Spatial-Temporal Dynamic Evaluation of Ecosystem Service Value and Its Driving Mechanisms in China

Abstract

Understanding the spatial differentiation and driving mechanisms of ecosystem service value (ESV) is helpful for the protection and sustainable development of the ecological environment. Despite the fact that various studies on ESV have been conducted in various regions, few studies have discussed the spatial differentiation characteristics of ESV in a long time series at a national scale, and even fewer studies have thoroughly examined the driving mechanism of the spatial differentiation of ESV from the perspective of different regions. On the basis of China’s land use data from 1990 to 2018, this paper used the methods of land use dynamics, the ESV evaluation model, hot spot analysis, the barycenter model, and the geographical detector model to study the temporal and spatial differentiation characteristics of land use and ESV in the study area. Moreover, it analyzes the driving mechanisms of the spatial differentiation of ESV at the national scale and in different regions of China. Our results showed the following: (1) Other land types have increased overall, with the exception of grassland. Obvious differences were observed in the single land use dynamics of each land type, especially the construction land, where farmland was the primary source of construction land. With the passage of time, the dynamic degree of comprehensive land use increased. (2) During the study period, ESV generally showed a decreasing trend, with distinct characteristics in high and low ESV areas. The center of gravity of ESV was constantly in Dingxi County and Pingliang City, Shaanxi Province, and its trajectory was generally “S”-shaped. (3) From the perspective of national scale and different regions, the dominant factors affecting the spatial differentiation of ESV were different, and the interaction among multiple factors was significantly stronger than that of a single factor. The findings of the study can provide more scientific decision-making services for China in order to promote regional environmental protection and develop ecological civilization.

Spatio-temporal evolution and trend prediction of urban ecosystem service value based on CLUE-S and GM (1,1) compound model

“…ESV plays a crucial role in assessing the stability of ecosystem structure and function, providing a valuable reference for regional ecological construction, ecological compensation, and policy formulation (Peng et al, 2021 ; Wei et al, 2022 ; Wu et al, 2020 ). Forestland has the most profound impact on the ESV in Shijiazhuang, highlighting the imperative need for attentive forest conservation and management.…”

Assessment of the Urban Expansion and Its Impact on the Eco-Environment—A Case Study of Hefei Municipal Area

“…The weight values and proportion values of each index are shown in Table 1. [24,25], combined with the economic value of natural food production of farmland in Hefei, the ecosystem service value coefficients of each landscape type in Hefei were estimated: forest land 851,668/km 2 , grassland 282,011/km 2 , arable land 269,157/km 2 , water area 1,790,617/km 2 , and unused land 16,359/km 2 . Due to the special nature of construction land, its ecosystem service value is not estimated for the time being.…”

Spatiotemporal Differentiation of Ecosystem Service Value and Its Drivers in the Jiangsu Coastal Zone, Eastern China

“…The single land use dynamic degree provides a visual representation of the dynamics of land use types over the study period [48]. This study employs the single land use dynamic degree to measure the speed and magnitude of change in a land use type over a given period, which is formulated as follows:…”