Trees Forests and People, Год журнала: 2024, Номер unknown, С. 100680 - 100680
Опубликована: Сен. 1, 2024
Язык: Английский
Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Март 5, 2024
Abstract Urban green space is a direct way to improve the carbon sink capacity of urban ecosystems. The storage assessment megacity spaces great significance service function ecosystems and management zoning in future. Based on multi-period remote sensing image data, this paper used CASA model InVEST analyze spatio-temporal variation driving mechanism Shenzhen discussed applicability two models estimation space. research results showed that, from 2008 2022, addition rapid expansion construction land, area other land types significant decrease trend. that shows trend reduction amounts are 0.8 × 106 t (CASA model) 0.64 (InVEST model), respectively. evaluation show megacities, spatial lower than model, more accurate estimating can provide scientific basis for with goal "dual carbon".
Язык: Английский
Процитировано
27
Sustainable Cities and Society, Год журнала: 2024, Номер 112, С. 105580 - 105580
Опубликована: Июнь 12, 2024
Язык: Английский
Процитировано
11
Building and Environment, Год журнала: 2024, Номер 263, С. 111901 - 111901
Опубликована: Июль 30, 2024
Язык: Английский
Процитировано
11
Geography and sustainability, Год журнала: 2024, Номер 5(3), С. 370 - 381
Опубликована: Март 22, 2024
Urban vegetation in China has changed substantially recent decades due to rapid urbanization and dramatic climate change. Nevertheless, the spatial differentiation of greenness among major cities its evolution process drivers are still poorly understood. This study examined patterns across 289 2000, 2005, 2010, 2015, 2018 by using autocorrelation analysis on Normalized Difference Vegetation Index (NDVI); then, influencing factors were analyzed optimal parameters-based geographical detector (OPGD) model 18 natural anthropogenic indicators. The findings demonstrated a noticeable rise overall selected during 2000–2018. northwest east exhibited rapidest slowest greening, respectively, six sub-regions. A significant positive correlation was detected between different periods, but strength weakened over time. hot very spots southern eastern gradually shifted southwest. While pattern urban is primarily influenced wind speed (WS) precipitation (PRE), interaction PRE gross domestic product (GDP) highest explanatory power. power most decreased and, conversely, influence generally increased. These emphasize variations multiple pattern, which should be taken into account understand adapt changing ecosystem.
Язык: Английский
Процитировано
10
Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Март 31, 2024
Abstract Assessing the effectiveness of vegetation restoration along Yangtze River shoreline and exploring its relationship with land use changes are imperative for providing recommendations sustainable management environmental protection. However, impact post-implementation Conservation Project remains uncertain. In this study, utilizing Sentinel-2 satellite imagery Dynamic World data from pre- (2016) post- (2022) periods, pixel-based binary models, transition matrices, geographically weighted regression models were employed to analyze status evolution coverage shoreline. The results indicated that there had been an increase in area covered by high high-medium levels. proportion cover shifting better was 4201.87 km 2 (35.68%). Hotspots improvement predominantly located River. Moreover, areas witnessing enhanced experienced notable changes, notably conversion water crops (126.93 , 22.79%), trees (59.93 10.76%), built 10.76%). Notably, between emerged as a significant factor influencing improvement, average coefficients 0.68 0.50, respectively. These outcomes underscore significance study guiding ecological protection
Язык: Английский
Процитировано
8
Urban forestry & urban greening, Год журнала: 2024, Номер 94, С. 128243 - 128243
Опубликована: Фев. 9, 2024
Язык: Английский
Процитировано
7
Landscape Ecology, Год журнала: 2024, Номер 39(3)
Опубликована: Март 11, 2024
Abstract Context Providing accessible urban green spaces is crucial for planning and ensuring healthy, resilient, sustainable cities. The importance of visually increases due to inner development processes. Objectives This article proposes a new index, the Green Window View Index (GWVI) analyzing assessing visible vegetation, that promotes an integrated buildings at different scales levels. It defined as proportion vegetation area in field view when looking out specific window with distance window. Methods method estimating GWVI consists three steps: (a) modeling three-dimensional environment, (b) simulation two-dimensional views using modern rendering engines graphics, (c) computation . proposed tested through case study Bonn, Germany, Digital Terrain Model (DTM), CityGML-based semantic 3D City level detail (LoD) 2, airborne Light Detection Ranging (LiDAR) data, 2D land use data from official German property cadaster information system (ALKIS). Results With average processing time 0.05 s per view, 26.00% could be calculated entire visualized both 3D. Conclusion engine generates multi-scale visibility values various shapes. These are intended participatory citizenship decision-making processes analysis by architects, real-estate appraisers, investors, well landscape planners.
Язык: Английский
Процитировано
7
Journal of the Korean Ceramic Society, Год журнала: 2024, Номер 61(3), С. 367 - 390
Опубликована: Фев. 21, 2024
Язык: Английский
Процитировано
5
Land Degradation and Development, Год журнала: 2024, Номер 35(11), С. 3606 - 3626
Опубликована: Май 3, 2024
Abstract Intensified human activities have been seriously threatening the structure and ecological processes of ecosystems, resulting in habitat degradation. Therefore, coordinating coupling between quality (HQ) is crucial for high‐quality sustainable regional development well‐being. This study evaluated HQ Pearl River Delta (PRD) urban agglomeration China from 2000 to 2020 using footprint index (HFI) integrated valuation ecosystem services tradeoffs model. Then, we employed bivariate spatial autocorrelation a coordination degree (CCD) model explore synergistic relationship HQ. The results show that changes were predominantly driven by activities. gradual outward expansion resulted significant Slight improvement restoration outskirts cannot offset losses caused urbanization. During period, high‐HQ low‐HFI clusters decreased 1.02%, while low‐HQ high‐HFI increased 4.67%, two main clustering types PRD. Despite CCD HFI after 2010, continuous characteristics significantly lagged type lagged. showed an inverted U‐shaped with CCD. peaks during 2000–2020 corresponded decreasing 0.711 0.566. indicates risk decoupling gradually increased. Furthermore, levels different exhibited varying over time. These reveal spatiotemporal dislocation urbanization induced nonstationarity Urbanization exacerbates imbalance biodiversity conservation. suggest reasonably delimiting boundaries, controlling scale sprawl, strengthening protection areas undergoing rapid In addition, advocate division barrier zones, buffer built‐up areas, each tailored management measures. Our findings can provide important reference agglomerations.
Язык: Английский
Процитировано
5
The Science of The Total Environment, Год журнала: 2024, Номер 928, С. 172481 - 172481
Опубликована: Апрель 16, 2024
Язык: Английский
Процитировано
4