Impacts of eco-environmental quality, spatial configuration, and landscape connectivity of urban vegetation patterns on seasonal land surface temperature in Harare metropolitan city, Zimbabwe

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dc.contributor.authorKowe, Pedzisai
dc.contributor.authorMutanga, Onisimo
dc.contributor.authorDube, Timothy
dc.date.accessioned2023-06-15T12:28:33Z
dc.date.available2023-06-15T12:28:33Z
dc.date.issued2022
dc.description.abstractThe study examined the impact of eco-environmental quality conditions, spatial configurations and landscape connectivity of urban vegetation on seasonal land surface temperature (LST) in Harare, Zimbabwe between May and October 2018. The results showed that densely built-up areas with sparse vegetation experienced extremely poor eco-environmental conditions. Clustered and highly connected were more beneficial in decreasing LST. These findings have important urban and landscape planning implications regarding how the spatial configuration and land-scape connectivity patterns of urban vegetation can be optimized to mitigate Urban Heat Island (UHI) effects and to improve the thermal comfort conditions in rapidly urbanizing cities.en_US
dc.identifier.citationKowe, P. et al. (2022). Impacts of eco-environmental quality, spatial configuration, and landscape connectivity of urban vegetation patterns on seasonal land surface temperature in Harare metropolitan city, Zimbabwe. African Geographical Review. https://doi.org/10.1080/19376812.2022.2117215en_US
dc.identifier.issn2163-2642
dc.identifier.urihttps://doi.org/10.1080/19376812.2022.2117215
dc.identifier.urihttp://hdl.handle.net/10566/9101
dc.language.isoenen_US
dc.publisherTaylor and Francis Groupen_US
dc.subjectAgricultureen_US
dc.subjectGeographyen_US
dc.subjectZimbabween_US
dc.subjectGlobal warmingen_US
dc.subjectUrban vegetationen_US
dc.titleImpacts of eco-environmental quality, spatial configuration, and landscape connectivity of urban vegetation patterns on seasonal land surface temperature in Harare metropolitan city, Zimbabween_US
dc.typeArticleen_US

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