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Zhang C, Wang K, Yue Y, Qi X, Zhang M. Assessing Regional Ecosystem Conditions Using Geospatial Techniques-A Review. SENSORS (BASEL, SWITZERLAND) 2023; 23:4101. [PMID: 37112442 PMCID: PMC10143971 DOI: 10.3390/s23084101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 04/12/2023] [Accepted: 04/13/2023] [Indexed: 06/19/2023]
Abstract
Ecosystem conditions at the regional level are critical factors for environmental management, public awareness, and land use decision making. Regional ecosystem conditions may be examined from the perspectives of ecosystem health, vulnerability, and security, as well as other conceptual frameworks. Vigor, organization, and resilience (VOR) and pressure-stress-response (PSR) are two commonly adopted conceptual models for indicator selection and organization. The analytical hierarchy process (AHP) is primarily used to determine model weights and indicator combinations. Although there have been many successful efforts in assessing regional ecosystems, they remain affected by a lack of spatially explicit data, weak integration of natural and human dimensions, and uncertain data quality and analyses. In the future, regional ecosystem condition assessments may be advanced by incorporating recent improvements in spatial big data and machine learning to create more operative indicators based on Earth observations and social metrics. The collaboration between ecologists, remote sensing scientists, data analysts, and scientists in other relevant disciplines is critical for the success of future assessments.
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Affiliation(s)
- Chunhua Zhang
- Department of Biology, Algoma University, Sault Ste. Marie, ON P6A2G4, Canada;
| | - Kelin Wang
- Key Laboratory for Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
- Huanjiang Observation and Research Station for Karst Ecosystem, Chinese Academy of Sciences, Huanjiang 547100, China
| | - Yuemin Yue
- Key Laboratory for Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
- Huanjiang Observation and Research Station for Karst Ecosystem, Chinese Academy of Sciences, Huanjiang 547100, China
| | - Xiangkun Qi
- Key Laboratory for Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
- Huanjiang Observation and Research Station for Karst Ecosystem, Chinese Academy of Sciences, Huanjiang 547100, China
| | - Mingyang Zhang
- Key Laboratory for Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
- Huanjiang Observation and Research Station for Karst Ecosystem, Chinese Academy of Sciences, Huanjiang 547100, China
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Wang Z, Chen Q. Comprehensive partitions and optimisation strategies based on tourism urbanisation and resources environment carrying capacity in the Yellow River Basin, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:23180-23193. [PMID: 34802079 PMCID: PMC8605891 DOI: 10.1007/s11356-021-17498-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 11/08/2021] [Indexed: 06/13/2023]
Abstract
A better understanding of the spatial coordination relationship between tourism urbanisation and resources environment carrying capacity (RECC) is vital for the regional selection of key eco-liveable tourist cities in the Yellow River Basin. This study addressed this research issue by evaluating and partitioning tourism urbanisation level and RECC of the Yellow River Basin in 2005, 2011, and 2018 using a geographic information system (GIS) technology, spatial autocorrelation model, and partition method. Empirical results suggest that the tourism urbanisation level of Shaanxi Province maintains its leading position, while Shanxi Province has great development potential. The high-value areas of RECC are concentrated in Gansu, Inner Mongolia, and Shandong provinces. The degree of spatial agglomeration of the tourism urbanisation level and RECC has been improved. The RECC exhibits a greater restrictive effect on the current high-level areas of tourism urbanisation, and the spatial correspondence between them is weak. Based on the findings of this study, a series of optimisation strategies have been proposed to promote the sustainable development of tourism urbanisation in the Yellow River Basin.
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Affiliation(s)
- Zhaofeng Wang
- College of Tourism, Hunan Normal University, Changsha, 410081, Hunan, China
| | - Qingqing Chen
- College of Tourism, Hunan Normal University, Changsha, 410081, Hunan, China.
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An Y, Liu S, Sun Y, Shi F, Zhao S, Liu Y, Li M. A partitioning approach for regional sustainability based on economic development indicators and ecological values for China. J Nat Conserv 2022. [DOI: 10.1016/j.jnc.2022.126179] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Designing a path for the sustainable development of key ecological function zones: A case study of southwest China. Glob Ecol Conserv 2021. [DOI: 10.1016/j.gecco.2021.e01840] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
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Assessment of Anthropogenic Impact versus Climate Change on the Succession of the Diatom Community in Lugu Lake (Yunnan-Guizhou Plateau, China) Using the Sedimentary Record of Geochemical Elements. WATER 2019. [DOI: 10.3390/w11040655] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The lake ecosystems on the Yunnan-Guizhou Plateau in China have degraded in recent decades under the effects of anthropogenic activities and climate change. The human impact on the oligotrophic Lugu Lake aquatic ecosystem was evaluated using the sediment records of metals, nitrogen isotopes (δ15N) and magnetic susceptibility over the past 200 years. Three periods were identified based on the trace metal and δ15N records. During the first stage (1816–1976 AD), the concentrations of metals, δ15N and magnetic susceptibility were low with small variations. The anthropogenic contributions to the inputs were also small, except for Ni, reflecting minor human activities in the watershed, and no significant change was observed in the sediment record of the diatom assemblage. During the second stage (1976–2001 AD), the concentrations of Zn and δ15N increased, as well as the anthropogenic contribution of Zn. However, no significant change was detected in the anthropogenic sources of the other metals. These results reflect the low-level use of chemical fertilizers. The major shift in the sediment diatom assemblage during this stage was mainly attributed to regional climate change. During the third stage (2001–2010 AD), the concentrations of the sedimentary metals (Ni, Cr, Mn, Cu, Hg and Al) increased rapidly, with the exception of As and Zn, and a similar increasing trend was observed in the changes by anthropogenic sources of Ni, Cr, Mn and Cu. RDA (Redundancy Analysis) and variance partitioning analysis showed that the human impact and climate proxies independently explained 31.59% and 4.26% of the change of diatom community, respectively, and the interaction between climate change and human impact accounted for 18.61% of the change of diatom community. Tourism-dominated human activities, which were reflected in the metals profiles, facilitated the dominance of eutrophic species and reduced that of oligotrophic species. The development of tourism was likely the main driving force for the succession of diatom assemblages in the third stage. In summary, the anthropogenic input of trace metals in Lugu Lake is still at a low level. However, the significant growth trend in metals over the past decade is significantly related to the change in the lake ecosystem. Therefore, the effects of human activities, especially tourism, on the watershed should be controlled for the protection of the oligotrophic Lugu Lake.
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Song S, Zhang S, Wang T, Meng J, Zhou Y, Zhang H. Balancing conservation and development in Winter Olympic construction: evidence from a multi-scale ecological suitability assessment. Sci Rep 2018; 8:14083. [PMID: 30237422 PMCID: PMC6147948 DOI: 10.1038/s41598-018-32548-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Accepted: 09/04/2018] [Indexed: 11/16/2022] Open
Abstract
Optimizing spatial patterns of land development and minimizing the ecological impact of concentrated construction is the key to realizing regionally sustainable development. The reasonable assessment of the ecological effects of the Winter Olympic construction on areas where the mountainous ecosystem is ecologically sensitive and vulnerable is urgent for responsible urban and regional development. Here, we assess the multi-scale suitability of ecologically compatible development in Winter Olympic regions using the ecological suitability assessment method based on GIS spatial analysis. We found the Chongli District had relatively high ecological structure and function resistances at a basin scale and that the towns where Olympic facilities located also had larger ecological resistance. The integrated suitability assessment showed the prior and moderate zones for suitable large-scale development and utilization in Chongli were smaller than those in other counties. The total loss area of natural ecological systems (forests, shrubs and meadows) for a new ski resort is 117.27 hm2, which will lead to ecosystem function loss such as water and soil conservation and will potentially impact ecological systems. This research will be a useful reference for exploring the multi-scale balancing of conservation and development for Winter Olympic regions, and in turn, for concentrated global constructions.
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Affiliation(s)
- Shuai Song
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Sheng Zhang
- School of Environmental & Natural Resources, Renmin University of China, Beijing, 100872, China
| | - Tieyu Wang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Jing Meng
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
| | - Yunqiao Zhou
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hong Zhang
- College of Environmental & Resource Science, Shanxi University, Taiyuan, 030006, China
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