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. 2021 Mar 3;18(5):2490.
doi: 10.3390/ijerph18052490.

The Spatiotemporal Evolution Analysis of Ecosystem Pattern in Wenchuan (Magnitude 8.0) Earthquake Disaster Area, China

Affiliations

The Spatiotemporal Evolution Analysis of Ecosystem Pattern in Wenchuan (Magnitude 8.0) Earthquake Disaster Area, China

Bing Zhang et al. Int J Environ Res Public Health. .

Abstract

The ecological system is the basis of human survival and global environmental protection. In the process of development, countries will pay close attention to the changing state of the ecosystem. Taking the ecosystem pattern as the research object, a three-layer analysis method was proposed. The transfer matrix and landscape index were used as the first layer to analyze the basic changes. Grey correlation, range-coupling coordination and relative priority were used as the second layer to analyze the reasons of the change. The interval-entropy weight, TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution), was used as the third layer to evaluate the quality of the change. The ten counties in the worst-hit areas of the Wenchuan earthquake were analyzed from different angles, with county region, intensity zone and ecosystem as the objects, and the following results were obtained: (1) Taking Mianzhu City as an example, from 2000 to 2010 and 2018, the conversion ratio of forest, grassland and farmland is 54.24, 59.19, 17.21, 20.06, 37.39 and 52.86%, which were distributed in the north, central and southern parts, respectively. (2) Taking the ninth intensity zone as an example, the forest landscape fragmentation increased, disturbance decreased, and species diversity increased. There is a high influence and restriction relationship between ecosystem and landscape pattern in the total landscape area change. Additionally, the relationship between them tends to develop in a benign way. As of 2018, it is in the change state of moderate imbalance-ecosystem lag. (3) Taking the county ecosystem change as an example, urban type is the best in the counties of ecosystem change, of which Shifang is the best and Pingwu is the worst. The results show that this method can effectively compare and analyze the changes in the multi-regional ecosystem pattern, which has the characteristics of universality and can also be applied to the research of ecosystem pattern change in special regions.

Keywords: TOPSIS; coupling coordination; ecological system; entropy weight; grey correlation; landscape pattern.

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Conflict of interest statement

The authors declare no conflict of interest. The role of the funder is to define the concept, comment on the manuscript and confirm the final manuscript.

Figures

Figure 1
Figure 1
Map of the research area location.
Figure 2
Figure 2
Seismic intensity division map of the research area.
Figure 3
Figure 3
Map of ecosystem composition in 2018.
Figure 4
Figure 4
Spatial changes in ecosystems in Mianzhu City from 2005 to 2018. Note: The legend numbers represent each type in the ecosystem. Among them, 1–5 represent forest, grassland, wetland, farmland and urban. Each legend number represents a change in the type from left to right. For example, the number 12 represents the change from forest to grassland.
Figure 5
Figure 5
Statistics on urban characteristics change from 2000 to 2018 (county).

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