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Avian preference for close proximity to human habitation and its ecological consequences 被引量:3
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作者 Anders Pape MOLLER Mario DiAZ 《Current Zoology》 SCIE CAS CSCD 2018年第5期623-630,共8页
Human proximity often have negative consequences for wildlife. However, animals may also benefit from human proximity in terms of availability of resources and protection against predators and parasites. We recorded t... Human proximity often have negative consequences for wildlife. However, animals may also benefit from human proximity in terms of availability of resources and protection against predators and parasites. We recorded the distance between all birds detected during the breeding season along 18 5-kin transects and the nearest inhabited house in three areas of 50 km2 in Spain, France, and Denmark. More than three quarters of birds were located closer than 100 m to the nearest house, while the null expectation was less than a third. Mean distance for species was correlated with degree of bird urbanization and with flight initiation distance. Habitat specialist species with small breeding territories tended to live closer to houses. Birds from species having more broods per year, larger annual fecundity and lower nest predation rate lived closer to human habitation. Breeding range size, population density, and continental breeding population sizes were larger for species living closer to human habitation. Most relationships between distance to houses and bird traits had a strong phylogenetic signal, but most additive trait effects remained after phylogenetic correction. Proximity to human habitation was a main driver of the distribution of birds, with most individuals and species tightly linked to inhabited houses. Living close to human habitation was associated with success in the colonization of urban habitats and with consistent changes in distribution, abundance, behavior, and life history. Replicated measurements of the spatial and tempo- ral variation in these distributions may be useful for monitoring and analyzing the ongoing process of organisms' urbanization. 展开更多
关键词 BIRDS distance to nearest house flight initiation distance humans REFUGE urbanization.
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Development of a modified thermal humidity index and its application to human thermal comfort of urban vegetation patches 被引量:4
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作者 Xiaorou Zheng Na Zhang Xin Wang 《Ecosystem Health and Sustainability》 SCIE 2022年第1期242-259,共18页
Extremely hot environments can trigger serious health problems.To evaluate the effects of microclimate on thermal comfort,we proposed and validated a modified thermal humidity index(MTHI)that combined air temperature ... Extremely hot environments can trigger serious health problems.To evaluate the effects of microclimate on thermal comfort,we proposed and validated a modified thermal humidity index(MTHI)that combined air temperature and relative humidity with land surface temperature(LST).MTHI was more sensitive to microclimate changes than the general thermal humidity index that includes only T and RH,and thus the thermal comfort could be better indicated.In an urban riparian buffer study,we estimated the temporal dynamics and spatial distribution of MTHI values for 47 vegetation patches and explored how structural characteristics of patches affect the thermal comfort.The results showed that planting could significantly reduce LST and MTHI.Vegetation patches with complex vertical structures had considerably higher thermal comfort than those with simple structures.Decreasing nearest distance to river or increasing plant abundance could reduce the thermal discomfort.There were significant differences in the structure characteristics between the patches with MTHI<70 and those with MTHI>70,implying the critical thresholds of variations in thermal comfort with patch structure.Given that people always feel uncomfortable during the daytime in July,optimizing the patch structure is essential to improve the microclimate regulation services of an urban landscape. 展开更多
关键词 Land surface temperature nearest distance to river vertical vegetation structure vegetation coverage tree canopy density adjacent patch index
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