485 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. 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
4. Soil salinity dynamics in arid oases during irrigated and non‐irrigated seasons C. Zhu et al. 10.1002/ldr.4632
5. 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
6. A global dataset on phosphorus in agricultural soils B. Ringeval et al. 10.1038/s41597-023-02751-6
7. Soil bulk density assessment in Europe P. Panagos et al. 10.1016/j.agee.2024.108907
8. Automatic Regionalization of Model Parameters for Hydrological Models M. Feigl et al. 10.1029/2022WR031966
9. National soil organic carbon map of agricultural lands in Nepal S. Lamichhane et al. 10.1016/j.geodrs.2022.e00568
10. Geographic Variation in Migratory Grasshopper Recruitment under Projected Climate Change J. Humphreys et al. 10.3390/geographies2010003
11. 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
12. Connecting dryland fine-fuel assessments to wildfire exposure and natural resource values at risk A. Wells et al. 10.1186/s42408-023-00196-1
13. 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
14. 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
15. Mapping soil organic carbon stocks in Nepal’s forests S. Khanal et al. 10.1038/s41598-023-34247-z
16. 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
17. A meta‐analysis highlights globally widespread potassium limitation in terrestrial ecosystems B. Chen et al. 10.1111/nph.19294
18. 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
19. 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
20. Recalibration of existing pedotransfer functions to estimate soil bulk density at a regional scale H. Khodaverdiloo et al. 10.1111/ejss.13244
21. 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
22. Pre‐adaptation and adaptation shape trait‐environment matching in the Neotropics F. Velásquez‐Puentes et al. 10.1111/geb.13730
23. Evolutionary and ecological forces shape nutrient strategies of mycorrhizal woody plants L. Guo et al. 10.1111/ele.14330
24. Niche modelling predicts that soil fungi occupy a precarious climate in boreal forests C. Qin et al. 10.1111/geb.13684
25. 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
26. Mapping Brazilian soil mineralogy using proximal and remote sensing data N. Rosin et al. 10.1016/j.geoderma.2023.116413
27. ‘Fly to a Safer North’: Distributional Shifts of the Orchid Ophrys insectifera L. Due to Climate Change M. Charitonidou et al. 10.3390/biology11040497
28. Resource availability and disturbance frequency shape evolution of plant life forms in Neotropical habitats L. Prochazka et al. 10.1111/nph.19601
29. High-Resolution Ammonia Emissions from Nitrogen Fertilizer Application in China during 2005–2020 Y. Chen et al. 10.3390/atmos13081297
30. Accounting for analytical and proximal soil sensing errors in digital soil mapping B. Takoutsing et al. 10.1111/ejss.13226
31. Global patterns in endemicity and vulnerability of soil fungi L. Tedersoo et al. 10.1111/gcb.16398
32. A weakly supervised framework for high-resolution crop yield forecasts D. Paudel et al. 10.1088/1748-9326/acf50e
33. Satellite Remote Sensing of Savannas: Current Status and Emerging Opportunities A. Abdi et al. 10.34133/2022/9835284
34. Geospatial prediction of total soil carbon in European agricultural land based on deep learning D. Radočaj et al. 10.1016/j.scitotenv.2023.169647
35. 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
36. Pedology of archaeological stone-wall bench terraces D. Itkin et al. 10.1016/j.geoderma.2022.116129
37. Forest aboveground biomass estimation by GEDI and multi-source EO data fusion over Indian forest J. Mohite et al. 10.1080/01431161.2024.2307944
38. Revealing the hidden carbon in forested wetland soils A. Stewart et al. 10.1038/s41467-024-44888-x
39. Mapping and monitoring peatland conditions from global to field scale B. Minasny et al. 10.1007/s10533-023-01084-1
40. Tier 4 maps of soil pH at 25 m resolution for the Netherlands A. Helfenstein et al. 10.1016/j.geoderma.2021.115659
41. 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
42. Releasing global forests from human management: How much more carbon could be stored? C. Roebroek et al. 10.1126/science.add5878
43. 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
44. 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
45. On-Site Soil Monitoring Using Photonics-Based Sensors and Historical Soil Spectral Libraries K. Karyotis et al. 10.3390/rs15061624
46. CSDMS Data Components: data–model integration tools for Earth surface processes modeling T. Gan et al. 10.5194/gmd-17-2165-2024
47. 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
48. 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
49. 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
50. Identification of Groundwater Potential Recharge and Recharge Zones of Tumakuru District Using GIS S. Gubbi Ratna et al. 10.1007/s40030-023-00762-5
51. The Role of Remote Sensing Data and Methods in a Modern Approach to Fertilization in Precision Agriculture D. Radočaj et al. 10.3390/rs14030778
52. Global patterns and driving factors of plant litter iron, manganese, zinc, and copper concentrations Y. Peng et al. 10.1016/j.scitotenv.2022.159686
53. Ecological and biological indicators of the accuracy of species distribution models: lessons from European bryophytes F. Collart et al. 10.1111/ecog.06721
54. Optimizing Sampling Strategies for Near-Surface Soil Carbon Inventory: One Size Doesn’t Fit All C. Bettigole et al. 10.3390/soilsystems7010027
55. Improving pedotransfer functions for predicting soil mineral associated organic carbon by ensemble machine learning Y. Xiao et al. 10.1016/j.geoderma.2022.116208
56. Potential Satellite Monitoring of Surface Organic Soil Properties in Arctic Tundra From SMAP Y. Yi et al. 10.1029/2021WR030957
57. 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
58. Abiotic factors impact on oak forest decline in Lorestan Province, Western Iran S. Mehri et al. 10.1038/s41598-024-54551-6
59. 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
60. Thermokarst lake susceptibility assessment using machine learning models in permafrost landscapes of the Arctic R. Wang et al. 10.1016/j.scitotenv.2023.165709
61. 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
62. 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
63. Optimized modelling of countrywide soil organic carbon levels via an interpretable decision tree N. Kebonye et al. 10.1016/j.atech.2022.100106
64. 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
65. 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
66. 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
67. 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
68. 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
69. 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
70. Sedimentary organic carbon storage of thermokarst lakes and ponds across Tibetan permafrost region Z. Wei et al. 10.1016/j.scitotenv.2022.154761
71. 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
72. Vegetation‐Promoted Soil Structure Inhibits Hydrologic Landslide Triggering and Alters Carbon Fluxes L. Fan et al. 10.1029/2022GL100389
73. Identification of groundwater potential zones in data-scarce mountainous region using explainable machine learning K. Dahal et al. 10.1016/j.jhydrol.2023.130417
74. Earthworms contribute significantly to global food production S. Fonte et al. 10.1038/s41467-023-41286-7
75. Modeling potential site productivity for Austrocedrus chilensis trees in northern Patagonia (Argentina) F. Oddi et al. 10.1016/j.foreco.2022.120525
76. Genomic insights into local adaptation and vulnerability of Quercus longinux to climate change P. Sun et al. 10.1186/s12870-024-04942-8
77. 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
78. 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
79. 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
80. Ecological landscape explains aquifers microbial structure F. Barbosa et al. 10.1016/j.scitotenv.2022.160822
81. Soil Information on a Regional Scale: Two Machine Learning Based Approaches for Predicting Ksat H. Zeitfogel et al. 10.2139/ssrn.4143185
82. Spatial predictions of maize yields using QUEFTS – A comparison of methods M. Breure et al. 10.1016/j.geoderma.2022.116018
83. 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
84. 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
85. Implications of zero-deforestation palm oil for tropical grassy and dry forest biodiversity S. Fleiss et al. 10.1038/s41559-022-01941-6
86. A Modeling Framework to Frame a Biological Invasion: Impatiens glandulifera in North America O. Kanmaz et al. 10.3390/plants12071433
87. 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
88. National soil data in EU countries, where do we stand? S. Cornu et al. 10.1111/ejss.13398
89. 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
90. 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
91. Assessing Temporal Trade-Offs of Ecosystem Services by Production Possibility Frontiers W. Jiang et al. 10.3390/rs15030749
92. Climate change causes spatial shifts in the productivity of agricultural long-term field experiments C. Donmez et al. 10.1016/j.eja.2024.127121
93. Prediction and Uncertainty Capabilities of Quantile Regression Forests in Estimating Spatial Distribution of Soil Organic Matter M. Nikou & P. Tziachris 10.3390/ijgi11020130
94. 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
95. 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
96. Assessing spatially heterogeneous scale representation with applied digital soil mapping D. Newman et al. 10.1016/j.envsoft.2022.105612
97. 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
98. Mapping forest site quality at national level A. Aguirre et al. 10.1016/j.foreco.2022.120043
99. 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
100. 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
101. The prevalent life cycle of agricultural flash droughts M. Lovino et al. 10.1038/s41612-024-00618-0
102. SAGAscape: Simulating Resource Exploitation Strategies in Iron Age to Hellenistic Communities in Southwest Anatolia S. Boogers & D. Daems 10.5334/jcaa.90
103. 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
104. 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
105. 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
106. Colombian soil texture: building a spatial ensemble model V. Varón-Ramírez et al. 10.5194/essd-14-4719-2022
107. 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
108. Spatio-Temporal Variations in Soil pH and Aluminum Toxicity in Sub-Saharan African Croplands (1980–2050) Y. Uwiragiye et al. 10.3390/rs15051338
109. 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
110. 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
111. 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
112. 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
113. 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
114. 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
115. Topoedaphic constraints on woody plant cover in a semi-arid grassland S. Jones et al. 10.1016/j.ecolind.2023.110226
116. Degradation of ice-wedge polygons leads to increased fluxes of water and DOC N. Speetjens et al. 10.1016/j.scitotenv.2024.170931
117. Machine learning may accelerate the recognition and control of microplastic pollution: Future prospects F. Yu & X. Hu 10.1016/j.jhazmat.2022.128730
118. Remote Sensing Prediction Model of Cultivated Land Soil Organic Matter Considering the Best Time Window Y. Wang et al. 10.3390/su15010469
119. 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
120. Toward Robust Parameterizations in Ecosystem‐Level Photosynthesis Models S. Bao et al. 10.1029/2022MS003464
121. 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
122. A Multiscale Cost–Benefit Analysis of Digital Soil Mapping Methods for Sustainable Land Management D. Radočaj et al. 10.3390/su141912170
123. Life history strategies of soil bacterial communities across global terrestrial biomes G. Piton et al. 10.1038/s41564-023-01465-0
124. 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
125. Headwater refuges: Flow protects Austropotamobius crayfish from Faxonius limosus invasion A. Satmari et al. 10.3897/neobiota.89.110085
126. Global and regional soil organic carbon estimates: Magnitude and uncertainties Z. LIN et al. 10.1016/j.pedsph.2023.06.005
127. 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
128. 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
129. Farm vehicles approaching weights of sauropods exceed safe mechanical limits for soil functioning T. Keller & D. Or 10.1073/pnas.2117699119
130. 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
131. 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
132. Mapping Soil Organic Carbon in Floodplain Farmland: Implications of Effective Range of Environmental Variables Z. Wu et al. 10.3390/land12061198
133. An advanced global soil erodibility (K) assessment including the effects of saturated hydraulic conductivity S. Gupta et al. 10.1016/j.scitotenv.2023.168249
134. 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
135. 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
136. 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
137. 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
138. Sentinel-1 Imagery Used for Estimation of Soil Organic Carbon by Dual-Polarization SAR Vegetation Indices E. Santos et al. 10.3390/rs15235464
139. 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
140. New geomorphometric variables for non-continuous hillslopes – Assessing the value for digital soil mapping A. Temme et al. 10.1016/j.geoderma.2022.115848
141. A global map of root biomass across the world's forests Y. Huang et al. 10.5194/essd-13-4263-2021
142. Global crop production increase by soil organic carbon Y. Ma et al. 10.1038/s41561-023-01302-3
143. Soil moisture content retrieval from Landsat 8 data using ensemble learning Y. Zhang et al. 10.1016/j.isprsjprs.2022.01.005
144. 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
145. 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
146. 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
147. Mapping high resolution National Soil Information Grids of China F. Liu et al. 10.1016/j.scib.2021.10.013
148. 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
149. Global Soil Salinity Prediction by Open Soil Vis-NIR Spectral Library Y. Zhou et al. 10.3390/rs14215627
150. International demand for food and services drives environmental footprints of pesticide use F. Tang et al. 10.1038/s43247-022-00601-8
151. 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
152. 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
153. Chemical Mixtures and Multiple Stressors: Same but Different? R. Schäfer et al. 10.1002/etc.5629
154. 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
155. Earth Observation Data-Driven Cropland Soil Monitoring: A Review N. Tziolas et al. 10.3390/rs13214439
156. Global patterns and abiotic drivers of ecosystem multifunctionality in dominant natural ecosystems Y. Wang et al. 10.1016/j.envint.2022.107480
157. 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
158. Remote sensing of the Earth's soil color in space and time R. Rizzo et al. 10.1016/j.rse.2023.113845
159. Seasonal Biotic Processes Vary the Carbon Turnover by Up To One Order of Magnitude in Wetlands C. Pasut et al. 10.1029/2022GB007679
160. 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
161. 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
162. 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
163. 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
164. Reference maps of soil phosphorus for the pan-Amazon region J. Darela-Filho et al. 10.5194/essd-16-715-2024
165. 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
166. 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
167. Semi-supervised learning for the spatial extrapolation of soil information R. Taghizadeh-Mehrjardi et al. 10.1016/j.geoderma.2022.116094
168. High-resolution mapping of soil carbon stocks in the western Amazon C. Moquedace et al. 10.1016/j.geodrs.2024.e00773
169. Mapping of Soil Organic Carbon Stocks Based on Aerial Photography in a Fragmented Desertification Landscape J. Lian et al. 10.3390/rs14122829
170. Management-induced changes in soil organic carbon on global croplands K. Karstens et al. 10.5194/bg-19-5125-2022
171. 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
172. 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
173. Disentangling coastal groundwater level dynamics in a global dataset A. Nolte et al. 10.5194/hess-28-1215-2024
174. 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
175. 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
176. 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
177. Assessing the utility of SoilGrids250 for biogeographic inference of plant populations T. Miller et al. 10.1002/ece3.10986
178. Global soil erodibility factor (K) mapping and algorithm applicability analysis M. Yang et al. 10.1016/j.catena.2024.107943
179. 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
180. Contrasting invasion patterns of two closely related Solidago alien species K. Skokanová et al. 10.1111/jbi.14785
181. 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
182. Geodiversity data for Europe M. Toivanen et al. 10.1098/rsta.2023.0173
183. 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
184. Application of Deep Convolutional Networks for Improved Risk Assessments of Post-Wildfire Drinking Water Contamination A. Schmidt et al. 10.2139/ssrn.4132138
185. 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
186. 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
187. An inverse dielectric mixing model at 50 MHz that considers soil organic carbon C. Park et al. 10.5194/hess-25-6407-2021
188. 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
189. 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
190. Predicting the Habitat Suitability for Angelica gigas Medicinal Herb Using an Ensemble Species Distribution Model J. Jung et al. 10.3390/f14030592
191. Grassland degradation by shrub encroachment: Mapping patterns and drivers of encroachment in Kyrgyzstan E. Khazieva et al. 10.1016/j.jaridenv.2022.104849
192. Explainable artificial intelligence in geoscience: A glimpse into the future of landslide susceptibility modeling A. Dahal & L. Lombardo 10.1016/j.cageo.2023.105364
193. 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
194. 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
195. 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
196. Carbon Farming practices assessment: Modelling spatial changes of Soil Organic Carbon in Flanders, Belgium S. Spotorno et al. 10.1016/j.scitotenv.2024.171267
197. 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
198. 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
199. 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
200. Habitat preferences, spatial distribution and current population status of endangered giant flower Amorphophallus titanum A. Yudaputra et al. 10.1007/s10531-022-02366-0
201. Climate-sensitive spatial variability of soil organic carbon in multiple forests, Central China C. Shen et al. 10.1016/j.gecco.2023.e02555
202. Measurement error-filtered machine learning in digital soil mapping S. van der Westhuizen et al. 10.1016/j.spasta.2021.100572
203. 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
204. Machine Learning Techniques for Estimating Hydraulic Properties of the Topsoil across the Zambezi River Basin M. Kalumba et al. 10.3390/land11040591
205. Thermokarst Lake Susceptibility Assessment Induced by Permafrost Degradation in the Qinghai–Tibet Plateau Using Machine Learning Methods R. Wang et al. 10.3390/rs15133331
206. 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
207. Can Thailand Protect 30% of Its Land Area for Biodiversity, and Will This Be Enough? N. Pomoim et al. 10.3390/d14050344
208. Early Crop Mapping Using Dynamic Ecoregion Clustering: A USA-Wide Study Y. Wang et al. 10.3390/rs15204962
209. Uncertainty of spatial averages and totals of natural resource maps A. Wadoux & G. Heuvelink 10.1111/2041-210X.14106
210. Grain-cropping suitability for evaluating the agricultural land use change in Brazil J. Safanelli et al. 10.1016/j.apgeog.2023.102937
211. Patterns, Dynamics, and Drivers of Soil Available Nitrogen and Phosphorus in Alpine Grasslands across the QingZang Plateau Y. He et al. 10.3390/rs14194929
212. 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
213. Bioclimatic Factors and Ecogeographical Patterns in the Distribution of the Rare Species Hedysarum grandiflorum Pall. L. Abramova et al. 10.1134/S1995425524010013
214. Data-driven similar response units for agricultural technology targeting: An example from Ethiopia L. Tamene et al. 10.1017/S0014479722000126
215. 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
216. Impact of Ice-Storms and Subsequent Salvage Logging on the Productivity of Cunninghamia lanceolata (Chinese Fir) Forests Y. Zhu et al. 10.3390/f13020296
217. 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
218. Soil assessment in Denmark: Towards soil functional mapping and beyond L. Gomes et al. 10.3389/fsoil.2023.1090145
219. Geographic variation in phenotypic divergence between two hybridizing field cricket species A. Byerly et al. 10.3897/jor.32.90713
220. 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
221. Distribution, Characterization and the Commercialization of Elite Rhizobia Strains in Africa C. Wekesa et al. 10.3390/ijms23126599
222. An Independent Validation of SoilGrids Accuracy for Soil Texture Components in Croatia D. Radočaj et al. 10.3390/land12051034
223. Global distribution and climate sensitivity of the tropical montane forest nitrogen cycle J. Gay et al. 10.1038/s41467-022-35170-z
224. Mapping global nitrogen deposition impacts on soil respiration C. Chen & H. Chen 10.1016/j.scitotenv.2023.161986
225. Functional and ecological diversification of underground organs in Solanum E. Gagnon et al. 10.3389/fgene.2023.1231413
226. 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
227. 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
228. 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
229. Spatial statistics and soil mapping: A blossoming partnership under pressure G. Heuvelink & R. Webster 10.1016/j.spasta.2022.100639
230. 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
231. Quantifying erosion rates and weathering pathways that maximize soil organic carbon storage J. Roering et al. 10.1007/s10533-023-01054-7
232. 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
233. Integrating additional spectroscopically inferred soil data improves the accuracy of digital soil mapping S. Chen et al. 10.1016/j.geoderma.2023.116467
234. 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
235. Impacts of the Desiccation of the Aral Sea on the Central Asian Dust Life‐Cycle J. Banks et al. 10.1029/2022JD036618
236. 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
237. A Spatial Sample Selection Model* Y. Bao et al. 10.1111/obes.12599
238. Cropland Suitability Assessment Using Satellite-Based Biophysical Vegetation Properties and Machine Learning D. Radočaj et al. 10.3390/agronomy11081620
239. 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
240. 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
241. 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
242. 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
243. Multiscale evaluations of global, national and regional digital soil mapping products in France B. Lemercier et al. 10.1016/j.geoderma.2022.116052
244. 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
245. Ensemble modeling for American chestnut distribution: Locating potential restoration sites in Pennsylvania A. Henderson et al. 10.3389/fevo.2022.942766
246. 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
247. Species distribution models affected by positional uncertainty in species occurrences can still be ecologically interpretable L. Gábor et al. 10.1111/ecog.06358
248. 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
249. 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
250. High-resolution soil organic carbon mapping at the field scale in Southern Belgium (Wallonia) Y. Zhou et al. 10.1016/j.geoderma.2022.115929
251. Digital mapping of GlobalSoilMap soil properties at a broad scale: A review S. Chen et al. 10.1016/j.geoderma.2021.115567
252. Mycorrhizal association and life form dominantly control plant litter lignocellulose concentration at the global scale Y. Peng et al. 10.3389/fpls.2022.926941
253. Carbon dynamics of Western North American boreal forests in response to stand-replacing disturbances L. Yu et al. 10.1016/j.jag.2023.103410
254. A multi-data approach to evaluate progress towards land degradation neutrality in Central Asia E. Khazieva et al. 10.1016/j.ecolind.2023.110529
255. 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
256. A dataset of lake-catchment characteristics for the Tibetan Plateau J. Liu et al. 10.5194/essd-14-3791-2022
257. 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
258. A high-resolution map of soil organic carbon in cropland of Southern China B. Hu et al. 10.1016/j.catena.2024.107813
259. Soil carbon sequestration potential in global croplands J. Padarian et al. 10.7717/peerj.13740
260. Guatemala soil organic carbon database (GTMSOC) A. Vásquez et al. 10.1111/ejss.13450
261. 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
262. The pan-Arctic catchment database (ARCADE) N. Speetjens et al. 10.5194/essd-15-541-2023
263. Shrub richness is primarily driven by climate conditions in Southwestern European woodlands D. Moreno-Fernández et al. 10.1007/s13595-021-01117-5
264. 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
265. Comparing direct and indirect approaches to predicting soil texture class D. Saurette 10.1139/cjss-2022-0040
266. 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
267. 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
268. 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
269. 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
270. Global patterns and drivers of initial plant litter ash concentration Q. Yang et al. 10.1016/j.scitotenv.2022.154702
271. Factors that shape large‐scale gradients in clonality H. Zhang et al. 10.1111/jbi.14577
272. 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
273. 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
274. 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
275. Assessing land suitability for rainfed paddy rice production in Zambia M. Makungwe et al. 10.1016/j.geodrs.2021.e00438
276. RECCAP2 Future Component: Consistency and Potential for Regional Assessment to Constrain Global Projections C. Jones et al. 10.1029/2023AV001024
277. Multivariate random forest for digital soil mapping S. van der Westhuizen et al. 10.1016/j.geoderma.2023.116365
278. The Potential Use of Global Evapotranspiration Products and Models to Estimate Lake Residence Time at Large Scale K. Ding et al. 10.1029/2022WR033148
279. Enhanced dendroprovenancing through high-resolution soil- and climate data M. van Sluijs et al. 10.1016/j.dendro.2024.126180
280. 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
281. Dealing with clustered samples for assessing map accuracy by cross-validation S. de Bruin et al. 10.1016/j.ecoinf.2022.101665
282. Validation of uncertainty predictions in digital soil mapping J. Schmidinger & G. Heuvelink 10.1016/j.geoderma.2023.116585
283. 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
284. 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
285. 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
286. Mapping peat thickness and carbon stock of a degraded peatland in West Sumatra, Indonesia D. Fiantis et al. 10.1111/sum.12954
287. Mapping soil organic carbon stocks in Tunisian topsoils H. Bahri et al. 10.1016/j.geodrs.2022.e00561
288. 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
289. Sample Size Optimization for Digital Soil Mapping: An Empirical Example D. Saurette et al. 10.3390/land13030365
290. 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
291. Mapping the irrecoverable carbon in Earth’s ecosystems M. Noon et al. 10.1038/s41893-021-00803-6
292. 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
293. Identifying causes of crop yield variability with interpretive machine learning E. Jones et al. 10.1016/j.compag.2021.106632
294. 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
295. Using homosoils for quantitative extrapolation of soil mapping models A. Nenkam et al. 10.1111/ejss.13285
296. 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
297. Assessing Soil Biodiversity Potentials in China: A Multi-Attribute Decision Approach Q. Yang et al. 10.3390/agronomy13112822
298. Ecological Indicator Values for Europe (EIVE) 1.0 J. Dengler et al. 10.3897/VCS.98324
299. 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
300. 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
301. Critical soil moisture thresholds of plant water stress in terrestrial ecosystems Z. Fu et al. 10.1126/sciadv.abq7827
302. 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
303. Climate envelope modeling for ocelot conservation planning: peering inside the black box S. Lehnen & J. Lombardi 10.1002/ecs2.4477
304. Opportunities for Adaptation to Climate Change of Extensively Grazed Pastures in the Central Apennines (Italy) E. Bellini et al. 10.3390/land12020351
305. Soil and Climate Characterization to Define Environments for Summer Crops in Senegal C. Hernández et al. 10.3390/su132111739
306. Achieving conservation targets by jointly addressing climate change and biodiversity loss J. Suraci et al. 10.1002/ecs2.4490
307. Soil Classification Mapping Using a Combination of Semi-Supervised Classification and Stacking Learning (SSC-SL) F. Zhu et al. 10.3390/rs16020405
308. Österreichweite Regionalisierung bodenhydraulischer Eigenschaften H. Zeitfogel et al. 10.1007/s00506-022-00842-z
309. A review on digital mapping of soil carbon in cropland: progress, challenge, and prospect H. Huang et al. 10.1088/1748-9326/aca41e
310. Predicting streamflow with LSTM networks using global datasets K. Wilbrand et al. 10.3389/frwa.2023.1166124
311. Phytodiversity is associated with habitat heterogeneity from Eurasia to the Hengduan Mountains Y. Chang et al. 10.1111/nph.19206
312. 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
313. Machine learning enhances prediction of plants as potential sources of antimalarials A. Richard-Bollans et al. 10.3389/fpls.2023.1173328
314. 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
315. 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
316. Upscaling field-measured seasonal ground vegetation patterns with Sentinel-2 images in boreal ecosystems Y. Pang et al. 10.1080/01431161.2023.2234093
317. 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
318. 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
319. 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
320. 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
321. Biocrusts modulate carbon losses under warming across global drylands: A bayesian meta-analysis J. Sun et al. 10.1016/j.soilbio.2023.109214
322. 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
323. 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
324. 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
325. Ein Simulationsmodell zur Erfassung von Abflussrisiken in der Landwirtschaft S. Wendland et al. 10.1007/s00287-023-01522-2
326. Evaluating the extrapolation potential of random forest digital soil mapping F. Hateffard et al. 10.1016/j.geoderma.2023.116740
327. Global soil profiles indicate depth-dependent soil carbon losses under a warmer climate M. Wang et al. 10.1038/s41467-022-33278-w
328. Integrated crop and livestock systems increase both climate change adaptation and mitigation capacities M. Delandmeter et al. 10.1016/j.scitotenv.2023.169061
329. Spatially explicit modeling of the probability of land abandonment in the Spanish Pyrenees P. Gelabert et al. 10.1016/j.landurbplan.2022.104487
330. Improvement in Dust Storm Simulation by Considering Stone Coverage Effects for Stony Deserts in East Asia T. Sekiyama et al. 10.1029/2022JD037295
331. 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
332. Baseline high-resolution maps of organic carbon content in Australian soils A. Wadoux et al. 10.1038/s41597-023-02056-8
333. Patterns of Grewia (Malvaceae) diversity across geographical scales in Africa and Madagascar N. Karimi & M. Hanes 10.1093/aob/mcae009
334. Mapping Soil Depth in Sri Lanka Using Statistical and Machine Learning Models E. Jahanshiri et al. 10.2139/ssrn.4016391
335. 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
336. Prediction of future potential distributions of Pinus yunnanensis varieties under climate change J. Feng et al. 10.3389/ffgc.2023.1308416
337. 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
338. Hydrological model skills change with drought severity; insights from multi-variable evaluation G. Bruno et al. 10.1016/j.jhydrol.2024.131023
339. Soil Reflectance Composites—Improved Thresholding and Performance Evaluation U. Heiden et al. 10.3390/rs14184526
340. Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data M. Celik et al. 10.1109/LGRS.2023.3303643
341. 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
342. Shapley values reveal the drivers of soil organic carbon stock prediction A. Wadoux et al. 10.5194/soil-9-21-2023
343. Classification of alpine grasslands in the western Tian Shan Mountains (Kyrgyzstan, Middle Asia) G. Swacha et al. 10.5586/asbp/169036
344. 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
345. 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
346. 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
347. Multiresource Pastoralism, Dynamic Foodways, and Ancient Statecraft in Mongolia W. Honeychurch et al. 10.3390/land12091715
348. Large Soil Carbon Storage in Terrestrial Ecosystems of Canada C. Sothe et al. 10.1029/2021GB007213
349. Assessing the scientific value and vulnerability of paleontological sites: a new analytic operational procedure A. Faggi et al. 10.3389/feart.2023.1163280
350. 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
351. 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
352. 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
353. 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
354. 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
355. CLSoilMaps: A national soil gridded database of physical and hydraulic soil properties for Chile D. Dinamarca et al. 10.1038/s41597-023-02536-x
356. 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
357. Ecological niche modeling of the main forest-forming species in the Caucasus R. Pshegusov et al. 10.1016/j.fecs.2022.100019
358. 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
359. 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
360. 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
361. Vorhersage von hydrologischen Abflusskennwerten in unbeobachteten Einzugsgebieten mit Machine Learning C. Klingler et al. 10.1007/s00506-022-00891-4
362. To what extent does river routing matter in hydrological modeling? N. Cortés-Salazar et al. 10.5194/hess-27-3505-2023
363. 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
364. 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
365. 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
366. Environmental spaces for palsas and peat plateaus are disappearing at a circumpolar scale O. Leppiniemi et al. 10.5194/tc-17-3157-2023
367. Combining Digital Covariates and Machine Learning Models to Predict the Spatial Variation of Soil Cation Exchange Capacity F. Kaya et al. 10.3390/land12040819
368. Soil moisture at 30 m from multiple satellite datasets fused by random forest J. Ning et al. 10.1016/j.jhydrol.2023.130010
369. Analysis of Climate Change Impacts on Agricultural Water Availability in Cimanuk Watershed, Indonesia N. Heryani et al. 10.3390/su142316236
370. Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems L. Liu et al. 10.1038/s41467-023-43860-5
371. An Open Soil Health Assessment Framework Facilitating Sustainable Soil Management G. Ros et al. 10.1021/acs.est.2c04516
372. 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
373. 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
374. 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
375. 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
376. 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
377. European Soil Data Centre 2.0: Soil data and knowledge in support of the EU policies P. Panagos et al. 10.1111/ejss.13315
378. 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
379. Multi-objective Allocation Optimization of Soil Conservation Measures Under Data Uncertainty M. Hildemann et al. 10.1007/s00267-023-01837-6
380. Impact of interannual and multidecadal trends on methane-climate feedbacks and sensitivity C. Cheng & S. Redfern 10.1038/s41467-022-31345-w
381. Upscaling Soil Organic Carbon Measurements at the Continental Scale Using Multivariate Clustering Analysis and Machine Learning Z. Wang et al. 10.1029/2023JG007702
382. Nitrogen deposition suppresses soil respiration by reducing global belowground activity W. Xiao et al. 10.1016/j.scitotenv.2024.171246
383. 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
384. Probabilistic reconstruction via machine-learning of the Po watershed aquifer system (Italy) A. Manzoni et al. 10.1007/s10040-023-02677-8
385. Prediction of habitat suitability for Patrinia sibirica Juss. in the Southern Urals N. Fedorov et al. 10.1038/s41598-021-99018-0
386. Improving model parsimony and accuracy by modified greedy feature selection in digital soil mapping X. Zhang et al. 10.1016/j.geoderma.2023.116383
387. Digital soil mapping in the Russian Federation: A review A. Suleymanov et al. 10.1016/j.geodrs.2024.e00763
388. How well does digital soil mapping represent soil geography? An investigation from the USA D. Rossiter et al. 10.5194/soil-8-559-2022
389. 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
390. Monitoring changes in global soil organic carbon stocks from space J. Padarian et al. 10.1016/j.rse.2022.113260
391. 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
392. Identifying opportunities to improve digital soil mapping in India: A systematic review P. Dash et al. 10.1016/j.geodrs.2021.e00478
393. Spatial assessment of topsoil zinc concentrations in Europe E. Van Eynde et al. 10.1016/j.scitotenv.2023.164512
394. Exploring soil property spatial patterns in a small grazed catchment using machine learning J. Barrena-González et al. 10.1007/s12145-023-01125-1
395. 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
396. 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
397. 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
398. A Global Synthesis of Multi‐Factors Affecting Water Storage Capacity in Forest Canopy, Litter and Soil Layers Y. Liu et al. 10.1029/2022GL099888
399. Historical and future variation of soil organic carbon in China Z. Zhang et al. 10.1016/j.geoderma.2023.116557
400. 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
401. The phylogeographic journey of a plant species from lowland to highlands during the Pleistocene L. Soares & L. Freitas 10.1038/s41598-024-53414-4
402. Modelling the impacts of water harvesting and climate change on rainfed maize yields in Senegal A. Setti et al. 10.4081/jae.2023.1524
403. 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
404. Climate change threatens the future viability of translocated populations J. Bellis et al. 10.1111/ddi.13795
405. Spatially Explicit Soil Acidification under Optimized Fertilizer Use in Sub-Saharan Africa Y. Uwiragiye et al. 10.3390/agronomy13030632
406. High-resolution agriculture soil property maps from digital soil mapping methods, Czech Republic D. Žížala et al. 10.1016/j.catena.2022.106024
407. Enhancing WOFOST crop model with unscented Kalman filter assimilation of leaf area index O. Belozerova 10.1080/19479832.2023.2287037
408. 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
409. Modeling the Agricultural Soil Landscape of Germany—A Data Science Approach Involving Spatially Allocated Functional Soil Process Units M. Ließ 10.3390/agriculture12111784
410. 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
411. 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
412. 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
413. 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
414. Lessons from a regional analysis of forest recovery trajectories in West Africa B. Amani et al. 10.1088/1748-9326/ac9b4f
415. 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
416. Modeling shallow soil moisture dynamics in mountainous landslide active regions J. Dai & S. Cheng 10.3389/fenvs.2022.913059
417. 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
418. Management interventions of pearl millet systems for attaining cereal self-sufficiency in Senegal N. Vieira Junior et al. 10.3389/fsufs.2023.1281496
419. 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
420. The effect of global warming on the Australian endemic orchid Cryptostylis leptochila and its pollinator M. Kolanowska et al. 10.1371/journal.pone.0280922
421. 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
422. 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
423. 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
424. 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
425. 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
426. Dietary change in high-income nations alone can lead to substantial double climate dividend Z. Sun et al. 10.1038/s43016-021-00431-5
427. 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
428. Fine-resolution mapping of cropland topsoil pH of Southern China and its environmental application B. Hu et al. 10.1016/j.geoderma.2024.116798
429. 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
430. Mapping Surface Organic Soil Properties in Arctic Tundra Using C-Band SAR Data Y. Yi et al. 10.1109/JSTARS.2023.3236117
431. Improving digital mapping of soil organic matter in cropland by incorporating crop rotation Y. Liu et al. 10.1016/j.geoderma.2023.116620
432. Strategies for managing spring frost risks in orchards: effectiveness and conditionality—a systematic review B. Drepper et al. 10.1186/s13750-022-00281-z
433. 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
434. 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
435. Distribuição geográfica potencial do araticum (Annona crassiflora) P. Martins 10.55905/cuadv15n2-040
436. 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
437. OWEFE—open modeling framework for integrated water, energy, food, and environment systems J. Fleischmann et al. 10.1088/2634-4505/acbcee
438. Effects of Landslides on Terrestrial Carbon Stocks With a Coupled Geomorphic‐Biologic Model: Southeast Alaska, United States A. Booth et al. 10.1029/2022JG007297
439. 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
440. Soil Sampling Map Optimization with a Dual Deep Learning Framework T. Pham & K. Nguyen 10.3390/make6020035
441. Connecting the multiple dimensions of global soil fungal diversity V. Mikryukov et al. 10.1126/sciadv.adj8016
442. 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
443. Remote Sensing Data for Digital Soil Mapping in French Research—A Review A. Richer-de-Forges et al. 10.3390/rs15123070
444. Geospatial model for allocating favorable plots for groundwater-dependent cultivation activities in Egypt A. Shalby et al. 10.1016/j.ejrs.2023.07.014
445. Organic carbon stocks, quality and prediction in permafrost-affected forest soils in North Canada M. Schiedung et al. 10.1016/j.catena.2022.106194
446. The implementation of dust mineralogy in COSMO5.05-MUSCAT S. Gómez Maqueo Anaya et al. 10.5194/gmd-17-1271-2024
447. Global variation in soil carbon sequestration potential through improved cropland management M. Lessmann et al. 10.1111/gcb.15954
448. Towards Incorporation of Blue Carbon in Falkland Islands Marine Spatial Planning: A Multi-Tiered Approach N. Bax et al. 10.3389/fmars.2022.872727
449. 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
450. 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
451. Remote sensing of soil degradation: Progress and perspective J. Wang et al. 10.1016/j.iswcr.2023.03.002
452. 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
453. 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
454. 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
455. 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
456. A novel local-global dependency deep learning model for soil mapping Q. Li et al. 10.1016/j.geoderma.2023.116649
457. Soils in war and peace Y. Dmytruk et al. 10.1080/00207233.2022.2152254
458. 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
459. 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
460. Exploring the inter-decadal variability of soil organic carbon in China Z. Zhang et al. 10.1016/j.catena.2023.107242
461. Global polygons for terrain classification divided into uniform slopes and basins J. Iwahashi & D. Yamazaki 10.1186/s40645-022-00487-2
462. 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
463. 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
464. 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
465. Vulnerability of cocoa-based agroforestry systems to climate change in West Africa A. Ariza-Salamanca et al. 10.1038/s41598-023-37180-3
466. 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
467. 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
468. 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
469. Spatiotemporal variability of the potential wind erosion risk in Southern Africa between 2005 and 2019 F. Kestel et al. 10.1002/ldr.4659
470. Forest biomes of Southern Africa L. Mucina et al. 10.1080/0028825X.2021.1960383
471. Climate change impacts on tree crop suitability in Southeast Asia J. Appelt et al. 10.1007/s10113-023-02111-5
472. Global Soil Salinity Estimation at 10 m Using Multi-Source Remote Sensing N. Wang et al. 10.34133/remotesensing.0130
473. 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
474. 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
475. An Independent Validation of SoilGrids Accuracy for Soil Texture Components in Croatia D. Radočaj et al. 10.3390/land12051034
476. Inferring Land Conditions in the Tumen River Basin by Trend Analysis Based on Satellite Imagery and Geoinformation H. Yu & L. Li 10.3390/su14095687
477. Spatial patterns and determinants of avocado frontier dynamics in Mexico D. Ramírez-Mejía et al. 10.1007/s10113-022-01883-6
478. 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
479. 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
480. A Comparison, Validation, and Evaluation of the S-world Global Soil Property Database J. Stoorvogel & V. Mulder 10.3390/land10050544
481. 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
482. 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
483. GIS-Based Cropland Suitability Prediction Using Machine Learning: A Novel Approach to Sustainable Agricultural Production D. Radočaj & M. Jurišić 10.3390/agronomy12092210
484. Frontiers in soil ecology—Insights from the World Biodiversity Forum 2022 N. Eisenhauer et al. 10.1002/sae2.12031
485. 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