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61 results for “habitat disturbance”
Habitat use of Amazonian birds varies by age and foraging guild along a disturbance gradient
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Data from: Indirect effects of habitat disturbance on invasion: nutritious litter from a grazing resistant plant favors alien over native Collembola
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Data from: Fish in habitats with higher motorboat disturbance show reduced sensitivity to motorboat noise
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Data from: Disturbance, microclimate and historical habitat connectivity determine the population performance of the threatened grassland specialist Carex caryophyllea in remnant grasslands
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Data from: Identifying priority habitats for dung beetle conservation: Taxonomic and functional responses across a land-use disturbance gradient
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Data from: Influence of habitat availability and fire disturbance on the northern range boundary of eastern white cedar (Thuja occidentalis L.)
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Variation in DRD4 gene methylation in wild great tits is associated with behavioural tolerance for human disturbance but not with habitat urbanization
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Data from: Estimating sensitivity of seabed habitats to disturbance by bottom trawling based on the longevity of benthic fauna
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Data in support of: Mega-disturbances cause rapid decline of mature conifer forest habitat in California
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Predictive multi-scale occupancy models at range-wide extents: effects of habitat and human disturbance on distributions of wetland birds
<p><span><i>Aim:</i> Predicting distributions is fundamental to ecology, yet hindered by spatially-restricted sampling, scale-dependent relationships, and detection error associated with field surveys. Predictive species distribution models (SDMs) are nonetheless vital for conservation of many species. We developed a framework for building predictive SDMs with multi-scale data, and used it to develop range-wide breeding-season SDMs for 14 marsh bird species of concern.</span></p> <p><span><i>Location: </i>USA.</span></p> <p><span><i>Methods: </i>We built SDMs using data from range-wide surveys conducted over 14 years, and habitat and disturbance covariates measured at multiple spatial scales. We built hierarchical occupancy models that included heterogeneity in detectability during sampling, and used Bayesian model selection to regulate model complexity (covariates and scales) based explicitly on spatial predictive abilities. We thus integrated model selection for optimizing out-of-sample prediction, range-wide sampling over broad conditions, multi-scale analyses and scale-optimization, and species-specific detectability for a suite of wide-ranging species. </span></p> <p><span><i>Results: </i>Distributions of marsh birds were affected by local wetland conditions, but also by agricultural, urban, and hydrologic disturbances operating from local scales (100 – 500 m) to the watershed level. Variables measuring human disturbances improved prediction for most species, and every species was affected by attributes at > 1 scale. Five species showed evidence for continental-scale range contraction during the study.</span></p> <p><span><i>Main conclusions: </i>We demonstrate how hierarchical occupancy models can be optimized for prediction across a species' range at the extent of a continent while also accounting for imperfect detection, and thus describe a generalizable approach that can be used for any species. We provide the first data-driven, empirical SDMs built at the range-wide extent for most of our 14 study species and demonstrate that previous studies focused on local distributions and the effects of fine-scale wetland vegetation missed important broad-scale drivers of occupancy for marsh birds. </span></p>
Data from: Mountain Plover habitat selection and nest survival in relation to weather variability and spatial attributes of Black-tailed Prairie Dog disturbance
<p>Habitat loss and altered disturbance regimes have led to declines in many species of grassland and sagebrush birds, including the imperiled Mountain Plover (<i>Charadrius montanus</i>). In certain parts of their range Mountain Plovers rely almost exclusively on Black-Tailed Prairie Dog (<i>Cynomys ludovicianus</i>) colonies as nesting habitat. Previous studies have examined Mountain Plover nest and brood survival on prairie dog colonies, but little is known about how colony size and shape influence these vital rates or patterns of habitat selection. We examined how 1) adult habitat utilization, 2) nest-site selection, and 3) nest success responded to a suite of local- and site-level variables on large prairie dog colony complexes in northeastern Wyoming. Abundance of adult Mountain Plovers was highest on points within older, "medium"-sized (100–500 ha) colonies with high cover of annual forbs and bare ground (5.8 birds/km<sup>2</sup>), but lower on extremely large (>2000 ha) colonies (2.1 birds/km<sup>2</sup>). Nest sites were characterized by high proportions of annual forbs and bare ground and low cactus cover and vegetation height. Nest survival was higher for older nests, and nests with lower cactus cover, and decreased with increasing temperatures. Uncertainty was high for models of daily nest survival, potentially because of two competing sources of nest failure: nest depredation and nest abandonment or inviability of eggs. Drivers of these two sources of nest failure differed, with inclement weather and higher temperatures associated with nest abandonment or egg inviability. We highlight how prairie dogs alter vegetation structure and bare ground heterogeneously across the landscape, and how this in turn influences bird abundance and nest distribution at different temporal and spatial scales. Furthermore, our work reveals how partitioning the causes of nest failure during nest survival analyses enhances understanding of survival rate covariates.</p>
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>
Figure 4 from: Gerisch M (2011) Habitat disturbance and hydrological parameters determine the body size and reproduction strategy of alluvial ground beetles. ZooKeys 100: 353-370. https://doi.org/10.3897/zookeys.100.1427
Figure 4 - Partitioning the effects of four environmental compartments hydrology, disturbance, habitat type, and species diversity on the variation of ground beetle life-history traits. See Table 2 for a description of the variables included in each compartment. Values < 0.03 are not shown.
Figure 2 from: Gerisch M (2011) Habitat disturbance and hydrological parameters determine the body size and reproduction strategy of alluvial ground beetles. ZooKeys 100: 353-370. https://doi.org/10.3897/zookeys.100.1427
Figure 2 - PCA of the reduced environmental dataset. Points represent the sampling plots and the colours the different habitat types: Black = floodchannels, grey = mesophilous grassland, white = humid grassland.
Figure 1 from: Gerisch M (2011) Habitat disturbance and hydrological parameters determine the body size and reproduction strategy of alluvial ground beetles. ZooKeys 100: 353-370. https://doi.org/10.3897/zookeys.100.1427
Figure 1 - Grassland habitats displaying different hydrological conditions in the study site Steckby. Copyright Mathias Scholz (UFZ, Leipzig).
Figure 3 from: Gerisch M (2011) Habitat disturbance and hydrological parameters determine the body size and reproduction strategy of alluvial ground beetles. ZooKeys 100: 353-370. https://doi.org/10.3897/zookeys.100.1427
Figure 3 - Relationship between environmental variables and species occurrence A and occurrence of species traits B by means of Redundancy Analysis. Points represent the sampling plots. Species scores omitted due to clarity. The colours indicate the habitat type of the sampling plots: black=floodchannels, grey=mesophilous grassland, white=humid grassland. Traits and species that accounted most for the explained variance along the first RDA axis are plotted in italics.
Predictive multi-scale occupancy models at range-wide extents: effects of habitat and human disturbance on distributions of wetland birds
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Data from: Repeated habitat disturbances by fire decrease local effective population size
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Data from: Mountain Plover habitat selection and nest survival in relation to weather variability and spatial attributes of Black-tailed Prairie Dog disturbance
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Bird habitat preferences are related to habitat type and disturbance in the Owabi Wildlife Sanctuary, Ashanti Region (Ghana)
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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)
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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.