Your search found 4 records
1 Parkes, M.; Jian, W.; Knowles, R. 2005. Irrigation scheduling measurements and predictions in Shaanxi, North-West China. Journal of Applied Irrigation Science, 40(2):259-285.
Irrigation scheduling ; Measurement ; Lysimetry ; Water use efficiency ; Cereals ; Horticulture ; Soil water ; Water loss ; Wheat ; Maize ; Peaches / China / Shaanxi
(Location: IWMI-HQ Call no: PER Record No: H038263)
2 Gao, J.; Li, Z.; Chen, Z.; Zhou, Y.; Liu, W.; Wang, L.; Zhou, J. 2021. Deterioration of groundwater quality along an increasing intensive land use pattern in a small catchment. Agricultural Water Management, 253:106953. (Online first) [doi: https://doi.org/10.1016/j.agwat.2021.106953]
Groundwater ; Water quality ; Land use change ; Catchment areas ; Chemical analysis ; Nitrates ; Ions ; Stable isotopes ; Farmland ; Vegetation ; Fertilizers ; Contamination ; Wells / China / Shaanxi / Yujiahe Catchment
(Location: IWMI HQ Call no: e-copy only Record No: H050383)
(5.25 MB)
Land use change has greatly influenced groundwater quality worldwide. Identifying the effects of different intensive land uses on the groundwater quality is the first step in taking proper action to solve the problem. In this study, we compared the effects of different intensive land uses (region A, natural vegetation; region B, cereal fields; region C, kiwifruit orchards) in the Yujiahe catchment between 2015 and 2017 in Shaanxi, China, on the major ions and stable isotopes of nitrate (d15N–NO3– and d18O–NO3–). The NO3- groundwater concentrations increased from region A to region B and region C; NO3- concentrations in shallow groundwater were higher than those of deep groundwater in region C (55.3 vs. 28.9 mg/L, respectively). The NO3- concentrations in region A and region B did not exceed the WHO standard of 50 mg/L. However, 56.3% and 22.2% of the shallow and deep groundwater samples have NO3- concentrations exceeding the standard in region C, respectively. The average electrical conductivity (EC) values of springs in region A and shallow groundwater in regions B and C were 438, 525, and 753 µs/cm, respectively. Concentrations of Ca2+, Mg2+, Na+, Cl-, and HCO3- ions and nitrogen isotope values increased from region A to region C, indicating that intensive land use change has modified groundwater hydrochemical composition, and deteriorated groundwater quality. This study has highlighted the significant effect of intensive land use of orchards at the small catchment scale on the groundwater quality.
3 Zhang, J.; Zhu, J.; Liu, Y.; Lu, N.; Fang, W. 2022. The economic impact of payments for water-related ecosystem services on protected areas: a synthetic control analysis. Water Resources Management, 36(5):1535-1551. [doi: https://doi.org/10.1007/s11269-022-03099-z]
Payment for Ecosystem Services ; Water resources ; Economic impact ; Economic development ; Economic growth ; Gross national product ; Policies ; Towns ; Case studies / China / Shaanxi / Hubei / Henan / Gansu / Sichuan / Hanzhong / Ankang / Shangluo / Danjiangkou Reservoir
(Location: IWMI HQ Call no: e-copy only Record No: H051072)
(3.30 MB)
Payments for Water-Related Ecosystem Services (PWES) are increasingly popular for promoting water ecological conservation, and their impact on development is of considerable interest. This study estimates the economic impact of PWES on protected areas using the synthetic control method. Taking the Middle Route of the South to North Water Diversion Project in China as a case study, we find that the per capita GDP in protected areas increased markedly relative to synthetic control regions, and PWES had a positive economic impact. Additionally, we conducted many placebo tests to verify the validity and robustness of the results. We believe that the main factor responsible for the positive effect lies in developing the ecological-economic industrial system. This study provides a baseline for synthetic control analysis of PWES to compare regions of interest with their counterfactuals. The case study findings provide reference for the economic development of protected areas.
4 Zhang, Y.; Geng, L.; Liang, X.; Wang, W.; Xue, Y. 2024. Which is more critical in predicting farmers' adaptation and mitigation towards climate change: rational decision or moral norm factors. Journal of Cleaner Production, 434:139762. [doi: https://doi.org/10.1016/j.jclepro.2023.139762]
Climate change adaptation ; Climate change mitigation ; Farmers ; Agricultural production ; Models / China / Jiangsu / Shaanxi
(Location: IWMI HQ Call no: e-copy only Record No: H052605)
https://www.sciencedirect.com/science/article/pii/S0959652623039203/pdfft?md5=f9d2a3f0917da8639eab00d3a757e1db&pid=1-s2.0-S0959652623039203-main.pdf
https://vlibrary.iwmi.org/pdf/H052605.pdf
https://vlibrary.iwmi.org/pdf/H052605.pdf
(0.60 MB) (616 KB)
Rational decision or moral norm factors are often used to explain pro-environmental behavior. However, the types of factors that influence farmers' high-cost production behavior (climate change adaptation and mitigation) have not been explored.
In response, this study constructed competitive models from multi-theoretical perspective, including the Theory of Planned Behavior (TPB) and the Value-Identity-Personal norm (VIP) model, which demonstrated rational decision-making factors and moral norm factors, respectively. We collected data from 912 farmers in the Jiangsu and Shaanxi provinces in China by means of a questionnaire survey and empirically tested the explanatory power of the models via partial least squares-structural equation modeling (PLS-SEM). The findings suggested that rational decision factors, including perceived behavioral control and attitudes, are better predictors of farmers' climate change coping behavior than moral norm factors, such as subjective norms. There remained a disconnect between the willingness to mitigate formed via perceived behavioral control and the actual behavior, and farmers who actually adopted mitigative climate-change behaviors still faced difficulties or had no control over the outcome. In addition, the effect of altruistic values on mitigating behavior (which predicts future benefits) was more pronounced. These findings pointed to rationality as the primary driver or motivation of pro-environmental behaviors in agricultural production, whereas the explanatory power of morality remained weak.
In response, this study constructed competitive models from multi-theoretical perspective, including the Theory of Planned Behavior (TPB) and the Value-Identity-Personal norm (VIP) model, which demonstrated rational decision-making factors and moral norm factors, respectively. We collected data from 912 farmers in the Jiangsu and Shaanxi provinces in China by means of a questionnaire survey and empirically tested the explanatory power of the models via partial least squares-structural equation modeling (PLS-SEM). The findings suggested that rational decision factors, including perceived behavioral control and attitudes, are better predictors of farmers' climate change coping behavior than moral norm factors, such as subjective norms. There remained a disconnect between the willingness to mitigate formed via perceived behavioral control and the actual behavior, and farmers who actually adopted mitigative climate-change behaviors still faced difficulties or had no control over the outcome. In addition, the effect of altruistic values on mitigating behavior (which predicts future benefits) was more pronounced. These findings pointed to rationality as the primary driver or motivation of pro-environmental behaviors in agricultural production, whereas the explanatory power of morality remained weak.
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