DOI: 10.1016/j.jag.2015.12.001
Scopus记录号: 2-s2.0-84997547951
论文题名: Modeling net primary productivity of terrestrial ecosystems in the semi-arid climate of the Mongolian Plateau using LSWI-based CASA ecosystem model
作者: Bao G ; , Bao Y ; , Qin Z ; , Xin X ; , Bao Y ; , Bayarsaikan S ; , Zhou Y ; , Chuntai B
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 46 起始页码: 84
结束页码: 93
语种: 英语
英文关键词: (semi-) Arid climate
; CASA model
; Land-surface water index
; Mongolian Plateau
; Net primary productivity
Scopus关键词: arid region
; biome
; ecological modeling
; grassland
; ground-based measurement
; moisture content
; net primary production
; pixel
; semiarid region
; terrestrial ecosystem
; vegetation cover
; Mongolian Plateau
; Citrus maxima
英文摘要: Since the estimate of moisture stress coefficients (MSC) in the current Carnegie-Ames-Stanford-Approach (CASA) model still requires considerable inputs from ground meteorological data and many soil parameters, here we present a modified CASA model by introducing the land-surface water index (LSWI) and scaled precipitation to model the vegetation net primary productivity (NPP) in the arid and semiarid climate of the Mongolian Plateau. The field-observed NPP data and a previously proposed model (the Yu-CASA model) were used to evaluate the performance of our LSWI-based CASA model. The results show that the NPP predicted by both the LSWI-based CASA model and the Yu-CASA model showed good agreement with the observed NPP in the grassland ecosystems in the study area, with coefficients of determination of 0.717 and 0.714, respectively. The LSWI-based CASA model also performed comparably with the Yu-CASA model at both biome and per-pixel scales when keeping other inputs unchanged, with a difference of approximately 16 g C in the growing-season total NPP and an average value of 2.3 g C bias for each month. This indicates that, unlike an earlier method that estimated MSC based entirely on climatic variables or a soil moisture model, the method proposed here simplifies the model structure, reduces the need for ground measurements, and can provide results comparable with those from earlier models. The LSWI-based CASA model is potentially an alternative method for modelling NPP for a wide range of vegetation types in the Mongolian Plateau. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80123
Appears in Collections: 气候变化事实与影响
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作者单位: Inner Mongolia Key Laboratory of Remote Sensing and Geographic Information Systems, Inner Mongolia Normal University, Hohhot, China; College of Geographical Science, Inner Mongolia Normal University, Hohhot, China; Institute of Agro-Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China; Institute of Geography, Mongolian Academy of Science, Ulaanbaatar, Mongolia; School of Geography, Shanxi Normal University, Linfen, China; Department of Geography, Khovd University, Khovd, Mongolia
Recommended Citation:
Bao G,, Bao Y,, Qin Z,et al. Modeling net primary productivity of terrestrial ecosystems in the semi-arid climate of the Mongolian Plateau using LSWI-based CASA ecosystem model[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,46