부산대학교 도서관

Keywords: Climate change; Farmers' perception; Logistic regression; Adaptation strategies; Nepal Abstract Climate change affects the livelihood of farmers in a variety of ways. Farmers' indigenous knowledge influences their perception of climate-related issues. A perception-based, semi-structured questionnaire survey of 530 households was performed to gather information about the awareness of, indicators for, and determinants of climate change. The survey covered three ecological regions of Nepal. The statistical analysis was done with a chi-square ([chi].sup.2) test and a binary logistic regression (BLR) model to screen farmers' perception of climate change. This study shows that socio-economic and agricultural characteristics of the farmers directly influence their perception of climate change. Farmers have identified climate change indicators in various forms, e.g., an increase in temperature (99.2% of those surveyed), a decrease in precipitation (98.9%), and an increase in climate-induced diseases and pests (96.8%) for agricultural crops. Observed precipitation (- 16.093 mm/year p = 0.055) and temperature (0.0539 [degrees]C/year p = 0.007) between 2000 and 2015 are both consistent with farmers' perception. The selected independent variables are significantly correlated with the dependent variables, as confirmed by the BLR model, where [chi].sup.2 = 83 with p = 0.002. The BLR shows there is a strong relationship between farmers' perception of climate change and the group of descriptive variables, with a coefficient of determination of 85%. The biophysical characteristics and impact variables were the most important determinants. It is important that organizations and policymakers in Nepal develop adaptation strategies that improve the livelihoods of farmers. These strategies include introducing drought-tolerant crops, developing disease- and pest-tolerant seeds, constructing irrigation systems, and building hospitals. Author Affiliation: (1) Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China (2) CAS Center for Excellence in Tibetan Plateau Earth Sciences, 100101, Beijing, China (3) Kathmandu Center for Research and Education, Chinese Academy of Sciences - Tribhuvan University, Kirtipur, Kathmandu, Nepal (4) University of Chinese Academy of Sciences, 100049, Beijing, China (5) College of Resources and Environment, Southwest University, 400716, Chongqing, China (6) Central Department of Geography, Tribhuvan University, Kirtipur, Kathmandu, Nepal (b) zhangyl@igsnrr.ac.cn Article History: Registration Date: 11/12/2019 Received Date: 03/12/2019 Accepted Date: 11/11/2019 Online Date: 12/02/2019 Byline: Basanta Paudel (1, 2, 3), Yili Zhang (corresponding author) (1, 2, 3, 4, b), Jianzhong Yan (5), Raju Rai (1, 4), Lanhui Li (1, 4), Xue Wu (1), Prem Sagar Chapagain (6), Narendra Raj Khanal (1)