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Li X, Ai Z, Yang Z, Yao Y, Ren Z, Hou M, Li J, Cao X, Li P, Zhang D, Li T, Dang X. Ecological risk assessment and restoration area identification of Pengyang County on the basis of the landscape pattern and function. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 195:998. [PMID: 37493683 DOI: 10.1007/s10661-023-11596-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 07/10/2023] [Indexed: 07/27/2023]
Abstract
The joint landscape ecological risk as well as ecological corridors for ecological restoration area identification is of great significance to the past evolution and future development of landscapes. Ecological risks were assessed based on the landscape pattern and functional changes in Pengyang County in 2000, 2010, and 2020; ecological restoration areas were divided based on ecological risks and security pattern. Results showed that the ecological risk types in Pengyang County were mainly low risk from 2000 to 2010 and distributed in the central region, while the high-risk areas increased from 2010 to 2020 and were concentrated in the southern residential area. According to a comprehensive assessment of the landscape ecological risks, an ecological security pattern consisting of 17 ecological source points and 34 potential ecological corridors with an average length of 6.57 km was identified. Three ecological restoration areas were eventually identified: mining restoration areas, mountain restoration area, and urban restoration area. Our results would provide an important perspective for the sustainable development of regional natural landscape resources.
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Affiliation(s)
- Xinghua Li
- College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, People's Republic of China
| | - Zemin Ai
- College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, People's Republic of China.
| | - Zhi Yang
- General Station for Soil and Water Conservation Monitoring, Ningxia Hui Autonomous Region, Yinchuan, 750002, Ningxia, People's Republic of China
| | - Yuyan Yao
- College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, People's Republic of China
| | - Zhengyan Ren
- General Station for Soil and Water Conservation Monitoring, Ningxia Hui Autonomous Region, Yinchuan, 750002, Ningxia, People's Republic of China
| | - Mengjia Hou
- College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, People's Republic of China
| | - Jiayi Li
- College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, People's Republic of China
| | - Xiaoshu Cao
- Northwest Land Resources Research Center, Shaanxi Normal University, Xi'an, 710119, Shaanxi, People's Republic of China
| | - Peng Li
- State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an, 710048, Shaanxi, People's Republic of China
| | - Donghai Zhang
- College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, People's Republic of China
| | - Ting Li
- College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, People's Republic of China
| | - Xiaohu Dang
- College of Geology and Environment, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, People's Republic of China.
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Impacts of Policy-Driven Transformation in the Livelihoods of Fishermen on Agricultural Landscape Patterns: A Case Study of a Fishing Village, Island of Poyang Lake. LAND 2022. [DOI: 10.3390/land11081236] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The agricultural landscape patterns of fishing village have undergone visible transformations in recent decades. Scholars pay less attention to fishermen with diverse livelihoods. Therefore, it is necessary to sort out the changing characteristics of fishermen’ livelihoods and agricultural landscape patterns under different policy periods. We use in-depth interviews, remote sensing technology, and mathematical analysis to systematically study the changes in fishermen’s livelihoods and in agricultural landscape patterns in a typical fishing village. The results show that policy have profoundly affected fishermen’ livelihoods. Livelihood transformation have altered local land use practices, which had a direct impact on agricultural landscape patterns. The livelihood of fishermen has changed from diverse to single, and their cropping structure were gradually becoming simpler and more specialised. After grazing ban and comprehensive fishing ban, many fishermen migrated to towns and cities, it accelerated the loss of population in the fishing village, which caused the amount of abandoned land increasingly. Left-behind fishermen became rice farmers by contracting abandoned paddy fields. The expanses of abandoned land and bamboo woodland had increased, which caused agricultural landscape patterns gradually becoming fragmented, heterogeneous and complex.
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