Spatial–Temporal Evolution and Correlation Analysis of Ecosystem Service Value and Landscape Ecological Risk in Wuhu City

Jia, Yongyi; Tang, Xiaolan; Liu, Wei

doi:10.3390/su12072803

Cited by 31 publications

(24 citation statements)

References 42 publications

(43 reference statements)

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“…A comprehensive index database affected by ecological tourism risk for Yaoluoping Nature Reserve was established, according to the characteristics of land use, the effect of tourism development and the availability of data (Ayre and Landis 2012;Dale and Kline 2013;Liu et al 2016;Singh and Kumar 2018;Jia et al 2020). Then, ArcGIS10.2 and Yaahp12.1 were used to analyze and determine the impact factors that can be described and quantified after considering consultative experts' experience and discussion opinions.…”

Section: Evaluation Index Selectionmentioning

confidence: 99%

Ecotourism risk assessment in Yaoluoping Nature Reserve, Anhui, China based on GIS

Tang

et al. 2022

Environ Earth Sci

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As tourism development and human disturbance increase, they have been affecting the functional structure distribution, sustainable utilization of resources, and ecological benefits of nature reserves. At the same time, ecological risk has increased significantly. This study proposes ecotourism development patterns for risk areas at each level, to provide a basis for stabilizing and promoting the ecological sustainable development of nature reserves. Yaoluoping National Nature Reserve in China is used as a study case. Based on GaoFen-2 satellite data within the reserve area in 2017, ENVI, Fragstats and ArcGIS10.2 are used for land use classification as well as evaluation indicators selection and analysis. The ecotourism risk assessment model of the reserve is constructed, which is also imbedded with analytic hierarchy process and Ecological Risk Index. The model consists of landscape ecology, topographic hydrology, land use and human activities factors, and it can produce the distribution map at the ecotourism risk level of the reserve. Results show that the high ecotourism risk areas in the reserve are mainly located around rivers and roads, and they are distributed in strips. Overall, the ecotourism risk level in the northern part of the reserve is higher than that in the southern part. Nearly 90% of the regional ecotourism risk is at the middle or low level, implying the reserve in a healthy level overall. However, except for low-risk areas, the proportion of risk areas at all levels in the core zone is higher than that in the buffer zone.

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Section: Evaluation Index Selectionmentioning

confidence: 99%

Ecotourism risk assessment in Yaoluoping Nature Reserve, Anhui, China based on GIS

Tang

et al. 2022

Environ Earth Sci

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“…The spatial distribution relationship is divided into four clustering types [45]: high and high clusters (H-H), high and low clusters (H-L), low and high clusters (L-H), and low and low clusters (L-L) to explore the spatial correlation characteristics of HQ. The calculations were performed using GeoDa 1.14.0 software.…”

Section: Spatial Autocorrelation Analysismentioning

confidence: 99%

Spatiotemporal Evolution Analysis of Habitat Quality under High-Speed Urbanization: A Case Study of Urban Core Area of China Lin-Gang Free Trade Zone (2002–2019)

Chen

Wei

et al. 2021

Land

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This paper, examining the Pilot Free Trade Zone Lin-Gang Special Area in China (Shanghai), identifies the relationship between urban expansion and habitat change and analyzes the influence mechanism of habitat quality (HQ) on spatiotemporal distribution. The results show the following: (1) From 2002 to 2019, the HQ in the study area decreased significantly, and the spatial differences gradually expanded over time. The HQ was low in the southwest and high in the northeast, and low-level habitats gradually moved to the southwest. This spatiotemporal evolutionary law was consistent with the local government's 2003–2020 plans, which are composed of the joint development of a logistics park in the north, the Lin-Gang industrial zone in the west, and Shanghai port in the south. (2) Due to the interspersed distribution of high and low habitats caused by urban development and expansion, Moran's index in spatial autocorrelation decreased over time, which means the spatial agglomeration of HQ decreased and that homogeneity increased. (3) The spatial distribution of HQ was quantified by landscape analysis. The results showed that the fragmentation degree in high-level habitat areas increased with time, while the middle-level habitat areas first increased and then decreased, and the low-level habitat areas displayed the opposite change in trend to that of the middle habitat.

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“…Ecosystem service assessment and ecological risk assessment are closely correlated with each other. Both are important aspects of ecosystem quality assessment [1]. Ecosystem services are the supply of various material products and intangible services obtained by humans from the ecosystem.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Relationship between Ecosystem Service Value and Ecological Risk in Disaster‐Prone Mountainous Areas: Taking the Upper Reaches of the Minjiang River as an Example

Duan

Shao

Xiang

et al. 2022

Journal of Environmental and Public Health

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Mountainous areas are susceptible to disasters; the frequent occurrence of disasters drives the changes in ecosystem service value (ESV) and also brings certain ecological risk, which further increases the incidence of disasters. However, few scholars have investigated the spatiotemporal correlation between the ESV of disaster-prone mountainous areas and ecological risk index (ERI) with basin as the unit. This paper aims to clarify the spatial relationship between ESV and ERI under the changes of land use. Taking the upper reaches of the Minjiang River as the study area, the authors collected the land use data of 2000–2020, estimated ESV by the value equivalent factor per unit area method, and constructed the ERI. On this basis, the relationship between ESV and ERI was investigated in details. The results show the following: (1) From 2000 to 2020, the total ESV exhibited a fluctuating upward trend. The spatial distribution of ESV was greatly affected by slope and altitude; an important reason for the rising ESV in the study area is the increase of forest area and water area. (2) The upper reaches of the Minjiang River had a generally low ERI and relatively good overall ecoenvironment. After 2010, however, the ecological risk continued to rise. Most of the strongly high risk areas are areas with frequent human activities, such as low-altitude areas and river banks. (3) There is a spatial correlation and coupling between ESV and ERI in the study area; i.e., the strongly high ESV areas generally had a low ecological risk. The correlation intensified with the elapse of time. The changes in the service value of regional ecosystems driven by unreasonable land use will have a great impact on the ecoenvironment. By clarifying the spatiotemporal relationship between ESV and ERI, this research provides theoretical basis and data support to the formulation of ecoenvironmental restoration and protection plans for the upper reaches of the Minjiang River and to the coordinated development between society, economy, and ecoenvironment in the region.

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Spatial–Temporal Evolution and Correlation Analysis of Ecosystem Service Value and Landscape Ecological Risk in Wuhu City

Cited by 31 publications

References 42 publications

Ecotourism risk assessment in Yaoluoping Nature Reserve, Anhui, China based on GIS

Ecotourism risk assessment in Yaoluoping Nature Reserve, Anhui, China based on GIS

Spatiotemporal Evolution Analysis of Habitat Quality under High-Speed Urbanization: A Case Study of Urban Core Area of China Lin-Gang Free Trade Zone (2002–2019)

Spatiotemporal Relationship between Ecosystem Service Value and Ecological Risk in Disaster‐Prone Mountainous Areas: Taking the Upper Reaches of the Minjiang River as an Example

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