Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/105460
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Type: Journal article
Title: Impacts of land use changes on net ecosystem production in the Taihu Lake Basin of China from 1985 to 2010
Author: Xu, X.
Yang, G.
Tan, Y.
Tang, X.
Jiang, H.
Sun, X.
Zhuang, Q.
Li, H.
Citation: Journal of Geophysical Research: Biogeosciences, 2017; 122(3):690-707
Publisher: American Geophysical Union
Issue Date: 2017
ISSN: 2169-8953
2169-8961
Statement of
Responsibility: 
Xibao Xu , Guishan Yang, Yan Tan, Xuguang Tang , Hong Jiang, Xiaoxiang Sun, Qianlai Zhuang , and Hengpeng Li
Abstract: Land use changes play a major role in determining sources and sinks of carbon at regional and global scales. This study employs a modified Global biome model-biogeochemical cycle model to examine the changes in the spatiotemporal pattern of net ecosystem production (NEP) in the Taihu Lake Basin of China during 1985–2010 and the extent to which land use change impacted NEP. The model is calibrated with observed NEP at three flux sites for three dominant land use types in the basin including cropland, evergreen needleleaf forest, and mixed forest. Two simulations are conducted to distinguish the net effects of land use change and increasing atmospheric concentrations of CO₂ and nitrogen deposition on NEP. The study estimates that NEP in the basin decreased by 9.8% (1.57 Tg C) from 1985 to 2010, showing an overall downward trend. The NEP distribution exhibits an apparent spatial heterogeneity at the municipal level. Land use changes during 1985–2010 reduced the regional NEP (3.21 Tg C in year 2010) by 19.9% compared to its 1985 level, while the increasing atmospheric CO₂ concentrations and nitrogen deposition compensated for a half of the total carbon loss. Critical measures for regulating rapid urban expansion and population growth and reinforcing environment protection programs are recommended to increase the regional carbon sink.
Rights: ©2017. American Geophysical Union. All Rights Reserved.
RMID: 0030067937
DOI: 10.1002/2016JG003444
Grant ID: http://purl.org/au-research/grants/arc/DP110105522
Appears in Collections:Australian Population and Migration Research Centre publications

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