General or local habitat preferences? Unravelling geographically consistent patterns of habitat preference in gliding mammals

Goldingay, Ross L.

doi:10.1016/j.foreco.2021.119204

Cited by 12 publications

(2 citation statements)

References 65 publications

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“…3D, 5, Supporting information). This class contains, on average, larger and heavier gliding species, such as the largest gliding vertebrate, the Bhutan Giant Flying Squirrel Petaurista nobilis , which can weigh up to 3 kg (Goldingay 2000, Jackson 2012). Larger and heavier species have a higher gliding ratio per body mass (Socha et al 2015) and have to glide further distances to save energy from gliding compared to climbing (Dial 2003).…”

Section: Discussionmentioning

confidence: 99%

Remotely sensed tree height and density explain global gliding vertebrate richness

Wagner,

Kreft,

Nitschke

et al. 2023

Ecography

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In vertebrates, gliding evolved as a mode of energy‐efficient locomotion to move between trees. Gliding vertebrate richness is hypothesised to increase with tree height and decrease with tree density but empirical evidence for this is scarce, especially at a global scale. Here, we test the ability of tree height and density to explain species richness of gliding vertebrates globally compared to richness of all vertebrates, while controlling for biogeographical and climatic factors. We compiled a global database of 193 gliding amphibians, mammals and reptiles and created maps of species richness from extent‐of‐occurrence range maps. We paired species richness of gliding vertebrates with spatial estimates of global tree height and density and biogeographical regions (BGRs) as covariates to account for ecological and historical differences among global regions. We used univariate linear and multivariate generalised linear mixed‐effect models to evaluate relationships between species richness and tree height and density, and the interaction between both variables. We found that richness of all gliding vertebrate species increased significantly with tree height, while results for richness of gliding amphibians, mammals and reptiles alone indicated mixed responses especially among different BGRs. Mixed‐effect models mirrored these results for richness of all gliding species combined, while also revealing the mixed response to tree height and denisyt of richness of gliding amphibians, mammals and reptiles. Richness of all vertebrate species – gliding and non‐gliding – also increased with tree height and density, but at a lesser rate than richness of gliding vertebrates, indicating a greater influence of forest structure on richness patterns of gliding vertebrates. Our results support hypotheses stating that gliding in vertebrates evolved globally in tall forests as energy‐efficient locomotion between trees, and provide further evidence for the importance of forest structure to explain the distribution of gliding vertebrates.

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Section: Discussionmentioning

confidence: 99%

Remotely sensed tree height and density explain global gliding vertebrate richness

Wagner,

Kreft,

Nitschke

et al. 2023

Ecography

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“…diversity, community structure) of metapopulation systems occurring in water habitats, the focus has to move to the mesoscale analysis (Holt, 1993;Bohonak & Jenkins, 2003). In this respect, similar to many other animal taxa (Earnst et al, 2006;Kenyeres et al, 2014;Poor et al, 2020;Goldingay 2021), little is known about habitat preference and community organisation of mosquitoes at different landscape scales. Mosquitoes are an important subject of study in terms of searching for taxa that can be used as insect surrogates (Samways, 2019) and for disease ecology (Ferraguti et al, 2016) to the vector role of many of their species.…”

Section: Introductionmentioning

confidence: 99%

Predictability of the distribution of human-biting mosquitoes using large-scale habitat patterns

Kenyeres¹,

Sáringer-Kenyeres

2021

Hydrobiologia

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Mosquitoes, as vectors, are important focal insects of disease ecology. Therefore, it is essential to develop predictive models showing the rules in the distribution of mosquito species at different scales of the landscape structure. However, little is known about the macrotoposcape-scale habitat preference of the mosquitoes. Based on the above deficiency, the main aim of our study was to reveal characteristic landscape factors being decisive in the occurrence of species significant in terms of human harm. We used the 10 9 10 km UTM grid scale and a Central European area with a heterogeneous landscape for the study. 6,751 presence-absence data of 54 taxa were digitised in 929 UTM quadrats. A 1:100,000 scale Corine Land Cover map was used to determine the relative surface cover of different habitat types at the scale of the topographical macro-, meso-and microregions. For the statistical analyses, Spearman's rank correlation, Canonical Correspondence Analysis and Generalised Linear Model were used. According to our results, landscape heterogeneity of natural habitats at mesoregional scale (2-3 km 2 sized subregions) significantly increases the diversity of mosquitoes. Cover of the habitat types was also effective at mesoregional scale. We found no statistical correlation at macro-and microregional scales between parameters of the habitat structure and the distribution of mosquitoes. It is important that most of the species which harm humans were attached to natural habitats. Based on this fact, biological control of mosquitoes needs complex ecological planning (reducing vector organisms with the protection of landscape-scale ecosystems).

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Logging and wildfire limit the distribution of a vulnerable arboreal mammal

Lefoe

Rendall

McKinnon

et al. 2022

Forest Ecology and Management

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General or local habitat preferences? Unravelling geographically consistent patterns of habitat preference in gliding mammals

Cited by 12 publications

References 65 publications

Remotely sensed tree height and density explain global gliding vertebrate richness

Remotely sensed tree height and density explain global gliding vertebrate richness

Predictability of the distribution of human-biting mosquitoes using large-scale habitat patterns

Logging and wildfire limit the distribution of a vulnerable arboreal mammal

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