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49 results for “Bat assemblages”
Fig. 3 in Contribution To Ecology Of Brandt'S Bat, Myotis Brandtii (Chiroptera, Vespertilionidae) In The North-Eastern Ukraine: Comparison Of Local Summer And Winter Bat Assemblages
Fig. 3. Body mass (g) characteristic of females (F) and (M) of M. brandtii in periods of spring departure April (S_dep) and swarming August (Swarm) from the Tetlega mines (dot — mean value, line — median value, whiskers — min and max values, not filling circles — outliers).
Fig. 2 in Contribution To Ecology Of Brandt'S Bat, Myotis Brandtii (Chiroptera, Vespertilionidae) In The North-Eastern Ukraine: Comparison Of Local Summer And Winter Bat Assemblages
Fig. 2. Forearm length (mm) of females (F) and males (M) of M. brandtii from Tetlega mines (dot — mean value, line — median value, whiskers — min and max values).
Fig. 1 in Contribution To Ecology Of Brandt'S Bat, Myotis Brandtii (Chiroptera, Vespertilionidae) In The North-Eastern Ukraine: Comparison Of Local Summer And Winter Bat Assemblages
Fig. 1. Allocation of M. brandtii (Mbra) and M. daubentonii (Mdau) inside the Tetlega mines from November to April (n — number of counted bats); A — in crevices or open, B — on walls or ceiling.
Figure 2 in Structure of summer bat assemblages in forests in European Russia
Figure 2. Location of main mist-netting site in the southeast part of the Voronezhsky State Nature Biosphere Reserve.
Fig. 2 in Bat assemblages of protected areas in the state of Rio de Janeiro, Brazil
Fig. 2. Non-metric multidimensional scaling (NMDS) of the Bray-Curtis distance matrix, showing the dissimilarities between the strict nature reserves (P) and the sustainable-use protected areas (U) in the state of Rio de Janeiro, Brazil surveyed between 1989 and 2013.
Fig. 1 in Bat assemblages of protected areas in the state of Rio de Janeiro, Brazil
Fig. 1. Protected areas in the state of Rio de Janeiro in which bat inventories have been conducted. The inset shows the location of Southeast Brazil in South America (the numbers correspond to those in Table III).
Fig. 3 in Bat assemblages of protected areas in the state of Rio de Janeiro, Brazil
Fig. 3. Box plot of the first axis of the Non-Metric Multidimensional Scaling (NMDS1) representing the bat assemblages and different types of habitat of each protected area sampled in the state of Rio de Janeiro, Brazil between 1989 and 2013:1, Montane Forest; 2, Restinga; 3, Submontane Forest; 4, Pasture; 5, Secondary growth Vegetation; 6, Urban; 7, Eucalypt; 8, Uppermontane Forest. Each circle represents one of the protected areas sampled.
Fig. 5 in Bat assemblages of protected areas in the state of Rio de Janeiro, Brazil
Fig. 5. Distribution of species captured in Protected Areas represented by the mean altitude categories of the sites surveyed in the state of Rio de Janeiro, Brazil between 1989 and 2013.
Fig. 4 in Bat assemblages of protected areas in the state of Rio de Janeiro, Brazil
Fig. 4. Relationship between the geographic distance between each pair of protected areas and their Bray-Curtis dissimilarity in the quantitative composition of bat assemblages in the state of Rio de Janeiro, Brazil in surveys conducted between 1989 and 2013.
Fig. 2 in The phyllostomid bat (Mammalia, Chiroptera) assemblage in a fragmented landscape in Midwestern Brazil
Fig. 2. Similarity between the sampling points of the three landscape formations indicated by the NMDS method (circle, large fragment; sQuare, riparian forest; cross, small fragments).
Fig. 1 in The phyllostomid bat (Mammalia, Chiroptera) assemblage in a fragmented landscape in Midwestern Brazil
Fig. 1. Sampling points at Fazenda Dona Amélia, Mato Grosso do Sul, Brazil (circles, points in the large fragment; stars, points in the riparian forest; triangles, points in the small fragments).
Figure 1 in Structure of summer bat assemblages in forests in European Russia
Figure 1. Location of the reserves in European Russia (B: Bryansky, O: Oksky, V: Voronezhsky).
Figure 3 in Structure of summer bat assemblages in forests in European Russia
Figure 3. Location of main mist-netting site in "Bryansky Les" State Nature Biosphere Reserve.
Figure 4 in Structure of summer bat assemblages in forests in European Russia
Figure 4. Location of main mist-netting site in Oksky State Nature Biosphere Reserve.
Increasing species richness along elevational gradients is associated with niche packing in bat assemblages
<p>1. The change in species richness along elevational gradients is a well-known pattern in nature. Niche theory predicts that increasing species richness in assemblages can either lead to denser packing of niche space ('niche packing') or an expansion into its novel regions ('niche expansion'). Traditionally, these scenarios have been studied using functional traits, but stable isotopes provide advantages such as identifying the degree of resource specialisation or niche partitioning among functionally similar species.</p> <p>2. In this study, we evaluate the relevance of niche packing vs. niche expansion by investigating stable carbon and nitrogen isotopic niche width and overlap among 23 bat species from six functional groups across a 1500 m elevational gradient in the Himalaya.</p> <p>3. Our results suggest that an increase in species richness in the low elevation is accompanied by small niche width with high overlap, whereas the high elevation assemblage shows large niche width with low overlap among functional group members. At the functional group level, edge-space foraging, trawling, and active gleaning bats have the highest niche width while passive-gleaning bats that are only found in high elevations are isotopic specialists showing low overlap with other groups. Edge and open-space foraging bats showed idiosyncratic changes in niche width across elevations. We also find that the niches of rhinolophid bats overlap with edge-space and open-space foraging bats despite their unique functional traits.</p> <p>4. These results support the idea that, at low elevations, high species richness is associated with niche packing while at high elevations, strong niche partitioning prevails in dynamic and resource-poor environments. We conclude that although high-elevation animal assemblages are often 'functionally underdispersed', i.e. show homogenous functional traits, our approach based on stable isotopes demonstrates niche partitioning among such functionally similar species.</p>
Data for: Species richness and assemblages of bats along a forest elevational transect in Papua New Guinea
Over the past decades, elevational gradients have become a powerful tool with which to understand the underlying cause(s) of biodiversity. The Mt. Wilhelm elevational transect is one such example, having been used to study the birds, insects, and plants of Papua New Guinea (PNG). However, a survey of mammals from this forest elevational transect was lacking. We thus aimed to investigate patterns in the community structure and species richness of bats (Chiroptera) along the transect, link the species to available regional data, and explain the observed patterns by including environmental characteristics. Bat assemblages were surveyed between 200 m and a timberline at 3,700 m a.s.l. at eight study sites separated by 500 m in elevation. We conducted mist-netting and acoustic surveys to detect and identify species at each site. Regional data were compiled to compare local with regional diversity. Finally, biotic (i.e., food availability, habitat features) and abiotic (i.e., mean daily temperature) factors were included in our analyses to disentangle the ecological drivers underlying bat diversity. Results revealed that species richness decreases with ascending elevation and was best explained by a corresponding decrease in temperature. We observed both turnover and nestedness of the species composition at regional scale whereas turnover was dominant at local scale. Extensions and shifts of bat elevational ranges were also found in Mt. Wilhelm. Consequently, despite that the study was restricted to one mountain in PNG, it demonstrates how basic inventory surveys can be used to address ecological questions in other similar and undisturbed tropical mountains.
Data from: Changing with the times: Seasonal environmental gradients unveil dynamic bat assemblages and vulnerability
<p>Uncovering the temporal and spatial dynamics of biological communities in response to biotic and abiotic drivers is essential to predict the effects of environmental change on biodiversity. Similarly, estimating species vulnerability in the face of such dynamics is crucial for implementing effective conservation actions. We explored how bat diversity changes over the year across an altitudinal gradient and identified the environmental drivers that shape bat communities. By analysing species' marginality within the biophysical niche space, we evaluated bats' vulnerability to foreseeable environmental changes. Our results suggest that altitude, the proportion of forest cover and shrubs cover are the main drivers shaping bat communities year-round. Additionally, while some bat species are restricted to a single ecological assemblage (or ecological preferences group), others show greater plasticity throughout the year. Importantly, we found that although bats associated with highland habitats and forests could be particularly vulnerable to environmental changes (in particular <em>Myotis mystacinus</em>), this vulnerability correlates poorly with their national conservation status. We suggest that species' ecological plasticity is critical for the resilience of biological communities exposed to environmental changes and should be considered when planning tailored conservation strategies.</p>
Increasing species richness along elevational gradients is associated with niche packing in bat assemblages
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Data from: Changing with the times: Seasonal environmental gradients unveil dynamic bat assemblages and vulnerability
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Data for: Species richness and assemblages of bats along a forest elevational transect in Papua New Guinea
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