Ecological Sensitivity Evaluation and Explanatory Power Analysis of the Giant Panda National Park in China

Xu, Yuan; Li, Rui; Xue, Changbing; Xia, Zuhua

doi:10.1016/j.ecolind.2022.109792

Cited by 27 publications

(6 citation statements)

References 40 publications

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“…Many scholars have attempted to construct models [25] and theories [7] capable of comprehensively evaluating the effectiveness of conservation management of natural ecosystems to address the fact that forest tourism development and ecosystem management exhibit a relative imbalance [26][27][28]. Spatial ecological niche suitability modeling (SNSM) [29], super SBM-Malmquist modeling [30], geographic information system (GIS) with hierarchical analysis (AHP) [31], the critical (Criteria Importance Through Intercriteria Correlation) method [32], and class-level pattern metrics for Landsat and Sentinel imagery [17] have all been utilized in the context of ecological distribution of forest parks and sensitivity measurements. In addition, monetary values [33], changes in forest harvesting [34], knowledge inputs [35], and increased visitor arrivals [36,37] have all been chosen to predict the future sustainable development of forest parks.…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic Evaluation and Forecasting Analysis of Touristic Ecological Carrying Capacity of Forest Parks in China

Lu,

Chen

2023

Forests

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Forest park tourism ecological security is the cornerstone of ensuring ecological tourism safety. Delineating the ecological carrying capacity within forest parks is crucial for enhancing the security of forest tourism resources. This study utilizes statistical data from China’s forest parks spanning 2004 to 2019, employing methodologies to comprehensively depict the spatiotemporal dynamic characteristics of forest park tourism ecology in China. Subsequently, this research forecasts the prospective trajectory of forest park tourism ecology in China from 2020 to 2029. The research findings reveal that China’s forest park tourism ecological footprint exhibits oscillating characteristics, while the overall touristic ecological carrying capacity shows a sustained upward trend. However, a significant portion of regions experience deficits in tourism ecology. Notably, the coldspot regions with ecological security features demonstrate relative stability, while the hotspot areas gradually transition from inland to eastern coastal regions. Spatially and temporally, the disparities in touristic ecological profit and deficit depict a “U”-shaped distribution, more pronounced along the east–west axis than the north–south orientation. The migratory shift in the touristic ecological surplus and deficit center gravitates towards the southwest, demonstrating a fluctuating trend characterized by varying migration speeds. The discernible difference between the east and west concerning touristic ecological profit and deficit amplifies the likelihood of imbalance, surpassing disparities between the north and south. Projections suggest a deepening forest park tourism ecological deficit in China from 2020 to 2029, particularly accentuating the unsustainable development of forest park resources in economically developed regions. Through this study, a more comprehensive understanding of the current status and changing trends in the ecological carrying capacity of forest park tourism can be obtained. This research provides theoretical and practical support to promote sustainable tourism development and establishes a solid foundation for the ecological security of future forest park tourism.

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Section: Literature Reviewmentioning

confidence: 99%

Dynamic Evaluation and Forecasting Analysis of Touristic Ecological Carrying Capacity of Forest Parks in China

Lu,

Chen

2023

Forests

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“…Giant Panda National Park mainly protects the giant panda, an endemic species in China, and the establishment of Giant Panda National Park is conducive to enhancing the connectivity, coordination, and integrity of the giant panda habitat and realizing the stable reproduction of the giant panda population. Giant Panda National Park is located in the western region of China, spanning Sichuan, Gansu, and Shaanxi provinces, with a planned area of 2.2 × 10 4 km 2 [34]. Hainan Tropical Rainforest National Park, located in Hainan Province, with a planned area of 4269 km 2 , is the main habitat of Hainan gibbons, which are national-level protected animals in China.…”

Section: The Study Areamentioning

confidence: 99%

China’s National Park Construction Contributes to Carbon Peaking and Neutrality Goals

Wang

Song

Shi

et al. 2023

Land

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The official establishment of China’s national parks marks a new stage in the construction of China’s ecological civilization system. National parks systematically protect the areas with the richest biodiversity and the most complete ecosystem processes in China. This is beneficial not only for China’s natural conservation work, but also for the world’s response to environmental issues, such as climate change. Based on remote sensing images of land use in the four periods 1990, 2000, 2010, and 2020, this study calculated the land use changes in each national park during the corresponding period. Using the Plus model LEAS module, the driving factors of land use change in the national parks were studied and explored. In addition, the study used the InVEST model carbon storage module, using remote sensing images from different periods and the corresponding carbon pools of each national park as the basic data for model operation, to obtain the carbon storage changes in each national park over the past 30 years. Based on the hotspot analysis function, the hotspot areas of carbon storage changes in the national parks in the past 30 years were determined. Consequently, based on the CARS module of the PLUS model, the carbon storage in Northeast Tiger and Leopard National Park in 2030 was estimated under different scenarios. Research suggested that, except for Sanjiangyuan National Park where grassland is the main land use type, the other four national parks are all dominated by forests, and the expansion and changes in the main land use types were due to human activities. In the past 30 years, the carbon storage in China’s national park ecosystem has mainly shown a trend of first increasing and then gradually decreasing. Based on the changes in carbon storage in the national park, restoration scenarios were simulated for the core protected and generally controlled areas of Northeast Tiger and Leopard National Park. Under the ideal scenario, the highest value of carbon storage would be achieved by 2030, which would be 7,468,250 t higher than that in 2020. The present study provides a reference for the regional management of China’s national parks and further confirms that the implementation of the national park system can enhance China’s ability to achieve carbon peaking and neutrality goals.

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“…The indexes with the least influence were collapse and landslides. The influence degree of the assessment factors was vegetation coverage > water system > roads > land-use type > slope > biodiversity > elevation > residential areas > aspect > landslide > collapse [3,[57][58][59]. We selected eleven single factors as important indicators to evaluate the ecological sensitivity of the Erhai Lake Basin, which were closely related to its ecological environment.…”

Section: Characteristics Of Land-use Transfermentioning

confidence: 99%

Dynamic Spatiotemporal Land Use Evolution in China’s Plateau Lake Basins in Response to Landscape Ecological Sensitivity

Wang,

Song,

et al. 2023

Sustainability

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Ecological sensitivity measures an ecosystem’s reaction and restoration difficulty to exogenous disturbances. Regional ecological and environmental challenges can be identified using ecological sensitivity evaluation. The regional characteristics and environmental challenges of plateau lakes were quantified to create four assessment indexes: landform, natural conditions, human activities, and ecological security. Eleven ecologically sensitive characteristics were chosen. We evaluated the landscape ecological sensitivity of the Erhai Lake Basin, China, using ArcGIS and the analytical hierarchy process (AHP). The results showed that the Erhai Lake Basin was mostly forest from 1990 to 2020 and that the dynamic land-use attitude increased and then reduced. The cultivated land became mostly woods and grassland. The largest building area was tied to reverting farms to woods and urban construction. The highest weight was from single-factor ecologically sensitive vegetation covering, followed by river systems and roadways, and lowest was from landslides and collapses. The ecologically sensitive areas with more vegetation and a greater distance from roads and woodland are harder to recover from harm. According to the thorough sensitivity analysis, the study region’s high sensitivity area is 1102.36 km2 (26.16%) and the higher sensitivity area is 1177.10 km2 (27.93%). The ecological sensitivity increases from neighborhoods to nature reserves. High-sensitivity areas were in hilly woods and grasslands with few people. The low-sensitivity area was around water and homes. The dynamic stability of the area ecological environment influenced ecological sensitivity. This study aims to provide sustainable land use solutions for the Erhai Lake Basin and a scientific basis for managing and protecting ecologically vulnerable areas.

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Ecological Sensitivity Evaluation and Explanatory Power Analysis of the Giant Panda National Park in China

Cited by 27 publications

References 40 publications

Dynamic Evaluation and Forecasting Analysis of Touristic Ecological Carrying Capacity of Forest Parks in China

Dynamic Evaluation and Forecasting Analysis of Touristic Ecological Carrying Capacity of Forest Parks in China

China’s National Park Construction Contributes to Carbon Peaking and Neutrality Goals

Dynamic Spatiotemporal Land Use Evolution in China’s Plateau Lake Basins in Response to Landscape Ecological Sensitivity

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