4.7 Article

Geographic variations of ecosystem service intensity in Fuzhou City, China

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 512, 期 -, 页码 215-226

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.scitotenv.2015.01.035

关键词

Ecosystem services; Spatial autocorrelation; Semivariance analysis; Geographically weighted regression; Fuzhou City

资金

  1. National Natural Science Foundation of China [41201100]
  2. Natural Science Foundation of Fujian Province [2012J01071]
  3. Science and Technology Major Project of the Hall of Science and Technology of Fujian [2012NZ0001]

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Ecosystem services are strongly influenced by the landscape configuration of natural and human systems. So they are heterogeneous across landscapes. However lack of the knowledge of spatial variations of ecosystem services constrains the effective management and conservation of ecosystems. We presented a spatially explicit and quantitative assessment of the geographic variations in ecosystem services for the Fuzhou City in 2009 using exploratory spatial data analysis (ESDA) and semivariance analysis. Results confirmed a significant and positive spatial autocorrelation, and revealed several hot-spots and cold-spots for the spatial distribution of ecosystem service intensity (ESI) in the study area Also the trend surface analysis indicated that the level of ESI tended to be reduced gradually from north to south and from west to east, with a trough in the urban central area, which was quite in accordance with land-use structure. A more precise cluster map was then developed using the range of lag distance, deriving from semivariance analysis, as neighborhood size instead of default value in the software of ESRI ArcGIS 10.0, and geographical clusters where population growth and land-use pressure varied significantly and positively with ESI across the city were also created by geographically weighted regression (GWR). This study has good policy implications applicable to prioritize areas for conservation or construction, and design ecological corridor to improve ecosystem service delivery to benefiting areas. (C) 2015 Elsevier B.V. All rights reserved.

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