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1 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.
2 Feng, M.; Zhao, R.; Huang, H.; Xiao, L.; Xie, Z.; Zhang, L.; Sun, J.; Chuai, X. 2022. Water-energy-carbon nexus of different land use types: the case of Zhengzhou, China. Ecological Indicators, 141:109073. [doi: https://doi.org/10.1016/j.ecolind.2022.109073]
Water use ; Energy consumption ; Carbon ; Nexus approaches ; Land use change ; Emission reduction ; Forecasting ; Farmland ; Cultivated land ; Grasslands / China / Zhengzhou
(Location: IWMI HQ Call no: e-copy only Record No: H051284)
https://www.sciencedirect.com/science/article/pii/S1470160X22005441/pdfft?md5=606b6ab5b5570b0730dfb2db44dfe8a2&pid=1-s2.0-S1470160X22005441-main.pdf
https://vlibrary.iwmi.org/pdf/H051284.pdf
https://vlibrary.iwmi.org/pdf/H051284.pdf
(2.63 MB) (2.63 MB)
The rapid urban expansion of China has led to a large amount of water and energy consumption, and caused drastic growth of carbon emissions. Discovering the water–energy–carbon nexus of different land use types helps explain the interactions between resources capacity and environmental effects of land use activities, as well as provides reasonable options for land use management based on water–energy conservation and carbon emission reduction. In this paper, carbon emission/absorption of different land use types was estimated and the water–energy–carbon nexus of different land use types in Zhengzhou was analyzed. Through the SD model, the future carbon emissions of different scenarios were predicted under water, energy, and land constraints. It showed that total carbon emission increased and carbon absorption reduced along with the land use change during the rapid urbanization process of Zhengzhou city. The water and energy consumption and carbon emissions of different land use types were determined by the different intensities and their spatial patterns of human activities. Therefore, carbon emission and its intensity varied with land use types and water–energy–carbon nexus was closely related to land use types. The carbon emission prediction showed that the carbon emission reduction potential was the highest and the peak carbon emission (40.18 × 106 t) occurred in 2025 under a comprehensive scenario, which was designed with water–energy saving and optimization of land use structure. This study could provide references for policy–makers to formulate differentiated strategies for different land use activities, and contribute to realize water–energy saving and efficient utilization of land and the emission reduction of Zhengzhou city.
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