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Li Q, Zhang Q, Jiang Q, Zhou H, Zhang Z, Zhou H, Wei W, Hong M. Daily Activity Rhythms of Animals in the Southwest Mountains, China: Influences of Interspecific Relationships and Seasons. Animals (Basel) 2024; 14:2842. [PMID: 39409791 PMCID: PMC11476335 DOI: 10.3390/ani14192842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Revised: 09/30/2024] [Accepted: 10/01/2024] [Indexed: 10/20/2024] Open
Abstract
Temporal and spatial factors regulate the interactions between apex predators, mesocarnivores, and herbivores. Prey adjust their activity patterns and spatial utilization based on predator activities; in turn, predators also adapt to the activities of their prey. To elucidate the factors influencing the daily activity rhythms of animals, 115 camera traps were established from September 2019 to June 2023 to assess the influences of interspecific relationships and seasons on the daily activity rhythms of animals in the southwest mountains of China. The species captured by the cameras included six Carnivora (such as Panthera pardus and Lynx lynx), six Artiodactyla (such as Moschus spp. and Rusa unicolor), one Primate (Macaca mulatta), and two Galliformes (Crossoptilon crossoptilon, Ithaginis cruentus). The results demonstrated that the 15 species exhibited different activity rhythms and peak activities to reduce intense resource competition. There were differences in the species' activity rhythms in different seasons, with competition among different species being more intense in the cold season than in the warm season. In predation relationships, the overlap coefficient in the cold season exceeded that of the warm season, possibly due to the abundant resources in summer and food scarcity in winter. In competitive relationships, 15 pairs of species exhibited significantly higher overlap coefficients in the cold season compared to the warm season, possibly due to increased demands for energy during the cold period or seasonal changes in predatory behavior. By analyzing the daily and seasonal activity patterns of dominant species in the study area, temporal niche overlaps were established to compare the competition levels between species. These findings indicate that the activity rhythms of the animals in this area not only result from evolutionary adaptation but are also influenced by season, food resources, and interspecific relationships (predation and competition). Thus, efforts should be made to reduce human interference, protect food resources in the winter, and monitor animals' interspecific relationships to protect animal diversity and maintain the stability of the ecosystem in this biodiversity hotspot in China.
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Affiliation(s)
- Qiuxian Li
- Liziping Giant Panda’s Ecology and Conservation Observation and Research Station of Sichuan Province (Science and Technology Department of Sichuan Province), China West Normal University, Nanchong 637009, China; (Q.L.); (Q.J.); (H.Z.); (Z.Z.); (H.Z.); (W.W.)
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637009, China
| | - Qian Zhang
- Appraisal Center for Environment and Engineering, Ministry of Ecology and Environment, Beijing 100006, China;
| | - Qingsong Jiang
- Liziping Giant Panda’s Ecology and Conservation Observation and Research Station of Sichuan Province (Science and Technology Department of Sichuan Province), China West Normal University, Nanchong 637009, China; (Q.L.); (Q.J.); (H.Z.); (Z.Z.); (H.Z.); (W.W.)
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637009, China
| | - Huaqiang Zhou
- Liziping Giant Panda’s Ecology and Conservation Observation and Research Station of Sichuan Province (Science and Technology Department of Sichuan Province), China West Normal University, Nanchong 637009, China; (Q.L.); (Q.J.); (H.Z.); (Z.Z.); (H.Z.); (W.W.)
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637009, China
| | - Zejun Zhang
- Liziping Giant Panda’s Ecology and Conservation Observation and Research Station of Sichuan Province (Science and Technology Department of Sichuan Province), China West Normal University, Nanchong 637009, China; (Q.L.); (Q.J.); (H.Z.); (Z.Z.); (H.Z.); (W.W.)
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637009, China
| | - Hong Zhou
- Liziping Giant Panda’s Ecology and Conservation Observation and Research Station of Sichuan Province (Science and Technology Department of Sichuan Province), China West Normal University, Nanchong 637009, China; (Q.L.); (Q.J.); (H.Z.); (Z.Z.); (H.Z.); (W.W.)
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637009, China
| | - Wei Wei
- Liziping Giant Panda’s Ecology and Conservation Observation and Research Station of Sichuan Province (Science and Technology Department of Sichuan Province), China West Normal University, Nanchong 637009, China; (Q.L.); (Q.J.); (H.Z.); (Z.Z.); (H.Z.); (W.W.)
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637009, China
| | - Mingsheng Hong
- Liziping Giant Panda’s Ecology and Conservation Observation and Research Station of Sichuan Province (Science and Technology Department of Sichuan Province), China West Normal University, Nanchong 637009, China; (Q.L.); (Q.J.); (H.Z.); (Z.Z.); (H.Z.); (W.W.)
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637009, China
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Zhang Y, Liu J, Yu J, Li C, Zhao X, Mo L, Wu W, Gai Y, Xu Q, Ni J, Shen L, Gu H, Zhang J, Qi D, Gu X. Enhancing the Viability of a Small Giant Panda Population Through Individual Introduction From a Larger Conspecific Group: A Scientific Simulation Study. Animals (Basel) 2024; 14:2345. [PMID: 39199878 PMCID: PMC11350795 DOI: 10.3390/ani14162345] [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: 06/23/2024] [Revised: 08/10/2024] [Accepted: 08/12/2024] [Indexed: 09/01/2024] Open
Abstract
Currently, nearly 70% of giant panda populations are facing survival challenges. The introduction of wild individuals can bring vitality to them. To explore this possibility, we hypothetically introduced giant pandas from Tangjiahe and Wanglang into Liziping and Daxiangling Nature Reserves. We collected feces from these areas and analyzed the genetic diversity and population viability before and after introduction using nine microsatellite loci. The results showed the genetic level and viability of the large populations were better than the small populations. We investigated the effects of time intervals (2a, 5a, and 10a; year: a) and gender combinations (female: F; male: M) on the rejuvenation of small populations. Finally, five introduction plans (1F/2a, 2F/5a, 1F1M/5a, 3F/10a, and 2F1M/10a) were obtained to make Liziping meet the long-term survival standard after 100 years, and six plans (1F/2a, 2F/5a, 1F1M/5a, 4F/10a, 3F1M/10a, and 2F2M/10a) were obtained in Daxiangling. The more females were introduced, the greater the impact on the large populations. After introducing individuals, the number of alleles and expected heterozygosity of the Liziping population are at least 6.667 and 0.688, and for the Daxiangling population, they are 7.111 and 0.734, respectively. Our study provides theoretical support for the translocation of giant pandas, a reference for the restoration of other endangered species worldwide.
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Affiliation(s)
- Yuzhen Zhang
- Key Laboratory of Southwest China Wildlife Resources Conservation Ministry of Education, China West Normal University, Nanchong 637001, China; (Y.Z.); (X.Z.); (Y.G.)
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China; (J.L.); (J.Y.); (C.L.); (L.M.); (W.W.)
| | - Jiabin Liu
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China; (J.L.); (J.Y.); (C.L.); (L.M.); (W.W.)
| | - Jiaojiao Yu
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China; (J.L.); (J.Y.); (C.L.); (L.M.); (W.W.)
| | - Cheng Li
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China; (J.L.); (J.Y.); (C.L.); (L.M.); (W.W.)
| | - Xing Zhao
- Key Laboratory of Southwest China Wildlife Resources Conservation Ministry of Education, China West Normal University, Nanchong 637001, China; (Y.Z.); (X.Z.); (Y.G.)
| | - Li Mo
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China; (J.L.); (J.Y.); (C.L.); (L.M.); (W.W.)
| | - Wei Wu
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China; (J.L.); (J.Y.); (C.L.); (L.M.); (W.W.)
| | - Yulin Gai
- Key Laboratory of Southwest China Wildlife Resources Conservation Ministry of Education, China West Normal University, Nanchong 637001, China; (Y.Z.); (X.Z.); (Y.G.)
| | - Qiang Xu
- World Wide Fund for Nature, China Office, Beijing 100006, China;
| | - Jiubin Ni
- The Nature Conservancy (USA) Beijing Representative Office, Beijing 100600, China;
| | - Limin Shen
- Tangjiahe National Nature Reserve, Guangyuan 628100, China;
| | - Haijun Gu
- Sichuan Forestry and Grassland Bureau, Chengdu 610082, China; (H.G.); (X.G.)
| | - Jindong Zhang
- Key Laboratory of Southwest China Wildlife Resources Conservation Ministry of Education, China West Normal University, Nanchong 637001, China; (Y.Z.); (X.Z.); (Y.G.)
| | - Dunwu Qi
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China; (J.L.); (J.Y.); (C.L.); (L.M.); (W.W.)
| | - Xiaodong Gu
- Sichuan Forestry and Grassland Bureau, Chengdu 610082, China; (H.G.); (X.G.)
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Huang X, Li G, Zhang G, Li Z, Zhao L, Zhu M, Xiang Q, Liu X, Tian M, Zhang H, Buesching CD, Liu D. Friend or foe? Using eye-tracking technology to investigate the visual discrimination ability of giant pandas. Curr Zool 2024; 70:430-439. [PMID: 39176058 PMCID: PMC11336681 DOI: 10.1093/cz/zoad020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 04/27/2023] [Indexed: 08/24/2024] Open
Abstract
The role that visual discriminative ability plays among giant pandas in social communication and individual discrimination has received less attention than olfactory and auditory modalities. Here, we used an eye-tracker technology to investigate pupil fixation patterns for 8 captive male giant pandas Ailuropoda melanoleuca. We paired images (N = 26) of conspecifics against: 1) sympatric predators (gray wolves and tigers), and non-threatening sympatric species (golden pheasant, golden snub-nosed monkey, takin, and red panda), 2) conspecifics with atypical fur coloration (albino and brown), and 3) zookeepers/non-zookeepers wearing either work uniform or plain clothing. For each session, we tracked the panda's pupil movements and measured pupil first fixation point (FFP), fixation latency, total fixation count (TFC), and duration (TFD) of attention to each image. Overall, pandas exhibited similar attention (FFPs and TFCs) to images of predators and non-threatening sympatric species. Images of golden pheasant, snub-nosed monkey, and tiger received less attention (TFD) than images of conspecifics, whereas images of takin and red panda received more attention, suggesting a greater alertness to habitat or food competitors than to potential predators. Pandas' TFCs were greater for images of black-white conspecifics than for albino or brown phenotypes, implying that familiar color elicited more interest. Pandas reacted differently to images of men versus women. For images of women only, pandas gave more attention (TFC) to familiar combinations (uniformed zookeepers and plain-clothed non-zookeepers), consistent with the familiarity hypothesis. That pandas can use visual perception to discriminate intra-specifically and inter-specifically, including details of human appearance, has applications for panda conservation and captive husbandry.
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Affiliation(s)
- Xinrui Huang
- Ministry of Education, Key Laboratory of Biodiversity Science and Ecological Engineering, Department of Ecology, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Guo Li
- Key Laboratory of State Forestry and Grassland Administration on Conservation Biology of Rare Animals in the Giant Panda National Park, China Conservation and Research Center for the Giant Panda, Sichuan 623004, China
| | - Guiquan Zhang
- Key Laboratory of State Forestry and Grassland Administration on Conservation Biology of Rare Animals in the Giant Panda National Park, China Conservation and Research Center for the Giant Panda, Sichuan 623004, China
| | - Zixiang Li
- Ministry of Education, Key Laboratory of Biodiversity Science and Ecological Engineering, Department of Ecology, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Lin Zhao
- Ministry of Education, Key Laboratory of Biodiversity Science and Ecological Engineering, Department of Ecology, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Mengdie Zhu
- Ministry of Education, Key Laboratory of Biodiversity Science and Ecological Engineering, Department of Ecology, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Qinghua Xiang
- School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China
| | - Xuefeng Liu
- Beijing Key Laboratory of Captive Wildlife Technology, Beijing Zoo, Beijing 100044, China
| | - Mei Tian
- School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China
| | - Hemin Zhang
- Key Laboratory of State Forestry and Grassland Administration on Conservation Biology of Rare Animals in the Giant Panda National Park, China Conservation and Research Center for the Giant Panda, Sichuan 623004, China
| | - Christina D Buesching
- Department of Biology, Irving K. Barber Faculty of Science, The University of British Columbia, Okanagan Campus, Kelowna, BC, Canada
| | - Dingzhen Liu
- Ministry of Education, Key Laboratory of Biodiversity Science and Ecological Engineering, Department of Ecology, College of Life Sciences, Beijing Normal University, Beijing 100875, China
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Chen X, Tian T, Pan H, Jin Y, Zhang X, Yang B, Zhang L. Establishing a protected area network in Xinlong with other effective area-based conservation measures. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024; 38:e14297. [PMID: 38752477 DOI: 10.1111/cobi.14297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 02/04/2024] [Accepted: 03/19/2024] [Indexed: 07/24/2024]
Abstract
Protected areas (PAs) are pivotal to biodiversity conservation, yet their efficacy is compromised by insufficient funding and management. So-called other effective area-based conservation measures (OECMs) present a paradigm shift and address PA limitations. Such measures can expand conservation areas, enhance connectivity, and improve the existing system. To assess the conservation status of biodiversity in Tibetan cultural areas in China, we investigated the spatial distribution of wildlife vulnerable to human disturbance (large- and medium-sized mammals and terrestrial birds) in Xinlong, a traditional Tibetan cultural area. In particular, we compared a PA (Xionglongxi Nature Reserve) and OECMs targeting species conservation. We also investigated the relationship of wildlife with human temporal and spatial activities. The OECMs complemented areas not covered by PA, especially in rich understory biodiversity regions. More species in OECMs tolerated human presence than species in the PA. Existing biodiversity reserves failed to cover areas of high conservation value in Tibet and offered limited protection capacity. Expanding PAs and identifying OECMs improved Xinlong's system by covering most biodiversity hotspots. Building on the tradition of wildlife conservation in Tibet, harnessing OECMs may be an effective means of augmenting biodiversity conservation capacity. We recommend further evaluation of OECMs effectiveness and coverage in Tibetan area as a way to enhance the current PA system.
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Affiliation(s)
- Xing Chen
- Key Laboratory for Biodiversity Science and Ecological Engineering, Ministry of Education, College of Life Science, Beijing Normal University, Beijing, China
| | - Tengteng Tian
- Key Laboratory for Biodiversity Science and Ecological Engineering, Ministry of Education, College of Life Science, Beijing Normal University, Beijing, China
| | - Han Pan
- Society of Entrepreneurs and Ecology (SEE) Foundation, Beijing, China
| | - Yuyi Jin
- Chengdu Aisiyi Ecology Conservation Center, Chengdu, China
| | - Xiaodian Zhang
- Chengdu Aisiyi Ecology Conservation Center, Chengdu, China
| | - Biao Yang
- Society of Entrepreneurs and Ecology (SEE) Foundation, Beijing, China
- College of Life Science, China West Normal University, Nanchong, China
| | - Li Zhang
- Key Laboratory for Biodiversity Science and Ecological Engineering, Ministry of Education, College of Life Science, Beijing Normal University, Beijing, China
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5
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Wang Q, Yang B, Zhu R, Wang X, Li S, Zhang L. Unveiling the Biodiversity and Conservation Significance of Medog: A Camera-Trapping Survey on Mammals in the Southeastern Tibetan Mountains. Animals (Basel) 2024; 14:2188. [PMID: 39123714 PMCID: PMC11311013 DOI: 10.3390/ani14152188] [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: 07/11/2024] [Revised: 07/23/2024] [Accepted: 07/25/2024] [Indexed: 08/12/2024] Open
Abstract
The Medog in southeastern Tibet is home to a diverse range of wild animals. However, research on these mammals' species directories, distribution, and conservation status remains insufficient, despite their crucial role in maintaining ecological balance. The study carried out a camera-trapping survey to assess mammal biodiversity and the significance of mammal protection in their natural habitats in Gedang, Medog. Future directions and application prospects of the study for wildlife conservation in the southeastern Tibetan mountains were also discussed. The survey, spanning from April 2023 to May 2024, with 19,754 camera trap days, revealed 25 mammalian species across five orders and 14 families. Among these, four classified as Endangered, five as Vulnerable, two as Near Threatened on the IUCN Red List, nine were categorized as Critically Endangered or Endangered on the Red List of China's Vertebrates, and seven were China's national first-class key protected wildlife. The order Carnivora exhibited the highest diversity, comprising 12 species. Furthermore, the study filled the knowledge gap regarding the underrepresentation of Gongshan muntjac Muntiacus gongshanensis in IUCN and provided new insights into the recorded coexistence of the Himalayan red panda Ailurus fulgens and Chinese red panda Ailurus styani along the Yarlung Zangbo River for the first time, and also documented new upper elevation limits for four large to medium-sized species. Regarding the relative abundance indices (RAI) captured by camera traps, the most prevalent species identified was the White-cheeked macaque Macaca leucogenys, followed by the Gongshan muntjac and Himalayan serow Capricornis thar. The monitoring also captured a number of domestic dogs and livestock, as well as human disturbances. These findings underscore the importance of conserving these mammals and emphasize the need for conservation efforts to protect their habitats and reduce human activities that threaten their survival, thereby maintaining the ecological balance of the region. Additionally, the research highlighted Gedang's significance to global conservation efforts for mammalian diversity, providing essential data for effective wildlife conservation strategies.
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Affiliation(s)
- Qianqian Wang
- Key Laboratory of Biodiversity and Ecological Engineering, Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing 100875, China; (Q.W.); (L.Z.)
| | - Biao Yang
- College of Life Sciences, China West Normal University, Nanchong 637001, China
- Society of Entrepreneurs and Ecology (SEE) Foundation, Beijing 100020, China
| | - Ruifeng Zhu
- Sichuan Zoological Society, Chengdu 610065, China; (R.Z.); (X.W.); (S.L.)
| | - Xin Wang
- Sichuan Zoological Society, Chengdu 610065, China; (R.Z.); (X.W.); (S.L.)
| | - Shilin Li
- Sichuan Zoological Society, Chengdu 610065, China; (R.Z.); (X.W.); (S.L.)
| | - Li Zhang
- Key Laboratory of Biodiversity and Ecological Engineering, Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing 100875, China; (Q.W.); (L.Z.)
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Chen C, Granados A, Brodie JF, Kays R, Davies TJ, Liu R, Fisher JT, Ahumada J, McShea W, Sheil D, Mohd-Azlan J, Agwanda B, Andrianarisoa MH, Appleton RD, Bitariho R, Espinosa S, Grigione MM, Helgen KM, Hubbard A, Hurtado CM, Jansen PA, Jiang X, Jones A, Kalies EL, Kiebou-Opepa C, Li X, Lima MGM, Meyer E, Miller AB, Murphy T, Piana R, Quan RC, Rota CT, Rovero F, Santos F, Schuttler S, Uduman A, van Bommel JK, Young H, Burton AC. Combining camera trap surveys and IUCN range maps to improve knowledge of species distributions. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024; 38:e14221. [PMID: 37937455 DOI: 10.1111/cobi.14221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 10/05/2023] [Accepted: 10/31/2023] [Indexed: 11/09/2023]
Abstract
Reliable maps of species distributions are fundamental for biodiversity research and conservation. The International Union for Conservation of Nature (IUCN) range maps are widely recognized as authoritative representations of species' geographic limits, yet they might not always align with actual occurrence data. In recent area of habitat (AOH) maps, areas that are not habitat have been removed from IUCN ranges to reduce commission errors, but their concordance with actual species occurrence also remains untested. We tested concordance between occurrences recorded in camera trap surveys and predicted occurrences from the IUCN and AOH maps for 510 medium- to large-bodied mammalian species in 80 camera trap sampling areas. Across all areas, cameras detected only 39% of species expected to occur based on IUCN ranges and AOH maps; 85% of the IUCN only mismatches occurred within 200 km of range edges. Only 4% of species occurrences were detected by cameras outside IUCN ranges. The probability of mismatches between cameras and the IUCN range was significantly higher for smaller-bodied mammals and habitat specialists in the Neotropics and Indomalaya and in areas with shorter canopy forests. Our findings suggest that range and AOH maps rarely underrepresent areas where species occur, but they may more often overrepresent ranges by including areas where a species may be absent, particularly at range edges. We suggest that combining range maps with data from ground-based biodiversity sensors, such as camera traps, provides a richer knowledge base for conservation mapping and planning.
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Affiliation(s)
- Cheng Chen
- Department of Forest Resources Management, University of British Columbia, Vancouver, British Columbia, Canada
- Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alys Granados
- Department of Forest Resources Management, University of British Columbia, Vancouver, British Columbia, Canada
- Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
- Felidae Conservation Fund, Mill Valley, California, USA
| | - Jedediah F Brodie
- Division of Biological Sciences and Wildlife Biology Program, University of Montana, Missoula, Montana, USA
| | - Roland Kays
- North Carolina Museum of Natural Sciences, Raleigh, North Carolina, USA
- Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, North Carolina, USA
| | - T Jonathan Davies
- Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Botany, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Runzhe Liu
- Department of Forest Resources Management, University of British Columbia, Vancouver, British Columbia, Canada
- Biology Department, Lund University, Lund, Sweden
| | - Jason T Fisher
- School of Environmental Studies, University of Victoria, Victoria, British Columbia, Canada
| | - Jorge Ahumada
- Moore Center for Science, Conservation International, Arlington, Virginia, USA
| | - William McShea
- Conservation Ecology Center, Smithsonian's National Zoo & Conservation Biology Institute, Front Royal, Virginia, USA
| | - Douglas Sheil
- Forest Ecology and Forest Management Group, Wageningen University & Research, Wageningen, The Netherlands
- Department of Ecology and Natural Resource Management, Norwegian University of Life Sciences, Akershus, Norway
- Center for International Forestry Research, Bogor, Indonesia
| | - Jayasilan Mohd-Azlan
- Institute of Biodiversity and Environmental Conservation, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia
| | | | | | - Robyn D Appleton
- Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada
- Spectacled Bear Conservation Society Peru, Lambayeque, Peru
| | - Robert Bitariho
- Institute of Tropical Forest Conservation, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Santiago Espinosa
- Facultad de Ciencias, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México
- Escuela de Ciencias Biológicas, Pontificia Universidad Católica del Ecuador, Quito, Ecuador
| | | | - Kristofer M Helgen
- Australian Museum Research Institute, Australian Museum, Sydney, New South Wales, Australia
| | - Andy Hubbard
- National Park Service, Sonoran Desert Network, Tucson, Arizona, USA
| | - Cindy M Hurtado
- Department of Forest Resources Management, University of British Columbia, Vancouver, British Columbia, Canada
- Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Patrick A Jansen
- Wildlife Ecology and Conservation Group, Wageningen University & Research, Wageningen, The Netherlands
- Smithsonian Tropical Research Institute, Panamá, República de Panamá
| | - Xuelong Jiang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Alex Jones
- Campus Natural Reserves, University of California, Santa Cruz, Santa Cruz, California, USA
| | | | | | - Xueyou Li
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | | | - Erik Meyer
- Sequoia & Kings Canyon National Parks, Three Rivers, California, USA
| | - Anna B Miller
- Department of Environment and Society, Institute of Outdoor Recreation and Tourism, Utah State University, Logan, Utah, USA
| | - Thomas Murphy
- Department of Anthropology, Edmonds College, Lynwood, Washington, USA
| | - Renzo Piana
- Spectacled Bear Conservation Society Peru, Lambayeque, Peru
| | - Rui-Chang Quan
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China
| | - Christopher T Rota
- Division of Forestry and Natural Resources, West Virginia University, Morgantown, West Virginia, USA
| | - Francesco Rovero
- Department of Biology, University of Florence, Trento, Italy
- MUSE - Museo delle Scienze, Trento, Italy
| | | | | | - Aisha Uduman
- Department of Forest Resources Management, University of British Columbia, Vancouver, British Columbia, Canada
- Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Joanna Klees van Bommel
- Department of Forest Resources Management, University of British Columbia, Vancouver, British Columbia, Canada
- Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Hilary Young
- Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, California, USA
| | - A Cole Burton
- Department of Forest Resources Management, University of British Columbia, Vancouver, British Columbia, Canada
- Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
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7
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Vélez J, McShea W, Pukazhenthi B, Stevenson P, Fieberg J. Implications of the scale of detection for inferring co-occurrence patterns from paired camera traps and acoustic recorders. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024; 38:e14218. [PMID: 37937478 DOI: 10.1111/cobi.14218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 08/29/2023] [Accepted: 10/26/2023] [Indexed: 11/09/2023]
Abstract
Multifunctional landscapes that support economic activities and conservation of biological diversity (e.g., cattle ranches with native forest) are becoming increasingly important because small remnants of native forest may comprise the only habitat left for some wildlife species. Understanding the co-occurrence between wildlife and disturbance factors, such as poaching activity and domesticated ungulates, is key to successful management of multifunctional landscapes. Tools to measure co-occurrence between wildlife and disturbance factors include camera traps and autonomous acoustic recording units. We paired 52 camera-trap stations with acoustic recorders to investigate the association between 2 measures of disturbance (poaching and cattle) and wild ungulates present in multifunctional landscapes of the Colombian Orinoquía. We used joint species distribution models to investigate species-habitat associations and species-disturbance correlations. One model was fitted using camera-trap data to detect wild ungulates and disturbance factors, and a second model was fitted after replacing camera-trap detections of disturbance factors with their corresponding acoustic detections. The direction, significance, and precision of the effect of covariates depended on the sampling method used for disturbance factors. Acoustic monitoring typically resulted in more precise estimates of the effects of covariates and of species-disturbance correlations. Association patterns between wildlife and disturbance factors were found only when disturbance was detected by acoustic recorders. Camera traps allowed us to detect nonvocalizing species, whereas audio recording devices increased detection of disturbance factors leading to more precise estimates of co-occurrence patterns. The collared peccary (Pecari tajacu), lowland tapir (Tapirus terrestris), and white-tailed deer (Odocoileus virginianus) co-occurred with disturbance factors and are conservation priorities due to the greater risk of poaching or disease transmission from cattle.
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Affiliation(s)
- Juliana Vélez
- Department of Fisheries, Wildlife and Conservation Biology, University of Minnesota, St. Paul, Minnesota, USA
- Smithsonian's National Zoo and Conservation Biology Institute, Front Royal, Virginia, USA
| | - William McShea
- Smithsonian's National Zoo and Conservation Biology Institute, Front Royal, Virginia, USA
| | - Budhan Pukazhenthi
- Smithsonian's National Zoo and Conservation Biology Institute, Front Royal, Virginia, USA
| | - Pablo Stevenson
- Departamento de Ciencias Biológicas, Universidad de Los Andes, Bogotá, Colombia
| | - John Fieberg
- Department of Fisheries, Wildlife and Conservation Biology, University of Minnesota, St. Paul, Minnesota, USA
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8
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Duan F, Zhu S, Wang Y, Song D, Shen X, Li S. Distribution of the Asiatic golden cat ( Catopuma temminckii) and variations in its coat morphology in China. Ecol Evol 2024; 14:e10900. [PMID: 38327691 PMCID: PMC10847886 DOI: 10.1002/ece3.10900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 11/28/2023] [Accepted: 11/29/2023] [Indexed: 02/09/2024] Open
Abstract
Of the 12 wild felid species found in China, Asiatic golden cat (Catopuma temminckii) is one of the least studied species. This medium-sized cat with a prominently polymorphic coat was once distributed across much of southern China, but is believed to have experienced severe decline and range contraction during the past decades, primarily due to anthropogenic pressures. A lack of knowledge of its current distribution, ecology, and natural history has greatly hindered the implementation of conservation and management actions for this species. In this study, for the first time, we compiled the state-wide occurrence records (N = 409), mainly from the camera-trapping surveys, of Asiatic golden cats from 2008 to 2019, and predicted its distribution across the country through species distribution modeling using random forest algorithm. The results showed that the predicted habitats were mainly located in southwest China and suggested a rather low probability of possible current distribution across its vast historic range in central, eastern, and southern China. We divided its current range into four geographic regions (i.e., Qinling Mountains, Hengduan Mountains, East Himalayas, and southern Yunnan region) and considered the cats in each region as a regional population within the country. From the 287 camera-trapping detections with photographs and/or videos collected across all populations, we identified six coat morphs and determined their occurrence percentages: common golden (47.4%), spotted (20.9%), red (13.6%), dark cinnamon (10.1%), melanistic (7.0%), and gray (1.0%). The complexity of coat morph composition within regional populations showed an increasing gradient from northeast to southwest. Among the four regional populations, the East Himalayas hosted the highest abundance and coat variation with all six morphs recorded. Our study results update the current distribution and coat morphology variations of this elusive cat in China and provide important knowledge to guide future research and conservation planning for this threatened species.
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Affiliation(s)
- Fei Duan
- National Natural History Museum of ChinaBeijingChina
- School of Life Sciences & Institute of EcologyPeking UniversityBeijingChina
| | - Shuyi Zhu
- School of Life Sciences & Institute of EcologyPeking UniversityBeijingChina
- Wildlife Conservation Monitoring Center, National Forestry and Grassland AdministrationBeijingChina
| | - Yuan Wang
- Research Institute of Natural Protected AreaChinese Academy of ForestryBeijingChina
- Tibet Autonomous Region Research Institute of Forestry Inventory and PlanningLhasaChina
| | - Dazhao Song
- Chinese Felid Conservation AllianceBeijingChina
| | - Xiaoli Shen
- State Key Laboratory of Vegetation and Environmental Change, Institute of BotanyChinese Academy of SciencesBeijingChina
| | - Sheng Li
- School of Life Sciences & Institute of EcologyPeking UniversityBeijingChina
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9
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Yue Y, Yang Z, Wei W, Yang B, Qi D, Gu X, Yang X, Lu S, Zhang W, Dai Q, Zhang Z. The effectiveness of using giant panda as a surrogate for protecting sympatric species. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 351:119803. [PMID: 38134503 DOI: 10.1016/j.jenvman.2023.119803] [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: 11/01/2022] [Revised: 11/13/2023] [Accepted: 12/03/2023] [Indexed: 12/24/2023]
Abstract
The use of umbrella species to promote biodiversity conservation is practiced worldwide. The giant panda (Ailuropoda melanoleuca) an iconic species for world wildlife conservation, that inhabits regions with significant biodiversity. Given that the functions at wildlife of different trophic levels and in different body size groups are different within the ecosystem, it is unknown whether those groups of wildlife co-occurring with giant pandas are each likewise protected. To examine the umbrella effect of giant pandas on sympatric species, we used an extensive dataset of wildlife from more than 78% of giant panda habitats. We analysed the changes in distribution for four wildlife categories (large carnivores, large herbivores, medium carnivores and medium herbivores) using a generalized linear mixed model, and the underlying driving factors using binomial logistic regression models. Changes in forests in giant panda habitats were evaluated using Fragstats. The results have shown that the counts of herbivores and medium carnivores increased significantly during the decade. However, those of large carnivores significantly declined. Forest cover and nature reserves showed significant and positive effects on wildlife in 2001 and 2011, while the human population had significant and negative impacts on the herbivores and carnivores. Our results have also suggested that there has been a slight alleviation in forest fragmentation in areas unaffected by earthquakes. We concluded that the umbrella strategy of using the giant panda as an umbrella species achieved partial success by promoting the recovery of herbivores and medium carnivores. Meanwhile, this has indicated that the strategy was not sufficient for large carnivores, and therefore not enough for local ecosystems, given the critical role of large carnivores. We have suggested integrating habitat patches, controlling human disturbance, and preparing for potential human-wildlife conflict management in the Giant Panda National Park to restore large carnivore populations and maintain ecosystem functioning.
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Affiliation(s)
- Ying Yue
- Chengdu Institute of Biology, Chinese Academy of Sciences, 610041, Chengdu, China; University of Chinese Academy of Sciences, 100101, Beijing, China
| | - Zhisong Yang
- Sichuan Academy of Giant Panda, Chengdu, 610081, China
| | - Wei Wei
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong, 637002, China
| | - Biao Yang
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong, 637002, China
| | - Dunwu Qi
- Chengdu Research Base of Giant Panda Breeding, Chengdu, 610081, China
| | - Xiaodong Gu
- Sichuan Provincial Administration of Giant Panda National Park, 610081, Chengdu, China
| | - Xuyu Yang
- Sichuan Provincial Nature Protected Area Administration Station, 610081, Chengdu, China
| | - Song Lu
- College of Life Science, Sichuan University, 610064, Chengdu, China
| | - Wen Zhang
- Sichuan Forestry and Grassland Survey and Planning Institute, 610081, Chengdu, China
| | - Qiang Dai
- Chengdu Institute of Biology, Chinese Academy of Sciences, 610041, Chengdu, China; University of Chinese Academy of Sciences, 100101, Beijing, China.
| | - Zejun Zhang
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong, 637002, China; College of Chemistry and Life Sciences, Chengdu Normal University, 611130, Chengdu, China.
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10
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Hu B, Han S, He H. Effect of epidemic diseases on wild animal conservation. Integr Zool 2023; 18:963-980. [PMID: 37202360 DOI: 10.1111/1749-4877.12720] [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: 05/20/2023]
Abstract
Under the background of global species extinction, the impact of epidemic diseases on wild animal protection is increasingly prominent. Here, we review and synthesize the literature on this topic, and discuss the relationship between diseases and biodiversity. Diseases usually reduce species diversity by decreasing or extinction of species populations, but also accelerate species evolution and promote species diversity. At the same time, species diversity can regulate disease outbreaks through dilution or amplification effects. The synergistic effect of human activities and global change is emphasized, which further aggravates the complex relationship between biodiversity and diseases. Finally, we emphasize the importance of active surveillance of wild animal diseases, which can protect wild animals from potential diseases, maintain population size and genetic variation, and reduce the damage of diseases to the balance of the whole ecosystem and human health. Therefore, we suggest that a background survey of wild animal populations and their pathogens should be carried out to assess the impact of potential outbreaks on the population or species level. The mechanism of dilution and amplification effect between species diversity and diseases of wild animals should be further studied to provide a theoretical basis and technical support for human intervention measures to change biodiversity. Most importantly, we should closely combine the protection of wild animals with the establishment of an active surveillance, prevention, and control system for wild animal epidemics, in an effort to achieve a win-win situation between wild animal protection and disease control.
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Affiliation(s)
- Bin Hu
- National Research Center for Wildlife-Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Shuyi Han
- National Research Center for Wildlife-Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Hongxuan He
- National Research Center for Wildlife-Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
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11
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Wang Y, Wei W, Yuan F, Cao D, Zhang Z. The Science Underlying Giant Panda Conservation Translocations. Animals (Basel) 2023; 13:3332. [PMID: 37958087 PMCID: PMC10649174 DOI: 10.3390/ani13213332] [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: 09/26/2023] [Revised: 10/18/2023] [Accepted: 10/24/2023] [Indexed: 11/15/2023] Open
Abstract
The giant panda (Ailuropoda melanoleuca) is the flagship species of animal conservation worldwide, and the number of captive pandas reached 673 in 2021. According to the Fourth National Survey Report on the Giant Panda, there are 1864 wild pandas, segregated into 33 local populations, and 25 of these populations are too small to be self-sustaining. In addition to the conservation and restoration of panda habitats, conservation translocations, an approach that has been shown to be effective in slowing or reversing biodiversity loss, are highly desirable for panda conservation. The captive-bred panda population has grown rapidly, laying the foundation for releasing captive-bred pandas into the wild. This paper reviews the scientific advances in conservation translocations of pandas. Studies have shown that before translocation conservation programs are implemented, we should determine what factors are causing the depletion of the original population at the release site. The selection of suitable release sites and individuals will help to improve the survival rate of released individuals in the wild. Pre-release training and post-release monitoring are essential to ensure successful releases. We also see the great potential for increasing applications of Adaptive Management to improve the success of giant panda conservation translocation programs. This review provides theoretical guidance for improvement of the success rate in conservation translocations for captive pandas, and uses the panda as a model species to provide a global reference for the conservation translocations of rare and endangered species.
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Affiliation(s)
- Yue Wang
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637001, China; (Y.W.); (W.W.); (D.C.)
- Liziping Giant Panda’s Ecology and Conservation Observation and Research Station of Sichuan Province, China West Normal University, Nanchong 637001, China
| | - Wei Wei
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637001, China; (Y.W.); (W.W.); (D.C.)
- Liziping Giant Panda’s Ecology and Conservation Observation and Research Station of Sichuan Province, China West Normal University, Nanchong 637001, China
| | - Feiyun Yuan
- Sichuan Lushi Expressway Co., Ltd., Chengdu 610041, China;
| | - Dandan Cao
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637001, China; (Y.W.); (W.W.); (D.C.)
- Liziping Giant Panda’s Ecology and Conservation Observation and Research Station of Sichuan Province, China West Normal University, Nanchong 637001, China
| | - Zejun Zhang
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637001, China; (Y.W.); (W.W.); (D.C.)
- Liziping Giant Panda’s Ecology and Conservation Observation and Research Station of Sichuan Province, China West Normal University, Nanchong 637001, China
- Chengdu Normal University, Chengdu 611130, China
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12
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Shen G, Lan T, Deng S, Wang Y, Xu W, Xie Z. Giant panda-focused conservation has limited value in maintaining biodiversity and carbon sequestration. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 880:163186. [PMID: 37028677 DOI: 10.1016/j.scitotenv.2023.163186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 03/24/2023] [Accepted: 03/27/2023] [Indexed: 05/27/2023]
Abstract
Biodiversity and climate are interconnected through carbon. Drivers of climate change and biodiversity loss interact in complex ways to produce outcomes that may be synergistic, and biodiversity loss and climate change reinforce each other. Prioritizing the conservation of flagship and umbrella species is often used as a surrogate strategy for broader conservation goals, but it is unclear whether these efforts truly benefit biodiversity and carbon stocks. Conservation of the giant panda offers a paradigm to test these assumptions. Here, using the benchmark estimates of ecosystem carbon stocks and species richness, we investigated the relationships among the giant panda, biodiversity, and carbon stocks and assessed the implications of giant panda conservation for biodiversity and carbon-focused conservation efforts. We found that giant panda density and species richness were significantly positively correlated, while no correlation was found between giant panda density and soil carbon or total carbon density. The established nature reserves protect 26 % of the giant panda conservation region, but these areas contain <21 % of the ranges of other species and <21 % of total carbon stocks. More seriously, giant panda habitats are still facing high risks of habitat fragmentation. Habitat fragmentation is negatively correlated with giant panda density, species richness, and total carbon density. The ongoing giant panda habitat fragmentation is likely to cause an additional 12.24 Tg C of carbon emissions over 30 years. Thus, giant panda-focused conservation efforts have effectively prevented giant panda extinction but have been less effective in maintaining biodiversity and high‑carbon ecosystems. It is urgent for China to contribute to the development of an effective and representative national park system that integrates climate change issues into national biodiversity strategies and vice versa in dealing with the dual environmental challenges of biodiversity loss and climate change under a post-2020 framework.
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Affiliation(s)
- Guozhen Shen
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Tianyuan Lan
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Shuyu Deng
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Yue Wang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Wenting Xu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Zongqiang Xie
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China.
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13
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Li J, Shi X, He X, Li D, Hu Q, Zhang Y, Ran J. Free-ranging livestock affected the spatiotemporal behavior of the endangered snow leopard ( Panthera uncia). Ecol Evol 2023; 13:e9992. [PMID: 37091566 PMCID: PMC10115902 DOI: 10.1002/ece3.9992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 03/22/2023] [Accepted: 03/27/2023] [Indexed: 04/25/2023] Open
Abstract
Long recognized as a threat to wildlife, particularly for large carnivores, livestock grazing in protected areas can potentially undermine conservation objectives. The interspecific interactions among livestock, snow leopards (Panthera uncia), and their wild prey in fragile Asian highland ecosystems have been a subject of debate. We strategically deployed 164 camera traps in the Wolong National Nature Reserve to systematically investigate the activities of snow leopards, their primary wild ungulate prey species, and free-ranging livestock. We found that snow leopard habitat use was influenced by both wild prey and livestock. Blue sheep served as the main wild prey that spatially attracted snow leopards and coexisted with yaks while free-ranging yaks significantly restricted snow leopard habitat use both temporally and spatially. This study challenges the conventional understanding that livestock indirectly impacts large carnivores by competing with and displacing wild prey. Our findings highlight that free-ranging yaks within the alpine canyon terrain could directly limit snow leopard habitat use, suggesting a potential risk of grazing in reducing apex predator distribution and jeopardizing their populations. Consequently, managing their coexistence in shared habitats requires a more nuanced approach. Furthermore, our research underscores the importance of further research efforts aimed at enhancing our comprehension of the complex interplay within animal communities and ecosystems. This knowledge will contribute to the development of informed, evidence-based conservation strategies and policies.
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Affiliation(s)
- Jiaxin Li
- Key Laboratory of Bioresources and Eco‐Environment of Ministry of Education, College of Life SciencesSichuan UniversityChengduSichuanChina
| | - Xiaogang Shi
- Wolong National Nature ReserveAdministration Bureau of Wolong National Nature ReserveWolong Town, Wenchuan CountyAbaChina
| | - Xingcheng He
- Key Laboratory of Bioresources and Eco‐Environment of Ministry of Education, College of Life SciencesSichuan UniversityChengduSichuanChina
| | - Dongrui Li
- Key Laboratory of Bioresources and Eco‐Environment of Ministry of Education, College of Life SciencesSichuan UniversityChengduSichuanChina
| | - Qiang Hu
- Wolong National Nature ReserveAdministration Bureau of Wolong National Nature ReserveWolong Town, Wenchuan CountyAbaChina
| | - Yanni Zhang
- Key Laboratory of Bioresources and Eco‐Environment of Ministry of Education, College of Life SciencesSichuan UniversityChengduSichuanChina
| | - Jianghong Ran
- Key Laboratory of Bioresources and Eco‐Environment of Ministry of Education, College of Life SciencesSichuan UniversityChengduSichuanChina
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14
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Yang N, Price M, Xu Y, Zhu Y, Zhong X, Cheng Y, Wang B. Assessing Global Efforts in the Selection of Vertebrates as Umbrella Species for Conservation. BIOLOGY 2023; 12:509. [PMID: 37106710 PMCID: PMC10135637 DOI: 10.3390/biology12040509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/15/2023] [Accepted: 03/24/2023] [Indexed: 03/30/2023]
Abstract
The umbrella-species strategy has been proposed as an attainable tool to achieve multi-species and community conservation with limited investment. There have been many umbrella-related studies since the concept's inception; thus, a summary of global study efforts and recommended umbrella species is important for understanding advances in the field and facilitating conservation applications. Here, we collated 213 recommended umbrella species of terrestrial vertebrates from 242 scientific articles published during 1984-2021 and analyzed their geographic patterns, biological features, and conservation statuses to identify global trends in the selection of umbrella species. We found a considerable geographic bias: most studies and, consequently, recommended umbrella species are from the Northern Hemisphere. There is also a strong taxonomic bias, with grouses (order Galliformes) and large carnivores being the most popular umbrella species and amphibians and reptiles being largely overlooked. In addition, wide-ranging and non-threatened species were frequently recommended as umbrella species. Given the observed biases and trends, we caution that appropriate species need to be chosen for each location, and it is important to confirm that popular, wide-ranging species are effective umbrella species. Moreover, amphibians and reptiles should be investigated for their potential as umbrella species. The umbrella-species strategy has many strengths and, if applied appropriately, may be one of the best options in today's conservation research and funding landscape.
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Affiliation(s)
- Nan Yang
- Institute of Qinghai-Tibetan Plateau, Southwest Minzu University, Chengdu 610225, China;
| | - Megan Price
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610065, China;
| | - Yu Xu
- Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Karst Mountainous Areas of Southwestern China, School of Life Sciences, Guizhou Normal University, Guiyang 550001, China; (Y.X.); (Y.Z.)
| | - Yun Zhu
- Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Karst Mountainous Areas of Southwestern China, School of Life Sciences, Guizhou Normal University, Guiyang 550001, China; (Y.X.); (Y.Z.)
| | - Xue Zhong
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637009, China;
| | - Yuehong Cheng
- Wolong National Nature Reserve Administration Bureau, Wenchuan 623006, China;
| | - Bin Wang
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637009, China;
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15
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Yanwen F, Guojing Z, Wenqian D, Yue W, Jiawei L, Mengyu T, Yan L, Haoran L, Bing X, Xiao J, Enyu F, Lulu Z, Jian C, Lei Y, Chenghao W, Yongfeng C, Guoqiang C, Yong Z, Kezi L, Haitao Y, Xuemei H, Jianping G, Jun Z, Limin F. Surprising leopard restoration in fragmented ecosystems reveals connections as the secret to conservation success. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:159790. [PMID: 36309282 DOI: 10.1016/j.scitotenv.2022.159790] [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: 06/01/2022] [Revised: 10/24/2022] [Accepted: 10/24/2022] [Indexed: 06/16/2023]
Abstract
The Chinese Loess Plateau has been the cradle of Chinese civilization and the main human settlement in China for thousands of years, where anthropogenic activities are believed to have deeply eroded natural landscapes. After decades of minimal leopard sighting in forests of northern China, due to serious human interference, we recently discovered that the leopard population is recovering. This finding provides hope for successful biodiversity conservation in human-dominated ecosystems. To understand the mechanism of leopard return into such a highly fragmented landscape, we applied the concept of ecological networks (ENs) to identify key factors promoting leopard restoration and quantify the ecological links among habitats. We first determined the existence of a healthy leopard population in the study area based on the size of its home range and presence of breeding individuals. We then innovatively used the relationship between species richness and top predators to generate ENs, and found that the connectivity of ENs had a significant positive interaction with leopard survival. Our study validates the effectiveness of establishing ecologically connected habitats for leopard protection, and highlights the importance of applying ENs for conservation planning in highly fragmented ecosystems. This study provides a successful case for the protection of top predators in human-dominated landscapes.
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Affiliation(s)
- Fu Yanwen
- Ministry of Education Key Laboratory for Biodiversity Science and Engineering, Northeast Tiger and Leopard Biodiversity National Observation and Research Station, National Forestry and Grassland Administration Amur Tiger and Amur Leopard Monitoring and Research Center, National Forestry and Grassland Administration Key Laboratory for Conservation Ecology in Northeast Tiger and Leopard National Park, College of Life Sciences, Beijing Normal University, Beijing, China.
| | - Zhao Guojing
- Ministry of Education Key Laboratory for Biodiversity Science and Engineering, Northeast Tiger and Leopard Biodiversity National Observation and Research Station, National Forestry and Grassland Administration Amur Tiger and Amur Leopard Monitoring and Research Center, National Forestry and Grassland Administration Key Laboratory for Conservation Ecology in Northeast Tiger and Leopard National Park, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Dai Wenqian
- Ministry of Education Key Laboratory for Biodiversity Science and Engineering, Northeast Tiger and Leopard Biodiversity National Observation and Research Station, National Forestry and Grassland Administration Amur Tiger and Amur Leopard Monitoring and Research Center, National Forestry and Grassland Administration Key Laboratory for Conservation Ecology in Northeast Tiger and Leopard National Park, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Wang Yue
- Ministry of Education Key Laboratory for Biodiversity Science and Engineering, Northeast Tiger and Leopard Biodiversity National Observation and Research Station, National Forestry and Grassland Administration Amur Tiger and Amur Leopard Monitoring and Research Center, National Forestry and Grassland Administration Key Laboratory for Conservation Ecology in Northeast Tiger and Leopard National Park, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Li Jiawei
- Ministry of Education Key Laboratory for Biodiversity Science and Engineering, Northeast Tiger and Leopard Biodiversity National Observation and Research Station, National Forestry and Grassland Administration Amur Tiger and Amur Leopard Monitoring and Research Center, National Forestry and Grassland Administration Key Laboratory for Conservation Ecology in Northeast Tiger and Leopard National Park, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Tan Mengyu
- Ministry of Education Key Laboratory for Biodiversity Science and Engineering, Northeast Tiger and Leopard Biodiversity National Observation and Research Station, National Forestry and Grassland Administration Amur Tiger and Amur Leopard Monitoring and Research Center, National Forestry and Grassland Administration Key Laboratory for Conservation Ecology in Northeast Tiger and Leopard National Park, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Li Yan
- Ministry of Education Key Laboratory for Biodiversity Science and Engineering, Northeast Tiger and Leopard Biodiversity National Observation and Research Station, National Forestry and Grassland Administration Amur Tiger and Amur Leopard Monitoring and Research Center, National Forestry and Grassland Administration Key Laboratory for Conservation Ecology in Northeast Tiger and Leopard National Park, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Liu Haoran
- Ministry of Education Key Laboratory for Biodiversity Science and Engineering, Northeast Tiger and Leopard Biodiversity National Observation and Research Station, National Forestry and Grassland Administration Amur Tiger and Amur Leopard Monitoring and Research Center, National Forestry and Grassland Administration Key Laboratory for Conservation Ecology in Northeast Tiger and Leopard National Park, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Xie Bing
- Ministry of Education Key Laboratory for Biodiversity Science and Engineering, Northeast Tiger and Leopard Biodiversity National Observation and Research Station, National Forestry and Grassland Administration Amur Tiger and Amur Leopard Monitoring and Research Center, National Forestry and Grassland Administration Key Laboratory for Conservation Ecology in Northeast Tiger and Leopard National Park, College of Life Sciences, Beijing Normal University, Beijing, China; Behavioural Ecology Group, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Denmark
| | - Jin Xiao
- Shanxi Biodiversity Conservation Center, Taiyuan, China
| | - Fan Enyu
- Wutaishan State-owned Forest Administration Bureau, Shanxi, China
| | - Zhao Lulu
- Shanxi Lincao Biodiversity Science and Technology Consulting Co., Ltd., Taiyuan, China
| | - Cao Jian
- Yan'an Wildlife Protection and Management Station, Shaanxi, China
| | - Yue Lei
- Yan'an Wildlife Protection and Management Station, Shaanxi, China
| | - Wu Chenghao
- Administration of Ziwuling National Nature Reserve, Shaanxi, China
| | - Chen Yongfeng
- Administration of Ziwuling National Nature Reserve, Shaanxi, China
| | - Chen Guoqiang
- Administration of Ziwuling National Nature Reserve, Shaanxi, China
| | - Zhang Yong
- Administration of Ziwuling National Nature Reserve, Shaanxi, China
| | - Luo Kezi
- Administration of Ziwuling National Nature Reserve, Shaanxi, China
| | - Yang Haitao
- Ministry of Education Key Laboratory for Biodiversity Science and Engineering, Northeast Tiger and Leopard Biodiversity National Observation and Research Station, National Forestry and Grassland Administration Amur Tiger and Amur Leopard Monitoring and Research Center, National Forestry and Grassland Administration Key Laboratory for Conservation Ecology in Northeast Tiger and Leopard National Park, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Han Xuemei
- Han EcoAnalytics, Fairfax, Virginia, USA
| | - Ge Jianping
- Ministry of Education Key Laboratory for Biodiversity Science and Engineering, Northeast Tiger and Leopard Biodiversity National Observation and Research Station, National Forestry and Grassland Administration Amur Tiger and Amur Leopard Monitoring and Research Center, National Forestry and Grassland Administration Key Laboratory for Conservation Ecology in Northeast Tiger and Leopard National Park, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Zhu Jun
- Shanxi Biodiversity Conservation Center, Taiyuan, China
| | - Feng Limin
- Ministry of Education Key Laboratory for Biodiversity Science and Engineering, Northeast Tiger and Leopard Biodiversity National Observation and Research Station, National Forestry and Grassland Administration Amur Tiger and Amur Leopard Monitoring and Research Center, National Forestry and Grassland Administration Key Laboratory for Conservation Ecology in Northeast Tiger and Leopard National Park, College of Life Sciences, Beijing Normal University, Beijing, China.
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16
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Liu J, Yu J, Yu X, Bi W, Yang H, Xue F, Zhang G, Zhang J, Yi D, Ma R, Zhou Y, Lan G, Gu J, Wu W, Li Z, Qi G. Complete Mitogenomes of Ticks Ixodes acutitarsus and Ixodes ovatus Parasitizing Giant Panda: Deep Insights into the Comparative Mitogenomic and Phylogenetic Relationship of Ixodidae Species. Genes (Basel) 2022; 13:2049. [PMID: 36360286 PMCID: PMC9691169 DOI: 10.3390/genes13112049] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 10/24/2022] [Accepted: 11/03/2022] [Indexed: 04/11/2024] Open
Abstract
Ticks rank second in the world as vectors of disease. Tick infestation is one of the factors threatening the health and survival of giant pandas. Here, we describe the mitogenomes of Ixodes acutitarsus and Ixodes ovatus parasitizing giant pandas, and perform comparative and phylogenetic genomic analyses on the newly sequenced and other available mitogenomes of hard ticks. All six newly determined mitogenomes contain a typical gene component and share an ancient Arthropoda gene arrangement pattern. Our study suggests that I. ovatus is a species complex with high genetic divergence, indicating that different clades of I. ovatus represent distinct species. Comparative mitogenomic analyses show that the average A + T content of Ixodidae mitogenomes is 78.08%, their GC-skews are strongly negative, while AT-skews fluctuate around 0. A large number of microsatellites are detected in Ixodidae mitogenomes, and the main microsatellite motifs are mononucleotide A and trinucleotide AAT. We summarize five gene arrangement types, and identify the trnY-COX1-trnS1-COX2-trnK-ATP8-ATP6-COX3-trnG fragment is the most conserved region, whereas the region near the control region is the rearrangement hotspot in Ixodidae mitogenomes. The phylogenetic trees based on 15 genes provide a very convincing relationship (Ixodes + (Robertsicus + ((Bothriocroton + Haemaphysalis) + (Amblyomma + (Dermacentor + (Rhipicentor + (Hyalomma + Rhipicephalus))))))) with very strong supports. Remarkably, Archaeocroton sphenodonti is embedded in the Haemaphysalis clade with strong supports, resulting in paraphyly of the Haemaphysalis genus, so in-depth morphological and molecular studies are essential to determine the taxonomic status of A. sphenodonti and its closely related species. Our results provide new insights into the molecular phylogeny and evolution of hard ticks, as well as basic data for population genetics assessment and efficient surveillance and control for the giant panda-infesting ticks.
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Affiliation(s)
- Jiabin Liu
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China
| | - Jiaojiao Yu
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China
| | - Xiang Yu
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China
| | - Wenlei Bi
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China
| | - Hong Yang
- Management Center of Daxiangling Nature Reserve in Yingjing County, Ya’an 625200, China
| | - Fei Xue
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China
| | - Gexiang Zhang
- College of Computer Science and Cyber Security, Chengdu University of Technology, Chengdu 610059, China
| | - Jindong Zhang
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637009, China
| | - Dejiao Yi
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China
| | - Rui Ma
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China
| | - Yanshan Zhou
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China
| | - Guanwei Lan
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637009, China
| | - Jiang Gu
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China
| | - Wei Wu
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China
| | - Zusheng Li
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China
| | - Guilan Qi
- Chengdu Academy of Agriculture and Forestry Sciences, Chengdu 611130, China
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17
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Xu Y, Yang B, Dai Q, Pan H, Zhong X, Ran J, Yang X, Gu X, Yang Z, Qi D, Hou R, Zhang Z. Landscape-scale giant panda conservation based on metapopulations within China's national park system. SCIENCE ADVANCES 2022; 8:eabl8637. [PMID: 35905183 PMCID: PMC9337760 DOI: 10.1126/sciadv.abl8637] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 06/16/2022] [Indexed: 06/13/2023]
Abstract
Historically, giant panda conservation in China has been compromised by disparate management of protected areas. It is thus crucial to address how giant panda populations can be managed cohesively on a landscape scale, an opportunity offered by China's newly established Giant Panda National Park. Here, we evaluated giant panda populations in a metapopulation context, based on range-wide data from the Fourth National Giant Panda Survey. We delineated metapopulations by geographic range, relative abundance, and relative density and assessed the extent of human disturbance each metapopulation faced. We found density-dependent and disturbance-influenced effects on habitat selection across metapopulations. We determined the main effects faced by each metapopulation regarding area sensitivity, population size, intraspecific competition, and disturbance. To enhance the landscape-scale conservation of giant pandas and various other wildlife across China's national park system, we propose that metapopulation management incorporates population status along with density-dependent and disturbance-related effects on habitat selection.
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Affiliation(s)
- Yu Xu
- School of Life Sciences, Guizhou Normal University, Guiyang 550001, China
| | - Biao Yang
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637002, China
- Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610064, China
| | - Qiang Dai
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China
| | - Han Pan
- Society of Entrepreneurs and Ecology (SEE) Foundation, Beijing 100020, China
| | - Xue Zhong
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637002, China
| | - Jianghong Ran
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610064, China
| | - Xuyu Yang
- Sichuan Station of Wildlife Survey and Management, Chengdu 610081, China
| | - Xiaodong Gu
- Sichuan Station of Wildlife Survey and Management, Chengdu 610081, China
| | - Zhisong Yang
- Sichuan Academy of Giant Panda, Chengdu 610081, China
| | - Dunwu Qi
- Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China
| | - Rong Hou
- Chengdu Research Base of Giant Panda Breeding, Chengdu 610081, China
| | - Zejun Zhang
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637002, China
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Temporal and Spatial Activity Patterns of Sympatric Wild Ungulates in Qinling Mountains, China. Animals (Basel) 2022; 12:ani12131666. [PMID: 35804566 PMCID: PMC9264793 DOI: 10.3390/ani12131666] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 06/14/2022] [Accepted: 06/24/2022] [Indexed: 11/21/2022] Open
Abstract
Simple Summary Information on species’ niche differentiation will contribute to a greater understanding of the mechanisms of coexistence benefitting the conservation and management of ecological communities. The widespread reduction in apex predators and more restricted hunting management has con-tributed to an increase in the abundance of wild ungulates in the Qinling Mountains, presumably resulting in an intensifying interspecific competition pressure. However, the activity patterns of the species in this region are completely unknown due to difficulty in accessing the locations where they occur. Thus, we used camera trapping to systematically investigate spatial and temporal activity patterns of sympatric ungulates in the Qinling Mountains, where top predators are virtually absent. This intensive camera-trap survey elucidated much more detailed studies of spatial and temporal activity patterns in multiple sympatric wild ungulates under natural conditions. Further, our results provided detailed information of the spatial and temporal ecology of ungulate communities in forest ecosystems, which would be a guide to establishing conservation priorities as well as efficient management programs. Abstract Dramatic increases in populations of wild ungulates have brought a new ecological issue in the Qinling mountains. Information on species’ niche differentiation will contribute to a greater understanding of the mechanisms of coexistence, so as to ultimately benefit the conservation and management of ecological communities. In this study, camera trapping was used to investigate spatial and temporal activity patterns of sympatric wild ungulates in the Qinling Mountains of China, where top predators were virtually absent. We obtained 15,584 independent detections of seven wild ungulate species during 93,606 camera-trap days from April 2014 to October 2017. Results showed that (i) the capture rate differed significantly across species, with the capture rate of reeve muntjac being significantly higher than that of other species; (ii) the wild boar had a higher occupancy rates (ψ = 0.888) than other six ungulates, and distance to settlements had a negative relationship with wild boar (β = −0.24 ± 0.17); (iii) the forest musk deer and mainland serow had low spatial overlaps with other five wild ungulates, while spatial overlap indices of any two given pairs of wild ungulates were relatively high; (iv) all wild ungulates species (expect wild boar) were mainly active during crepuscular and diurnal periods, and showed bimodal activity peaks at around 05:00–07:00 and 17:00–19:00; and finally, (v) all wild ungulates showed moderate to high temporal overlaps. The results provided detailed information of the spatial and temporal ecology of wild ungulate communities in forest ecosystems of China, which also would be a guide to establish conservation priorities as well as efficient management programs.
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Proctor MF, Garshelis DL, Thatte P, Steinmetz R, Crudge B, McLellan BN, McShea WJ, Ngoprasert D, Nawaz MA, Te Wong S, Sharma S, Fuller AK, Dharaiya N, Pigeon KE, Fredriksson G, Wang D, Li S, Hwang MH. Review of field methods for monitoring Asian bears. Glob Ecol Conserv 2022. [DOI: 10.1016/j.gecco.2022.e02080] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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20
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Zhuang H, Zhang C, Jin X, Ge A, Chen M, Ye J, Qiao H, Xiong P, Zhang X, Chen J, Luan X, Wang W. A flagship species-based approach to efficient, cost-effective biodiversity conservation in the Qinling Mountains, China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 305:114388. [PMID: 34972047 DOI: 10.1016/j.jenvman.2021.114388] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 12/12/2021] [Accepted: 12/22/2021] [Indexed: 06/14/2023]
Abstract
Prioritizing threatened species protection has been proposed as an efficient response to the global biodiversity crisis. We used in-situ conservation data to predict the potential habitat area of four flagship species: the giant panda (Ailuropoda melanoleuca), golden monkey (Rhinopithecus roxella quinlingensis), takin (Budorcas taxicolor bedfordi), and crested ibis (Nipponia nippon). We then designed systematic conservation planning schemes for various scenarios given species habitat preferences and anthropogenic activities and conducted a cost-effectiveness assessment. Broadly, the geographical distributions of suitable habitats for giant pandas, golden monkeys, and takins exhibited high spatial congruence (correlation coefficients of 0.59-0.90), and areas of high congruence were concentrated in the northern portion of the Qinling Mountains at high elevation (>1500 m). By contrast, the crested ibis was negatively correlated in space with its sympatric species (-0.47 to -0.29). Crested ibis habitats were clustered in the southern portion of the region at low elevation (<1500 m). A hypothetical conservation priority area (CPA) based on the giant panda, golden monkey, and takin included 39.64% of the Qinling Mountains and 100%, 99.99%, 99.59%, and 7.84% of the suitable habitats for giant pandas, golden monkeys, takins, and crested ibises, respectively. The same area included 99.07%, 70.87%, and 39.96% of the highly important areas for the ecosystem services of biodiversity conservation, water supply, and soil retention, respectively, and only 4.62%, 16.83%, and 13.4% of the area were associated with high-density residential area, impervious surfaces, and cropland, respectively. Therefore, we conclude that a CPA approach based on the specialist species could result in effective, low-cost biodiversity conservation in the Qinling Mountains. However, we note that existing protected areas account for only 26.52% of the CPA. We recommend that the main area of the proposed Qinling National Park should be based on the CPA developed here.
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Affiliation(s)
- Hongfei Zhuang
- Academy of Forestry Inventory and Planning, National Forestry and Grassland Administration, Beijing, 100714, China; School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, China; First Institute of Oceanography, Ministry of Natural Resources, Qingdao, 266061, China
| | - Chao Zhang
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, China
| | - Xuelin Jin
- Shaanxi Institute of Zoology, Xi'an, 710032, China
| | - Anxin Ge
- Shaanxi Institute of Forestry Inventory and Planning, Xi'an, 710082, China
| | - Minhao Chen
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, China
| | - Jing Ye
- Academy of Forestry Inventory and Planning, National Forestry and Grassland Administration, Beijing, 100714, China
| | - Hailiang Qiao
- Shaanxi Institute of Forestry Inventory and Planning, Xi'an, 710082, China
| | - Ping Xiong
- Shaanxi Institute of Forestry Inventory and Planning, Xi'an, 710082, China
| | - Xiaofeng Zhang
- Shaanxi Institute of Forestry Inventory and Planning, Xi'an, 710082, China
| | - Junzhi Chen
- Academy of Forestry Inventory and Planning, National Forestry and Grassland Administration, Beijing, 100714, China.
| | - Xiaofeng Luan
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, China.
| | - Wei Wang
- Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
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21
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Paudel RP, Kadariya R, Lamichhane BR, Subedi N, Sashika M, Shimozuru M, Tsubota T. Habitat occupancy of sloth bear Melursus ursinus in Chitwan National Park, Nepal. Ecol Evol 2022; 12:e8699. [PMID: 35342572 PMCID: PMC8928908 DOI: 10.1002/ece3.8699] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 02/14/2022] [Accepted: 02/16/2022] [Indexed: 11/08/2022] Open
Abstract
Mammals have experienced a massive decline in their populations and geographic ranges worldwide. The sloth bear, Melursus ursinus (Shaw, 1791), is one of many species facing conservation threats. Despite being endangered in Nepal, decades of inattention to the situation have hindered their conservation and management. We assessed the distribution and patterns of habitat use by sloth bears in Chitwan National Park (CNP), Nepal. We conducted sign surveys from March to June, 2020, in 4 × 4 km grids (n = 45). We collected detection/non-detection data along a 4-km trail that was divided into 20 continuous segments of 200 m each. We obtained environmental, ecological, and anthropogenic covariates to understand determinants of sloth bear habitat occupancy. The data were analyzed using the single-species single-season occupancy method, with a spatially correlated detection. Using repeated observations, these models accounted for the imperfect detectability of the species to provide robust estimates of habitat occupancy. The model-averaged occupancy estimate for the sloth bear was 69% and the detection probability was 0.25. The probability of habitat occupancy by sloth bears increased with the presence of termites and fruits and in rugged, dry, open, undisturbed habitats. Our results indicate that the sloth bear is elusive, functionally unique, and widespread in CNP. Future conservation interventions and action plans aimed at sloth bear management must adequately consider their habitat requirements.
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Affiliation(s)
- Rajan Prasad Paudel
- Laboratory of Wildlife Biology and MedicineDepartment of Environmental Veterinary ScienceGraduate School of Veterinary MedicineHokkaido UniversitySapporoJapan
| | | | | | | | - Mariko Sashika
- Laboratory of Wildlife Biology and MedicineDepartment of Environmental Veterinary ScienceGraduate School of Veterinary MedicineHokkaido UniversitySapporoJapan
| | - Michito Shimozuru
- Laboratory of Wildlife Biology and MedicineDepartment of Environmental Veterinary ScienceGraduate School of Veterinary MedicineHokkaido UniversitySapporoJapan
| | - Toshio Tsubota
- Laboratory of Wildlife Biology and MedicineDepartment of Environmental Veterinary ScienceGraduate School of Veterinary MedicineHokkaido UniversitySapporoJapan
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22
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Sun X, Long Z, Jia J. Identifying core habitats and corridors for giant pandas by combining multiscale random forest and connectivity analysis. Ecol Evol 2022; 12:e8628. [PMID: 35222978 PMCID: PMC8843761 DOI: 10.1002/ece3.8628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 01/16/2022] [Accepted: 01/25/2022] [Indexed: 11/11/2022] Open
Abstract
Habitat loss and fragmentation are widely acknowledged as the main driver of the decline of giant panda populations. The Chinese government has made great efforts to protect this charming species and has made remarkable achievements, such as population growth and habitat expansion. However, habitat fragmentation has not been reversed. Protecting giant pandas in a large spatial extent needs to identify core habitat patches and corridors connecting them. This study used an equal-sampling multiscale random forest habitat model to predict a habitat suitability map for the giant panda. Then, we applied the resistant kernel method and factorial least-cost path analysis to identify core habitats connected by panda dispersal and corridors among panda occurrences, respectively. Finally, we evaluated the effectiveness of current protected areas in representing core habitats and corridors. Our results showed high scale dependence of giant panda habitat selection. Giant pandas strongly respond to bamboo percentage and elevation at a relatively fine scale (1 km), whereas they respond to anthropogenic factors at a coarse scale (≥2 km). Dispersal ability has significant effects on core habitats extent and population fragmentation evaluation. Under medium and high dispersal ability scenarios (12,000 and 20,000 cost units), most giant panda habitats in the Qionglai mountain are predicted to be well connected by dispersal. The proportion of core habitats covered by protected areas varied between 38% and 43% under different dispersal ability scenarios, highlighting significant gaps in the protected area network. Similarly, only 43% of corridors that connect giant panda occurrences were protected. Our results can provide crucial information for conservation managers to develop wise strategies to safeguard the long-term viability of the giant panda population.
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Affiliation(s)
- Xue Sun
- College of Wildlife and Protected AreaNortheast Forestry UniversityHarbinChina
| | - Zexu Long
- College of Wildlife and Protected AreaNortheast Forestry UniversityHarbinChina
| | - Jingbo Jia
- College of Wildlife and Protected AreaNortheast Forestry UniversityHarbinChina
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23
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Ge D, Feijó A, Wen Z, Lissovsky A, Zhang D, Cheng J, Yan C, Mu D, Wu X, Xia L, Yang Q. Ancient introgression underlying the unusual mito‐nuclear discordance and coat phenotypic variation in the Moupin pika. DIVERS DISTRIB 2022. [DOI: 10.1111/ddi.13479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Affiliation(s)
- Deyan Ge
- Key Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China
| | - Anderson Feijó
- Key Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China
| | - Zhixin Wen
- Key Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China
| | | | - Dezhi Zhang
- Key Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China
| | - Jilong Cheng
- Key Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China
| | - Chaochao Yan
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology Chinese Academy of Sciences Sichuan China
| | - Danping Mu
- Key Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China
- Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology Xinjiang University Urumqi China
| | - Xinlai Wu
- Key Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China
- The Key Laboratory of Zoological Systematics and Application, School of Life Science, Institute of Life Science and Green Development Hebei University Baoding China
| | - Lin Xia
- Key Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China
| | - Qisen Yang
- Key Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China
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24
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Potential Range Shift of Snow Leopard in Future Climate Change Scenarios. SUSTAINABILITY 2022. [DOI: 10.3390/su14031115] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
The snow leopard (Panthera uncia) lives in alpine ecosystems in Central Asia, where it could face intensive climate change and is thus a major conservation concern. We compiled a dataset of 406 GPS-located occurrences based on field surveys, literature, and the GBIF database. We used Random Forest to build different species distribution models with a maximum of 27 explanatory variables, including climatic, topographical, and human impact variables, to predict potential distribution for the snow leopard and make climate change projections. We estimated the potential range shifts of the snow leopard under two global climate models for different representative concentration pathways for 2050 and 2070. We found the distribution center of the snow leopard may move northwest by about 200 km and may move upward in elevation by about 100 m by 2070. Unlike previous studies on the range shifts of the snow leopard, we highlighted that upward rather than northward range shifts are the main pathways for the snow leopard in the changing climate, since the landform of their habitat allows an upward shift, whereas mountains and valleys would block northward movement. Conservation of the snow leopard should therefore prioritize protecting its current habitat over making movement corridors.
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25
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Shao X, Lu Q, Xiong M, Bu H, Shi X, Wang D, Zhao J, Li S, Yao M. Prey partitioning and livestock consumption in the world's richest large carnivore assemblage. Curr Biol 2021; 31:4887-4897.e5. [PMID: 34551283 DOI: 10.1016/j.cub.2021.08.067] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 05/13/2021] [Accepted: 08/30/2021] [Indexed: 12/26/2022]
Abstract
Large mammalian carnivores have undergone catastrophic declines during the Anthropocene across the world. Despite their pivotal roles as apex predators in food webs and ecosystem dynamics, few detailed dietary datasets of large carnivores exist, prohibiting deep understanding of their coexistence and persistence in human-dominated landscapes. Here, we present fine-scaled, quantitative trophic interactions among sympatric carnivores from three assemblages in the Mountains of Southwest China, a global biodiversity hotspot harboring the world's richest large-carnivore diversity, derived from DNA metabarcoding of 1,097 fecal samples. These assemblages comprise a large-carnivore guild ranging from zero to five species along with two mesocarnivore species. We constructed predator-prey food webs for each assemblage and identified 95 vertebrate prey taxa and 260 feeding interactions in sum. Each carnivore species consumed 6-39 prey taxa, and dietary diversity decreased with increased carnivore body mass across guilds. Dietary partitioning was more evident between large-carnivore and mesocarnivore guilds, yet different large carnivores showed divergent proportional utilization of different-sized prey correlating with their own body masses. Large carnivores particularly selected livestock in Tibetan-dominated regions, where the indigenous people show high tolerance toward wild predators. Our results suggest that dietary niche partitioning and livestock subsidies facilitate large-carnivore sympatry and persistence and have key implications for sustainable conservation promoting human-carnivore coexistence.
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Affiliation(s)
- Xinning Shao
- School of Life Sciences, Peking University, Beijing 100871, China; Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Qi Lu
- School of Life Sciences, Peking University, Beijing 100871, China; Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Mengyin Xiong
- School of Life Sciences, Peking University, Beijing 100871, China
| | - Hongliang Bu
- School of Life Sciences, Peking University, Beijing 100871, China
| | - Xiaoyun Shi
- School of Life Sciences, Peking University, Beijing 100871, China; Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Dajun Wang
- School of Life Sciences, Peking University, Beijing 100871, China
| | - Jindong Zhao
- School of Life Sciences, Peking University, Beijing 100871, China; Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Sheng Li
- School of Life Sciences, Peking University, Beijing 100871, China; Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
| | - Meng Yao
- School of Life Sciences, Peking University, Beijing 100871, China; Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
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26
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Wang ZN, Yang L, Fan PF, Zhang L. Species bias and spillover effects in scientific research on Carnivora in China. Zool Res 2021; 42:354-361. [PMID: 33998183 PMCID: PMC8175954 DOI: 10.24272/j.issn.2095-8137.2021.033] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 05/07/2021] [Indexed: 11/07/2022] Open
Abstract
Scientific research provides essential information for conservation of threatened species. Data deficiency due to insufficient research impedes the design of conservation plans, and research bias may mistakenly direct limited resources to low biodiversity regions or less threatened species. Here, we conducted a systematic review of published papers, grants, and graduate student training on carnivorans in China to identify species bias and research gaps. Furthermore, we collected intrinsic and extrinsic features of carnivorans, and identified features that impact research intensity using generalized linear models. We found that the amount of research on carnivorans increased markedly after 2000, but species bias existed. Bears and big cats received the greatest research attention, while most small- and medium-sized carnivorans received little attention, thus showing the 80-20 phenomenon. Species with a higher level of endemism and protection under Chinese law received more consideration. As an animal conservation icon in China, the giant panda ( Ailuropoda melanoleuca) attracted more than 50% of overall carnivoran research resources. However, the giant panda also showed spillover effects, i.e., post-doctoral graduates who studied the giant panda shifted their research focus to other species after graduation, which may help improve research on other species. Thus, to improve and strengthen Carnivora research and conservation, we suggest investing greater effort in species of less concern, training of more graduate students, and reinforcing academic exchange. If such actions are not taken, many carnivoran species will continue being data deficient and threatened.
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Affiliation(s)
- Zhi-Ning Wang
- School of Life Sciences, Sun Yat-Sen University, Guangzhou, Guangdong 510275, China
| | - Li Yang
- School of Life Sciences, Sun Yat-Sen University, Guangzhou, Guangdong 510275, China
| | - Peng-Fei Fan
- School of Life Sciences, Sun Yat-Sen University, Guangzhou, Guangdong 510275, China. E-mail:
| | - Lu Zhang
- School of Life Sciences, Sun Yat-Sen University, Guangzhou, Guangdong 510275, China. E-mail:
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Zhang L, Yang B, Cox N. Why are pandas so obsessed with horse manure? SCIENCE CHINA. LIFE SCIENCES 2021; 64:492-493. [PMID: 33511475 DOI: 10.1007/s11427-020-1882-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 01/07/2021] [Indexed: 06/12/2023]
Affiliation(s)
- Li Zhang
- Key Laboratory for Biodiversity and Ecological Engineering of Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing, 100875, China.
| | - Biao Yang
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong, 637002, China
| | - Neil Cox
- IUCN-CI Biodiversity Assessment Unit, Global Species Program, NW, 20009, Washington DC, USA
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Abstract
The effects of human disturbance spread over virtually all ecosystems and ecological communities on Earth. In this review, we focus on the effects of human disturbance on terrestrial apex predators. We summarize their ecological role in nature and how they respond to different sources of human disturbance. Apex predators control their prey and smaller predators numerically and via behavioral changes to avoid predation risk, which in turn can affect lower trophic levels. Crucially, reducing population numbers and triggering behavioral responses are also the effects that human disturbance causes to apex predators, which may in turn influence their ecological role. Some populations continue to be at the brink of extinction, but others are partially recovering former ranges, via natural recolonization and through reintroductions. Carnivore recovery is both good news for conservation and a challenge for management, particularly when recovery occurs in human-dominated landscapes. Therefore, we conclude by discussing several management considerations that, adapted to local contexts, may favor the recovery of apex predator populations and their ecological functions in nature.
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