Achievements and needs for the climate change scenario framework

Nature Climate Change, Journal Year: 2020, Volume and Issue: 10(12), P. 1074 - 1084

Published: Nov. 25, 2020

Language: Английский

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Dynamic simulation of land use change and assessment of carbon storage based on climate change scenarios at the city level: A case study of Bortala, China

Ecological Indicators, Journal Year: 2021, Volume and Issue: 134, P. 108499 - 108499

Published: Dec. 23, 2021

Exploring future changes in land use and carbon storage (CS) under different climate scenarios is important for optimizing regional ecosystem service functions formulating sustainable socioeconomic development policies. We proposed a framework that integrates the system dynamics (SD) model, patch-generating simulation (PLUS) Integrated Valuation of Ecosystem Service Tradeoffs (InVEST) model to dynamically simulate use/cover change (LUCC) CS at city level based on SSP-RCP provided by CMIP6. The simulations were applied Bortala Mongol Autonomous Prefecture Xinjiang. Changes LUCC similar SSP126 SSP245 scenarios, but woodland expansion was more rapid scenario. SSP585 scenario from those other two this mainly caused continuous reduction area construction cultivated land. By 2050, results revealed highest (193.20 Tg), followed (192.75 Tg) (185.17 Tg). Overall, study suggest increases could be achieved controlling economic growth population growth, promoting an energy transition, expanding area.

Language: Английский

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An assessment framework for climate-proof nature-based solutions

The Science of The Total Environment, Journal Year: 2018, Volume and Issue: 656, P. 691 - 700

Published: Nov. 24, 2018

Language: Английский

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Exploring future ecosystem service changes and key contributing factors from a “past-future-action” perspective: A case study of the Yellow River Basin

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 926, P. 171630 - 171630

Published: March 19, 2024

Language: Английский

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Spatial and Temporal Evolution Assessment of Landscape Ecological Resilience Based on Adaptive Cycling in Changsha–Zhuzhou–Xiangtan Urban Agglomeration, China

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 709 - 709

Published: March 26, 2025

Urban agglomeration ecosystems are impacted by human activities and natural disasters, so analyzing the spatial temporal evolution of landscape ecological resilience from perspective adaptive cycling is crucial. Using Changsha–Zhuzhou–Xiangtan urban in China as a case study, this research constructs “Risk-Potential-Connectivity” framework to evaluate resilience. This applies exploratory data analysis methods examine spatiotemporal associated patterns Geodetector model measure driving factors variation. study an cycle based on analysis, integrating potential connectivity indices classify development stages regions dynamically. The results showed that overall distribution pattern risk decreased center outward, whereas increased. average index 2000 2020 was 0.31, with declining trend shifting gravity northwest southeast. toughness exhibited high low aggregation, Moran greater than 0.75. Land-use intensity had strongest explanatory power (q = 0.3662) for differentiation drivers joint effects factor interaction higher single factors. Adaptive revealed Furong District protection stage, Xiangtan County Liling City reorganization no region yet release stage. findings offer better understanding interactive adaptation characteristics evolutionary social-ecological systems over extended periods, providing scientific support formulation strategies respond dynamic changes ecosystems.

Language: Английский

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Linking climate change and socioeconomic development to urban land use simulation: Analysis of their concurrent effects on carbon storage

Applied Geography, Journal Year: 2020, Volume and Issue: 115, P. 102135 - 102135

Published: Jan. 2, 2020

Language: Английский

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Integrating new sea‐level scenarios into coastal risk and adaptation assessments: An ongoing process

Wiley Interdisciplinary Reviews Climate Change, Journal Year: 2021, Volume and Issue: 12(3)

Published: March 22, 2021

Abstract The release of new and updated sea‐level rise (SLR) information, such as from the Intergovernmental Panel on Climate Change (IPCC) Assessment Reports, needs to be better anticipated in coastal risk adaptation assessments. This requires assessments regularly reviewed needed, reflecting information but retaining useful earlier In this paper, guidance types SLR available is presented, including for extremes. An intercomparison evolution headline projected ranges across all IPCC reports show an increase fourth fifth most recent “ Special Report Ocean Cryosphere a Changing ” assessment. have begun highlight importance potential high‐end response, mainly uncertainties Greenland/Antarctic ice sheet components, how might considered scenarios. methods that are developed here practical consider assessment, planning, long‐term decision‐making ongoing process ensure despite large uncertainties, pragmatic decisions can made. It concluded should not seen automatic reason abandoning existing assessments, opportunity review (i) assessment's robustness light science (ii) utility proactive planning strategies, especially over more uncertain longer term. article categorized under: Assessing Impacts > Scenario Development Application

Language: Английский

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Evaluating urban sustainability under different development pathways: A case study of the Beijing-Tianjin-Hebei region

Sustainable Cities and Society, Journal Year: 2020, Volume and Issue: 61, P. 102226 - 102226

Published: May 23, 2020

Language: Английский

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Development of a Multi-Dimensional Coastal Vulnerability Index: Assessing vulnerability to inundation scenarios in the Italian coast

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 772, P. 144650 - 144650

Published: Jan. 18, 2021

Language: Английский

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Assessing potential ecosystem service dynamics driven by urbanization in the Yangtze River Economic Belt, China

Journal of Environmental Management, Journal Year: 2021, Volume and Issue: 292, P. 112734 - 112734

Published: May 10, 2021

Language: Английский

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