Your search found 4 records
1 Yan, J.; Smith, K. R. 1994. Simulation of integrated surface water and ground water systems-model formulation. Water Resources Bulletin, 30(5):879-890.
(Location: IWMI-HQ Call no: PER Record No: H015977)
(0.19 MB)
2 Heilig, G.; Reidinger, R.; Yang, X.; Yan, J.; Hu, Y. 2000. Water eco-development strategies in China. In Wang, R.; Ren, H.; Ouyang, Z. (Eds.), China water vision: The eco-sphere of water, life, environment and development. Beijing, China: China Meteorological Press. pp.125-163.
Water shortage ; Water deficit ; Precipitation ; Population ; River basins ; Siltation ; Irrigation efficiency ; Evapotranspiration ; Irrigated farming ; Water resource management ; Strategy planning / China
(Location: IWMI-HQ Call no: 333.91 G592 WAN Record No: H026837)
3 Paudel, B.; Zhang, Y.; Yan, J.; Rai, R.; Li, L.; Wu, X.; Chapagain, P. S.; Khanal, N. R. 2020. Farmers’ understanding of climate change in Nepal Himalayas: important determinants and implications for developing adaptation strategies. Climatic Change, 158(3-4):485-502. [doi: https://doi.org/10.1007/s10584-019-02607-2]
Climate change adaptation ; Strategies ; Farmers attitudes ; Agricultural practices ; Crops ; Socioeconomic environment ; Households ; Communities ; Living standards ; Indicators ; Highlands ; Mountains / Nepal / Himalayas
(Location: IWMI HQ Call no: e-copy only Record No: H049582)
(0.78 MB)
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 ( 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 °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 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.
4 Huang, Q.; Yin, D.; He, C.; Yan, J.; Liu, Z.; Meng. S.; Ren, Q.; Zhao, R.; Inostroza, L. 2020. Linking ecosystem services and subjective well-being in rapidly urbanizing watersheds: insights from a multilevel linear model. Ecosystem Services, 43:101106. (Online first) [doi: https://doi.org/10.1016/j.ecoser.2020.101106]
Ecosystem services ; Assessment ; Watersheds ; Socioeconomic environment ; Urbanization ; Rural communities ; Sustainability ; Regional planning ; Hygroscopicity ; Carbon sequestration ; Ecological factors ; Linear models / China / Hebei / Baiyangdian Watershed
(Location: IWMI HQ Call no: e-copy only Record No: H049673)
(0.84 MB)
In rapidly urbanizing watersheds with conflicts between socioeconomic development and ecological protection, understanding the relationship between ecosystem services (ESs) and human well-being is important for regional sustainability. However, quantifying their relationship over multiple scales remains challenging. We selected a typical rapidly urbanizing watershed, the Baiyangdian watershed in China, and used surveys and a multilevel linear model to analyze the influence of regional ESs and individual characteristics on subjective well-being (SWB). Our results showed that the multilevel linear model could effectively capture the influences of regional ESs on the residents’ SWB. For the watershed, 95.9% of the total variance in the residents’ SWB was attributed to variation between individuals, and the remaining 4.1% was attributed to variation between regions. The SWB of rural residents was more likely to be affected by regional ESs than urban residents. In the Baiyangdian watershed, which has a water supply shortage, the SWB of low-income and elderly residents in the rural areas was more sensitive to water retention services, and the association was significant. The results suggest that in rapidly urbanizing watersheds, government should pay attention to maintaining and improving key regulating services to effectively maintain and promote the SWB of rural residents and regional sustainability.
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