Microbial models with data-driven parameters predict stronger soil carbon responses to climate change

Global Change Biology

Volumn 21, Issue 6, 2015, Pages 2439-2453

  Hararuk, Oleksandra ^a,b   Smith, Matthew J ^b   Luo, Yiqi ^a,c  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b MICROSOFT RESEARCH   (United Kingdom)

^c TSINGHUA UNIVERSITY   (China)

Author keywords

Carbon cycle; Carbon climate feedback; Data assimilation; Model calibration; Soil biogeochemistry; Soil organic matter

Indexed keywords

CARBON CYCLE; CLIMATE CHANGE; DATA ASSIMILATION; MICROBIAL COMMUNITY; SOIL CARBON; SOIL CHEMISTRY; SOIL MICROORGANISM; SOIL ORGANIC MATTER;

CARBON; SOIL;

CALIBRATION; CARBON CYCLE; CHEMISTRY; CLIMATE CHANGE; METABOLISM; MICROBIOLOGY; SOIL; THEORETICAL MODEL;

CALIBRATION; CARBON; CARBON CYCLE; CLIMATE CHANGE; MODELS, THEORETICAL; SOIL; SOIL MICROBIOLOGY;

EID: 84928371466     PISSN: 13541013     EISSN: 13652486     Source Type: Journal    
DOI: 10.1111/gcb.12827     Document Type: Article

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