DOI: 10.1111/gcb.12368
论文题名: Simulating greenhouse gas mitigation potentials for Chinese Croplands using the DAYCENT ecosystem model
作者: Cheng K. ; Ogle S.M. ; Parton W.J. ; Pan G.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2014
卷: 20, 期: 3 起始页码: 948
结束页码: 962
语种: 英语
英文关键词: China
; Cropland
; DAYCENT
; Ecosystem model
; Greenhouse gas emissions
; Methane
; Nitrous oxide
; Soil organic carbon
Scopus关键词: agricultural land
; carbon dioxide
; climate change
; ecosystem modeling
; emission
; greenhouse gas
; methane
; nitrous oxide
; soil organic matter
; China
; carbon
; methane
; nitrous oxide
; soil organic carbon
; agriculture
; air pollutant
; air pollution
; article
; carbon footprint
; chemistry
; China
; computer simulation
; crop
; cropland
; DAYCENT
; ecosystem
; ecosystem model
; greenhouse effect
; methodology
; soil
; theoretical model
; China
; Cropland
; DAYCENT
; ecosystem model
; greenhouse gas emissions
; methane
; nitrous oxide
; soil organic carbon
; Agriculture
; Air Pollutants
; Air Pollution
; Carbon
; China
; Computer Simulation
; Crops, Agricultural
; Ecosystem
; Greenhouse Effect
; Methane
; Models, Theoretical
; Nitrous Oxide
; Soil
英文摘要: Understanding the potential for greenhouse gas (GHG) mitigation in agricultural lands is a critical challenge for climate change policy. This study uses the DAYCENT ecosystem model to predict GHG mitigation potentials associated with soil management in Chinese cropland systems. Application of ecosystem models, such as DAYCENT, requires the evaluation of model performance with data sets from experiments relevant to the climate and management of the study region. DAYCENT was evaluated with data from 350 cropland experiments in China, including measurements of nitrous oxide emissions (N2O), methane emissions (CH4), and soil organic carbon (SOC) stock changes. In general, the model was reasonably accurate with R2 values for model predictions vs. measurements ranging from 0.71 to 0.85. Modeling efficiency varied from 0.65 for SOC stock changes to 0.83 for crop yields. Mitigation potentials were estimated on a yield basis (Mg CO2-equivalent Mg-1Yield). The results demonstrate that the largest decrease in GHG emissions in rainfed systems are associated with combined effect of reducing mineral N fertilization, organic matter amendments and reduced-till coupled with straw return, estimated at 0.31 to 0.83 Mg CO2-equivalent Mg-1Yield. A mitigation potential of 0.08 to 0.36 Mg CO2-equivalent Mg-1Yield is possible by reducing N chemical fertilizer rates, along with intermittent flooding in paddy rice cropping systems. © 2013 John Wiley & Sons Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/61966
Appears in Collections: 影响、适应和脆弱性
There are no files associated with this item.
作者单位: Institute of Resource, Ecosystem and Environment of Agriculture, Center of Climate Change and Agriculture, Nanjing Agricultural University, 1 Weigang, Nanjing, Jiangsu 210095, China; Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523, United States; Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO 80523, United States
Recommended Citation:
Cheng K.,Ogle S.M.,Parton W.J.,et al. Simulating greenhouse gas mitigation potentials for Chinese Croplands using the DAYCENT ecosystem model[J]. Global Change Biology,2014-01-01,20(3)