Cargando…

Exploring an Ecologically Sustainable Scheme for Landscape Restoration of Abandoned Mine Land: Scenario-Based Simulation Integrated Linear Programming and CLUE-S Model

Understanding abandoned mine land (AML) changes during land reclamation is crucial for reusing damaged land resources and formulating sound ecological restoration policies. This study combines the linear programming (LP) model and the CLUE-S model to simulate land-use dynamics in the Mentougou Distr...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Liping, Zhang, Shiwen, Huang, Yajie, Cao, Meng, Huang, Yuanfang, Zhang, Hongyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847016/
https://www.ncbi.nlm.nih.gov/pubmed/27023575
http://dx.doi.org/10.3390/ijerph13040354
_version_ 1782429128849358848
author Zhang, Liping
Zhang, Shiwen
Huang, Yajie
Cao, Meng
Huang, Yuanfang
Zhang, Hongyan
author_facet Zhang, Liping
Zhang, Shiwen
Huang, Yajie
Cao, Meng
Huang, Yuanfang
Zhang, Hongyan
author_sort Zhang, Liping
collection PubMed
description Understanding abandoned mine land (AML) changes during land reclamation is crucial for reusing damaged land resources and formulating sound ecological restoration policies. This study combines the linear programming (LP) model and the CLUE-S model to simulate land-use dynamics in the Mentougou District (Beijing, China) from 2007 to 2020 under three reclamation scenarios, that is, the planning scenario based on the general land-use plan in study area (scenario 1), maximal comprehensive benefits (scenario 2), and maximal ecosystem service value (scenario 3). Nine landscape-scale graph metrics were then selected to describe the landscape characteristics. The results show that the coupled model presented can simulate the dynamics of AML effectively and the spatially explicit transformations of AML were different. New cultivated land dominates in scenario 1, while construction land and forest land account for major percentages in scenarios 2 and 3, respectively. Scenario 3 has an advantage in most of the selected indices as the patches combined most closely. To conclude, reclaiming AML by transformation into more forest can reduce the variability and maintain the stability of the landscape ecological system in study area. These findings contribute to better mapping AML dynamics and providing policy support for the management of AML.
format Online
Article
Text
id pubmed-4847016
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-48470162016-05-04 Exploring an Ecologically Sustainable Scheme for Landscape Restoration of Abandoned Mine Land: Scenario-Based Simulation Integrated Linear Programming and CLUE-S Model Zhang, Liping Zhang, Shiwen Huang, Yajie Cao, Meng Huang, Yuanfang Zhang, Hongyan Int J Environ Res Public Health Article Understanding abandoned mine land (AML) changes during land reclamation is crucial for reusing damaged land resources and formulating sound ecological restoration policies. This study combines the linear programming (LP) model and the CLUE-S model to simulate land-use dynamics in the Mentougou District (Beijing, China) from 2007 to 2020 under three reclamation scenarios, that is, the planning scenario based on the general land-use plan in study area (scenario 1), maximal comprehensive benefits (scenario 2), and maximal ecosystem service value (scenario 3). Nine landscape-scale graph metrics were then selected to describe the landscape characteristics. The results show that the coupled model presented can simulate the dynamics of AML effectively and the spatially explicit transformations of AML were different. New cultivated land dominates in scenario 1, while construction land and forest land account for major percentages in scenarios 2 and 3, respectively. Scenario 3 has an advantage in most of the selected indices as the patches combined most closely. To conclude, reclaiming AML by transformation into more forest can reduce the variability and maintain the stability of the landscape ecological system in study area. These findings contribute to better mapping AML dynamics and providing policy support for the management of AML. MDPI 2016-03-24 2016-04 /pmc/articles/PMC4847016/ /pubmed/27023575 http://dx.doi.org/10.3390/ijerph13040354 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Liping
Zhang, Shiwen
Huang, Yajie
Cao, Meng
Huang, Yuanfang
Zhang, Hongyan
Exploring an Ecologically Sustainable Scheme for Landscape Restoration of Abandoned Mine Land: Scenario-Based Simulation Integrated Linear Programming and CLUE-S Model
title Exploring an Ecologically Sustainable Scheme for Landscape Restoration of Abandoned Mine Land: Scenario-Based Simulation Integrated Linear Programming and CLUE-S Model
title_full Exploring an Ecologically Sustainable Scheme for Landscape Restoration of Abandoned Mine Land: Scenario-Based Simulation Integrated Linear Programming and CLUE-S Model
title_fullStr Exploring an Ecologically Sustainable Scheme for Landscape Restoration of Abandoned Mine Land: Scenario-Based Simulation Integrated Linear Programming and CLUE-S Model
title_full_unstemmed Exploring an Ecologically Sustainable Scheme for Landscape Restoration of Abandoned Mine Land: Scenario-Based Simulation Integrated Linear Programming and CLUE-S Model
title_short Exploring an Ecologically Sustainable Scheme for Landscape Restoration of Abandoned Mine Land: Scenario-Based Simulation Integrated Linear Programming and CLUE-S Model
title_sort exploring an ecologically sustainable scheme for landscape restoration of abandoned mine land: scenario-based simulation integrated linear programming and clue-s model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847016/
https://www.ncbi.nlm.nih.gov/pubmed/27023575
http://dx.doi.org/10.3390/ijerph13040354
work_keys_str_mv AT zhangliping exploringanecologicallysustainableschemeforlandscaperestorationofabandonedminelandscenariobasedsimulationintegratedlinearprogrammingandcluesmodel
AT zhangshiwen exploringanecologicallysustainableschemeforlandscaperestorationofabandonedminelandscenariobasedsimulationintegratedlinearprogrammingandcluesmodel
AT huangyajie exploringanecologicallysustainableschemeforlandscaperestorationofabandonedminelandscenariobasedsimulationintegratedlinearprogrammingandcluesmodel
AT caomeng exploringanecologicallysustainableschemeforlandscaperestorationofabandonedminelandscenariobasedsimulationintegratedlinearprogrammingandcluesmodel
AT huangyuanfang exploringanecologicallysustainableschemeforlandscaperestorationofabandonedminelandscenariobasedsimulationintegratedlinearprogrammingandcluesmodel
AT zhanghongyan exploringanecologicallysustainableschemeforlandscaperestorationofabandonedminelandscenariobasedsimulationintegratedlinearprogrammingandcluesmodel