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Liu X, Chen J, Tang BH, He L, Xu Y, Yang C. Eco-environmental changes due to human activities in the Erhai Lake Basin from 1990 to 2020. Sci Rep 2024; 14:8646. [PMID: 38622188 PMCID: PMC11018612 DOI: 10.1038/s41598-024-59389-6] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 04/10/2024] [Indexed: 04/17/2024] Open
Abstract
Human activities have increased with urbanisation in the Erhai Lake Basin, considerably impacting its eco-environmental quality (EEQ). This study aims to reveal the evolution and driving forces of the EEQ using water benefit-based ecological index (WBEI) in response to human activities and policy variations in the Erhai Lake Basin from 1990 to 2020. Results show that (1) the EEQ exhibited a pattern of initial degradation, subsequent improvement, further degradation and a rebound from 1990 to 2020, and the areas with poor and fair EEQ levels mainly concentrated around the Erhai Lake Basin with a high level of urbanisation and relatively flat terrain; (2) the EEQ levels were not optimistic in 1990, 1995 and 2015, and areas with poor and fair EEQ levels accounted for 43.41%, 47.01% and 40.05% of the total area, respectively; and (3) an overall improvement in the EEQ was observed in 1995-2000, 2000-2005, 2005-2009 and 2015-2020, and the improvement was most significant in 1995-2000, covering an area of 823.95 km2 and accounting for 31.79% of the total area. Results also confirmed that the EEQ changes in the Erhai Lake Basin were primarily influenced by human activities and policy variations. Moreover, these results can provide a scientific basis for the formulation and planning of sustainable development policy in the Erhai Lake Basin.
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Affiliation(s)
- Xiaojie Liu
- Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, 650093, China
- Surveying and Mapping Geo-Informatics Technology Research Center On Plateau Mountains of Yunnan Higher Education, Kunming, 650093, China
| | - Junyi Chen
- Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, 650093, China.
- Surveying and Mapping Geo-Informatics Technology Research Center On Plateau Mountains of Yunnan Higher Education, Kunming, 650093, China.
| | - Bo-Hui Tang
- Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, 650093, China
- Surveying and Mapping Geo-Informatics Technology Research Center On Plateau Mountains of Yunnan Higher Education, Kunming, 650093, China
| | - Liang He
- School of Environmental Science, Nanjing Xiaozhuang University, Nanjing, 211171, China
| | - Yunshan Xu
- College of Landscape Architecture and Horticulture, Southwest Forestry University, Kunming, 650224, China
| | - Chao Yang
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen, 518060, China
- School of Architecture and Urban Planning, Shenzhen University, Shenzhen, 518060, China
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Qin H, Li S, Sun J, Cheng J. Scale-dependent responses of ecosystem service trade-offs to urbanization in Erhai Lake Basin, China. Environ Sci Pollut Res Int 2023; 30:120663-120682. [PMID: 37943440 DOI: 10.1007/s11356-023-30885-y] [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: 12/26/2022] [Accepted: 11/01/2023] [Indexed: 11/10/2023]
Abstract
Urbanization is an important factor affecting ecosystem services (ESs) and their trade-offs. However, little is known about the responses of ES trade-offs to urbanization at different scales. Here, the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model was used to evaluate water yield (WY), water purification (WP), carbon storage (CS), and habitat quality (HQ) in Erhai Lake Basin using earth observation data, and the percentage of urban land (PUL), population density (POP), gross domestic product (GDP), and night light index (NLI) were used as urbanization indicators. We quantified the ES trade-offs using the root mean square error and analyzed spatiotemporal changes in urbanization indicators, ESs, and their trade-offs. Finally, we characterized the relationship between urbanization and ES trade-offs using correlation analysis and curve regression at the grid and town scales. From 2000 to 2020, values of PUL/GDP/NLI/POP were high in the south and low in the north; specifically, they were 15, 8, 2, and 0.42 times higher in the south than in the north, respectively. The urban expansion area in the Erhai Basin from 2000 to 2020 resulted in a 123.24% and 77.03% increase in WY and WP, respectively, and a 32.38% and 100% decrease in CS and HQ, respectively. The trade-offs between WY and CS and between WY and HQ increased, and other ES trade-offs decreased. Urbanization was significantly correlated with most ES trade-offs at the grid scale, but not at the town scale. There was a significant positive correlation between all urbanization indicators and the trade-off between CS and WP (p < 0.05), and the magnitude of the correlation increased with scale. The relationship between ES trade-offs and urbanization was mostly U-shaped and inverted U-shaped at the grid scale, but N-shaped and inverted N-shaped at the town scale. This study provides information that could be used for multi-scale urban planning.
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Affiliation(s)
- Huangxi Qin
- Department of Life Science and Agronomy, Dali University, Dali, 671003, China.
| | - Shun Li
- Department of Life Science and Agronomy, Dali University, Dali, 671003, China
| | - Jiwen Sun
- Department of Life Science and Agronomy, Dali University, Dali, 671003, China
| | - Jianghao Cheng
- Department of Life Science and Agronomy, Dali University, Dali, 671003, China
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Dong Y, Ma W, Tan Z, Wang Y, Zeng W. Spatial and temporal variation of multiple eco-environmental indicators in Erhai Lake Basin of China under land use transitions. Environ Sci Pollut Res Int 2023; 30:16236-16252. [PMID: 36181597 DOI: 10.1007/s11356-022-23279-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [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: 07/22/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
Environmental degradation is a global ecological concern, and land use transitions play a critical role in a region's ecological well-being and long-term sustainability. In this paper, indicators related to land use transitions, including the regional eco-environmental quality index (EV), the remote sensing ecological index (RSEI), and soil erosion, are selected to analyze the eco-environmental quality of Erhai Lake Basin from 2000 to 2020. The results showed that (1) from 2000 to 2020, forestland, grassland, and cultivated land were the major land use types in the study region, and also the land use types where land use transition was notable; (2) over the 20 years of study, the EV value of Erhai Lake Basin increased by 0.003, its average RSEI increased by 0.14, and the average soil erosion modulus there decreased by 15.48 t/(km2·a), indicating that the eco-environment of the Erhai Lake Basin was improving. Evaluation based on multiple ecological indicators was superior to assessment relying on single indicators; (3) all three ecological indicators showed that the ecological environment of the basin was improving, but with significant regional differences. Forestland had the best ecological quality, while unused land and built-up land had the worst. RSEI was more regionally adaptable than the other two indices. (4) The transition of cultivated land into other land use types was the main reason for the improved ecological quality in the basin, while tourism had accelerated land use transformation. Compared with assessment based on single ecological indicators, evaluation based on a combination of multiple ecological indicators can more accurately reflect the ecological condition of the study area and provide a basis for eco-environmental protection in Erhai Lake Basin.
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Affiliation(s)
- Yakun Dong
- College of Water Resources, Yunnan Agricultural University, Kunming, 650201, China
- Yunnan Intermountain Basin Land Use Field Scientific Observation and Research Station, Ministry of Natural Resources, Kunming, 650201, China
| | - Wei Ma
- Department of Water Ecology and Environment, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
| | - Zhiwei Tan
- Yunnan Research Academy of Eco-Environmental Sciences, Kunming, 650034, Yunnan, China
| | - Yu Wang
- College of Water Resources, Yunnan Agricultural University, Kunming, 650201, China
- Yunnan Intermountain Basin Land Use Field Scientific Observation and Research Station, Ministry of Natural Resources, Kunming, 650201, China
| | - Weijun Zeng
- College of Water Resources, Yunnan Agricultural University, Kunming, 650201, China.
- Yunnan Intermountain Basin Land Use Field Scientific Observation and Research Station, Ministry of Natural Resources, Kunming, 650201, China.
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Li Y, Yen H, Lei Q, Qiu W, Luo J, Lindsey S, Qin L, Zhai L, Wang H, Wu S, Li W, Hu W, Li H, Liu H. Impact of human activities on phosphorus flows on an early eutrophic plateau: A case study in Southwest China. Sci Total Environ 2020; 714:136851. [PMID: 32018984 DOI: 10.1016/j.scitotenv.2020.136851] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 12/29/2019] [Accepted: 01/20/2020] [Indexed: 06/10/2023]
Abstract
The net anthropogenic phosphorus inputs (NAPI) model has been used extensively to assess changes in phosphorus (P) inputs and cycling in the environment. However, temporary populations have generally been unconsidered in these assessments. In this study, the NAPI model was used to estimate P loads from the 16 towns and villages in the Erhai Lake Basin (ELB), Southwest China and to evaluate the potential impact from temporary residents (tourism). The results showed that the average value P inputs in the basin (estimated at 2384 kg P km-2 year-1) were 5 times the national average level, and that temporary residents contributed 1%. Agriculture accounted for most of the net P, with chemical fertilizers (55% of the inputs) as the main source, followed by food and animal feed. Only 9.54% of the P inputs to the basin were exported. River water quality and NAPI were significantly correlated (P < 0.01). Tourism industry contributes significantly to regional economic growth and prosperity, but its beneficial effects on the economy does not equate with the adverse impact on environment. This study illustrates what is happening in Southwest China and provides scientific evidence that shows we need to find novel ways to reduce nutrients.
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Affiliation(s)
- Ying Li
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Haw Yen
- Blackland Research and Extension Center, Texas A&M Agrilife Research, Texas A&M University, TX 76502, USA
| | - Qiuliang Lei
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Weiwen Qiu
- The New Zealand Institute for Plant and Food Research Limited, Private Bag 4704, Christchurch 8140, New Zealand
| | - Jiafa Luo
- AgResearch, Ruakura Research Centre, 10 Bisley Road, Hamilton 3214, New Zealand
| | - Stuart Lindsey
- AgResearch, Ruakura Research Centre, 10 Bisley Road, Hamilton 3214, New Zealand
| | - Lihuan Qin
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Limei Zhai
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Hongyuan Wang
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Shuxia Wu
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Wenchao Li
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Wanli Hu
- Institute of Agricultural Resources & Environment, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
| | - Huizhong Li
- Liaoning Provincial Department of Natural Resources, Shenyang 110032, China
| | - Hongbin Liu
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
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