Spatiotemporal Patterns and Drivers of Forest Change from 1985-2000 in the Beijing-Tianjin-Hebei Region of China

doi:10.5814/j.issn.1674-764x.2016.04.009

Journal of Resources and Ecology ›› 2016, Vol. 7 ›› Issue (4): 301-308.DOI: 10.5814/j.issn.1674-764x.2016.04.009

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Spatiotemporal Patterns and Drivers of Forest Change from 1985-2000 in the Beijing-Tianjin-Hebei Region of China

XIE Xue¹, XIE Hualin^{2, *}, Fan Yuanhua³

1 School of Tourism and City Management, Jiangxi University of Finance and Economics, Nanchang 330032, China;
2 Co-innovation Center of Institutional Construction for Jiangxi Eco-civilization, Jiangxi University of Finance and Economics, Nanchang 330032, China;
3 Land Development and Consolidation Center of Jiangxi Province, Nanchang 330025, China

Received:2016-04-22 Online:2016-07-25 Published:2016-07-25
Contact: XIE Hualin.
Supported by:
National Natural Science Foundation of China (41361111), the Natural Science Foundation of Jiangxi Province (20143ACB21023), the Fok Ying Tung Foundation (141084), the Technology Foundation of Jiangxi, Education Department of China (KJLD14033) and the Key project of Social Science Foundation of Jiangxi Province (15ZQZD10)

Abstract

Abstract: Forests are fundamental to maintaining ecological security and achieving regional sustainable development in China. Forest land change can result in many ecological problems including soil erosion, water shortages, drought and biodiversity loss. Based on landscape ecology and logistic regression we explored the spatiotemporal patterns and factors affecting forest land changes from 1985 to 2000 in the Beijing-Tianjin-Hebei Region of China. The results show decreased local fragmentation of woodland landscapes and that the shapes of forest patches have become more regular. For forest land cover change, soil organic matter content, slope type I (<5°), distance to the nearest village and per capita GDP were the most important independent variables from 1985 to 2000. This study indicates that spatial heterogeneity can affect the predictability of logistic regression models for forest land change.

Key words: ecological security, forest land, forest management, Land Use/land Coverage Change (LUCC), Logistic regression model

XIE Xue, XIE Hualin, Fan Yuanhua. Spatiotemporal Patterns and Drivers of Forest Change from 1985-2000 in the Beijing-Tianjin-Hebei Region of China[J]. Journal of Resources and Ecology, 2016, 7(4): 301-308.

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Spatiotemporal Patterns and Drivers of Forest Change from 1985-2000 in the Beijing-Tianjin-Hebei Region of China

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