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Hou S, Yang R, Zhao Z, Cao Y, Tseng TH, Wang F, Wang H, Wang P, Wang X, Yu L. A cost-effective approach to identify conservation priority for 30 × 30 biodiversity target on the premise of food security. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 941:172870. [PMID: 38782279 DOI: 10.1016/j.scitotenv.2024.172870] [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: 12/14/2023] [Revised: 04/03/2024] [Accepted: 04/27/2024] [Indexed: 05/25/2024]
Abstract
There is a growing consensus on expanding protected and conserved areas for biodiversity conservation. Nevertheless, it remains uncertain where to expand conserved areas as well as what appropriate management modalities to choose. Moreover, conserved areas expansion should be balanced with crop-related food security challenges. We developed a framework to identify cost-effective areas for expanding protected areas and other effective area-based conservation measures (OECMs), and applied it to China. By combining templates for biodiversity conservation priorities at global scale and the priority conservation areas based on 2413 vertebrates' extinction risk in China, we identified areas with high biodiversity conservation value. We then categorized the priority areas according to human impact, indicating the potential cost of management. As a result of combining the two aspects above, we identified the most cost-effective areas for expanding protected areas and OECMs while excluding both the current and predicted croplands that can be used for food security. The results show that China could expand its protected areas to 22.81 % of the country's land area and establish OECMs in areas accounting for 9.82 % and 17.37 % of the country's land area in a cost-effective approach in two scenarios. In the ambitious scenario, protected and conserved areas would account for a maximum of 40.18 % of terrestrial area, with an average 62.67 % coverage of the 2413 species' suitable habitat. To achieve the goals of protected and conserved areas in Kunming-Montreal Global Biodiversity Framework, countries could apply this framework to identify their protected areas and OECM expansion priorities.
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Affiliation(s)
- Shuyu Hou
- Institute for National Parks, Tsinghua University, Beijing 100084, China; College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China
| | - Rui Yang
- Institute for National Parks, Tsinghua University, Beijing 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, China.
| | - Zhicong Zhao
- Institute for National Parks, Tsinghua University, Beijing 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, China
| | - Yue Cao
- Institute for National Parks, Tsinghua University, Beijing 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, China
| | - Tz-Hsuan Tseng
- Institute for National Parks, Tsinghua University, Beijing 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, China
| | - Fangyi Wang
- Institute for National Parks, Tsinghua University, Beijing 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, China
| | - Hao Wang
- Institute for National Parks, Tsinghua University, Beijing 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, China
| | - Pei Wang
- Institute for National Parks, Tsinghua University, Beijing 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, China
| | - Xiaoshan Wang
- Institute for National Parks, Tsinghua University, Beijing 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, China
| | - Le Yu
- Institute for National Parks, Tsinghua University, Beijing 100084, China; Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China; Ministry of Education Ecological Field Station for East Asian Migratory Birds, Department of Earth System Science, Tsinghua University, Beijing 100084, China
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Hou S, Yang R, Cao Y, Zhao Z, Peng Q, Wang H, Si Y. A framework for identifying bird conservation priority areas in croplands at national level. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 324:116330. [PMID: 36208513 DOI: 10.1016/j.jenvman.2022.116330] [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: 06/11/2022] [Revised: 09/15/2022] [Accepted: 09/17/2022] [Indexed: 06/16/2023]
Abstract
Global biodiversity is declining at an unprecedented rate, and the Post-2020 Global Biodiversity Framework requires each country to fulfill the conservation targets in biodiversity-inclusive spatial planning. Croplands provide habitat and food for many species, making them crucial for biodiversity conservation in addition to food production. Assessing conservation priorities in cropland is a prerequisite to allocate conservation resources and plan actions for better conservation outcomes. Yet quantitative methods to assess cropland conservation priority for biodiversity conservation at a national scale are still lacking. We proposed a framework for identifying the conservation priority in cropland for bird species at a national scale and applied the framework in China. We calculated the suitable habitat for each species and used a complementarity-based approach to designate the irreplaceable conservation priority areas considering richness, threatened level, and conservation percentage targets. We identified cropland taking up 6.76% of China's land area as a bird conservation priority, partially covering the suitable habitat of all the study species. By analyzing the landscape pattern of the priority areas and species' foraging traits, we provided policy-making suggestions according to area-specific characteristics. This framework can be used to identify priority areas for large-scale biodiversity conservation for different countries.
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Affiliation(s)
- Shuyu Hou
- Institute for National Parks, Tsinghua University, Beijing, 100084, China; Tsinghua University, Beijing, 100084, China.
| | - Rui Yang
- Institute for National Parks, Tsinghua University, Beijing, 100084, China; Tsinghua University, Beijing, 100084, China.
| | - Yue Cao
- Institute for National Parks, Tsinghua University, Beijing, 100084, China; Tsinghua University, Beijing, 100084, China.
| | - Zhicong Zhao
- Institute for National Parks, Tsinghua University, Beijing, 100084, China; Tsinghua University, Beijing, 100084, China.
| | - Qinyi Peng
- Institute for National Parks, Tsinghua University, Beijing, 100084, China; Tsinghua University, Beijing, 100084, China.
| | - Hao Wang
- Institute for National Parks, Tsinghua University, Beijing, 100084, China; Tsinghua University, Beijing, 100084, China.
| | - Yali Si
- Institute of Environmental Sciences CML, Leiden University, Einsteinweg 2, Leiden, the Netherlands, 2333CC; Ministry of Education Ecological Field Station for East Asian Migratory Birds, Department of Earth System Science, Tsinghua University, Beijing, China.
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Planning Effective Conservation Landscapes for Nature and People: An Editorial Overview. LAND 2022. [DOI: 10.3390/land11071028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The interrelated global crises of biodiversity loss, climate change, disease, and war are all caused and experienced by humankind [...]
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Peng Q, Yang R, Cao Y, Wang F, Hou S, Tseng TH, Wang X, Wang P, Zhao Z, Yu L, Locke H. One-third of lands face high conflict risk between biodiversity conservation and human activities in China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 299:113449. [PMID: 34450301 DOI: 10.1016/j.jenvman.2021.113449] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 07/11/2021] [Accepted: 07/29/2021] [Indexed: 06/13/2023]
Abstract
Biodiversity is declining at an unprecedented rate, and conservation is needed in many places including human-dominated landscapes. Evaluation of conflict risk between biodiversity conservation and human activities is a prerequisite for countries to develop strategies to achieve better conservation outcomes. However, quantitative methods to measure the conflict risk in large-scale areas are still lacking. Here we put forward a quantitative model in large-scale areas and produce the first continuum map of conflict risk in China. Our results show that conflict risk hotspots take up 32.86 % of China's terrestrial area, which may affect 42.98 % of China's population and more than 98 % of threaten vertebrates. Although species richness is high in these hotspot regions, only 10.69 % of them are covered by protected areas. Therefore, alternative conservation measures and proactive spatial planning are needed, especially in regions along the coastlines and around the Sichuan Basin. Especially, extraordinary attentions should be paid to urban agglomerations such as the Pearl River Delta and Yangtze River Delta. Compared to previous studies, our study quantifies the conflict risk of every gird cell, enabling the comparison among any locations. The analysis of 500 times generations shows a low sensitivity of the model as the maximum standard deviation is only 0.017. Furthermore, our model can be applied in other countries or at global scale to provide strategies for conflict governance and biodiversity conservation.
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Affiliation(s)
- Qinyi Peng
- Institute for National Parks, Tsinghua University, Beijing, 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing, 100084, China
| | - Rui Yang
- Institute for National Parks, Tsinghua University, Beijing, 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing, 100084, China.
| | - Yue Cao
- Institute for National Parks, Tsinghua University, Beijing, 100084, China
| | - Fangyi Wang
- Institute for National Parks, Tsinghua University, Beijing, 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing, 100084, China
| | - Shuyu Hou
- Institute for National Parks, Tsinghua University, Beijing, 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing, 100084, China
| | - Tz-Hsuan Tseng
- Institute for National Parks, Tsinghua University, Beijing, 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing, 100084, China
| | - Xiaoshan Wang
- Institute for National Parks, Tsinghua University, Beijing, 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing, 100084, China
| | - Pei Wang
- Institute for National Parks, Tsinghua University, Beijing, 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing, 100084, China
| | - Zhicong Zhao
- Institute for National Parks, Tsinghua University, Beijing, 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing, 100084, China
| | - Le Yu
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China; Ministry of Education Ecological Field Station for East Asian Migratory Birds, Beijing, 100084, China
| | - Harvey Locke
- Beyond the Aichi Targets Task Force IUCN, World Commission on Protected Areas, Switzerland; Yellowstone to Yukon Conservation Initiative, Canada
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