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3 results for “species range simulation”
Ecophysiological variables of common shrub and grass species during the growing season following simulated sandblasting trials at the Jornada Experimental Range, New Mexico, USA, 2018 and 2019
In this dataset, we report ecophysiological variables of contrasting perennial grass (Bouteloua eriopoda, Sporobolus airoides, and Aristida purpurea) and shrub (Prosopis glandulosa, Atriplex canescens, and Larrea tridentata) functional groups before and after a series of simulated sandblasting events with various intensities and frequencies. We hypothesized that grass species are more susceptible to the resulting "sandblasting" (i.e., abrasive damage by wind-blown particulates) than shrubs, thus contributing to the shift from grass to shrub dominance. To test this, we conducted a wind tunnel experiment at the USDA Jornada Experimental Range in 2018 and 2019 growing seasons. Potted plants were subjected to different levels of sandblasting in a novel portable wind tunnel, and plants’ ecophysiological responses including leaf gas exchange and nighttime leaf stomatal conductance were quantified. All tested plants were then grown in benign greenhouse conditions to investigate plant recovery post sandblasting. This dataset contains data about plant biomass and height, leaf chlorophyll content, leaf gas exchange, stomatal conductance, and water use efficiency (WUE) under the experimental treatments above. This study is complete.
Alpine range by species input to simulations that reveal climate and legacy effects
<p>Whether the distribution and assembly of plant species are adapted to current climates or legacy effects poses a problem for their conservation during ongoing climate change. The alpine regions of southern and central Europe (SACEU) are compared to those of the western US and Canada (WUSAC) because they differ in their geographies and histories. Individual-based simulation experiments disentangled the role of geography in species adaptations and legacy effects in four combinations: approximations of observed alpine geographies vs. regular lattices with the same number of regions (realistic and null representations), and virtual species with responses to either climatic or simple spatial gradients (adaptations or legacy effects). Additionally, dispersal distances were varied using five Gaussian kernels. Because the similarity of pairs of regional species pools indicated the processes of assembly at extensive spatiotemporal scales and is a measure of beta diversity, this output of the simulations was correlated to observed similarity for Europe and North America. In North America, correlations were highest for simulations with approximated geography and location-adapted species; those in Europe had their highest correlation with the lattice pattern and climate-adapted species. Only SACEU correlations were sensitive to dispersal limitation. The southern and central European alpine areas are more isolated and with more distinct climates to which species are adapted. In the western US and Canada, less isolation and more mixing of species from refugia have caused location to mask climate adaptation. Among continents, the balance of explanatory factors for the assembly of regional species pools will vary with their unique historical biogeographies, with isolation lessening disequilibria.</p>
Alpine range by species input to simulations that reveal climate and legacy effects
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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.