ECOSYSTEM HEALTH ASSESSMENT OF MINING CITIES BASED ON LANDSCAPE PATTERN
Ecosystem health assessment (EHA) is one of the most important aspects in ecosystem management. Nowadays, ecological environment of mining cities is facing various problems. In this study, through ecosystem health theory and remote sensing images in 2005, 2009 and 2013, landscape pattern analysis...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2017-09-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/1427/2017/isprs-archives-XLII-2-W7-1427-2017.pdf |
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| author | W. Yu Y. Liu M. Lin F. Fang R. Xiao |
| author_facet | W. Yu Y. Liu M. Lin F. Fang R. Xiao |
| author_sort | W. Yu |
| collection | DOAJ |
| description | Ecosystem health assessment (EHA) is one of the most important aspects in ecosystem management. Nowadays, ecological
environment of mining cities is facing various problems. In this study, through ecosystem health theory and remote sensing images in
2005, 2009 and 2013, landscape pattern analysis and Vigor-Organization-Resilience (VOR) model were applied to set up an
evaluation index system of ecosystem health of mining city to assess the healthy level of ecosystem in Panji District Huainan city.
Results showed a temporal stable but high spatial heterogeneity landscape pattern during 2005–2013. According to the regional
ecosystem health index, it experienced a rapid decline after a slight increase, and finally it maintained at an ordinary level. Among
these areas, a significant distinction was presented in different towns. It indicates that the ecosystem health of Tianjijiedao town, the
regional administrative centre, descended rapidly during the study period, and turned into the worst level in the study area. While the
Hetuan Town, located in the northwestern suburb area of Panji District, stayed on a relatively better level than other towns. The
impacts of coal mining collapse area, land reclamation on the landscape pattern and ecosystem health status of mining cities were
also discussed. As a result of underground coal mining, land subsidence has become an inevitable problem in the study area. In
addition, the coal mining subsidence area has brought about the destruction of the farmland, construction land and water bodies,
which causing the change of the regional landscape pattern and making the evaluation of ecosystem health in mining area more
difficult. Therefore, this study provided an ecosystem health approach for relevant departments to make scientific decisions. |
| first_indexed | 2024-12-14T17:39:06Z |
| format | Article |
| id | doaj.art-ed0e0f451508449a9d719d76664e2f31 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-14T17:39:06Z |
| publishDate | 2017-09-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-ed0e0f451508449a9d719d76664e2f312022-12-21T22:52:53ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342017-09-01XLII-2-W71427143510.5194/isprs-archives-XLII-2-W7-1427-2017ECOSYSTEM HEALTH ASSESSMENT OF MINING CITIES BASED ON LANDSCAPE PATTERNW. Yu0Y. Liu1M. Lin2F. Fang3R. Xiao4School of Remote Sensing and Information Engineering, Wuhan University, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, ChinaSchool of Resource and Environmental Sciences, Wuhan University, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, ChinaEcosystem health assessment (EHA) is one of the most important aspects in ecosystem management. Nowadays, ecological environment of mining cities is facing various problems. In this study, through ecosystem health theory and remote sensing images in 2005, 2009 and 2013, landscape pattern analysis and Vigor-Organization-Resilience (VOR) model were applied to set up an evaluation index system of ecosystem health of mining city to assess the healthy level of ecosystem in Panji District Huainan city. Results showed a temporal stable but high spatial heterogeneity landscape pattern during 2005–2013. According to the regional ecosystem health index, it experienced a rapid decline after a slight increase, and finally it maintained at an ordinary level. Among these areas, a significant distinction was presented in different towns. It indicates that the ecosystem health of Tianjijiedao town, the regional administrative centre, descended rapidly during the study period, and turned into the worst level in the study area. While the Hetuan Town, located in the northwestern suburb area of Panji District, stayed on a relatively better level than other towns. The impacts of coal mining collapse area, land reclamation on the landscape pattern and ecosystem health status of mining cities were also discussed. As a result of underground coal mining, land subsidence has become an inevitable problem in the study area. In addition, the coal mining subsidence area has brought about the destruction of the farmland, construction land and water bodies, which causing the change of the regional landscape pattern and making the evaluation of ecosystem health in mining area more difficult. Therefore, this study provided an ecosystem health approach for relevant departments to make scientific decisions.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/1427/2017/isprs-archives-XLII-2-W7-1427-2017.pdf |
| spellingShingle | W. Yu Y. Liu M. Lin F. Fang R. Xiao ECOSYSTEM HEALTH ASSESSMENT OF MINING CITIES BASED ON LANDSCAPE PATTERN The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | ECOSYSTEM HEALTH ASSESSMENT OF MINING CITIES BASED ON
LANDSCAPE PATTERN |
| title_full | ECOSYSTEM HEALTH ASSESSMENT OF MINING CITIES BASED ON
LANDSCAPE PATTERN |
| title_fullStr | ECOSYSTEM HEALTH ASSESSMENT OF MINING CITIES BASED ON
LANDSCAPE PATTERN |
| title_full_unstemmed | ECOSYSTEM HEALTH ASSESSMENT OF MINING CITIES BASED ON
LANDSCAPE PATTERN |
| title_short | ECOSYSTEM HEALTH ASSESSMENT OF MINING CITIES BASED ON
LANDSCAPE PATTERN |
| title_sort | ecosystem health assessment of mining cities based on landscape pattern |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/1427/2017/isprs-archives-XLII-2-W7-1427-2017.pdf |
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