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308 results for “habitat selection”
Fig. 1 in Home range, habitat use and roost-site selection by lowland female Siamese fireback Lophura diardi in northeastern Thailand
Fig. 1. Location of Sakaerat Environmental Research Station (SERS), northeastern Thailand, including the locations of 60 available sites, two food supplementary sites, 14 nesting sites, and 52 roosting sites. Polygons shown are the home range boundaries of the eight radiotagged Siamese firebacks (group A–H).
Fig. 4 in Sub-Montane Habitat Selection By A Lowland Pheasant
Fig. 4. The comparison of percentage tree cover (height>5 meters) between used areas during the three periods of the year cycle and random areas for Female 1 and Female 2 (a), and the comparison of tree density (height 0.5-3 meters) between used areas during the three periods and random areas for Female 1 and Female 2 (b).
Fig. 1. a in Sub-Montane Habitat Selection By A Lowland Pheasant
Fig. 1. a, Ranging size during different periods of the year cycle of Siamese Fireback, Female 1 and Female 2, estimated using 95% minimum convex polygons (MCP); b, 95 % MCP home range size compared in different phases of the year cycle between the two female Siamese Firebacks.
Fig. 2. A in Sub-Montane Habitat Selection By A Lowland Pheasant
Fig. 2. A comparison of slope in areas used during different periods of the year cycle and randomly chosen areas for Female 1 (a) and Female 2 (b).
Fig. 1 in Sleeping site selection in two Asian viverrids: effects of predation risk, resource access and habitat characteristics
Fig. 1. Home ranges, core areas and sleeping sites of binturongs (Arctictis binturong) and masked palm civets (Paguma larvata). Home ranges (minimum convex polygon [MCP] 95%) and core areas (MCP 50%) with sleeping sites overlaid of (a) three masked palm civets and a female binturong at Tikong, (b) a male binturong at Sesawo, and (c) location of study sites (Sesawo and Tikong) within the study area (Thung Yai Naresuan Wildlife Sanctuary – West). Different gray shades within home ranges represent core areas of each animal.
Fig. 4 in Sleeping site selection in two Asian viverrids: effects of predation risk, resource access and habitat characteristics
Fig. 4. Use and reuse of sleeping sites. Cumulative number of unique sleeping sites in relation to the total number of sites observed for two binturongs (Arctictis binturong) and three masked palm civets (Paguma larvata). Numbers of unique sleeping sites (sites that are not re-used) versus total sleeping sites observed and study areas are indicated in parenthesis.
Fig. 3 in Sleeping site selection in two Asian viverrids: effects of predation risk, resource access and habitat characteristics
Fig. 3. Use of sleeping sites within different forest types. Percentage of different forest types used (denoted as U) for sleeping sites versus forest types available (A) for two binturongs (Arctictis binturong) and three masked palm civets (Paguma larvata). Forest types are: semi-evergreen forest (SEF), mixed deciduous forest (MDF), and dry dipterocarp forest (DDF). Numbers in parenthesis after individual animals represent the number of sleeping sites used in the analysis, excluding reused sites.
Fig. 2 in Sleeping site selection in two Asian viverrids: effects of predation risk, resource access and habitat characteristics
Fig. 2. Use of vertical strata for sleeping sites. Percentage use of different vertical strata of sleeping sites by five radio-collared viverrids (two binturongs Arctictis binturong and three masked palm civets Paguma larvata). Strata are: Above canopy, Canopy, and Sub-canopy. Numbers in parenthesis represent number of sleeping sites where animals were directly observed, excluding reused sites.
Fig. 3 in Habitat selection by anchovies (Clupeiformes: Engraulidae) in a tropical bay at Southeastern Brazil
Fig. 3. Canonical correspondence analysis ordination diagram of juvenile Engraulidae abundance data, with environmental variables. Bay Zones: Sites 1, 2 and 3 (outer); 4 and 5 (inner).
Fig. 4 in Habitat selection by anchovies (Clupeiformes: Engraulidae) in a tropical bay at Southeastern Brazil
Fig. 4. Canonical correspondence analysis ordination diagram of adults Engraulidae abundance data, with environmental variables. Samples coded by seasons.
Fig. 2 in Habitat selection by anchovies (Clupeiformes: Engraulidae) in a tropical bay at Southeastern Brazil
Fig. 2. Spatial and seasonal densities of juveniles A. januaria (o) and A. tricolor (l) in the Sepetiba Bay, 1998/2000. Each sample (mark in the graphic) represents the total number of fish.
Fig. 1 in Habitat selection by anchovies (Clupeiformes: Engraulidae) in a tropical bay at Southeastern Brazil
Fig. 1. Study area, Sepetiba Bay, Brazil, with indication of the beach seine sampling sites (1-5). a - rio Prata; b - rio Corumbi; c - rio Cação; d - rio Mazomba; e - rio Guarda; f - canal São Francisco; g - canal Guandu; h - canal Itá; i - rio Piraquê; j - rio Piracão.
Data from: "Influence of natal habitat preference on habitat selection during extra-home range movements in a large ungulate"
<p>Secondary dataset used for analysis in "Influence of natal habitat preference on habitat selection during extra-home range movements in a large ungulate". Raw GPS relocation data are not publicly available due to potential ethical implications but are available from the corresponding author (Nathan Hooven, nathan.d.hooven@gmail.com) upon reasonable request. Files include:</p> <p>deer_data_6.csv: Sampled covariate values for each used and available location used in SSF analysis</p> <p>Metadata: Metadata information for deer_data_6.csv</p>
Adaptation to distinct habitats is maintained by contrasting selection at different life stages in sunflower ecotypes
<p><span>Conspecific populations living in adjacent but contrasting microenvironments represent excellent systems for studying natural selection. These systems are valuable because gene flow is expected to force genetic homogeneity except at loci experiencing divergent selection. A history of reciprocal transplant and common garden studies in such systems, and a growing number of genomic studies, have contributed to understanding how selection operates in natural populations. While selection can vary across different fitness components and life stages, few studies have investigated how this ultimately affects allele frequencies and the maintenance of divergence between populations. Here, we study two sunflower ecotypes in distinct, adjacent habitats by combining demographic models with genome-wide sequence data to estimate fitness and allele frequency change at multiple life stages. This framework allows us to estimate that only local ecotypes are likely to experience positive population growth</span> <span>(λ>1) and that the maintenance of divergent adaptation appears to be mediated via habitat- and life-stage-specific selection. We identify genetic variation, significantly driven by loci in chromosomal inversions, associated with different life history strategies in neighbouring ecotypes that optimize different fitness components and may contribute to the maintenance of distinct ecotypes. </span></p>
Herbivorous dietary selection shown by hawfinch (Coccothraustes coccothraustes) within mixed woodland habitats
<p>Knowledge of diet and dietary selectivity is vital, especially for the conservation of declining species. Accurately obtaining this information, however, is difficult, especially if the study species feeds on a wide range of food items within heterogeneous and inaccessible environments, such as the tree canopy. Hawfinches ( Coccothraustes coccothraustes ), like many woodland birds, are declining for reasons that are unclear. We investigated the possible role that dietary selection may have in these declines in the UK. Here, we used a combination of high-throughput sequencing of 261 hawfinch faecal samples assessed against tree occurrence data from quadrats sampled in three hawfinch population strongholds in the UK to test for evidence of selective foraging. This revealed that hawfinches show selective feeding and consume certain tree genera disproportionally to availability. Positive selection was shown for beech (<em>Fagus</em>), cherry (<em>Prunus</em>), hornbeam (<em>Carpinus</em>), maples (<em>Acer</em>) and oak (<em>Quercus</em>), while Hawfinch avoided ash (<em>Fraxinus</em>), birch (<em>Betula</em>), chestnut (<em>Castanea</em>), fir (<em>Abies</em>), hazel (<em>Corylus</em>), rowan (<em>Sorbus</em>) and lime (<em>Tilia</em>). This approach provided detailed information on hawfinch dietary choice and may be used to predict the effects of changing food resources on other declining passerine populations in the future.</p>
Accounting for behaviour in fine-scale habitat selection: a case study highlighting methodological intricacies
<p>Data for the article “Accounting for behaviour in fine-scale habitat selection: a case study highlighting methodological intricacies”</p> <p>By LT Beumer, NMS Schmidt, J Pohle, J Signer, M Chimienti, JP Desforges, LH Hansen, SH Pedersen, DA Rudd, M Stelvig, FM van Beest</p> <p>The data set includes five files: A readme file describing the data files, and four data files accompanying the above publication.</p> <p>For further queries please contact Larissa T. Beumer: ltbeumer@gmail.com</p> <p> </p>
Data from: "Shift in habitat selection during natal dispersal in a long-lived raptor species"
<p><strong>Abstract</strong></p> <p>Animals select their habitat along environmental gradients, but the mechanisms that constrain the ecological requirements of an individual can differ between life stages. Dispersal is a key demographic process that determines gene flow and alters species distributions, yet few empirical studies have examined whether habitat selection in animals is changing during dispersal. In this study, we examined changes in habitat preferences during natal dispersal of red kites (<em>Milvus milvus</em>), a European raptor species. By deploying solar-powered GPS-GSM transmitters on nestlings, we continuously tracked individuals up to six years (2015-2020), from fledging to settlement. We applied habitat selection functions to the tracking data using hierarchical generalized additive models, a flexible method which combines individual- and population-level inference, while allowing for the contrast of the prospecting and settlement phases. During the prospecting phase (n = 204 birds), individuals were less responsive to their environment than during the settlement phase, resulting in a predicted wide distribution in Western Europe. During the settlement phase, individuals (n = 78 birds) selected a narrower range of environmental gradients, while avoiding areas of high elevation, steep topographic slopes, high human population density and highly heterogeneous landscapes. During this phase, individuals were also more philopatric, i.e., they were more inclined to choose an environment closer to their natal area, than during the prospecting phase. Suitable habitats predicted during settlement were much more spatially contrasted than during prospecting. Our study provides empirical evidence that habitat selection changes across natal dispersal phases in a long-lived species, indicating that species conservation strategies should account for different environmental constraints before and after settlement. Furthermore, our findings underscore the importance of long-term tracking data, with sufficient sample size, to study the link between habitat selection and natal dispersal.</p>
Figure 4 in Does depth become a permissive factor for reproductive habitat selection in the reef-associate damselfish Chrysiptera cyanea?
Figure 4 – Effect of long‑day conditions with hydrostatic pressure on gonadosomatic index of the sapphire devil. Fish were reared under conditions with long-day (LD = 14: 10) by red LED lights and with hydrostatic pressure at 0 m (white column) and 3 m (black column). Fish were sampled at 1, 2, and 3 weeks after the initiation of the experiment. Each value represents mean ± SEM.
Figure 3 in Does depth become a permissive factor for reproductive habitat selection in the reef-associate damselfish Chrysiptera cyanea?
Figure 3 – Effect of hydrostatic pressure on dopaminergic activity in the whole brain of the sapphire devil. Mesh cages with 8 females were set at the surface (0 m; white column) and at the bottom (3 m; black column) of a concrete tank. Fish in the cages were sampled at 3 and 6 hours after the onset of the experiment. Dopamine (DA) and 3,4‑dihydroxyphenylacetic acid (DOPAC) in the whole brain were measured high‑performance liquid chromatography with an electrochemical detection system. Metabolic rate (DOPAC/DA) was also calculated. Each value represents mean ± SEM. Different letters indicate significant difference among groups at p <0.05.
Figure 1 in Does depth become a permissive factor for reproductive habitat selection in the reef-associate damselfish Chrysiptera cyanea?
Figure 1 – Distribution of the sapphire devil in reef lagoons. School was scored according to the number of fish (n ≤ 2; 0, 3 ≤ n 5; 1, 6 ≤ n ≤ 8; 2, 9 ≤ n; 3). Each value represents mean ± SEM. Different letters indicate significant difference among groups at p <0.05.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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