46 citations as recorded by crossref.

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20. A parametric sensitivity analysis for prioritizing regolith knowledge needs for modeling water transfers in the West African critical zone A. Herzog et al. 10.1002/vzj2.20163
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23. Decipher soil organic carbon dynamics and driving forces across China using machine learning H. Li et al. 10.1111/gcb.16154
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25. 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
26. Developing a pan-European high-resolution groundwater recharge map – Combining satellite data and national survey data using machine learning G. Martinsen et al. 10.1016/j.scitotenv.2022.153464
27. Assessment of intrinsic aquifer vulnerability at continental scale through a critical application of the drastic framework: The case of South America F. Rama et al. 10.1016/j.scitotenv.2022.153748
28. Spatial variability of saturated hydraulic conductivity and its links with other soil properties at the regional scale B. Usowicz & J. Lipiec 10.1038/s41598-021-86862-3
29. Global variation in the fraction of leaf nitrogen allocated to photosynthesis X. Luo et al. 10.1038/s41467-021-25163-9
30. Agricultural Drought Trends on the Iberian Peninsula: An Analysis Using Modeled and Reanalysis Soil Moisture Products L. Almendra-Martín et al. 10.3390/atmos12020236
31. Over-Optimistic Projected Future Wheat Yield Potential in the North China Plain: The Role of Future Climate Extremes R. Yang et al. 10.3390/agronomy12010145
32. Organic carbon stocks, quality and prediction in permafrost-affected forest soils in North Canada M. Schiedung et al. 10.1016/j.catena.2022.106194
33. S-map parameters for APSIM I. Vogeler et al. 10.1016/j.mex.2022.101632
34. Identifying opportunities to improve digital soil mapping in India: A systematic review P. Dash et al. 10.1016/j.geodrs.2021.e00478
35. High resolution middle eastern soil attributes mapping via open data and cloud computing R. Poppiel et al. 10.1016/j.geoderma.2020.114890
36. Assessing the response of soil carbon in Australia to changing inputs and climate using a consistent modelling framework J. Lee et al. 10.5194/bg-18-5185-2021
37. Population responses to environmental change: looking back, looking forward B. Entwisle 10.1007/s11111-021-00382-w
38. Exploring the likely relationship between soil carbon change and environmental controls using nonrevisited temporal data sets: Mapping soil carbon dynamics across China R. Yang et al. 10.1016/j.scitotenv.2021.149312
39. Predicting Rock-Eval® thermal analysis parameters of a soil layer based on samples from its sublayers; an experimental study on forest soils E. Kanari et al. 10.1016/j.orggeochem.2021.104289
40. Spatial structure, parameter nonlinearity, and intelligent algorithms in constructing pedotransfer functions from large-scale soil legacy data P. Chakraborty et al. 10.1038/s41598-020-72018-2
41. Endemism, projected climate change, and identifying species of critical concern in the Scrub Mint clade (Lamiaceae) A. Naranjo et al. 10.1111/csp2.621
42. Soil fertility status for potato production in the central highlands of Malawi M. Chandiona et al. 10.5897/AJAR2021.15768
43. Evolution of Pelage Luminance in Squirrels (Sciuridae) A. Sheets & A. Chavez 10.3389/fevo.2020.00249
44. Machine learning in space and time for modelling soil organic carbon change G. Heuvelink et al. 10.1111/ejss.12998
45. Soil organic carbon stocks and quality in small-scale tropical, sub-humid and semi-arid watersheds under shrubland and dry deciduous forest in southwestern India S. Bellè et al. 10.1016/j.geoderma.2021.115606
46. 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