From Conservation to Development: A Study of Land Use and Ecological Changes to Vegetation Around the Hainan Tropical Rainforest National Park

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2403 - 2403

Published: March 10, 2025

Global ecosystems, particularly in biodiversity-rich tropical rainforests, are increasingly under pressure from human activities. As socio-economic development continues and populations steadily grow, the effective planning of areas surrounding national parks has become a global challenge. This study, based on remote sensing data utilizing landscape ecology tools, such as ArcGIS 10.8, GeoDa 1.20, Fragstats 4.2, combines spatial statistical methods, trend analysis, Hurst index to conduct long-term analysis forecast future trends vegetation ecological quality indicators (VEQI) pattern changes within around Hainan Tropical Rainforest National Park. VEQI across various buffer zones were also assessed. Our results show that both arable built-up land increased, especially 2002 2022. Arable decreased 5566.8 km2 4796.8 km2, then increased 5904.6 km2; expanded 163.97 314.59 reflecting urbanization. Spatiotemporal revealed 42.54% study area experienced significant changes, with 24.05% increase (mainly northwest) an 18.49% decrease southeast). The improvements consistent all zones, most growth 7.5 km zone. Landscape indices indicated high fragmentation coastal areas, while inland remained stable, tension between conservation These findings provide theoretical basis for zone policies park.

Language: Английский

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Quantifying the Urban Parks' Cooling Effects on Land Surface Temperature in Istanbul Using Random Forest

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 28, 2025

Urban parks are critical in mitigating urban heat island effects, regulating temperature, and improving microclimates. This study investigates the cooling impact of twenty Başakşehir, Istanbul, using remote sensing techniques, GIS-based analysis, statistical modeling. Key environmental variables, including Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), Built-up (NDBI), Water (NDWI), were analyzed within buffer zones ranging from 100 to 900 meters. use classes classified Random Forest algorithm, a robust machine learning technique commonly applied spatial analysis. The revealed that significantly have lower LST, with effect persisting up 500 meters (p > 0.05) decreasing beyond < 0.05). It was observed surface temperatures varied between 33.3°C 37.7°C summer 6.8°C 9.5°C winter. When land examined, it determined areas 30–35% water surfaces remained relatively low (0–2%), indicating contribution limited. Among indices evaluated, NDVI emerged as most influential factor, positively correlating Park Cooling Intensity (PCI, r = 0.93). Parks larger sizes showed more substantial Efficiency (PCE) Gradient (PCG) metrics highlighting their broader impact. These findings underscore necessity strategic planning optimize park distribution size, ensuring sustainable benefits rapidly urbanizing areas.

Language: Английский

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The ideal characteristics of landscape pattern and morphological spatial pattern for seasonal cool island regulation in urban park green space

Urban forestry & urban greening, Journal Year: 2025, Volume and Issue: unknown, P. 128813 - 128813

Published: April 1, 2025

Language: Английский

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Nonlinear and interacting influence of 2D/3D factors on park cooling effect in China using Gradient Boosting Decision Tree and Shapely

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 113066 - 113066

Published: April 1, 2025

Language: Английский

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Decoding the cooling potential of urban green spaces: A cross-city investigation of driving factors in 311 Chinese cities under varying climate zones

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106410 - 106410

Published: April 1, 2025

Language: Английский

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