Connectivity in the Urban Landscape (2015–2020): Who? Where? What? When? Why? and How?

Current Landscape Ecology Reports, Journal Year: 2022, Volume and Issue: 7(1), P. 1 - 14

Published: March 5, 2022

Language: Английский

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Assessing the macro-scale patterns of urban tree canopy cover in Brazil using high-resolution remote sensing images

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 100, P. 105003 - 105003

Published: Oct. 27, 2023

This study creates a 0.5 m resolution urban tree canopy (UTC) cover dataset using high-resolution remote sensing images based on the deep learning method to clarify tree-cover characteristics in Brazilian cities. The results revealed that UTC of cities is spatially heterogeneous, ranging from 5% 34%. There was difference coverage between old and new areas, with average largest near 5%. More than 76% population exposure 0∼0.2. Most have relatively high inequality human tree-covered spaces, especially northeastern southeastern Brazil. Results geographical detector models show climatic factors play major role determining patterns cities, followed by socioeconomic, geographical, soil, urbanization factors. suggests government pay more attention greening renovation projects areas formulate effective irrigation policies for limited autumn winter rainfall. also follow-up research consider effects race, history, city structure, land use, local policy further support goals sustainable development

Language: Английский

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The unequal connectivity of parks and tree canopy in 10 U.S. cities

Urban forestry & urban greening, Journal Year: 2024, Volume and Issue: 96, P. 128332 - 128332

Published: April 24, 2024

Language: Английский

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Time Is Not Money: Income Is More Important Than Lifestage for Explaining Patterns of Residential Yard Plant Community Structure and Diversity in Baltimore

Frontiers in Ecology and Evolution, Journal Year: 2020, Volume and Issue: 8

Published: April 23, 2020

Plant biodiversity is affected by limiting resources such as water, nutrients, and sunlight. In urban settings, residential yards, however, may also include the social factors of time money spent on yard care. To examine role that these precious human play in determining plant community structure diversity, we surveyed homeowners their yards 12 neighborhoods across Baltimore City County, Maryland, visiting a total 96 properties. We chose based residents’ median income (a proxy for money) lifestage time) determined ESRI’s Tapestry dataset (older [>65 most likely retired with more free time] versus younger [<65 working less time]). At each yard, studied four major types: lawn species, flowering herbaceous plants (excluding grasses), trees, invasive species. For plants, documented number, size, color flowers, calculated floral area. found harbored high diversity 89 tree 82 80 genera. Lawn richness was not related to neighborhood-level residents or income, rather, all lawns were equally weedy. Consistently, higher larger had greater abundance trees whereas rarely associated diversity. Additionally, front area than back while yards. Finally, who doing work flower colors, Overall, high-income neighborhood, large greatest biodiversity, indicating resource creating maintaining biodiverse

Language: Английский

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Assessing macro-scale patterns in urban tree canopy and inequality

Urban forestry & urban greening, Journal Year: 2020, Volume and Issue: 55, P. 126818 - 126818

Published: Sept. 13, 2020

Language: Английский

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