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303 results for “habitat preference”
FIGURE 3. Crotonia ovata Olszanowski, 2000, male a in New species of Crotonia (Acari: Oribatida) from Tasmania Rainforest, and the habitat preferences of Crotoniidae
FIGURE 3. Crotonia ovata Olszanowski, 2000, male a) dorsal; b) ventral.
FIGURE 1 in New species of Crotonia (Acari: Oribatida) from Tasmania Rainforest, and the habitat preferences of Crotoniidae
FIGURE 1. Crotonia tasmaniana sp. nov. Female a) dorsal; b) ventral
FIGURE 1 in A long-lasting taxonomic problem in European Sympycnus resolved, with the description of a new species and data on habitat preferences
FIGURE 1. Sympycnus pulicarius (Dolichopus) (lectotype), hind leg (photo: Y. Brodin, NRM).
Fig. 3 in Habitat Preferences And Activity Patterns Of The Larger Mammal Community In Phnom Prich Wildlife Sanctuary, Cambodia
Fig. 3. Camera-trap photographs from Phnom Prich Wildlife Sanctuary: a. leopard; b. gaur; c. banteng; and d. Asian elephant.
Bird habitat preferences are related to habitat type and disturbance in the Owabi Wildlife Sanctuary, Ashanti Region (Ghana)
<p><b>Context:</b> Globally, an estimated 1.3% of the bird population has gone extinct over the last millennia largely due to loss of habitat preferences.</p> <p><b>Aims:</b> This short-term study investigated disturbance-related drivers as predictors of bird habitat selection and assemblages in the Owabi Ramsar wetland.</p> <p><b>Methods:</b> The study was carried out over a five-month period (May to September 2019), in four habitat types (farmlands, Built-up, forest reserve, and open water area). Data was collected in 84 plots across four habitats, using a point-count cantered technique. The Gambin model, nMDS, Chao-1, and Hill numbers models were used to evaluate bird distribution, habitat preferences, and diversity, while the CCA ordination technique was performed to examine the influence of drivers on bird assemblages.</p> <p><b>Key results:</b> In all 1,260 individual birds, belonging to 81 species were identified. The Majority of the birds preferred the farmlands and built-up habitats in spite of the severe disturbance (e.g., crop farming, sand winning, and fire), accounting for 55.39% variability in their community structure. The open water was the least preferred habitat and was dominated by the White-faced whistling duck. Despite the drop in species similarity with increasing disturbance from the open water to the built-up, fewer than five species were widely distributed in all the four habitats (e.g., Bronze-mannikins and White-throated bee eater), indicating their broad range habitat preferences and ability to adapt to varied conditions. The forest reserve tended to be the most diverse, reflecting the spatial distribution of birds mediated by nesting microhabitats, varied food availability, less predation, and low disturbance.</p> <p><strong>Conclusions:</strong> The study adds to previous work on the impact of increasing disturbance on the Owabi Ramsar wetland ecosystem. This study particularly highlights the role of disturbance-related drivers and habitat type in bird habitat preference and the need to intensify conservation activities within the catchment of the Owabi Wildlife Sanctuary.</p> <p><b>Implications:</b> Giving the increasing level of disturbance, there is the likelihood that the forest and water-dependent bird population will decline sooner if managers of the wildlife sanctuary fail to halt dumped solid waste in the open water, logging and expansion of croplands into the forest reserve.</p>
Age-specific habitat preference, carrying capacity, and landscape structure determine the response of population spatial variability to fishing-driven age truncation
<p>1. Understanding the mechanisms underlying spatial variability of exploited fish is critical for the sustainable management of fish stocks. Empirical studies suggest that size-selective fishing can elevate fish population spatial variability (i.e., more heterogeneous distribution) through age truncation, making the population less resilient to changing environment. However, species differ in how their spatial variability respond to age truncation and the underlying mechanisms remain unclear.</p> <p>2. We hypothesize that age-specific habitat preference, together with environmental carrying capacity and landscape structure, determines the response of population spatial variability to fishing-induced age truncation. To test these hypotheses, we design an individual-based model of an age-structured fish population on a two-dimensional landscape under size-selective fishing. Individual fish reproduces and survives, and moves between habitats according to age-specific habitat preference and density-dependent habitat selection.</p> <p>3. Population spatial variability elevates with increasing age truncation and the response is stronger for populations with stronger age-specific habitat preference. On a gradient landscape, reducing carrying capacity elevates the relative importance of density-dependence in habitat selection, which weakens the response of spatial variability to age truncation for populations with strong age-specific habitat preference. On a fragmented landscape, both populations with strong and weak age-specific habitat preferences are restricted at local optimal habitats, and reducing carrying capacity weakens the responses of spatial variability to age truncation for both populations.</p> <p>4. Synthesis and applications. We demonstrate that to track and predict the changes in population spatial variability under exploitation, it is essential to consider the interactive effects of age-specific habitat preference, carrying capacity, and landscape structure. To improve spatial management in fisheries, it is crucial to enhance empirical and theoretical developments in the methodology to quantify age-specific habitat preference of marine fish, and to understand how climatic change influences carrying capacity and landscape continuity.</p>
Supplementary material 2 from: Song C, Liu H, Gao J (2019) Habitat preference and potential distribution of Magnolia officinalis subsp. officinalis and M. o. subsp. biloba in China. Nature Conservation 36: 93-111. https://doi.org/10.3897/natureconservation.36.36171
: Data type: statistical data
Supplementary material 1 from: Song C, Liu H, Gao J (2019) Habitat preference and potential distribution of Magnolia officinalis subsp. officinalis and M. o. subsp. biloba in China. Nature Conservation 36: 93-111. https://doi.org/10.3897/natureconservation.36.36171
: Data type: statistical data
Figure 2 in Roost characteristics and habitat preferences of Indian flying fox (Pteropus giganteus) in urban areas of Lahore, Pakistan
Figure 2. GIS-based map of Lalazar garden showing its boundary and roosts of the Indian flying fox populations.
Figure 5 in Iranian Branchiostoma species (Cephalochordata, Branchiostomatidae) inhabiting Chabahar Bay (Gulf of Oman), with remarks on habitat preferences
Figure 5. Cluster analysis shows similarity of Branchiostoma lanceolatum collected in the present study with congeners from the Mediterranean Sea, based on the 5 characters (except total myotome) listed in Table 2 of Poss and Boschung (1996) plus B. japonicum (Zhang et al., 2006).
Fig. 4 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 4. Our first picture of Aradus brenskei, Lede, 07.V.2020. © Brecht Verkempinck.
Fig. 6. Screening the study area for habitat structures, 6.VI.2020 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 6. Screening the study area for habitat structures, 6.VI.2020. © Brecht Verkempinck.
Fig. 7 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 7. Post-sunset inspection of habitat structures, Lede, 17.VIII.2020. © Robin Van Heghe.
Fig. 14 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 14. Degree of decay of the colonised structures.
Fig. 21. Feeding from bark crevices, location 24 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 21. Feeding from bark crevices, location 24, Lede, 7.VII.2020. © Brecht Verkempinck.
Fig. 13 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 13. Deadwood volume (diameter) of the colonised structures.
Fig. 12 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 12. Deadwood type of the colonised structures.
Fig. 25 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 25. Destruction of colonised structures, Lede, 18.XI.2020. © Brecht Verkempinck.
Fig. 24 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 24. Indication of parental care, location 50, Lede, 17.VIII.2020. © Brecht Verkempinck.
Fig. 19 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 19. Larvae feeding on fruitbody, location 1, Lede, 30.VII.2020. © Brecht Verkempinck.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.