691 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. 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
7. Soil salinity dynamics in arid oases during irrigated and non‐irrigated seasons C. Zhu et al. 10.1002/ldr.4632
8. Microevolutionary Perspectives for Conserving Plant Diversity in South Brazilian Grasslands (Campos Sulinos) A. Segatto et al. 10.1016/j.pecon.2024.04.003
9. 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
10. Managing synthetic N-fertilizer emissions in India: Insights from field surveys across 102 districts B. Thirunagari et al. 10.1016/j.jenvman.2024.121909
11. A global dataset on phosphorus in agricultural soils B. Ringeval et al. 10.1038/s41597-023-02751-6
12. 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
13. Soil bulk density assessment in Europe P. Panagos et al. 10.1016/j.agee.2024.108907
14. Automatic Regionalization of Model Parameters for Hydrological Models M. Feigl et al. 10.1029/2022WR031966
15. National soil organic carbon map of agricultural lands in Nepal S. Lamichhane et al. 10.1016/j.geodrs.2022.e00568
16. Ecological characteristics of biotopes and the structure of communities with <i>Globularia</i> L. (Plantaginaceae, Magnoliopsida) within the Eastern European fragment of its range A. Parkhomenko et al. 10.35885/1684-7318-2024-2-167-189
17. Geographic Variation in Migratory Grasshopper Recruitment under Projected Climate Change J. Humphreys et al. 10.3390/geographies2010003
18. Evaluation of Different Modelling Techniques with Fusion of Satellite, Soil and Agro-Meteorological Data for the Assessment of Durum Wheat Yield under a Large Scale Application E. Lekakis et al. 10.3390/agriculture12101635
19. Connecting dryland fine-fuel assessments to wildfire exposure and natural resource values at risk A. Wells et al. 10.1186/s42408-023-00196-1
20. Analysis of Land Suitability for Maize Production under Climate Change and Its Mitigation Potential through Crop Residue Management N. Karapetsas et al. 10.3390/land13010063
21. 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
22. Environmental drivers of increased ecosystem respiration in a warming tundra S. Maes et al. 10.1038/s41586-024-07274-7
23. Mapping soil organic carbon stocks in Nepal’s forests S. Khanal et al. 10.1038/s41598-023-34247-z
24. 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
25. 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
26. A meta‐analysis highlights globally widespread potassium limitation in terrestrial ecosystems B. Chen et al. 10.1111/nph.19294
27. Major distribution shifts are projected for key rangeland grasses under a high-emission scenario in East Africa at the end of the 21st century M. Messmer et al. 10.1038/s43247-024-01731-x
28. Improving model performance in mapping cropland soil organic matter using time-series remote sensing data X. Zhang et al. 10.1016/j.jia.2024.01.015
29. Analysis of the Impact of Environmental and Agronomic Variables on Agronomic Parameters in Soybean Cultivation Based on Long-Term Data E. Wójcik-Gront et al. 10.3390/plants11212922
30. The Cycle 46 Configuration of the HARMONIE-AROME Forecast Model E. Gleeson et al. 10.3390/meteorology3040018
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32. Identifying Major Hydrologic Change Drivers in a Highly Managed Transboundary Endorheic Basin: Integrating Hydro‐Ecological Models and Time Series Data Mining Techniques J. Acero Triana & H. Ajami 10.1029/2022WR032281
33. Should we exploit opportunistic databases with joint species distribution models? Artificial and real data suggest it depends on the sampling completeness D. Romera‐Romera & D. Nieto‐Lugilde 10.1111/ecog.07340
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38. 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
39. Ecohydrological processes can predict biocrust cover at regional scale but not global scale N. Chen et al. 10.1007/s11104-024-07079-7
40. 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
41. Mapping Brazilian soil mineralogy using proximal and remote sensing data N. Rosin et al. 10.1016/j.geoderma.2023.116413
42. ‘Fly to a Safer North’: Distributional Shifts of the Orchid Ophrys insectifera L. Due to Climate Change M. Charitonidou et al. 10.3390/biology11040497
43. Resource availability and disturbance frequency shape evolution of plant life forms in Neotropical habitats L. Prochazka et al. 10.1111/nph.19601
44. 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
45. High-Resolution Ammonia Emissions from Nitrogen Fertilizer Application in China during 2005–2020 Y. Chen et al. 10.3390/atmos13081297
46. Accounting for analytical and proximal soil sensing errors in digital soil mapping B. Takoutsing et al. 10.1111/ejss.13226
47. 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
48. Global patterns in endemicity and vulnerability of soil fungi L. Tedersoo et al. 10.1111/gcb.16398
49. A weakly supervised framework for high-resolution crop yield forecasts D. Paudel et al. 10.1088/1748-9326/acf50e
50. 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
51. Satellite Remote Sensing of Savannas: Current Status and Emerging Opportunities A. Abdi et al. 10.34133/2022/9835284
52. Geospatial prediction of total soil carbon in European agricultural land based on deep learning D. Radočaj et al. 10.1016/j.scitotenv.2023.169647
53. 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
54. Pedology of archaeological stone-wall bench terraces D. Itkin et al. 10.1016/j.geoderma.2022.116129
55. Forest aboveground biomass estimation by GEDI and multi-source EO data fusion over Indian forest J. Mohite et al. 10.1080/01431161.2024.2307944
56. Revealing the hidden carbon in forested wetland soils A. Stewart et al. 10.1038/s41467-024-44888-x
57. Elevational Patterns of Forest Evapotranspiration and Its Sensitivity to Climatic Variation in Dryland Mountains H. Li et al. 10.3390/w16091252
58. Mapping and monitoring peatland conditions from global to field scale B. Minasny et al. 10.1007/s10533-023-01084-1
59. Tier 4 maps of soil pH at 25 m resolution for the Netherlands A. Helfenstein et al. 10.1016/j.geoderma.2021.115659
60. 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
61. Quantification of the uncertainty of geoscientific maps relying on human sensory engagement J. Asadi et al. 10.1007/s12665-024-11870-1
62. 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
63. Releasing global forests from human management: How much more carbon could be stored? C. Roebroek et al. 10.1126/science.add5878
64. 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
65. 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
66. 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
67. 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
68. Decadal increases in carbon uptake offset by respiratory losses across northern permafrost ecosystems C. See et al. 10.1038/s41558-024-02057-4
69. On-Site Soil Monitoring Using Photonics-Based Sensors and Historical Soil Spectral Libraries K. Karyotis et al. 10.3390/rs15061624
70. Resistance of ecosystem services to global change weakened by increasing number of environmental stressors G. Zhou et al. 10.1038/s41561-024-01518-x
71. CSDMS Data Components: data–model integration tools for Earth surface processes modeling T. Gan et al. 10.5194/gmd-17-2165-2024
72. 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
73. 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
74. 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
75. Identification of Groundwater Potential Recharge and Recharge Zones of Tumakuru District Using GIS S. Gubbi Ratna et al. 10.1007/s40030-023-00762-5
76. The Role of Remote Sensing Data and Methods in a Modern Approach to Fertilization in Precision Agriculture D. Radočaj et al. 10.3390/rs14030778
77. Global patterns and driving factors of plant litter iron, manganese, zinc, and copper concentrations Y. Peng et al. 10.1016/j.scitotenv.2022.159686
78. Ecological and biological indicators of the accuracy of species distribution models: lessons from European bryophytes F. Collart et al. 10.1111/ecog.06721
79. Guiding seed movement: environmental heterogeneity drives genetic differentiation in Plathymenia reticulata, providing insights for restoration T. Conceição et al. 10.1093/aobpla/plae032
80. 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
81. 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
82. The Global Environmental Benefits of Halving Avoidable Consumer Food Waste A. Coudard et al. 10.1021/acs.est.4c04140
83. Optimizing Sampling Strategies for Near-Surface Soil Carbon Inventory: One Size Doesn’t Fit All C. Bettigole et al. 10.3390/soilsystems7010027
84. 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
85. Improving pedotransfer functions for predicting soil mineral associated organic carbon by ensemble machine learning Y. Xiao et al. 10.1016/j.geoderma.2022.116208
86. Potential Satellite Monitoring of Surface Organic Soil Properties in Arctic Tundra From SMAP Y. Yi et al. 10.1029/2021WR030957
87. 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
88. Abiotic factors impact on oak forest decline in Lorestan Province, Western Iran S. Mehri et al. 10.1038/s41598-024-54551-6
89. Functional and phylogenetic dimensions of tree biodiversity reveal unique geographic patterns A. Paz et al. 10.1111/geb.13877
90. 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
91. Thermokarst lake susceptibility assessment using machine learning models in permafrost landscapes of the Arctic R. Wang et al. 10.1016/j.scitotenv.2023.165709
92. 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
93. 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
94. Optimized modelling of countrywide soil organic carbon levels via an interpretable decision tree N. Kebonye et al. 10.1016/j.atech.2022.100106
95. 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
96. 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
97. 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
98. 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
99. 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
100. 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
101. 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
102. Sedimentary organic carbon storage of thermokarst lakes and ponds across Tibetan permafrost region Z. Wei et al. 10.1016/j.scitotenv.2022.154761
103. 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
104. Vegetation‐Promoted Soil Structure Inhibits Hydrologic Landslide Triggering and Alters Carbon Fluxes L. Fan et al. 10.1029/2022GL100389
105. 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
106. 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
107. SAR2ET: End-to-End SAR-Driven Multisource ET Imagery Estimation Over Croplands S. Cetin et al. 10.1109/JSTARS.2024.3447033
108. 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
109. A comprehensive framework for stochastic calibration and sensitivity analysis of large-scale groundwater models A. Manzoni et al. 10.5194/hess-28-2661-2024
110. 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
111. 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
112. Identification of groundwater potential zones in data-scarce mountainous region using explainable machine learning K. Dahal et al. 10.1016/j.jhydrol.2023.130417
113. Earthworms contribute significantly to global food production S. Fonte et al. 10.1038/s41467-023-41286-7
114. Modeling potential site productivity for Austrocedrus chilensis trees in northern Patagonia (Argentina) F. Oddi et al. 10.1016/j.foreco.2022.120525
115. Genomic insights into local adaptation and vulnerability of Quercus longinux to climate change P. Sun et al. 10.1186/s12870-024-04942-8
116. 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
117. 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
118. 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
119. 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
120. Ecological landscape explains aquifers microbial structure F. Barbosa et al. 10.1016/j.scitotenv.2022.160822
121. Estimating the uncertainties of satellite derived soil moisture at global scale F. Gibon et al. 10.1016/j.srs.2024.100147
122. Soil Information on a Regional Scale: Two Machine Learning Based Approaches for Predicting Ksat H. Zeitfogel et al. 10.2139/ssrn.4143185
123. Spatial predictions of maize yields using QUEFTS – A comparison of methods M. Breure et al. 10.1016/j.geoderma.2022.116018
124. 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
125. 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
126. SHIFT: a spatial-heterogeneity improvement in DEM-based mapping of global geomorphic floodplains K. Zheng et al. 10.5194/essd-16-3873-2024
127. Implications of zero-deforestation palm oil for tropical grassy and dry forest biodiversity S. Fleiss et al. 10.1038/s41559-022-01941-6
128. A Modeling Framework to Frame a Biological Invasion: Impatiens glandulifera in North America O. Kanmaz et al. 10.3390/plants12071433
129. 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
130. 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
131. National soil data in EU countries, where do we stand? S. Cornu et al. 10.1111/ejss.13398
132. 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
133. 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
134. Assessing Temporal Trade-Offs of Ecosystem Services by Production Possibility Frontiers W. Jiang et al. 10.3390/rs15030749
135. Climate change causes spatial shifts in the productivity of agricultural long-term field experiments C. Donmez et al. 10.1016/j.eja.2024.127121
136. Prediction and Uncertainty Capabilities of Quantile Regression Forests in Estimating Spatial Distribution of Soil Organic Matter M. Nikou & P. Tziachris 10.3390/ijgi11020130
137. 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
138. 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
139. Hydro-pedotransfer functions: a roadmap for future development T. Weber et al. 10.5194/hess-28-3391-2024
140. Evaluating soil moisture retrieval in Arctic and sub-Arctic environments using passive microwave satellite data J. Ortet et al. 10.1080/17538947.2024.2385079
141. Assessing spatially heterogeneous scale representation with applied digital soil mapping D. Newman et al. 10.1016/j.envsoft.2022.105612
142. Central America’s agro-ecological suitability for cultivating coca, Erythroxylum spp P. Murillo-Sandoval et al. 10.1088/1748-9326/ad7276
143. 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
144. Mapping forest site quality at national level A. Aguirre et al. 10.1016/j.foreco.2022.120043
145. 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
146. 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
147. Global patterns and determinants of the initial concentrations of litter carbon components J. Yuan et al. 10.1016/j.scitotenv.2024.175844
148. 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
149. The prevalent life cycle of agricultural flash droughts M. Lovino et al. 10.1038/s41612-024-00618-0
150. SAGAscape: Simulating Resource Exploitation Strategies in Iron Age to Hellenistic Communities in Southwest Anatolia S. Boogers & D. Daems 10.5334/jcaa.90
151. 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
152. 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
153. 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
154. Colombian soil texture: building a spatial ensemble model V. Varón-Ramírez et al. 10.5194/essd-14-4719-2022
155. 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
156. Spatio-Temporal Variations in Soil pH and Aluminum Toxicity in Sub-Saharan African Croplands (1980–2050) Y. Uwiragiye et al. 10.3390/rs15051338
157. 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
158. 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
159. 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
160. Forecast the Habitat Sustainability of Schoenus ferrugineus L. (Cyperaceae) in the Southern Urals under Climate Change N. Fedorov et al. 10.3390/plants13111563
161. A global numerical classification of the soil surface layer A. Wadoux & A. McBratney 10.1016/j.geoderma.2024.116915
162. 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
163. 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
164. 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
165. 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
166. 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
167. Topoedaphic constraints on woody plant cover in a semi-arid grassland S. Jones et al. 10.1016/j.ecolind.2023.110226
168. Degradation of ice-wedge polygons leads to increased fluxes of water and DOC N. Speetjens et al. 10.1016/j.scitotenv.2024.170931
169. Machine learning may accelerate the recognition and control of microplastic pollution: Future prospects F. Yu & X. Hu 10.1016/j.jhazmat.2022.128730
170. Remote Sensing Prediction Model of Cultivated Land Soil Organic Matter Considering the Best Time Window Y. Wang et al. 10.3390/su15010469
171. 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
172. Toward Robust Parameterizations in Ecosystem‐Level Photosynthesis Models S. Bao et al. 10.1029/2022MS003464
173. 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
174. In silico calculation of soil pH by SCEPTER v1.0 Y. Kanzaki et al. 10.5194/gmd-17-4515-2024
175. A Multiscale Cost–Benefit Analysis of Digital Soil Mapping Methods for Sustainable Land Management D. Radočaj et al. 10.3390/su141912170
176. 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
177. Land-use determines the distribution of large branchiopods in climatically homogeneous northern Pannonia A. Devánová et al. 10.1016/j.gecco.2024.e03300
178. Life history strategies of soil bacterial communities across global terrestrial biomes G. Piton et al. 10.1038/s41564-023-01465-0
179. Forest Orchids under Future Climate Scenarios: Habitat Suitability Modelling to Inform Conservation Strategies A. Pica et al. 10.3390/plants13131810
180. 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
181. 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
182. Headwater refuges: Flow protects Austropotamobius crayfish from Faxonius limosus invasion A. Satmari et al. 10.3897/neobiota.89.110085
183. Sustainability and drivers of Populus tremuloides regeneration and recruitment near the southwestern edge of its range C. Crouch et al. 10.1093/forestry/cpae018
184. Global and regional soil organic carbon estimates: Magnitudes and uncertainties Z. LIN et al. 10.1016/j.pedsph.2023.06.005
185. 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
186. 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
187. Farm vehicles approaching weights of sauropods exceed safe mechanical limits for soil functioning T. Keller & D. Or 10.1073/pnas.2117699119
188. 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
189. 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
190. A novel framework to generate plant functional groups for ecological modelling M. Calbi et al. 10.1016/j.ecolind.2024.112370
191. 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
192. 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
193. Mapping Soil Organic Carbon in Floodplain Farmland: Implications of Effective Range of Environmental Variables Z. Wu et al. 10.3390/land12061198
194. An advanced global soil erodibility (K) assessment including the effects of saturated hydraulic conductivity S. Gupta et al. 10.1016/j.scitotenv.2023.168249
195. 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
196. 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
197. 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
198. 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
199. 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
200. Sentinel-1 Imagery Used for Estimation of Soil Organic Carbon by Dual-Polarization SAR Vegetation Indices E. Santos et al. 10.3390/rs15235464
201. 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
202. 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
203. New geomorphometric variables for non-continuous hillslopes – Assessing the value for digital soil mapping A. Temme et al. 10.1016/j.geoderma.2022.115848
204. A global map of root biomass across the world's forests Y. Huang et al. 10.5194/essd-13-4263-2021
205. Global crop production increase by soil organic carbon Y. Ma et al. 10.1038/s41561-023-01302-3
206. An ensemble neural network approach for space–time landslide predictive modelling J. Lim et al. 10.1016/j.jag.2024.104037
207. 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
208. Soil moisture content retrieval from Landsat 8 data using ensemble learning Y. Zhang et al. 10.1016/j.isprsjprs.2022.01.005
209. 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
210. 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
211. 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
212. Mapping high resolution National Soil Information Grids of China F. Liu et al. 10.1016/j.scib.2021.10.013
213. 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
214. Global Soil Salinity Prediction by Open Soil Vis-NIR Spectral Library Y. Zhou et al. 10.3390/rs14215627
215. 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
216. International demand for food and services drives environmental footprints of pesticide use F. Tang et al. 10.1038/s43247-022-00601-8
217. 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
218. 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
219. Retrogressive thaw slump susceptibility in the northern hemisphere permafrost region E. Makopoulou et al. 10.1002/esp.5890
220. Modeling the spatial distribution of soil physical properties in a semiarid tropical region J. Inácio Silva et al. 10.1016/j.catena.2024.108311
221. Chemical Mixtures and Multiple Stressors: Same but Different? R. Schäfer et al. 10.1002/etc.5629
222. 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
223. Earth Observation Data-Driven Cropland Soil Monitoring: A Review N. Tziolas et al. 10.3390/rs13214439
224. Global patterns and abiotic drivers of ecosystem multifunctionality in dominant natural ecosystems Y. Wang et al. 10.1016/j.envint.2022.107480
225. 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
226. Remote sensing of the Earth's soil color in space and time R. Rizzo et al. 10.1016/j.rse.2023.113845
227. 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
228. Seasonal Biotic Processes Vary the Carbon Turnover by Up To One Order of Magnitude in Wetlands C. Pasut et al. 10.1029/2022GB007679
229. 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
230. 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
231. Calendula arvensis (Vaill.) L. Florets: Every Place and Season Resource? A Preliminary UHPLC-HRMS-Driven Assessment M. Fiorentino et al. 10.1021/acsfoodscitech.4c00158
232. 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
233. 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
234. 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
235. 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
236. Reference maps of soil phosphorus for the pan-Amazon region J. Darela-Filho et al. 10.5194/essd-16-715-2024
237. 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
238. 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
239. Maps of Soil Organic Carbon Sequestration Potential in the Russian Croplands V. Romanenkov et al. 10.1134/S106422932360375X
240. Upscaling Forest Canopy Height Estimation Using Waveform-Calibrated GEDI Spaceborne LiDAR and Sentinel-2 Data J. Wang et al. 10.3390/rs16122138
241. Semi-supervised learning for the spatial extrapolation of soil information R. Taghizadeh-Mehrjardi et al. 10.1016/j.geoderma.2022.116094
242. Ensemble learning-based crop yield estimation: a scalable approach for supporting agricultural statistics P. Brandt et al. 10.1080/15481603.2024.2367808
243. High-resolution mapping of soil carbon stocks in the western Amazon C. Moquedace et al. 10.1016/j.geodrs.2024.e00773
244. Future soil organic carbon stocks in China under climate change J. Wu et al. 10.1016/j.crsus.2024.100179
245. Mapping of Soil Organic Carbon Stocks Based on Aerial Photography in a Fragmented Desertification Landscape J. Lian et al. 10.3390/rs14122829
246. Management-induced changes in soil organic carbon on global croplands K. Karstens et al. 10.5194/bg-19-5125-2022
247. 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
248. 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
249. Disentangling coastal groundwater level dynamics in a global dataset A. Nolte et al. 10.5194/hess-28-1215-2024
250. 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
251. 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
252. Grazing herbivores reduce herbaceous biomass and fire activity across African savannas A. Karp et al. 10.1111/ele.14450
253. 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
254. 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
255. 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
256. Assessing the utility of SoilGrids250 for biogeographic inference of plant populations T. Miller et al. 10.1002/ece3.10986
257. Global soil erodibility factor (K) mapping and algorithm applicability analysis M. Yang et al. 10.1016/j.catena.2024.107943
258. 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
259. 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
260. Reducing location error of legacy soil profiles leads to improvement in digital soil mapping G. Shi et al. 10.1016/j.geoderma.2024.116912
261. CYGNSS toprak nemi verilerinin SMAP uydusu ve ISMN istasyonları ile karşılaştırmalı analizi M. Çevikalp et al. 10.29128/geomatik.1424069
262. Contrasting invasion patterns of two closely related Solidago alien species K. Skokanová et al. 10.1111/jbi.14785
263. 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
264. 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
265. Geodiversity data for Europe M. Toivanen et al. 10.1098/rsta.2023.0173
266. 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
267. Application of Deep Convolutional Networks for Improved Risk Assessments of Post-Wildfire Drinking Water Contamination A. Schmidt et al. 10.2139/ssrn.4132138
268. 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
269. 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
270. An inverse dielectric mixing model at 50 MHz that considers soil organic carbon C. Park et al. 10.5194/hess-25-6407-2021
271. 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
272. 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
273. 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
274. 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
275. 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
276. Predicting the Habitat Suitability for Angelica gigas Medicinal Herb Using an Ensemble Species Distribution Model J. Jung et al. 10.3390/f14030592
277. Improving global soil moisture prediction through cluster-averaged sampling strategy Q. Li et al. 10.1016/j.geoderma.2024.116999
278. Grassland degradation by shrub encroachment: Mapping patterns and drivers of encroachment in Kyrgyzstan E. Khazieva et al. 10.1016/j.jaridenv.2022.104849
279. Global analysis of soil bacterial genera and diversity in response to pH X. Zhou et al. 10.1016/j.soilbio.2024.109552
280. Explainable artificial intelligence in geoscience: A glimpse into the future of landslide susceptibility modeling A. Dahal & L. Lombardo 10.1016/j.cageo.2023.105364
281. 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
282. 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
283. 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
284. Carbon Farming practices assessment: Modelling spatial changes of Soil Organic Carbon in Flanders, Belgium S. Spotorno et al. 10.1016/j.scitotenv.2024.171267
285. Multi-method distribution modelling of an invasive crayfish (Pontastacus leptodactylus) at Eurasian scale J. Hodson et al. 10.1007/s10750-024-05641-z
286. 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
287. 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
288. 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
289. Habitat preferences, spatial distribution and current population status of endangered giant flower Amorphophallus titanum A. Yudaputra et al. 10.1007/s10531-022-02366-0
290. Climate-sensitive spatial variability of soil organic carbon in multiple forests, Central China C. Shen et al. 10.1016/j.gecco.2023.e02555
291. Measurement error-filtered machine learning in digital soil mapping S. van der Westhuizen et al. 10.1016/j.spasta.2021.100572
292. 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
293. 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
294. Machine Learning Techniques for Estimating Hydraulic Properties of the Topsoil across the Zambezi River Basin M. Kalumba et al. 10.3390/land11040591
295. Thermokarst Lake Susceptibility Assessment Induced by Permafrost Degradation in the Qinghai–Tibet Plateau Using Machine Learning Methods R. Wang et al. 10.3390/rs15133331
296. 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
297. Can Thailand Protect 30% of Its Land Area for Biodiversity, and Will This Be Enough? N. Pomoim et al. 10.3390/d14050344
298. Early Crop Mapping Using Dynamic Ecoregion Clustering: A USA-Wide Study Y. Wang et al. 10.3390/rs15204962
299. Uncertainty of spatial averages and totals of natural resource maps A. Wadoux & G. Heuvelink 10.1111/2041-210X.14106
300. 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
301. 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
302. 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
303. Grain-cropping suitability for evaluating the agricultural land use change in Brazil J. Safanelli et al. 10.1016/j.apgeog.2023.102937
304. Patterns, Dynamics, and Drivers of Soil Available Nitrogen and Phosphorus in Alpine Grasslands across the QingZang Plateau Y. He et al. 10.3390/rs14194929
305. 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
306. Bioclimatic Factors and Ecogeographical Patterns in the Distribution of the Rare Species Hedysarum grandiflorum Pall. L. Abramova et al. 10.1134/S1995425524010013
307. Radiocarbon analysis reveals underestimation of soil organic carbon persistence in new-generation soil models A. Brunmayr et al. 10.5194/gmd-17-5961-2024
308. 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
309. Data-driven similar response units for agricultural technology targeting: An example from Ethiopia L. Tamene et al. 10.1017/S0014479722000126
310. 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
311. Simulating Runoff Formation in Mountain Crimea Rivers under Current and Projected Climate Conditions A. Kalugin et al. 10.1134/S0097807824701173
312. Impact of Ice-Storms and Subsequent Salvage Logging on the Productivity of Cunninghamia lanceolata (Chinese Fir) Forests Y. Zhu et al. 10.3390/f13020296
313. 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
314. Soil assessment in Denmark: Towards soil functional mapping and beyond L. Gomes et al. 10.3389/fsoil.2023.1090145
315. Geographic variation in phenotypic divergence between two hybridizing field cricket species A. Byerly et al. 10.3897/jor.32.90713
316. 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
317. Distribution, Characterization and the Commercialization of Elite Rhizobia Strains in Africa C. Wekesa et al. 10.3390/ijms23126599
318. 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
319. An Independent Validation of SoilGrids Accuracy for Soil Texture Components in Croatia D. Radočaj et al. 10.3390/land12051034
320. 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
321. Global distribution and climate sensitivity of the tropical montane forest nitrogen cycle J. Gay et al. 10.1038/s41467-022-35170-z
322. Mapping global nitrogen deposition impacts on soil respiration C. Chen & H. Chen 10.1016/j.scitotenv.2023.161986
323. 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
324. Functional and ecological diversification of underground organs in Solanum E. Gagnon et al. 10.3389/fgene.2023.1231413
325. Soil Science-Informed Machine Learning B. Minasny et al. 10.1016/j.geoderma.2024.117094
326. 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
327. 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
328. 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
329. Spatial statistics and soil mapping: A blossoming partnership under pressure G. Heuvelink & R. Webster 10.1016/j.spasta.2022.100639
330. 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
331. Quantitation of Rainfall Retention Capacity for Small Reservoirs Considering Spatial Soil Moisture B. Tong et al. 10.3390/w16213114
332. Quantifying erosion rates and weathering pathways that maximize soil organic carbon storage J. Roering et al. 10.1007/s10533-023-01054-7
333. 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
334. Integrating additional spectroscopically inferred soil data improves the accuracy of digital soil mapping S. Chen et al. 10.1016/j.geoderma.2023.116467
335. 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
336. 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
337. Impacts of the Desiccation of the Aral Sea on the Central Asian Dust Life‐Cycle J. Banks et al. 10.1029/2022JD036618
338. 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
339. A Spatial Sample Selection Model* Y. Bao et al. 10.1111/obes.12599
340. Cropland Suitability Assessment Using Satellite-Based Biophysical Vegetation Properties and Machine Learning D. Radočaj et al. 10.3390/agronomy11081620
341. 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
342. 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
343. 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
344. 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
345. 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
346. 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
347. Critical slowing down of the Amazon forest after increased drought occurrence J. Van Passel et al. 10.1073/pnas.2316924121
348. Multiscale evaluations of global, national and regional digital soil mapping products in France B. Lemercier et al. 10.1016/j.geoderma.2022.116052
349. 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
350. 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
351. 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
352. Warming and disturbances affect Arctic-boreal vegetation resilience across northwestern North America Y. Zhang et al. 10.1038/s41559-024-02551-0
353. Ensemble modeling for American chestnut distribution: Locating potential restoration sites in Pennsylvania A. Henderson et al. 10.3389/fevo.2022.942766
354. 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
355. Species distribution models affected by positional uncertainty in species occurrences can still be ecologically interpretable L. Gábor et al. 10.1111/ecog.06358
356. Unpredictable soil conditions can affect the prevalence of a microbial symbiosis T. Scott et al. 10.7717/peerj.17445
357. 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
358. 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
359. 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
360. 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
361. High-resolution soil organic carbon mapping at the field scale in Southern Belgium (Wallonia) Y. Zhou et al. 10.1016/j.geoderma.2022.115929
362. 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
363. Digital mapping of GlobalSoilMap soil properties at a broad scale: A review S. Chen et al. 10.1016/j.geoderma.2021.115567
364. Mycorrhizal association and life form dominantly control plant litter lignocellulose concentration at the global scale Y. Peng et al. 10.3389/fpls.2022.926941
365. Carbon dynamics of Western North American boreal forests in response to stand-replacing disturbances L. Yu et al. 10.1016/j.jag.2023.103410
366. A multi-data approach to evaluate progress towards land degradation neutrality in Central Asia E. Khazieva et al. 10.1016/j.ecolind.2023.110529
367. Applications and challenges of digital soil mapping in Africa A. Nenkam et al. 10.1016/j.geoderma.2024.117007
368. 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
369. 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
370. Extent, impacts and drivers of oystershell scale invasions in aspen ecosystems C. Crouch et al. 10.3897/neobiota.95.121748
371. 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
372. A dataset of lake-catchment characteristics for the Tibetan Plateau J. Liu et al. 10.5194/essd-14-3791-2022
373. 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
374. A high-resolution map of soil organic carbon in cropland of Southern China B. Hu et al. 10.1016/j.catena.2024.107813
375. Soil carbon sequestration potential in global croplands J. Padarian et al. 10.7717/peerj.13740
376. Potential model of Scalesia pedunculata carbon sequestration through restoration efforts in agricultural fields of Galapagos N. Velasco et al. 10.1371/journal.pone.0302680
377. 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
378. Guatemala soil organic carbon database (GTMSOC) A. Vásquez et al. 10.1111/ejss.13450
379. Scale-Related Variations in Soil Loss and Validation of the RUSLE Model in Anambra State, Nigeria C. Ezeh et al. 10.1134/S1064229324600015
380. 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
381. The pan-Arctic catchment database (ARCADE) N. Speetjens et al. 10.5194/essd-15-541-2023
382. Shrub richness is primarily driven by climate conditions in Southwestern European woodlands D. Moreno-Fernández et al. 10.1007/s13595-021-01117-5
383. 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
384. Comparing direct and indirect approaches to predicting soil texture class D. Saurette 10.1139/cjss-2022-0040
385. 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
386. 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
387. Random forests with spatial proxies for environmental modelling: opportunities and pitfalls C. Milà et al. 10.5194/gmd-17-6007-2024
388. Using Automated Machine Learning for Spatial Prediction—The Heshan Soil Subgroups Case Study P. Liang et al. 10.3390/land13040551
389. 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
390. 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
391. 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
392. 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
393. Global patterns and drivers of initial plant litter ash concentration Q. Yang et al. 10.1016/j.scitotenv.2022.154702
394. Factors that shape large‐scale gradients in clonality H. Zhang et al. 10.1111/jbi.14577
395. Global 1 km land surface parameters for kilometer-scale Earth system modeling L. Li et al. 10.5194/essd-16-2007-2024
396. 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
397. 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
398. 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
399. 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
400. Assessing land suitability for rainfed paddy rice production in Zambia M. Makungwe et al. 10.1016/j.geodrs.2021.e00438
401. RECCAP2 Future Component: Consistency and Potential for Regional Assessment to Constrain Global Projections C. Jones et al. 10.1029/2023AV001024
402. Unequal impacts of urban industrial land expansion on economic growth and carbon dioxide emissions C. Yoo et al. 10.1038/s43247-024-01375-x
403. Soil data recency: The foundation for harmonizing soil data across time T. Gobezie et al. 10.1016/j.jenvman.2024.121484
404. Multivariate random forest for digital soil mapping S. van der Westhuizen et al. 10.1016/j.geoderma.2023.116365
405. Multi-Disaster Hazard Analysis, The Case of Elazığ Province F. Canpolat 10.21324/dacd.1400245
406. The Potential Use of Global Evapotranspiration Products and Models to Estimate Lake Residence Time at Large Scale K. Ding et al. 10.1029/2022WR033148
407. Enhanced dendroprovenancing through high-resolution soil- and climate data M. van Sluijs et al. 10.1016/j.dendro.2024.126180
408. 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
409. 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
410. 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
411. 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
412. Dealing with clustered samples for assessing map accuracy by cross-validation S. de Bruin et al. 10.1016/j.ecoinf.2022.101665
413. Validation of uncertainty predictions in digital soil mapping J. Schmidinger & G. Heuvelink 10.1016/j.geoderma.2023.116585
414. 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
415. 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
416. 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
417. 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
418. 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
419. 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
420. Enhancing ecosystem productivity and stability with increasing canopy structural complexity in global forests X. Liu et al. 10.1126/sciadv.adl1947
421. Soil Organic Carbon Sequestration Potential Maps in the Russian Cropland V. Romanenkov et al. 10.31857/S0032180X24050037
422. Mapping peat thickness and carbon stock of a degraded peatland in West Sumatra, Indonesia D. Fiantis et al. 10.1111/sum.12954
423. 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
424. Mapping soil organic carbon stocks in Tunisian topsoils H. Bahri et al. 10.1016/j.geodrs.2022.e00561
425. 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
426. Sample Size Optimization for Digital Soil Mapping: An Empirical Example D. Saurette et al. 10.3390/land13030365
427. 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
428. Distribution-agnostic landslide hazard modelling via Graph Transformers G. Belvederesi et al. 10.1016/j.envsoft.2024.106231
429. 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
430. A bottom-up agricultural emissions inventory and its analysis via CMAQ and IASI-NH3 E. Akyuz et al. 10.1016/j.scitotenv.2024.175355
431. Mapping the irrecoverable carbon in Earth’s ecosystems M. Noon et al. 10.1038/s41893-021-00803-6
432. 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
433. Identifying causes of crop yield variability with interpretive machine learning E. Jones et al. 10.1016/j.compag.2021.106632
434. 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
435. Using homosoils for quantitative extrapolation of soil mapping models A. Nenkam et al. 10.1111/ejss.13285
436. 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
437. 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
438. The pace of life for forest trees L. Bialic-Murphy et al. 10.1126/science.adk9616
439. Assessing Soil Biodiversity Potentials in China: A Multi-Attribute Decision Approach Q. Yang et al. 10.3390/agronomy13112822
440. Ecological Indicator Values for Europe (EIVE) 1.0 J. Dengler et al. 10.3897/VCS.98324
441. Species distribution modelling of the yellow-necked mouse, Sylvaemus tauricus, with special reference to Ukraine V. Tytar et al. 10.53452/TU2613
442. 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
443. 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
444. Critical soil moisture thresholds of plant water stress in terrestrial ecosystems Z. Fu et al. 10.1126/sciadv.abq7827
445. 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
446. Climate envelope modeling for ocelot conservation planning: peering inside the black box S. Lehnen & J. Lombardi 10.1002/ecs2.4477
447. Global Atlas of Methane Metabolism Marker Genes in Soil Y. Ou et al. 10.1021/acs.est.4c02827
448. 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
449. Opportunities for Adaptation to Climate Change of Extensively Grazed Pastures in the Central Apennines (Italy) E. Bellini et al. 10.3390/land12020351
450. 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
451. Soil and Climate Characterization to Define Environments for Summer Crops in Senegal C. Hernández et al. 10.3390/su132111739
452. Achieving conservation targets by jointly addressing climate change and biodiversity loss J. Suraci et al. 10.1002/ecs2.4490
453. Soil Classification Mapping Using a Combination of Semi-Supervised Classification and Stacking Learning (SSC-SL) F. Zhu et al. 10.3390/rs16020405
454. 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
455. Österreichweite Regionalisierung bodenhydraulischer Eigenschaften H. Zeitfogel et al. 10.1007/s00506-022-00842-z
456. A review on digital mapping of soil carbon in cropland: progress, challenge, and prospect H. Huang et al. 10.1088/1748-9326/aca41e
457. Nitrogen, phosphorus, and potassium co‐limitation in terrestrial ecosystems: A global meta‐analysis J. Fang et al. 10.1002/ppp3.10524
458. Predicting streamflow with LSTM networks using global datasets K. Wilbrand et al. 10.3389/frwa.2023.1166124
459. Phytodiversity is associated with habitat heterogeneity from Eurasia to the Hengduan Mountains Y. Chang et al. 10.1111/nph.19206
460. 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
461. 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
462. Machine learning enhances prediction of plants as potential sources of antimalarials A. Richard-Bollans et al. 10.3389/fpls.2023.1173328
463. Fractional Richness: An index for camera trap networks L. Berman et al. 10.1016/j.ecolind.2024.112266
464. Identifying the multiple drivers of cactus diversification J. Thompson et al. 10.1038/s41467-024-51666-2
465. 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
466. Combining production ecology principles with random forest to model potato yield in China Q. Huang et al. 10.1016/j.fcr.2024.109619
467. 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
468. Upscaling field-measured seasonal ground vegetation patterns with Sentinel-2 images in boreal ecosystems Y. Pang et al. 10.1080/01431161.2023.2234093
469. 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
470. 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
471. 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
472. 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
473. Accessing and modelling soil organic carbon stocks in Prairies, Savannas, and forests D. Ruiz Potma Gonçalves et al. 10.1016/j.catena.2024.108219
474. Biocrusts modulate carbon losses under warming across global drylands: A bayesian meta-analysis J. Sun et al. 10.1016/j.soilbio.2023.109214
475. 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
476. 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
477. Comparative assessment of SoilGrids system with regional soil data for advancing ecosystem reporting in Bulgaria L. Stoeva & M. Zhiyanski 10.3897/oneeco.9.e133091
478. 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
479. Ein Simulationsmodell zur Erfassung von Abflussrisiken in der Landwirtschaft S. Wendland et al. 10.1007/s00287-023-01522-2
480. 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
481. Evaluating the extrapolation potential of random forest digital soil mapping F. Hateffard et al. 10.1016/j.geoderma.2023.116740
482. Global soil profiles indicate depth-dependent soil carbon losses under a warmer climate M. Wang et al. 10.1038/s41467-022-33278-w
483. Integrated crop and livestock systems increase both climate change adaptation and mitigation capacities M. Delandmeter et al. 10.1016/j.scitotenv.2023.169061
484. Spatially explicit modeling of the probability of land abandonment in the Spanish Pyrenees P. Gelabert et al. 10.1016/j.landurbplan.2022.104487
485. Improvement in Dust Storm Simulation by Considering Stone Coverage Effects for Stony Deserts in East Asia T. Sekiyama et al. 10.1029/2022JD037295
486. Major overlap in plant and soil organic carbon hotspots across Africa N. Kebonye et al. 10.1016/j.scitotenv.2024.175476
487. 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
488. Mapping Topsoil Behavior to Compaction at National Scale from an Analysis of Field Observations A. Richer-de-Forges et al. 10.3390/land13071014
489. Baseline high-resolution maps of organic carbon content in Australian soils A. Wadoux et al. 10.1038/s41597-023-02056-8
490. Patterns ofGrewia(Malvaceae) diversity across geographical scales in Africa and Madagascar N. Karimi & M. Hanes 10.1093/aob/mcae009
491. Mapping Soil Depth in Sri Lanka Using Statistical and Machine Learning Models E. Jahanshiri et al. 10.2139/ssrn.4016391
492. 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
493. 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
494. Prediction of future potential distributions of Pinus yunnanensis varieties under climate change J. Feng et al. 10.3389/ffgc.2023.1308416
495. Environmental Filters Structure Cushion Bogs’ Floristic Composition along the Southern South American Latitudinal Gradient F. Figueroa-Ponce & L. Hinojosa 10.3390/plants13162202
496. Imprints of land use history and disturbance regime in phylogenetic diversity of Mediterranean plant communities A. Mastrogianni et al. 10.1002/ecs2.4972
497. 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
498. 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
499. Hydrological model skills change with drought severity; insights from multi-variable evaluation G. Bruno et al. 10.1016/j.jhydrol.2024.131023
500. Soil Reflectance Composites—Improved Thresholding and Performance Evaluation U. Heiden et al. 10.3390/rs14184526
501. Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale H. Vazirani et al. 10.3390/s24227317
502. Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data M. Celik et al. 10.1109/LGRS.2023.3303643
503. 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
504. Shapley values reveal the drivers of soil organic carbon stock prediction A. Wadoux et al. 10.5194/soil-9-21-2023
505. Unveiling the main drivers of tree decline in Zagros semi-arid forests E. Shafeian et al. 10.1093/forestry/cpae048
506. Interrogating Genomes and Geography to Unravel Multiyear Vesicular Stomatitis Epizootics J. Humphreys et al. 10.3390/v16071118
507. Classification of alpine grasslands in the western Tian Shan Mountains (Kyrgyzstan, Middle Asia) G. Swacha et al. 10.5586/asbp/169036
508. 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
509. Evaluating small‐scale harvesting disturbance to the forest soil in Mediterranean beech high forests F. Latterini et al. 10.1002/ldr.5228
510. 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
511. 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
512. An audacious approach to conservation R. Ewers 10.1016/j.tree.2024.07.003
513. 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
514. Multiresource Pastoralism, Dynamic Foodways, and Ancient Statecraft in Mongolia W. Honeychurch et al. 10.3390/land12091715
515. Large Soil Carbon Storage in Terrestrial Ecosystems of Canada C. Sothe et al. 10.1029/2021GB007213
516. Assessing the scientific value and vulnerability of paleontological sites: a new analytic operational procedure A. Faggi et al. 10.3389/feart.2023.1163280
517. 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
518. 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
519. Quantifying elemental diversity to study landscape ecosystem function A. McLeod et al. 10.1016/j.tree.2024.09.007
520. 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
521. 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
522. 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
523. CLSoilMaps: A national soil gridded database of physical and hydraulic soil properties for Chile D. Dinamarca et al. 10.1038/s41597-023-02536-x
524. Biodiversity buffers the response of spring leaf unfolding to climate warming P. Shen et al. 10.1038/s41558-024-02035-w
525. A Comprehensive Evaluation of Machine Learning Algorithms for Digital Soil Organic Carbon Mapping on a National Scale D. Radočaj et al. 10.3390/app14219990
526. 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
527. Ecological niche modeling of the main forest-forming species in the Caucasus R. Pshegusov et al. 10.1016/j.fecs.2022.100019
528. 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
529. 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
530. 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
531. Vorhersage von hydrologischen Abflusskennwerten in unbeobachteten Einzugsgebieten mit Machine Learning C. Klingler et al. 10.1007/s00506-022-00891-4
532. To what extent does river routing matter in hydrological modeling? N. Cortés-Salazar et al. 10.5194/hess-27-3505-2023
533. 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
534. 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
535. 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
536. 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
537. 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
538. 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
539. The distribution and drivers of tree cover in savannas and forests across India T. Gopalakrishna et al. 10.1038/s43247-024-01568-4
540. Environmental spaces for palsas and peat plateaus are disappearing at a circumpolar scale O. Leppiniemi et al. 10.5194/tc-17-3157-2023
541. 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
542. Controls over Fire Characteristics in Siberian Larch Forests E. Webb et al. 10.1007/s10021-024-00927-8
543. Satellite-enabled enviromics to enhance crop improvement R. Resende et al. 10.1016/j.molp.2024.04.005
544. Combining Digital Covariates and Machine Learning Models to Predict the Spatial Variation of Soil Cation Exchange Capacity F. Kaya et al. 10.3390/land12040819
545. 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
546. Soil moisture at 30 m from multiple satellite datasets fused by random forest J. Ning et al. 10.1016/j.jhydrol.2023.130010
547. Analysis of Climate Change Impacts on Agricultural Water Availability in Cimanuk Watershed, Indonesia N. Heryani et al. 10.3390/su142316236
548. Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems L. Liu et al. 10.1038/s41467-023-43860-5
549. An Open Soil Health Assessment Framework Facilitating Sustainable Soil Management G. Ros et al. 10.1021/acs.est.2c04516
550. 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
551. 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
552. 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
553. 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
554. 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
555. Ensemble modelling-based pedotransfer functions for predicting soil bulk density in China Z. Chen et al. 10.1016/j.geoderma.2024.116969
556. 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
557. European Soil Data Centre 2.0: Soil data and knowledge in support of the EU policies P. Panagos et al. 10.1111/ejss.13315
558. 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
559. Multi-objective Allocation Optimization of Soil Conservation Measures Under Data Uncertainty M. Hildemann et al. 10.1007/s00267-023-01837-6
560. Impact of interannual and multidecadal trends on methane-climate feedbacks and sensitivity C. Cheng & S. Redfern 10.1038/s41467-022-31345-w
561. Upscaling Soil Organic Carbon Measurements at the Continental Scale Using Multivariate Clustering Analysis and Machine Learning Z. Wang et al. 10.1029/2023JG007702
562. Nitrogen deposition suppresses soil respiration by reducing global belowground activity W. Xiao et al. 10.1016/j.scitotenv.2024.171246
563. 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
564. Probabilistic reconstruction via machine-learning of the Po watershed aquifer system (Italy) A. Manzoni et al. 10.1007/s10040-023-02677-8
565. 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
566. Prediction of habitat suitability for Patrinia sibirica Juss. in the Southern Urals N. Fedorov et al. 10.1038/s41598-021-99018-0
567. Improving model parsimony and accuracy by modified greedy feature selection in digital soil mapping X. Zhang et al. 10.1016/j.geoderma.2023.116383
568. Digital soil mapping in the Russian Federation: A review A. Suleymanov et al. 10.1016/j.geodrs.2024.e00763
569. How well does digital soil mapping represent soil geography? An investigation from the USA D. Rossiter et al. 10.5194/soil-8-559-2022
570. 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
571. Monitoring changes in global soil organic carbon stocks from space J. Padarian et al. 10.1016/j.rse.2022.113260
572. 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
573. Drivers of Soil Organic Carbon Spatial Distribution in the Southern Ural Mountains: A Machine Learning Approach A. Suleymanov et al. 10.1134/S1064229324602014
574. 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
575. Identifying opportunities to improve digital soil mapping in India: A systematic review P. Dash et al. 10.1016/j.geodrs.2021.e00478
576. Spatial assessment of topsoil zinc concentrations in Europe E. Van Eynde et al. 10.1016/j.scitotenv.2023.164512
577. Exploring soil property spatial patterns in a small grazed catchment using machine learning J. Barrena-González et al. 10.1007/s12145-023-01125-1
578. 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
579. 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
580. 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
581. A Global Synthesis of Multi‐Factors Affecting Water Storage Capacity in Forest Canopy, Litter and Soil Layers Y. Liu et al. 10.1029/2022GL099888
582. Historical and future variation of soil organic carbon in China Z. Zhang et al. 10.1016/j.geoderma.2023.116557
583. Environmental Response of Tree Species Distribution in Northeast China with the Joint Species Distribution Model J. Yong et al. 10.3390/f15061026
584. 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
585. Soil Moisture-Derived SWDI at 30 m Based on Multiple Satellite Datasets for Agricultural Drought Monitoring J. Ning et al. 10.3390/rs16183372
586. The phylogeographic journey of a plant species from lowland to highlands during the Pleistocene L. Soares & L. Freitas 10.1038/s41598-024-53414-4
587. Modelling the impacts of water harvesting and climate change on rainfed maize yields in Senegal A. Setti et al. 10.4081/jae.2023.1524
588. 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
589. Climate change threatens the future viability of translocated populations J. Bellis et al. 10.1111/ddi.13795
590. Spatially Explicit Soil Acidification under Optimized Fertilizer Use in Sub-Saharan Africa Y. Uwiragiye et al. 10.3390/agronomy13030632
591. High-resolution agriculture soil property maps from digital soil mapping methods, Czech Republic D. Žížala et al. 10.1016/j.catena.2022.106024
592. Enhancing WOFOST crop model with unscented Kalman filter assimilation of leaf area index O. Belozerova 10.1080/19479832.2023.2287037
593. 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
594. Modeling the Agricultural Soil Landscape of Germany—A Data Science Approach Involving Spatially Allocated Functional Soil Process Units M. Ließ 10.3390/agriculture12111784
595. 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
596. 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
597. 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
598. 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
599. Lessons from a regional analysis of forest recovery trajectories in West Africa B. Amani et al. 10.1088/1748-9326/ac9b4f
600. 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
601. Prototype Biodiversity Digital Twin: grassland biodiversity dynamics F. Taubert et al. 10.3897/rio.10.e124168
602. Modeling shallow soil moisture dynamics in mountainous landslide active regions J. Dai & S. Cheng 10.3389/fenvs.2022.913059
603. 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
604. Management interventions of pearl millet systems for attaining cereal self-sufficiency in Senegal N. Vieira Junior et al. 10.3389/fsufs.2023.1281496
605. 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
606. The effect of global warming on the Australian endemic orchid Cryptostylis leptochila and its pollinator M. Kolanowska et al. 10.1371/journal.pone.0280922
607. 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
608. Prediction and mapping the productivity of eucalyptus clones with environmental covariates L. da Costa et al. 10.1007/s11295-024-01656-8
609. 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
610. 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
611. 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
612. 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
613. 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
614. 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
615. Dietary change in high-income nations alone can lead to substantial double climate dividend Z. Sun et al. 10.1038/s43016-021-00431-5
616. 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
617. 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
618. 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
619. The Role of Atmospheric Circulation in Favouring Forest Fires in the Extreme Southern Portugal C. Purificação et al. 10.3390/su16166985
620. Fine-resolution mapping of cropland topsoil pH of Southern China and its environmental application B. Hu et al. 10.1016/j.geoderma.2024.116798
621. 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
622. Mapping Surface Organic Soil Properties in Arctic Tundra Using C-Band SAR Data Y. Yi et al. 10.1109/JSTARS.2023.3236117
623. Improving digital mapping of soil organic matter in cropland by incorporating crop rotation Y. Liu et al. 10.1016/j.geoderma.2023.116620
624. Strategies for managing spring frost risks in orchards: effectiveness and conditionality—a systematic review B. Drepper et al. 10.1186/s13750-022-00281-z
625. 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
626. 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
627. Distribuição geográfica potencial do araticum (Annona crassiflora) P. Martins 10.55905/cuadv15n2-040
628. 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
629. 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
630. OWEFE—open modeling framework for integrated water, energy, food, and environment systems J. Fleischmann et al. 10.1088/2634-4505/acbcee
631. Effects of Landslides on Terrestrial Carbon Stocks With a Coupled Geomorphic‐Biologic Model: Southeast Alaska, United States A. Booth et al. 10.1029/2022JG007297
632. 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
633. Soil Sampling Map Optimization with a Dual Deep Learning Framework T. Pham & K. Nguyen 10.3390/make6020035
634. Connecting the multiple dimensions of global soil fungal diversity V. Mikryukov et al. 10.1126/sciadv.adj8016
635. 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
636. 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
637. 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
638. 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
639. Remote Sensing Data for Digital Soil Mapping in French Research—A Review A. Richer-de-Forges et al. 10.3390/rs15123070
640. Geospatial model for allocating favorable plots for groundwater-dependent cultivation activities in Egypt A. Shalby et al. 10.1016/j.ejrs.2023.07.014
641. Organic carbon stocks, quality and prediction in permafrost-affected forest soils in North Canada M. Schiedung et al. 10.1016/j.catena.2022.106194
642. The implementation of dust mineralogy in COSMO5.05-MUSCAT S. Gómez Maqueo Anaya et al. 10.5194/gmd-17-1271-2024
643. 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
644. Random forest machine learning for maize yield and agronomic efficiency prediction in Ghana E. Asamoah et al. 10.1016/j.heliyon.2024.e37065
645. Global variation in soil carbon sequestration potential through improved cropland management M. Lessmann et al. 10.1111/gcb.15954
646. Towards Incorporation of Blue Carbon in Falkland Islands Marine Spatial Planning: A Multi-Tiered Approach N. Bax et al. 10.3389/fmars.2022.872727
647. A unified framework to investigate and interpret hybrid and allopolyploid biodiversity across biological scales C. Krieg 10.1002/aps3.11612
648. 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
649. 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
650. 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
651. Remote sensing of soil degradation: Progress and perspective J. Wang et al. 10.1016/j.iswcr.2023.03.002
652. Digital soil mapping of soil burn severity S. Wilson & S. Prentice 10.1002/saj2.20702
653. 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
654. 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
655. 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
656. 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
657. 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
658. A novel local-global dependency deep learning model for soil mapping Q. Li et al. 10.1016/j.geoderma.2023.116649
659. Implementation of mineralogy in COSMO5.05–MUSCAT and model dust loading comparison with measurements S. Gómez Maqueo Anaya et al. 10.1051/e3sconf/202457502007
660. Soils in war and peace Y. Dmytruk et al. 10.1080/00207233.2022.2152254
661. 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
662. Drainage assessment of irrigation districts: on the precision and accuracy of four parsimonious models P. Laluet et al. 10.5194/hess-28-3695-2024
663. 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
664. 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
665. Exploring the inter-decadal variability of soil organic carbon in China Z. Zhang et al. 10.1016/j.catena.2023.107242
666. Global polygons for terrain classification divided into uniform slopes and basins J. Iwahashi & D. Yamazaki 10.1186/s40645-022-00487-2
667. 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
668. 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
669. 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
670. 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
671. 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
672. Vulnerability of cocoa-based agroforestry systems to climate change in West Africa A. Ariza-Salamanca et al. 10.1038/s41598-023-37180-3
673. 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
674. 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
675. 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
676. Spatiotemporal variability of the potential wind erosion risk in Southern Africa between 2005 and 2019 F. Kestel et al. 10.1002/ldr.4659
677. Forest biomes of Southern Africa L. Mucina et al. 10.1080/0028825X.2021.1960383
678. Climate change impacts on tree crop suitability in Southeast Asia J. Appelt et al. 10.1007/s10113-023-02111-5
679. Global Soil Salinity Estimation at 10 m Using Multi-Source Remote Sensing N. Wang et al. 10.34133/remotesensing.0130
680. 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
681. 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
682. An Independent Validation of SoilGrids Accuracy for Soil Texture Components in Croatia D. Radočaj et al. 10.3390/land12051034
683. Inferring Land Conditions in the Tumen River Basin by Trend Analysis Based on Satellite Imagery and Geoinformation H. Yu & L. Li 10.3390/su14095687
684. Spatial patterns and determinants of avocado frontier dynamics in Mexico D. Ramírez-Mejía et al. 10.1007/s10113-022-01883-6
685. 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
686. 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
687. A Comparison, Validation, and Evaluation of the S-world Global Soil Property Database J. Stoorvogel & V. Mulder 10.3390/land10050544
688. 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
689. 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
690. Frontiers in soil ecology—Insights from the World Biodiversity Forum 2022 N. Eisenhauer et al. 10.1002/sae2.12031
691. 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