Analysis of Farmers' Perceptions of Climate Changes and Adaptation Strategies in the Transboundary Gandaki River Basin
文献类型:期刊论文
作者 | Rai, Raju1; Zhang, Yili1,2; Paudel, Basanta2; Yan, Jianzhong4; Khanal, Narendra Raj2 |
刊名 | LAND |
出版日期 | 2023-11-01 |
卷号 | 12期号:11页码:2054 |
关键词 | farmers' perceptions climate change binary logistic regression Gandaki River Basin |
DOI | 10.3390/land12112054 |
产权排序 | 1 |
文献子类 | Article |
英文摘要 | Global climate change poses many adverse impacts and risks, which affect the livelihoods of local farmers. This study has assessed farmers' perceptions of climate changes and adaptation strategies in the transboundary Gandaki River Basin (GRB). A total of 639 households were surveyed purposively from different physiographic regions, ranging from the lowland plain to the high Mountain region of the GRB. These surveyed perceptions were analyzed using a binary logistic regression (BLR) model. The results show that the significant variables determining the climate change perceptions are family size (p = 0.004), total number of livestock owned by the household (p = 0.000), availability of irrigation facility (p = 0.000), temperature change (p = 0.007), precipitation change (p = 0.000), and household head's age (p = 0.044), education level (p = 0.000), and profession (p = 0.003). The results were also analyzed by physiographic region. Farmers in the Mountain region perceived the household head's education (p = 0.008) and profession (p = 0.009), precipitation change (p = 0.028), climate-induced disease/pests (p = 0.042), and impact on vegetation (p = 0.044) as significant variables. Significant variables in the Hill region were found to include the household head's education (p = 0.029) and profession (p = 0.043), lack of irrigation facility (p = 0.029), precipitation change (p = 0.018), increased drought (p = 0.018), and decreased agricultural production (p = 0.025). Similarly, farmers in the Tarai region noticed the lack of irrigation facility (p = 0.011), temperature change (p = 0.042), precipitation change (p = 0.017), impact on stable crops (p = 0.043), and decreased agricultural production as important variables. Likewise, in the Gangetic Plain (GP) region, the household head's education (p = 0.010), total number of livestock (p = 0.037), lack of irrigation facility (p = 0.006), precipitation change (p = 0.003), increased drought (p = 0.002), and decreased agricultural production (p = 0.001) were found to be significant variables. The determinant factors vary between the different regions due to the geography and overall socio-economic factors of the respondent. Combining the scientific data with the farmers' perceptions may help to clarify how climate change affects the farmers' perceptions and adaptation strategies to better enhance their livelihood. |
WOS关键词 | NEPAL ; IMPACT ; WATER ; VULNERABILITY ; DETERMINANTS ; AGRICULTURE ; COMMUNITIES ; VARIABILITY ; SCARCITY ; HIMALAYA |
WOS研究方向 | Environmental Sciences & Ecology |
出版者 | MDPI |
WOS记录号 | WOS:001120705600001 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/201013] |
专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
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.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Southwest Univ, Coll Resources & Environm, Chongqing 400716, Peoples R China 4.Tribhuvan Univ, Chinese Acad Sci, Kathmandu Ctr Res & Educ, Kathmandu 44613, Nepal |
推荐引用方式 GB/T 7714 | Rai, Raju,Zhang, Yili,Paudel, Basanta,et al. Analysis of Farmers' Perceptions of Climate Changes and Adaptation Strategies in the Transboundary Gandaki River Basin[J]. LAND,2023,12(11):2054. |
APA | Rai, Raju,Zhang, Yili,Paudel, Basanta,Yan, Jianzhong,&Khanal, Narendra Raj.(2023).Analysis of Farmers' Perceptions of Climate Changes and Adaptation Strategies in the Transboundary Gandaki River Basin.LAND,12(11),2054. |
MLA | Rai, Raju,et al."Analysis of Farmers' Perceptions of Climate Changes and Adaptation Strategies in the Transboundary Gandaki River Basin".LAND 12.11(2023):2054. |
入库方式: OAI收割
来源:地理科学与资源研究所
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