title: Geographic variations of ecosystem service intensity in Fuzhou City, China.
abstract: 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.
authors.affiliation: College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
authors.forename: Xisheng
authors.initials: X
authors.lastname: Hu
authors.affiliation: College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Hong
authors.affiliation: College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
authors.forename: Rongzu
authors.initials: R
authors.lastname: Qiu
authors.affiliation: College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
authors.forename: Tao
authors.initials: T
authors.lastname: Hong
authors.affiliation: College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
authors.forename: Can
authors.initials: C
authors.lastname: Chen
authors.affiliation: College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China; College of Ecology and Resource Engineering, Wuyi University, Nanping 354300, China. Electronic address: fjwucz@126.com.
authors.forename: Chengzhen
authors.initials: C
authors.lastname: Wu
mesh_terms: D002681:China; D002947:Cities; D003247:Conservation of Natural Resources / Q000379:methods*; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D040362:Geographic Information Systems
keywords: Ecosystem services; Fuzhou City; Geographically weighted regression; Semivariance analysis; Spatial autocorrelation