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Response of ecological storage and conservation to land use transformation: A case study of a mining town in China

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Title: Response of ecological storage and conservation to land use transformation: A case study of a mining town in China
Authors: Zhang, Jianjun1,2 zjj_19825@yahoo.com.cn, Fu, Meichen1 fumeichen@163.com, Tao, Jin1, Huang, Ying1, Hassani, Ferri P.2, Bai, Zhongke1
Source: Ecological Modelling. May2010, Vol. 221 Issue 10, p1427-1439. 13p.
Subjects: Land use, Ecological economics, Mineral industries
Geographic Terms: China
Abstract: Rapid land use transformation shaped by agriculture, industrialization and population urbanization has a great influence on ecological environment. Based on theory of ecosystem service functions, this study aims at revealing the response of ecological storage and conservation to each unit area of land use transformation. Taking Cishan Town, a mining town in China, as a case study, this paper estimates the “past-present-future” ecological storage impacted by the process, result and possibility of land use transformation. The local land use and industrial distribution show that the active areas of land use transformation are also the areas of concentration of human (industrial) activities. Ecological storage shows the different responses to land use ways. And then this study combines the ecological storage indices with the indices of ecosystem pattern and land condition into the“5A” framework (active state, active degree, active possibility, active balance and active condition) for grading ecological conservation, and then assigns all regions of Cishan Town into different grades through membership functions for complex mapping of ecological conservation. The research results show that the ecological conservation in Cishan goes toward two extreme grades (best grade and worst grade). Uneven and unbalanced land use transformation is the main cause of that. Hence, rational and timely reflection of impact of land use transformation on ecological storage and conservation can assist land use planners and local government in adjusting land use ways and balancing regional ecology and economy. [Copyright &y& Elsevier]
Copyright of Ecological Modelling is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: Response of ecological storage and conservation to land use transformation: A case study of a mining town in China
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Jianjun%22">Zhang, Jianjun</searchLink><relatesTo>1,2</relatesTo><i> zjj_19825@yahoo.com.cn</i><br /><searchLink fieldCode="AR" term="%22Fu%2C+Meichen%22">Fu, Meichen</searchLink><relatesTo>1</relatesTo><i> fumeichen@163.com</i><br /><searchLink fieldCode="AR" term="%22Tao%2C+Jin%22">Tao, Jin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Huang%2C+Ying%22">Huang, Ying</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Hassani%2C+Ferri+P%2E%22">Hassani, Ferri P.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Bai%2C+Zhongke%22">Bai, Zhongke</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Ecological+Modelling%22">Ecological Modelling</searchLink>. May2010, Vol. 221 Issue 10, p1427-1439. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Land+use%22">Land use</searchLink><br /><searchLink fieldCode="DE" term="%22Ecological+economics%22">Ecological economics</searchLink><br /><searchLink fieldCode="DE" term="%22Mineral+industries%22">Mineral industries</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Rapid land use transformation shaped by agriculture, industrialization and population urbanization has a great influence on ecological environment. Based on theory of ecosystem service functions, this study aims at revealing the response of ecological storage and conservation to each unit area of land use transformation. Taking Cishan Town, a mining town in China, as a case study, this paper estimates the “past-present-future” ecological storage impacted by the process, result and possibility of land use transformation. The local land use and industrial distribution show that the active areas of land use transformation are also the areas of concentration of human (industrial) activities. Ecological storage shows the different responses to land use ways. And then this study combines the ecological storage indices with the indices of ecosystem pattern and land condition into the“5A” framework (active state, active degree, active possibility, active balance and active condition) for grading ecological conservation, and then assigns all regions of Cishan Town into different grades through membership functions for complex mapping of ecological conservation. The research results show that the ecological conservation in Cishan goes toward two extreme grades (best grade and worst grade). Uneven and unbalanced land use transformation is the main cause of that. Hence, rational and timely reflection of impact of land use transformation on ecological storage and conservation can assist land use planners and local government in adjusting land use ways and balancing regional ecology and economy. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Ecological Modelling is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Mineral industries
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              Text: May2010
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