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16 results for “Roosting ecology”
Figure 3 in Distribution and roosting ecology of the lesser mouse-tailed bat, Rhinopoma hardwickii Gray, 1831 (Chiroptera: Rhinopomatidae)
Figure 3. Map shows the distribution of lesser mouse-tailed bat, Rhinopoma hardwickii. The locations of roost sites were abbreviated and shown in the map: 1) AGC – Agra, 2) SFA – Sangam Fort (Allahabad), 3) NTB – Neelkanth Temple Kalinjar (Banda), 4) BAC – Banda, 5) PKC – Purani kotwali (Chitrakoot), 6) AFE – Awagdh Fort (Etah), 7) FBC – Faizabad, 8) FPC – Fatehpur, 9) EPF – Edalpur (Firozabad), 10) JFJ– Jaunpur Fort (Jaunpur), 11) BMJ – Bukhara, Mauranipur (Jhansi), 12) JHC – Jhansi, 13) LPC – Lalitpur, 14) TFL – Talbahte Fort (Lalitpur), 15) KKL – Kakori (Lucknow), 16) TTM– Tirthankar Temple (Mahowa), 17) MFM – Mirzapur Fort (Mirzapur), 18) KBP – Khusaroo bagh, 19) RBC – Raebareli, 20) SPC – Sultanpur, 21) UNC – Unnao.
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.
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.
Data from: Echolocation and roosting ecology determine sensitivity of forest-dependent bats to coffee agriculture
Species differ in vulnerability to anthropogenic landuse changes. Knowledge of the mechanisms driving differential sensitivity can inform conservation strategies but is generally lacking for species-rich taxa in the tropics. The diverse bat fauna of Southeast Asia is threatened by rapid loss of forest and expanding agricultural activities, but the associations between species, traits, vulnerability to agriculture and the underlying drivers have yet to be elucidated. We studied the responses of speciose insectivorous bat assemblages to robusta coffee cultivation in Sumatra, Indonesia. We compared abundance, species richness and assemblage structures of bats between forests and coffee farms based on trapping data and evaluated the influence of vegetation complexity on assemblage composition and species-level reactions. Bat abundance and species richness were significantly lower in coffee farms than in forests. Bat assemblage structure differed between landuses, and the overall variation can be largely explained by vegetation simplification. Species sensitive to coffee agriculture were associated with more complex vegetation structure, whereas tolerant species were associated with simpler vegetation structure. Sensitive and tolerant species differed in the type, frequency, and bandwidth of echolocation calls and roost use. Species sensitive to coffee use broadband and high-pitched frequency-modulated calls, which are efficient at detecting insects in complex vegetation, and roost in plant structures that may be lost as vegetation is simplified. In contrast, tolerant species used lower-pitched constant frequency calls and roost in caves. We advocate for greater use of trait analyses in studies seeking to clarify the influence of agriculture on diverse tropical bat faunas.
Data from: Resource availability and roosting ecology shape reproductive phenology of rain forest insectivorous bats
Bats in temperate and subtropical regions typically synchronize birth of a single young with peaks in resource availability driven by local climate patterns. In tropical rain forest, insects are available throughout the year, potentially allowing departures from seasonal monoestry. However, reproductive energy budgets may be constrained by the cost of commuting to foraging grounds from distant roosts. To test these hypotheses, we simultaneously tracked female reproductive activity of 11 insectivorous bat species, insect biomass, and local weather variables for 20 months in a Malaysian rain forest. Five species roost in forest structures and hence have low commuting costs, whereas six species depend on caves, which are limited in the landscape, and are presumed to incur higher commuting costs to foraging sites. Monthly insect biomass was positively correlated with monthly rainfall, and there was a significant relationship between insect biomass and lactation in cave-roosting but not forest-roosting species. Cave-roosting species were seasonally monoestrus, with parturition confined to a two-month period, whereas in forest-roosting species, pregnancy and lactation were recorded throughout the year. Our results suggest that the energetic costs of commuting from roosts to foraging grounds shape annual reproductive patterns in tropical rain forest insectivorous bats. Ongoing changes in forest landscapes are likely to increase these costs for cave-roosting bats, further restricting reproductive opportunities. Climate change is projected to influence the timing of rainfall events in many tropical habitats, which may disrupt relationships between rainfall, insect biomass, and bat reproductive timing, further compromising reproductive success.
Data from: From resource to female defence: the impact of roosting ecology on a bat's mating strategy
With their extraordinary species richness and diversity in ecological traits and social systems, bats are a promising taxon for testing socio-ecological hypotheses in order to get new insights into the evolution of animal social systems. Regarding its roosting habits, proboscis bats form an extreme by occupying sites which are usually completely exposed to daylight (e.g. tree trunks, vines or rocks). This is accompanied by morphological and behavioural adaptations to remain cryptic in exposed day roosts. With long-term behavioural observations and genetic parentage analyses of individually marked proboscis bats, we assessed its social dispersion and male mating strategy during day and night. Our results reveal nocturnal male territoriality—a strategy which most closely resembles a resource-defence polygyny that is frequent also in other tropical bats. Its contrasting clumped social dispersion during the day is likely to be the result of strong selection for crypsis in exposed roosts and is accompanied by direct female defence in addition to male territoriality. To the best of our knowledge, such contrasting male mating strategies within a single day–night cycle have not been described in a vertebrate species so far and illustrate a possible evolutionary trajectory from resource-defence to female-defence strategy by small ecologically driven evolutionary steps.
Data from: From resource to female defence: the impact of roosting ecology on a bat's mating strategy
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Data from: Resource availability and roosting ecology shape reproductive phenology of rain forest insectivorous bats
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Data from: Echolocation and roosting ecology determine sensitivity of forest-dependent bats to coffee agriculture
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Data from: A multiple peak adaptive landscape based on feeding strategies and roosting ecology shaped the evolution of cranial covariance structure and morphological differentiation in phyllostomid bats
We explored the evolution of morphological integration in the most noteworthy example of adaptive radiation in mammals, the New World leaf-nosed bats, using a massive dataset and by combining phylogenetic comparative methods and quantitative genetic approaches. We demonstrated that the phenotypic covariance structure remained conserved on a broader phylogenetic scale but also showed a substantial divergence between inter-clade comparisons. Most of the phylogenetic structure in the integration space can be explained by splits at the beginning of the diversification of major clades. Our results provide evidence for a multiple peak adaptive landscape in the evolution of cranial covariance structure and morphological differentiation, based upon diet and roosting ecology. In this scenario, the successful radiation of phyllostomid bats was triggered by the diversification of dietary and roosting strategies, and the invasion of these new adaptive zones lead to changes in phenotypic covariance structure and average morphology. Our results suggest that intense natural selection preceded the invasion of these new adaptive zones and played a fundamental role in shaping cranial covariance structure and morphological differentiation in this hyper-diverse clade of mammals. Finally, our study demonstrates the power of combining comparative methods and quantitative genetic approaches when investigating the evolution of complex morphologies.
Data from: A multiple peak adaptive landscape based on feeding strategies and roosting ecology shaped the evolution of cranial covariance structure and morphological differentiation in phyllostomid bats
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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