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DOI10.1029/2018MS001352
Explicit Representation of Grazing Activity in a Diagnostic Terrestrial Model: A Data-Process Combined Scheme
Chen Y.; Ju W.; Mu S.; Fei X.; Cheng Y.; Propastin P.; Zhou W.; Liao C.; Chen L.; Tang R.; Qi J.; Li J.; Ruan H.
发表日期2019
ISSN19422466
起始页码957
结束页码978
卷号11期号:4
英文摘要Grazing activity is a fundamental behavior in pasture ecosystems and, globally, is a major disturbance that leads to destruction of terrestrial biomass. However, its impact on ecosystem C sequestration at large scales is not well understood due to its obvious anthropogenic property. In this study, we proposed a Data-Process combined Grazing Scheme (DPGS) to quantify the regional grazing impact on ecosystem C sequestration in the typical pasture ecosystem, Temperate Eurasian Steppe. First, a pixel-based livestock distribution map was generated based on fine-scale (province/prefecture) inventory data using a resource-oriented livestock distribution approach. Then the C consumption due to grazing (Closs,graze) was simulated by combining a late version of a remote-sensing-based terrestrial model, the Boreal Ecosystem Productivity Simulator and the Shiyomi grazing model. The modeled regional livestock density was evaluated against the Gridded Livestock of the World data set. The DPGS was able to reproduce the spatial distribution of livestock. Because extralarge herbivores (camel and horse) were involved in the calculation, the DPGS predicts higher livestock density than the Gridded Livestock of the World data set over 70% of the region. The modeled Closs,graze and its seasonal variability were validated against multiple site-based data sets. The results showed good agreements with the field observations of Closs,graze. With further tests and data incorporations, this scheme has the potential to produce high-resolution data sets of livestock distribution and Closs,graze and become a useful diagnostic instrument for model evaluation, parameterization, and intercomparison. ©2019. The Authors.
英文关键词C sequestration; grazing C consumption; livestock distribution; remote sensing model; temperate Eurasian steppe; terrestrial carbon cycling
语种英语
scopus关键词Ecosystems; Remote sensing; C sequestration; Carbon cycling; grazing C consumption; livestock distribution; Remote sensing models; temperate Eurasian steppe; Agriculture; biomass; carbon sequestration; model; pasture; seasonal variation; spatial distribution; steppe; terrestrial environment; Eurasia; Equidae
来源期刊Journal of Advances in Modeling Earth Systems
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/156931
作者单位Joint Innovation Center for Modern Forestry Studies, College of Biology and the Environment, Nanjing Forestry University, Nanjing, Jiangsu, China; School of Life Science, Nanjing University, Nanjing, China; Ministry of Education Key Laboratory for Earth System Modeling, and Department for Earth System Science, Tsinghua University, Beijing, China; International Institute of Earth System Science, Nanjing University, Nanjing, China; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology Chinese Academy of Sciences, Nanjing, China; College of Forestry, Nanjing Forestry University, Nanjing, China; Institute of Geography, Georg-August University Göttingen, Göttingen, Germany; Department of Bioclimatology, Büsgen-Institute, Georg-August University Göttingen, Göttingen, Germany; College of Architecture and Urban Planning, Chongqing Jiaotong University, Chongqing, China; The State Key Laboratory of Pharmaceutical Biotechnology and Jiangsu Engineering Research Center for Micro...
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Chen Y.,Ju W.,Mu S.,et al. Explicit Representation of Grazing Activity in a Diagnostic Terrestrial Model: A Data-Process Combined Scheme[J],2019,11(4).
APA Chen Y..,Ju W..,Mu S..,Fei X..,Cheng Y..,...&Ruan H..(2019).Explicit Representation of Grazing Activity in a Diagnostic Terrestrial Model: A Data-Process Combined Scheme.Journal of Advances in Modeling Earth Systems,11(4).
MLA Chen Y.,et al."Explicit Representation of Grazing Activity in a Diagnostic Terrestrial Model: A Data-Process Combined Scheme".Journal of Advances in Modeling Earth Systems 11.4(2019).
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