Explicit Representation of Grazing Activity in a Diagnostic Terrestrial Model: A Data‐Process Combined Scheme

Journal of Advances in Modeling Earth Systems

Wei Zhou¹  Yuan Cheng²  Xinran Fei²  Pavel Propastin³  Weimin Ju⁴  Honghua Ruan⁵  Yizhao Chen⁵  Shaojie Mu⁶  Cuijuan Liao⁷  Jianlong Li⁷  Jiaguo Qi⁸  Rongjun Tang⁹  Luxiao Chen⁹ 

[1] College of Architecture and Urban Planning Chongqing Jiaotong University Chongqing China;College of Forestry Nanjing Forestry University Nanjing China;Institute of Geography Georg‐August University Göttingen Göttingen Germany;International Institute of Earth System Science Nanjing University Nanjing China;Joint Innovation Center for Modern Forestry Studies, College of Biology and the Environment Nanjing Forestry University Nanjing Jiangsu China;Key Laboratory of Watershed Geographic Sciences Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Nanjing China;School of Life Science Nanjing University Nanjing China;The Center for Global Change and Earth Observations Michigan State University East Lansing MI USA;The State Key Laboratory of Pharmaceutical Biotechnology and Jiangsu Engineering Research Center for MicroRNA Biology and Biotechnology, NJU Advanced Institute for Life Sciences (NAILS), School of Life Science Nanjing University Nanjing China;

关键词: remote sensing model;    temperate Eurasian steppe;    grazing C consumption;    terrestrial carbon cycling;    C sequestration;    livestock distribution;   

DOI  :  10.1029/2018MS001352

来源: DOAJ

【 摘 要 】

Abstract 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.

【 授权许可】

Unknown