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27 results for “Bioclimatic variables”
Figure 1 in Potential geographic distribution niche modeling based on bioclimatic variables of three species of Temnomastax Rehn and Rehn, 1942 (Orthoptera: Eumastacidae)
Figure 1. Male specimens of some studied species. (a) Temnomastax hamus Rehn and Rehn, 1942 from Minas Gerais, Brazil; (b) Temnomastax ricardoi Descamps, 1973 and (c) Temnomastax tigris (Burr, 1899) from Mato Grosso do Sul, Brazil (photos used with permission of the authors: Marcos Cesar Campis (a) and Paulo Robson de Souza (c).
The way bioclimatic variables are calculated has impact on potential distribution models
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Data from: MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling
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Data from: Bioclimatic variables derived from remote sensing: assessment and application for species distribution modeling
Remote sensing techniques offer an opportunity to improve biodiversity modeling and prediction worldwide. Yet, to date, the weather-station based WorldClim dataset has been the primary source of temperature and precipitation information used in correlative species distribution models. WorldClim consists of grids interpolated from in situ station data recorded primarily from 1960 to 1990. Those datasets suffer from uneven geographic coverage, with many areas of Earth poorly represented. Here, we compare two remote sensing data sources for the purposes of biodiversity prediction: MERRA climate reanalysis data and AMSR-E, a pure remote sensing data source. We use these data to generate novel temperature-based bioclimatic information and to model the distributions of 20 species of vertebrates endemic to four regions of South America: Amazonia, the Atlantic Forest, the Cerrado, and Patagonia. We compare the bioclimatic datasets derived from MERRA and AMSR-E information with in situ station data, and contrast species distribution models based on these two products to models built with WorldClim. Surface temperature estimates provided by MERRA and AMSR-E showed warm temperature biases relative to the in situ data fields, but the reliability of these datasets varied in geographic space. Species distribution models derived from the MERRA data performed equally well (in Cerrado, Amazonia, and Patagonia) or better (Atlantic Forest) than models built with the WorldClim data. In contrast, the performance of models constructed with the AMSR-E data was similar to (Amazonia, Atlantic Forest, Cerrado) or worse than (Patagonia) that of models built with WorldClim data. Whereas this initial comparison assessed only temperature fields, efforts to estimate precipitation from remote sensing information hold great promise; furthermore, other environmental datasets with higher spatial and temporal fidelity may improve upon these results.
TABLE 1. 13 bioclimatic variables from the 19 in A revision of Anadolua (Orthoptera: Tettigoniidae: Tettigoniinae) based on morphological and bioacoustic characters: Newly confirmed data suggesting a new synonym and two new species
<p><b>TABLE 1</b>. 13 bioclimatic variables from the 19 input variables have collinearity problem. After excluding the collinear variables, the linear correlation coefficient ranges between min correlation (bio8~bio4). -0.0037, max correlation (bio4~bio14): -0.783.Descriptive statistics for morphological measurements of the both sexes (mean and standard error).</p><table><tbody><tr><th>Variables</th><th>VIF</th></tr></tbody><tbody><tr><th>Bio1</th><td>3.345</td></tr><tr><th>Bio3</th><td>2.703</td></tr><tr><th>Bio4</th><td>5.227</td></tr><tr><th>Bio8</th><td>3.195</td></tr><tr><th>Bio14</th><td>6.855</td></tr><tr><th>Bio15</th><td>2.475</td></tr></tbody></table>
Data from: Bioclimatic variables derived from remote sensing: assessment and application for species distribution modeling
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Data on Mutillidae distribution and bioclimatic variables
<p>Data for paper <strong>Ecogeographic patterns of coloration in velvet ants (Hymenoptera: Mutillidae) </strong><strong>Ecogeographic patterns of coloration in velvet ants (Hymenoptera: Mutillidae) </strong></p>
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Allen Brain Atlas
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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.