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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 专题：成都山地灾害与环境研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A New Approach for Multifunctional Zoning of Territorial Space: The Panxi Area of the Upper Yangtze River in China Case Study 期刊论文 SUSTAINABILITY, 2019, 卷号: 11, 期号: 8, 页码: 19 作者:  Zhang, Jifei;  Liu, Chunyan;  Chang, Fei 收藏  |  浏览/下载：54/0  |  提交时间：2019/06/24 territorial space  functional significance  niche model  integrated multifunctional zoning scheme  spatial planning  Panxi Area   Geographical Dynamics of Poverty in Nepal between 2005 and 2011: Where and How? 期刊论文 SUSTAINABILITY, 2018, 卷号: 10, 期号: 6, 页码: 24 作者:  Zhang, Jifei;  Liu, Chunyan;  Hutton, Craig;  Koirala, Hriday Lal 收藏  |  浏览/下载：13/0  |  提交时间：2018/09/29 unidimensional poverty (UP)  geographical dynamics  Foster-Greer-Thorbecke (FGT)  Nepal   Responses in Nepal: An Overview Spatial Features of Poverty and Economic-Impoverished Types in Nepal 专著章节文集论文 出自: LAND COVER CHANGE AND ITS ECO-ENVIRONMENTAL RESPONSES IN NEPAL, Singapore:SPRINGER, 2017, 页码: 263-279 作者:  Zhang Jifei;  Liu Chunyan;  Deng Wei;  Koirala Hriday Lal;  Khanal Narendra Raj 收藏  |  浏览/下载：21/0  |  提交时间：2020/01/02 Poverty  Spatial features  Differentiation  Mountain region  Nepal   Geographical space development zone classification: An essential guide for transformation of mountain resource cities 期刊论文 CHINESE GEOGRAPHICAL SCIENCE, 2015, 卷号: 25, 期号: 3, 页码: 361-374 作者:  Zhang Jifei;  Deng Wei;  Liu Shaoquan 收藏  |  浏览/下载：18/0  |  提交时间：2015/07/06 geographical space development suitability  mountain resource city  transformation of resource cities   Household Livelihood Strategies and Dependence on Agriculture in the Mountainous Settlements in the Three Gorges Reservoir Area, China 期刊论文 SUSTAINABILITY, 2015, 卷号: 7, 期号: 5, 页码: 4850-4869 作者:  Xu, Dingde;  Zhang, Jifei;  Rasul, Golam;  Liu, Shaoquan;  Xie, Fangting 收藏  |  浏览/下载：32/0  |  提交时间：2015/08/03 farmers' sustainable livelihood  agricultural collection  ordinal logistic regression model  rural households  China