典型文献
Mapping high resolution National Soil Information Grids of China
文献摘要：
Soil spatial information has traditionally been presented as polygon maps at coarse scales.Solving global and local issues,including food security,water regulation,land degradation,and climate change requires higher quality,more consistent and detailed soil information.Accurate prediction of soil variation over large and complex areas with limited samples remains a challenge,which is especially significant for China due to its vast land area which contains the most diverse soil landscapes in the world.Here,we integrated predictive soil mapping paradigm with adaptive depth function fitting,state-of-the-art ensemble machine learning and high-resolution soil-forming environment characterization in a high-performance parallel computing environment to generate 90-m resolution national gridded maps of nine soil properties (pH,organic carbon,nitrogen,phosphorus,potassium,cation exchange capacity,bulk den-sity,coarse fragments,and thickness) at multiple depths across China.This was based on approximately 5000 representative soil profiles collected in a recent national soil survey and a suite of detailed covari-ates to characterize soil-forming environments.The predictive accuracy ranged from very good to mod-erate (Model Efficiency Coefficients from 0.71 to 0.36) at 0-5 cm.The predictive accuracy for most soil properties declined with depth.Compared with previous soil maps,we achieved significantly more detailed and accurate predictions which could well represent soil variations across the territory and are a significant contribution to the GlobalSoilMap.net project.The relative importance of soil-forming factors in the predictions varied by specific soil property and depth,suggesting the complexity and non-stationarity of comprehensive multi-factor interactions in the process of soil development.
文献关键词：
中图分类号：
作者姓名：
Feng Liu;Huayong Wu;Yuguo Zhao;Decheng Li;Jin-Ling Yang;Xiaodong Song;Zhou Shi;A-Xing Zhu;Gan-Lin Zhang
作者机构：
State Key Laboratory of Soil and Sustainable Agriculture,Institute of Soil Science,Chinese Academy of Sciences,Nanjing 210008,China;University of Chinese Academy of Sciences,Beijing 100049,China;Institute of Agricultural Remote Sensing and Information Technology Application,College of Environmental and Resource Sciences,Zhejiang University,Hangzhou 310058,China;Key Laboratory of Virtual Geographic Environment of Ministry of Education,Nanjing Normal University,Nanjing 210023,China;State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;Key Laboratory of Watershed Geographic Science,Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,Nanjing 210008,China
文献出处：
引用格式：
[1]Feng Liu;Huayong Wu;Yuguo Zhao;Decheng Li;Jin-Ling Yang;Xiaodong Song;Zhou Shi;A-Xing Zhu;Gan-Lin Zhang-.Mapping high resolution National Soil Information Grids of China)[J].科学通报（英文版）,2022(03):328-340
A类：
GlobalSoilMap
B类：
Mapping,resolution,National,Information,Grids,China,spatial,information,has,traditionally,been,presented,polygon,maps,coarse,scales,Solving,global,local,issues,including,food,security,water,regulation,degradation,climate,requires,higher,quality,more,consistent,detailed,soil,Accurate,over,large,areas,limited,samples,remains,challenge,which,especially,due,its,vast,contains,most,diverse,landscapes,world,Here,integrated,predictive,mapping,paradigm,adaptive,function,fitting,state,art,ensemble,machine,learning,forming,characterization,performance,parallel,computing,generate,national,gridded,nine,properties,organic,carbon,nitrogen,phosphorus,potassium,cation,exchange,capacity,bulk,den,sity,fragments,thickness,multiple,depths,across,This,was,approximately,representative,profiles,collected,recent,survey,suite,covari,ates,characterize,environments,accuracy,ranged,from,very,good,mod,Model,Efficiency,Coefficients,declined,Compared,previous,achieved,significantly,accurate,predictions,could,well,variations,territory,contribution,net,project,relative,importance,factors,varied,by,specific,property,suggesting,complexity,stationarity,comprehensive,interactions,process,development
AB值：
0.615017
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