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67 results for “Bat ecology”
Figure 1 in Ilha Grande, one of the locations with the most records of bat species (Mammalia, Chiroptera) in Rio de Janeiro state: results of a long-term ecological study
Figure 1. Map of Ilha Grande with sampling points of the five studies described in this paper, conducted between 1998 and 2018 on Ilha Grande, Angra dos Reis, Rio de Janeiro state, Brazil. A map of South America is shown, detailing the location of the state of Rio de Janeiro, in southeastern Brazil, while in the enlargement is shown the state of Rio de Janeiro detailing the location of Ilha Grande.
Figure 2 in Ilha Grande, one of the locations with the most records of bat species (Mammalia, Chiroptera) in Rio de Janeiro state: results of a long-term ecological study
Figure 2. Locations in Rio de Janeiro state where bat inventories have been conducted. Numbers correspond to locations in Table 4. A map of South America is shown, detailing the location of the state of Rio de Janeiro in southeastern Brazil.
Morphological diversity in the sensory system of phyllostomid bats: implications for acoustic and dietary ecology
1. Sensory systems perform fitness-relevant functions, and specialized sensory structures allow organisms to accomplish challenging tasks. However, broad comparative analyses of sensory morphologies and their performance are lacking for diverse mammalian radiations. 2. Neotropical leaf-nosed bats (Phyllostomidae) are one of the most ecologically diverse mammal groups; including a wide range of diets and foraging behaviors, and extreme morphological variation in external sensory structures used in echolocation (nose leaf and pinnae). 3. We coupled 3D geometric morphometrics and acoustic field recordings under a phylogenetic framework to investigate the mechanisms underlying the diversification of external sensory morphologies in phyllostomids, and explored the potential implications of sensory morphological diversity to functional outputs and dietary ecology. 4. We found that the nose leaf consists of two evolutionary modules, spear and horseshoe, suggesting that modularity enabled morphological and functional diversification of this structure. 5. We found a significant association between some aspects of nose leaf shape and maximum frequency and bandwidth of echolocation calls, but not between pinnae shape and echolocation call parameters. This may be explained by the use of multiple sensory modes across phyllostomids and plasticity of some echolocation call parameters. 6. Species with different diets significantly differed in nose leaf shape, specifically in spear breadth, presence of a midrib, and cupping and anterior rotation of the horseshoe. This may relate to different levels of prey type specificity within each diet. Pinnae shape significantly differed between species that consume non-mobile, non-evasive prey (broad rounded, cupped pinnae) and mobile, evasive prey (flattened pinnae with a sharp tapering apex). This may reflect the use of different sound cues to detect prey. 7. Our results give insight into the morphological evolution of external sensory structures in bats, and highlight new links between morphological diversity and ecology.
Figure 2 in Distribution and roosting ecology of the lesser mouse-tailed bat, Rhinopoma hardwickii Gray, 1831 (Chiroptera: Rhinopomatidae)
Figure 2. The fatty abdominal tissue of Rhinopoma hardwickii.
Figure 1 in Distribution and roosting ecology of the lesser mouse-tailed bat, Rhinopoma hardwickii Gray, 1831 (Chiroptera: Rhinopomatidae)
Figure 1. The lesser mouse-tailed bat, Rhinopoma hardwickii.
Olfactory receptor alignments for: Ecological constraints on highly evolvable olfactory receptor genes and morphology in neotropical bats
<p>While evolvability of genes and traits may promote specialization during species diversification, how ecology subsequently restricts such variation remains unclear. Chemosensation requires animals to decipher a complex chemical background to locate fitness-related resources, and thus the underlying genomic architecture and morphology must cope with constant exposure to a changing odorant landscape; detecting adaptation amidst extensive chemosensory diversity is an open challenge. In phyllostomid bats, an ecologically diverse clade that evolved plant-visiting from an insectivorous ancestor, the evolution of novel food detection mechanisms is suggested to be a key innovation, as plant-visiting species rely strongly on olfaction, supplementarily using echolocation. If this is true, exceptional variation in underlying olfactory genes and phenotypes may have preceded dietary diversification. We compared olfactory receptor (OR) genes sequenced from olfactory epithelium transcriptomes and olfactory epithelium surface area of bats with differing diets. Surprisingly, although OR evolution rates were quite variable and generally high, they are largely independent of diet. Olfactory epithelial surface area, however, is relatively larger in plant-visiting bats and there is an inverse relationship between OR evolution rates and surface area. Relatively larger surface areas suggest greater reliance on olfactory detection and stronger constraint on maintaining an already diverse OR repertoire. Instead of the typical case in which specialization and elaboration are coupled with rapid diversification of associated genes, here the relevant genes are already evolving so quickly that increased reliance on smell has led to stabilizing selection, presumably to maintain the ability to consistently discriminate among specific odorants — a potential ecological constraint on sensory evolution.</p>
Ecological determinants of rabies virus dynamics in vampire bats and spillover to livestock
<p>Data and scripts for the publication</p>
Airborne eDNA documents a diverse and ecologically complex tropical bat and other mammal community
<p><span>Environmental (e)DNA has rapidly become a powerful biomonitoring tool, particularly in aquatic ecosystems. This approach has not been as widely adopted in terrestrial communities where the methods of vertebrate eDNA collection have varied from the use of secondary collectors such as blood-feeding parasites and spider webs to washing surfaces of leaves and soil sampling. Recent studies have demonstrated the potential of direct collection of eDNA from air sampling, but none have tested how effective airborne eDNA sampling might be in a </span><span>biodiverse environment.</span> <span>We used three prototype samplers to actively sample a mixed neotropical bat community in a partially controlled environment. We assess whether airborne eDNA can accurately characterize a high-diversity community with skewed abundances and to determine if filter design impacts DNA collection and taxonomic recovery. Our study provides evidence for the accuracy of airborne eDNA as a detection tool and highlights its potential for monitoring high-density, diverse assemblages such as </span><span>bat roosts. </span><span>Analysis of air samples recovered >91% of the species present and some limited relationship between species abundance and read count. Our data suggest this method can accurately depict a diverse mixed mammal community, particularly when the location is contained (e.g., a roost, den or burrow) but also highlights the potential for secondary transfer of eDNA material on clothing and equipment. Our results also demonstrate that simple, inexpensive, battery-operated homemade air samplers can collect an abundance of eDNA from the air, opening the opportunity for sampling in remote environments. </span></p>
Experimental light at night of different spectra alters movement patterns of bats along ecological corridors
<p>Data used for the study. </p> <p>Meaning of codes for "spectra" and "lamppost_side" variables:</p> <p>- C = control</p> <p>- G = green</p> <p>- R = red</p> <p>- W = white</p> <p>- L = left</p> <p>- R = right</p>
Foraging shifts and visual preadaptation in ecologically diverse bats
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The functional ecology of bat pollination in the African sausage tree Kigelia africana (Bignoniaceae)
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Data from: Ecological and behavioral determinants of sex-biased predation of katydid prey by a bat predator
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Morphological diversity in the sensory system of phyllostomid bats: implications for acoustic and dietary ecology
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Olfactory receptor alignments for: Ecological constraints on highly evolvable olfactory receptor genes and morphology in neotropical bats
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Airborne eDNA documents a diverse and ecologically complex tropical bat and other mammal community
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FIG. 2 in Roosting Ecology of Amazonian Bats: Evidence for Guild Structure in Hyperdiverse Mammalian Communities
FIG. 2. UPGMA dendrogram of 34 Amazonian bat species clustered by roosting-niche distance (see text). Numbers adjacent to internal nodes are bootstrap percentages, Roman numerals indicate multispecies groups discussed in the text, and arrows indicate unaffiliated species. Key to terminal taxa: 1, Cormura brevirostris; 2, Peropteryx kappleri; 3, P. leucoptera; 4, P. macrotis; 5, P. pallidoptera; 6, Rhynchonycteris naso; 7, Saccopteryx bilineata; 8, S. leptura; 9, Noctilio albiventris; 10, Artibeus anderseni; 11, A. glaucus; 12, A. gnomus; 13, A. planirostris; 14, Carollia brevicauda; 15, C. castanea; 16, C. perspicillata; 17, Choeroniscus minor; 18, Gardnerycteris crenulatum; 19, Glossophaga soricina; 20, Hsunycteris thomasi; 21, Lophostoma silvicolum; 22, Mesophylla macconnelli; 23, Micronycteris hirsuta; 24, M. megalotis; 25, M. microtis; 26, Phyllostomus elongatus; 27, P. hastatus; 28, Rhinophylla pumilio; 29, Trachops cirrhosus; 30, Uroderma bilobatum; 31, Furipterus horrens; 32, Thyroptera tricolor; 33, Eumops auripendulus; 34, Molossus rufus.
FIG. 1 in Roosting Ecology of Amazonian Bats: Evidence for Guild Structure in Hyperdiverse Mammalian Communities
FIG. 1. Amazonian localities from which roost observations were compiled for this report. Numbers are keyed to gazetteer entries (appendix 1). Grayscale indicates elevations>1000 m above sea level.
Figure 3. A–C in Evolution of litter size in bats and its influence on longevity and roosting ecology
Figure 3. A–C, phylogenetically informed univariate regressions of the logarithm of litter size on the logarithm of forearm length (in millimetres; A), the logarithm of litter size on the logarithm of longevity (B) and the logarithm of litter size on the logarithm of group size (C). D, violin plot of the logarithm of litter size according to roost type (binary character).
Figure 2. A in Evolution of litter size in bats and its influence on longevity and roosting ecology
Figure 2. A, reconstructed pattern of the evolution of polytocy across Chiroptera (using make.simmap of phytools). B, detail showing families Miniopteridae, Cistugidae and Vespertilionidae. Coloured circles at the nodes indicate the posterior probabilities of the states. The tree shown includes 551 species and is based on the mammal tree presented at
Figure 1 in Evolution of litter size in bats and its influence on longevity and roosting ecology
Figure 1. Polytocous bat species richness map obtained by overlapping the International Union for Conservation of Nature species geographical ranges. Warmer colours represent higher diversity. The plot on the right represents the species richness as function of latitude. Thin lines represent the maximum and minimum species richness values recorded at each latitude, and the thick line represents the mean species richness per latitude.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.