Evaluation on the Change Characteristics of Ecosystem Service Function in the Northern Xinjiang Based on Land Use Change

Abstract

Monitoring the interannual changes in land use and the temporal and spatial characteristics of the ecosystem services value (ESV) can help to comprehensively and objectively understand the distribution of regional ecological patterns. The mountain–oasis–desert transition zone in the northern Tianshan Mountain region of Xinjiang, China, is a geographically unique area with a highly sensitive ecosystem. As a data source, the study uses Landsat TM images from 1990, 2000, 2010, and 2018 along with GIS-extracted data to calculate the dynamic degree of land use. As well, the spatial and temporal patterns of land use change and ESV are quantitatively analyzed by using the equivalent factor method, sensitivity index, and spatial correlation studies. The results reveal the following: (1) From 1990 to 2018, the land use changes in the northern Tianshans are relatively drastic, mainly due to the increase in cultivated land, grassland and construction land, and the decrease in forest land, water, and unused land. (2) The ESV increases and then decreases, for a total loss of about 271.63 × 108 yuan. The largest decrease is in forest value, and the largest increase (around 129.94%) is in construction land. (3) The spatial distribution pattern of ESV in the northern Tianshans is apparent, showing high in the north and southwest, and low in the central and southeast portions of the study area. Additionally, there is a visible spatial correlation and aggregation in ESV. The present research can provide theoretical support for the environmental protection of the ecologically vulnerable area of the northern Tianshans as well as for further construction across the region.

Spatial and Temporal Variation of Land Surface Temperature and Its Spatially Heterogeneous Response in the Urban Agglomeration on the Northern Slopes of the Tianshan Mountains, Northwest China

“…However, the Turpan Basin has an altitude of −154.31 m, which is the region with the lowest altitude and the highest summer temperature in China. Therefore, the variation in LST is also quite different in the vertical direction [ 66 , 67 ]. This mountain–basin interaction constitutes the characteristic oasis ecosystem of the urban agglomeration on the northern slope of the Tianshan Mountains.…”

A Review of Ecosystem Services Based on Bibliometric Analysis: Progress, Challenges, and Future Directions

“…Only with good planning and decision-making by local governments can a closed loop of cities, ecosystems, and humans develop in a healthy and sustainable manner, and ecosystems can provide increasingly valuable goods and services that contribute directly and in-directly to human well-being [5]. Therefore, in future research, the value evaluation of ES should be deeply integrated into society [21], and the relationships between changes in the value of ES and urban planning decisions [92], human survival and development, employment rates, poverty alleviation, and well-being should be studied from the perspective of social ecology.…”

Trade-Offs and Synergies among 17 Ecosystem Services in Africa: A Long-Term Multi-National Analysis

“…There are several ways to evaluate trade-offs and synergies among different ESs, including (i) a set of correlation analysis methods that distinguish trade-offs from synergies, such as Pearson correlation analysis [6,58,59], (ii) Spearman's rank correlation coefficient [60,61], and (iii) other statistical methods [62]. These methods are based on correlation coefficients that directly reflect the strength of each pairwise ES and the positive or negative linear or monotonic values that can simply express trade-offs or synergies among ESs [63].…”