Estimation of greenhouse gases (N2O, CH4 and CO2) from no-till cropland under increased temperature and altered precipitation regime: A DAYCENT model approach

Global and Planetary Change

Volumn 118, Issue , 2014, Pages 106-114

  Rafique, Rashad ^a   Kumar, Sandeep ^b   Luo, Yiqi ^a   Xu, Xianli ^c   Li, Dejun ^c   Zhang, Wei ^c   Asam, Zaki ul Zaman ^d  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b SOUTH DAKOTA STATE UNIVERSITY   (United States)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^d TRINITY COLLEGE DUBLIN   (Ireland)

Author keywords

Altered precipitation; Climate warming; DayCent model; GHG; ParameterESTimation (PEST); Scenario analysis

Indexed keywords

ATMOSPHERIC TEMPERATURE; C (PROGRAMMING LANGUAGE); CALIBRATION; CARBON DIOXIDE; CLIMATE CHANGE; CLIMATE MODELS; COMPUTER SIMULATION; DROUGHT; RAIN; SOIL MOISTURE;

CLIMATE CHANGE SCENARIOS; CLIMATE WARMING; DAYCENT; EARTH SURFACE TEMPERATURE; GENERAL CIRCULATION MODEL; GHG; LAND MANAGEMENT PRACTICES; SCENARIO ANALYSIS;

GREENHOUSE GASES;

AGRICULTURAL LAND; CALIBRATION; CARBON DIOXIDE; CARBON EMISSION; CLIMATE MODELING; DROUGHT; EXPERIMENTAL STUDY; GENERAL CIRCULATION MODEL; GLOBAL WARMING; GREENHOUSE GAS; LAND MANAGEMENT; MANAGEMENT PRACTICE; METHANE; PORE SPACE; PRECIPITATION (CLIMATOLOGY); SOFTWARE; SOIL MOISTURE; SURFACE TEMPERATURE; ZERO TILLAGE;

EID: 84900798285     PISSN: 09218181     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.gloplacha.2014.05.001     Document Type: Article

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