What dominates sustainability in endorheic regions?

Ge, Yingchun; Li, Xin; Cheng, Guodong; Fu, Bojie; Liu, Jianguo; Gao, Lei; Zhong, Fanglei; Zhang, Ling; Wang, Shengtang

doi:10.1016/j.scib.2022.07.009

Cited by 14 publications

(13 citation statements)

References 15 publications

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“…The framework focuses on the integration of WRRE and SDG 6 by means of scenario analysis and RSDSS developed by Ge et al [32,33] (Figure 1), presents an opportunity to establish a connection among policy assumptions, the model simulation-based trend of change in natural and socioeconomic elements, and the impact of the change on WRRE and SDG 6. By regulating the value of the key drivers, one can map a quantitative scenario pathway into a policy assumption.…”

Section: A Frameworkmentioning

confidence: 99%

“…The objective of this study is to identify the potential methods of slowing down this mechanism of negative impacts of water resources rebound effect on achievement of SDG 6 through the development of a framework coupling WRRE and SDG 6 to understand the interaction between both agents. We employed a river basin sustainable development decision support system (RSDSS)[V 1.0] [32,33] to simulate and predict three indicators (i.e., SDG 6.4.1, SDG 6.4.2, and SDG 6.6.1) and WRRE by 2050 under 216 scenario pathways to analyze the impact of key divers on the SDG indicators and WRRE and interaction between them and provide potential suggestions for slowing down WRRE towards the achievement of SDG 6. Then, Section 2 provides a methodology framework.…”

Section: Introductionmentioning

confidence: 99%

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The Water Resources Rebound Effect Threatening the Achievement of Sustainable Development Goal 6 (SDG 6)

Ge,

Wang

2024

Sustainability

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Coaction of climate change and human activities exerts a significant impact on the fate of water resources, provoking the rebound effect in water resources and threatening the achievement of SDG (sustainable development goal) 6. However, the mechanisms of interactions between this effect and SDG 6 and how to decrease this effect towards the achievement of SDG 6 are less known. In this paper, a water resources rebound effect (WRRE) model is integrated into a river basin sustainable development decision support system to simulate and project the interactions between the WRRE and SDG 6 under multiple combination scenarios. The results show that multiple drivers, including precipitation, technological advances, and ecological water flow, coaffect the WRRE, not the silo technology factor. The transfer fate of the saved water is a major root cause leading to the WRRE and harming the achievement of SDG 6, and the WRRE is positively correlated to SDG 6 overall, which, nevertheless, can sometimes be reversed by technological advances. Our outcomes indicate that decoupling SDG 6 from the WRRE can promote the achievement of SDG 6 and decrease the rebound effect, relying on holistic integration that couples climatic, socioeconomic, and behavioral interaction between SDG 6 and the WRRE and translation of scientific research into available decision-making information for strict scientific-research-based policy actions.

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Section: A Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Water Resources Rebound Effect Threatening the Achievement of Sustainable Development Goal 6 (SDG 6)

Ge,

Wang

2024

Sustainability

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“…A great number of climate and socioeconomic scenarios were developed by localizing shared socioeconomic pathways using land‐use, socioecological, and regional climate models (Ge et al., 2022; Hu et al., 2022; Pan et al., 2012; Xiong & Yan, 2013). Based on these scenarios, the DSS has been successfully applied to assess sustainable development in the HRB and analyze trade‐offs between sustainable development goal indicators (Ge et al., 2022). The existing model development work in the HRB has provided a solid foundation and impetus for future efforts along these directions.…”

Section: Watershed System Model Data Information System and Decision ...mentioning

confidence: 99%

“…This approach can greatly improve the computational efficiency of watershed system models without sacrificing the simulation accuracy (Li, Zhang, et al., 2021). A great number of climate and socioeconomic scenarios were developed by localizing shared socioeconomic pathways using land‐use, socioecological, and regional climate models (Ge et al., 2022; Hu et al., 2022; Pan et al., 2012; Xiong & Yan, 2013). Based on these scenarios, the DSS has been successfully applied to assess sustainable development in the HRB and analyze trade‐offs between sustainable development goal indicators (Ge et al., 2022).…”

Section: Watershed System Model Data Information System and Decision ...mentioning

confidence: 99%

“…To serve watershed management and sustainability assessments, a river basin sustainable development DSS was developed by taking scientific models (i.e., the HRB watershed system model) as the backbone and using the surrogate modeling technique (Ge et al, 2013(Ge et al, , 2018(Ge et al, , 2022. Surrogate models refer to the replacement of complex physics-based models with data-driven relationships between multiple explanatory variables and model outputs (Razavi et al, 2012).…”

Section: Watershed System Model Data Information System and Decision ...mentioning

confidence: 99%

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Linking Critical Zone With Watershed Science: The Example of the Heihe River Basin

Cheng

et al. 2022

Earth's Future

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Watersheds are the basic unit of Earth's terrestrial systems and are therefore ideal units for the study of critical zones (CZs). However, grand challenges remain regarding the observation, modeling, and management of CZs and watershed systems. We synthesize the progress and breakthroughs associated with watershed science and CZ research in the Heihe River basin (HRB), a large‐scale endorheic river basin with unique mountain cryosphere‐oasis‐desert landscapes and prominent human‐nature competition for water resources. The HRB observation system consists of mountain cryosphere, agricultural oasis, and natural oasis observatories and is promoted by large‐scale comprehensive experiments to achieve multiscale observations. A watershed system model that couples ecohydrological models with socioeconomic models is developed to investigate the complex interactions among water, ecology, and socioeconomics in the HRB. The model is embedded in a decision support system to bridge science and decision‐making and to better serve river basin sustainability. Significant progress and breakthroughs have been made in CZ and watershed process research (e.g., cryospheric hydrological processes, ecological and hydrological interactions, and surface‐groundwater interactions) in the HRB. Nevertheless, observation and modeling of geochemical and geomorphological processes in the CZ have not been well addressed in integrated watershed studies of the HRB. In the future, new observation technologies, agent‐based models, machine learning, and data assimilation will benefit both watershed science and CZ science and help to address complexity and dynamics in the CZ at the river basin scale. Overall, the HRB has successfully demonstrated how an experimental river basin can link CZ science with watershed science.

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Disparities between climate change facts and farmer’s awareness and perception in an arid region: A case study of the middle and lower reaches of the Heihe River Basin in northwest China

Liu,

Peng,

Zhang

2024

Climate Risk Management

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What dominates sustainability in endorheic regions?

Cited by 14 publications

References 15 publications

The Water Resources Rebound Effect Threatening the Achievement of Sustainable Development Goal 6 (SDG 6)

The Water Resources Rebound Effect Threatening the Achievement of Sustainable Development Goal 6 (SDG 6)

Linking Critical Zone With Watershed Science: The Example of the Heihe River Basin

Disparities between climate change facts and farmer’s awareness and perception in an arid region: A case study of the middle and lower reaches of the Heihe River Basin in northwest China

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