Response of ecosystem services to socioeconomic development in the Yangtze River Basin, China

Abstract The provision of ecosystem services from multifunctional landscapes has contributed to human well-being. However, a general tendency exists to consider only marketed ecosystem services and to ignore non-marketed services, which has become more common when evaluating multiple-ecosystem services at the local level. In this study, we present an integrative index of multiple-ecosystem services ( IMES ) that avoids this tendency. Our main objective is to evaluate how socioeconomic factors interact with the spatial differences between the supply of and demand for multiple-ecosystem services. GlobCover data and a modified ecosystem service “matrix” are used to quantify and map ecosystem service supply and demand at the municipality level in the Yangtze River Basin, China. We used multiple regression analysis to detect relationships between ecosystem services and socioeconomic factors in municipalities to identify the main drivers of change in the supply of and demand for multiple-ecosystem services at the local level, respectively. The results revealed that 111 municipalities in the Yangtze River Basin (84.7% of the area) had an oversupply of multiple-ecosystem services; these municipalities were primarily situated in the western part of the upper reach and the southeast parts of the middle reach. Undersupplied areas were mainly situated in densely populated municipalities in the northern part of the lower reach and in agricultural municipalities in the northeastern part of the middle reach. The driving factors of changes in multiple-ecosystem services are significantly different not only in terms of the supply, demand and balance between the two but also among the three reaches. These differences in the driving factors among the three reaches can produce incorrect conclusions if an entire basin is considered, particularly for large basins. This information may be of interest to policymakers. The first principal component for the supply of and demand for multiple-ecosystem services exhibits a good correlation with the IMES in the Yangtze River Basin. Additionally, the integrative index of multiple-ecosystem services (including IMES s and IMES d ) in the study area is relatively reliable according to the sensitivity analysis. Therefore, IMES is an effective tool for aggregating the value of multiple-ecosystem services at local scales. This tool can be used to identify the drivers of changes in multiple-ecosystem services based on the relationships between IMES and socioeconomic factors at the municipality scale. IMES should be useful for policymakers and stakeholders because it can provide important information for local decision-making.