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Zitong Z, Shuyi W, Le Z. Identification, spatial distribution, and associated factors of urban protected areas in China. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024:e14298. [PMID: 38881264 DOI: 10.1111/cobi.14298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 02/09/2024] [Accepted: 03/19/2024] [Indexed: 06/18/2024]
Abstract
The increasing proximity between protected areas (PAs) and urban areas, which can lead to urban protected areas (UPAs), is now commonplace. Use of Euclidean distance to measure the distance between PAs and cities has not correctly portrayed the spatial relationship between PAs and cities. We devised an isochronous circle model to accurately measure the distance between 2706 national PAs in 5 categories and 2844 cities in China based on human accessibility to identify urban human activity-influenced protected areas (UHAIPAs) and to quantitatively analyze their distribution patterns and relationships with China's economy, population distribution patterns, and urban development indicators. Most of the PAs in China were established near cities. Of 2746 PAs in China, 18.35% (n = 504) became UPAs, and 58.27% (n = 1600), 16.72% (n = 459), and 3.31% (n = 91) of PAs were within 0-30, 30-60, and 60-90 min, respectively. Both UPAs and UHAIPAs in China in general exhibited obvious spatial aggregation characteristics (e.g., wetland parks and scenic areas), and there was a significant spatial dependence effect among characteristics. The degree of spatial distribution and aggregation of UPAs was correlated with 16 indicators across urban economic development, urban natural substrate, and urban policy support factors. Based on the results of our study, we call for various governments and scholars to focus on areas where wetland parks and PAs overlap with urban boundaries. It is important to emphasize the potential link between the development of agriculture, forestry, livestock and fisheries industries, and UPAs. Overall, we believe that examining the accessibility of PAs can more accurately measure the distance between PAs and cities, and more realistically reflect the possible impacts of urban human activities on PAs, which is helpful for strengthening the conservation and management of PAs.
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Affiliation(s)
- Zuo Zitong
- Department of Landscape Architecture, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, China
| | - Wang Shuyi
- Department of Landscape Architecture, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, China
| | - Zhong Le
- Department of Landscape Architecture, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, China
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2
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Xu W, Wu YH, Zhou WW, Chen HM, Zhang BL, Chen JM, Xu W, Rao DQ, Zhao H, Yan F, Yuan Z, Jiang K, Jin JQ, Hou M, Zou D, Wang LJ, Zheng Y, Li JT, Jiang J, Zeng XM, Chen Y, Liao ZY, Li C, Li XY, Gao W, Wang K, Zhang DR, Lu C, Yin T, Ding Z, Zhao GG, Chai J, Zhao WG, Zhang YP, Wiens JJ, Che J. Hidden hotspots of amphibian biodiversity in China. Proc Natl Acad Sci U S A 2024; 121:e2320674121. [PMID: 38684007 PMCID: PMC11098104 DOI: 10.1073/pnas.2320674121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 03/21/2024] [Indexed: 05/02/2024] Open
Abstract
Identifying and protecting hotspots of endemism and species richness is crucial for mitigating the global biodiversity crisis. However, our understanding of spatial diversity patterns is far from complete, which severely limits our ability to conserve biodiversity hotspots. Here, we report a comprehensive analysis of amphibian species diversity in China, one of the most species-rich countries on Earth. Our study combines 20 y of field surveys with new molecular analyses of 521 described species and also identifies 100 potential cryptic species. We identify 10 hotspots of amphibian diversity in China, each with exceptional species richness and endemism and with exceptional phylogenetic diversity and phylogenetic endemism (based on a new time-calibrated, species-level phylogeny for Chinese amphibians). These 10 hotspots encompass 59.6% of China's described amphibian species, 49.0% of cryptic species, and 55.6% of species endemic to China. Only four of these 10 hotspots correspond to previously recognized biodiversity hotspots. The six new hotspots include the Nanling Mountains and other mountain ranges in South China. Among the 186 species in the six new hotspots, only 9.7% are well covered by protected areas and most (88.2%) are exposed to high human impacts. Five of the six new hotspots are under very high human pressure and are in urgent need of protection. We also find that patterns of richness in cryptic species are significantly related to those in described species but are not identical.
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Affiliation(s)
- Wei Xu
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Yun-He Wu
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
- Southeast Asia Biodiversity Research Institute, Chinese Academy of Sciences, Yezin, Nay Pyi Taw 05282, Myanmar
| | - Wei-Wei Zhou
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Hong-Man Chen
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Bao-Lin Zhang
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Jin-Min Chen
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Weihua Xu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing100085, China
| | - Ding-Qi Rao
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Haipeng Zhao
- School of Life Sciences, Henan University, Kaifeng475004, China
| | - Fang Yan
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Zhiyong Yuan
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Ke Jiang
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Jie-Qiong Jin
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Mian Hou
- Institute of Continuing Education, Sichuan Normal University, Chengdu610068, China
| | - Dahu Zou
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
- College of Science, Tibet University, Lhasa850000, China
| | - Li-Jun Wang
- School of Life Sciences, Hainan Normal University, Haikou571158, China
| | - Yuchi Zheng
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Jia-Tang Li
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Jianping Jiang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Xiao-Mao Zeng
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Youhua Chen
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Zi-Yan Liao
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Cheng Li
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Xue-You Li
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Wei Gao
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Kai Wang
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
- Southeast Asia Biodiversity Research Institute, Chinese Academy of Sciences, Yezin, Nay Pyi Taw 05282, Myanmar
| | - Dong-Ru Zhang
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Chenqi Lu
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming650204, China
| | - Tingting Yin
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Zhaoli Ding
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Gui-Gang Zhao
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Jing Chai
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Wen-Ge Zhao
- Department of Biology, College of Life and Environment Science, Harbin Normal University, Harbin150080, China
| | - Ya-Ping Zhang
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - John J. Wiens
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ85721-0088
| | - Jing Che
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
- Southeast Asia Biodiversity Research Institute, Chinese Academy of Sciences, Yezin, Nay Pyi Taw 05282, Myanmar
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Xia S, Xue Z, Dong S, Wu H, Yu X, Hao Z. Identification and scoring of conservation gaps in wetlands of China's coastal provinces: Implications for extending protected areas. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 358:120865. [PMID: 38631169 DOI: 10.1016/j.jenvman.2024.120865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 04/01/2024] [Accepted: 04/05/2024] [Indexed: 04/19/2024]
Abstract
Wetlands in China's coastal provinces are strategically positioned along migratory flyways for waterbirds, serving as essential habitats and stopover sites due to the expansive land area and abundant wetland resources they offer. This study aimed to introduce a simplified index system to enable rapid assessment and prioritization of unprotected areas for wetlands in China's coastal provinces. A spatial analysis was conducted, combining wetland distribution and existing protected areas data and spatial extent of wetlands extracted by remote sensing data. Results indicate substantial gaps in coverage, covering an area of 108.33 × 104 ha, with 76% being natural wetlands. Over half of these gaps are identified as high-value wetlands with significant ecological functions. The uneven distribution of unprotected wetlands reflects a tension between economic development and wetland conservation. Our findings support the expansion of the existing coastal wetland protected areas' coverage, as well as protecting critical habitats in conservation gaps, and establishing of a network-based waterbird protection system. This research contributes to informed decision-making and policy in wetlands' conservation planning.
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Affiliation(s)
- Shaoxia Xia
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100190, China.
| | - Zhenshan Xue
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China.
| | - Siqi Dong
- Forestry and Grassland Inventory and Planning Institute, National Forestry and Grassland Administration, Beijing, 100000, China.
| | - Haitao Wu
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China.
| | - Xiubo Yu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100190, China.
| | - Zhiming Hao
- Forestry and Grassland Inventory and Planning Institute, National Forestry and Grassland Administration, Beijing, 100000, China.
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Shi J, Meng L, Xia S, Liu S, Zhou L. Habitat Suitability and Determinants for Anatidae in Multi-Watershed Composite Wetlands in Anhui, China. Animals (Basel) 2024; 14:1010. [PMID: 38612249 PMCID: PMC11010902 DOI: 10.3390/ani14071010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 03/13/2024] [Accepted: 03/19/2024] [Indexed: 04/14/2024] Open
Abstract
Habitat suitability analysis is essential in habitat and species conservation. Anatidae are known for their migratory behaviour, high population density, and wide distribution range. Understanding their habitat utilzation and influencing factors is crucial in targeted conservation and management. In this study, we collected Anatidae diversity data, including the number of species, through field surveys from October 2021 to March 2022 and thirty habitat variables through an online database in Anhui Province, China. By using MaxEnt, we simulated the habitat suitability of twenty-one Anatidae species, revealing potential distribution sites in Anhui Province. Generalized linear mixed models (GLMM) were employed to identify factors affecting the distribution of geese and ducks. The results showed that high-suitability habitats were predominantly located in the large lakes of the Yangtze River floodplain. The GLMM analysis showed significant correlations between Anatidae richness and altitude, distribution of farmland, and human footprint. In addition, ducks were more sensitive to the human interference factor than geese. In summary, the lakes in the Yangtze River floodplain emerged as the most important Anatidae habitats in Anhui Province due to their abundant wetland resources, flat terrain, and high distribution of farmlands. These findings provide a scientific basis for the development of relevant conservation strategies and measures, aiding in wildlife epidemic monitoring, prevention, and control.
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Affiliation(s)
- Jiye Shi
- School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China; (J.S.); (L.M.); (S.X.)
- Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Anhui University, Hefei 230601, China
- Anhui Shengjin Lake Wetland Ecology National Long-Term Scientific Research Base, Dongzhi 247230, China
| | - Lei Meng
- School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China; (J.S.); (L.M.); (S.X.)
- Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Anhui University, Hefei 230601, China
- Anhui Shengjin Lake Wetland Ecology National Long-Term Scientific Research Base, Dongzhi 247230, China
| | - Shanshan Xia
- School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China; (J.S.); (L.M.); (S.X.)
- Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Anhui University, Hefei 230601, China
- Anhui Shengjin Lake Wetland Ecology National Long-Term Scientific Research Base, Dongzhi 247230, China
| | - Song Liu
- Anhui General Station of Wildlife Monitoring of Epidemic Sources and Disease, Hefei 230088, China;
| | - Lizhi Zhou
- School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China; (J.S.); (L.M.); (S.X.)
- Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Anhui University, Hefei 230601, China
- Anhui Shengjin Lake Wetland Ecology National Long-Term Scientific Research Base, Dongzhi 247230, China
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5
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Zhuang H, Shao F, Zhang C, Xia W, Wang S, Qu F, Wang Z, Lu Z, Zhao L, Zhang Z. Spatial-temporal shifting patterns and in situ conservation of spotted seal (Phoca largha) populations in the Yellow Sea ecoregion. Integr Zool 2024; 19:307-318. [PMID: 37231996 DOI: 10.1111/1749-4877.12731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Understanding the habitat shifting pattern is a prerequisite for implementing in situ conservation of migratory species. Spotted seals (Phoca largha) inhabiting the Yellow Sea ecoregion (YSE) comprise a small population with independent genes and represent a charismatic flagship species in this region. However, this population has declined by 80% since the 1940s, and increased support from the countries around the YSE is urgently needed to address the potential local extinction risk. A time-series niche model and life-history weighted systematic conservation planning were designed on the basis of a satellite beacon tracking survey (2010-2020) of the YSE population. The results showed clustering and spreading shifting patterns during the breeding and migratory seasons, respectively. The closed-loop migration route formed in the YSE indicated that this population might be geographically isolated from populations in other breeding areas around the world. The conservation priority area (CPA), with an area of 19 632 km2 (3.58% of the total YSE area), was the most effective response to the potential in situ risk. However, nearly 80% of the CPA was exposed outside the existing marine protected areas (MPAs). Future establishment of MPAs in China should strategically consider the conservation gap identified herein, and it is recommended for Korea's closed fishing season to be spatially set in the western Korean Peninsula from May to August. This study also exemplified that the lack of temporal information would lead to the dislocation of niche modeling for migratory species represented by spotted seals. Attention should be paid to protecting small and migratory populations in marine biodiversity conservation planning.
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Affiliation(s)
- Hongfei Zhuang
- First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China
| | - Fei Shao
- Department of Natural Resources of Shandong Province, Shandong Forestry Protection and Development Service Center, Jinan, China
| | - Chao Zhang
- National Park (Protected Areas) Development Center, National Forestry and Grassland Administration, Beijing, China
| | - Wancai Xia
- College of Life Science, China West Normal University, Nanchong, China
| | - Shouqiang Wang
- First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China
| | - Fangyuan Qu
- First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China
| | - Zongling Wang
- First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China
| | - Zhichuang Lu
- Liaoning Ocean and Fisheries Science Research Institute, Dalian, China
| | - Linlin Zhao
- First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China
| | - Zhaohui Zhang
- First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China
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Zhang Y, Wang Y, Fu B, Lü Y, Liang X, Yang Y, Ma R, Yan S, Wu X. Identification of critical ecological areas using the ecosystem multifunctionality-stability-integrity framework: A case study in the Yellow River basin, China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 348:119296. [PMID: 37820436 DOI: 10.1016/j.jenvman.2023.119296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 10/06/2023] [Accepted: 10/07/2023] [Indexed: 10/13/2023]
Abstract
Critical ecological areas (CEAs), as important regions for biodiversity and ecosystem functions, are crucial for ecological conservation and environmental management at regional and global scales. However, the methodology and framework of CEA identification have not been well established. In this study, a comprehensive CEA identification method was developed based on the ecosystem multifunctionality-stability-integrity framework by using K-means clustering, critical slowing down theory and possible connectivity. Taking the Yellow River basin (YRB) as a case study, our results showed that ecosystem multifunctionality gradually decreased from the southeast to northwest. A decrease in ecosystem stability was observed since 2017 and was mainly due to the increased impacts of human activities and urbanization within the 10-20 km distance threshold from the ecosystem. Based on the proposed framework, 15.13% of the YRB was identified as CEAs with reliable estimates, and most areas were distributed in the Three-River Headwaters, Qinling and Taihang Mountains. Moreover, urbanization and precipitation were found to be the dominant environmental factors affecting the CEA distribution in the YRB. Our results indicated that the proposed framework could provide a comprehensive approach for CEA identification and useful implications for ecological conservation and environmental management.
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Affiliation(s)
- Yunlong Zhang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
| | - Yuelu Wang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Bojie Fu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
| | - Yihe Lü
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiao Liang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
| | - Yingying Yang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
| | - Ruiming Ma
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
| | - Shengjun Yan
- State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875, China
| | - Xing Wu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
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Ding P, Song Z, Liu Y, Halimubieke N, Székely T, Shi L. Nesting Habitat Suitability of the Kentish Plover in the Arid Lands of Xinjiang, China. Animals (Basel) 2023; 13:3369. [PMID: 37958123 PMCID: PMC10648522 DOI: 10.3390/ani13213369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 10/28/2023] [Accepted: 10/29/2023] [Indexed: 11/15/2023] Open
Abstract
Understanding the main ecological factors of the nesting habitat of shorebirds is of great significance in relation to their protection and habitat management. Habitat loss and change due to a lack of water threaten the biodiversity of shorebirds, with impacts likely to be most pronounced in arid lands. We collected the data of 144 nesting sites and 10 ecological factors during the breeding season from April to July each year in 2019 and 2020 in nine river districts in Xinjiang. The MaxEnt model was applied to assess the suitability of nesting habitats for Kentish plovers (Charadrius alexandrinus) in the study area to examine the main factors affecting their nesting habitat. The most suitable nesting habitats are mostly distributed in plain reservoirs in the middle part of the Northern Slope of the Tianshan Mountains, Ebinur Lake and its eastern position in the southwestern Junggar Basin, near Ulungur Lake of the Ulungur river area and the southern Irtysh river area. The distance from water, normalized difference vegetation index, mean temperature of the breeding season, slope, and land use were the main factors affecting the nesting habitat selection of Kentish plovers. It was found that the proportion of suitable nesting habitat protected for the Kentish plovers in the study area was low (851.66 km2), accounting for only 11.02% of the total suitable nesting habitat area. In view of the scarcity and importance of water bodies in arid lands and the lack of protection for Kentish plovers at present, it is suggested to strengthen the conservation and management of the regional shorebirds and their habitats by regulating and optimizing the allocation of water resources.
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Affiliation(s)
- Peng Ding
- College of Animal Sciences, Xinjiang Agricultural University, Urumqi 830052, China;
- Xinjiang Key Laboratory for Ecological Adaptation and Evolution of Extreme Environment Biology, College of Life Sciences, Xinjiang Agricultural University, Urumqi 830052, China
| | - Zitan Song
- State Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen 518107, China; (Z.S.); (Y.L.)
- Comparative Socioecology Group, Max Planck Institute of Animal Behavior, 78467 Konstanz, Germany
| | - Yang Liu
- State Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen 518107, China; (Z.S.); (Y.L.)
| | - Naerhulan Halimubieke
- Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath BA1 7AY, UK; (N.H.); (T.S.)
| | - Tamás Székely
- Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath BA1 7AY, UK; (N.H.); (T.S.)
- Department of Evolutionary Zoology and Human Biology, University of Debrecen, H-4032 Debrecen, Hungary
| | - Lei Shi
- College of Animal Sciences, Xinjiang Agricultural University, Urumqi 830052, China;
- Xinjiang Key Laboratory for Ecological Adaptation and Evolution of Extreme Environment Biology, College of Life Sciences, Xinjiang Agricultural University, Urumqi 830052, China
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8
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Yang L, Zhuang H, Liu S, Cong B, Huang W, Li T, Liu K, Zhao L. Estimating the Spatial Distribution and Future Conservation Requirements of the Spotted Seal in the North Pacific. Animals (Basel) 2023; 13:3260. [PMID: 37893984 PMCID: PMC10603672 DOI: 10.3390/ani13203260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/04/2023] [Accepted: 10/07/2023] [Indexed: 10/29/2023] Open
Abstract
Local adaptation has been increasingly involved in the designation of species conservation strategies to response to climate change. Marine mammals, as apex predators, are climatechange sensitive, and their spatial distribution and conservation requirements are critically significant for designing protection strategies. In this study, we focused on an ice-breeding marine mammal, the spotted seal (Phoca largha), which exhibits distinct morphological and genetic variations across its range. Our objectives were to quantify the ecological niches of three spotted seal populations, construct the species-level model and population-level models that represent different regions in the Bering population (BDPS), Okhotsk population (ODPS) and southern population (SDPS), and conduct a conservation gap analysis. Our findings unequivocally demonstrated a clear niche divergence among the three populations. We predicted habitat contraction for the BDPS and ODPS driven by climate change; in particular, the spotted seals inhabiting Liaodong Bay may face breeding habitat loss. However, most spotted seal habitats are not represented in existing marine protected areas. Drawing upon these outcomes, we propose appropriate conservation policies to effectively protect the habitat of the different geographical populations of spotted seals. Our research addresses the importance of incorporating local adaptation into species distribution modeling to inform conservation and management strategies.
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Affiliation(s)
- Leyu Yang
- School of Advanced Manufacturing, Fuzhou University, Jinjiang 362200, China; (L.Y.); (K.L.)
- Key Laboratory of Marine Eco-Environmental Science and Technology, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China; (H.Z.); (S.L.); (B.C.); (W.H.); (T.L.)
| | - Hongfei Zhuang
- Key Laboratory of Marine Eco-Environmental Science and Technology, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China; (H.Z.); (S.L.); (B.C.); (W.H.); (T.L.)
| | - Shenghao Liu
- Key Laboratory of Marine Eco-Environmental Science and Technology, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China; (H.Z.); (S.L.); (B.C.); (W.H.); (T.L.)
| | - Bailin Cong
- Key Laboratory of Marine Eco-Environmental Science and Technology, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China; (H.Z.); (S.L.); (B.C.); (W.H.); (T.L.)
| | - Wenhao Huang
- Key Laboratory of Marine Eco-Environmental Science and Technology, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China; (H.Z.); (S.L.); (B.C.); (W.H.); (T.L.)
- College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China
| | - Tingting Li
- Key Laboratory of Marine Eco-Environmental Science and Technology, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China; (H.Z.); (S.L.); (B.C.); (W.H.); (T.L.)
| | - Kaiyu Liu
- School of Advanced Manufacturing, Fuzhou University, Jinjiang 362200, China; (L.Y.); (K.L.)
- Key Laboratory of Marine Eco-Environmental Science and Technology, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China; (H.Z.); (S.L.); (B.C.); (W.H.); (T.L.)
| | - Linlin Zhao
- Key Laboratory of Marine Eco-Environmental Science and Technology, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China; (H.Z.); (S.L.); (B.C.); (W.H.); (T.L.)
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9
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Tuohetahong Y, Lu R, Gan F, Li M, Ye X, Yu X. Modeling the Wintering Habitat Distribution of the Black Stork in Shaanxi, China: A Hierarchical Integration of Climate and Land Use/Land Cover Data. Animals (Basel) 2023; 13:2726. [PMID: 37684990 PMCID: PMC10487094 DOI: 10.3390/ani13172726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023] Open
Abstract
Species distribution models (SDMs) are effective tools for wildlife conservation and management, as they employ the quantification of habitat suitability and environmental niches to evaluate the patterns of species distribution. The utilization of SDMs at various scales in a hierarchical approach can provide additional and complementary information, significantly improving decision-making in local wildlife conservation initiatives. In this study, we considered the appropriate spatial scale and data resolution to execute species distribution modeling, as these factors greatly influence the modeling procedures. We developed SDMs for wintering black storks at both the regional and local scales. At the regional scale, we used climatic and climate-driven land use/land cover (LULC) variables, along with wintering occurrence points, to develop models for mainland China. At the local scale, we used local environmental variables and locally gathered wintering site data to develop models for Shaanxi province. The predictions from both the regional and local models were then combined at the provincial level by overlapping suitable areas based on climatic and local conditions. We compared and evaluated the resulting predictions using seven statistical metrics. The national models provide information on the appropriate climatic conditions for the black stork during the wintering period throughout China, while the provincial SDMs capture the important local ecological factors that influence the suitability of habitats at a finer scale. As anticipated, the national SDMs predict a larger extent of suitable areas compared to the provincial SDMs. The hierarchical prediction approach is considered trustworthy and, on average, yields better outcomes than non-hierarchical methods. Our findings indicate that human-driven LULC changes have a significant and immediate impact on the wintering habitat of the black stork. However, the effects of climate change seem to be reducing the severity of this impact. The majority of suitable wintering habitats lie outside the boundaries of protected areas, highlighting the need for future conservation and management efforts to prioritize addressing these conservation gaps and focusing on the protection of climate refuges.
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Affiliation(s)
| | - Ruyue Lu
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (Y.T.)
| | - Feng Gan
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (Y.T.)
| | - Min Li
- School of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan 030024, China
| | - Xinping Ye
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (Y.T.)
- Research Center for UAV Remote Sensing, Shaanxi Normal University, Xi’an 710119, China
- Changqing Teaching & Research Base of Ecology, Shaanxi Normal University, Xi’an 710119, China
| | - Xiaoping Yu
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (Y.T.)
- Research Center for UAV Remote Sensing, Shaanxi Normal University, Xi’an 710119, China
- Changqing Teaching & Research Base of Ecology, Shaanxi Normal University, Xi’an 710119, China
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10
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Liu T, Liu H, Yang Y. Uncovering the determinants of biodiversity hotspots in China: Evidence from the drivers of multiple diversity metrics on insect assemblages and implications for conservation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 880:163287. [PMID: 37028670 DOI: 10.1016/j.scitotenv.2023.163287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 03/31/2023] [Accepted: 03/31/2023] [Indexed: 05/27/2023]
Abstract
Understanding large-scale biodiversity patterns and underlying mechanisms during the formation process is essential for guiding conservation efforts. However, previous studies on the identification and formation mechanism of diversity hotspots in China were often limited to a single (alpha) diversity metric, while multiple (beta or zeta) diversity has rarely been used for exploring drivers and conservation actions. Here, a comprehensive species distribution dataset consisting of representative families of three insect orders was compiled to explore biodiversity hotspots based on different algorithms. Furthermore, to assess the effects of environmental factors on hotspots, we fitted generalized additive mixed-effects models (GAMMs) for species richness, generalized dissimilarity models (GDMs) and multi-site generalized dissimilarity modeling (MS-GDM) for the total beta and zeta diversity. Our results showed that biodiversity hotspots were mainly concentrated in central and southern China, especially in mountainous areas with complex topography, which indicated the insects' affinity to montane environments. Further analyses based on multiple models showed that water-energy factors exerted the strongest explanatory power for the insect assemblage diversity in hotspots of both alpha and beta (or zeta) levels. Additionally, anthropogenic factors also exerted a significant effect on hotspots, and this effect was higher for beta diversity than for alpha diversity. Overall, our study elucidates a comprehensive analysis of the identification and underlying mechanism of biodiversity hotspots in China. Despite several limitations, we still believe that our findings can provide some new insights for conservation efforts in Chinese hotspots.
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Affiliation(s)
- Tong Liu
- The Key Laboratory of Zoological Systematics and Application, School of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding 071002, China
| | - Haoyu Liu
- The Key Laboratory of Zoological Systematics and Application, School of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding 071002, China.
| | - Yuxia Yang
- The Key Laboratory of Zoological Systematics and Application, School of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding 071002, China.
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11
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Li D, Bai Y, Lei W, Que P, Liu Y, Pagani‐Núñez E, Lloyd H, Zhang Z. Mammalian predators and vegetated nesting habitat drive reduced protected area nesting success of Kentish plovers, Yellow Sea region, China. Ecol Evol 2023; 13:e9884. [PMID: 36919018 PMCID: PMC10008299 DOI: 10.1002/ece3.9884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 02/14/2023] [Accepted: 02/17/2023] [Indexed: 03/14/2023] Open
Abstract
Protected areas provide essential habitats for wildlife by conserving natural and semi-natural habitats and reducing human disturbance. However, whether breeding birds vulnerable to nest predation can benefit from strict land management in the protected area is unclear. Here, we compare the nesting performance of two groups of a ground-nesting shorebird, the Kentish plover (Charadrius alexandrinus), in the protected area (Liaohekou Natural Reserve, hereinafter PA), and the control non-protected area (non-PA) around the Liaohekou Natural Reserve, in the north of the Yellow Sea, China, and identify which environmental factors, such as nesting habitat and nest materials, influence the daily nest survival rate (DSR). We found similar nesting habitats in both study areas, dominated by bare land or Suaeda salsa grassland. However, DSR was lower in PA (0.91 ± 0.01) than in non-PA (0.97 ± 0.01). Kentish plovers nesting in areas with vegetation cover experienced lower DSR than in bare lands in both areas, and nests built with materials of S. salsa sticks had the lowest DSR in the bare land. Data from infrared cameras confirmed relatively higher predator abundances and nest predation rates by nocturnal mammals, such as Eurasian badgers (Meles meles), in PA than in non-PA, and this pattern was especially evident for plover nests located in S. salsa grassland. Our results suggest that Liaohekou Natural Reserve protected area may not necessarily provide safe nesting sites for Kentish plovers due to the abundance of generalist mammal nest predators. However, the PA includes about 80% of the nests from both locations. This means the contribution of the total number of successful nests continues to be much higher within PA, with the benefit for the species that this brings in terms of conservation. The variation and mechanisms underlying differences in the nest predator communities of PA and non-PA deserve further study.
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Affiliation(s)
- Donglai Li
- Provincial Key Laboratory of Animal Resource and Epidemic Disease Prevention, College of Life SciencesLiaoning UniversityShenyangChina
| | - Yu Bai
- Provincial Key Laboratory of Animal Resource and Epidemic Disease Prevention, College of Life SciencesLiaoning UniversityShenyangChina
| | - Weipan Lei
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life SciencesBeijing Normal UniversityBeijingChina
| | - Pinjia Que
- Chengdu Research Base of Giant Panda BreedingChengduChina
- Sichuan Key Laboratory of Conservation Biology for Endangered WildlifeChengduChina
- Sichuan Academy of Giant PandaChengduChina
| | - Yang Liu
- State Key Laboratory of Biocontrol, School of EcologySun Yat‐sen UniversityGuangzhouChina
| | - Emilio Pagani‐Núñez
- Department of Health and Environmental SciencesXi'an Jiaotong‐Liverpool UniversitySuzhouChina
- School of Applied SciencesEdinburgh Napier UniversityEdinburghUK
- Centre for Conservation and Restoration ScienceEdinburgh Napier UniversityEdinburghUK
| | - Huw Lloyd
- Department of Natural Sciences, Ecology and Environment Research CentreManchester Metropolitan UniversityManchesterUK
| | - Zhengwang Zhang
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life SciencesBeijing Normal UniversityBeijingChina
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12
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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. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND 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] [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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13
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Zhao T, Miao C, Wang J, Su P, Chu K, Luo Y, Sun Q, Yao Y, Song Y, Bu N. Relative contributions of natural and anthropogenic factors to the distribution patterns of nature reserves in mainland China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 847:157449. [PMID: 35863564 DOI: 10.1016/j.scitotenv.2022.157449] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 07/13/2022] [Accepted: 07/13/2022] [Indexed: 06/15/2023]
Abstract
Nature reserves (NRs) are designated as a result of the ecosystem, species, economy, population, and land use coordination. However, the extent to which these factors influence the geographical pattern of NRs is unclear. Here, 11 indices (seven natural and four anthropogenic) were examined to identify these relationships in over 2600 terrestrial NRs in mainland China at the provincial level. Correlation analysis between natural and anthropogenic factors and NRs showed that desert and grassland had a positive correlation with NR coverage and area, and a negative correlation with NR density. This result was reversed in the correlation analysis between forest wetland coverage, endangered species, wildlife and NR coverage, area, and density. Similar results were found in the correlation analysis of all anthropogenic factors (population density, agricultural land, roads, and per capita GDP) with the coverage, area, and density of NRs. Canonical correspondence analysis (CCA) showed that three significant natural indicators (desert ecosystems, grasslands ecosystems, and forested and wetlands ecosystems) could explain 64.2 % of the pattern of NRs. The largest contributor was desert coverage, explaining 48.3 % (P = 0.002) of all indicators, followed by grassland coverage, explaining 8.6 % (P = 0.012), and forest and wetland coverage, explaining 7.3 % (P = 0.008). Human activities were significantly positively correlated with forest and wetland coverage, flora, and fauna, and negatively correlated with desert and grassland coverage. Compared with sand and grassland in the western region, the forest wetlands and wildlife in the eastern and central provinces were under greater pressure from anthropogenic activities. Therefore, natural factors determine the general layout of NRs, while the influence of anthropogenic activities makes the distribution of NRs patchy. When establishing national parks, governments must design strategies to coordinate areas with high biodiversity and high levels of human activity.
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Affiliation(s)
- Ting Zhao
- School of Environmental Science, Liaoning University, Shenyang 110036, China
| | - Congke Miao
- School of Environmental Science, Liaoning University, Shenyang 110036, China
| | - Jing Wang
- School of Environmental Science, Liaoning University, Shenyang 110036, China
| | - Pinjie Su
- School of Environmental Science, Liaoning University, Shenyang 110036, China
| | - Kuo Chu
- School of Environmental Science, Liaoning University, Shenyang 110036, China; Institute for Carbon Neutrality, Liaoning University, China
| | - Yifu Luo
- School of Environmental Science, Liaoning University, Shenyang 110036, China
| | - Qiqi Sun
- School of Environmental Science, Liaoning University, Shenyang 110036, China
| | - Yanzhong Yao
- School of Environmental Science, Liaoning University, Shenyang 110036, China
| | - Youtao Song
- School of Environmental Science, Liaoning University, Shenyang 110036, China
| | - Naishun Bu
- School of Environmental Science, Liaoning University, Shenyang 110036, China; Institute for Carbon Neutrality, Liaoning University, China; Key Laboratory of Wetland Ecology and Environment Research in Cold Regions of Heilongjiang Province, Harbin University, 150086, China; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin 150090, China.
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14
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Duan H, Yu X, Zhang L, Xia S, Liu Y, Mao D, Zhang G. An evaluating system for wetland ecological risk: Case study in coastal mainland China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 828:154535. [PMID: 35302024 DOI: 10.1016/j.scitotenv.2022.154535] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 02/20/2022] [Accepted: 03/08/2022] [Indexed: 06/14/2023]
Abstract
Coastal wetland degradation and fragmentation contribute to habitat and biodiversity loss. We construct wetland ecological risk assessment framework to evaluate the risk posed to 35 coastal wetland national nature reserves (NNRs) in China for the years 2000 and 2020. Our wetland ecological risk index (WRI) is based on an external hazard sub-index (EHI) and an internal vulnerability sub-index. Most NNRs have low EHI values in both 2000 and 2020. Ratios of change in EHI range from -22.76% to 52.15% (a negative value indicates a decrease, a positive value an increase), and the EHI for 20 of 35 NNRs (57.1%) decreases over time. Variation in the internal vulnerability index ranges -44.78% to 88.97%, and increases at 18 NNRs (51.4%) over time. WRI variation ranges between -48.13% and 82.91%, and increases at 19 NNRs (54.3%). Most NNRs are ranked as being at low, medium risk in both 2000 and 2020. Notably, the number of high-risk NNRs increases from 3 to 10 (for which WRI values also increase). Expansion of built-up land, cropland occupation (in 2020), road disturbance, and water quality are all significantly associated WRI. Intensified management of the 10 NNRs ranked at high risk is necessary to prevent further deterioration.
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Affiliation(s)
- Houlang Duan
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China
| | - Xiubo Yu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China.
| | - Li Zhang
- Key Laboratory for Biodiversity Science and Ecological Engineering, Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Shaoxia Xia
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China
| | - Yu Liu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China
| | - Dehua Mao
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
| | - Guangshuai Zhang
- National Marine Environmental Monitoring Center, Dalian 116023, China; State Environmental Protection Key Laboratory of Marine Ecosystem Restoration, Dalian 116023, China
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15
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Zeng Y, Wang LE, Zhong L. Spatiotemporal Variations of Human Pressure on Key Biodiversity Areas in the Qinghai–Tibet Plateau: A Comparative Analysis. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.960634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
A key biodiversity area (KBA) is one of the important emerging area-based conservation measures that is being implemented recently in China; however, the human pressure faced by a KBA is still unclear. This study analyzed the spatiotemporal variation of human pressure on KBAs from 1990 to 2017 and compared it with the human pressure on national natural reserves (NNRs) through a case study of the Qinghai–Tibet Plateau. In addition, changes in the trend of human pressure before and after 2010 were analyzed to examine the influence of conservation policies on human pressure. Results showed that human pressure on KBAs and NNRs gradually increased from 1990 to 2017. Furthermore, the growth rates and mean values of human pressure in KBAs were higher than those in NNRs. After the implementation of conservation policies in 2010, the growth rates of human pressure on both KBAs and NNRs have significantly slowed, and the areas with negative growth in both KBAs and NNRs have gradually expanded. In addition to providing an understanding of the changing spatiotemporal trends of human pressure on KBAs, this study can serve as a reference to formulate policies for the improvement of the effectiveness of conservation.
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16
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Grassland Conservation Effectiveness of National Nature Reserves in Northern China. REMOTE SENSING 2022. [DOI: 10.3390/rs14071760] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Grasslands are crucial ecosystem biomes for breeding livestock and combatting climate change. By 2018, the national nature reserves (NNRs) in the Inner Mongolia Autonomous Region (IMAR) had constituted 8.55% of the land area. However, there is still a knowledge gap about their effectiveness in grasslands. Based on a multiyear time series of the growing season composite from 2000 to 2020, we proposed an effectiveness score to assess the effectiveness of the NNRs, using the 250 m MOD13Q1 NDVI data with Theil–Sen and Mann–Kendall trend analysis methods. We found the following: 22 of 30 NNRs were deemed effective in protecting the Inner Mongolian grasslands. The NNRs increased pixels with a sustainable trend 19.26% and 20.55% higher than the unprotected areas and the IMAR, respectively. The pixels with a CVNDVI < 0.1 (i.e., NDVI coefficient of variation) in the NNRs increased >35.22% more than those in the unprotected areas and the IMAR. The NDVI changes within the NNRs showed that 63.64% of NNRs had a more significant trend of greening than before the change point, which suggests a general greening in NNRs. We also found that the NNRs achieved heterogeneous effectiveness scores across protection types. Forest ecology protection and wildlife animal protection types are the most efficient, whereas wildlife vegetation protection is the least effective type. This study enriches the understanding of grassland conservation and sheds light on the future direction of the sustainable management of NNRs.
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17
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Li J, Liu S, Hong T, You W, Hu X. Does leakage exist in China's typical protected areas? Evidence from 13 national nature reserves. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:6822-6836. [PMID: 34458970 DOI: 10.1007/s11356-021-16068-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 08/16/2021] [Indexed: 06/13/2023]
Abstract
There is profound interest in knowing the degree to which the effectiveness of China's nature reserves, and whether leakage is common around the reserves, in the face of the most drastic conflicts between conservation and development in the world. To answer these questions, we employed the Landsat-derived Global Forest Change Dataset with 30-m resolution to examine forest change patterns during 2001 and 2017 both inside and outside of 13 typically national nature reserves in China. The average forest loss rates inside the reserves were significantly lower than those of outside the reserves (i.e., both in buffer and landscape zones), suggesting the success in protecting forest of these reserves in China. We found that the protection practice reduced approximately 10% of deforestation. Protection efficiency may be substantially overestimated (about 13-43%) if failing to control the related variables, such as altitude, climate, and human interference. The forest loss rates in the buffer zones were not significantly higher than those in the broader landscape zones, suggesting that leakage is not a frequent occurrence in the buffer zones of the reserves. However, the forest loss rates showed a slightly increasing tendency from 2001 to 2017, the loss rates increased gradually from inside to their outside buffer zones, and leakage was observed in certain zones of some years for most of the reserves. The conversions of forest to grassland and cultivated land were the primary trajectories of forest loss both inside and outside of the reserves. Though the leakage is not universal in the reserves across the country, forest loss rates are much higher in the buffer zones than those inside the reserves, resulting in increased insulation of the reserves that could undermine the provisioning of ecosystem services and the biodiversity conservation efficiency.
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Affiliation(s)
| | | | - Tao Hong
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Weibin You
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Xisheng Hu
- College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
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18
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Choi C, Shi X, Shi J, Gan X, Wen C, Zhang J, Jackson MV, Fuller RA, Gibson L. China's Ecological Conservation Redline policy is a new opportunity to meet post‐2020 protected area targets. Conserv Lett 2021. [DOI: 10.1111/conl.12853] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Affiliation(s)
- Chi‐Yeung Choi
- School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen China
| | - Xu Shi
- School of Biological Sciences The University of Queensland Brisbane Queensland Australia
- Centre for Ecology and Conservation University of Exeter Penryn UK
| | - Jianbin Shi
- School of Environment Beijing Normal University Beijing China
| | | | - Chujun Wen
- Crossborder Environment Concern Association Beijing China
| | - Jiawei Zhang
- Crossborder Environment Concern Association Beijing China
| | - Micha V. Jackson
- School of Biological Sciences The University of Adelaide Adelaide South Australia Australia
| | - Richard A. Fuller
- School of Biological Sciences The University of Queensland Brisbane Queensland Australia
| | - Luke Gibson
- School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen China
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19
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Jiang W, Wu T. Community-based management of protected areas: The case of the Mangkang National Nature Reserve on the Qinghai-Tibetan Plateau. J Nat Conserv 2021. [DOI: 10.1016/j.jnc.2021.126087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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20
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Predicting the potential distribution of wintering Asian Great Bustard (Otis tarda dybowskii) in China: Conservation implications. Glob Ecol Conserv 2021. [DOI: 10.1016/j.gecco.2021.e01817] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
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21
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Ren J, Chen J, Xu C, van de Koppel J, Thomsen MS, Qiu S, Cheng F, Song W, Liu QX, Xu C, Bai J, Zhang Y, Cui B, Bertness MD, Silliman BR, Li B, He Q. An invasive species erodes the performance of coastal wetland protected areas. SCIENCE ADVANCES 2021; 7:eabi8943. [PMID: 34644105 PMCID: PMC8514088 DOI: 10.1126/sciadv.abi8943] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 08/19/2021] [Indexed: 05/21/2023]
Abstract
The world has increasingly relied on protected areas (PAs) to rescue highly valued ecosystems from human activities, but whether PAs will fare well with bioinvasions remains unknown. By analyzing three decades of seven of the largest coastal PAs in China, including World Natural Heritage and/or Wetlands of International Importance sites, we show that, although PAs are achieving success in rescuing iconic wetlands and critical shorebird habitats from once widespread reclamation, this success is counteracted by escalating plant invasions. Plant invasions were not only more extensive in PAs than non-PA controls but also undermined PA performance by, without human intervention, irreversibly replacing expansive native wetlands (primarily mudflats) and precluding successional formation of new native marshes. Exotic species are invading PAs globally. This study across large spatiotemporal scales highlights that the consequences of bioinvasions for humanity’s major conservation tool may be more profound, far reaching, and critical for management than currently recognized.
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Affiliation(s)
- Junlin Ren
- Coastal Ecology Lab, MOE Key Laboratory for Biodiversity Science and Ecological Engineering, National Observation and Research Station for Wetland Ecosystems of the Yangtze Estuary (Shanghai), School of Life Sciences, Fudan University, 2005 Songhu Road, Shanghai 200438, China
| | - Jianshe Chen
- Coastal Ecology Lab, MOE Key Laboratory for Biodiversity Science and Ecological Engineering, National Observation and Research Station for Wetland Ecosystems of the Yangtze Estuary (Shanghai), School of Life Sciences, Fudan University, 2005 Songhu Road, Shanghai 200438, China
| | - Changlin Xu
- Coastal Ecology Lab, MOE Key Laboratory for Biodiversity Science and Ecological Engineering, National Observation and Research Station for Wetland Ecosystems of the Yangtze Estuary (Shanghai), School of Life Sciences, Fudan University, 2005 Songhu Road, Shanghai 200438, China
| | - Johan van de Koppel
- Department of Estuarine and Delta Systems, Royal Netherlands Institute for Sea Research and Utrecht University, 4401 NT7 Yerseke, Netherlands
- Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences, University of Groningen, 9700 CC Groningen, Netherlands
| | - Mads S. Thomsen
- Marine Ecology Research Group and Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
- Aarhus University, Department of Bioscience, 4000 Roskilde, Denmark
| | - Shiyun Qiu
- Coastal Ecology Lab, MOE Key Laboratory for Biodiversity Science and Ecological Engineering, National Observation and Research Station for Wetland Ecosystems of the Yangtze Estuary (Shanghai), School of Life Sciences, Fudan University, 2005 Songhu Road, Shanghai 200438, China
| | - Fangyan Cheng
- Coastal Ecology Lab, MOE Key Laboratory for Biodiversity Science and Ecological Engineering, National Observation and Research Station for Wetland Ecosystems of the Yangtze Estuary (Shanghai), School of Life Sciences, Fudan University, 2005 Songhu Road, Shanghai 200438, China
| | - Wanjuan Song
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing Normal University, Beijing, China
| | - Quan-Xing Liu
- Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration & Center for Global Change and Ecological Forecasting, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China
| | - Chi Xu
- School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Junhong Bai
- School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China
| | - Yihui Zhang
- Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Fujian 361102, China
| | - Baoshan Cui
- School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China
| | - Mark D. Bertness
- Department of Ecology, Evolution and Organismal Biology, Brown University, Providence, RI 02912, USA
| | - Brian R. Silliman
- Division of Marine Science and Conservation, Nicholas School of the Environment, Duke University, 135 Duke Marine Lab Road, Beaufort, NC 28516, USA
| | - Bo Li
- Coastal Ecology Lab, MOE Key Laboratory for Biodiversity Science and Ecological Engineering, National Observation and Research Station for Wetland Ecosystems of the Yangtze Estuary (Shanghai), School of Life Sciences, Fudan University, 2005 Songhu Road, Shanghai 200438, China
| | - Qiang He
- Coastal Ecology Lab, MOE Key Laboratory for Biodiversity Science and Ecological Engineering, National Observation and Research Station for Wetland Ecosystems of the Yangtze Estuary (Shanghai), School of Life Sciences, Fudan University, 2005 Songhu Road, Shanghai 200438, China
- Corresponding author.
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Chen H. The ecosystem service value of maintaining and expanding terrestrial protected areas in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 781:146768. [PMID: 33812113 DOI: 10.1016/j.scitotenv.2021.146768] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 03/19/2021] [Accepted: 03/22/2021] [Indexed: 06/12/2023]
Abstract
Maintaining and expanding protected areas (PAs) can benefit humans and the rest of nature, but also has direct management and opportunity costs. Assessing this trade-off can benefit from valuing ecosystem services (ESs). The gross value of a subset of ESs provided by China's existing terrestrial PAs, which cover 18% of China's land, was conservatively estimated at $2.64 trillion/yr (US$2017). This is 15 and 14 times the basic conservation costs (for preventing current ESs and biodiversity from deteriorating) and optimised conservation costs (for potentially improving ESs and biodiversity), respectively. China is committed to drawing an 'eco-redline' (the natural terrestrial space that has important ESs, biodiversity, vulnerable and sensitive ecosystems, and enforced strict conservation) to protect 25% of its lands. If the 'eco-redline' was to conserve 25% of China's terrestrial water retention, soil retention, sandstorm prevention, carbon sequestration and oxygen release, the gross value of those conserved regulating ESs would be $4.83 trillion/yr. This is 20 and 18 times the basic and optimised conservation costs, respectively. These results indicate that, the arguments that conservation constrains economic development and increases ecosystem disservices are not tenable. The results make clear the interconnections between conservation and the economy, and that true economic development is improvement of sustainable wellbeing - not merely growth of Gross Domestic Product (GDP).
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Affiliation(s)
- Haojie Chen
- Crawford School of Public Policy, Australian National University, Canberra, ACT 2601, Australia.
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23
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Rapid Reclamation and Degradation of Suaeda salsa Saltmarsh along Coastal China’s Northern Yellow Sea. LAND 2021. [DOI: 10.3390/land10080835] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Suaeda salsa saltmarshes are an important coastal wetland habitat of China’s northern Yellow Sea, which plays a critical role in sequestering carbon (blue carbon), protecting shorelines, maintaining biodiversity, and has substantial economic value (e.g., ecotourism). However, the area of S. salsa has been rapidly declining due to several different threats from reclamation and invasive species that impact its natural succession. Here, we map the changes in the distribution of the S. salsa saltmarshes along the northern Yellow Sea of China (NYSC) at 5-year intervals by applying the supervised maximum likelihood method to analyze Landsat images from 1988 to 2018 and investigate the potential impact of three important factors on habitat change by analyzing the temporal changes in S. salsa saltmarshes with other land covers. S. salsa saltmarsh areas have decreased by 63% (264 km2 ha to 99 km2), and the average loss of S. salsa saltmarshes was 5.5 km2/year along the NYSC over the past three decades. There have been many dramatic declines in the two main distribution areas of S. salsa saltmarshes with a 77% loss of habitat area in Liaodong Bay (from 112 km2 to 26 km2) and a 52% loss in the Yellow River Delta wetland-Guangli-Zhima estuarine wetland (from 137 km2 to 65 km2). Land reclamation is the most important impact factor in the loss of S. salsa saltmarshes, while there have been limited effects of natural succession and smooth cordgrass (Spartina alterniflora) invasion. In light of the important ecological services and economic value of the S. salsa habitat, emergency conservation actions (e.g., habitat restoration, strictly supervision) are needed to limit the rapid habitat loss, which should include the immediate cessation of extensive land reclamation along the NYSC.
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Mi X, Feng G, Hu Y, Zhang J, Chen L, Corlett RT, Hughes AC, Pimm S, Schmid B, Shi S, Svenning JC, Ma K. The global significance of biodiversity science in China: an overview. Natl Sci Rev 2021; 8:nwab032. [PMID: 34694304 PMCID: PMC8310773 DOI: 10.1093/nsr/nwab032] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Revised: 01/03/2021] [Accepted: 02/14/2021] [Indexed: 01/13/2023] Open
Abstract
Biodiversity science in China has seen rapid growth over recent decades, ranging from baseline biodiversity studies to understanding the processes behind evolution across dynamic regions such as the Qinghai-Tibetan Plateau. We review research, including species catalogues; biodiversity monitoring; the origins, distributions, maintenance and threats to biodiversity; biodiversity-related ecosystem function and services; and species and ecosystems' responses to global change. Next, we identify priority topics and offer suggestions and priorities for future biodiversity research in China. These priorities include (i) the ecology and biogeography of the Qinghai-Tibetan Plateau and surrounding mountains, and that of subtropical and tropical forests across China; (ii) marine and inland aquatic biodiversity; and (iii) effective conservation and management to identify and maintain synergies between biodiversity and socio-economic development to fulfil China's vision for becoming an ecological civilization. In addition, we propose three future strategies: (i) translate advanced biodiversity science into practice for biodiversity conservation; (ii) strengthen capacity building and application of advanced technologies, including high-throughput sequencing, genomics and remote sensing; and (iii) strengthen and expand international collaborations. Based on the recent rapid progress of biodiversity research, China is well positioned to become a global leader in biodiversity research in the near future.
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Affiliation(s)
- Xiangcheng Mi
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Gang Feng
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau and Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China
| | - Yibo Hu
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jian Zhang
- Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China
| | - Lei Chen
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Richard T Corlett
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun 666303, China
- Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Menglun, 666303, China
| | - Alice C Hughes
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun 666303, China
- Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Menglun, 666303, China
| | - Stuart Pimm
- Nicholas School of the Environment, Duke University, Durham, NC 27708, USA
| | - Bernhard Schmid
- Department of Geography, Remote Sensing Laboratories, University of Zurich, Zurich 8057, Switzerland
| | - Suhua Shi
- State Key Laboratory of Biocontrol, Guangdong Key Laboratory of Plant Resources, Key Laboratory of Biodiversity Dynamics and Conservation of Guangdong Higher Education Institutes, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China
| | - Jens-Christian Svenning
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE) and Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, DK-8000 Aarhus C, Denmark
| | - Keping Ma
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- Universityof Chinese Academy of Sciences, Beijing 100049, China
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26
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Hill NK, Woodworth BK, Phinn SR, Murray NJ, Fuller RA. Global protected-area coverage and human pressure on tidal flats. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2021; 35:933-943. [PMID: 32969049 PMCID: PMC8317051 DOI: 10.1111/cobi.13638] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 09/03/2020] [Accepted: 09/20/2020] [Indexed: 06/11/2023]
Abstract
Tidal flats are a globally distributed coastal ecosystem important for supporting biodiversity and ecosystem services. Local to continental-scale studies have documented rapid loss of tidal habitat driven by human impacts, but assessments of progress in their conservation are lacking. With an internally consistent estimate of distribution and change, based on Landsat satellite imagery, now available for the world's tidal flats, we examined tidal flat representation in protected areas (PAs) and human pressure on tidal flats. We determined tidal flat representation and its net change in PAs by spatially overlaying tidal flat maps with the World Database of Protected Areas. Similarly, we overlaid the most recent distribution map of tidal flats (2014-2016) with the human modification map (HMc ) (range from 0, no human pressure, to 1, very high human pressure) to estimate the human pressure exerted on this ecosystem. Sixty-eight percent of the current extent of tidal flats is subject to moderate to very high human pressure (HMc > 0.1), but 31% of tidal flat extent occurred in PAs, far exceeding PA coverage of the marine (6%) and terrestrial (13%) realms. Net change of tidal flat extent inside PAs was similar to tidal flat net change outside PAs from 1999 to 2016. Substantial shortfalls in protection of tidal flats occurred across Asia, where large intertidal extents coincided with high to very high human pressure (HMc > 0.4-1.0) and net tidal flat losses up to 86.4 km² (95% CI 83.9-89.0) occurred inside individual PAs in the study period. Taken together, our results show substantial progress in PA designation for tidal flats globally, but that PA status alone does not prevent all habitat loss. Safeguarding the world's tidal flats will thus require deeper understanding of the factors that govern their dynamics and effective policy that promotes holistic coastal and catchment management strategies.
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Affiliation(s)
- Narelle K. Hill
- School of Biological SciencesThe University of QueenslandBrisbaneQLD4072Australia
| | - Bradley K. Woodworth
- School of Biological SciencesThe University of QueenslandBrisbaneQLD4072Australia
| | - Stuart R. Phinn
- School of Earth and Environmental SciencesThe University of QueenslandBrisbaneQLD4072Australia
| | - Nicholas J. Murray
- School of Earth and Environmental SciencesThe University of QueenslandBrisbaneQLD4072Australia
- College of Science and EngineeringJames Cook UniversityTownsvilleQLD4811Australia
| | - Richard A. Fuller
- School of Biological SciencesThe University of QueenslandBrisbaneQLD4072Australia
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Si Y, Xu F, Wei J, Zhang L, Murray N, Yang R, Ma K, Gong P. A systematic network-based migratory bird monitoring and protection system is needed in China. Sci Bull (Beijing) 2021; 66:955-957. [PMID: 36654249 DOI: 10.1016/j.scib.2021.01.033] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Affiliation(s)
- Yali Si
- Ministry of Education Field Research Station for East Asian Migratory Birds, Department of Earth System Science, Tsinghua University, Beijing 100086, China; Institute of Environmental Sciences, Leiden University, Leiden 2311 CT, the Netherlands
| | - Fei Xu
- Ministry of Education Field Research Station for East Asian Migratory Birds, Department of Earth System Science, Tsinghua University, Beijing 100086, China
| | - Jie Wei
- Ministry of Education Field Research Station for East Asian Migratory Birds, Department of Earth System Science, Tsinghua University, Beijing 100086, China
| | - Lin Zhang
- Ministry of Education Field Research Station for East Asian Migratory Birds, Department of Earth System Science, Tsinghua University, Beijing 100086, China
| | - Nicholas Murray
- College of Science and Engineering, James Cook University, Townsville 4811, Australia
| | - Rui Yang
- Institute for National Parks, Tsinghua University, Beijing 100086, China
| | - Keping Ma
- Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Peng Gong
- Ministry of Education Field Research Station for East Asian Migratory Birds, Department of Earth System Science, Tsinghua University, Beijing 100086, China; Institute for National Parks, Tsinghua University, Beijing 100086, China.
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Does Tourism Affect Economic Growth of China? A Panel Granger Causality Approach. SUSTAINABILITY 2021. [DOI: 10.3390/su13031349] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The main purpose of the current study is to investigate if tourism affects economic growth of China. The data set has been acquired from the Beijing Municipal Bureau of Statistics, and the time span of the data set takes into account a 20-year time period, from 2000 to 2019. To determine the strength of the above-mentioned relationship previous models that have been used for this research are mainly VAR (vector auto-regression) and VECM (vector error correction) models. The VAR and VECM models have been conducted together with the Granger causality test. The internal revenue generated from tourism-related activities is taken as being the main indicator for the tourism industry, while economic growth is determined by GDP (gross domestic product). We support the above-mentioned notion, as we found that a strong relationship exists between the development of the tourism industry and economic growth. Moreover, our analysis also indicates that this industry has a major impact on long-term economic growth in the region as well. This study thus provides further support to the existing literature on the topic of tourism and the impact that tourism-related activities have upon economic development and growth. The existence and the impact of tourism-related activities upon long-term economic growth were confirmed by the results of the VAR models. At the same time, the unidirectional results of VECM models have confirmed the existence of economic growth in the short term. In our case, the cardinal relationship between the development of the tourism industry and the economic growth in the Beijing region of China have managed to provide strong empirical support to the earlier stated notions and to the literature alike.
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Sustainability and Waste Imports in China: Pollution Haven or Resources Hunting. SUSTAINABILITY 2021. [DOI: 10.3390/su13020932] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Motivations behind a country’s importation of waste are categorized into the pollution haven hypothesis (PHH) and the resource hunting hypothesis (RHH). The importation of wastes can lead to environmental sustainability concerns, requiring governments to intervene when the market fails to reduce the negative externalities by strengthening and implementing environmental regulations. Motivated by China’s position within a rapidly growing but environmentally damaging sector of trade, this paper has three goals: (1) to classify the primary hypothesis that governs China’s flow of traded wastes; (2) to verify the heterogeneous impact of the pollution paradise motivation and resource demand motivation of waste imports from developed and developing countries, and across industries; (3) to assess the impact of domestic environmental regulations on the motives behind China’s waste imports. Using 28 imported waste-varieties from 20 of China’s major trade partners across 24 years, findings indicate that the flow of Chinese waste imports is relatively unresponsive under the pollution haven effect. However, the resource hunting effect from developing countries is significantly greater than what originates from developed countries, despite the laws of 2011 and 2017 established to restrict resource hunting activities. These results have important implications for improving the efficiency of China’s waste sorting and recycling systems.
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30
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China’s Key Forestry Ecological Development Programs: Implementation, Environmental Impact and Challenges. FORESTS 2021. [DOI: 10.3390/f12010101] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Forest ecosystems are in serious trouble globally, largely due to the over-exploitation. To alleviate environmental problems caused by deforestation, China has undertaken a series of key forestry ecological development programs, including the Natural Forest Protection Program (NFPP), the Conversion of Cropland into Forests Program (CCFP), the Desertification Combating Program around Beijing and Tianjing (DCBT), the Key Shelterbelt Development Programs in the Three-North Region and in the Middle and Lower Reaches of the Yangtze River (KSDP) and the Nature Reserve Development Program in Forestry Sector (WCNR). This article aims to make a documentation of the specific contents (duration, major aims, geographic coverage and investment), and environmental impacts of these programs from peer-reviewed literature, official reports and journals. Environmental impact is measured with land area afforested (except the WCNR) and the consequent changes in ecosystem function. Overall, with the huge investment and long-term efforts, these programs have made tremendous progress in increasing vegetative coverage, enhancing carbon sequestration, controlling soil erosion, conservation of biodiversity, etc. For proper implementation and remarkable achievement, a more balanced approach with flexible planning, suitable measures and proper management should be adopted. Meanwhile, the scientific communities need to be more actively involved in execution and assessment of these programs. The environmental impact of the DCBT, the KSDP, and the WCNR deserve more research concern.
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Jackson MV, Fuller RA, Gan X, Li J, Mao D, Melville DS, Murray NJ, Wang Z, Choi CY. Dual threat of tidal flat loss and invasive Spartina alterniflora endanger important shorebird habitat in coastal mainland China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 278:111549. [PMID: 33260073 DOI: 10.1016/j.jenvman.2020.111549] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 09/12/2020] [Accepted: 10/20/2020] [Indexed: 06/12/2023]
Abstract
China's coastal wetlands are critically important to shorebirds. Substantial loss of tidal flats, shorebirds' primary foraging grounds, has occurred from land claim and other processes, and is driving population declines in multiple species. Smooth cordgrass Spartina alterniflora was intentionally introduced to the coast of China in 1979 to promote conversion of tidal flats into dry land and has since spread rapidly. The occurrence of S. alterniflora reduces the availability of foraging and roosting habitat for shorebirds, and may be particularly detrimental in places that have experienced other tidal flat loss. However, the extent to which S. alterniflora is encroaching upon important shorebird habitat throughout coastal mainland China, and its intersection with tidal flat loss, has not been quantified. Here, we i) estimate change in the spatial extent of tidal flats between 2000 and 2015 in coastal mainland China where internationally important numbers of shorebirds have been recorded; ii) map the extent of S. alterniflora coverage in 2015 at the same set of sites; and, iii) investigate where these two threats to important shorebird habitat intersect. Our analysis of remote sensing data indicated a 15% net loss in tidal flat area between 2000 and 2015 across all sites, including a net loss in tidal flat area in 39 of 53 individual sites (74%). Spartina alterniflora occurred at 28 of 53 sites (53%) in 2015, of which 22 sites (79%) also had a net loss in tidal flat area between 2000 and 2015. Combined pressures from tidal flat loss and S. alterniflora invasion were most severe in eastern coastal China. Species highly dependent on migrating through this region, which include the Critically Endangered Spoon-billed Sandpiper and Endangered Nordmann's Greenshank and Far Eastern Curlew, may be particularly impacted. Our results underscore the urgent need to arrest tidal flat declines and develop a comprehensive control program for S. alterniflora in coastal areas of mainland China that are important for shorebirds.
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Affiliation(s)
- Micha V Jackson
- School of Biological Sciences, The University of Queensland, Brisbane, Australia
| | - Richard A Fuller
- School of Biological Sciences, The University of Queensland, Brisbane, Australia
| | - Xiaojing Gan
- Paulson Institute, Dong Cheng District, Beijing, China
| | - Jing Li
- Spoon-billed Sandpiper in China, Shanghai, China
| | - Dehua Mao
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
| | | | - Nicholas J Murray
- College of Science and Engineering, James Cook University, Townsville, Queensland, Australia
| | - Zongming Wang
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
| | - Chi-Yeung Choi
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
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32
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Huang Y, Zhao H, Ma G, Li J, Chen L. Tracking area loss of China’s Nature Reserves from 2003 to 2015. Glob Ecol Conserv 2020. [DOI: 10.1016/j.gecco.2020.e01224] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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35
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Song K, Mi CR, Yang N, Sun L, Sun YH, Xu JL. Improve the roles of nature reserves in conservation of endangered pheasant in a highly urbanized region. Sci Rep 2020; 10:17673. [PMID: 33077778 PMCID: PMC7573598 DOI: 10.1038/s41598-020-74724-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2019] [Accepted: 10/06/2020] [Indexed: 11/12/2022] Open
Abstract
Nature reserves play an extraordinarily important role in conserving animal populations and their habitats. However, landscape change and unreasonable zoning designations often render these protected areas inadequate. Therefore, regular evaluation of the efficacy of protected lands is critical for maintaining and improving management strategies. Using species distribution models and GAP analysis, we assessed the changes in suitable habitat for the Brown Eared-pheasant (Crossoptilon mantchuricum) in two Chinese nature reserves between 1995 and 2013. Our results showed that the habitat suitability of Brown Eared-pheasant has changed dramatically during this period, and fragmentation analyses showed an increase in concentration area and decrease in patch area. In particular, our findings show that the national nature reserves need to adjust their ranges to ensure the conservation of this flagship species. Our study further provides a new viewpoint for evaluating the efficacy of protected lands, particularly in highly urbanized regions where conservation goals must be balanced with changing landscapes.
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Affiliation(s)
- Kai Song
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, China.,Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Science, Beijing, 100101, China.,Department of Ecology and Genetics, Uppsala University, Norbyvägen 18D, 75236, Uppsala, Sweden
| | - Chun-Rong Mi
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Science, Beijing, 100101, China
| | - Nan Yang
- Baihuashan National Nature Reserve, Beijing, 102300, China
| | - Lei Sun
- Xiaowutaishan National Nature Reserve, Hebei, 075061, China
| | - Yue-Hua Sun
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Science, Beijing, 100101, China
| | - Ji-Liang Xu
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, China.
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36
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Millennial Tourists’ Environmentally Sustainable Behavior Towards a Natural Protected Area: An Integrative Framework. SUSTAINABILITY 2020. [DOI: 10.3390/su12208545] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
In the last few years, natural protected areas have been facing great challenges and degradation around the world. Among this, environmental sustainability has become a priority to create harmony between tourists and nature. Tourists visiting protected areas are becoming progressively more concerned regarding the environment. Moreover, the United Nations (UN) “Sustainable Development Goals (SDGs)” have highlighted the potential role of young tourists to contribute to sustainable tourism. However, very few studies have focused on tourists’ environmentally sustainable behavior towards natural protected areas. To fill the existing gap in the literature, this study aims to provide a theoretical framework that includes environmental sustainability awareness (ESA) in measuring millennial tourists’ environmentally sustainable behavior (ESB). Thus, this study delivers an integrated approach based on the value-belief-norm (VBN) theory and the concept of the new ecological paradigm (NEP) towards protected areas. A self-administered questionnaire survey was conducted from one of the protected areas located in the north of Sichuan province of China, and 511 responses were obtained for statistical analysis. Results of the structural statistical analysis showed that the unified model includes a satisfactory level of predictive power for tourists’ ESB, which was superior to existing theories and concepts. The findings also revealed that all proposed relationships of the variables were significant and identified the positive influence of environmental sustainability awareness in generating the ESB. This study contributes towards sustainable tourism development and the conservation of protected areas, with several practical implications for local authorities in terms of millennial participation.
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Shoreline Changes Along the Coast of Mainland China—Time to Pause and Reflect? ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 2020. [DOI: 10.3390/ijgi9100572] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Shoreline changes are of great importance for evaluating the interaction between humans and ecosystems in coastal areas. They serve as a useful metric for assessing the ecological costs of socioeconomic developmental activities along the coast. In this paper, we present an assessment of shoreline changes along the eastern coast of mainland China from ~1990 to 2019 by applying a novel method recently developed by us. This method which we call the Nearest Distance Method (NDM) is used to make a detailed assessment of shorelines delineated from Landsat Thematic Mapper (TM) and Operational Land Imager (OLI) images. The results indicate a dramatic decline in natural shorelines that correspond to the rapid increase in the construction of artificial shorelines, driven by China’s economic growth. Of the entire coast of mainland China, the biggest change occurred along the Bohai Sea, where artificial shorelines expanded from 42.4% in ~1990 to 81.5% in 2019. Over this period, this study indicates that China lost > 60% of its biological shorelines, a trend that is especially worrisome because these include areas that were once biologically diverse and extremely rich. As anticipated, shoreline losses were greatest where regions of low economic value had been transformed to areas of higher economic value. Overall, this influence of human activities on shorelines in China is unprecedented. The repercussions of these changes on ecosystems, and the susceptibility of new shoreline developments to population growth and sea-level rise, need to be assessed urgently before additional changes are effected.
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Duan H, Xia S, Jackson MV, Zhao N, Liu Y, Teng J, Meng Z, Yu X, Shi J. Identifying new sites of significance to waterbirds conservation and their habitat modification in the Yellow and Bohai Seas in China. Glob Ecol Conserv 2020. [DOI: 10.1016/j.gecco.2020.e01031] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Sun S, Sang W, Axmacher JC. China's national nature reserve network shows great imbalances in conserving the country's mega-diverse vegetation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 717:137159. [PMID: 32062268 DOI: 10.1016/j.scitotenv.2020.137159] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 02/04/2020] [Accepted: 02/05/2020] [Indexed: 06/10/2023]
Abstract
The National Nature Reserve (NNR) network forms a central element in China's governmental strategy to conserve the country's vast biodiversity and its varied ecosystems. Nonetheless, the effectiveness of the existing NNR network in protecting China's highly diverse habitats and the fauna and flora they contain has remained unclear. Here, we analyze how comprehensively the existing NNR network protects China's vegetation diversity, identifying potential gaps to inform future NNR designations. Covering ~15.7% of China's land area, the existing nature reserve network contains 18 main vegetation types and 26 sub-types. All main vegetation types are also contained in the National-level Nature Reserves (NNRs), but to highly differing degrees. NNRs cover ~24.0% of China's grasslands, but only ~3.3% of the country's monsoon forests. With regards to main vegetation regions, about 41.4% of the Qinghai-Xizang Plateau is covered by NNRs, in contrast to only ~4.6% of the region representing warm-temperate deciduous broad-leaved forests. In five main vegetation regions, NNRs cover <10% of the area and are scattered across a highly fragmented network, leading for example to China's highly biodiverse subtropical evergreen broad-leaved forests being conserved only in small, isolated NNRs. NNRs also greatly vary in the number of vegetation types they individually comprise, with only 64 NNRs (18.9%) individually containing >50% of the vegetation types in their respective region. Overall, NNR size increases and fragmentation decreases from China's south-east to its western provinces. The resulting, extremely uneven distribution of NNRs across China limits their effectiveness in protection the country's plant diversity treasure trove. The country's NNR network therefore needs significant adjustments to effectively conserve China's valuable natural resources for future generations.
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Affiliation(s)
- Siqi Sun
- Minzu University of China, Beijing 100081, China
| | - Weiguo Sang
- Minzu University of China, Beijing 100081, China.
| | - Jan Christoph Axmacher
- UCL Department of Geography, University College London, Pearson Building, Gower Street, London WC1E 6BT, UK; Faculty of Environmental and Forest Sciences, Agricultural University of Iceland, Keldnaholt, Árleyni 22, 112 Reykjavík, Iceland
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40
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Zhang L, Pacifici M, Li BV, Gibson L. Drought vulnerability among China's ungulates and mitigation offered by protected areas. CONSERVATION SCIENCE AND PRACTICE 2020. [DOI: 10.1111/csp2.177] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Affiliation(s)
- Lyubing Zhang
- School of Environmental Science and EngineeringSouthern University of Science and Technology Shenzhen Guangdong China
- State Key Laboratory of Information Engineering in Surveying, Mapping and Remote SensingWuhan University Wuhan China
| | - Michela Pacifici
- Global Mammal Assessment Program, Department of Biology and BiotechnologiesSapienza Università di Roma Rome Italy
| | - Binbin V. Li
- Environmental Research CentreDuke Kunshan University Kunshan Jiangsu China
| | - Luke Gibson
- School of Environmental Science and EngineeringSouthern University of Science and Technology Shenzhen Guangdong China
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Hughes AC, Lechner AM, Chitov A, Horstmann A, Hinsley A, Tritto A, Chariton A, Li BV, Ganapin D, Simonov E, Morton K, Toktomushev K, Foggin M, Tan-Mullins M, Orr MC, Griffiths R, Nash R, Perkin S, Glémet R, Kim M, Yu DW. Horizon Scan of the Belt and Road Initiative. Trends Ecol Evol 2020; 35:583-593. [PMID: 32521242 DOI: 10.1016/j.tree.2020.02.005] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 01/29/2020] [Accepted: 02/11/2020] [Indexed: 10/24/2022]
Abstract
The Belt and Road Initiative (BRI) represents the largest infrastructure and development project in human history, and presents risks and opportunities for ecosystems, economies, and communities. Some risks (habitat fragmentation, roadkill) are obvious, however, many of the BRI's largest challenges for development and conservation are not obvious and require extensive consideration to identify. In this first BRI Horizon Scan, we identify 11 frontier issues that may have large environmental and social impacts but are not yet recognised. More generally, the BRI will increase China's participation in international environmental governance. Thus, new cooperative modes of governance are needed to balance geopolitical, societal, and environmental interests. Upgrading and standardising global environmental standards is essential to safeguard ecological systems and human societies.
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Affiliation(s)
- Alice C Hughes
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, Yunnan 666303, China; Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Mengla, Yunnan 666303, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Alex M Lechner
- School of Environmental and Geographical Sciences, University of Nottingham Malaysia, 43500 Semenyih, Malaysia
| | - Alexander Chitov
- Faculty of Law, University of Chiang Mai, Chiang Mai 50200, Thailand
| | | | - Amy Hinsley
- WildCRU, Department of Zoology, University of Oxford, OX1 3SZ, UK
| | - Angela Tritto
- Institute of Emerging Market Studies, The Hong Kong University of Science and Technology, Hong Kong, HK-SAR, China
| | - Anthony Chariton
- Department of Biological Sciences, Macquarie University, NSW, Australia
| | - Binbin V Li
- Environmental Research Center, Duke Kunshan University, Kunshan, Jiangsu, China; Nicholas School of the Environment, Duke University, Durham, North, Carolina, NC 27708, USA
| | - Delfin Ganapin
- World Wide Fund for Nature (WWF) International, 1196 Gland, Switzerland
| | - Eugene Simonov
- Rivers without Boundaries International Coalition, Dalian 116650, China; Daursky Biosphere Reserve, Nizhny Tsasuchei, Zabaikalsky Province, Russia
| | - Katherine Morton
- School of East Asian Studies, University of Sheffield, Sheffield, S10 2TD, UK; Schwarzman College, Tsinghua University, Beijing, China
| | - Kemel Toktomushev
- Mountain Societies Research Institute, University of Central Asia, Bishkek 720002, Kyrgyz Republic
| | - Marc Foggin
- Institute of Asian Research, School of Public Policy and Global Affairs, University of British Columbia, Vancouver, BC, Canada
| | - May Tan-Mullins
- School of International Studies, Institute of Asia and Pacific Studies, University of Nottingham, Ningbo, China
| | - Michael C Orr
- Key Laboratory of Zoological Systematics, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Richard Griffiths
- International Institute for Asian Studies, 2311, GJ, Leiden, The Netherlands
| | - Richard Nash
- Rivers without Boundaries International Coalition, Dalian 116650, China
| | - Scott Perkin
- IUCN Asia Regional Office, Watthana, Bangkok 10110, Thailand
| | - Raphaël Glémet
- IUCN Asia Regional Office, Watthana, Bangkok 10110, Thailand
| | - Minsun Kim
- IUCN Asia Regional Office, Watthana, Bangkok 10110, Thailand
| | - Douglas W Yu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
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He J, Lin S, Kong F, Yu J, Zhu H, Jiang H. Determinants of the beta diversity of tree species in tropical forests: Implications for biodiversity conservation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 704:135301. [PMID: 31796290 DOI: 10.1016/j.scitotenv.2019.135301] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 10/29/2019] [Accepted: 10/29/2019] [Indexed: 06/10/2023]
Abstract
The mapping of earth's biodiversity has advanced our theoretical and empirical understanding of biodiversity and has thus guided conservation efforts. Yet, early biodiversity maps often relied on alpha diversity indices, while beta diversity has rarely been used for practical conservation actions. We used generalized dissimilarity modelling (GDM) and variance partitioning to map beta diversity patterns of Hainan Island, China, and explore its underlying factors based on a large dataset of 248,538 individual trees belonging to 1,016 species in 902 forest plots. We used principal component analysis and hierarchical clustering to visualize community similarity, and spatial overlap analysis to assess the ability of the current protected areas (PAs) to encompass beta diversity. The GDMs explained 27.65% and 26.58% of the variation in beta diversity at the genus and species levels, respectively. The community composition of tree species in Hainan presented a general east-to-west gradient, and three floristic regions were delineated. This biogeographical pattern is predominantly structured by mean annual precipitation. Environmental variables, rather than geographical distance, were the most important factors determining present beta diversity patterns. Currently, PAs of Hainan Island are concentrated on mountain forest areas, while the lowland forest has largely been ignored. Thus, we suggest that biodiversity mapping based only on alpha diversity is not enough to identify conservation gaps, and the inclusion of beta diversity in such maps constitutes a promising tool to maximize the biodiversity coverage of PAs. Our study provides empirical evidence that a spatially explicit analysis of beta diversity in a specific region can be used for conservation planning.
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Affiliation(s)
- Jiekun He
- Spatial Ecology Laboratory, School of Life Sciences, South China Normal University, 510631 Guangzhou, China
| | - Siliang Lin
- Spatial Ecology Laboratory, School of Life Sciences, South China Normal University, 510631 Guangzhou, China
| | - Fanmao Kong
- Guangzhou Qimao Ecological Technology Co., Ltd., 510631 Guangzhou, China
| | - Jiehua Yu
- Spatial Ecology Laboratory, School of Life Sciences, South China Normal University, 510631 Guangzhou, China
| | - Hua Zhu
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, 666303 Mengla, China.
| | - Haisheng Jiang
- Spatial Ecology Laboratory, School of Life Sciences, South China Normal University, 510631 Guangzhou, China.
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Yang F, Wu R, Jin T, Long Y, Zhao P, Yu Q, Wang L, Wang J, Zhao H, Guo Y. Efficiency of unlocking or locking existing protected areas for identifying complementary areas for biodiversity conservation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 694:133771. [PMID: 31756816 DOI: 10.1016/j.scitotenv.2019.133771] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Revised: 08/02/2019] [Accepted: 08/03/2019] [Indexed: 06/10/2023]
Abstract
It is well known that existing protected areas (PAs) should function as focal areas for expanding PA systems. The optimal complementary conservation areas are often identified by implementing two approaches in systematic conservation planning, i.e., unlocking or locking existing PAs. However, evidence-based studies are lacking for clarifying the efficiencies of these two planning approaches. With Sichuan in southwest China - part of a global biodiversity hotspot - as one case, this study first assessed the ecological representativeness of existing nature reserves (NRs). Using 32 natural vegetation types as the conservation features, we then implemented a systematic conservation planning process by running Marxan software with NR-unlocked and NR-locked scenarios. A human disturbance index was also included as a penalty function in Marxan for achieving cost-effective planning. We finally investigated the efficiencies of the unlocking and locking planning approaches by comparing the outcomes of the NR-unlocked and NR-locked scenarios. We found that existing NRs were geographically biased towards the western mountainous regions with high elevations and low human disturbance levels. For achieving the same quantitative conservation targets, the total area of the NR-locked priority conservation areas was 18.6% larger than that of the NR-unlocked areas, whereas the area of NR-locked complementary areas to existing NRs was 15.3% smaller than that of NR-unlocked ones. Moreover, the NR-locked priority conservation areas had higher ecological representativeness than NR-unlocked areas. The results suggest that if a completely new PA system is to be established without considering existing PAs, the unlocking approach could more efficiently achieve the full conservation targets at lower costs of land area and with better connected habitats. When existing PAs must be used as focal areas for expansion, the locking approach is more cost-effective for filling conservation gaps by requiring smaller amounts of complementary areas. Our analysis provides evidence-based support for expanding the current PA systems in a cost-effective manner.
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Affiliation(s)
- Feiling Yang
- Conservation Biogeography Research Group, Institute of International Rivers and Eco-security, Yunnan University, Kunming, Yunnan 650091, China; Yunnan Key Laboratory of International Rivers and Transboundary Ecosecurity, Yunnan University, Kunming, Yunnan 650091, China
| | - Ruidong Wu
- Conservation Biogeography Research Group, Institute of International Rivers and Eco-security, Yunnan University, Kunming, Yunnan 650091, China; Yunnan Key Laboratory of International Rivers and Transboundary Ecosecurity, Yunnan University, Kunming, Yunnan 650091, China.
| | - Tong Jin
- The Nature Conservancy China Program, B4-2 Qijiayuan Diplomatic Compound, No. 9 Jianguomenwai Dajie, Beijing 100600, China
| | - Yongcheng Long
- Southwest Branch of Society of Entrepreneur and Ecology, 17-3 Jingdong Road, Kunming, Yunnan 650217, China
| | - Peng Zhao
- The Nature Conservancy China Program, B4-2 Qijiayuan Diplomatic Compound, No. 9 Jianguomenwai Dajie, Beijing 100600, China
| | - Qian Yu
- International Crane Foundation, Beijing 100029, China
| | - Longzhu Wang
- The Nature Conservancy China Program, B4-2 Qijiayuan Diplomatic Compound, No. 9 Jianguomenwai Dajie, Beijing 100600, China
| | - JunJun Wang
- Conservation Biogeography Research Group, Institute of International Rivers and Eco-security, Yunnan University, Kunming, Yunnan 650091, China; Yunnan Key Laboratory of International Rivers and Transboundary Ecosecurity, Yunnan University, Kunming, Yunnan 650091, China
| | - Haiwei Zhao
- Conservation Biogeography Research Group, Institute of International Rivers and Eco-security, Yunnan University, Kunming, Yunnan 650091, China; Yunnan Key Laboratory of International Rivers and Transboundary Ecosecurity, Yunnan University, Kunming, Yunnan 650091, China
| | - Yang Guo
- Conservation Biogeography Research Group, Institute of International Rivers and Eco-security, Yunnan University, Kunming, Yunnan 650091, China; Yunnan Key Laboratory of International Rivers and Transboundary Ecosecurity, Yunnan University, Kunming, Yunnan 650091, China
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44
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Effects of human population density on the pattern of terrestrial nature reserves in China. Glob Ecol Conserv 2019. [DOI: 10.1016/j.gecco.2019.e00762] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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45
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Wu R, Possingham HP, Yu G, Jin T, Wang J, Yang F, Liu S, Ma J, Liu X, Zhao H. Strengthening China's national biodiversity strategy to attain an ecological civilization. Conserv Lett 2019. [DOI: 10.1111/conl.12660] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Affiliation(s)
- Ruidong Wu
- Conservation Biogeography Research Group, Institute of International Rivers and Eco‐Security Yunnan University Kunming Yunnan China
- Yunnan Key Laboratory of International Rivers and Transboundary Eco‐Security Yunnan University Kunming Yunnan China
| | - Hugh P. Possingham
- The Nature Conservancy Arlington Virginia USA
- Centre for Biodiversity and Conservation Science, School of Biological Sciences University of Queensland St. Lucia QLD Australia
| | - Guangzhi Yu
- The Paulson Institute (U.S.) Beijing Representative Office Sundongan Plaza Beijing China
| | - Tong Jin
- The Nature Conservancy China Program Beijing China
| | - Junjun Wang
- Conservation Biogeography Research Group, Institute of International Rivers and Eco‐Security Yunnan University Kunming Yunnan China
- Yunnan Key Laboratory of International Rivers and Transboundary Eco‐Security Yunnan University Kunming Yunnan China
| | - Feiling Yang
- Conservation Biogeography Research Group, Institute of International Rivers and Eco‐Security Yunnan University Kunming Yunnan China
- Yunnan Key Laboratory of International Rivers and Transboundary Eco‐Security Yunnan University Kunming Yunnan China
| | - Shiliang Liu
- School of Environment Beijing Normal University Beijing China
| | | | - Xi Liu
- Southwest Branch of Society of Entrepreneur and Ecology Kunming Yunnan China
| | - Haiwei Zhao
- Conservation Biogeography Research Group, Institute of International Rivers and Eco‐Security Yunnan University Kunming Yunnan China
- Yunnan Key Laboratory of International Rivers and Transboundary Eco‐Security Yunnan University Kunming Yunnan China
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Golden Kroner RE, Qin S, Cook CN, Krithivasan R, Pack SM, Bonilla OD, Cort-Kansinally KA, Coutinho B, Feng M, Martínez Garcia MI, He Y, Kennedy CJ, Lebreton C, Ledezma JC, Lovejoy TE, Luther DA, Parmanand Y, Ruíz-Agudelo CA, Yerena E, Morón Zambrano V, Mascia MB. The uncertain future of protected lands and waters. Science 2019; 364:881-886. [DOI: 10.1126/science.aau5525] [Citation(s) in RCA: 106] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Accepted: 04/09/2019] [Indexed: 11/02/2022]
Abstract
Protected areas are intended to safeguard biodiversity in perpetuity, yet evidence suggests that widespread legal changes undermine protected area durability and efficacy. We documented these legal changes—protected area downgrading, downsizing, and degazettement (PADDD) events—in the United States and Amazonian countries and compiled available data globally. Governments of the United States and Amazonian countries enacted 269 and 440 PADDD events, respectively. Between 1892 and 2018, 73 countries enacted 3749 PADDD events, removing 519,857 square kilometers from protection and tempering regulations in an additional 1,659,972 square kilometers; 78% of events were enacted since 2000. Most PADDD events (62%) are associated with industrial-scale resource extraction and development, suggesting that PADDD may compromise biodiversity conservation objectives. Strategic policy responses are needed to address PADDD and sustain effective protected areas.
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