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

Liu, Yanlin; He, Yi; Liu, Wanqing; Jia, Liping; Zhang, Yaru

doi:10.3390/f14020229

Cited by 9 publications

(6 citation statements)

References 46 publications

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“…x FOR PEER REVIEW 8 of 27 0.819 and an overall accuracy (OA) of 0.871, indicating the reliability and excellent performance of the model [48,50]. These results closely align with the verification findings of other scholars in related studies [51]. As a result, this model accurately projects future land use in Xi'an and provides a more accurate representation of land transformation.…”

Section: Space-timesupporting

confidence: 80%

A Multi-Scenario Prediction and Spatiotemporal Analysis of the Land Use and Carbon Storage Response in Shaanxi

Wei,

Zhang,

Luo

et al. 2023

Remote Sensing

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The role of carbon sequestration in terrestrial ecosystems is crucial for achieving carbon neutrality. This study primarily focuses on examining the carbon storage in Shaanxi Province under different land-use scenarios. This study employed the LP-PLUS-InVEST model to explore the characteristics and spatial and temporal changes in carbon storage across four scenarios (business-as-usual (BUS), ecological protection (EPS), water–energy–food (WEF), and rural revitalization (RRS)) in Shaanxi Province. The results show that from 2000 to 2020, the carbon storage in Shaanxi Province is on a decreasing trend mainly due to the large occupation of ecological land by economic development. EPS has the largest increase in carbon storage under the four scenarios in 2030 and 2060. On the contrary, BUS has a rapid expansion of construction land, which leads to a gradual decreasing trend in carbon storage. WEF has a gradual increasing trend in carbon storage, while RRS has a trend of increasing and then slowly decreasing carbon storage. The spatial distribution trends of carbon storage in all scenarios were similar; high-carbon-reserve areas were mainly distributed in southern and central Shaanxi, which has a better ecological environment and less construction land, while low-value areas were distributed in the Central Shaanxi Plain, which has high land-use intensity. In terms of the stability of carbon reserves, the stable areas are predominantly concentrated in the Qinling Mountains, while the unstable areas are concentrated in the plain urban areas. Specifically, returning cultivated land to forest and grassland is an important initiative to promote the increase in carbon storage in Shaanxi Province. The decrease in carbon storage is mainly affected by strong urban expansion. Our study optimizes the land-use pattern according to the development needs of Shaanxi Province, and promotes the integrated development of ecological protection, food security, and economic development. Guidance is provided to promote regional carbon neutrality.

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Section: Space-timesupporting

confidence: 80%

A Multi-Scenario Prediction and Spatiotemporal Analysis of the Land Use and Carbon Storage Response in Shaanxi

Wei,

Zhang,

Luo

et al. 2023

Remote Sensing

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“…In our work, the value of the water yield depth and total water yield in the same period was 36.94 mm and 2.86 billion m 3 , respectively. Such deviations are understandable as the water yield depth and total water yield are calculated by averaging the values for 2000, 2005, 2010, 2015, and 2020, which is different from Li's report [51]. The carbon storage and soil conservation in the middle reaches of the Yellow River basin in 2000, calculated by Ren [52], was 47.70 t/hm 2 and 194.78 t/hm 2 , respectively.…”

Section: Evolution Of Land Use and Land Cover From 1990 To 2020mentioning

confidence: 87%

Where Are the Trade-Offs in Multiple Ecosystem Services in the Process of Ecological Restoration? A Case Study on the Vegetation Restoration Area in the Loess Plateau, Northern Shaanxi

Wen,

Wang,

Han

et al. 2024

Land

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Revealing trade-off and synergistic relationships among ecosystem services plays a key role in ensuring a stable ecosystem for long-term development. It is the crucial precondition for realizing watershed protection and high-quality development. The variations in land use during 1990–2020 are investigated by taking the typical areas for returning farmland to forests as an example. The spatiotemporal distributions of six key ecosystem services, namely carbon storage, water yield, net primary productivity (NPP), soil conservation, habitat quality, and forest recreation are quantified by the InVEST model and statistical data. We also uncover the spatial difference in the ecosystem in Loess Plateau, located in northern Shaanxi, with hot spot analysis and probe the trade-off and synergistic correlations among the investigated ecosystem services. The results show that: (1) the farmland decreased dramatically. On the contrary, the forests and orchards increased significantly. (2) During the same period, carbon storage and habitat quality increased, and water yield, NPP, soil conservation, and forest recreation initially declined, but subsequently rose to higher values than that in 1990. All these services in the southeastern part of the research area surpass those found in the northwest. (3) The ecosystem services relationships in northern Shaanxi are mainly characterized by synergistic correlations, which became stronger from 1990 to 2020. The trade-off effects mainly occur among the water yield and other ecosystem services and are distributed in the west and north of the investigated area. Based on these findings, this work provides scientific principles for improving the ecological environment and enhancing the resource sustainability of the study area.

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“…Water conservation was estimated using the Annual Water Yield module of the InVEST model. (Li et al, 2023).…”

Section: Ecosystem Services Assessmentmentioning

confidence: 99%

Importance of ecosystem services and ecological security patterns on Hainan Island, China

Liu,

Zhang,

et al. 2024

Front. Environ. Sci.

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The identification and restoration of damaged ecosystems are key to achieving ecological conservation and sustainable. Hainan Island is experiencing a serious crisis of biodiversity and habitat degradation. Therefore, its ecological conservation has become a priority and challenge for China. This study aimed to construct a multi-level ecological security pattern (ESP) based on the synergy of multiple ecosystem service functions and identify important ecological elements and ecological restoration areas. Based on the InVEST model, the circuit theory model, and a series of GIS spatial analysis methods, the importance of ecosystem functions (biodiversity maintenance, water conservation, carbon sequestration, and soil conservation) was evaluated, and ecological sources, ecological corridors, ecological pinch points, and ecological barrier points were identified. The results are as follows: 1) The best habitats in Hainan Island were distributed in the central mountainous area with diverse ecosystems, with an area of 10982.5 km2, accounting for 34.25% of the total suitable habitats. Low-level habitats are mainly distributed on tableland and coastal zones. Human disturbance is the direct cause of landscape patch fragmentation in low-level habitat areas. 2) A total of 65 large ecological sources with a total area of 8238.23 km2 were identified, which were concentrated in the biodiversity and water conservation areas in the central part of the island. 3) Crucial areas in Hainan Island mainly comprised forests and water bodies. Ecological corridors radiated across the entire area in the form of a spider web and connected all important ecological patches, including 138 ecological corridors (73 primary ecological corridors and 65 secondary ecological corridors), 222 ecological pinch points, and 198 ecological barrier points. In addition, the identified areas for restoration are primary areas in urgent need of protection and restoration. In general, the ecological pinch points are natural conservation areas supplemented by anthropogenic restoration, and the ecological barrier points demand equal attention for anthropogenic restoration and nature conservation. The ecosystem protection plan developed in this study will enrich the theoretical achievements of territorial spatial ecological planning in Hainan Island, and provides clear guidance for alleviating the contradiction between land use and economic development in Hainan Island.

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

Cited by 9 publications

References 46 publications

A Multi-Scenario Prediction and Spatiotemporal Analysis of the Land Use and Carbon Storage Response in Shaanxi

A Multi-Scenario Prediction and Spatiotemporal Analysis of the Land Use and Carbon Storage Response in Shaanxi

Where Are the Trade-Offs in Multiple Ecosystem Services in the Process of Ecological Restoration? A Case Study on the Vegetation Restoration Area in the Loess Plateau, Northern Shaanxi

Importance of ecosystem services and ecological security patterns on Hainan Island, China

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