Mapping soil erodibility in southeast China at 250 m resolution: Using environmental variables and random forest regression with limited samples

Zhiyuan Tian1, Feng Liu1, Yin Liang1, Xuchao Zhu1
1State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China

Tài liệu tham khảo

Addis, 2015, Predicting the spatial distribution of soil erodibility factor using USLE nomograph in an agricultural watershed, Ethiopia, International Soil and Water Conservation Research, 3, 282, 10.1016/j.iswcr.2015.11.002 Avalos, 2018, Digital soil erodibility mapping by soilscape trending and kriging, Land Degradation & Development, 29, 3021, 10.1002/ldr.3057 Belgiu, 2016, Random forest in remote sensing: A review of applications and future directions, ISPRS Journal of Photogrammetry and Remote Sensing, 114, 24, 10.1016/j.isprsjprs.2016.01.011 Bonilla, 2012, Soil erodibility mapping and its correlation with soil properties in Central Chile, Geoderma, 189, 116, 10.1016/j.geoderma.2012.05.005 Breiman, 2001, Random forests, Machine Learning, 45, 5, 10.1023/A:1010933404324 Bryan, 2000, Soil erodibility and processes of water erosion on hillslope, Geomorphology, 32, 385, 10.1016/S0169-555X(99)00105-1 Buttafuoco, 2012, Assessing spatial uncertainty in mapping soil erodibility factor using geostatistical stochastic simulation, Environmental Earth Sciences, 66, 1111, 10.1007/s12665-011-1317-0 Castaldi, 2019, Evaluating the capability of the Sentinel 2 data for soil organic carbon prediction in croplands, ISPRS Journal of Photogrammetry and Remote Sensing, 147, 267, 10.1016/j.isprsjprs.2018.11.026 Chen, 2009, The impact of land use and land cover changes on soil moisture and hydraulic conductivity along the karst hillslopes of southwest China, Environmental Earth Sciences, 59, 811, 10.1007/s12665-009-0077-6 Chenu, 2000, Organic matter influence on clay wettability and soil aggregate stability, Soil Science Society of America Journal, 64, 1479, 10.2136/sssaj2000.6441479x Didan, 2015 Efthimiou, 2020, The new assessment of soil erodibility in Greece, Soil and Tillage Research, 204, 104720, 10.1016/j.still.2020.104720 Erktan, 2016, Increase in soil aggregate stability along a mediterranean successional gradient in severely eroded gully bed ecosystems: Combined effects of soil, root traits and plant community characteristics, Plant and Soil, 398, 121, 10.1007/s11104-015-2647-6 Farr, 2007, The shuttle radar topography mission, Reviews of Geophysics, 45, 1, 10.1029/2005RG000183 Ferreira, 2015, Spatial variability of soil properties and soil erodibility in the Alqueva reservoir watershed, Solid Earth, 6, 383, 10.5194/se-6-383-2015 Fick, 2017, WorldClim 2: New 1-km spatial resolution climate surfaces for global land areas, International Journal of Climatology, 37, 4302, 10.1002/joc.5086 Fieller, 1992, Statistics of particle size data, Journal of the Royal Statistical Society: Series C (Applied Statistics), 41, 127 Fox, 2017, Assessing the accuracy and stability of variable selection methods for random forest modeling in ecology, Environmental Monitoring and Assessment, 189, 316, 10.1007/s10661-017-6025-0 Genuer, 2010, Variable selection using random forests, Pattern Recognition Letters, 31, 2225, 10.1016/j.patrec.2010.03.014 Hengl, 2006, Finding the right pixel size, Computers & Geosciences, 32, 1283, 10.1016/j.cageo.2005.11.008 Heung, 2014, Predictive soil parent material mapping at a regional-scale: A random forest approach, Geoderma, 214, 141, 10.1016/j.geoderma.2013.09.016 Heuvelink, 1992, Combining soil maps with interpolations from point observations to predict quantitative soil properties, Geoderma, 55, 1, 10.1016/0016-7061(92)90002-O Huang, 2016, The parameter sensitivity of random forests, BMC Bioinformatics, 17, 331, 10.1186/s12859-016-1228-x Ibrahim, 2018 Liang, 2013, Soil erodibility factor (K) calculation and distribution on water erosion areas in China, Soil and Water Conservation in China, 1, 35 Liaw, 2002, Classification and regression by randomForest, R News, 2, 18 Liu, 2019, Effects of soil aggregate stability on soil organic carbon and nitrogen under land use change in an erodible region in Southwest China, International Journal of Environmental Research and Public Health, 16, 3809, 10.3390/ijerph16203809 Liu, 2020, A soil colour map of China, Geoderma, 379, 114556, 10.1016/j.geoderma.2020.114556 Liu, 2020, High-resolution and three-dimensional mapping of soil texture of China, Geoderma, 361, 114061, 10.1016/j.geoderma.2019.114061 Khoirullah, 2019, Erodibility factor in weathered volcanic rock in Jatinangor, West Java, Indonesia, IOP Conference Series: Earth and Environmental Science, 248, 012055, 10.1088/1755-1315/248/1/012055 Li, 2014 Madenoglu, 2020, Uncertainty assessment of soil erodibility by direct sequential Gaussian simulation (DSIM) in semiarid land uses, Soil and Tillage Research, 204, 104731, 10.1016/j.still.2020.104731 Malone, 2011, Empirical estimates of uncertainty for mapping continuous depth functions of soil attributes, Geoderma, 160, 614, 10.1016/j.geoderma.2010.11.013 Mancino, 2016, In-between forest expansion and cropland decline: A revised USLE model for soil erosion risk under land-use change in a mediterranean region, Ecological Indicators, 71, 544, 10.1016/j.ecolind.2016.07.040 Matthew, 2011, Bias of the random forest out-of-bag (OOB) error for certain input parameters, Open Journal of Statistics, 1, 205, 10.4236/ojs.2011.13024 McBratney, 2003, On digital soil mapping, Geoderma, 117, 3, 10.1016/S0016-7061(03)00223-4 Minasny, 2013, Digital mapping of soil carbon, Advances in Agronomy, 118, 1, 10.1016/B978-0-12-405942-9.00001-3 Moran, 2000, Soil moisture evaluation using multi-temporal synthetic aperture radar (SAR) in semiarid rangeland, Agricultural and Forest Meteorology, 105, 69, 10.1016/S0168-1923(00)00189-1 Mutchler, 1983, Soil erodibility variation during the year, Transactions of the ASAE, 26, 1102, 10.13031/2013.34084 Nelson, 1983, Total carbon, organic carbon, and organic matter, Methods of soil analysis: Part 2 chemical and microbiological properties, 9, 539 O'Geen, 2013, Soil water dynamics, Nature Education Knowledge, 4, 9 Olson, 1963, Soil-erodibility evaluations for soils on the runoff and erosion stations, Soil Science Society of America Journal, 27, 590, 10.2136/sssaj1963.03615995002700050035x Oshiro, 2012, How many trees in a random forest?, 7376, 154 Paloscia, 2013, Soil moisture mapping using Sentinel-1 images: Algorithm and preliminary validation, Remote Sensing of Environment, 134, 234, 10.1016/j.rse.2013.02.027 Panagos, 2012, Soil erodibility estimation using LUCAS point survey data of Europe, Environmental Modelling & Software, 30, 143, 10.1016/j.envsoft.2011.11.002 Panagos, 2014, Soil erodibility in europe: A high-resolution dataset based on LUCAS, The Science of the Total Environment, 479, 189, 10.1016/j.scitotenv.2014.02.010 Parysow, 2003, Spatial uncertainty analysis for mapping soil erodibility based on joint sequential simulation, Catena, 53, 65, 10.1016/S0341-8162(02)00198-4 Pérez-rodríguez, 2007, Spatial variability of the soil erodibility parameters and their relation with the soil map at subgroup level, Science of the Total Environment, 378, 166, 10.1016/j.scitotenv.2007.01.044 Probst, 2019, Hyperparameters and tuning strategies for random forest, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9 Renard, 1991, RUSLE: Revised universal soil loss equation, Journal of Soil and Water Conservation, 46, 30 Schillaci, 2017, Modelling the topsoil carbon stock of agricultural lands with the Stochastic Gradient Treeboost in a semi-arid Mediterranean region, Geoderma, 286, 35, 10.1016/j.geoderma.2016.10.019 Scornet, 2017, Tuning parameters in random forests, ESAIM: Proceedings and Surveys, 60, 144, 10.1051/proc/201760144 Shangguan, 2017, Mapping the global depth to bedrock for land surface modeling, Journal of Advances in Modeling Earth Systems, 9, 65, 10.1002/2016MS000686 Shaw, 2002, Mineralogy of eroded sediments derived from highly weathered Ultisols of central Alabama, Soil and Tillage Research, 68, 59, 10.1016/S0167-1987(02)00081-8 Shimada, 2014, New global forest/non-forest maps from ALOS PALSAR data (2007-2010), Remote Sensing of Environment, 155, 13, 10.1016/j.rse.2014.04.014 Shi, 2004, Soil database of 1: 1,000,000 digital soil survey and reference system of the Chinese genetic soil classification system, Soil Survey Horizons, 45, 129, 10.2136/sh2004.4.0129 Shi, 2010, Cross-reference for relating genetic soil classification of China with WRB at different scales, Geoderma, 155, 344, 10.1016/j.geoderma.2009.12.017 Solomatine, 2009, A novel method to estimate model uncertainty using machine learning techniques, Water Resources Research, 45, 10.1029/2008WR006839 Strobl, 2008, Conditional variable importance for random forests, BMC Bioinformatics, 9, 307, 10.1186/1471-2105-9-307 Svetnik, 2003, Random forest: A classification and regression tool for compound classification and QSAR modeling, Journal of Chemical Information and Computer Sciences, 43, 1947, 10.1021/ci034160g Torres, 2012, GMES Sentinel-1 mission, Remote Sensing of Environment, 120, 9, 10.1016/j.rse.2011.05.028 Torri, 1997, Predictability and uncertainty of the soil erodibility factor using a global dataset, Catena, 31, 1, 10.1016/S0341-8162(97)00036-2 Vermang, 2009, Aggregate stability and erosion response to antecedent water content of a loess soil, Soil Science Society of America Journal, 73, 718, 10.2136/sssaj2007.0134 Wang, 2015, Retrieval and mapping of soil texture based on land surface diurnal temperature range data from MODIS, PloS One, 10 Wang, 2013, Soil erodibility for water erosion: A perspective and Chinese experiences, Geomorphology, 187, 1, 10.1016/j.geomorph.2013.01.018 Wan, 2015 Wang, 2001, Uncertainty assessment of soil erodibility factor for revised universal soil loss equation, Catena, 46, 1, 10.1016/S0341-8162(01)00158-8 Wischmeier, 1978, Predicting rainfall erosion losses: A guide to conservation planning Yang, 2018, Digital mapping of soil erodibility for water erosion in New South Wales, Australia, Soil Research, 56, 158, 10.1071/SR17058 Wright, 2015, ranger: A fast implementation of random forests for high dimensional data in C++ and R, Journal of Statistical Software, 77, 1 Yang, 2016, Comparison of boosted regression tree and random forest models for mapping topsoil organic carbon concentration in an alpine ecosystem, Ecological Indicators, 60, 870, 10.1016/j.ecolind.2015.08.036 Young, 1980, Characteristics of eroded sediment, Transactions of the ASAE, 23, 1139, 10.13031/2013.34735 Zhang, 2020, Random forest prediction intervals, The American Statistician, 74, 392, 10.1080/00031305.2019.1585288 Zhang, 2008, Soil erodibility and its estimation for agricultural soils in China, Journal of Arid Environments, 72, 1002, 10.1016/j.jaridenv.2007.11.018 Zhu, 2019, Factors affecting the spatial and temporal variations in soil erodibility of China, Journal of Geophysical Research: Earth Surface, 124, 737, 10.1029/2018JF004918 Ziadat, 2013, Effect of rainfall intensity, slope, land use and antecedent soil moisture on soil erosion in an arid environment, Land Degradation & Development, 24, 582, 10.1002/ldr.2239