Explicit Representation of Grazing Activity in a Diagnostic Terrestrial Model: A Data‐Process Combined Scheme. (15th April 2019)

• Record Type: Journal Article
• Authors: Chen, Yizhao; Ju, Weimin; Mu, Shaojie; Fei, Xinran; Cheng, Yuan; Propastin, Pavel; Zhou, Wei; Liao, Cuijuan; Chen, Luxiao; Tang, Rongjun; Qi, Jiaguo; Li, Jianlong; Ruan, Honghua
• Is Part Of: Journal of advances in modeling earth systems. Volume 11:Number 4(2019)
• Page Start: 957
• Page End: 978
• Publication Date: 2019-04-15
• Subjects: remote sensing model -- temperate Eurasian steppe -- grazing C consumption -- terrestrial carbon cycling -- C sequestration -- livestock distribution; Geological modeling -- Periodicals; Climatology -- Periodicals; Geochemical modeling -- Periodicals; 551.5011
• DOI: 10.1029/2018MS001352
• Languages: English
• ISSNs: 1942-2466

Abstract

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 ( C loss, 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 C loss, graze and its seasonal variability were validated against multiple site‐based data sets. The results showed good agreements with the field observations of C loss, graze . With further tests and data incorporations, this scheme has the potential to produce high‐resolution data sets of livestock distribution and C loss, graze and become a useful diagnostic instrument for model evaluation, parameterization, and intercomparison. Key Points: A data‐process combined grazing scheme (DPGS) was designed and tested in Temperate Eurasian Steppe The DPGS can reproduce the livestock distribution in Temperate Eurasian Steppe The modeled regional C consumption due to grazing and its seasonal variability showed good agreements with multiple observations