Detecting and analyzing soil phosphorus loss associated with critical source areas using a remote sensing approach
作者:Lou, HZ (Lou, Hezhen)[ 1 ] ; Yang, ST (Yang, Shengtian)[ 1 ] ; Zhao, CS (Zhao, Changsen)[ 1 ] ; Shi, LH (Shi, Liuhua)[ 2 ] ; Wu, LN (Wu, Linna)[ 1,3 ] ; Wang, Y (Wang, Yue)[ 4 ] ; Wang, ZW (Wang, Zhiwei)[ 1 ]
SCIENCE OF THE TOTAL ENVIRONMENT
卷: 573 页: 397-408
出版年: DEC 15 2016
The detection of critical source areas (CSAs) is a key step in managing soil phosphorus (P) loss and preventing the long-term eutrophication of water bodies at regional scale. Most related studies, however, focus on a local scale, which prevents a clear understanding of the spatial distribution of CSAs for soil P loss at regional scale. Moreover, the continual, long-term variation in CSAs was scarcely reported. It is impossible to identify the factors driving the variation in CSAs, or to collect land surface information essential for CSAs detection, by merely using the conventional methodologies at regional scale. This study proposes a new regional-scale approach, based on three satellite sensors (ASTER, TM/ETM and MODIS), that were implemented successfully to detect CSAs at regional scale over 15 years (2000-2014). The approach incorporated five factors (precipitation, slope, soil erosion, land use, soil total phosphorus) that drive soil P loss from CSAs. Results show that the average area of critical phosphorus source areas (CPSAs) was 15,056 km(2) over the 15-year period, and it occupied 13.8% of the total area, with a range varying from 12% to 23.0%, in a representative, intensive agricultural area of China. In contrast to previous studies, we found that the locations of CSAs with P loss are spatially variable, and are more dispersed in their distribtition over the long term. We also found that precipitation acts as a key driving factor in the variation of CSAs at regional scale. The regional-scale method can provide scientific guidance for managing soil phosphorus loss and preventing the long-term eutrophication of water bodies at regional scale, and shows great potential for exploring factors that drive the variation in CSAs at global scale. (C) 2016 Elsevier B.V. All rights reserved.
通讯作者地址: Zhao, CS (通讯作者)
Beijing Normal Univ, Sch Geog, 19 XinJieKouWai St, Beijing 100875, Peoples R China.
[ 1 ] Beijing Normal Univ, Beijing Key Lab Remote Sensing Environm & Digital, State Key Lab Remote Sensing Sci, Sch Geog, Beijing 100875, Peoples R China
[ 2 ] Harvard TH Chan Sch of Publ Hlth, Dept Environm Hlth, Landmark Ctr 404 M, 401 Pk Dr, Boston, MA 02215 USA
[ 3 ] Guizhou Univ, Coll Resource & Environm Engn, Guiyang 550025, Guizhou, Peoples R China
[ 4 ] Univ Wisconsin, Dept Geog, Madison, WI 53705 USA