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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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Terêncio DPS, Pacheco FAL, Sanches Fernandes LF, Cortes RMV. Is it safe to remove a dam at the risk of a sprawl by exotic fish species? THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 771:144768. [PMID: 33524681 DOI: 10.1016/j.scitotenv.2020.144768] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 12/22/2020] [Accepted: 12/25/2020] [Indexed: 06/12/2023]
Abstract
The longitudinal dimension of river connectivity has been significantly disrupted by barriers to compensate for water demand in the long periods of water scarcity in the Iberian Peninsula. The scale of this modification is widespread in the Portuguese part of Douro River network where, side to side with agriculture water demand, there is a constant increase in hydropower production. Thus, native species in Iberian freshwater systems, performing reproductive migrations along the rivers, are strongly affected by the amplification of fragmentation caused by the tremendous density of transversal obstacles in this river basin. We aimed to prioritize dam removal in the Portuguese part of Douro River, mainly considering obsolete barriers (small dams, weirs) based on a spatial multicriteria decision analysis (GIS-MCDA) based on a prioritization procedure. A diversity of parameters were used to prioritize (rank) the dam's suitability for removal, considering the losses of connectivity and fish biodiversity, habitat degradation, negative effects on water quality and ecological conditions, and socio-economic factors. Different weights were assigned to the different attributes in each criterion according to their importance. The analysis also included a significant constraint: the potential spreading of exotic invasive fish species if connection was reestablished through dam removal. This procedure started with the georeferencing of 1201 transversal obstacles that were further characterized for their relative permeability to fish migration. In conclusion the model used allowed to identify 158 priority barriers, as well as the 5 most fragmented tributaries, which means the most impacted by river regulation. In 8 cases the barriers were big dams (> 15 m), whereas in the remaining 150 were weirs. From a final rank of 20 most impacting structures, the MCDA results also identified two cases where potential removal could trigger the additional impact to native fish species related to the sprawl of alien populations.
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Affiliation(s)
- D P S Terêncio
- Centro de Investigação e Tecnologias Agroambientais e Biológicas, Universidade de Trás-os-Montes e Alto Douro, Ap 1013, 5001-801 Vila Real, Portugal; Centro de Química de Vila Real, Universidade de Trás-os-Montes e Alto Douro, Ap 1013, 5001-801 Vila Real, Portugal.
| | - F A L Pacheco
- Centro de Química de Vila Real, Universidade de Trás-os-Montes e Alto Douro, Ap 1013, 5001-801 Vila Real, Portugal
| | - L F Sanches Fernandes
- Centro de Investigação e Tecnologias Agroambientais e Biológicas, Universidade de Trás-os-Montes e Alto Douro, Ap 1013, 5001-801 Vila Real, Portugal
| | - R M V Cortes
- Centro de Investigação e Tecnologias Agroambientais e Biológicas, Universidade de Trás-os-Montes e Alto Douro, Ap 1013, 5001-801 Vila Real, Portugal
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Impacts of current and future large dams on the geographic range connectivity of freshwater fish worldwide. Proc Natl Acad Sci U S A 2020; 117:3648-3655. [PMID: 32015125 PMCID: PMC7035475 DOI: 10.1073/pnas.1912776117] [Citation(s) in RCA: 84] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Freshwater fish are highly threatened by dams that disrupt the longitudinal connectivity of rivers and may consequently impede fish movements to feeding and spawning grounds. In a comprehensive global analysis covering ∼10,000 freshwater fish species and ∼40,000 existing large dams we identified the most disconnected geographical ranges for species in the United States, Europe, South Africa, India, and China. The completion of near-future plans for ∼3,700 large hydropower dams will greatly increase habitat fragmentation in (sub)tropical river basins, where many livelihoods depend on inland fisheries. Our assessment can support infrastructure planning on multiple scales and assist in setting conservation priorities for species and basins at risk. Dams contribute to water security, energy supply, and flood protection but also fragment habitats of freshwater species. Yet, a global species-level assessment of dam-induced fragmentation is lacking. Here, we assessed the degree of fragmentation of the occurrence ranges of ∼10,000 lotic fish species worldwide due to ∼40,000 existing large dams and ∼3,700 additional future large hydropower dams. Per river basin, we quantified a connectivity index (CI) for each fish species by combining its occurrence range with a high-resolution hydrography and the locations of the dams. Ranges of nondiadromous fish species were more fragmented (less connected) (CI = 73 ± 28%; mean ± SD) than ranges of diadromous species (CI = 86 ± 19%). Current levels of fragmentation were highest in the United States, Europe, South Africa, India, and China. Increases in fragmentation due to future dams were especially high in the tropics, with declines in CI of ∼20 to 40 percentage points on average across the species in the Amazon, Niger, Congo, Salween, and Mekong basins. Our assessment can guide river management at multiple scales and in various domains, including strategic hydropower planning, identification of species and basins at risk, and prioritization of restoration measures, such as dam removal and construction of fish bypasses.
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