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Xu Y, Tang J. Examining the rationality of Giant Panda National Park's zoning designations and management measures for habitat conservation: Insights from interpretable machine learning methods. Science of The Total Environment 2024; 920:170955. [PMID: 38354805 DOI: 10.1016/j.scitotenv.2024.170955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 11/24/2023] [Accepted: 02/11/2024] [Indexed: 02/16/2024]
Abstract
Examining the rationality of zoning designations and management measures in the initial establishment of national parks in China is of great significance for supporting decision-making regarding habitat conservation. There exists a research gap in exploring the threshold effects of both environmental and human-related factors on habitat distribution in the context of national parks. However, it may be a challenge because of the limited species distribution data. Our study aims to put forward an analytical framework that integrates species distribution models (SDMs) with interpretable machine learning methods. A case study was performed in the Sichuan region of the Giant Panda National Park (GPNP). We constructed a SDM based on the Random Forest algorithm and made use of accessible remote sensing and big data to predict the distribution of giant panda habitat (GPH) in 2020. Interpretable machine learning methods, namely Partial dependence plots (PDPs) and SHapley Additive exPlanations (SHAP), were utilized to uncover the underlying mechanisms of environmental and anthropogenic variables influencing the GPH distribution. Through GIS overlay analysis, areas where conflicts between human settlements, transportation infrastructure, and GPH exist were identified. Our findings indicated a potential 28.44 % decrease in GPH from 2014 to 2020. Environmental factors such as temperature, topography, and vegetation type, as well as anthropogenic factors including distance to built-up areas and transportation infrastructure, notably distance to national roads, provincial roads and city arterial roads, influenced the GPH distribution with threshold effects significantly. The overlay analysis revealed escalated conflicts between human settlements, transportation infrastructure, and GPH in 2020 compared to 2014. Currently, the Sichuan region of the GPNP implements two zones: a core protection zone and a general control zone, covering 63.71 % of the GPH, while 36.29 % remains outside the management scope. Drawing from the analysis above, this study provided suggestions for the adjustment of zoning designations and management measures in the GPNP.
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Affiliation(s)
- Yuhan Xu
- Department of Landscape Architecture, School of Architecture, Southeast University, Nanjing 210096, China.
| | - Jun Tang
- Department of Landscape Architecture, School of Architecture, Southeast University, Nanjing 210096, China.
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Chen J, Wang J, Li H, Xu J, Huang J, Deng Y. Optimizing functional zoning for Dalingshan Forest Park in China through microcosmic human disturbance evaluation. Environ Sci Pollut Res Int 2024; 31:1195-1211. [PMID: 38038919 DOI: 10.1007/s11356-023-31204-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 11/20/2023] [Indexed: 12/02/2023]
Abstract
Human disturbance stands as a prominent factor influencing the ecological environment within natural protected areas. Presently, the issue of balancing human activities and ecological preservation has emerged as a critical concern in the construction of China's natural protected area system. Functional zoning serves as the cornerstone of natural protected area management and represents a pivotal tool in achieving this equilibrium. This study endeavors to introduce a set of functional zoning methods for natural protected areas based on human disturbance assessments. Utilizing Dalingshan Forest Park in Dongguan city which is known for its significant human disturbances as a case study, field surveys were conducted to identify various types of small-scale and understory-hidden human disturbances, such as residential areas, roads, tourist areas, forestry areas, and energy facilities. Subsequently, a microcosmic human disturbance model tailored to forested areas was developed using the analytic hierarchy process. By integrating the findings of macrocosmic human disturbance assessments conducted concurrently by the research group, a functional zoning plan for Dalingshan Forest Park was proposed. The results show that ecological conservation zones within the park should be established in three specific areas, primarily in regions with low-level microcosmic human disturbance (levels 1 and 2) and terrain fluctuations ≥110 m. In contrast, the rational use zone is notably influenced by tourist infrastructure and road networks, predominantly located in regions with high human activity, such as popular tourist destinations and areas with road classifications and vehicular traffic. The microcosmic human disturbance assessment method proposed in this study enhances the rationality and accuracy of natural protected area functional zoning. It provides a more scientifically grounded research approach for similar studies concerning natural protected area functional zoning and contributes valuable insights for the further advancement of China's efforts in the integration and optimization of natural protected areas.
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Affiliation(s)
- Jiawei Chen
- School of Architecture and Urban Planning, Guangzhou University, Guangzhou, 510006, China
| | - Jie Wang
- School of Architecture and Urban Planning, Guangzhou University, Guangzhou, 510006, China
| | - Haiyun Li
- School of Architecture and Urban Planning, Guangzhou University, Guangzhou, 510006, China
| | - Jin Xu
- School of Architecture and Urban Planning, Guangzhou University, Guangzhou, 510006, China.
| | - Jinling Huang
- School of Resources and Planning, Guangzhou Xinhua University, Guangzhou, 510310, China
| | - Yi Deng
- School of Architecture and Urban Planning, Guangzhou University, Guangzhou, 510006, China
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Yang Q, Zhang P, Qiu X, Xu G, Chi J. Spatial-Temporal Variations and Trade-Offs of Ecosystem Services in Anhui Province, China. Int J Environ Res Public Health 2023; 20:855. [PMID: 36613177 PMCID: PMC9819523 DOI: 10.3390/ijerph20010855] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 12/21/2022] [Accepted: 12/26/2022] [Indexed: 06/17/2023]
Abstract
Research on the spatiotemporal evolution and trade-offs of ecosystem services (ESs) is important for optimizing the ecological security barrier system and promoting coordinated socio-economic development. Natural factors, e.g., climate change, and human factors, e.g., unreasonable land use, have impacted and damaged ecosystem structure and function, leading to challenges with ES trade-offs and the spatial identification of priority protected areas. Here, the spatiotemporal evolution characteristics of five ESs (water yield, nitrogen export, soil retention, carbon storage, and habitat quality) in Anhui Province, China, from 2000-2020 were analyzed based on the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model. The trade-offs and spatial patterns among different ESs were explored using Pearson correlation and hotspot analyses; the dynamics of natural growth, cultivated land protection, and ecological protection scenarios for ESs in 2030 were simulated and analyzed by coupling InVEST with the patch-generating land use simulation (PLUS) model. The results reveal the following. (1) From 2000-2020, increases in water yield and soil retention occurred, with concurrent declines in the other services; the total nitrogen high-value area was mainly concentrated in the plain, with the other services' high-value areas mainly concentrated in the Dabieshan and Southern Anhui Mountains, with each ES showing similar spatial distributions across years. (2) The ESs were mainly synergistic, with trade-offs mainly between nitrogen export and other services. (3) Hotspot overlap between water yield and the other ESs was relatively low; no more than 6.53% of ecosystems per unit area provided five ESs simultaneously. (4) Other than water yield, the ecological protection scenario was more conducive to improving ecosystem functions. This study's results indicate inadequate synergy among ESs in Anhui Province; competition among land types must be further balanced in the future. This study provides a basic reference for implementing ecological projects and constructing ecological security patterns.
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Affiliation(s)
- Qiangqiang Yang
- School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan 750021, China
| | - Pian Zhang
- School of Management Engineering, Wanjiang University of Technology, Maanshan 243000, China
| | - Xiaocong Qiu
- School of Life Sciences, Ningxia University, Yinchuan 750021, China
| | - Guanglai Xu
- School of Geography and Tourism, Anhui Normal University, Wuhu 241003, China
- Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-founded by Anhui Province and Ministry of Education, Anhui Normal University, Wuhu 241003, China
| | - Jianyu Chi
- School of Geography and Tourism, Anhui Normal University, Wuhu 241003, China
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Duan X, Chen Y, Wang L, Zheng G, Liang T. The impact of land use and land cover changes on the landscape pattern and ecosystem service value in Sanjiangyuan region of the Qinghai-Tibet Plateau. J Environ Manage 2023; 325:116539. [PMID: 36274338 DOI: 10.1016/j.jenvman.2022.116539] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 10/06/2022] [Accepted: 10/13/2022] [Indexed: 06/16/2023]
Abstract
Decades of intensifying human activities have caused dramatic changes in land use and land cover (LULC) in the ecologically fragile areas of the Qinghai-Tibet Plateau, which have led to significant changes in ecosystem service value (ESV). Taking the ecologically fragile Sanjiangyuan region of the Qinghai-Tibet Plateau as the research object, we focused on understanding the impact of LULC changes on the Sanjiangyuan's landscape pattern and its corresponding ESV, which was combined with a Markov-Plus model to predict LULC changes in 2030. The results showed: (1) from 2000 to 2020, the LULC of Sanjiangyuan has changed to varying degrees, respectively. In the central and southern regions where animal husbandry is the mainstay activity, the area of grass land converted to bareland had expanded; (2) from 2000 to 2010, the total regional ESV increased sharply. However, the total amount of ESV decreased from 2010 to 2020; (3) the overall ESV in the study area was observed to be trending down and is expected to decrease by approximately 4.25 billion CNY by 2030; (4) the fragmentation and complexity of regional landscape patterns will negatively affect local ecosystem stability and biodiversity. Overall, there is a strong temporal and spatial correlation between LULC and ESV. This study will provide a reference for the local government to provide targeted and sustainable land management policies, thereby promoting the improvement of the Qinghai-Tibet Plateau regional ecology value.
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Affiliation(s)
- Xinyi Duan
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yan Chen
- State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Chinese Academy of Environmental Planning, Beijing, 100012, China.
| | - Lingqing Wang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Guodi Zheng
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Tao Liang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
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Li Z, Zhu J. Assessment and spatial partitioning of ecosystem services importance in Giant Panda National Park: To provide targeted ecological protection. PLoS One 2022; 17:e0278877. [PMID: 36490286 PMCID: PMC9733857 DOI: 10.1371/journal.pone.0278877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 11/24/2022] [Indexed: 12/13/2022] Open
Abstract
Giant Panda National Park is crucial for China's ecological security strategic pattern known as "two screens and three belts." The importance assessment and classification of ecosystem services in giant panda national parks has an important guiding role in the protection of giant panda national park ecosystems. In this study, we examined four indicators of habitat quality: carbon storage, water conservation, and soil and water conservation. Combined with data analysis were used to evaluate and classify the importance of ecosystem services in the study area. The results showed that: (1) the overall habitat quality index in the study area was relatively high, and the index was generally greater than 0.5. The total carbon storage was 60.5 × 106 t, and the highest carbon storage in the region was 16.9533 t. The area with the highest water conservation reached 715.275 mm. The total soil conservation was 2555.7 × 107 t. (2) From the perspective of spatial characteristics, the habitat quality in the study area presented a spatial distribution pattern of high-low from west to east. The carbon storage presented a spatial distribution pattern of high-low from east to west. The soil conservation presented a spatial pattern of decreasing from west to east, and the water conservation increased from west to east. (3) We divided the research into four levels of importance: The area of general importance in the study site accounted for 1017.58 km2 and was distributed in the northwest of the study site. The moderately important areas were distributed in the east of the study site, with an area of 1142.40 km2. The highly important areas were distributed in the west of the study site, totaling 2647.84 km2. Extremely important areas were distributed in the middle, with an area of 1451.32 km2. (4) The grid cell scale of the study area was used as the dataset to determine the weighting. This makes the weighting more objective and ensures that the spatial distribution of areas with different degrees of importance will be more accurate.
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Affiliation(s)
- Zhigang Li
- School of Management Science, Chengdu University of Technology, Chengdu, China
- Protection Policy Research Center for Key Ecological Functional Areas in the Upper Reaches of the Yangtze River, China
| | - Jiaxing Zhu
- College of Earth Sciences, Chengdu Univ. of Technology, Chengdu, PR China
- * E-mail:
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Ma B, Zeng W, Hu G, Cao R, Cui D, Zhang T. Normalized difference vegetation index prediction based on the delta downscaling method and back-propagation artificial neural network under climate change in the Sanjiangyuan region, China. ECOL INFORM 2022. [DOI: 10.1016/j.ecoinf.2022.101883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Duan S, Han F, Li F, Yang Z. Spatial evaluation of the ecological value importance of national park in Yarlung Tsangpo Grand Canyon. J Environ Manage 2022; 320:115943. [PMID: 36056501 DOI: 10.1016/j.jenvman.2022.115943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 07/30/2022] [Accepted: 08/02/2022] [Indexed: 06/15/2023]
Abstract
The Yarlung Tsangpo Grand Canyon (YTGC) region is one of China's vital gene banks of mountain biological species resources. It is also an experimental site for biologists worldwide to study how organisms differentiate in the exceptional environment of the plateau. Evaluating the importance of the ecological value and identifying extremely important regions to national parks to implement the strictest conservation is significant to protecting and preserving global biodiversity. YTGC as the study area, and a comprehensive evaluation model conformed to ecological value attributes was established: (i) evaluation of ecosystem service function, including water retention, soil and water conservation and biodiversity maintenance; (ii) evaluation of ecological vulnerability, including soil erosion and geological disasters; (iii) evaluation of ecological conservation, including Important Bird and Biodiversity Areas (IBAs), Global 200 Ecoregions (G200), Biodiversity Hotspots (BH), Endemic Bird Areas (EBAs) and Priority Areas for Biodiversity Conservation in China (PABCC). Identifying as extremely important, important, and general important regions, then mosaicked with the maximum value. The results show: first, the extremely important regions of ecosystem service are about 30,242.90 km2 (45.64%), distributed in most regions flowing southwest along the Yarlung Zangbo River. Second, the ecological vulnerability regions are about 26,561.65 km2 (40.06%), concentrated and contiguously distributed in the valley regions along the Yarlung Zangbo River and the high-altitude glacier-covered regions. Third, the extremely important regions for ecological conservation are mainly distributed in Milin County (39.86%) and Medog County (36.33%), which also presents a clustered distribution in the highly high mountains with apparent differentiation along the Yarlung Zangbo River valley in Milin County and the vertical natural belt centered on the Namjagbarwa and the Galabai Leifeng. Finally, we proposed that the integrated extremely important regions of ecological value should be divided into national parks for strict conservation; at the same time, it is also a reference for considering the construction of biodiversity conservation corridors when roads pass through the extremely important regions. This study presents a reliable and integrative method for effectively identifying conservation priority areas at small-medium scales, which can be applied to other PAs planning and management.
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Affiliation(s)
- Shuaifei Duan
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Fang Han
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Feng Li
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China; Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi, 830011, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhaoping Yang
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
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Rule A, Dill SE, Sun G, Chen A, Khawaja S, Li I, Zhang V, Rozelle S. Challenges and Opportunities in Aligning Conservation with Development in China's National Parks: A Narrative Literature Review. Int J Environ Res Public Health 2022; 19:12778. [PMID: 36232085 PMCID: PMC9566203 DOI: 10.3390/ijerph191912778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 09/26/2022] [Accepted: 10/04/2022] [Indexed: 06/16/2023]
Abstract
As part of its effort to balance economic development with environmental objectives, China has established a new national park system, with the first five locations formally established in 2021. However, as the new parks all host or are proximate to human populations, aligning the socioeconomic needs and aspirations of local communities with conservation aims is critical for the long-term success of the parks. In this narrative review, the authors identify the ecological priorities and socioeconomic stakeholders of each of the five national parks; explore the tensions and synergies between these priorities and stakeholders; and synthesize the policy recommendations most frequently cited in the literature. A total of 119 studies were reviewed. Aligning traditional livelihoods with conservation, limiting road construction, promoting education and environmental awareness, and supporting the development of a sustainable tourism industry are identified as important steps to balance conservation with economic development in the new national parks.
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Zhao L, Du M, Du W, Guo J, Liao Z, Kang X, Liu Q. Evaluation of the Carbon Sink Capacity of the Proposed Kunlun Mountain National Park. Int J Environ Res Public Health 2022; 19:ijerph19169887. [PMID: 36011521 PMCID: PMC9408621 DOI: 10.3390/ijerph19169887] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/08/2022] [Accepted: 08/08/2022] [Indexed: 05/06/2023]
Abstract
National parks, as an important type of nature protected areas, are the cornerstone that can effectively maintain biodiversity and mitigate global climate change. At present, China is making every effort to build a nature-protection system, with national parks as the main body, and this approach considers China's urgent goals of obtaining carbon neutrality and mitigating climate change. It is of great significance to the national carbon-neutralization strategy to accurately predict the carbon sink capacity of national park ecosystems under the background of global change. To evaluate and predict the dynamics of the carbon sink capacity of national parks under climate change and different management measures, we combined remote-sensing observations, model simulations and scenario analyses to simulate the change in the carbon sink capacity of the proposed Kunlun Mountain National Park ecosystem over the past two decades (2000-2020) and the change in the carbon sink capacity under different zoning controls and various climate change scenarios from 2020 to 2060. Our results show that the carbon sink capacity of the proposed Kunlun Mountain National Park area is increasing. Simultaneously, the carbon sink capacity will be improved with the implementation of park management and control measures; which will be increased by 2.04% to 2.13% by 2060 in the research area under multiple climate change scenarios. The research results provide a scientific basis for the establishment and final boundary determination of the proposed Kunlun Mountain National Park.
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Affiliation(s)
- Li Zhao
- School of Human Settlements and Civil Engineering, Xi′an Jiaotong University, Xi′an 710049, China
- Northwest Surveying, Planning Institute of National Forestry and Grassland Administration, Key Laboratory National Forestry Administration on Ecological Hydrology and Disaster Prevention in Arid Regions, Xi’an 710048, China
| | - Mingxi Du
- School of Public Policy and Administration, Xi’an Jiaotong University, Xi’an 710049, China
- Correspondence: (M.D.); (Q.L.)
| | - Wei Du
- School of Public Policy and Administration, Xi’an Jiaotong University, Xi’an 710049, China
| | - Jiahuan Guo
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China
| | - Ziyan Liao
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China
| | - Xiang Kang
- School of Public Policy and Administration, Xi’an Jiaotong University, Xi’an 710049, China
| | - Qiuyu Liu
- School of Public Policy and Administration, Xi’an Jiaotong University, Xi’an 710049, China
- Institute of Environment Sciences, Department of Biology Sciences, University of Quebec at Montreal, Case Postale 8888, Succ. Centre-Ville, Montreal, QU H3C 3P8, Canada
- Correspondence: (M.D.); (Q.L.)
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Wei Y, Wang W, Tang X, Li H, Hu H, Wang X. Classification of Alpine Grasslands in Cold and High Altitudes Based on Multispectral Landsat-8 Images: A Case Study in Sanjiangyuan National Park, China. Remote Sensing 2022; 14:3714. [DOI: 10.3390/rs14153714] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Land-use–cover change (LUCC)/vegetation cover plays a critical role in Earth system science and is a reflection of human activities and environmental changes. LUCC will affect the structure and function of ecosystems and a series of other terrestrial surface processes, such as energy exchange, water circulation, biogeochemical circulation, and vegetation productivity. Therefore, accurate LUCC mapping and vegetation cover monitoring are the bases for simulating the global carbon and hydrological cycles, studying the interactions of the land surface and climate, and assessing land degradation. Based on field GPS surveys and UAV data, with cloud-free and snow/glacier algorithms and the SVM classifier to train and model alpine grassland, the alpine grassland and LUCC were extracted by using Landsat-8 OLI satellite images in Sanjiangyuan National Park in this paper. The latest datasets of vegetation types with 30 m × 30 m spatial resolution in the three parks were prepared and formed. The classification results show that the SVM classifier could better distinguish the major land-use types, and the overall classification accuracy was very high. However, in the alpine grassland subcategories, the classification accuracies of the four typical grasslands were relatively low, especially between desert steppes and alpine meadows, and desert steppes and alpine steppes. It manifests the limitations of Landsat-8 multispectral remote sensing imageries in finer-resolution grassland classifications of high-altitude alpine mountains. The method can be utilized for other multispectral satellite imageries with the same band matching, such as Landsat 7, Landsat 9, Sentinel-2, etc. The method described in this paper can rapidly and efficiently process annual alpine grassland maps of the source areas of the Yellow River, the Yangtze River, and the Lancang River. It can provide timely and high-spatial-resolution datasets for supporting scientific decisions for the sustainable management of Sanjiangyuan National Park.
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Zhuang Q, Wang L, Zheng G. An Evaluation of National Park System Pilot Area Using the AHP-Delphi Approach: A Case Study of the Qianjiangyuan National Park System Pilot Area, China. Forests 2022; 13:1162. [DOI: 10.3390/f13081162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
With the national park as an important measure of ecological protection, China has started 10 national park system pilot areas. However, the research on the comprehensive evaluation of national park construction and development is insufficient. The main purpose of this study was to establish a comprehensive evaluation index system for the pilot area of the national park system. The method of the Analytic Hierarchy Process combined with the Delphi method by ten relevant experts was used. The comprehensive evaluation index system for the national park system pilot areas was composed of the objective level and the criteria level which includes three items: natural resource conditions; research, education and recreation functions; and protection and management conditions. The indicator level involved seven items and the factor level included 31 items. Furthermore, the weight of each item in these levels was obtained through the Delphi method by the judgement of selected experts. The Qianjiangyuan National Park System Pilot Area (QNPSPA) was selected as the study case for empirical research. The score of the comprehensive evaluation of the QNPSPA was 90.801, which belongs to Grade I in the five catalogues, indicating its comprehensive construction level was very high and its protection and management measures were efficient. However, significant deficiencies also existed in the area suitability, recreation facilities and production, natural resource property rights, human landscape value and ecosystem integrity. To address these problems, five suggestions were proposed. For example, strengthening cross-administrative cooperation and communication, improving the construction of recreational facilities, etc. The evaluation framework proposed in this study could play a positive role in the construction evaluation of the pilot areas of national parks in China and is conducive to promoting the evaluation research of national parks in China and promoting the development of conservation and construction.
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Feng X, Peng Q, Chen Y, Li W. A Case Study of the Snow Leopard in Sanjiangyuan National Park Boundaries regarding Park Boundary Divergence. Land 2022; 11:813. [DOI: 10.3390/land11060813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
This paper uses remote sensing data from the Sanjiangyuan National Park (SNP) to explore the divergence between the boundaries of national parks and the distribution of natural habitats. Results are used to argue that these discrepancies evolve along with the potential impact of global warming. Using the example of the habitat change of snow leopards and the conflicts between local people and snow leopards, we reflect on the consequences of this divergence. Results show that divergence between the political boundaries and natural habitats as well as the consequent influence on the living conditions of local people are strikingly visible, and the effects of global warming on such conflicts are apparent. The authors conclude that both notions of ‘political boundaries’ and ‘natural habitats’ are expected to come together as the SNP region is spatially configured, while ‘global warming’ seems to be relevant as an essential reference when delimiting the region in the future. Finally, the proposal for the establishment of cooperative conservation areas is presented, emphasizing the role of cooperative governance in/around national parks.
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