The impact of multi-scenario land use change on the water conservation in central Yunnan urban agglomeration, China

Huang, Xin; Liu, Jing; Peng, Shuangyun; Huang, Bangmei

doi:10.1016/j.ecolind.2023.109922

Cited by 13 publications

(11 citation statements)

References 41 publications

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“…In terms of urban development, the probability of conversion from building land to cropland, forest land, grassland, and water areas was reduced by 10%. In terms of ecological protection, the probability of conversion from cropland to building land was reduced by 15%, while the probabilities of conversion from forest land, water areas, and grassland to building land were reduced by 10% [53].…”

Section: Data Sourcementioning

confidence: 99%

“…The NDS maintains the original pattern of land changes without any intervention from influencing factors. The land use transition probability matrix is calculated based on the Markov chain, and the probabilities are the same as those in the 2010-2020 land use transition probability matrix [51,53]. This scenario is commonly used as a control experiment in previous studies on land use simulation to differentiate it from other scenario models.…”

Section: Data Sourcementioning

confidence: 99%

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A Study of the Spatiotemporal Evolution Patterns and Coupling Coordination between Ecosystem Service Values and Habitat Quality in Diverse Scenarios: The Case of Chengdu Metropolitan Area, China

Huang,

Feng,

2024

Sustainability

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The global ecological decline resulting from urban development presents a significant challenge for numerous regions striving to reconcile conservation efforts with developmental needs. This study explores the relationship between ecosystem service value (ESV) and habitat quality (HQ) under various scenarios to elucidate prospective development trajectories. This study utilized the PLUS model to simulate land use patterns in the Chengdu metropolitan area across four distinct development scenarios. Furthermore, it employed the equivalent factor method and the Invest model to quantify ESV and HQ values, and investigated the coupling coordination between ESV and HQ for each city using a coupling coordination model (CCM). The findings are as follows: (1) Between 2000 and 2020, land use in the Chengdu metropolitan area primarily expanded through the development of construction land. (2) Concurrently, ESV demonstrated a fluctuating trend characterized by an initial decline succeeded by an upsurge, culminating under the Development–Ecological Balance Scenario. Likewise, HQ displayed a similar fluctuating pattern with an initial decline succeeded by an increase, reaching its zenith under the Ecological Dominance Scenario. (3) The coupling coordination between ESV and HQ exhibited variability across cities and scenarios. Ultimately, this study offers a distinctive perspective on evaluating the interplay between urban development and conservation, providing valuable insights for promoting sustainable development in other regions.

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Section: Data Sourcementioning

confidence: 99%

Section: Data Sourcementioning

confidence: 99%

A Study of the Spatiotemporal Evolution Patterns and Coupling Coordination between Ecosystem Service Values and Habitat Quality in Diverse Scenarios: The Case of Chengdu Metropolitan Area, China

Huang,

Feng,

2024

Sustainability

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“…Consequently, four distinct scenarios were devised to accommodate the diverse directions of future regional development: the natural progression scenario (ND), the cropland preservation scenario (CP), the ecological conservation scenario (EP), and a dual focus on both cropland and ecological protection scenario (DP). The simulation was conducted in alignment with the Land Space Planning of Shanxi Province (2021-2035), Ecological Restoration Planning of Land Space of Shanxi Province (2021-2035), Outline of the Plan for Ecological Protection and High-Quality Development of the Yellow River Basin, and Outline of the Plan for Creating a Beautiful Shanxi (2023-2035) [32].…”

Section: Scenario Setting For Land-use Changementioning

confidence: 99%

“…The PLUS model utilizes an analytical methodology for land scaling by combining a computational algorithm (CA) model with various forms of stochastic patch seeding. Moreover, this model offers a distinct methodology for modeling land-use change, distinguishing it from other widely used models such as CLUE-S, SLEUTH, Markov, and FL models [32]. The defining characteristic of the PLUS model is its capacity to precisely replicate the intricate progression of patches composed of numerous land-use categories [33].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Evolution and Future of Carbon Storage in Resource-Based Chinese Province: A Case Study from Shanxi Using PLUS–InVEST Model Prediction

Jiao,

Wang,

et al. 2024

Sustainability

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Resource exploitation markedly alters land use and ecological carbon storage, posing risks to carbon sinks and food security. This study analyzes land-use change from 1990 to 2020 in the resource-based province of Shanxi, China. By introducing a mineral resource driver, the PLUS model was used to predict four scenarios: natural development (ND), cropland protection (CP), ecological protection (EP), and dual protection of ecology and cropland (DP). The spatial and temporal evolutions of carbon storage were then analyzed using the InVEST model. Forests were predominantly distributed in mountainous areas, with croplands in southerly and central flat areas, construction lands in and around cities, and mining lands sporadically distributed across Shanxi. From 1990 to 2020, croplands and grasslands decreased, while forest, construction, and mining lands increased. Carbon storage decreased continuously, with a total loss of 15.1 × 106 t. High-value carbon storage areas were in the Lüliang, Taihang, and Taiyue Mountains, and low-value areas were in the more populous central and southern regions. Carbon storage was predicted to decline by 2035 under the ND and CP scenarios and to exceed that of 2020 under the EP and DP scenarios. The DP scenario projected an increase of 4.93 × 106 t in carbon storage by 2035. The DP scenario realizes the protection of carbon sinks in resource-based areas and maintains food security, providing a theoretical reference for achieving carbon neutrality and high-quality sustainable development in Shanxi Province.

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“…In this study, the water production module in InVEST 3.13.0 was used to assess the spatial distribution and changes in water production in Jilin Province. This module is a water balance-based estimation method, where the actual water yield is computed by subtracting evapotranspiration from the precipitation of each grid unit to obtain the water yield for the grid unit (Huang et al, 2023). The model is described by Equations ( 1)-( 6):…”

Section: Simulation Of Water Productionmentioning

confidence: 99%

Factors driving changes in water conservation function from a geospatial perspective: case study of Jilin Province

Gao,

Li,

Zhao

et al. 2023

Front. Ecol. Evol.

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Jilin Province in China borders other countries in Northeast Asia and is a complex ecosystem of transboundary rivers, varying terrains, and climates, which provides vital freshwater resources to the neighboring countries. Water conservation is one of the ecosystem service functions and is of great significance to maintaining sustainable development of water resources and ecological security. In this study, we analyzed the water conservation function and its variations in Jilin Province from 2000 to 2020 using the InVEST model. Furthermore, we examined the dominant factors governing spatial distribution of the changes in water conservation function over the past two decades using geographical detectors. In addition, a multi-scale geographic weighted regression model was adopted to investigate spatial differences and characteristics of individual drivers across different spatial scales. The study revealed a number of findings. First, between 2000 and 2020, average water conservation in Jilin Province increased by 46.12% overall from 87.14 mm/m2 to 127.28 mm/m2. Second, compared with land use change, climate change had a greater influence on water conservation. However, in some areas, the opposite was true, and the combined impact of both factors was more substantial on water conservation than when each acted independently. Third, except for temperature, the correlation between each driving factor and the change in water conservation function exhibited spatial variations, and the characteristics of each factor also varied across different spatial scales. In the study site, variations in water conservation were positively correlated with forest and grass coverage and negatively correlated with cultivated land and urban-rural and industrial-mining land. This study provides new insights for exploring the driving factors of changes in water conservation function and imparts a more appropriate basis for government agencies to make decisions about ecological and environmental protection and optimization of ecosystem management.

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The impact of multi-scenario land use change on the water conservation in central Yunnan urban agglomeration, China

Cited by 13 publications

References 41 publications

A Study of the Spatiotemporal Evolution Patterns and Coupling Coordination between Ecosystem Service Values and Habitat Quality in Diverse Scenarios: The Case of Chengdu Metropolitan Area, China

A Study of the Spatiotemporal Evolution Patterns and Coupling Coordination between Ecosystem Service Values and Habitat Quality in Diverse Scenarios: The Case of Chengdu Metropolitan Area, China

Spatiotemporal Evolution and Future of Carbon Storage in Resource-Based Chinese Province: A Case Study from Shanxi Using PLUS–InVEST Model Prediction

Factors driving changes in water conservation function from a geospatial perspective: case study of Jilin Province

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