作者:Dong, GT (Dong, Guotao)[ 1,2,3 ] ; Bai, J (Bai, Juan)[ 1,2,4 ] ; Yang, ST (Yang, Shengtian)[ 1,2 ] ; Wu, LN (Wu, Linna)[ 1,2 ] ; Cai, MY (Cai, Mingyong)[ 1,2 ] ; Zhang, YC (Zhang, Yichi)[ 1,2 ] ; Luo, Y (Luo, Ya)[ 1,2 ] ; Wang, ZW (Wang, Zhiwei)[ 1,2 ]

ENVIRONMENTAL EARTH SCIENCES

卷: 74  期: 4  页: 2907-2917

DOI: 10.1007/s12665-015-4318-6

出版年: AUG 2015

摘要

Land use and land cover change (LUCC) have a significant influence on regional ecosystems and on the carbon cycle. The Sanjiang Plain is one of the largest grain production bases in China, and has experienced rapid land cover change, making it a critical area in which to assess the environmental impact of LUCC and propose strategies for minimizing its impact on net primary productivity (NPP). In this study, land cover was estimated from remote sensing images to quantify LUCC on the Sanjiang Plain from 2000 to 2010. A moderate resolution imaging spectroradiometer dataset of photosynthetically active radiation absorbed by vegetation canopy, a land cover map, meteorological data and other field data were used to develop a CASA productivity model and obtain NPP for the study area. The spatial and temporal changes of NPP from 2000 to 2010 were then analyzed. Finally, the effect of LUCC on regional NPP was estimated. The land cover maps indicated that farmland expansion and wetland reduction were the most significant landscape changes on the Sanjiang Plain from 2000 to 2010. NPP loss totaled 2900 Gg (1 Gg = 10(9) g) of carbon from 2000 to 2005. By 2010, NPP had increased by at least 731 Gg of carbon, corresponding to 1184 Gg of net dioxide carbon sequestration. It was thus confirmed that LUCC has a significant, direct influence on regional NPP on the Sanjiang Plain.

通讯作者地址: Yang, ST (通讯作者)

Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China.

地址:

[ 1 ] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China

[ 2 ] Beijing Normal Univ, Chinese Acad Sci,Sch Geog, Inst Remote Sensing Applicat,Res Ctr Remote Sensi, Beijing Key Lab Remote Sensing Environm & Digital, Beijing 100875, Peoples R China

[ 3 ] YRCC, Yellow River Inst Hydraul Res, Zhengzhou 450003, Peoples R China

[ 4 ] Shanxi Normal Univ, Coll Geog Sci, Linfen 041004, Peoples R China