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Farmland abandonment and its determinants in the different ecological villages of the Koshi river basin, central Himalayas: Synergy of high-resolution remote sensing and social surveys

文献类型：期刊论文

作者Paudel, Basanta1,2,3; Wu, Xue1; Zhang, Yili1,2,3,4; Rai, Raju1,4; Liu, Linshan1; Zhang, Binghua1,4; Khanal, Narendra Raj1; Koirala, Hriday Lal5; Nepal, Pashupati5
刊名ENVIRONMENTAL RESEARCH
出版日期2020-09-01
卷号188页码:12
关键词Farmland abandonment Driving factors UAV Policy Koshi river basin
ISSN号0013-9351
DOI10.1016/j.envres.2020.109711
通讯作者Zhang, Yili(zhangyl@igsnrr.ac.cn)
英文摘要Globally, there is a noticeable increasing trend in farmland abandonment, which directly affects farmers' livelihood and food security. The abandonment status, its determinants and impact vary by spatial and socioeconomic context. In order to study this important issue, we selected three different villages representing three ecological regions (Mountain, Hill, and Tarai) in the Koshi River Basin (KRB), and applied two methods: the Unmanned Aerial Vehicle (UAV) and a social survey. The UAV captured 3711 images and we carried out 162 households' survey with structured questionnaires. Pix4Dmapper and ArcGIS tools were used for combining and processing the images. On-screen digitalization and binary logistic regression (BLR) were applied to examine the status and determinants of farmland abandonment. The results show a higher proportion of farmland abandonment in the villages located in the Hill and Mountain regions compared to those in the Tarai region. Almost 10.3% area of total land and 22.3% area of total farmland was abandoned in the Hill village. The Tarai village had the least farm abandonment (3.7%). Farmers perceived that climate change (less precipitation, increasing temperatures, and drought), shifting occupations, crops damaged by wildlife, migration, lack of irrigation, and a labor shortage are the leading determinants of farmland abandonment. These factors varied slightly across the different ecological regions. The BLR model was a good fit with Nagelkerke's R-2 = 0.776, with a correct model prediction (87.7%) and p = 0.032. The results from the regression model suggest that an increase in temperature (p = 0.000), decrease in rainfall (p = 0.001), lack of machinery used for farm-work (p = 0.000), lack of irrigation (p = 0.000), and reduction of labor-force (p = 0.000) are the main contributing determinants of farmland abandonment. This synergy of high-resolution remote sensing and farmers' perception-based findings facilitates the improvement of land-use governmental policies to improve farmers' quality of life and build sustainable farmland management.
WOS关键词AGRICULTURAL LAND ABANDONMENT ; CROPLAND ABANDONMENT ; CLIMATE-CHANGE ; MOUNTAINOUS AREAS ; NEPAL ; DRIVERS ; EUROPE ; RECULTIVATION ; CONSEQUENCES ; MANAGEMENT
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20040000] ; Second Tibetan Plateau Scientific Expedition and Research[2019QZKK0600] ; National Natural Science Foundation of China[41761144081] ; Chinese Academy of Sciences President's International Fellowship Initiative[2018PC0030]
WOS研究方向Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
语种英语
WOS记录号WOS:000564655700006
出版者ACADEMIC PRESS INC ELSEVIER SCIENCE
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; Second Tibetan Plateau Scientific Expedition and Research ; National Natural Science Foundation of China ; Chinese Academy of Sciences President's International Fellowship Initiative
源URL[http://ir.igsnrr.ac.cn/handle/311030/157910]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, Yili
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
2.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China
3.Tribhuvan Univ, Kathmandu Ctr Res & Educ, Chinese Acad Sci, Kathmandu, Nepal
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Tribhuvan Univ, Cent Dept Geog, Kathmandu, Nepal
推荐引用方式
GB/T 7714		 Paudel, Basanta,Wu, Xue,Zhang, Yili,et al. Farmland abandonment and its determinants in the different ecological villages of the Koshi river basin, central Himalayas: Synergy of high-resolution remote sensing and social surveys[J]. ENVIRONMENTAL RESEARCH,2020,188:12.
APA Paudel, Basanta.,Wu, Xue.,Zhang, Yili.,Rai, Raju.,Liu, Linshan.,...&Nepal, Pashupati.(2020).Farmland abandonment and its determinants in the different ecological villages of the Koshi river basin, central Himalayas: Synergy of high-resolution remote sensing and social surveys.ENVIRONMENTAL RESEARCH,188,12.
MLA Paudel, Basanta,et al."Farmland abandonment and its determinants in the different ecological villages of the Koshi river basin, central Himalayas: Synergy of high-resolution remote sensing and social surveys".ENVIRONMENTAL RESEARCH 188(2020):12.

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