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Liu J, Pei X, Liao B, Zhang H, Liu W, Jiao J. Scale effects and spatial heterogeneity of driving factors in ecosystem services value interactions within the Tibet autonomous region. J Environ Manage 2024; 351:119871. [PMID: 38181680 DOI: 10.1016/j.jenvman.2023.119871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 11/28/2023] [Accepted: 12/13/2023] [Indexed: 01/07/2024]
Abstract
Widespread land development, deforestation, and wetland degradation have disrupted the physical integrity and functional capacity of ecosystems, leading to a reduction in ecosystem service values (ESV). However, comprehensive research addressing ESV interactions that represent various ecosystem services from multifaceted angles is limited. Moreover, the relative significance and spatiotemporal diversity of natural and socio-economic variables influencing ESV demand further investigation. This study conducts both quantitative and qualitative assessments of the spatiotemporal dynamics and interrelationships of ESV in the Tibet autonomous region from 2000 to 2020. Geographical detector and geographically weighted regression models are applied to ascertain the relative importance and spatial heterogeneity of diverse ESV determinants. The findings reveal the following key insights: (1) Barren lands experienced the most substantial expansion from 2000 to 2020, indicating an exacerbation of desertification in the Tibet autonomous region. (2) Over the two decades, ESV exhibited an overall upward trajectory, with regulation of water flows, water bodies, and forests making the most significant contributions to ESV and its growth. (3) The quantitative and qualitative assessment of ESV interrelations has identified the number of trade-offs and synergies, along with spatial occurrences, offering a detailed foundation for the scientific management of ecosystems. Specifically, quantitative results portray ESV correlations as positive or negative, qualitative spatial mapping elucidates intricate local interactions among ESV. (4) The primary driver of ESV in the Tibet autonomous region is NDVI (0.072), with elevation following closely behind, underscoring the predominant influence of natural factors relative to socio-economic variables. This research serves as a scientific underpinning for the development of ecological conservation policies and the execution of ecological restoration initiatives.
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Affiliation(s)
- Jiamin Liu
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; The Key Laboratory of Western China's Environmental Systems, Ministry of Education (MOE), Lanzhou, 730000, China.
| | - Xiutong Pei
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; The Key Laboratory of Western China's Environmental Systems, Ministry of Education (MOE), Lanzhou, 730000, China.
| | - Bingzhi Liao
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; The Key Laboratory of Western China's Environmental Systems, Ministry of Education (MOE), Lanzhou, 730000, China.
| | - Hengxi Zhang
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; The Key Laboratory of Western China's Environmental Systems, Ministry of Education (MOE), Lanzhou, 730000, China.
| | - Wang Liu
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; The Key Laboratory of Western China's Environmental Systems, Ministry of Education (MOE), Lanzhou, 730000, China.
| | - Jizong Jiao
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; Institute of Tibet Plateau Human Environment Research, Lanzhou University, Lanzhou, 730000, China; The Key Laboratory of Western China's Environmental Systems, Ministry of Education (MOE), Lanzhou, 730000, China.
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Liu L, Zhang H, Chen C, Li Z, Xu Y. Pilot study on long-term simulation of PCB-153 human body burden in the Tibetan Plateau. Chemosphere 2021; 276:130184. [PMID: 33725619 DOI: 10.1016/j.chemosphere.2021.130184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 02/13/2021] [Accepted: 03/02/2021] [Indexed: 06/12/2023]
Abstract
The historical body burden of 2,2',4,4',5,5'-Hexachlorobiphenyl (PCB-153) in the Tibet Autonomous Region (TAR) population was simulated on the basis of localized exposure factors and dietary data, which present a preliminary attempt to quantify the influence of high lipid dietary patterns, grain transported from inland China, and atmospheric transport on human exposure to polychlorinated biphenyls (PCBs). Herdsman with large animal-based food consumption exhibited the highest body burden that was comparable with that in inland China. The body burden of other residents was within the range of low-to-moderate level. High-lipid diet of urban residents caused their body burden being 1.5--2.5 times higher than that of rural residents. The consumption of grain transported from higher polluted areas can also result in 50%-115% increase in the body burden of Tibetan rural residents compared with when local produced grain is consumed, suggesting that the influence of grain logistic can be as important as dietary patterns. The exposure risk for rural residents associated with grain logistic should not be ignored even if they consumed less high-lipid food. By splitting the inventory, over 80% of the PCB-153 pollution in the TAR was identified to be induced by atmospheric transport from foreign countries. However, the grain logistic contributed approximately half of the overall human body burden of Tibetan residents recently if assuming that the grain shortage was supplied by adjacent Sichuan Province. The combined influence of high-lipid diet, atmospheric transport and food logistic highlights the difficulties of risk control in remote regions that accumulate POPs, such as TAR.
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Affiliation(s)
- Libin Liu
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081, China; College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua, 321004, China
| | - Haiyan Zhang
- The Johns Hopkins University-Nanjing University Center for Chinese and American Studies, Nanjing University, Nanjing, 210093, China
| | - Can Chen
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081, China
| | - Ziguang Li
- Haikou Forest Farm, Kunming Forestry Bureau, Kunming, 650114, China
| | - Yue Xu
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081, China.
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