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6 results for “mixed-severity wildfire”
Fig. 2 in Changes In The Structure Of Assemblages Of Three Liolaemus Lizards (Iguania, Liolaemidae) In A Protected Area Of South-Central Chile Affected By A Mixed-Severity Wildfire
Fig. 2. Species of Liolaemus lizards recorded in the study area. A — L. tenuis (© G. Zúñiga); B — L. pictus (© A. H. Zúñiga); C — L. lemniscatus (© A. H. Zúñiga).
Fig. 3 in Changes In The Structure Of Assemblages Of Three Liolaemus Lizards (Iguania, Liolaemidae) In A Protected Area Of South-Central Chile Affected By A Mixed-Severity Wildfire
Fig. 3. Percentages of microhabitat use by lizards in study area according to severity of damage caused by fire.
Fig. 1 in Changes In The Structure Of Assemblages Of Three Liolaemus Lizards (Iguania, Liolaemidae) In A Protected Area Of South-Central Chile Affected By A Mixed-Severity Wildfire
Fig. 1. Study area: A — Geographical context; B — Mosaic of areas of different degrees of severity (modified from CONAF, 2014, 2015).
Data for: Differential landscape use by forest owls two years after a mixed-severity wildfire
<p><span>Owls are important avian predators in forested systems, but little is known about landscape use by most forest-adapted owl species in environments impacted by mixed-severity wildfire. To better understand species-specific patterns of post-wildfire landscape use within an owl guild we used passive acoustic monitoring using autonomous recording units. The technology is effective for multi-species surveys, especially if some species are rare, nocturnal, or difficult to detect by traditional means. In 2017 we surveyed the interior and adjacent unburned areas of a 10,700 ha mixed-severity wildfire that burned in 2015 in southwest Oregon. We used occupancy modeling to identify patterns of landscape use by five species of forest owls: barred owls (<em>Strix varia</em>), great horned owls (<em>Bubo virginianus</em>), western screech-owls (<em>Megascops kennicottii</em>), northern pygmy-owls (<em>Glaucidium californicum</em>), and northern saw-whet owls (<em>Aegolius acadicus</em>). Our results showed a positive relationship between increasing fire severity and probability of use by western screech-owls and a similar but somewhat weaker relationship for northern pygmy-owls. Barred owls were rarely detected in severely burned areas and their use decreased with increased fire severity. We observed generally low landscape use for great horned owls, which decreased with increased fire severity and at higher elevations. Thus, four out of the five species appeared to use recently burned forests at different levels, with only northern saw-whet owls showing near-complete avoidance of the burned area. These findings increase our understanding of the basic ecology of each species and highlight the varied use of burned areas within this community. These previously undocumented patterns of landscape use in burned landscapes should provide insights to managers and policymakers in the Pacific Northwest as climate shifts, and fires may increase in size, frequency, and severity. </span></p>
Data for: Differential landscape use by forest owls two years after a mixed-severity wildfire
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Data from: Patterns of flammability after a sequence of mixed-severity wildfire in dry eucalypt forests of southern Australia
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.