Assessment of Future Water Yield and Water Purification Services in Data Scarce Region of Northwest China

Xu, Yang; Chen, Ruishan; Ji, Guangxing; Wang, Chao; Yang, Yuanda; Xu, Jiang

doi:10.3390/ijerph18178960

Cited by 9 publications

(4 citation statements)

References 37 publications

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“…Research on ESs is an effective way to address sustainability challenges and maintain human wellbeing [4]. With the rapid advancement of the social economy and living standards, increasing carbon emissions [5], water pollution [6], soil erosion [7], and biodiversity losses [8] have resulted in more than 60% of ecosystems being degraded or unsustainably used [9], which directly affects the structure and function of ecosystems and ecological security [10]. Consequently, the coupling of ESs with analyses of changes in land use and the associated driving factors has become a topic of major interest and a core focus of ecosystem research [11].…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Variations and Trade-Offs of Ecosystem Services in Anhui Province, China

Yang

Zhang

Qiu

et al. 2023

IJERPH

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Research on the spatiotemporal evolution and trade-offs of ecosystem services (ESs) is important for optimizing the ecological security barrier system and promoting coordinated socio-economic development. Natural factors, e.g., climate change, and human factors, e.g., unreasonable land use, have impacted and damaged ecosystem structure and function, leading to challenges with ES trade-offs and the spatial identification of priority protected areas. Here, the spatiotemporal evolution characteristics of five ESs (water yield, nitrogen export, soil retention, carbon storage, and habitat quality) in Anhui Province, China, from 2000–2020 were analyzed based on the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model. The trade-offs and spatial patterns among different ESs were explored using Pearson correlation and hotspot analyses; the dynamics of natural growth, cultivated land protection, and ecological protection scenarios for ESs in 2030 were simulated and analyzed by coupling InVEST with the patch-generating land use simulation (PLUS) model. The results reveal the following. (1) From 2000–2020, increases in water yield and soil retention occurred, with concurrent declines in the other services; the total nitrogen high-value area was mainly concentrated in the plain, with the other services’ high-value areas mainly concentrated in the Dabieshan and Southern Anhui Mountains, with each ES showing similar spatial distributions across years. (2) The ESs were mainly synergistic, with trade-offs mainly between nitrogen export and other services. (3) Hotspot overlap between water yield and the other ESs was relatively low; no more than 6.53% of ecosystems per unit area provided five ESs simultaneously. (4) Other than water yield, the ecological protection scenario was more conducive to improving ecosystem functions. This study’s results indicate inadequate synergy among ESs in Anhui Province; competition among land types must be further balanced in the future. This study provides a basic reference for implementing ecological projects and constructing ecological security patterns.

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Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Variations and Trade-Offs of Ecosystem Services in Anhui Province, China

Yang

Zhang

Qiu

et al. 2023

IJERPH

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“…There was a large degree of uncertainty in the unified standard and applicability evaluation, and the simulation accuracy of the model needs to be confirmed by combining more actual observation data. In addition, future data simulations were based on historical data and forecasting methods, but they have implications for future forecasting [60]. When forecasting the future water yield, only future precipitation and land use were simulated, and only RCP scenarios caused by greenhouse gas concentrations were considered.…”

Section: Calibration and Limitations Of Water Yield Assessmentmentioning

confidence: 99%

Evaluation and Prediction of Water Yield Services in Shaanxi Province, China

Liu

et al. 2023

Forests

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The water yield module of the InVEST model was used to estimate the water yield and its temporal and spatial variation characteristics in Shaanxi Province from 2000 to 2020. Moreover, the influences of future precipitation changes and land use changes on water yield in Shaanxi Province were discussed in the 2030s and 2050s. The results showed that: (1) from 2000 to 2020, the multi-year average water yields in northern Shaanxi, Guanzhong and southern Shaanxi were 33.23 × 108 m3, 73.75 × 108 m3, and 280.63 × 108 m3, respectively; (2) the spatial pattern of water yield depth displayed a characteristic of gradually increasing from north to south; (3) under the precipitation change scenario, the water yield under different emission scenarios wa s in the order of RCP (Representative Concentration Pathways) 8.5 > RCP2.6 > RCP4.5; under the land use change scenario, the water yield depth of Shaanxi Province as a whole and in the three regions in the 2030s and 2050s showed a decline. The research results can provide scientific support for water ecological security, water resources, and regional high-quality sustainable development in Shaanxi Province.

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“…Water yield refers to the amount of water that is available on the surface at a certain spatial and temporal scale (Yang et al, 2021). The InVEST model was used to evaluate the water yield by using the water production module based on the water balance principle.…”

Section: Water Yield Servicementioning

confidence: 99%

Trade-offs and Synergies of Ecosystem Service Bundles in the Luan River Basin, China

Wang

Xue

et al. 2023

Preprint

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The relationships between multiple ecosystem services are essential for effective ecosystem management and decision-making. In this study, the Luan River Basin, which is a critical component of the water conservation and ecological environment support area in the Beijing-Tianjin-Hebei region of China, was evaluated for its carbon storage, water yield, soil conservation, water retention, habitat quality, and food supply from 1990 to 2020. Ecosystem service bundles were identified using clustering methods that considered trade-offs and synergies, and the spatiotemporal variations of each bundle type were examined. The results indicated that carbon storage, water yield, soil conservation, water retention, and habitat quality increased after reaching their lowest values in 2000–2005, while food supply showed a significant decline after 2005. Most ecosystem services, except for food supply, were significantly positively correlated with each other, indicating the presence of synergies between them. Based on the ecosystem service value and the area proportion of synergies and trade-offs between ecosystem services, three ecosystem service bundles were identified as "Ecological conservation synergy type," "Food supply trade-off type," and "Ecological balance type." The interconversion between these types of bundles depended on natural background conditions, ecological protection policies, and the degree of agricultural economic development. These findings suggest that ecosystem management in the Luan River Basin should be tailored to specific measures based on the different ecosystem service bundles.

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Assessment of Future Water Yield and Water Purification Services in Data Scarce Region of Northwest China

Cited by 9 publications

References 37 publications

Spatial-Temporal Variations and Trade-Offs of Ecosystem Services in Anhui Province, China

Spatial-Temporal Variations and Trade-Offs of Ecosystem Services in Anhui Province, China

Evaluation and Prediction of Water Yield Services in Shaanxi Province, China

Trade-offs and Synergies of Ecosystem Service Bundles in the Luan River Basin, China

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