An integrated ecological security early-warning framework in the national nature reserve based on the gray model

Liu, Youyan; Wang, Chuan; Wang, Hong; Chang, Yong-Kui; Yang, Xiaogao; Zang, Fei; Liu, Xingming

doi:10.1016/j.jnc.2023.126394

Cited by 4 publications

(2 citation statements)

References 53 publications

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“…The ecological security of border areas and the inter-relationship between border development and ecological security have received extensive attention from the academic community, and the research results are rich and mature, involving the internal structural nature of the border area ecosystems themselves [6][7][8], vulnerability [9][10][11], and restoration [9,[12][13][14], and the interference [15][16][17], support [18], and services [19,20] generated by the interaction between ecosystems and human society. The evaluation method is mainly based on 3S technology, the PSR (Pressure-State-Response) model, and index system construction [2,21] as well as gray correlation analysis [22,23], the DPSIR model [24,25], ecological footprint analysis [26], and CA prediction models [27]. This research was carried out at all geographical scales.…”

Section: Review Of the Literaturementioning

confidence: 99%

Spatial Differences and Drivers of Tourism Ecological Security in China’s Border Areas

2023

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Tourism activities generally have a ∩-type lock on the level of tourism ecological security in an area, but when applied to the border areas of China, there are certain specificities in the spatial evolution of tourism ecological security (TES) compared to traditional findings. This paper measures tourism ecological security in China’s border areas from 2009 to 2020 by using the DPSIR model with the SBM-DEA and analyzes the spatial differences, evolutionary characteristics, and driving factors of tourism ecological security in border areas by using Pearson’s correlation coefficients, center of gravity models, and Geodetectors: (1) The overall tourism ecological security index of China’s border provinces is relatively good. Tourism activities do not completely affect the traditional “∩ lock” of the border provinces. The tourism ecological security level of the border provinces presents three spatial-temporal changes (“∩” type, “U” type, and “\” type) and four evolution trends (“high-high-high”, “middle-middle-medium”, “medium-low-low”, and “low-low-low”). (2) The overall tourism ecological security level in border areas is polarized between high and low levels, and the ecological security efficiency of the three large areas is spatially characterized as “Southwest Area > Northeast Area > Northwest Area”, and the center of gravity of ecological security is mostly concentrated in Xinjiang, Tibet, and Neimenggu, where the ecological security level is higher. (3) Social and environmental factors are the main factors that influence tourism ecological security in border areas, while economic factors account for a smaller proportion. Accordingly, this thesis also proposes the driving mechanism of the ecological security of tourism sites in border areas in China with a view to providing theoretical support for policy formulation.

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Section: Review Of the Literaturementioning

confidence: 99%

Spatial Differences and Drivers of Tourism Ecological Security in China’s Border Areas

2023

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“…National nature reserves play a vital role in establishing ecological security barriers at the national level [13][14][15][16]. Vegetation, as a key protected element within these reserves, is crucial for maintaining ecological security and habitat quality.…”

Section: Introductionmentioning

confidence: 99%

Vegetation Change and Conservation Evaluation of the Cangshan Erhai National Nature Reserve (Cangshan Mountain Part) in Southwest China

Chen

et al. 2023

Forests

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Vegetation and its spatiotemporal variations play a crucial role in regional ecological security and sustainable development. Examining vegetation dynamics in natural reserves provides valuable insights for optimizing vegetation patterns and management strategies. This study utilizes Landsat remote sensing imagery to investigate changes in vegetation pattern and coverage in the Cangshan mountain of the Cangshan Erhai National Nature Reserve, as well as assesses the effectiveness of conservation efforts. The results indicate the following: (1) The primary vegetation types in the Cangshan mountain include warm-temperate coniferous forests, deciduous broad-leaved forests, bamboo forests, and alpine meadows, exhibiting distinct vertical zonation patterns. The vegetated area expanded by 1146 hectares during the study period. (2) The average fractional of vegetation coverage (FVC) in the Cangshan mountain demonstrated an upward trend (0.82 in 1987 to 0.93 in 2017), with the proportion of highly FVC areas increasing from 59.67% in 1987 to 97.89% in 2017. (3) The vegetation landscape fragmentation in Cangshan mountain and various functional areas shows an increasing trend, while connectivity decreases, and is accompanied by a more intricate shape of the vegetation landscape. While conservation and management efforts have yielded certain results in safeguarding the vegetation in the Cangshan mountain, the degree of vegetation landscape fragmentation has intensified due to climate change and human activities. Thus, it is imperative for management authorities to promptly adjust protective measures within the Cangshan mountain. This study contributes to our understanding of vegetation changes within the Cangshan mountain and provides essential baseline information for optimizing and enhancing vegetation conservation management strategies within the reserve.

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Spatial Differences and Drivers of Tourism Ecological Security in China’s Border Areas

Wang¹,

Chen²,

Zhang³

2023

Preprint

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Tourism activities generally have a ∩-type lock on the level of tourism ecological security in an area, but when applied to the border areas of China, there are certain specificities in the spatial evolution of tourism ecological security (TES) compared to traditional findings. This paper measures tourism ecological security in China’s border areas from 2009 to 2020 by using the DPSIR model with the superefficient SBM-DEA and analyzes the spatial differences, evolutionary characteristics, and driving factors of tourism ecological security in border areas by using Pearson’s correlation coefficients, center of gravity models, and geographic probes: (1) The overall tourism ecological security index of China’s border provinces is relatively good. Tourism activities do not completely affect the traditional “∩ lock” of the border provinces. The tourism ecological security level of the border provinces presents three spatial-temporal changes (“∩” type, “U” type, “\” type) and four evolution trends (“high–high–high”, “middle–middle–medium”, “medium–low–low”, and “low–low–low”). (2) The overall tourism ecological security level in border areas is polarized between high and low levels, and the ecological security efficiency of the three large areas is spatially characterized as “Southwest Area &gt; Northeast Area &gt; Northwest Area”, and the center of gravity of ecological security is mostly concentrated in Xinjiang, Tibet, and Neimenggu, where the ecological security level is higher. (3) Social and environmental factors are the main factors that influence tourism ecological security in border areas, while economic factors account for a smaller proportion. Accordingly, this thesis also proposes the driving mechanism of the ecological security of tourism sites in border areas in China with a view to providing theoretical support for policy formulation.

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An integrated ecological security early-warning framework in the national nature reserve based on the gray model

Cited by 4 publications

References 53 publications

Spatial Differences and Drivers of Tourism Ecological Security in China’s Border Areas

Spatial Differences and Drivers of Tourism Ecological Security in China’s Border Areas

Vegetation Change and Conservation Evaluation of the Cangshan Erhai National Nature Reserve (Cangshan Mountain Part) in Southwest China

Spatial Differences and Drivers of Tourism Ecological Security in China’s Border Areas

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