Abstract
The ecosystem service value on Ximen Island was calculated using the value table of ecosystem services proposed by Xie et al. according to the land use data from 2006–2017. The STIRPAT model was used to analyze the driving mechanisms of ecosystem services on Ximen Island. The results show that the ecosystem service value of Ximen Island has gradually decreased from 2006 to 2017, and the value of ecosystem services has decreased by 15.842 million Yuan over 10 years. Applying the principal component analysis method can effectively eliminate the collinearity problem in the process of regression analysis. The value of ecosystem services has a high correlation with socio-economic variables. The total population, GDP per capita, the increased rate of forestry output, the proportion of primary industry, and the Engel coefficient are all important driving factors that affect the change of valuable ecosystem services on Ximen Island. Among them, the proportion of primary industry is positive, and the other 4 indicators are negative. The rate of increase in forestry output has the greatest negative impact. A 1% increase in the total population, in the GDP per capita, in the rate of forestry output, in the proportion of primary industry, and in the Engel coefficient results in ecosystem service values varying by 0.199%, 0.165%, 0.289%, -0.144%, and 0.252%, respectively.
Highlights
Ecosystem services refer to all the benefits that humans receive from ecosystems [1]
The results show that the main types of capabilities of ArcGIS and ENVI to derive land use data land use include a total of 12 categories, i.e., Woodland, from the Ximen Island remote sensing images
The study employs the research results of Xie and uses the model proposed by Constanza to calculate the ecosystem service value of Ximen Island from 2006 to 2017
Summary
Ecosystem services refer to all the benefits that humans receive from ecosystems [1]. Land use or land-cover change caused by human activities is one of the most important driving forces These activities affect the ecology of a region in three primary ways: changing the spatial distribution of the biological resources, changing ecosystem diversity, and altering ecological processes. The mechanisms by which human activities act on regional ecosystem services are relatively complex, as the relationship between the two is nonlinear and complex These mechanisms largely affect the spatial heterogeneity and temporal variation characteristics in the price of ecosystem services. Studies on spatio-temporal changes and driving mechanisms of the value of island ecosystem services have only been conducted for Jintang Island and Cezi Island in Zhejiang Province [17,18].
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