Identification and apportionment of the drivers of land use change on a regional scale: Unbiased recursive partitioning-based stochastic model application
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- 作者：Qi Wang1 ; a ; jenniferqi520@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Qingfu Ren1 ; b ; c ; Jianfeng Liud
- 关键词：Land use change ; Driver ; Conditional inference tree ; Random forest ; Stochastic model ; Regional scale
- 刊名：Agriculture, Ecosystems & Environment
- 出版年：2016
- 出版时间：1 February 2016
- 年：2016
- 卷：217
- 期：Complete
- 页码：99-110
- 全文大小：3311 K
文摘
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A unbiased recursive partitioning-based framework including CIT and RF is developed.
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The drivers of land use change at a regional scale are identified and apportioned.
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Models show strong suitability in assessing the drivers of land use change.
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Socioeconomic factors contribute the most to the land use change in our case.