Assessment of urbanization impacts in Tegucigalpa urban greenness via normalized difference vegetation index. DOI Creative Commons
Alexander David Reyes-Avila,

Riley Ann Baxter

Trees Forests and People, Год журнала: 2024, Номер unknown, С. 100680 - 100680

Опубликована: Сен. 1, 2024

Язык: Английский

Comparison of the CASA and InVEST models’ effects for estimating spatiotemporal differences in carbon storage of green spaces in megacities DOI Creative Commons

Ruei-Yuan Wang,

Xueying Mo,

Hong Ji

и другие.

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

Exploring non-linear urban vibrancy dynamics in emerging new towns: A case study of the Wuhan metropolitan area DOI
Zhenyu Zhang, Liyuan Zhao, Ming Zhang

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 112, С. 105580 - 105580

Опубликована: Июнь 12, 2024

Язык: Английский

Процитировано

11

The cooling capacity of urban vegetation and its driving force under extreme hot weather: A comparative study between dry-hot and humid-hot cities DOI
Zhibin Ren,

Chengcong Wang,

Yüjie Guo

и другие.

Building and Environment, Год журнала: 2024, Номер 263, С. 111901 - 111901

Опубликована: Июль 30, 2024

Язык: Английский

Процитировано

11

Spatial patterns and driving forces of urban vegetation greenness in China: A case study comprising 289 cities DOI Creative Commons

Yansong Jin,

Fei Wang, Quanli Zong

и другие.

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

Evaluation of vegetation restoration effectiveness along the Yangtze River shoreline and its response to land use changes DOI Creative Commons
Yinlan Huang, Xinyi Li, Dan Liu

и другие.

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

Insectivorous birds are more sensitive to urban greenspace changes in Guangzhou city, China DOI
Ruichen Wu, Qiang Zhang, Zezhou Hao

и другие.

Urban forestry & urban greening, Год журнала: 2024, Номер 94, С. 128243 - 128243

Опубликована: Фев. 9, 2024

Язык: Английский

Процитировано

7

The green window view index: automated multi-source visibility analysis for a multi-scale assessment of green window views DOI Creative Commons
Anna-Maria Bolte, Benjamin Niedermann, Thomas Kistemann

и другие.

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

A review of photocatalytic CO2 reduction: exploring sustainable carbon emission mitigation from thermodynamics to kinetics and strategies for enhanced efficiency DOI

Hassan Akbar,

Muhammad Subhan Javed,

Syeda Tehreem Iqbal

и другие.

Journal of the Korean Ceramic Society, Год журнала: 2024, Номер 61(3), С. 367 - 390

Опубликована: Фев. 21, 2024

Язык: Английский

Процитировано

5

Urbanization intensifies the imbalance between human development and biodiversity conservation: Insights from the coupling analysis of human activities and habitat quality DOI
Le Li, Na Wang, Zezhou Hao

и другие.

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

Dual effects on vegetation from urban expansion in the drylands of northern China: A multiscale investigation using the vegetation disturbance index DOI
Tao Qi, Qiang Ren, Chunyang He

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 928, С. 172481 - 172481

Опубликована: Апрель 16, 2024

Язык: Английский

Процитировано

4