Research on the Change in Prediction of Water Production in Urban Agglomerations on the Northern Slopes of the Tianshan Mountains Based on the InVEST–PLUS Model

Reheman, Rukeya; Kasimu, Alimujiang; Duolaiti, Xilinayi; Wei, Bohao; Zhao, Yongyu

doi:10.3390/w15040776

Cited by 14 publications

(9 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…So managers should focus on regional water production and water regulation capacity when making decisions. For example, the availability of water production services was particularly high for urban and cultivated land, while the availability of other services was relatively low, so management decisions should strive to increase the ability of urban and cultivated land to produce water, either by providing raw water or retaining rainfall (Reheman et al,2022). The trade-off between water production services and other services was mitigated by reducing impervious surface area while controlling urban development.…”

Section: Spatial Scale Effects Of Es Interactionsmentioning

confidence: 99%

Assessment of the impact of the Three Gorges Project on the ecosystem service value

LIU,

Liu,

Zhang

2024

Preprint

View full text Add to dashboard Cite

The investigation into the impact of the Three Gorges Project on ecosystem services is crucial for ecological conservation, sustainable developmen and ecological management decisions. While numerous studies have focused on assessing the current state of regional ecosystem services, there remains a gap in research related to simulating the spatiotemporal changes and impact pathways. The objective of this paper is to uncover the direct and indirect impact pathways of ecosystem service value (ESV) in the reservoir area altered by the construction of the Three Gorges Dam project, by using the structural equation model (SEM) method. Additionally, this study aims to identify spatial and temporal changes in ecosystem service relationships over the 30 years before and after the dam's construction, utilizing self-organizing maps (SOM). The results of the study reveal that land use and land cover (LULC) factors predominantly exert direct negative effects on ESV. In comparison, socioeconomic development (ECO) and meteorological development (MET) factors have a nuanced impact on ESV, with MET factors exhibiting the strongest positive effect on ESV through the pathway MET → LULC → ESV. Furthermore, the application of SOM indicates that between 1990 and 2020, the patterns of ecosystem service bundles were spatially heterogeneous. Additionally, trade-offs and synergies between ecosystem service bundles are relevant to hydrological regulation services. These findings contribute to a comprehensive understanding of how various factors interact and influence ESV through multiple pathways. The intricate relationships among ecosystem services highlighted in the study are valuable for guiding ecological management at various scales.

show abstract

Section: Spatial Scale Effects Of Es Interactionsmentioning

confidence: 99%

Assessment of the impact of the Three Gorges Project on the ecosystem service value

LIU,

Liu,

Zhang

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The study area, located on the Qinghai-Tibet Plateau, experiences temperature-driven effects on the soil organic carbon cycle in meadow grassland and swamp ecosystems. Global warming is leading to permafrost melting, accelerating plant root production and turnover rates [43], the decomposition of fallen leaves [44,45], and changes in microbial community structure [46], resulting in increased CO 2 release. As atmospheric CO 2 concentration rises, plants' photosynthesis and productivity increase, leading to greater input of carbon into soil carbon pools [47].…”

Section: Carbon Storage Assessmentmentioning

confidence: 99%

Evaluation of Ecosystem Services in Ruoergai National Park, China

Li,

Wang,

Chen

et al. 2024

Sustainability

View full text Add to dashboard Cite

This study utilizes ArcGIS10.8 and ENVI5.3 software and the InVEST model to analyze and operate field survey data and remote sensing image data from Ruoergai National Park. The work simulates the soil retention, carbon storage, water supply, and habitat quality of the park to evaluate and analyze its four major ecosystem services. Subsequently, important areas of ecosystem services are zoned based on the results, aiming to provide decision-makers with a theoretical and scientific basis for formulating ecological environment restoration, protection, and management measures in Ruoergai National Park. The results showed the following: (1) In the study area, the land use types, ranked from largest to smallest, are grassland, unused land, forest, water area, and construction land. (2) Soil retention and water supply show an increasing trend, while carbon storage shows a decreasing trend. Habitat quality remains relatively stable, with most areas maintaining a high level of quality. (3) The importance zoning of ecosystem services in the study area exhibited a trend of “four increases and one decrease”. Specifically, the areas classified as moderately important, highly important, and extremely important all increased, while the area designated as generally important decreased. The findings indicate that climate change, land use type changes, and human activities are the primary factors influencing changes in ESs. It is crucial to prioritize highly important and extremely important areas for protection and utilization within Ruoergai National Park. Moving forward, it will be essential to minimize human activities that disrupt the ecosystem, while also focusing on the conservation and sustainable use of forest and grassland.

show abstract

“…In this study, two scenarios were developed based on existing research (Gao et al, 2022;Yang et al, 2022;Hu et al, 2023;Reheman et al, 2023;Wang et al, 2023a) Scenario II: The ECD takes into consideration the different areas in the upper, middle, and lower reaches of the YRB, which have very different natural conditions and ecological priorities. The ECD allows for improved targeting and effectiveness of policies and engineering measures while promoting protection and action by zoning and classification.…”

Section: Land-use Simulation Scenario Settingmentioning

confidence: 99%

Spatiotemporal evolution and multi-scenario prediction of habitat quality in the Yellow River Basin

Chen,

He,

Yue

et al. 2023

Front. Ecol. Evol.

View full text Add to dashboard Cite

IntroductionThe Yellow River Basin (YRB) is not only a vital area for maintaining ecological security but also a key area for China’s economic and social development. Understanding its land-use change trends and habitat quality change patterns is essential for regional ecological conservation and effective resource allocation.MethodsThis study used the patch-generating land-use simulation (PLUS) and Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) models to analyze and predict the spatial and temporal trends of habitat quality in the YRB from 2000 to 2030 under natural development (ND) and ecological conservation and high-quality development (ECD) scenarios. The PLUS model was used to predict land-use change in 2030 under different scenarios, after which the InVEST model was used to obtain the habitat quality distribution characteristics from the 2000–2030 period.Results(1) The mean values of habitat quality in the YRB in 2000, 2010, and 2020 were 0.6849, 0.6992, and 0.7001, respectively. The mean habitat quality values were moderately high. Spatial distribution characteristics were high in the west and low in the east and along the water. In 2030, habitat quality (0.6993) started to decline under ND, whereas under ECD, there was an indication of substantial improvement in habitat quality (0.7186). (2) The mean habitat degradation values in 2000, 2010, and 2020 were 0.0223, 0.0219, and 0.0231, respectively. The level of habitat degradation showed a decreasing trend, followed by an increasing trend with a stable spatial distribution pattern. The mean level of habitat degradation in 2030 (0.0241) continued to increase under ND, while a substantial decrease in the level of habitat degradation occurred under ECD (0.0214), suggesting that the level of habitat degradation could be effectively contained under the ECD scenario. (3) During the study period, the conversion of building land—both negative and positive—had the most pronounced impact on habitat quality per unit area. Further, the conversion of grassland was shown to be a key land transformation that may either lead to the deterioration or improvement of the ecological environment. The results provide scientifific theoretical support and a decision basis for ecological conservation and the high-quality development of the YRB.

show abstract

Research on the Change in Prediction of Water Production in Urban Agglomerations on the Northern Slopes of the Tianshan Mountains Based on the InVEST–PLUS Model

Cited by 14 publications

References 34 publications

Assessment of the impact of the Three Gorges Project on the ecosystem service value

Assessment of the impact of the Three Gorges Project on the ecosystem service value

Evaluation of Ecosystem Services in Ruoergai National Park, China

Spatiotemporal evolution and multi-scenario prediction of habitat quality in the Yellow River Basin

Contact Info

Product

Resources

About