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4 results for “physiography”
Model outputs for: "Disentangling the Local Circulations over a Region with Complex Physiography in the Eastern Amazon: A Modeling Approach"
<p>This repository contains all publicly available numerical simulations related to the paper: Disentangling the Local Circulations over a Region with Complex Physiography in the Eastern Amazon: A Modeling Approach</p>
The role of island physiography and oceanographic factors in shaping species richness and turnover of nesting seabird assemblages on islands across the southeastern Pacific
<p>For seabirds, food supplies and nest sites are largely driven by oceanographic gradients and island habitats, respectively. Research into seabirds' ecological roles in insular ecosystems is crucial to understanding processes that structure seabird nesting assemblages. We examined the influence of island physiography and oceanographic factors on the spatial variation in α and β-diversity of nesting seabird assemblages.<br> <br> <strong>Location</strong><br> Southeastern Pacific Ocean.<br> <br> <strong>Taxon</strong><br> Birds<br> <br> <strong>Methods</strong><br> We compiled data from 53 seabirds breeding on 41 coastal and oceanic islands using different sources: our field records, online databases, environmental reports, and literature. We used generalized linear models (GLM) to describe the effect of island physiography (area, elevation, and isolation) and oceanographic factors (surface temperature, salinity, and primary productivity) on seabird species richness (α-diversity). We applied multivariate GLM to test the effects of physiographic and oceanographic predictors on species composition (β-diversity). We used Jaccard dissimilarities on species occurrences per island to calculate β-diversity partitioned into turnover and nestedness. Polynomial models allowed us to model these metrics against geographical and environmental gradients and so analyze patterns in seabird β-diversity across spatial scales.<br> <br> <strong>Results </strong><br> Species richness was highest in Galápagos, Pitcairn, and Rapa Nui. Changes in seabird α-diversity across islands were determined by island area and distance to South America but not by oceanographic variables. Physiographic and oceanographic factors were significant in determining β-diversity. Changes in β-diversity were mostly due to species replacement (β-turnover) across three major island Systems (Galápagos Archipelago, Chilean coastal islands, and oceanic islands of the southeastern Pacific). The contribution of β-nestedness was restricted to small scales (within archipelagos).<br> <br> <strong>Main conclusions</strong><br> Physiographic and oceanographic factors explain species diversity of seabird assemblages on islands of the southeastern Pacific. Oceanographic variables did not affect species richness but significantly influenced species composition. Change in species composition reflects gradients across three marine biogeographical realms: Temperate South, Eastern Indo-Pacific, and Tropical Eastern Pacific. The low degree of species nestedness may reflect multiple evolutionary origins.</p>
The role of island physiography and oceanographic factors in shaping species richness and turnover of nesting seabird assemblages on islands across the southeastern Pacific
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Physiography, foraging mobility, and the first peopling of Sahul
<p><strong>The route and speed of Sahul colonization by Homo sapiens remains a major research question in archaeology. Here, we introduce an approach which models the impact of the physical environment on human mobility by combining time-evolving landscapes with Lévy walk foraging patterns, this latter accounting for a combination of short-distance steps and occasional longer moves that hunter-gatherers likely utilized forefficient exploration of new environments. Our results suggest a wave of dispersal radiating across Sahul following riverine corridors and coastlines.</strong> <strong>Estimated migration speeds, based on archaeological sites and predicted travelled distances, fall within previously reported range from Sahul and other regions. From our mechanistic movement simulations, we then analyse the likelihood of archaeological sites and highlight areas in Australia that hold archaeological potential. Our approach complements existing methods and provides interesting perspectives on the Pleistocene archaeology of Sahul that could be applied to other regions around the world.</strong></p>
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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.