Pedogenic knowledge-aided modelling of soil inorganic carbon stocks in an alpine environment

Science of the Total Environment

Volumn 599-600, Issue , 2017, Pages 1445-1453

  Yang, Ren Min ^a,c   Yang, Fan ^a   Yang, Fei ^a   Huang, Lai Ming ^b,d   Liu, Feng ^a   Yang, Jin Ling ^a   Zhao, Yu Guo ^a   Li, De Cheng ^a   Zhang, Gan Lin ^a,b  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c JIANGSU NORMAL UNIVERSITY   (China)

^d INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

Author keywords

Digital soil mapping; Exponential function; Pedogenic; Random forest; Soil inorganic carbon; Vertical pattern

Indexed keywords

CARBON; DECISION TREES; EXPONENTIAL FUNCTIONS; SOIL SURVEYS;

DIGITAL SOIL MAPPINGS; PEDOGENIC; RANDOM FORESTS; SOIL INORGANIC CARBONS; VERTICAL PATTERN;

SOILS;

CARBON;

ALPINE ENVIRONMENT; DIGITAL MAPPING; FOREST SOIL; GEOGRAPHICAL DISTRIBUTION; INORGANIC CARBON; MODELING; PEDOGENESIS; SOIL CARBON; SOIL DEPTH; SOIL STRUCTURE; VERTICAL DISTRIBUTION;

ACCURACY; ARTICLE; CARBON CYCLING; ENVIRONMENTAL FACTOR; ENVIRONMENTAL IMPACT ASSESSMENT; ENVIRONMENTAL MONITORING; GEOMORPHOLOGY; PREDICTION; PRIORITY JOURNAL; SOIL CHANGE; SOIL DEPTH; VEGETATION;

CHINA; QINGHAI-XIZANG PLATEAU;

EID: 85019353334     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2017.05.055     Document Type: Article

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