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Fan X, Zhang Q, Wu Q. Offshore habitats of endangered large mobile species in the western Yellow Sea: Quality status under shipping pressure. MARINE POLLUTION BULLETIN 2024; 204:116565. [PMID: 38843704 DOI: 10.1016/j.marpolbul.2024.116565] [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: 04/18/2024] [Revised: 06/02/2024] [Accepted: 06/02/2024] [Indexed: 06/17/2024]
Abstract
Increasing shipping pressure (SP) deteriorates offshore habitats of large mobile species (LMS) and invalidates marine conservation systems, while the threat of SP to the survival of LMS is not well understood. Here, for the 16 endangered LMS in the western Yellow Sea, we quantified their habitat quality in specific sea areas and conservation capacity of marine protected areas (MPAs) under SP, based on AIS (Automatic Identification System) data and an overlay analysis method for SP surfaces and LMS habitats. Results indicate that three specific sea areas have partially lost habitat function, and their MPA networks have also lost 66.7 %, 59.1 %, and 9.2 % of conservation capacity, respectively. To prevent the continued degradation and extinction of endangered LMS, urgent rescue efforts are needed. This study highlights the importance of monitoring offshore shipping pressure and LMS habitat quality, and the findings contribute to the adjustment of marine spatial planning and LMS protection strategies.
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Affiliation(s)
- Xuezhong Fan
- School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China.
| | - Qinglong Zhang
- School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China
| | - Qian Wu
- School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China
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Wang J, Ding Y, Wang S, Watson AE, He H, Ye H, Ouyang X, Li Y. Pixel-scale historical-baseline-based ecological quality: Measuring impacts from climate change and human activities from 2000 to 2018 in China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 313:114944. [PMID: 35381526 DOI: 10.1016/j.jenvman.2022.114944] [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: 10/01/2021] [Revised: 03/18/2022] [Accepted: 03/18/2022] [Indexed: 06/14/2023]
Abstract
Widespread concern about ecological degradation has prompted development of concepts and exploration of methods to quantify ecological quality with the aim of measuring ecosystem changes to contribute to future policy-making. This paper proposes a conceptual framework for ecological quality measurement based on current ecosystem functions and biodiverse habitat, compared with pixel-scale historical baselines. The framework was applied to evaluate the changes and driving factors of ecological quality for Chinese terrestrial ecosystems through remote sensing-based and ecosystem process modeled data at 1 km spatial resolution from 2000 to 2018. The results demonstrated the ecological quality index (EQI) had a very different spatial pattern based upon vegetation distribution. An upward trend in EQI was found over most areas, and variability of 46.95% in EQI can be explained well by change in climate, with an additional 10.64% explained by changing human activities, quantified by population density. This study demonstrated a practical and objective approach for quantifying and assessing ecological quality, which has application potential in ecosystem assessments on scales from local to region and nation, yet would provide a new scientific concept and paradigm for macro ecosystems management and decision-making by governments.
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Affiliation(s)
- Junbang Wang
- National Ecosystem Science Data Center, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810008, China.
| | - Yuefan Ding
- National Ecosystem Science Data Center, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Shaoqiang Wang
- National Ecosystem Science Data Center, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Alan E Watson
- USDA Forest Service, Rocky Mountain Research Station, Missoula, MT, 59801, USA.
| | - Honglin He
- National Ecosystem Science Data Center, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Hui Ye
- School of Tourism and Geography, Jiujiang University, Jiujiang, 332005, China.
| | - Xihuang Ouyang
- School of Tourism and Geography, Jiujiang University, Jiujiang, 332005, China.
| | - Yingnian Li
- Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810008, China.
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Landscape Changes in Protected Areas in Poland. SUSTAINABILITY 2022. [DOI: 10.3390/su14020753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Land-Use Cover Changes (LUCCs) are one of the main problems for the preservation of landscapes and natural biodiversity. Protected Areas (PAs) do not escape this threat. Poland is among the European leaders in terms of the variety of landscapes and the share of an area designated as a protected area. However, as many as 78% of the habitats have poor or bad conservation status based on EEA reports. This article analyzes the LUCCs between 2000 and 2018 in various types of the Polish legal forms of nature protection areas and the European Natura 2000 network within the country. The research material was: the data of Corine Land Cover (CLC), the Central Register of Nature Protection Forms, and high-resolution layers, such as HRL and orthophotos. The results were compiled according to the CLC class and forms of protection. The matrix of transformations showed that the most frequently transformed CLC class was 312 (coniferous forest). It was transformed into class 324 (transitional woodland shrubs). The changes in PAs were usually smaller than in the surrounding buffer zones, which may indicate their effectiveness. The exception was the areas of the European Natura 2000 network. The scale of land-cover flows (LCFs) changed within particular forms of protected areas, though afforestation and deforestation predominating in all area types. National reserves and parks were the most stable in terms of land cover structures. However, human settlements increased around the protected areas, potentially increasing threats to their ecological integrity.
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