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Spatially differentiated trends in urbanization, agricultural land abandonment and reclamation, and woodland recovery in Northern China
Uncovering magnitude, trend, and spatial pattern of land cover/land use changes (LCLUC) is crucial for understanding mechanisms of LCLUC and assisting land use planning and conservation. China has been undergoing unprecedented economic growth, massive rural-to-urban migration, and large-scale policy...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5118683/ https://www.ncbi.nlm.nih.gov/pubmed/27874092 http://dx.doi.org/10.1038/srep37658 |
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author | Wang, Chao Gao, Qiong Wang, Xian Yu, Mei |
author_facet | Wang, Chao Gao, Qiong Wang, Xian Yu, Mei |
author_sort | Wang, Chao |
collection | PubMed |
description | Uncovering magnitude, trend, and spatial pattern of land cover/land use changes (LCLUC) is crucial for understanding mechanisms of LCLUC and assisting land use planning and conservation. China has been undergoing unprecedented economic growth, massive rural-to-urban migration, and large-scale policy-driven ecological restoration, and therefore encountering enormous LCLUC in recent decades. However, comprehensive understandings of spatiotemporal LCLUC dynamics and underlying mechanisms are still lacking. Based on classification of annual LCLU maps from MODIS satellite imagery, we proposed a land change detection method to capture significant land change hotspots over Northern China during 2001–2013, and further analyzed temporal trends and spatial patterns of LCLUC. We found rapid decline of agricultural land near urban was predominantly caused by urban expansion. The process was especially strong in North China Plain with 14,057 km(2) of urban gain and −21,017 km(2) of agricultural land loss. To offset the loss of agricultural land, Northeast China Plain and Xinjiang were reclaimed. Substantial recovery of forests (49,908 km(2)) and closed shrubland (60,854 km(2)) occurred in mountainous regions due to abandoned infertile farmland, secondary succession, and governmental conservation policies. The spatial patterns and trends of LCLUC in Northern China provide information to support effective environmental policies towards sustainable development. |
format | Online Article Text |
id | pubmed-5118683 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-51186832016-11-28 Spatially differentiated trends in urbanization, agricultural land abandonment and reclamation, and woodland recovery in Northern China Wang, Chao Gao, Qiong Wang, Xian Yu, Mei Sci Rep Article Uncovering magnitude, trend, and spatial pattern of land cover/land use changes (LCLUC) is crucial for understanding mechanisms of LCLUC and assisting land use planning and conservation. China has been undergoing unprecedented economic growth, massive rural-to-urban migration, and large-scale policy-driven ecological restoration, and therefore encountering enormous LCLUC in recent decades. However, comprehensive understandings of spatiotemporal LCLUC dynamics and underlying mechanisms are still lacking. Based on classification of annual LCLU maps from MODIS satellite imagery, we proposed a land change detection method to capture significant land change hotspots over Northern China during 2001–2013, and further analyzed temporal trends and spatial patterns of LCLUC. We found rapid decline of agricultural land near urban was predominantly caused by urban expansion. The process was especially strong in North China Plain with 14,057 km(2) of urban gain and −21,017 km(2) of agricultural land loss. To offset the loss of agricultural land, Northeast China Plain and Xinjiang were reclaimed. Substantial recovery of forests (49,908 km(2)) and closed shrubland (60,854 km(2)) occurred in mountainous regions due to abandoned infertile farmland, secondary succession, and governmental conservation policies. The spatial patterns and trends of LCLUC in Northern China provide information to support effective environmental policies towards sustainable development. Nature Publishing Group 2016-11-22 /pmc/articles/PMC5118683/ /pubmed/27874092 http://dx.doi.org/10.1038/srep37658 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Wang, Chao Gao, Qiong Wang, Xian Yu, Mei Spatially differentiated trends in urbanization, agricultural land abandonment and reclamation, and woodland recovery in Northern China |
title | Spatially differentiated trends in urbanization, agricultural land abandonment and reclamation, and woodland recovery in Northern China |
title_full | Spatially differentiated trends in urbanization, agricultural land abandonment and reclamation, and woodland recovery in Northern China |
title_fullStr | Spatially differentiated trends in urbanization, agricultural land abandonment and reclamation, and woodland recovery in Northern China |
title_full_unstemmed | Spatially differentiated trends in urbanization, agricultural land abandonment and reclamation, and woodland recovery in Northern China |
title_short | Spatially differentiated trends in urbanization, agricultural land abandonment and reclamation, and woodland recovery in Northern China |
title_sort | spatially differentiated trends in urbanization, agricultural land abandonment and reclamation, and woodland recovery in northern china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5118683/ https://www.ncbi.nlm.nih.gov/pubmed/27874092 http://dx.doi.org/10.1038/srep37658 |
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