globalchange  > 全球变化的国际研究计划
DOI: 10.3390/w11081628
WOS记录号: WOS:000484561500102
论文题名:
The NPP-Based Composite Indicator for Assessing the Variations of Water Provision Services at the National Scale
作者: Zheng, Haibo1; Zhang, Liwei1; Wang, Pengtao2,3; Li, Yingjie4
通讯作者: Zhang, Liwei
刊名: WATER
EISSN: 2073-4441
出版年: 2019
卷: 11, 期:8
语种: 英语
英文关键词: ecosystem services mapping ; water provision ; composite indicator ; land use and climate change ; China
WOS关键词: NET PRIMARY PRODUCTIVITY ; ECOSYSTEM SERVICES ; ECOLOGICAL RESTORATION ; TERRESTRIAL ECOSYSTEM ; CHINA ; MODELS ; CONSERVATION ; SATELLITE ; PROGRAM
WOS学科分类: Water Resources
WOS研究方向: Water Resources
英文摘要:

Water provision (WP) is an important service of the terrestrial ecosystem, which contributes to water availability for consumptive use and in situ water supply, sustains the production or flows of multiple ecosystem services (ES). Spatially explicit mapping of WP is critical for incorporating the ES concept into the decision-making processes of land-use and ecological conservation planning. Traditionally, regional complexes hydrological process models were simplified and used for mapping WP of the ecosystem at broad scales, but this approach is significantly limited by data accessibility and difficulty validating the results. To fill the gap, an NPP-based composite indicator model that simulates WP by multiplying NPP and its variations with the soil infiltration capacity factor, annual precipitation and the slope of the land surface is proposed in this paper. These parameters are chosen to map WP because they are closely related to hydrological processes. The model results were validated using observed runoff data of the eleven river basins in China. We then applied this approach to analyze the spatiotemporal changes of WP in China from 2000 to 2013. The results show that: (1) the average value of WP was lowest in the Northwest Arid Area ecoregions while the highest value of WP was in the South China ecoregion. (2) The linear trend of WP in the Loess Plateau and Hengduan Mountains ecoregions were increased while decreased in the other nine ecoregions. (3) The WP in the north of the Qinghai-Tibet Plateau presented a significant decrease trend mostly because the land cover change (e.g., grassland convert into dessert) and decreasing precipitation; the decreasing of the WP in Yunan-Guizhou Plateau are because the farmland convert into settlement land and the significant decrease of precipitation and significantly increase of temperature; the significant increase of the WP in Northeast China are because the increasing of forest and farmland, the grassland and wetland convert into farmland and forest, and the significant decrease of temperature and increase of precipitation; Although the increase of precipitation has played an important role in promoting WP, the significant increase of WP in the Loess Plateau was mainly due to the farmland convert into forest and grassland ecosystem types. The indicator explored by this research is benefiting for revealing the variations of WP under different land-use change and climate change, and informed the decision-making process of land-use policy or conservation planning at data-scarce regions or broaden spatial scales.


Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/144397
Appears in Collections:全球变化的国际研究计划

Files in This Item:

There are no files associated with this item.


作者单位: 1.Shaanxi Normal Univ, Sch Geog & Tourism, Dept Geog, Xian 710119, Shaanxi, Peoples R China
2.Xian Int Studies Univ, Sch Tourism, Xian 710128, Shaanxi, Peoples R China
3.Xian Int Studies Univ, Res Inst Human Geog, Xian 710128, Shaanxi, Peoples R China
4.Michigan State Univ, Ctr Syst Integrat & Sustainabil, E Lansing, MI 48823 USA

Recommended Citation:
Zheng, Haibo,Zhang, Liwei,Wang, Pengtao,et al. The NPP-Based Composite Indicator for Assessing the Variations of Water Provision Services at the National Scale[J]. WATER,2019-01-01,11(8)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Zheng, Haibo]'s Articles
[Zhang, Liwei]'s Articles
[Wang, Pengtao]'s Articles
百度学术
Similar articles in Baidu Scholar
[Zheng, Haibo]'s Articles
[Zhang, Liwei]'s Articles
[Wang, Pengtao]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Zheng, Haibo]‘s Articles
[Zhang, Liwei]‘s Articles
[Wang, Pengtao]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.