
Urban Climate, Journal Year: 2024, Volume and Issue: 58, P. 102165 - 102165
Published: Nov. 1, 2024
Language: Английский
Urban Climate, Journal Year: 2024, Volume and Issue: 58, P. 102165 - 102165
Published: Nov. 1, 2024
Language: Английский
Environment International, Journal Year: 2025, Volume and Issue: unknown, P. 109310 - 109310
Published: Jan. 1, 2025
Language: Английский
Citations
3Nature Sustainability, Journal Year: 2025, Volume and Issue: unknown
Published: March 3, 2025
Language: Английский
Citations
1Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106341 - 106341
Published: March 1, 2025
Language: Английский
Citations
1Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Jan. 14, 2025
Urban expansion has triggered significant changes in soil organic carbon (SOC), profoundly affecting the global cycle. The accurate prediction of distribution urban SOC and assessment impact future on are essential for management. By using data from 377 locations, this study estimated projected under two socioeconomic scenarios: SSP126 SSP585. results showed that compared with density 2000 (64.75 Mg C ha− 1), by 2100 decreased 1.19% 4.72% SSP585 scenarios, respectively. However, stocks increased 66.13% 178.75% SSP585, respectively, reflecting a "carbon transfer" natural ecosystems to land use. This provides critical insights into dynamics underscores necessity balance ecosystem protection reduce loss stabilise balance.
Language: Английский
Citations
0One Earth, Journal Year: 2025, Volume and Issue: unknown, P. 101234 - 101234
Published: March 1, 2025
Language: Английский
Citations
0Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)
Published: March 19, 2025
Abstract Earth System Models (ESMs) require current and future projections of land use landcover change (LULC) to simulate land-atmospheric interactions global biogeochemical cycles. Among the most utilized systems in ESMs are Community Land Model (CLM) Land-Use Harmonization 2 (LUH2) products. Regional studies also these products by extending coarse finer resolutions via downscaling or using multisector dynamic (MSD) models. One such MSD model is Global Change Analysis (GCAM), which has its own independent module, but often relies on CLM LUH2 as spatial inputs for base years. However, this requires harmonization thematically incongruent at multiple resolutions, leading uncertainty error propagation. To resolve issues, we develop a consistent LULC system conterminous United States adaptable frameworks support research regional level. Using empirically derived products, developed series maps contemporary years observation 30-m resolution that flexibility interchangeability amongst LUH2, CLM, GCAM classification systems.
Language: Английский
Citations
0Nature-Based Solutions, Journal Year: 2025, Volume and Issue: unknown, P. 100232 - 100232
Published: April 1, 2025
Language: Английский
Citations
0Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1426 - 1426
Published: April 17, 2025
Urban green spaces (UGSs) are critical for landscape, ecological, and climate studies. However, the generation of long-term annual UGSs maps is often constrained by lack sufficient, high-quality training samples classifiers. In this study, we introduce an automatic sample migration method based on visually interpreted reference data Landsat imagery, implemented Google Earth Engine (GEE) platform, to produce Tianjin from 1984 2022. Migrating each year significantly improved classification performance, especially water bodies. coverage in areas increased 5% 38%, resulting more reliable trend detection. Our spatiotemporal analysis revealed that study area reached up 40%, dominated tree cover underestimated existing global regional land products. Distinct temporal patterns emerged between old built-up (OBUA) new (NBUA). Early UGS decline was largely driven NBUAs, while post-2007 greening involved both OBUAs as captured vegetation indices. proposes a scalable practical framework mapping rapidly urbanizing regions, with enhanced potential higher-resolution becomes increasingly accessible.
Language: Английский
Citations
0Urban Climate, Journal Year: 2024, Volume and Issue: 58, P. 102165 - 102165
Published: Nov. 1, 2024
Language: Английский
Citations
2