753 citations as recorded by crossref.

1. Open Habitats under Threat in Mountainous, Mediterranean Landscapes: Land Abandonment Consequences in the Vegetation Cover of the Thessalian Part of Mt Agrafa (Central Greece) K. Chontos & I. Tsiripidis 10.3390/land12040846
2. Effects of land use/cover changes on soil organic carbon stocks in Qinghai-Tibet plateau: A comparative analysis of different ecological functional areas based on machine learning methods and soil carbon pool data H. Gao et al. 10.1016/j.jclepro.2023.139854
3. Future sea-level rise in northwest Mexico is projected to decrease the distribution and habitat quality of the endangered Calidris canutus roselaari (Red Knot) J. Garcia-Walther et al. 10.1093/ornithapp/duae023
4. The potential impact of future climate change on the production of a major food and cash crop in tropical (sub)montane homegardens M. Watts et al. 10.1016/j.scitotenv.2022.161263
5. Majority of global river flow sustained by groundwater J. Xie et al. 10.1038/s41561-024-01483-5
6. Agri-STAMP: A spatial model representing the use and fate of pesticides over the long term A. Tran et al. 10.1016/j.scitotenv.2024.178225
7. Estimation of Soil Organic Carbon Density on the Qinghai–Tibet Plateau Using a Machine Learning Model Driven by Multisource Remote Sensing Q. Chen et al. 10.3390/rs16163006
8. Soil salinity dynamics in arid oases during irrigated and non‐irrigated seasons C. Zhu et al. 10.1002/ldr.4632
9. Microevolutionary Perspectives for Conserving Plant Diversity in South Brazilian Grasslands (Campos Sulinos) A. Segatto et al. 10.1016/j.pecon.2024.04.003
10. Fine-resolution baseline maps of soil nutrients in farmland of Jiangxi Province using digital soil mapping and interpretable machine learning B. Hu et al. 10.1016/j.catena.2024.108635
11. Distribution, causal agents, and infection dynamic of emerging ink disease of sweet chestnut in Southern Switzerland S. Prospero et al. 10.1111/1462-2920.16455
12. Managing synthetic N-fertilizer emissions in India: Insights from field surveys across 102 districts B. Thirunagari et al. 10.1016/j.jenvman.2024.121909
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14. Large-scale changes in the distribution of suitable habitat of the endangered subtropical canopy tree species Vatica guangxiensis under climate change W. Luo et al. 10.1007/s10531-024-02908-8
15. Soil bulk density assessment in Europe P. Panagos et al. 10.1016/j.agee.2024.108907
16. Automatic Regionalization of Model Parameters for Hydrological Models M. Feigl et al. 10.1029/2022WR031966
17. National soil organic carbon map of agricultural lands in Nepal S. Lamichhane et al. 10.1016/j.geodrs.2022.e00568
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23. Prioritizing ecological restoration of converted lands in Canada by spatially integrating organic carbon storage and biodiversity benefits J. Currie et al. 10.1111/csp2.12924
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25. Mapping soil organic carbon stocks in Nepal’s forests S. Khanal et al. 10.1038/s41598-023-34247-z
26. Remotely sensed inter-field variation in soil organic carbon content as influenced by the cumulative effect of conservation tillage in northeast China J. Ma & P. Shi 10.1016/j.still.2024.106170
27. A new method for the timber tracing toolbox: applying multi-element analysis to determine wood origin L. Boeschoten et al. 10.1088/1748-9326/acc81b
28. A meta‐analysis highlights globally widespread potassium limitation in terrestrial ecosystems B. Chen et al. 10.1111/nph.19294
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40. Using pack animals instead of tractors in Central Italy's protected areas: No evidence of reduced soil disturbance F. Latterini et al. 10.1016/j.foreco.2024.122312
41. Ecohydrological processes can predict biocrust cover at regional scale but not global scale N. Chen et al. 10.1007/s11104-024-07079-7
42. Trends in the occurrence and accumulation of microplastics in urban soil of Nanjing and their policy implications Y. Zhou et al. 10.1016/j.scitotenv.2023.166144
43. Sensitivity Analysis of the RothC Model Using Two Climatic Datasets: A Case Study of Arable Soils in Rostov Oblast A. Gorbacheva et al. 10.3103/S0147687424700649
44. Mapping Brazilian soil mineralogy using proximal and remote sensing data N. Rosin et al. 10.1016/j.geoderma.2023.116413
45. ‘Fly to a Safer North’: Distributional Shifts of the Orchid Ophrys insectifera L. Due to Climate Change M. Charitonidou et al. 10.3390/biology11040497
46. Resource availability and disturbance frequency shape evolution of plant life forms in Neotropical habitats L. Prochazka et al. 10.1111/nph.19601
47. Relationships between Tree Species Diversity and Aboveground Biomass Are Mediated by Site-Dependent Factors in Northeastern China Natural Reserves on a Small Spatial Scale L. Yang et al. 10.3390/su16198378
48. High-Resolution Ammonia Emissions from Nitrogen Fertilizer Application in China during 2005–2020 Y. Chen et al. 10.3390/atmos13081297
49. Accounting for analytical and proximal soil sensing errors in digital soil mapping B. Takoutsing et al. 10.1111/ejss.13226
50. Towards a modular, multi-ecosystem monitoring, reporting and verification (MRV) framework for soil organic carbon stock change assessment N. Batjes et al. 10.1080/17583004.2024.2410812
51. Global patterns in endemicity and vulnerability of soil fungi L. Tedersoo et al. 10.1111/gcb.16398
52. A weakly supervised framework for high-resolution crop yield forecasts D. Paudel et al. 10.1088/1748-9326/acf50e
53. European croplands under climate change: Carbon input changes required to increase projected soil organic carbon stocks E. Bruni et al. 10.1016/j.scitotenv.2024.176525
54. Satellite Remote Sensing of Savannas: Current Status and Emerging Opportunities A. Abdi et al. 10.34133/2022/9835284
55. Geospatial prediction of total soil carbon in European agricultural land based on deep learning D. Radočaj et al. 10.1016/j.scitotenv.2023.169647
56. Construction of a daily streamflow dataset for Peru using a similarity-based regionalization approach and a hybrid hydrological modeling framework H. Llauca et al. 10.1016/j.ejrh.2023.101381
57. Pedology of archaeological stone-wall bench terraces D. Itkin et al. 10.1016/j.geoderma.2022.116129
58. Forest aboveground biomass estimation by GEDI and multi-source EO data fusion over Indian forest J. Mohite et al. 10.1080/01431161.2024.2307944
59. Revealing the hidden carbon in forested wetland soils A. Stewart et al. 10.1038/s41467-024-44888-x
60. Elevational Patterns of Forest Evapotranspiration and Its Sensitivity to Climatic Variation in Dryland Mountains H. Li et al. 10.3390/w16091252
61. Mapping and monitoring peatland conditions from global to field scale B. Minasny et al. 10.1007/s10533-023-01084-1
62. Tier 4 maps of soil pH at 25 m resolution for the Netherlands A. Helfenstein et al. 10.1016/j.geoderma.2021.115659
63. Habitat differentiation and environmental adaptability contribute to leaf size variations globally in C3 and C4 grasses W. Gao et al. 10.1016/j.scitotenv.2024.173309
64. Quantification of the uncertainty of geoscientific maps relying on human sensory engagement J. Asadi et al. 10.1007/s12665-024-11870-1
65. A long-term global Mollisols SOC content prediction framework: Integrating prior knowledge, geographical partitioning, and deep learning models with spatio-temporal validation X. Meng et al. 10.1016/j.rse.2024.114592
66. Evaluating plant lineage losses and gains in temperate forest understories: a phylogenetic perspective on climate change and nitrogen deposition J. Padullés Cubino et al. 10.1111/nph.19477
67. Current and future adaptation potential of heat-tolerant maize in Cameroon: a combined attribution and adaptation study L. Jansen et al. 10.1088/1748-9326/ada459
68. Releasing global forests from human management: How much more carbon could be stored? C. Roebroek et al. 10.1126/science.add5878
69. High‐resolution mapping of available water content in Senegal using iSDA Africa dataset and USDA Rosetta3 model J. Lavarenne & L. Leroux 10.1111/ejss.13461
70. On-site soil analysis: A novel approach combining NIR spectroscopy, remote sensing and deep learning M. Kok et al. 10.1016/j.geoderma.2024.116903
71. Assessing and mapping of soil organic carbon at multiple depths in the semi-arid Trans-Ural steppe zone S. Azamat et al. 10.1016/j.geodrs.2024.e00855
72. The effect of climate and land cover changes on the distribution of Actinodaphne areolata Blume, an endemic and endangered species in Java, Indonesia D. Usmadi et al. 10.1051/e3sconf/202337305004
73. Decadal increases in carbon uptake offset by respiratory losses across northern permafrost ecosystems C. See et al. 10.1038/s41558-024-02057-4
74. On-Site Soil Monitoring Using Photonics-Based Sensors and Historical Soil Spectral Libraries K. Karyotis et al. 10.3390/rs15061624
75. Resistance of ecosystem services to global change weakened by increasing number of environmental stressors G. Zhou et al. 10.1038/s41561-024-01518-x
76. Analysing the potential impacts of land use land cover (LULC) transformation on present and future carbon sequestration capabilities in the central Himalayas Z. Khan et al. 10.1007/s44288-024-00097-z
77. CSDMS Data Components: data–model integration tools for Earth surface processes modeling T. Gan et al. 10.5194/gmd-17-2165-2024
78. Simulating the Impacts of Drought and Warming in Summer and Autumn on the Productivity of Subtropical Coniferous Forests M. Xie et al. 10.3390/f13122147
79. Improving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability S. Díaz-Guadarrama et al. 10.5194/essd-16-1229-2024
80. SOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014 M. Guglielmo et al. 10.1038/s41597-021-01032-4
81. Identification of Groundwater Potential Recharge and Recharge Zones of Tumakuru District Using GIS S. Gubbi Ratna et al. 10.1007/s40030-023-00762-5
82. The Role of Remote Sensing Data and Methods in a Modern Approach to Fertilization in Precision Agriculture D. Radočaj et al. 10.3390/rs14030778
83. Global patterns and driving factors of plant litter iron, manganese, zinc, and copper concentrations Y. Peng et al. 10.1016/j.scitotenv.2022.159686
84. Ecological and biological indicators of the accuracy of species distribution models: lessons from European bryophytes F. Collart et al. 10.1111/ecog.06721
85. Guiding seed movement: environmental heterogeneity drives genetic differentiation in Plathymenia reticulata, providing insights for restoration T. Conceição et al. 10.1093/aobpla/plae032
86. Tip‐to‐base bark cross‐sectional areas contribute to understanding the drivers of carbon allocation to bark and the functional roles of bark tissues K. Vázquez‐Segovia et al. 10.1111/nph.20379
87. Comparing assumptions and applications of dynamic vegetation models used in the Arctic-Boreal zone of Alaska and Canada E. Heffernan et al. 10.1088/1748-9326/ad6619
88. Predicting the Global Potential Suitable Distribution of Fall Armyworm and Its Host Plants Based on Machine Learning Models Y. Huang et al. 10.3390/rs16122060
89. The Global Environmental Benefits of Halving Avoidable Consumer Food Waste A. Coudard et al. 10.1021/acs.est.4c04140
90. Optimizing Sampling Strategies for Near-Surface Soil Carbon Inventory: One Size Doesn’t Fit All C. Bettigole et al. 10.3390/soilsystems7010027
91. Defining large‐scale arid island vegetation recovery targets through evaluating a reference ecosystem within an archipelago extent N. Velasco et al. 10.1111/rec.14171
92. Improving pedotransfer functions for predicting soil mineral associated organic carbon by ensemble machine learning Y. Xiao et al. 10.1016/j.geoderma.2022.116208
93. Potential Satellite Monitoring of Surface Organic Soil Properties in Arctic Tundra From SMAP Y. Yi et al. 10.1029/2021WR030957
94. Global Soil Moisture Estimation based on GPM IMERG Data using a Site Specific Adjusted Antecedent Precipitation Index T. Ramsauer & P. Marzahn 10.1080/01431161.2022.2162351
95. Abiotic factors impact on oak forest decline in Lorestan Province, Western Iran S. Mehri et al. 10.1038/s41598-024-54551-6
96. Functional and phylogenetic dimensions of tree biodiversity reveal unique geographic patterns A. Paz et al. 10.1111/geb.13877
97. Development of inter-grid-cell lateral unsaturated and saturated flow model in the E3SM Land Model (v2.0) H. Qiu et al. 10.5194/gmd-17-143-2024
98. Thermokarst lake susceptibility assessment using machine learning models in permafrost landscapes of the Arctic R. Wang et al. 10.1016/j.scitotenv.2023.165709
99. High potential for Brassica tournefortii spread in North American introduced range, despite highly conserved niche C. Rodriguez et al. 10.1007/s10530-023-03176-3
100. Spatial Interpolation of Gravimetric Soil Moisture Using EM38-mk Induction and Ensemble Machine Learning (Case Study from Dry Steppe Zone in Volgograd Region) A. Zeyliger et al. 10.3390/s22166153
101. Optimized modelling of countrywide soil organic carbon levels via an interpretable decision tree N. Kebonye et al. 10.1016/j.atech.2022.100106
102. Exploring the landscape scale influences of tree cover on crop yield in an agroforestry parkland using satellite data and spatial statistics M. Karlson et al. 10.1016/j.jaridenv.2023.105051
103. Retrieving the irrigation actually applied at district scale: Assimilating high-resolution Sentinel-1-derived soil moisture data into a FAO-56-based model P. Laluet et al. 10.1016/j.agwat.2024.108704
104. Soil pH drives the relationship between the vertical distribution of soil microbial biomass and soil organic carbon across terrestrial ecosystems: A global synthesis Y. Liang et al. 10.1016/j.catena.2024.107873
105. Relative decline in density of Northern Hemisphere tree species in warm and arid regions of their climate niches J. Astigarraga et al. 10.1073/pnas.2314899121
106. The integration of hierarchical levels of scale in tree species distribution models of silver fir (Abies alba Mill.) and European beech (Fagus sylvatica L.) in mountain forests A. Simon et al. 10.1016/j.ecolmodel.2023.110499
107. Multiple drivers of functional diversity in temperate forest understories: Climate, soil, and forest structure effects S. Chelli et al. 10.1016/j.scitotenv.2024.170258
108. Spatializing soil elemental concentration as measured by X-ray fluorescence analysis using remote sensing data N. Rosin et al. 10.1016/j.catena.2024.107988
109. Sedimentary organic carbon storage of thermokarst lakes and ponds across Tibetan permafrost region Z. Wei et al. 10.1016/j.scitotenv.2022.154761
110. Web-based spatial decision support system for precision agriculture: A tool for delineating dynamic management unit zones (MUZs) S. Lanucara et al. 10.1016/j.atech.2024.100444
111. Vegetation‐Promoted Soil Structure Inhibits Hydrologic Landslide Triggering and Alters Carbon Fluxes L. Fan et al. 10.1029/2022GL100389
112. Simulating water dynamics related to pedogenesis across space and time: Implications for four-dimensional digital soil mapping P. Owens et al. 10.1016/j.geoderma.2024.116911
113. Interpreting and evaluating digital soil mapping prediction uncertainty: A case study using texture from SoilGrids L. Lilburne et al. 10.1016/j.geoderma.2024.117052
114. SAR2ET: End-to-End SAR-Driven Multisource ET Imagery Estimation Over Croplands S. Cetin et al. 10.1109/JSTARS.2024.3447033
115. Upscaling drought resilience by coupling soil data and UAV-multispectral imageries G. Sofia et al. 10.1016/j.scitotenv.2024.178007
116. CoBacFM: Core bacteria forecast model for global grassland pH dynamics under future climate warming scenarios K. Feng et al. 10.1016/j.oneear.2024.06.002
117. A comprehensive framework for stochastic calibration and sensitivity analysis of large-scale groundwater models A. Manzoni et al. 10.5194/hess-28-2661-2024
118. Labile not stable SOC fractions constitute the manageable drivers of soil health advances in carbon farming S. Wieser et al. 10.1016/j.geoderma.2024.116991
119. Hydrology, vegetation, and soil properties as key drivers of soil organic carbon in coastal wetlands: A high-resolution study M. Guo et al. 10.1016/j.ese.2024.100482
120. Identification of groundwater potential zones in data-scarce mountainous region using explainable machine learning K. Dahal et al. 10.1016/j.jhydrol.2023.130417
121. Earthworms contribute significantly to global food production S. Fonte et al. 10.1038/s41467-023-41286-7
122. Modeling potential site productivity for Austrocedrus chilensis trees in northern Patagonia (Argentina) F. Oddi et al. 10.1016/j.foreco.2022.120525
123. Genomic insights into local adaptation and vulnerability of Quercus longinux to climate change P. Sun et al. 10.1186/s12870-024-04942-8
124. A European soil organic carbon monitoring system leveraging Sentinel 2 imagery and the LUCAS soil data base B. van Wesemael et al. 10.1016/j.geoderma.2024.117113
125. Threat patterns for endemic plants of Argentina reveal disparity of vulnerability and protection among spatially associated species groups D. Salariato et al. 10.1016/j.jnc.2023.126422
126. Machine learning modeling reveals the spatial variations of lake water salinity on the endorheic Tibetan Plateau P. Xu et al. 10.1016/j.ejrh.2024.102042
127. Dakota skipper distribution model for North Dakota, South Dakota, and Minnesota aids conservation planning under changing climate scenarios K. Barnes et al. 10.3389/fevo.2024.1304748
128. Application and Evaluation of a Simple Crop Modelling Framework: A Case Study for Spring Barley, Winter Wheat and Winter Oilseed Rape over Ireland D. Upreti et al. 10.3390/agronomy12112900
129. Ecological landscape explains aquifers microbial structure F. Barbosa et al. 10.1016/j.scitotenv.2022.160822
130. Estimating the uncertainties of satellite derived soil moisture at global scale F. Gibon et al. 10.1016/j.srs.2024.100147
131. Soil Information on a Regional Scale: Two Machine Learning Based Approaches for Predicting Ksat H. Zeitfogel et al. 10.2139/ssrn.4143185
132. Spatial predictions of maize yields using QUEFTS – A comparison of methods M. Breure et al. 10.1016/j.geoderma.2022.116018
133. Evaluation of distributed process-based hydrologic model performance using only a priori information to define model inputs S. Bhanja et al. 10.1016/j.jhydrol.2023.129176
134. Benefits of hierarchical predictions for digital soil mapping—An approach to map bimodal soil pH M. Nussbaum et al. 10.1016/j.geoderma.2023.116579
135. SHIFT: a spatial-heterogeneity improvement in DEM-based mapping of global geomorphic floodplains K. Zheng et al. 10.5194/essd-16-3873-2024
136. Implications of zero-deforestation palm oil for tropical grassy and dry forest biodiversity S. Fleiss et al. 10.1038/s41559-022-01941-6
137. A Modeling Framework to Frame a Biological Invasion: Impatiens glandulifera in North America O. Kanmaz et al. 10.3390/plants12071433
138. Drivers and patterns of community completeness suggest that Tuscan Fagus sylvatica forests can naturally have a low plant diversity E. Fanfarillo et al. 10.1016/j.fecs.2024.100276
139. Generation of global 1 km daily soil moisture product from 2000 to 2020 using ensemble learning Y. Zhang et al. 10.5194/essd-15-2055-2023
140. National soil data in EU countries, where do we stand? S. Cornu et al. 10.1111/ejss.13398
141. Accuracy of regional-to-global soil maps for on-farm decision-making: are soil maps “good enough”? J. Maynard et al. 10.5194/soil-9-277-2023
142. Relationship between soil 15N natural abundance and soil water content at global scale: Patterns and implications X. Lai et al. 10.1016/j.catena.2022.106879
143. Assessing Temporal Trade-Offs of Ecosystem Services by Production Possibility Frontiers W. Jiang et al. 10.3390/rs15030749
144. Climate change causes spatial shifts in the productivity of agricultural long-term field experiments C. Donmez et al. 10.1016/j.eja.2024.127121
145. Prediction and Uncertainty Capabilities of Quantile Regression Forests in Estimating Spatial Distribution of Soil Organic Matter M. Nikou & P. Tziachris 10.3390/ijgi11020130
146. High-Resolution Quantitative Retrieval of Soil Moisture Based on Multisource Data Fusion with Random Forests: A Case Study in the Zoige Region of the Tibetan Plateau Y. Ma et al. 10.3390/rs15061531
147. A linear positive relationship between tree species diversity and forest productivity across forest-dominated natural reserves on a large spatial scale L. Yang et al. 10.1016/j.foreco.2023.121409
148. Hydro-pedotransfer functions: a roadmap for future development T. Weber et al. 10.5194/hess-28-3391-2024
149. Evaluating soil moisture retrieval in Arctic and sub-Arctic environments using passive microwave satellite data J. Ortet et al. 10.1080/17538947.2024.2385079
150. On the Geoderma special issue “Digital soil mapping for a sustainable future” D. Arrouays et al. 10.1016/j.geoderma.2024.117122
151. Assessing spatially heterogeneous scale representation with applied digital soil mapping D. Newman et al. 10.1016/j.envsoft.2022.105612
152. Central America’s agro-ecological suitability for cultivating coca, Erythroxylum spp P. Murillo-Sandoval et al. 10.1088/1748-9326/ad7276
153. Permafrost Dynamics Observatory (PDO): 2. Joint Retrieval of Permafrost Active Layer Thickness and Soil Moisture From L‐Band InSAR and P‐Band PolSAR R. Chen et al. 10.1029/2022EA002453
154. Mapping forest site quality at national level A. Aguirre et al. 10.1016/j.foreco.2022.120043
155. 3–4D soil model as challenge for future soil research: Quantitative soil modeling based on the solid phase H. Gerke et al. 10.1002/jpln.202200239
156. Atmospheric factors outweigh species traits and soil properties in explaining spatiotemporal variation in water-use efficiency of tropical and subtropical forest species S. Tang et al. 10.1016/j.agrformet.2022.109056
157. Global patterns and determinants of the initial concentrations of litter carbon components J. Yuan et al. 10.1016/j.scitotenv.2024.175844
158. What ecological factors to integrate in landslide susceptibility mapping? An exploratory review of current trends in support of eco-DRR M. Broquet et al. 10.1016/j.pdisas.2024.100328
159. The prevalent life cycle of agricultural flash droughts M. Lovino et al. 10.1038/s41612-024-00618-0
160. SAGAscape: Simulating Resource Exploitation Strategies in Iron Age to Hellenistic Communities in Southwest Anatolia S. Boogers & D. Daems 10.5334/jcaa.90
161. Modelling habitat suitability of the critically endangered Agarwood (Aquilaria malaccensis) in the Indian East Himalayan region A. Hazarika et al. 10.1007/s10531-023-02727-3
162. Predicting suitable breeding areas for different locust species – A multi-scale approach accounting for environmental conditions and current land cover situation I. Klein et al. 10.1016/j.jag.2021.102672
163. What explains the high island endemicity of Philippine Rafflesia? A species distribution modeling analysis of three threatened parasitic plant species and their hosts J. Obico et al. 10.1002/ajb2.16267
164. Colombian soil texture: building a spatial ensemble model V. Varón-Ramírez et al. 10.5194/essd-14-4719-2022
165. Geospatial Machine Learning Prediction of Arsenic Distribution in the Groundwater of Murshidabad District, West Bengal, India: Analyzing Spatiotemporal Patterns to Understand Human Health Risk B. Nath et al. 10.1021/acsestwater.2c00263
166. Spatio-Temporal Variations in Soil pH and Aluminum Toxicity in Sub-Saharan African Croplands (1980–2050) Y. Uwiragiye et al. 10.3390/rs15051338
167. Effects of sample size and covariate resolution on field-scale predictive digital mapping of soil carbon D. Saurette et al. 10.1016/j.geoderma.2022.116054
168. Evaluating the impact of weather forecasts on productivity and environmental footprint of irrigated maize production systems B. Collins et al. 10.1016/j.scitotenv.2024.176368
169. Fertilization and soil management machine learning based sustainable agronomic prescriptions for durum wheat in Italy M. Fiorentini et al. 10.1007/s11119-024-10153-w
170. Forecast the Habitat Sustainability of Schoenus ferrugineus L. (Cyperaceae) in the Southern Urals under Climate Change N. Fedorov et al. 10.3390/plants13111563
171. A global numerical classification of the soil surface layer A. Wadoux & A. McBratney 10.1016/j.geoderma.2024.116915
172. Integrating a crop model with a greenhouse gas calculator to identify low carbon agricultural intensification options for smallholder farmers in rural South Africa F. Rusere et al. 10.1007/s10098-022-02272-7
173. Global mapping of volumetric water retention at 100, 330 and 15 000 cm suction using the WoSIS database M. Turek et al. 10.1016/j.iswcr.2022.08.001
174. Perennial intermediate wheatgrass accumulates more soil organic carbon than annual winter wheat – a model assessment F. Tang et al. 10.1007/s11104-023-06298-8
175. Evaluation of Soil Loss and Sediment Yield Based on GIS and Remote Sensing Techniques in a Complex Amazon Mountain Basin of Peru: Case Study Mayo River Basin, San Martin Region K. Camacho-Zorogastúa et al. 10.3390/su15119059
176. A random forest model to predict soil organic carbon storage in mangroves from Southern Colombian Pacific coast A. Moreno Muñoz et al. 10.1016/j.ecss.2024.108674
177. Cropland Suitability Prediction Method Based on Biophysical Variables from Copernicus Data and Machine Learning D. Radočaj et al. 10.3390/app15010372
178. Topoedaphic constraints on woody plant cover in a semi-arid grassland S. Jones et al. 10.1016/j.ecolind.2023.110226
179. Degradation of ice-wedge polygons leads to increased fluxes of water and DOC N. Speetjens et al. 10.1016/j.scitotenv.2024.170931
180. Machine learning may accelerate the recognition and control of microplastic pollution: Future prospects F. Yu & X. Hu 10.1016/j.jhazmat.2022.128730
181. Remote Sensing Prediction Model of Cultivated Land Soil Organic Matter Considering the Best Time Window Y. Wang et al. 10.3390/su15010469
182. Soil information on a regional scale: Two machine learning based approaches for predicting saturated hydraulic conductivity H. Zeitfogel et al. 10.1016/j.geoderma.2023.116418
183. Toward Robust Parameterizations in Ecosystem‐Level Photosynthesis Models S. Bao et al. 10.1029/2022MS003464
184. Gridded, temporally referenced spatial information on soil organic carbon for Hungary G. Szatmári et al. 10.1038/s41597-024-04158-3
185. Integrating ecological niche modeling and rates of evolution to model geographic regions of mimetic color pattern selection M. Muell & J. Brown 10.1007/s10682-024-10290-8
186. In silico calculation of soil pH by SCEPTER v1.0 Y. Kanzaki et al. 10.5194/gmd-17-4515-2024
187. A Multiscale Cost–Benefit Analysis of Digital Soil Mapping Methods for Sustainable Land Management D. Radočaj et al. 10.3390/su141912170
188. Finer soil properties mapping framework for broad-scale area: A case study of Hubei Province, China R. Wang et al. 10.1016/j.geoderma.2024.117023
189. Land-use determines the distribution of large branchiopods in climatically homogeneous northern Pannonia A. Devánová et al. 10.1016/j.gecco.2024.e03300
190. Life history strategies of soil bacterial communities across global terrestrial biomes G. Piton et al. 10.1038/s41564-023-01465-0
191. Forest Orchids under Future Climate Scenarios: Habitat Suitability Modelling to Inform Conservation Strategies A. Pica et al. 10.3390/plants13131810
192. Functional evaluation of different soil hydraulic parametrizations in hydrological simulations reveals different model efficiency for soil moisture and water budget Z. Kozma et al. 10.2478/johh-2024-0013
193. Spectra transfer based learning for predicting and classifying soil texture with short-ranged Vis-NIRS sensor M. Munnaf & A. Mouazen 10.1016/j.still.2022.105545
194. Soil Organic Carbon Estimation and Transfer Framework in Agricultural Areas Based on Spatiotemporal Constraint Strategy Combined with Active and Passive Remote Sensing J. Qian et al. 10.3390/rs17020333
195. Headwater refuges: Flow protects Austropotamobius crayfish from Faxonius limosus invasion A. Satmari et al. 10.3897/neobiota.89.110085
196. Sustainability and drivers of Populus tremuloides regeneration and recruitment near the southwestern edge of its range C. Crouch et al. 10.1093/forestry/cpae018
197. Global and regional soil organic carbon estimates: Magnitudes and uncertainties Z. LIN et al. 10.1016/j.pedsph.2023.06.005
198. Determinants of growth and carbon accumulation of common plantation tree species in the three northern regions, China: Responses to climate and management strategies Y. Xie et al. 10.1016/j.scitotenv.2023.165831
199. Mapping 30-m Resolution Bioclimatic Variables During 1991–2020 Climate Normals for Hubei Province, the Yangtze River Middle Reaches R. Wang et al. 10.1109/JSTARS.2024.3358829
200. Farm vehicles approaching weights of sauropods exceed safe mechanical limits for soil functioning T. Keller & D. Or 10.1073/pnas.2117699119
201. Digital soil mapping of copper in Sweden: Using the prediction and uncertainty as decision support in crop micronutrient management K. Adler et al. 10.1016/j.geodrs.2022.e00562
202. Challenges in data-driven geospatial modeling for environmental research and practice D. Koldasbayeva et al. 10.1038/s41467-024-55240-8
203. A Prototype Decision Support System for Tree Selection and Plantation with a Focus on Agroforestry and Ecosystem Services N. Yadav et al. 10.3390/f15071219
204. A novel framework to generate plant functional groups for ecological modelling M. Calbi et al. 10.1016/j.ecolind.2024.112370
205. Space-time modelling of soil organic carbon stock change at multiple scales: Case study from Hungary G. Szatmári et al. 10.1016/j.geoderma.2024.117067
206. Spectra-phenology integration for high-resolution, accurate, and scalable mapping of foliar functional traits using time-series Sentinel-2 data S. Liu et al. 10.1016/j.rse.2024.114082
207. Mapping Soil Organic Carbon in Floodplain Farmland: Implications of Effective Range of Environmental Variables Z. Wu et al. 10.3390/land12061198
208. An advanced global soil erodibility (K) assessment including the effects of saturated hydraulic conductivity S. Gupta et al. 10.1016/j.scitotenv.2023.168249
209. Spatial patterns of phylogenetic diversity in the Andean tribe Eudemeae (Brassicaceae) and their association with climatic gradients in western South America D. Salariato & F. Zuloaga 10.1007/s12224-024-09457-6
210. Long-term growth decline is not reflected in crown condition of European beech after a recent extreme drought E. van der Maaten et al. 10.1016/j.foreco.2023.121516
211. Spatiotemporal distribution patterns and ecological risk of multi-pesticide residues in the surface water of a typical agriculture area in China W. Li et al. 10.1016/j.scitotenv.2023.161872
212. Spatial prediction of soil sand content at various sampling density based on geostatistical and machine learning algorithms in plain areas L. Qu et al. 10.1016/j.catena.2023.107572
213. Regional Soil Patterns as Indicators of Late Cenozoic Change in the Critical Zone: A Baseline Synthesis for the Landscapes of Peninsular India Y. Gunnell et al. 10.3389/esss.2024.10097
214. Can global warming be beneficial for Arctic-alpine orchid species? Outcomes from ecological niche modeling for Chamorchis alpina (L.) Rich. (Orchidaceae) M. Kolanowska et al. 10.1016/j.scitotenv.2024.173616
215. Sentinel-1 Imagery Used for Estimation of Soil Organic Carbon by Dual-Polarization SAR Vegetation Indices E. Santos et al. 10.3390/rs15235464
216. A new species of alkali-sink Paruroctonus Werner, 1934 (Scorpiones, Vaejovidae) from California’s San Joaquin Valley P. Jain et al. 10.3897/zookeys.1185.103574
217. Using random forests to explore the feasibility of groundwater knowledge transfer between the contiguous US and Denmark Y. Ma et al. 10.1088/2515-7620/ad9b08
218. Hand-feel soil texture classes and particle-size distribution as predictors of soil water content at field capacity. Further insights into the sources of uncertainty A. Richer-de-Forges et al. 10.1016/j.catena.2024.108268
219. New geomorphometric variables for non-continuous hillslopes – Assessing the value for digital soil mapping A. Temme et al. 10.1016/j.geoderma.2022.115848
220. A global map of root biomass across the world's forests Y. Huang et al. 10.5194/essd-13-4263-2021
221. Global Crop-Specific Fertilization Dataset from 1961–2019 F. Coello et al. 10.1038/s41597-024-04215-x
222. Global crop production increase by soil organic carbon Y. Ma et al. 10.1038/s41561-023-01302-3
223. An ensemble neural network approach for space–time landslide predictive modelling J. Lim et al. 10.1016/j.jag.2024.104037
224. A new methodology for establishing an SOC content prediction model that is spatiotemporally transferable at multidecadal and intercontinental scales X. Meng et al. 10.1016/j.isprsjprs.2024.09.038
225. Soil moisture content retrieval from Landsat 8 data using ensemble learning Y. Zhang et al. 10.1016/j.isprsjprs.2022.01.005
226. Datasets for the development of hemp (Cannabis sativa L.) as a crop for the future in tropical environments (Malaysia) E. Wimalasiri et al. 10.1016/j.dib.2022.107807
227. Soil properties and geomorphic processes influence vegetation composition, structure, and function in the Cerrado Domain D. Lira-Martins et al. 10.1007/s11104-022-05517-y
228. Community-level differentiation of Grime's CSR strategies along a post-abandonment secondary successional gradient A. Mastrogianni et al. 10.1016/j.flora.2023.152399
229. Mapping high resolution National Soil Information Grids of China F. Liu et al. 10.1016/j.scib.2021.10.013
230. Modeling and mapping spatial distribution of baseline soil organic carbon stock, a case of West Hararghe, Oromia Regional State, Eastern Ethiopia M. Negassa et al. 10.1080/24749508.2023.2167632
231. Global Soil Salinity Prediction by Open Soil Vis-NIR Spectral Library Y. Zhou et al. 10.3390/rs14215627
232. Latitudinal patterns of tree β-diversity and relevant ecological processes vary across spatial extents in forests of southeastern China M. Liu et al. 10.1016/j.pld.2024.11.003
233. International demand for food and services drives environmental footprints of pesticide use F. Tang et al. 10.1038/s43247-022-00601-8
234. High resolution mapping shows differences in soil carbon and nitrogen stocks in areas of varying landscape history in Canadian lowland tundra J. Wagner et al. 10.1016/j.geoderma.2023.116652
235. Potential impacts of climate change on wild cherry distribution and associated consequences on brown bears J. Pérez-Girón et al. 10.1016/j.biocon.2023.110390
236. Retrogressive thaw slump susceptibility in the northern hemisphere permafrost region E. Makopoulou et al. 10.1002/esp.5890
237. Modeling the spatial distribution of soil physical properties in a semiarid tropical region J. Inácio Silva et al. 10.1016/j.catena.2024.108311
238. Chemical Mixtures and Multiple Stressors: Same but Different? R. Schäfer et al. 10.1002/etc.5629
239. Pedogenic pathways and deep weathering controls on soil organic carbon in Pacific Northwest forest soils B. Hunter et al. 10.1016/j.geoderma.2023.116531
240. Earth Observation Data-Driven Cropland Soil Monitoring: A Review N. Tziolas et al. 10.3390/rs13214439
241. Global patterns and abiotic drivers of ecosystem multifunctionality in dominant natural ecosystems Y. Wang et al. 10.1016/j.envint.2022.107480
242. Lithium quantification based on random forest with multi-source geoinformation in Coipasa salt flats, Bolivia F. Antezana Lopez et al. 10.1016/j.jag.2023.103184
243. Remote sensing of the Earth's soil color in space and time R. Rizzo et al. 10.1016/j.rse.2023.113845
244. Integrating multi-year crop inventories as a proxy for soil management within a digital soil mapping framework for predicting nitrogen indices L. Laurence et al. 10.1016/j.geoderma.2024.116944
245. Seasonal Biotic Processes Vary the Carbon Turnover by Up To One Order of Magnitude in Wetlands C. Pasut et al. 10.1029/2022GB007679
246. Forest stand and soil types determine soil organic carbon storage in the Middle Atlas region of Morocco using machine learning models M. El Mderssa et al. 10.1080/27669645.2024.2400432
247. Low sensitivity of three terrestrial biosphere models to soil texture over the South American tropics F. Meunier et al. 10.5194/gmd-15-7573-2022
248. Calendula arvensis (Vaill.) L. Florets: Every Place and Season Resource? A Preliminary UHPLC-HRMS-Driven Assessment M. Fiorentino et al. 10.1021/acsfoodscitech.4c00158
249. Soil mapping, digital soil mapping and soil monitoring over large areas and the dimensions of soil security – A review D. Arrouays et al. 10.1016/j.soisec.2021.100018
250. High-resolution digital soil mapping of amorphous iron- and aluminium-(hydr)oxides to guide sustainable phosphorus and carbon management M. van Doorn et al. 10.1016/j.geoderma.2024.116838
251. Global insights into endophytic bacterial communities of terrestrial plants: Exploring the potential applications of endophytic microbiota in sustainable agriculture L. Huang et al. 10.1016/j.scitotenv.2024.172231
252. In-situ prediction of soil organic carbon contents in wheat-rice rotation fields via visible near-infrared spectroscopy L. Dai et al. 10.1016/j.seh.2024.100113
253. Reference maps of soil phosphorus for the pan-Amazon region J. Darela-Filho et al. 10.5194/essd-16-715-2024
254. Machine learning-based predictions of current and future susceptibility to retrogressive thaw slumps across the Northern Hemisphere J. Luo et al. 10.1016/j.accre.2024.03.001
255. Spatial Estimates of Soil Moisture for Understanding Ecological Potential and Risk: A Case Study for Arid and Semi-Arid Ecosystems M. O’Donnell & D. Manier 10.3390/land11101856
256. Maps of Soil Organic Carbon Sequestration Potential in the Russian Croplands V. Romanenkov et al. 10.1134/S106422932360375X
257. Upscaling Forest Canopy Height Estimation Using Waveform-Calibrated GEDI Spaceborne LiDAR and Sentinel-2 Data J. Wang et al. 10.3390/rs16122138
258. Semi-supervised learning for the spatial extrapolation of soil information R. Taghizadeh-Mehrjardi et al. 10.1016/j.geoderma.2022.116094
259. Ensemble learning-based crop yield estimation: a scalable approach for supporting agricultural statistics P. Brandt et al. 10.1080/15481603.2024.2367808
260. High-resolution mapping of soil carbon stocks in the western Amazon C. Moquedace et al. 10.1016/j.geodrs.2024.e00773
261. Future soil organic carbon stocks in China under climate change J. Wu et al. 10.1016/j.crsus.2024.100179
262. Mapping of Soil Organic Carbon Stocks Based on Aerial Photography in a Fragmented Desertification Landscape J. Lian et al. 10.3390/rs14122829
263. Management-induced changes in soil organic carbon on global croplands K. Karstens et al. 10.5194/bg-19-5125-2022
264. Soil organic carbon stock prediction using multi-spatial resolutions of environmental variables: How well does the prediction match local references? M. Zeraatpisheh et al. 10.1016/j.catena.2023.107197
265. Predictive performance of machine learning model with varying sampling designs, sample sizes, and spatial extents A. Bouasria et al. 10.1016/j.ecoinf.2023.102294
266. Disentangling coastal groundwater level dynamics in a global dataset A. Nolte et al. 10.5194/hess-28-1215-2024
267. Input uncertainty in CSM-CERES-wheat modeling: Dry farming and irrigated conditions using alternative weather and soil data M. Nouri et al. 10.1016/j.eja.2024.127401
268. Evaluation of the United Nations Sustainable Development Goal 15.3.1 indicator of land degradation in the European Union C. Schillaci et al. 10.1002/ldr.4457
269. Grazing herbivores reduce herbaceous biomass and fire activity across African savannas A. Karp et al. 10.1111/ele.14450
270. Modelling the 2021 East Asia super dust storm using FLEXPART and FLEXDUST and its comparison with reanalyses and observations H. Tang et al. 10.3389/fenvs.2022.1013875
271. Mining soil data of Switzerland: New maps for soil texture, soil organic carbon, nitrogen, and phosphorus S. Gupta et al. 10.1016/j.geodrs.2023.e00747
272. Modeling European beech defoliation at a regional scale gradient in Germany from northern lowlands to central uplands using geo-ecological parameters, Sentinel-2 and National Forest Condition Survey data C. Xu et al. 10.1016/j.foreco.2024.122383
273. Assessing the utility of SoilGrids250 for biogeographic inference of plant populations T. Miller et al. 10.1002/ece3.10986
274. Global soil erodibility factor (K) mapping and algorithm applicability analysis M. Yang et al. 10.1016/j.catena.2024.107943
275. 青藏高原东北部高寒山区土壤水文属性数据和土壤水定位观测网 杰. 田 et al. 10.1360/N072022-0336
276. Evaluation of infiltration models based on simple multicriteria decision making across various soil types and land uses in India T. Ghosh et al. 10.1007/s12665-024-11872-z
277. Reducing location error of legacy soil profiles leads to improvement in digital soil mapping G. Shi et al. 10.1016/j.geoderma.2024.116912
278. CYGNSS toprak nemi verilerinin SMAP uydusu ve ISMN istasyonları ile karşılaştırmalı analizi M. Çevikalp et al. 10.29128/geomatik.1424069
279. MaxEnt modeling for habitat suitability assessment of threatened Dipterocarpus species in the Indian East Himalayas A. Hazarika et al. 10.1007/s10531-024-02997-5
280. Contrasting invasion patterns of two closely related Solidago alien species K. Skokanová et al. 10.1111/jbi.14785
281. Modeling drivers of satellite-derived net primary productivity: inclusion of non-vegetated areas can be potential source of error T. Buba 10.1080/01431161.2024.2368932
282. Impacts of soil management and climate on saturated and near-saturated hydraulic conductivity: analyses of the Open Tension-disk Infiltrometer Meta-database (OTIM) G. Blanchy et al. 10.5194/hess-27-2703-2023
283. Geodiversity data for Europe M. Toivanen et al. 10.1098/rsta.2023.0173
284. Mapping soil organic matter content using Sentinel-2 synthetic images at different time intervals in Northeast China C. Luo et al. 10.1080/17538947.2023.2192005
285. Application of Deep Convolutional Networks for Improved Risk Assessments of Post-Wildfire Drinking Water Contamination A. Schmidt et al. 10.2139/ssrn.4132138
286. Hand-feel soil texture observations to evaluate the accuracy of digital soil maps for local prediction of soil particle size distribution: A case study in Central France A. RICHER-de-FORGES et al. 10.1016/j.pedsph.2022.07.009
287. The dynamics of soil nutrients in cold desert environments in the north-west Himalayas under a variety of forest types using geographical information system R. Kumar et al. 10.1007/s10668-023-03489-2
288. An inverse dielectric mixing model at 50 MHz that considers soil organic carbon C. Park et al. 10.5194/hess-25-6407-2021
289. Integrating Convolutional Attention and Encoder–Decoder Long Short-Term Memory for Enhanced Soil Moisture Prediction J. Han et al. 10.3390/w16233481
290. The potential of remote sensing for improved infectious disease ecology research and practice C. Teitelbaum et al. 10.1098/rspb.2024.1712
291. Factor analytic selection tools and environmental feature-integration enable holistic decision-making in Eucalyptus breeding S. Chaves et al. 10.1038/s41598-024-69299-2
292. Locally enhanced digital soil mapping in support of a bottom-up approach is more accurate than conventional soil mapping and top-down digital soil mapping M. Bohn & B. Miller 10.1016/j.geoderma.2024.116781
293. Future soil erosion assessment based on changing land cover and different climate change scenarios in a transboundary river basin H. Yu et al. 10.1080/17538947.2023.2301434
294. Effects of environment and genotype-by-environment interaction on phenotype of Rorippa elata (Brassicaceae), an endemic alpine plant in the Hengduan mountains Z. Du et al. 10.1093/jpe/rtae048
295. Assessing the Reliability of Pedotransfer Functions for Predicting Water Retention Variability in Tropical Soils: Implications for Environmental Process Modeling E. Wimalasiri et al. 10.1134/S1064229324601513
296. Predicting the Habitat Suitability for Angelica gigas Medicinal Herb Using an Ensemble Species Distribution Model J. Jung et al. 10.3390/f14030592
297. Improving global soil moisture prediction through cluster-averaged sampling strategy Q. Li et al. 10.1016/j.geoderma.2024.116999
298. Grassland degradation by shrub encroachment: Mapping patterns and drivers of encroachment in Kyrgyzstan E. Khazieva et al. 10.1016/j.jaridenv.2022.104849
299. Global analysis of soil bacterial genera and diversity in response to pH X. Zhou et al. 10.1016/j.soilbio.2024.109552
300. Explainable artificial intelligence in geoscience: A glimpse into the future of landslide susceptibility modeling A. Dahal & L. Lombardo 10.1016/j.cageo.2023.105364
301. Exploring the untapped potential of hand-feel soil texture data for enhancing digital soil mapping: Revealing hidden spatial patterns from field observations A. Eymard et al. 10.1016/j.geoderma.2023.116769
302. Sustainable Water Resources Management under Climate Change: A Case Study with Potato Irrigation in an Insular Mediterranean Environment V. Litskas et al. 10.3390/hydrology10120218
303. Mineral transformation, element transport and hydrological impact in weathering at the Bingling Temple Grottoes: Implications for weathering in alkaline environments in NW China R. Liao et al. 10.1016/j.catena.2024.107966
304. Carbon Farming practices assessment: Modelling spatial changes of Soil Organic Carbon in Flanders, Belgium S. Spotorno et al. 10.1016/j.scitotenv.2024.171267
305. Multi-method distribution modelling of an invasive crayfish (Pontastacus leptodactylus) at Eurasian scale J. Hodson et al. 10.1007/s10750-024-05641-z
306. High potential for pile-bearing capacity loss and ground subsidence over permafrost regions across the Northern Hemisphere G. Yin et al. 10.1016/j.gloplacha.2023.104156
307. SOC content of global Mollisols at a 30 m spatial resolution from 1984 to 2021 generated by the novel ML-CNN prediction model X. Meng et al. 10.1016/j.rse.2023.113911
308. Spatial variation of global surface soil rock fragment content and its roles on hydrological and ecological patterns X. Lai et al. 10.1016/j.catena.2021.105752
309. Habitat preferences, spatial distribution and current population status of endangered giant flower Amorphophallus titanum A. Yudaputra et al. 10.1007/s10531-022-02366-0
310. Climate-sensitive spatial variability of soil organic carbon in multiple forests, Central China C. Shen et al. 10.1016/j.gecco.2023.e02555
311. Measurement error-filtered machine learning in digital soil mapping S. van der Westhuizen et al. 10.1016/j.spasta.2021.100572
312. Effect of spatial scale of soil data on estimates of soil ecosystem services: Case study in 100 km2 area in France O. Scammacca et al. 10.1111/ejss.13359
313. Historical Hazard Assessment of Climate and Land Use–Land Cover Effects on Soil Erosion Using Remote Sensing: Case Study of Oman S. Shojaeezadeh et al. 10.3390/rs16162976
314. Machine Learning Techniques for Estimating Hydraulic Properties of the Topsoil across the Zambezi River Basin M. Kalumba et al. 10.3390/land11040591
315. Mapping snow gliding distances: Bridging modelled and field observations S. Gupta et al. 10.1016/j.coldregions.2024.104402
316. Thermokarst Lake Susceptibility Assessment Induced by Permafrost Degradation in the Qinghai–Tibet Plateau Using Machine Learning Methods R. Wang et al. 10.3390/rs15133331
317. Soil organic carbon change can reduce the climate benefits of biofuel produced from forest residues K. Lan et al. 10.1016/j.joule.2023.12.018
318. Can Thailand Protect 30% of Its Land Area for Biodiversity, and Will This Be Enough? N. Pomoim et al. 10.3390/d14050344
319. Early Crop Mapping Using Dynamic Ecoregion Clustering: A USA-Wide Study Y. Wang et al. 10.3390/rs15204962
320. Uncertainty of spatial averages and totals of natural resource maps A. Wadoux & G. Heuvelink 10.1111/2041-210X.14106
321. Risk Analysis of Soil Erosion Using Remote Sensing, GIS, and Machine Learning Models in Imbabura Province, Ecuador F. Garrido & P. Granda 10.1007/s42979-024-03150-3
322. Testing the contribution of vertebrate predators and leaf traits to mainland–island differences in insect herbivory on oaks C. Vázquez‐González et al. 10.1111/1365-2745.14444
323. Prediction of soil organic carbon fractions in tropical cropland using a regional visible and near-infrared spectral library and machine learning L. Dai et al. 10.1016/j.still.2024.106297
324. Data-driven strategies to improve nitrogen use efficiency of rice farming in South Asia S. Coggins et al. 10.1038/s41893-024-01496-3
325. Grain-cropping suitability for evaluating the agricultural land use change in Brazil J. Safanelli et al. 10.1016/j.apgeog.2023.102937
326. Patterns, Dynamics, and Drivers of Soil Available Nitrogen and Phosphorus in Alpine Grasslands across the QingZang Plateau Y. He et al. 10.3390/rs14194929
327. Zonation of a Viticultural Territorial Context in Piemonte (NW Italy) to Support Terroir Identification: The Role of Pedological, Topographical and Climatic Factors F. Ghilardi et al. 10.3390/land12030647
328. Bioclimatic Factors and Ecogeographical Patterns in the Distribution of the Rare Species Hedysarum grandiflorum Pall. L. Abramova et al. 10.1134/S1995425524010013
329. Radiocarbon analysis reveals underestimation of soil organic carbon persistence in new-generation soil models A. Brunmayr et al. 10.5194/gmd-17-5961-2024
330. Assessing the potential of multi-source remote sensing data for cropland soil organic matter mapping in hilly and mountainous areas L. Peng et al. 10.1016/j.catena.2024.108312
331. Data-driven similar response units for agricultural technology targeting: An example from Ethiopia L. Tamene et al. 10.1017/S0014479722000126
332. Estimation of potential distribution of sweet potato weevil (<i>Cylas formicarius</i>) and climate change impact using MaxEnt J. Hong et al. 10.11626/KJEB.2023.41.4.505
333. Simulating Runoff Formation in Mountain Crimea Rivers under Current and Projected Climate Conditions A. Kalugin et al. 10.1134/S0097807824701173
334. Impact of Ice-Storms and Subsequent Salvage Logging on the Productivity of Cunninghamia lanceolata (Chinese Fir) Forests Y. Zhu et al. 10.3390/f13020296
335. Using Sentinel-2 Images for Soil Organic Carbon Content Mapping in Croplands of Southwestern France. The Usefulness of Sentinel-1/2 Derived Moisture Maps and Mismatches between Sentinel Images and Sampling Dates D. Urbina-Salazar et al. 10.3390/rs13245115
336. Soil assessment in Denmark: Towards soil functional mapping and beyond L. Gomes et al. 10.3389/fsoil.2023.1090145
337. Geographic variation in phenotypic divergence between two hybridizing field cricket species A. Byerly et al. 10.3897/jor.32.90713
338. The Benefits of Using State‐Of‐The‐Art Digital Soil Properties Maps to Improve the Modeling of Soil Moisture in Land Surface Models C. Xu et al. 10.1029/2022WR032336
339. Distribution, Characterization and the Commercialization of Elite Rhizobia Strains in Africa C. Wekesa et al. 10.3390/ijms23126599
340. Modelling and Mapping Habitat Suitability for B. aegyptiaca (L.) Del. and B. rotundifolia (Tiegh.) Blatt. under Climate Change in Ethiopia M. Seid et al. 10.1155/2024/6656529
341. A modeling approach to determine substitutive tree species for sweet chestnut in stands affected by ink disease M. Heinz & S. Prospero 10.1007/s11676-024-01805-8
342. An Independent Validation of SoilGrids Accuracy for Soil Texture Components in Croatia D. Radočaj et al. 10.3390/land12051034
343. An imperative for soil spectroscopic modelling is to think global but fit local with transfer learning R. Viscarra Rossel et al. 10.1016/j.earscirev.2024.104797
344. Predictive modeling of soil profiles for precision agriculture: a case study in safflower cultivation environments M. Sharma et al. 10.1038/s41598-024-83551-9
345. Large-scale mapping of soil particle size distribution using legacy data and machine learning-based pedotransfer functions P. Kassai et al. 10.1016/j.geoderma.2025.117178
346. Global distribution and climate sensitivity of the tropical montane forest nitrogen cycle J. Gay et al. 10.1038/s41467-022-35170-z
347. Mapping global nitrogen deposition impacts on soil respiration C. Chen & H. Chen 10.1016/j.scitotenv.2023.161986
348. Integrating Systematic Surveys With Historical Data to Model the Distribution of Ornithodoros turicata americanus, a Vector of Epidemiological Concern in North America S. Botero‐Cañola et al. 10.1002/ece3.70547
349. Functional and ecological diversification of underground organs in Solanum E. Gagnon et al. 10.3389/fgene.2023.1231413
350. Soil Science-Informed Machine Learning B. Minasny et al. 10.1016/j.geoderma.2024.117094
351. Full-coverage 250 m monthly aerosol optical depth dataset (2000–2019) amended with environmental covariates by an ensemble machine learning model over arid and semi-arid areas, NW China X. Chen et al. 10.5194/essd-14-5233-2022
352. Field‐scale measurements of soil physico‐chemical profiles of the Potohar region in the Indus basin of Pakistan M. Malik & M. Ashraf 10.1002/ird.2857
353. Maps of active layer thickness in northern Alaska by upscaling P-band polarimetric synthetic aperture radar retrievals J. Whitcomb et al. 10.1088/1748-9326/ad127f
354. Spatial statistics and soil mapping: A blossoming partnership under pressure G. Heuvelink & R. Webster 10.1016/j.spasta.2022.100639
355. Three-dimensional space and time mapping reveals soil organic matter decreases across anthropogenic landscapes in the Netherlands A. Helfenstein et al. 10.1038/s43247-024-01293-y
356. Quantitation of Rainfall Retention Capacity for Small Reservoirs Considering Spatial Soil Moisture B. Tong et al. 10.3390/w16213114
357. Quantifying erosion rates and weathering pathways that maximize soil organic carbon storage J. Roering et al. 10.1007/s10533-023-01054-7
358. Climate change in open environments: Revisiting the current distribution to understand and safeguard the future of psammophilous squamates of the Diagonal of Open Formations of South America J. Oliveira et al. 10.1016/j.jaridenv.2023.105117
359. Integrating additional spectroscopically inferred soil data improves the accuracy of digital soil mapping S. Chen et al. 10.1016/j.geoderma.2023.116467
360. Digital soil mapping of available phosphorus using a smartphone-integrated RGB imaging device and ascorbic acid extraction method V. Lavanya et al. 10.1016/j.atech.2024.100591
361. Agricultural input shocks affect crop yields more in the high-yielding areas of the world A. Ahvo et al. 10.1038/s43016-023-00873-z
362. Impacts of the Desiccation of the Aral Sea on the Central Asian Dust Life‐Cycle J. Banks et al. 10.1029/2022JD036618
363. Structural and species diversity explain aboveground carbon storage in forests across the United States: Evidence from GEDI and forest inventory data E. Crockett et al. 10.1016/j.rse.2023.113703
364. A Spatial Sample Selection Model* Y. Bao et al. 10.1111/obes.12599
365. Map of Potential Sequestration of Carbon by Arable Soils in Rostov Oblast Updated Using Rosstat Data V. Dobrovolskaya et al. 10.3103/S0147687424700625
366. Cropland Suitability Assessment Using Satellite-Based Biophysical Vegetation Properties and Machine Learning D. Radočaj et al. 10.3390/agronomy11081620
367. A cross-resolution transfer learning approach for soil moisture retrieval from Sentinel-1 using limited training samples L. Zhu et al. 10.1016/j.rse.2023.113944
368. Suitability of anthrax (Bacillus anthracis) in the Black Sea basin through the scope of distribution modelling M. Arede et al. 10.1371/journal.pone.0303413
369. Evaluation of global and continental scale soil maps for southern Africa using selected soil properties D. Bodenstein et al. 10.1016/j.catena.2022.106381
370. Data‐centric species distribution modeling: Impacts of modeler decisions in a case study of invasive European frog‐bit S. Hansen et al. 10.1002/aps3.11573
371. Clay and soil organic matter drive wood multi-elemental composition of a tropical tree species: Implications for timber tracing L. Boeschoten et al. 10.1016/j.scitotenv.2022.157877
372. An assessment of anticipated future changes in water erosion dynamics under climate and land use change scenarios in South Asia S. Das et al. 10.1016/j.jhydrol.2024.131341
373. Critical slowing down of the Amazon forest after increased drought occurrence J. Van Passel et al. 10.1073/pnas.2316924121
374. Multiscale evaluations of global, national and regional digital soil mapping products in France B. Lemercier et al. 10.1016/j.geoderma.2022.116052
375. A sensitivity analysis of a FAO-56 dual crop coefficient-based model under various field conditions P. Laluet et al. 10.1016/j.envsoft.2022.105608
376. Genetic diversity of the largest African mole-rat genus, Bathyergus. One, two or four species? R. Šumbera et al. 10.1016/j.ympev.2024.108157
377. Modeling habitat suitability of Quercus castaneifolia in the Hyrcanian forest: a comprehensive integration of environmental factors for conservation insights H. Asadi et al. 10.1007/s10531-024-02973-z
378. Warming and disturbances affect Arctic-boreal vegetation resilience across northwestern North America Y. Zhang et al. 10.1038/s41559-024-02551-0
379. Ensemble modeling for American chestnut distribution: Locating potential restoration sites in Pennsylvania A. Henderson et al. 10.3389/fevo.2022.942766
380. Revealing the influence of climatic variables on the distribution of legume dispersal traits in the Chaco G. Andrella et al. 10.1590/1677-941x-abb-2023-0118
381. Species distribution models affected by positional uncertainty in species occurrences can still be ecologically interpretable L. Gábor et al. 10.1111/ecog.06358
382. Unpredictable soil conditions can affect the prevalence of a microbial symbiosis T. Scott et al. 10.7717/peerj.17445
383. Like mother like son: Transgenerational memory and cross‐tolerance from drought to heat stress are identified in chloroplast proteome and seed provisioning in Pinus radiata L. Lamelas et al. 10.1111/pce.14836
384. Global patterns and influencing factors of Mn accumulation in litter at different decomposition stages—A synthesis Y. Zhang et al. 10.1016/j.geoderma.2024.117048
385. Estimation of carbon stocks in the areas of a seasonally dry tropical forest in the Brazilian semi-arid region M. Santos et al. 10.1016/j.jaridenv.2024.105271
386. Future scenarios of land use change in the Gran Chaco: how far is zero-deforestation? M. Mosciaro et al. 10.1007/s10113-022-01965-5
387. High-resolution soil organic carbon mapping at the field scale in Southern Belgium (Wallonia) Y. Zhou et al. 10.1016/j.geoderma.2022.115929
388. Unravelling the impact of soil data quality on species distribution models of temperate forest woody plants F. Rota et al. 10.1016/j.scitotenv.2024.173719
389. Digital mapping of GlobalSoilMap soil properties at a broad scale: A review S. Chen et al. 10.1016/j.geoderma.2021.115567
390. Mycorrhizal association and life form dominantly control plant litter lignocellulose concentration at the global scale Y. Peng et al. 10.3389/fpls.2022.926941
391. Carbon dynamics of Western North American boreal forests in response to stand-replacing disturbances L. Yu et al. 10.1016/j.jag.2023.103410
392. A multi-data approach to evaluate progress towards land degradation neutrality in Central Asia E. Khazieva et al. 10.1016/j.ecolind.2023.110529
393. Applications and challenges of digital soil mapping in Africa A. Nenkam et al. 10.1016/j.geoderma.2024.117007
394. Carbon-negative transition by utilizing overlooked carbon in waste landfills S. Ma et al. 10.59717/j.xinn-geo.2024.100109
395. Integrating niche and occupancy models to infer the distribution of an endemic fossorial snake (Atractus lasallei) C. Cruz-Arroyave et al. 10.1371/journal.pone.0308931
396. Addressing soil data needs and data gaps in catchment-scale environmental modelling: the European perspective B. Szabó et al. 10.5194/soil-10-587-2024
397. Extent, impacts and drivers of oystershell scale invasions in aspen ecosystems C. Crouch et al. 10.3897/neobiota.95.121748
398. Quantitative Representativeness and Constituency of the Long-Term Agroecosystem Research Network and Analysis of Complementarity with Existing Ecological Networks J. Kumar et al. 10.1007/s00267-023-01834-9
399. A dataset of lake-catchment characteristics for the Tibetan Plateau J. Liu et al. 10.5194/essd-14-3791-2022
400. Predicting conditional maximum contaminant level exceedance probabilities for drinking water after wildfires with Bayesian regularized network ensembles A. Schmidt et al. 10.1016/j.mlwa.2021.100227
401. A high-resolution map of soil organic carbon in cropland of Southern China B. Hu et al. 10.1016/j.catena.2024.107813
402. Soil carbon sequestration potential in global croplands J. Padarian et al. 10.7717/peerj.13740
403. Potential model of Scalesia pedunculata carbon sequestration through restoration efforts in agricultural fields of Galapagos N. Velasco et al. 10.1371/journal.pone.0302680
404. Assessing the risk of subsoil compaction in croplands using the soil compaction stratification ratio as an indicator W. Zhang et al. 10.1002/ldr.5230
405. Guatemala soil organic carbon database (GTMSOC) A. Vásquez et al. 10.1111/ejss.13450
406. Scale-Related Variations in Soil Loss and Validation of the RUSLE Model in Anambra State, Nigeria C. Ezeh et al. 10.1134/S1064229324600015
407. An improved estimate of soil carbon pool and carbon fluxes in the Qinghai-Tibetan grasslands using data assimilation with an ecosystem biogeochemical model R. Zhao et al. 10.1016/j.geoderma.2022.116283
408. The pan-Arctic catchment database (ARCADE) N. Speetjens et al. 10.5194/essd-15-541-2023
409. Shrub richness is primarily driven by climate conditions in Southwestern European woodlands D. Moreno-Fernández et al. 10.1007/s13595-021-01117-5
410. Unprecedented distribution data for Joshua trees (Yucca brevifolia and Y. jaegeriana) reveal contemporary climate associations of a Mojave Desert icon T. Esque et al. 10.3389/fevo.2023.1266892
411. Comparing direct and indirect approaches to predicting soil texture class D. Saurette 10.1139/cjss-2022-0040
412. A novel framework for improving soil organic matter prediction accuracy in cropland by integrating soil, vegetation and human activity information J. Wang et al. 10.1016/j.scitotenv.2023.166112
413. Susceptibility Modeling and Potential Risk Analysis of Thermokarst Hazard in Qinghai–Tibet Plateau Permafrost Landscapes Using a New Interpretable Ensemble Learning Method Y. Yang et al. 10.3390/atmos15070788
414. Random forests with spatial proxies for environmental modelling: opportunities and pitfalls C. Milà et al. 10.5194/gmd-17-6007-2024
415. Using Automated Machine Learning for Spatial Prediction—The Heshan Soil Subgroups Case Study P. Liang et al. 10.3390/land13040551
416. Land Surface Modeling in the Himalayas: On the Importance of Evaporative Fluxes for the Water Balance of a High‐Elevation Catchment P. Buri et al. 10.1029/2022WR033841
417. Cosmic-Ray neutron Sensor PYthon tool (crspy 1.2.1): an open-source tool for the processing of cosmic-ray neutron and soil moisture data D. Power et al. 10.5194/gmd-14-7287-2021
418. The unseen world beneath our feet: Heliyon soil science. Exploring the cutting-edge techniques and ambitious goals of modern soil science C. Poschenrieder & R. Scalenghe 10.1016/j.heliyon.2023.e18778
419. Spectra-based predictive mapping of soil organic carbon in croplands: Single-date versus multitemporal bare soil compositing approaches Y. Zhu et al. 10.1016/j.geoderma.2024.116987
420. Global patterns and drivers of initial plant litter ash concentration Q. Yang et al. 10.1016/j.scitotenv.2022.154702
421. Factors that shape large‐scale gradients in clonality H. Zhang et al. 10.1111/jbi.14577
422. Global 1 km land surface parameters for kilometer-scale Earth system modeling L. Li et al. 10.5194/essd-16-2007-2024
423. Modelling Climatically Suitable Areas for Mahogany (Swietenia macrophylla King) and Their Shifts across Neotropics: The Role of Protected Areas R. Herrera-Feijoo et al. 10.3390/f14020385
424. Uncertainties in measuring precipitation hinders precise evaluation of loss of diversity in biomes and ecotones A. Navarro et al. 10.1038/s41612-024-00581-w
425. Eastward shift in Juniperus virginiana distribution range under future climate conditions in the Southern Great Plains, United States J. Yang et al. 10.1016/j.agrformet.2023.109836
426. Climate change may alter the availability of wild food plants in the Brazilian semiarid A. da Silva et al. 10.1007/s10113-024-02250-3
427. Assessing land suitability for rainfed paddy rice production in Zambia M. Makungwe et al. 10.1016/j.geodrs.2021.e00438
428. RECCAP2 Future Component: Consistency and Potential for Regional Assessment to Constrain Global Projections C. Jones et al. 10.1029/2023AV001024
429. Unequal impacts of urban industrial land expansion on economic growth and carbon dioxide emissions C. Yoo et al. 10.1038/s43247-024-01375-x
430. Transboundary Impacts of NO2 on Soil Nitrogen Fixation and Their Effects on Crop Yields in China J. Xie et al. 10.3390/agriculture15020208
431. Effect of sulfur- and zinc-containing fertilizers on soybean yield and analysis of spatial and seasonal yield variability in Ghana, West Africa A. Kouame et al. 10.1016/j.eja.2024.127461
432. Soil data recency: The foundation for harmonizing soil data across time T. Gobezie et al. 10.1016/j.jenvman.2024.121484
433. Multivariate random forest for digital soil mapping S. van der Westhuizen et al. 10.1016/j.geoderma.2023.116365
434. Multi-Disaster Hazard Analysis, The Case of Elazığ Province F. Canpolat 10.21324/dacd.1400245
435. The Potential Use of Global Evapotranspiration Products and Models to Estimate Lake Residence Time at Large Scale K. Ding et al. 10.1029/2022WR033148
436. Spatial distributions, driving factors, and threshold effects of soil organic carbon stocks in the Tibetan Plateau Z. Sun et al. 10.1016/j.still.2025.106457
437. Enhanced dendroprovenancing through high-resolution soil- and climate data M. van Sluijs et al. 10.1016/j.dendro.2024.126180
438. Modeling actual water use under different irrigation regimes at district scale: Application to the FAO-56 dual crop coefficient method L. Olivera-Guerra et al. 10.1016/j.agwat.2022.108119
439. Current and future cropland suitability for cereal production across the rainfed agricultural landscapes of Ethiopia M. Wakjira et al. 10.1016/j.agrformet.2024.110262
440. Quantitative Analysis of Factors Influencing Damage to Old-Growth Hemiboreal Stands as a Result of a Catastrophic Windthrow, Based on Remote Sensing and Merged Data N. Ivanova et al. 10.1134/S1067413624602008
441. A detailed mapping of soil organic matter content in arable land based on the multitemporal soil line coefficients and neural network filtering of big remote sensing data D. Rukhovich et al. 10.1016/j.geoderma.2024.116941
442. Soil Reflectance Composite for Digital Soil Mapping in a Mediterranean Cropland District M. Zanini et al. 10.3390/rs17010089
443. Dealing with clustered samples for assessing map accuracy by cross-validation S. de Bruin et al. 10.1016/j.ecoinf.2022.101665
444. Validation of uncertainty predictions in digital soil mapping J. Schmidinger & G. Heuvelink 10.1016/j.geoderma.2023.116585
445. A geospatial analysis of local intermediate snail host distributions provides insight into schistosomiasis risk within under-sampled areas of southern Lake Malawi A. Reed et al. 10.1186/s13071-024-06353-y
446. Predicting the effect of climate change on the spatiotemporal distribution of two endangered plant species, Silene leucophylla Boiss. and Silene schimperiana Boiss., using machine learning, in Saint Catherine Protected Area, Egypt A. Refaat et al. 10.1186/s43088-024-00553-2
447. Divergent spatio-temporal tree growth trends in Pinus pinaster Ait. in South-Western European forests D. Moreno-Fernández et al. 10.1016/j.scitotenv.2024.173465
448. Forecasting seasonal plot-specific crop coefficient (Kc) protocol for processing tomato using remote sensing, meteorology, and artificial intelligence R. Pelta et al. 10.1007/s11119-022-09910-6
449. Assessment of soil organic carbon stocks in Alberta using 2-scale sampling and 3D predictive soil mapping T. Hengl et al. 10.1139/facets-2023-0040
450. Integration of community ecology and habitat suitability modelling for restoration and conservation of two endemic tree species from the Western Ghats, India K. Babu et al. 10.1007/s00468-024-02493-x
451. Enhancing ecosystem productivity and stability with increasing canopy structural complexity in global forests X. Liu et al. 10.1126/sciadv.adl1947
452. CAMELS-DE: hydro-meteorological time series and attributes for 1582 catchments in Germany R. Loritz et al. 10.5194/essd-16-5625-2024
453. Soil Organic Carbon Sequestration Potential Maps in the Russian Cropland V. Romanenkov et al. 10.31857/S0032180X24050037
454. Mapping peat thickness and carbon stock of a degraded peatland in West Sumatra, Indonesia D. Fiantis et al. 10.1111/sum.12954
455. Predicting wheat yield gap and its determinants combining remote sensing, machine learning, and survey approaches in rainfed Mediterranean regions of Morocco K. Devkota et al. 10.1016/j.eja.2024.127195
456. Mapping soil organic carbon stocks in Tunisian topsoils H. Bahri et al. 10.1016/j.geodrs.2022.e00561
457. Adoption of plant-based diets across Europe can improve food resilience against the Russia–Ukraine conflict Z. Sun et al. 10.1038/s43016-022-00634-4
458. Sample Size Optimization for Digital Soil Mapping: An Empirical Example D. Saurette et al. 10.3390/land13030365
459. Opportunities to Narrow Potato Yield Gaps and Increase Resource Use Efficiency in West Java, Indonesia A. Pronk et al. 10.1007/s11540-024-09778-1
460. Forestry climate adaptation with HarvesterSeasons service—a gradient boosting model to forecast soil water index SWI from a comprehensive set of predictors in Destination Earth M. Strahlendorff et al. 10.3389/frsen.2024.1360572
461. Distribution-agnostic landslide hazard modelling via Graph Transformers G. Belvederesi et al. 10.1016/j.envsoft.2024.106231
462. A CNN-LSTM Model for Soil Organic Carbon Content Prediction with Long Time Series of MODIS-Based Phenological Variables L. Zhang et al. 10.3390/rs14184441
463. A bottom-up agricultural emissions inventory and its analysis via CMAQ and IASI-NH3 E. Akyuz et al. 10.1016/j.scitotenv.2024.175355
464. Mapping the irrecoverable carbon in Earth’s ecosystems M. Noon et al. 10.1038/s41893-021-00803-6
465. Reference soil groups map of Ethiopia based on legacy data and machine learning-technique: EthioSoilGrids 1.0 A. Ali et al. 10.5194/soil-10-189-2024
466. Identifying causes of crop yield variability with interpretive machine learning E. Jones et al. 10.1016/j.compag.2021.106632
467. Digital soil mapping and crop modeling to define the spatially-explicit influence of soils on water-limited sugarcane yield N. dos Santos et al. 10.1007/s11104-024-06587-w
468. Disentangling the response of species diversity, forest structure, and environmental drivers to aboveground biomass in the tropical forests of Western Ghats, India A. Dar et al. 10.1016/j.scitotenv.2024.177684
469. Using homosoils for quantitative extrapolation of soil mapping models A. Nenkam et al. 10.1111/ejss.13285
470. From single trees to country-wide maps: Modeling mortality rates in Germany based on the Crown Condition Survey N. Knapp et al. 10.1016/j.foreco.2024.122081
471. The relationships between biotic uniqueness and abiotic uniqueness are context dependent across drainage basins worldwide H. Snåre et al. 10.1007/s10980-024-01883-3
472. The pace of life for forest trees L. Bialic-Murphy et al. 10.1126/science.adk9616
473. Assessing Soil Biodiversity Potentials in China: A Multi-Attribute Decision Approach Q. Yang et al. 10.3390/agronomy13112822
474. Ecological Indicator Values for Europe (EIVE) 1.0 J. Dengler et al. 10.3897/VCS.98324
475. Species distribution modelling of the yellow-necked mouse, Sylvaemus tauricus, with special reference to Ukraine V. Tytar et al. 10.53452/TU2613
476. Global patterns and edaphic-climatic controls of soil carbon decomposition kinetics predicted from incubation experiments D. Xiang et al. 10.1038/s41467-023-37900-3
477. Comprehensive spatial mapping of metals and metalloids in the Peruvian Mantaro Valley using advanced geospatial data Integration S. Pizarro et al. 10.1016/j.geoderma.2024.117138
478. The effect of covariates on Soil Organic Matter and pH variability: a digital soil mapping approach using random forest model Y. Bouslihim et al. 10.1080/19475683.2024.2309868
479. Critical soil moisture thresholds of plant water stress in terrestrial ecosystems Z. Fu et al. 10.1126/sciadv.abq7827
480. Does dynamically modeled leaf area improve predictions of land surface water and carbon fluxes? Insights into dynamic vegetation modules S. Westermann et al. 10.5194/bg-21-5277-2024
481. Geospatial Analysis of Alaskan Lakes Indicates Wetland Fraction and Surface Water Area Are Useful Predictors of Methane Ebullition M. Savignano et al. 10.1080/24694452.2023.2277817
482. Climate envelope modeling for ocelot conservation planning: peering inside the black box S. Lehnen & J. Lombardi 10.1002/ecs2.4477
483. Global Atlas of Methane Metabolism Marker Genes in Soil Y. Ou et al. 10.1021/acs.est.4c02827
484. Mapping Soil Properties in the Haihun River Sub-Watershed, Yangtze River Basin, China, by Integrating Machine Learning and Variable Selection J. Huang et al. 10.3390/s24123784
485. Opportunities for Adaptation to Climate Change of Extensively Grazed Pastures in the Central Apennines (Italy) E. Bellini et al. 10.3390/land12020351
486. Optimization Study of Soil Organic Matter Mapping Model in Complex Terrain Areas: A Case Study of Mingguang City, China S. Mei et al. 10.3390/su16104312
487. Soil and Climate Characterization to Define Environments for Summer Crops in Senegal C. Hernández et al. 10.3390/su132111739
488. Achieving conservation targets by jointly addressing climate change and biodiversity loss J. Suraci et al. 10.1002/ecs2.4490
489. Soil Classification Mapping Using a Combination of Semi-Supervised Classification and Stacking Learning (SSC-SL) F. Zhu et al. 10.3390/rs16020405
490. Quantitative analysis of factors influencing damage to old-growth hemiboreal stands as a result of a catastrophic windthrow, based on remote sensing and merged data N. Ivanova et al. 10.31857/S0367059724040043
491. Österreichweite Regionalisierung bodenhydraulischer Eigenschaften H. Zeitfogel et al. 10.1007/s00506-022-00842-z
492. A review on digital mapping of soil carbon in cropland: progress, challenge, and prospect H. Huang et al. 10.1088/1748-9326/aca41e
493. Nitrogen, phosphorus, and potassium co‐limitation in terrestrial ecosystems: A global meta‐analysis J. Fang et al. 10.1002/ppp3.10524
494. Predicting streamflow with LSTM networks using global datasets K. Wilbrand et al. 10.3389/frwa.2023.1166124
495. Phytodiversity is associated with habitat heterogeneity from Eurasia to the Hengduan Mountains Y. Chang et al. 10.1111/nph.19206
496. Climate-adaptative management strategies for soybean production under ENSO scenarios in Southern Brazil: An in-silico analysis of crop failure risk G. Hintz et al. 10.1016/j.agsy.2024.104153
497. Attribution of changes in the water balance of a basin to land-use changes through combined modelling of basin hydrology and land-use dynamics M. Gunacti et al. 10.2166/wcc.2022.304
498. Machine learning enhances prediction of plants as potential sources of antimalarials A. Richard-Bollans et al. 10.3389/fpls.2023.1173328
499. The role of rivers in the origin and future of Amazonian biodiversity C. Ribas et al. 10.1038/s44358-024-00001-0
500. Fractional Richness: An index for camera trap networks L. Berman et al. 10.1016/j.ecolind.2024.112266
501. Identifying the multiple drivers of cactus diversification J. Thompson et al. 10.1038/s41467-024-51666-2
502. The impact of sampling scale: A comparison of methods for estimating external contaminant exposure in free-ranging wildlife H. Bontrager et al. 10.1016/j.scitotenv.2024.171012
503. Combining production ecology principles with random forest to model potato yield in China Q. Huang et al. 10.1016/j.fcr.2024.109619
504. In situ observations of soil hydraulic properties and soil moisture in a high, cold mountainous area of the northeastern Qinghai-Tibet Plateau J. Tian et al. 10.1007/s11430-022-1120-5
505. Upscaling field-measured seasonal ground vegetation patterns with Sentinel-2 images in boreal ecosystems Y. Pang et al. 10.1080/01431161.2023.2234093
506. Evaluation of pedotransfer functions for predicting soil hydraulic properties: A voyage from regional to field scales across Europe P. Nasta et al. 10.1016/j.ejrh.2021.100903
507. Application of deep convolutional networks for improved risk assessments of post-wildfire drinking water contamination A. Schmidt et al. 10.1016/j.mlwa.2023.100454
508. The overlooked underground diversity: physical and chemical edaphic structure predict morphological variation in South American amphisbaenians (Squamata: Amphisbaenidae) R. de Fraga et al. 10.1080/01650521.2022.2147046
509. Assessing impact of salinity and climate scenarios on dry season field crops in the coastal region of Bangladesh A. Carcedo et al. 10.1016/j.agsy.2022.103428
510. Accessing and modelling soil organic carbon stocks in Prairies, Savannas, and forests D. Ruiz Potma Gonçalves et al. 10.1016/j.catena.2024.108219
511. Biocrusts modulate carbon losses under warming across global drylands: A bayesian meta-analysis J. Sun et al. 10.1016/j.soilbio.2023.109214
512. Adaptive fusion of multi-modal remote sensing data for optimal sub-field crop yield prediction F. Mena et al. 10.1016/j.rse.2024.114547
513. Combining machine learning and environmental covariates for mapping of organic carbon in soils of Russia A. Chinilin & I. Savin 10.1016/j.ejrs.2023.07.007
514. AutoXAI4Omics: an automated explainable AI tool for omics and tabular data J. Strudwick et al. 10.1093/bib/bbae593
515. Space-time dynamics of soil moisture and groundwater in an agriculture-dominated critical zone observatory (CZO) in the Ganga basin, India S. Dash & R. Sinha 10.1016/j.scitotenv.2022.158231
516. Comparative assessment of SoilGrids system with regional soil data for advancing ecosystem reporting in Bulgaria L. Stoeva & M. Zhiyanski 10.3897/oneeco.9.e133091
517. Windthrow characteristics and their regional association with rainfall, soil, and surface elevation in the Amazon R. Negron-Juarez et al. 10.1088/1748-9326/acaf10
518. Ein Simulationsmodell zur Erfassung von Abflussrisiken in der Landwirtschaft S. Wendland et al. 10.1007/s00287-023-01522-2
519. Depth extrapolation of field-scale soil moisture time series derived with cosmic-ray neutron sensing (CRNS) using the soil moisture analytical relationship (SMAR) model D. Rasche et al. 10.5194/soil-10-655-2024
520. Evaluating the extrapolation potential of random forest digital soil mapping F. Hateffard et al. 10.1016/j.geoderma.2023.116740
521. Global soil profiles indicate depth-dependent soil carbon losses under a warmer climate M. Wang et al. 10.1038/s41467-022-33278-w
522. Integrated crop and livestock systems increase both climate change adaptation and mitigation capacities M. Delandmeter et al. 10.1016/j.scitotenv.2023.169061
523. Mapping soil drainage classes: Comparing expert knowledge and machine learning strategies D. Mello et al. 10.1016/j.soilad.2024.100028
524. Spatially explicit modeling of the probability of land abandonment in the Spanish Pyrenees P. Gelabert et al. 10.1016/j.landurbplan.2022.104487
525. Improvement in Dust Storm Simulation by Considering Stone Coverage Effects for Stony Deserts in East Asia T. Sekiyama et al. 10.1029/2022JD037295
526. Major overlap in plant and soil organic carbon hotspots across Africa N. Kebonye et al. 10.1016/j.scitotenv.2024.175476
527. Adding soil sampling to household surveys: Information for sample design from pilot data R. Lark et al. 10.1016/j.geoderma.2024.117148
528. Digital mapping of the global soil δ15N at 0.1° × 0.1° resolution using random forest regression with climate classification Q. Zan et al. 10.1016/j.ecolind.2023.110974
529. Mapping Topsoil Behavior to Compaction at National Scale from an Analysis of Field Observations A. Richer-de-Forges et al. 10.3390/land13071014
530. Baseline high-resolution maps of organic carbon content in Australian soils A. Wadoux et al. 10.1038/s41597-023-02056-8
531. Patterns ofGrewia(Malvaceae) diversity across geographical scales in Africa and Madagascar N. Karimi & M. Hanes 10.1093/aob/mcae009
532. Mapping Soil Depth in Sri Lanka Using Statistical and Machine Learning Models E. Jahanshiri et al. 10.2139/ssrn.4016391
533. Grasshoppers exhibit asynchrony and spatial non-stationarity in response to the El Niño/Southern and Pacific Decadal Oscillations J. Humphreys et al. 10.1016/j.ecolmodel.2022.110043
534. A Comparative Analysis of Remote Sensing Soil Moisture Datasets Fusion Methods: Novel LSTM Approach Versus Widely Used Triple Collocation Technique H. Zhao et al. 10.1109/JSTARS.2024.3455549
535. Prediction of future potential distributions of Pinus yunnanensis varieties under climate change J. Feng et al. 10.3389/ffgc.2023.1308416
536. Environmental Filters Structure Cushion Bogs’ Floristic Composition along the Southern South American Latitudinal Gradient F. Figueroa-Ponce & L. Hinojosa 10.3390/plants13162202
537. Imprints of land use history and disturbance regime in phylogenetic diversity of Mediterranean plant communities A. Mastrogianni et al. 10.1002/ecs2.4972
538. Scale variance in the carbon dynamics of fragmented, mixed-use landscapes estimated using model–data fusion D. Milodowski et al. 10.5194/bg-20-3301-2023
539. Predictive modeling of Cedrus atlantica natural regeneration: grazing intensity and bioclimatic extremes as the primary drivers in the Ain Leuh Forest, Middle Atlas of Morocco Y. Boussalim & Y. Dallahi 10.1007/s40808-024-02191-0
540. Deciphering Pteronia's evolution in the Cape Floristic Region: A comprehensive study disputes polyploid deficiency and affirms diploid radiation Z. Chumová et al. 10.1111/tpj.16914
541. Hydrological model skills change with drought severity; insights from multi-variable evaluation G. Bruno et al. 10.1016/j.jhydrol.2024.131023
542. Soil Reflectance Composites—Improved Thresholding and Performance Evaluation U. Heiden et al. 10.3390/rs14184526
543. Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale H. Vazirani et al. 10.3390/s24227317
544. Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data M. Celik et al. 10.1109/LGRS.2023.3303643
545. Guiding the data collection for integrated Water-Energy-Food-Environment systems using a pilot smallholder farm in Costa Rica J. Fleischmann et al. 10.1016/j.nexus.2023.100259
546. Shapley values reveal the drivers of soil organic carbon stock prediction A. Wadoux et al. 10.5194/soil-9-21-2023
547. Unveiling the main drivers of tree decline in Zagros semi-arid forests E. Shafeian et al. 10.1093/forestry/cpae048
548. Interrogating Genomes and Geography to Unravel Multiyear Vesicular Stomatitis Epizootics J. Humphreys et al. 10.3390/v16071118
549. Classification of alpine grasslands in the western Tian Shan Mountains (Kyrgyzstan, Middle Asia) G. Swacha et al. 10.5586/asbp/169036
550. A soil matrix capacity index to predict mineral-associated but not particulate organic carbon across a range of climate and soil pH A. King et al. 10.1007/s10533-023-01066-3
551. Evaluating small‐scale harvesting disturbance to the forest soil in Mediterranean beech high forests F. Latterini et al. 10.1002/ldr.5228
552. Important role of Fe oxides in global soil carbon stabilization and stocks N. Jia et al. 10.1038/s41467-024-54832-8
553. Global Gridded Crop Production Dataset at 10 km Resolution from 2010 to 2020 X. Qin et al. 10.1038/s41597-024-04248-2
554. Comprehensive quality assessment of satellite- and model-based soil moisture products against the COSMOS network in Germany T. Schmidt et al. 10.1016/j.rse.2023.113930
555. Enhancing environmental models with a new downscaling method for global radiation in complex terrain A. Druel et al. 10.5194/bg-22-1-2025
556. A genome‐wide genetic association study reveals SNPs significantly associated with environmental variables and specific leaf area in European beech M. Müller et al. 10.1111/ppl.14334
557. An audacious approach to conservation R. Ewers 10.1016/j.tree.2024.07.003
558. Modelling habitat suitability for Moringa oleifera and Moringa stenopetala under current and future climate change scenarios J. Bania et al. 10.1038/s41598-023-47535-5
559. Multiresource Pastoralism, Dynamic Foodways, and Ancient Statecraft in Mongolia W. Honeychurch et al. 10.3390/land12091715
560. Large Soil Carbon Storage in Terrestrial Ecosystems of Canada C. Sothe et al. 10.1029/2021GB007213
561. Assessing the scientific value and vulnerability of paleontological sites: a new analytic operational procedure A. Faggi et al. 10.3389/feart.2023.1163280
562. Evolution of the Convective Boundary Layer in a WRF Simulation Nested Down to 100 m Resolution During a Cloud‐Free Case of LAFE, 2017 and Comparison to Observations H. Bauer et al. 10.1029/2022JD037212
563. Land degradation vulnerability mapping in a west coast river basin of India using analytical hierarchy process combined machine learning models B. Das et al. 10.1007/s11356-023-28276-4
564. Quantifying elemental diversity to study landscape ecosystem function A. McLeod et al. 10.1016/j.tree.2024.09.007
565. Matrix representation of lateral soil movements: scaling and calibrating CE-DYNAM (v2) at a continental level A. Fendrich et al. 10.5194/gmd-15-7835-2022
566. Event-based soil erosion and sediment yield modelling for calculating long-term reservoir sedimentation in the Alps K. Kaffas et al. 10.1080/02626667.2024.2311756
567. How Can Pedology and Soil Classification Contribute Towards Sustainable Development as a Data Source and Information Carrier? J. Bouma et al. 10.2139/ssrn.4045883
568. CLSoilMaps: A national soil gridded database of physical and hydraulic soil properties for Chile D. Dinamarca et al. 10.1038/s41597-023-02536-x
569. Biodiversity buffers the response of spring leaf unfolding to climate warming P. Shen et al. 10.1038/s41558-024-02035-w
570. A Comprehensive Evaluation of Machine Learning Algorithms for Digital Soil Organic Carbon Mapping on a National Scale D. Radočaj et al. 10.3390/app14219990
571. Assessing the use of digital soil maps in hydrological modeling for soil-water budget simulations - implications for water management plans in southern Portugal A. Horta et al. 10.1016/j.geodrs.2023.e00741
572. Ecological niche modeling of the main forest-forming species in the Caucasus R. Pshegusov et al. 10.1016/j.fecs.2022.100019
573. A Novel Self-Supervised Learning Method for Accurate Multigranularity Prediction of Soil Organic Carbon Z. Yu et al. 10.1109/TGRS.2024.3511118
574. More inputs of antibiotics into groundwater but less into rivers as a result of manure management in China Q. Zhang et al. 10.1016/j.ese.2024.100513
575. Predicting the Distribution of Arsenic in Groundwater by a Geospatial Machine Learning Technique in the Two Most Affected Districts of Assam, India: The Public Health Implications B. Nath et al. 10.1029/2021GH000585
576. Historic and Contemporary Surface Disposal of Produced Water Likely Inputs Arsenic and Selenium to Surficial Aquifers R. Rossi et al. 10.1021/acs.est.3c01219
577. Towards a cost-effective framework for estimating soil nitrogen pools using pedotransfer functions and machine learning L. Laurence et al. 10.1016/j.geoderma.2023.116692
578. Vorhersage von hydrologischen Abflusskennwerten in unbeobachteten Einzugsgebieten mit Machine Learning C. Klingler et al. 10.1007/s00506-022-00891-4
579. To what extent does river routing matter in hydrological modeling? N. Cortés-Salazar et al. 10.5194/hess-27-3505-2023
580. Geospatial Data and Deep Learning Expose ESG Risks to Critical Raw Materials Supply: The Case of Lithium C. Lawley et al. 10.3389/esss.2024.10109
581. Impacts of Sub‐Grid Topographic Representations on Surface Energy Balance and Boundary Conditions in the E3SM Land Model: A Case Study in Sierra Nevada D. Hao et al. 10.1029/2021MS002862
582. Soil classification as a tool for contributing to sustainability at the landscape scale and forecasting impacts of management practices in agriculture and forestry C. Monger et al. 10.1016/j.still.2024.106216
583. Application potential and spatiotemporal uncertainty assessment of multi-layer soil moisture estimation in different climate zones using multi-source data J. Qian et al. 10.1016/j.jhydrol.2024.132229
584. Estimating the distribution of Oryzomys palustris, a potential key host in expanding rickettsial tick‐borne disease risk C. Lippi et al. 10.1002/ecs2.4445
585. Principles responsible for the inconsistent controlling factors of surface soil water content spatial variation across regions and scales X. Lai et al. 10.1007/s11368-023-03427-9
586. The distribution and drivers of tree cover in savannas and forests across India T. Gopalakrishna et al. 10.1038/s43247-024-01568-4
587. Environmental spaces for palsas and peat plateaus are disappearing at a circumpolar scale O. Leppiniemi et al. 10.5194/tc-17-3157-2023
588. Deep Learning with a Multi-Task Convolutional Neural Network to Generate a National-Scale 3D Soil Data Product: The Particle Size Distribution of the German Agricultural Soil Landscape M. Ließ & A. Sakhaee 10.3390/agriculture14081230
589. Controls over Fire Characteristics in Siberian Larch Forests E. Webb et al. 10.1007/s10021-024-00927-8
590. Satellite-enabled enviromics to enhance crop improvement R. Resende et al. 10.1016/j.molp.2024.04.005
591. Combining Digital Covariates and Machine Learning Models to Predict the Spatial Variation of Soil Cation Exchange Capacity F. Kaya et al. 10.3390/land12040819
592. A regional modelling perspective on the impacts on Central Asia of dust emitted from the Aralkum, the desiccated lakebed of the Aral Sea J. Banks et al. 10.1051/e3sconf/202457504002
593. Soil moisture at 30 m from multiple satellite datasets fused by random forest J. Ning et al. 10.1016/j.jhydrol.2023.130010
594. Analysis of Climate Change Impacts on Agricultural Water Availability in Cimanuk Watershed, Indonesia N. Heryani et al. 10.3390/su142316236
595. Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems L. Liu et al. 10.1038/s41467-023-43860-5
596. An Open Soil Health Assessment Framework Facilitating Sustainable Soil Management G. Ros et al. 10.1021/acs.est.2c04516
597. A novel method for optimizing regional-scale management zones based on a sustainable environmental index Y. Li et al. 10.1007/s11119-023-10067-z
598. Mapping potentially groundwater-dependent vegetation in the Mediterranean biome using global geodata targeting site conditions and vegetation characteristics L. El-Hokayem et al. 10.1016/j.scitotenv.2023.166397
599. Atmospheric CO2, soil carbon stock and control variables in managed and degraded pastures in central Brazil M. Odorizzi de Campos et al. 10.1016/j.rsase.2022.100848
600. Analysis of the Potential Range of Mountain Pine-Broadleaf Ecotone Forests and Its Changes under Moderate and Strong Climate Change in the 21st Century N. Fedorov et al. 10.3390/plants12213698
601. Modeling carbon burial along the land to ocean aquatic continuum: Current status, challenges and perspectives D. Henry et al. 10.1016/j.earscirev.2024.104791
602. Ensemble modelling-based pedotransfer functions for predicting soil bulk density in China Z. Chen et al. 10.1016/j.geoderma.2024.116969
603. A test of Conserving Nature's Stage: protecting a diversity of geophysical traits can also support a diversity of species at a landscape scale S. Miller et al. 10.1098/rsta.2023.0063
604. European Soil Data Centre 2.0: Soil data and knowledge in support of the EU policies P. Panagos et al. 10.1111/ejss.13315
605. Prediction of pulse suitability in rice fallow areas using fuzzy AHP-based machine learning methods in Eastern India S. Sahoo et al. 10.1007/s10333-024-00970-0
606. Multi-objective Allocation Optimization of Soil Conservation Measures Under Data Uncertainty M. Hildemann et al. 10.1007/s00267-023-01837-6
607. Impact of interannual and multidecadal trends on methane-climate feedbacks and sensitivity C. Cheng & S. Redfern 10.1038/s41467-022-31345-w
608. Upscaling Soil Organic Carbon Measurements at the Continental Scale Using Multivariate Clustering Analysis and Machine Learning Z. Wang et al. 10.1029/2023JG007702
609. Nitrogen deposition suppresses soil respiration by reducing global belowground activity W. Xiao et al. 10.1016/j.scitotenv.2024.171246
610. Arctic soil carbon insulation averts large spring cooling from surface–atmosphere feedbacks R. Gaillard et al. 10.1073/pnas.2410226122
611. Towards interpretable machine learning for observational quantification of soil heavy metal concentrations under environmental constraints Y. Sun et al. 10.1016/j.scitotenv.2024.171931
612. Impacts of Land Use on Soil Erosion: RUSLE Analysis in a Sub-Basin of the Peruvian Amazon (2016–2022) M. Ascencio-Sanchez et al. 10.3390/geosciences15010015
613. Probabilistic reconstruction via machine-learning of the Po watershed aquifer system (Italy) A. Manzoni et al. 10.1007/s10040-023-02677-8
614. Providing quality-assessed and standardised soil data to support global mapping and modelling (WoSIS snapshot 2023) N. Batjes et al. 10.5194/essd-16-4735-2024
615. Dynamics of Aboveground Carbon Across Karst Terrestrial Ecosystems in China from 2015 to 2021 J. Shi et al. 10.3390/f15122143
616. Prediction of habitat suitability for Patrinia sibirica Juss. in the Southern Urals N. Fedorov et al. 10.1038/s41598-021-99018-0
617. Improving model parsimony and accuracy by modified greedy feature selection in digital soil mapping X. Zhang et al. 10.1016/j.geoderma.2023.116383
618. Past, present and future of an alien fungus Clathrus archeri in Croatia D. Levačić & S. Jelaska 10.37427/botcro-2025-017
619. Digital soil mapping in the Russian Federation: A review A. Suleymanov et al. 10.1016/j.geodrs.2024.e00763
620. How well does digital soil mapping represent soil geography? An investigation from the USA D. Rossiter et al. 10.5194/soil-8-559-2022
621. Probabilistic prediction by means of the propagation of response variable uncertainty through a Monte Carlo approach in regression random forest: Application to soil moisture regionalization S. Dega et al. 10.3389/fenvs.2023.1009191
622. Systematic Synthesis of Knowledge Relating to the Hydrological Functioning of Inland Valleys in Sub-Saharan Africa A. Tidjani et al. 10.3390/w17020193
623. Monitoring changes in global soil organic carbon stocks from space J. Padarian et al. 10.1016/j.rse.2022.113260
624. Ideas and perspectives: Alleviation of functional limitations by soil organisms is key to climate feedbacks from arctic soils G. Blume-Werry et al. 10.5194/bg-20-1979-2023
625. Drivers of Soil Organic Carbon Spatial Distribution in the Southern Ural Mountains: A Machine Learning Approach A. Suleymanov et al. 10.1134/S1064229324602014
626. Mapping the threat: projecting invasive plant distribution in the tropical Andes under climate change J. González-Trujillo et al. 10.1016/j.pecon.2024.11.002
627. Identifying opportunities to improve digital soil mapping in India: A systematic review P. Dash et al. 10.1016/j.geodrs.2021.e00478
628. Spatial assessment of topsoil zinc concentrations in Europe E. Van Eynde et al. 10.1016/j.scitotenv.2023.164512
629. Exploring soil property spatial patterns in a small grazed catchment using machine learning J. Barrena-González et al. 10.1007/s12145-023-01125-1
630. Arctic rooting depth distribution influences modelled carbon emissions but cannot be inferred from aboveground vegetation type G. Blume‐Werry et al. 10.1111/nph.18998
631. Modelling and prediction of major soil chemical properties with Random Forest: Machine learning as tool to understand soil-environment relationships in Antarctica R. Siqueira et al. 10.1016/j.catena.2023.107677
632. Assessing Impact of Salinity and Climate Scenarios on Dry Season Field Crops in the Coastal Region of Bangladesh A. Carcedo et al. 10.2139/ssrn.3991463
633. A Global Synthesis of Multi‐Factors Affecting Water Storage Capacity in Forest Canopy, Litter and Soil Layers Y. Liu et al. 10.1029/2022GL099888
634. Historical and future variation of soil organic carbon in China Z. Zhang et al. 10.1016/j.geoderma.2023.116557
635. Environmental Response of Tree Species Distribution in Northeast China with the Joint Species Distribution Model J. Yong et al. 10.3390/f15061026
636. Mapping and modeling riverine sand and gravel mining at the sub-continental scale: A case study for India E. Dujardin et al. 10.1016/j.scitotenv.2023.169200
637. Soil Moisture-Derived SWDI at 30 m Based on Multiple Satellite Datasets for Agricultural Drought Monitoring J. Ning et al. 10.3390/rs16183372
638. The phylogeographic journey of a plant species from lowland to highlands during the Pleistocene L. Soares & L. Freitas 10.1038/s41598-024-53414-4
639. Four-dimensional modelling reveals decline in cropland soil pH during last four decades in China’s Mollisols region J. Chen et al. 10.1016/j.geoderma.2024.117135
640. Modelling the impacts of water harvesting and climate change on rainfed maize yields in Senegal A. Setti et al. 10.4081/jae.2023.1524
641. Assessment of the interactions between soil–biosphere–atmosphere (ISBA) land surface model soil hydrology, using four closed-form soil water relationships and several lysimeters A. Sobaga et al. 10.5194/hess-27-2437-2023
642. Climate change threatens the future viability of translocated populations J. Bellis et al. 10.1111/ddi.13795
643. Spatially Explicit Soil Acidification under Optimized Fertilizer Use in Sub-Saharan Africa Y. Uwiragiye et al. 10.3390/agronomy13030632
644. High-resolution agriculture soil property maps from digital soil mapping methods, Czech Republic D. Žížala et al. 10.1016/j.catena.2022.106024
645. Enhancing WOFOST crop model with unscented Kalman filter assimilation of leaf area index O. Belozerova 10.1080/19479832.2023.2287037
646. Predicting regional soil organic matter content utilizing conventional satellites: Assessing the influence of temporal, spatial, and spectral disparities W. Zhang et al. 10.1016/j.catena.2024.107821
647. Modeling the Agricultural Soil Landscape of Germany—A Data Science Approach Involving Spatially Allocated Functional Soil Process Units M. Ließ 10.3390/agriculture12111784
648. Soil Data Cube and Artificial Intelligence Techniques for Generating National-Scale Topsoil Thematic Maps: A Case Study in Lithuanian Croplands N. Samarinas et al. 10.3390/rs15225304
649. Quantifying the potential triple benefits of photovoltaic energy development in reducing emissions, restoring ecological resource, and alleviating poverty in China F. Lyu et al. 10.1016/j.resconrec.2024.108110
650. Maximum entropy application in predicting the vulnerability of land and forest fires in South Sumatra Province, Indonesia D. Usmadi 10.1088/1755-1315/1183/1/012105
651. Assessing the spatio-temporal tropospheric ozone and drought impacts on leaf growth and grain yield of wheat across Europe through crop modeling and remote sensing data T. Nguyen et al. 10.1016/j.eja.2023.127052
652. Major drivers of soil acidification over 30 years differ in paddy and upland soils in China D. Xu et al. 10.1016/j.scitotenv.2024.170189
653. Below ground carbon stock of mangrove stands of a mining site in Hinatuan Island, Northeastern Mindanao, Philippines R. Benavides et al. 10.1088/1755-1315/1415/1/012004
654. Lessons from a regional analysis of forest recovery trajectories in West Africa B. Amani et al. 10.1088/1748-9326/ac9b4f
655. Soil organic carbon sequestration potential of conservation agriculture in arid and semi-arid regions: A review V. Thapa et al. 10.1016/j.jaridenv.2023.105028
656. Prototype Biodiversity Digital Twin: grassland biodiversity dynamics F. Taubert et al. 10.3897/rio.10.e124168
657. Modeling shallow soil moisture dynamics in mountainous landslide active regions J. Dai & S. Cheng 10.3389/fenvs.2022.913059
658. A new digital lithological map of Italy at the 1:100 000 scale for geomechanical modelling F. Bucci et al. 10.5194/essd-14-4129-2022
659. Management interventions of pearl millet systems for attaining cereal self-sufficiency in Senegal N. Vieira Junior et al. 10.3389/fsufs.2023.1281496
660. Assessment of the regeneration of landslides areas using unsupervised and supervised methods and explainable machine learning models P. Arrogante-Funes et al. 10.1007/s10346-023-02154-z
661. The effect of global warming on the Australian endemic orchid Cryptostylis leptochila and its pollinator M. Kolanowska et al. 10.1371/journal.pone.0280922
662. Influence of climatic variables on biome transitions in the Colombian and Panamanian Caribbean region Y. Nuñez-Bolaño et al. 10.1016/j.gloplacha.2024.104669
663. Bioclimatic and remote sensing factors are better key indicators than local topography and soil: Vegetation composition variability in forests of Pakistan's Spin Ghar Mountain range S. Rehman et al. 10.1016/j.ecolind.2024.112111
664. Prediction and mapping the productivity of eucalyptus clones with environmental covariates L. da Costa et al. 10.1007/s11295-024-01656-8
665. Human and natural impacts on the U.S. freshwater salinization and alkalinization: A machine learning approach B. E et al. 10.1016/j.scitotenv.2023.164138
666. Modeling potential natural vegetation: A new light on an old concept to guide nature conservation in fragmented and degraded landscapes A. Bourdouxhe et al. 10.1016/j.ecolmodel.2023.110382
667. High-resolution assessment of retrogressive thaw slump susceptibility in the Qinghai-Tibet Engineering Corridor G. Yin et al. 10.1016/j.rcar.2023.11.006
668. A novel finer soil strength mapping framework based on machine learning and remote sensing images R. Wang et al. 10.1016/j.cageo.2023.105479
669. High-resolution species distribution modelling reveals spatio-temporal variability of habitat suitability in a declining grassland bird T. Crispim-Mendes et al. 10.1007/s10980-024-01848-6
670. Physiological carry-over effects of variable precipitation are mediated by reproductive status in a long-lived ungulate J. Hediger et al. 10.1093/conphys/coae045
671. Dietary change in high-income nations alone can lead to substantial double climate dividend Z. Sun et al. 10.1038/s43016-021-00431-5
672. Forecasting the Carbon Stock Dynamics in the Soils of Cultivated Croplands in European Russia in the Context of the Low-Carbon Development V. Romanenkov et al. 10.31857/S2587556623040106
673. Can plants build their niche through modulation of soil microbial activities linked with nitrogen cycling? A test with Arabidopsis thaliana M. Przybylska et al. 10.1111/nph.19870
674. How can pedology and soil classification contribute towards sustainable development as a data source and information carrier? J. Bouma et al. 10.1016/j.geoderma.2022.115988
675. The Role of Atmospheric Circulation in Favouring Forest Fires in the Extreme Southern Portugal C. Purificação et al. 10.3390/su16166985
676. Fine-resolution mapping of cropland topsoil pH of Southern China and its environmental application B. Hu et al. 10.1016/j.geoderma.2024.116798
677. Meteorological, impact and climate perspectives of the 29 June 2017 heavy precipitation event in the Berlin metropolitan area A. Caldas-Alvarez et al. 10.5194/nhess-22-3701-2022
678. Mapping Surface Organic Soil Properties in Arctic Tundra Using C-Band SAR Data Y. Yi et al. 10.1109/JSTARS.2023.3236117
679. Improving digital mapping of soil organic matter in cropland by incorporating crop rotation Y. Liu et al. 10.1016/j.geoderma.2023.116620
680. Strategies for managing spring frost risks in orchards: effectiveness and conditionality—a systematic review B. Drepper et al. 10.1186/s13750-022-00281-z
681. Species distribution modeling and machine learning in assessing the potential distribution of freshwater zooplankton in Northern Italy N. Bellin et al. 10.1016/j.ecoinf.2022.101682
682. Fine Resolution Mapping of Soil Organic Carbon in Croplands with Feature Selection and Machine Learning in Northeast Plain China X. Zhang et al. 10.3390/rs15205033
683. Distribuição geográfica potencial do araticum (Annona crassiflora) P. Martins 10.55905/cuadv15n2-040
684. BIS-4D: mapping soil properties and their uncertainties at 25 m resolution in the Netherlands A. Helfenstein et al. 10.5194/essd-16-2941-2024
685. The challenge of selecting an appropriate soil organic carbon simulation model: A comprehensive global review and validation assessment A. Garsia et al. 10.1111/gcb.16896
686. OWEFE—open modeling framework for integrated water, energy, food, and environment systems J. Fleischmann et al. 10.1088/2634-4505/acbcee
687. Effects of Landslides on Terrestrial Carbon Stocks With a Coupled Geomorphic‐Biologic Model: Southeast Alaska, United States A. Booth et al. 10.1029/2022JG007297
688. An earlier start of growing season can affect tree radial growth through regulating cumulative growth rate J. Kang et al. 10.1016/j.agrformet.2023.109738
689. Soil Sampling Map Optimization with a Dual Deep Learning Framework T. Pham & K. Nguyen 10.3390/make6020035
690. Connecting the multiple dimensions of global soil fungal diversity V. Mikryukov et al. 10.1126/sciadv.adj8016
691. Comparison of Soil Water Content from SCATSAR-SWI and Cosmic Ray Neutron Sensing at Four Agricultural Sites in Northern Italy: Insights from Spatial Variability and Representativeness S. Emamalizadeh et al. 10.3390/rs16183384
692. Importance of Terrain and Climate for Predicting Soil Organic Carbon Is Highly Variable across Local to Continental Scales T. Tan et al. 10.1021/acs.est.4c01172
693. Ideas and perspectives: Beyond model evaluation – combining experiments and models to advance terrestrial ecosystem science S. Caldararu et al. 10.5194/bg-20-3637-2023
694. Dust aerosol from the Aralkum Desert influences the radiation budget and atmospheric dynamics of Central Asia J. Banks et al. 10.5194/acp-24-11451-2024
695. Remote Sensing Data for Digital Soil Mapping in French Research—A Review A. Richer-de-Forges et al. 10.3390/rs15123070
696. Geospatial model for allocating favorable plots for groundwater-dependent cultivation activities in Egypt A. Shalby et al. 10.1016/j.ejrs.2023.07.014
697. Organic carbon stocks, quality and prediction in permafrost-affected forest soils in North Canada M. Schiedung et al. 10.1016/j.catena.2022.106194
698. Land degradation assessment in South Punjab, Pakistan: a comparative analysis of rain use efficiency and weighted overlay methods N. Mazhar et al. 10.1007/s10708-024-11268-3
699. The implementation of dust mineralogy in COSMO5.05-MUSCAT S. Gómez Maqueo Anaya et al. 10.5194/gmd-17-1271-2024
700. A hybrid deep learning-based approach for optimal genotype by environment selection Z. Khalilzadeh et al. 10.3389/frai.2024.1312115
701. Most Pinyon–Juniper Woodland Species Distributions Are Projected to Shrink Rather Than Shift Under Climate Change A. Noel et al. 10.1016/j.rama.2024.09.002
702. Random forest machine learning for maize yield and agronomic efficiency prediction in Ghana E. Asamoah et al. 10.1016/j.heliyon.2024.e37065
703. Global variation in soil carbon sequestration potential through improved cropland management M. Lessmann et al. 10.1111/gcb.15954
704. Towards Incorporation of Blue Carbon in Falkland Islands Marine Spatial Planning: A Multi-Tiered Approach N. Bax et al. 10.3389/fmars.2022.872727
705. Biplots for understanding machine learning predictions in digital soil mapping S. van der Westhuizen et al. 10.1016/j.ecoinf.2024.102892
706. A unified framework to investigate and interpret hybrid and allopolyploid biodiversity across biological scales C. Krieg 10.1002/aps3.11612
707. An updated IPCC major soil types map derived from the harmonized world soil database v2.0 M. Sinitambirivoutin et al. 10.1016/j.catena.2024.108258
708. Evaluating nitrogen cycling in terrestrial biosphere models: a disconnect between the carbon and nitrogen cycles S. Kou-Giesbrecht et al. 10.5194/esd-14-767-2023
709. Estimating soil organic carbon stock change at multiple scales using machine learning and multivariate geostatistics G. Szatmári et al. 10.1016/j.geoderma.2021.115356
710. Remote sensing of soil degradation: Progress and perspective J. Wang et al. 10.1016/j.iswcr.2023.03.002
711. Digital soil mapping of soil burn severity S. Wilson & S. Prentice 10.1002/saj2.20702
712. The effects of geomorphology, soil and climate on the trajectory of aboveground biomass accumulation of beech (Fagus sylvatica L.) at the southern range margin F. Latterini et al. 10.1016/j.catena.2023.107787
713. Land capability assessment of Sali watershed for agricultural suitability using a multi-criteria-based decision-making approach A. Dutta et al. 10.1007/s10661-024-12393-9
714. Spatiotemporal Characteristics of Soil Erosion on the Chinese Loess Plateau and Strategies for Vegetation Management W. Tao et al. 10.1007/s42729-024-01846-2
715. Spatial prediction of soil properties using random forest, k-nearest neighbors and cubist approaches in the foothills of the Ural Mountains, Russia A. Suleymanov et al. 10.1007/s40808-023-01723-4
716. A framework for the development of hemp (Cannabis sativa L.) as a crop for the future in tropical environments E. Wimalasiri et al. 10.1016/j.indcrop.2021.113999
717. A novel local-global dependency deep learning model for soil mapping Q. Li et al. 10.1016/j.geoderma.2023.116649
718. Implementation of mineralogy in COSMO5.05–MUSCAT and model dust loading comparison with measurements S. Gómez Maqueo Anaya et al. 10.1051/e3sconf/202457502007
719. Soils in war and peace Y. Dmytruk et al. 10.1080/00207233.2022.2152254
720. Evaluating nutrient balances, soil carbon trends, and management options to support long-term soil productivity in smallholder crop-livestock systems B. Nyamasoka-Magonziwa et al. 10.1007/s10705-023-10325-6
721. Drainage assessment of irrigation districts: on the precision and accuracy of four parsimonious models P. Laluet et al. 10.5194/hess-28-3695-2024
722. Improvements in the land surface configuration to better simulate seasonal snow cover in the European Alps with the CNRM-AROME (cycle 46) convection-permitting regional climate model D. Monteiro et al. 10.5194/gmd-17-7645-2024
723. An integrated approach for the evaluation of quantitative soil maps through Taylor and solar diagrams A. Wadoux et al. 10.1016/j.geoderma.2021.115332
724. Climate Change Effects on Land Use and Land Cover Suitability in the Southern Brazilian Semiarid Region L. Silva et al. 10.3390/land13122008
725. Improving model performance in mapping black-soil resource with machine learning methods and multispectral features J. Hu et al. 10.1038/s41598-024-82399-3
726. Exploring the inter-decadal variability of soil organic carbon in China Z. Zhang et al. 10.1016/j.catena.2023.107242
727. Global polygons for terrain classification divided into uniform slopes and basins J. Iwahashi & D. Yamazaki 10.1186/s40645-022-00487-2
728. Sentinel-2 and Sentinel-1 Bare Soil Temporal Mosaics of 6-year Periods for Soil Organic Carbon Content Mapping in Central France D. Urbina-Salazar et al. 10.3390/rs15092410
729. Climate policies for carbon neutrality should not rely on the uncertain increase of carbon stocks in existing forests C. Roebroek et al. 10.1088/1748-9326/ad34e8
730. Impact of Urbanization-Driven Land Use Changes on Runoff in the Upstream Mountainous Basin of Baiyangdian, China: A Multi-Scenario Simulation Study Y. Gong et al. 10.3390/land13091374
731. Insights into the prediction uncertainty of machine-learning-based digital soil mapping through a local attribution approach J. Rohmer et al. 10.5194/soil-10-679-2024
732. Bivariate empirical mode decomposition of the spatial variation in the soil organic matter content: A case study from NW China Z. Zhang et al. 10.1016/j.catena.2021.105572
733. Vulnerability of cocoa-based agroforestry systems to climate change in West Africa A. Ariza-Salamanca et al. 10.1038/s41598-023-37180-3
734. Soil organic carbon mapping utilizing convolutional neural networks and Earth observation data, a case study in Bavaria state Germany N. Tziolas et al. 10.1016/j.geoderma.2024.116867
735. Changes in soil organic carbon stocks from 1980‐1990 and 2010‐2020 in the northwest arid zone of China Z. Zhang et al. 10.1002/ldr.4293
736. Population interconnectivity over the past 120,000 years explains distribution and diversity of Central African hunter-gatherers C. Padilla-Iglesias et al. 10.1073/pnas.2113936119
737. Spatiotemporal variability of the potential wind erosion risk in Southern Africa between 2005 and 2019 F. Kestel et al. 10.1002/ldr.4659
738. Forest biomes of Southern Africa L. Mucina et al. 10.1080/0028825X.2021.1960383
739. Climate change impacts on tree crop suitability in Southeast Asia J. Appelt et al. 10.1007/s10113-023-02111-5
740. Global Soil Salinity Estimation at 10 m Using Multi-Source Remote Sensing N. Wang et al. 10.34133/remotesensing.0130
741. Prediction of near‐term climate change impacts on UK wheat quality and the potential for adaptation through plant breeding N. Fradgley et al. 10.1111/gcb.16552
742. A comprehensive approach to building a continuous hydrologic model with Soil Moisture Accounting using Earth Observation data V. Thomopoulou et al. 10.2166/nh.2024.190
743. Multiple soil map comparison highlights challenges for predicting topsoil organic carbon concentration at national scale C. Feeney et al. 10.1038/s41598-022-05476-5
744. An Independent Validation of SoilGrids Accuracy for Soil Texture Components in Croatia D. Radočaj et al. 10.3390/land12051034
745. Inferring Land Conditions in the Tumen River Basin by Trend Analysis Based on Satellite Imagery and Geoinformation H. Yu & L. Li 10.3390/su14095687
746. Spatial patterns and determinants of avocado frontier dynamics in Mexico D. Ramírez-Mejía et al. 10.1007/s10113-022-01883-6
747. Prediction of pulse suitability in rice fallow areas using fuzzy AHP-based machine learning methods in Eastern India S. Sahoo et al. 10.1007/s10333-024-00970-0
748. Linking growth models and allometric equations to estimate carbon sequestration potential of cocoa agroforestry systems in West Africa A. Salamanca et al. 10.1007/s10457-022-00786-z
749. A Comparison, Validation, and Evaluation of the S-world Global Soil Property Database J. Stoorvogel & V. Mulder 10.3390/land10050544
750. Sustainable Water Resources Management under Climate Change: A Case Study with Potato Irrigation in an Insular Mediterranean Environment V. Litskas et al. 10.3390/hydrology10120218
751. Modelling and mapping soil nutrient depletion in humid highlands of East Africa using ensemble machine learning: A case study from Rwanda Y. Uwiragiye et al. 10.1016/j.catena.2022.106499
752. Frontiers in soil ecology—Insights from the World Biodiversity Forum 2022 N. Eisenhauer et al. 10.1002/sae2.12031
753. Yasaklı Bitkiden Potansiyel Bir Hazineye Doğru: Samsun, Amasya ve Tokat İllerinde Kenevir (Cannabis sativa L. hemp) Yetiştiriciliğinin Best-Worst Yöntemiyle Analizi M. GÖK & E. TAŞOĞLU 10.33688/aucbd.1298715