Issue |
E3S Web Conf.
Volume 587, 2024
International Scientific Conference on Green Energy (GreenEnergy 2024)
|
|
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Article Number | 04005 | |
Number of page(s) | 11 | |
Section | Oil Sciences and Agroecology | |
DOI | https://doi.org/10.1051/e3sconf/202458704005 | |
Published online | 07 November 2024 |
Quantifying urban green space effects on biodiversity and ecosystem function: Implications for sustainable urban planning
Tashkent State Agrarian University, Tashkent, Uzbekistan
* Corresponding author: author@email.org
As urbanization accelerates, it is crucial to assess how green spaces contribute to ecological balance and sustainability. This study aims to quantify the impact of urban green spaces on local biodiversity and ecosystem functions. By evaluating various green space types and their contributions to urban ecosystems, we seek to provide actionable insights for sustainable urban planning. We conducted a comprehensive analysis of urban green spaces across several cities, employing a combination of field surveys, remote sensing data, and ecological modeling. Metrics such as species diversity, habitat quality, and ecosystem services were assessed to determine the effectiveness of different green space configurations. Our findings indicate that diverse green space types, including parks, green roofs, and urban forests, significantly enhance biodiversity and ecosystem functions. Key metrics showed increased species richness and improved ecological services such as air purification and temperature regulation. Quantitative data revealed that larger and more varied green spaces tend to have more substantial ecological benefits. The study underscores the importance of integrating diverse and well-planned green spaces into urban environments to promote biodiversity and support essential ecosystem functions. These findings highlight the need for urban planners to prioritize green space development as a strategy for sustainable urban growth and environmental resilience.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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