Simulating the impact of urban expansion on ecosystem services in Chinese urban agglomerations: A multi-scenario perspective

Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 103, P. 107275 - 107275

Published: Sept. 21, 2023

Language: Английский

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Assessing and decoupling ecosystem services evolution in karst areas: A multi-model approach to support land management decision-making

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 350, P. 119632 - 119632

Published: Nov. 29, 2023

Language: Английский

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Past dynamics and future prediction of the impacts of land use cover change and climate change on landscape ecological risk across the Mongolian plateau

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 355, P. 120365 - 120365

Published: March 1, 2024

Language: Английский

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Spatiotemporal Variations and Multi-scenario Simulation of Urban Thermal Environments Based on Complex Networks and the PLUS Model: A Case Study in Chengdu Central Districts

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 105833 - 105833

Published: Sept. 1, 2024

Language: Английский

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Simulation of wetland carbon storage in coastal cities under the coupled framework of socio-economic and ecological sustainability: A case study of Dongying city

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 108, P. 105481 - 105481

Published: April 28, 2024

Language: Английский

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Estimating the Past and Future Trajectory of LUCC on Wetland Ecosystem Service Values in the Yellow River Delta Region of China

Sustainability, Journal Year: 2024, Volume and Issue: 16(2), P. 619 - 619

Published: Jan. 10, 2024

Land use/cover change (LUCC) can impact the provision of ecosystem service values (ESVs), particularly in wetland regions that are subject to frequent and unsustainable land conversions. Exploring past future trajectory LUCC its effects on ESV has a great significance for management habitat stability. This study tried reveal patterns magnitude under varying development scenarios Yellow River Delta region, which is typical region undergoing serious degradation China. In this study, combined approach utilizing equivalent coefficients services was employed determine relation major use types (LUTs). The Markov–FLUS model then used simulate LUTs across multiple 2030 clarify relationship between other LUTs. results indicated severely degraded, with loss area 6679.89 ha 2000 2020. Cropland water body were main sources diversion turnover wetland, respectively. Despite scenario projections revealed, exhibited similar growth rate homogeneity natural (ND), urban construction (UCD), ecological (ED) scenarios. ED deemed optimal strategy ecosystem. Our research will improve comprehension decisions promote sustainable estuarine areas.

Language: Английский

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Spatial heterogeneity and driving mechanisms of carbon storage in the urban agglomeration within complex terrain: Multi-scale analyses under localized SSP-RCP narratives

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 109, P. 105520 - 105520

Published: May 23, 2024

Language: Английский

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Multi-Scenario Land Use Optimization Simulation and Ecosystem Service Value Estimation Based on Fine-Scale Land Survey Data

Land, Journal Year: 2024, Volume and Issue: 13(4), P. 557 - 557

Published: April 22, 2024

Land optimization simulation and ecosystem service value (ESV) estimation can better serve land managers in decision-making. However, survey data are seldom used existing studies, constraints fail to fully consider planning control, the at provincial scale is not fine enough, which leads a disconnection between academic research management. We coupled ESV, gray multi-objective (GMOP), patch-generating use (PLUS) models based on authoritative management project ESV change under natural development (ND), rapid economic (RED), ecological protection (ELP), sustainable (SD) scenarios 2030. The results show that construction expanded dramatically (by 97.96% from 2000 2020), encroached grassland cropland. This trend will continue BAU scenario. Construction land, woodland, cropland main types of for expansion, while unused lack strict outflow categories. From 2030, total amount increases steadily slightly. spatial distribution significantly aggregated agglomeration increasing. policy direction important reasons changes. we set up play an role preventing uncontrolled expansion mitigating phenomenon construction, i.e., “governance destruction”, promoting food security. study provides new approach large-scale technical support achieving development.

Language: Английский

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Evaluating and simulating the impact of afforestation policy on land use and ecosystem services trade-offs in Linyi, China

Ecological Indicators, Journal Year: 2024, Volume and Issue: 160, P. 111898 - 111898

Published: March 1, 2024

Forest can provide multiple benefits, such as supplying a variety of ecosystem services. However, the planet is currently at risk deforestation result increased urbanization and growing food demand. Countries around world have introduced wide range policies to mitigate this issue. In China, Linyi City government has launched cross-county forest credit market transactions (CFCMT) policy, which showcased significant innovations in compliance credits transaction entities enhance motivation for afforestation. This study creates no-policy counterfactual scenario analyze woodland growth service trade-offs between 2013 2021. The results demonstrate that grew faster after with rate 1.78 times higher than from 2017. areas policy are mainly located on edges cropland woodland. primarily originates conversion, compared scenario, these woodlands gentler slopes lower altitudes. After policy's enforcement, there were more increases carbon storage, soil retention, habitat quality. And services showed optimizing trend direction synergy grid town scales. We also find larger spatial scales exhibit synergies less accurately represent trade-off/synergistic change trends. bundle consisting stocks, conservation quality increase. reveals among implementation CFCMT offering valuable insights future afforestation optimization promotion.

Language: Английский

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Predicting Land Use Changes under Shared Socioeconomic Pathway–Representative Concentration Pathway Scenarios to Support Sustainable Planning in High-Density Urban Areas: A Case Study of Hangzhou, Southeastern China

Buildings, Journal Year: 2024, Volume and Issue: 14(7), P. 2165 - 2165

Published: July 14, 2024

Amidst the challenges posed by global climate change and accelerated urbanization, structure distribution of land use are shifting dramatically, exacerbating ecological land-use conflicts, particularly in China. Effective resource management requires accurate forecasts cover (LUCC). However, future trajectory LUCC, influenced remains uncertain. This study developed an integrated multi-scenario framework combining system dynamics patch-generating simulation models to predict LUCC high-density urban regions under various Shared Socioeconomic Pathway (SSP)–Representative Concentration (RCP) scenarios. The results showed following: (1) From 2020 2050, cultivated land, unused water projected decrease, while construction is expected increase. (2) Future patterns exhibit significant spatial heterogeneity across three Construction will expand all districts Hangzhou, main areas. Under SSP585 scenario, expansion most significant, it least SSP126 scenario. (3) Distinct factors drive different types. digital elevation model predominant factor for forest grassland, contributing 19.25% 30.76%, respectively. Night light contributes at 13.94% 20.35%, (4) average intensity (LUI) central markedly surpasses that surrounding suburban areas, with Xiacheng having highest LUI Chun’an lowest. area increased significantly smaller than SSP245 These findings offer valuable guidance sustainable planning built environment Hangzhou similarly situated centers worldwide.

Language: Английский

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