Evaluation for the spatiotemporal patterns of ecological vulnerability and habitat quality: implications for supporting habitat conservation and healthy sustainable development

Wang, Quan; Wang, Haijun

doi:10.1007/s10653-022-01328-3

Cited by 10 publications

(5 citation statements)

References 101 publications

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“…Habitat quality values range from 0 to 1, with higher values representing better habitat quality in the region. The specific calculation formulae are detailed in [28], and the parameters set in the model, including the sensitivity of threat factors (Table 1), maximum impact distance and weight, and attenuation type (Table 2), mainly refer to research on the habitat quality module of the InVEST model by relevant scholars at home and abroad [29][30][31] and the InVEST 3.2 user's manual, combined with relevant experts' recommendations for assigning values.…”

Section: Invest Model For Habitat Assessmentmentioning

confidence: 99%

“…In recent years, scholars at home and abroad have carried out much research on habitat quality and proposed various assessment models, mainly the RSEI [15], InVEST [16][17], and GARP models [18], the ecological footprint method [19], and pressure-state response (PSR) [20]. Wang et al [21] used the InVEST model to assess the habitat quality of Wuhan in 2020, and the results showed that there was significant spatial variation in habitat quality; overall, it was low, with a high degree of degradation. Zhang et al [22] used the InVEST model to assess the habitat quality of Wenzhou City from 1992 to 2015, revealing the spatial and temporal characteristics of habitat quality under the influence of land use change and socioeconomic and climatic factors.…”

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confidence: 99%

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Spatiotemporal Evolution of Habitat Quality in Typical Resource- Depleted Cities in China Based on Land Use Changes

Li,

Xu,

Zhai

et al. 2023

Pol. J. Environ. Stud.

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Resource-based cities, as a special type of city, are the proof of an era, and their development process has obvious stage characteristics. Currently, 262 cities of different levels in China have been identified as resource-based cities. Resource-based cities have made important contributions to urban development and national construction to some extent. However, due to their own particularities, most resource-based cities are faced with resource exhaustion. At present, 69 cities in China are identified as resource-exhausted cities; therefore, it is necessary to study land use change and habitat quality in such cities. Yu et al. [1] analyzed the relationship between land use change and food, energy and water in Shizuishan City, China, it is found that the rapid transformation of resource-depleted cities is to achieve a balance among the economy, society, and ecology. Wang et al. [2] used the residual intelligent module network classification method to classify the land use types in Jiaozuo city from 1993-2020, and used PCA to analyse the driving factors of land use changes,

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Section: Invest Model For Habitat Assessmentmentioning

confidence: 99%

mentioning

confidence: 99%

Spatiotemporal Evolution of Habitat Quality in Typical Resource- Depleted Cities in China Based on Land Use Changes

Li,

Xu,

Zhai

et al. 2023

Pol. J. Environ. Stud.

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“…Hence, investigating the correlation between landscape patterns and HQ and effectively forecasting and assessing the dynamics of LUCC pattern evolution under varying scenarios are crucial ecological issues for the future and hold significant importance in safeguarding regional biodiversity and promoting sustainable LUCC practices [9]. HQ is a pivotal parameter of ecosystem service functionality and ecosystem health [10], and assessing HQ and developing models for predicting its future evolution based on landscape patterns are crucial for comprehending the ecological stability of watersheds [11]. Many HQ models have been developed internationally according to research needs, the most common of which is the habitat suitability model HIS [12], C-Plan [13], and Maxent [14].…”

Section: Introductionmentioning

confidence: 99%

Temporal and Spatial Variations in Landscape Habitat Quality under Multiple Land-Use/Land-Cover Scenarios Based on the PLUS-InVEST Model in the Yangtze River Basin, China

Guo

Wang

et al. 2023

Land

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Despite the Yangtze River Basin (YRB)’s abundant land and forestry resources, there is still a dearth of research on forecasting habitat quality changes resulting from various geographic and environmental factors that drive landscape transformations. Hence, this study concentrates on the YRB as the focal area, with the aim of utilizing the Patch Landscape Upscaling Simulation model (PLUS) and the habitat quality model to scrutinize the spatial distribution of landscape patterns and the evolution of HQ under four scenarios: the natural development scenario (NDS), farmland protection scenario (CPS), urban development scenario (UDS), and ecological protection scenario (EPS), spanning from the past to 2030. Our results show that (1) from 2000 to 2020, the construction land in the YRB expanded at a high dynamic rate of 47.86% per year, leading to a decrease of 32,776 km2 in the cultivated land area; (2) the UDS had the most significant expansion of construction land, followed by the NDS, CPS, and EPS, which had higher proportions of ecologically used land such as forests and grasslands; (3) from 2000 to 2020, the HQ index ranged from 0.211 to 0.215 (low level), showing a slight upward trend, with the most drastic changes occurring in the low-level areas (−0.49%); (4) the EPS had the highest HQ (0.231), followed by the CPS (0.215), with the CPS increasing the HQ proportion of the lower-level areas by 2.64%; (5) and in addition to government policies, NDVI, DEM, GDP, and population were also significant factors affecting landscape pattern and changes in habitat quality.

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“…Current research focuses on the evaluation of urban human settlement quality in a single year or during a specific time period [15,16]. Research must be conducted on sustainability [17]. There is a lack of discussion on the evolution of urban human settlement vulnerability and its mechanisms in a long-term time series.…”

Section: Introductionmentioning

confidence: 99%

Urban Human Settlement Vulnerability Evolution and Mechanisms: The Case of Anhui Province, China

Song

2023

Land

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In this paper, taking the jurisdiction of Anhui Province as the research area, a vulnerability assessment index system of human settlements was constructed from “exposure–sensitivity–coping ability”. Based on the GIS spatial analysis method, the spatial and temporal evolution characteristics of human settlements in Anhui Province were analyzed. The influences of human factors and natural factors on the spatial differentiation of human settlement vulnerability were explored by using geographic detectors, and the driving mechanism of the evolution of human settlement vulnerability was analyzed. An analysis of the results showed the following: ① With a change in the time scale, the human settlement vulnerability index showed a trend of decreasing year by year, the exposure and sensitivity show a downward trend year by year in the three major subsystems, and the coping ability shows an upward trend year by year. ② The evolution of the vulnerability subsystems of exposure, sensitivity, and coping ability in human settlement environments showed the directions of “medium–high–low (M−H−L)” in the early stage, “low–high–medium (L−H−M)” in the middle stage, and “low–medium–high (L−M−H)” in the later stage. ③ The causes of high vulnerability were as follows: The leading factors in the early stage were natural factors, the leading factors in the middle period were natural and human factors, and the leading factors in the later stage were human factors. ④ One−factor and two−factor interactive detection using a geodetector showed that urbanization, industrialization, land use control, and per capita income levels have become key and “short−board” factors that control the vulnerability of human settlements.

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Evaluation for the spatiotemporal patterns of ecological vulnerability and habitat quality: implications for supporting habitat conservation and healthy sustainable development

Cited by 10 publications

References 101 publications

Spatiotemporal Evolution of Habitat Quality in Typical Resource- Depleted Cities in China Based on Land Use Changes

Spatiotemporal Evolution of Habitat Quality in Typical Resource- Depleted Cities in China Based on Land Use Changes

Temporal and Spatial Variations in Landscape Habitat Quality under Multiple Land-Use/Land-Cover Scenarios Based on the PLUS-InVEST Model in the Yangtze River Basin, China

Urban Human Settlement Vulnerability Evolution and Mechanisms: The Case of Anhui Province, China

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