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6 results for “climate variability hypothesis”
Data for: The climatic variability hypothesis and trade–offs in thermal performance in coastal and inland populations of Mimulus guttatus
<p>Ecologists and evolutionary biologists have long predicted that organisms in more climatically variable environments should be adapted to handle a wider range of conditions. This intuitive idea, known as the Climatic Variability Hypothesis, has gained mixed support from empirical studies. We tested the Climatic Variability Hypothesis in a novel system by comparing the thermal breadth of coastal and inland populations of <em>Mimulus guttatus</em>. To quantify thermal breadth, we performed a thermal performance experiment and built performance curves. Using these performance curves, we also evaluated evidence for a breadth–performance trade–off and the Hotter–is–Better hypothesis. We did not find support for the Climatic Variability Hypothesis; coastal and inland populations did not differ in thermal breadth. However, we found evidence for a breadth performance trade–off and the Hotter–is–Better hypothesis. Surprisingly, the two most inland populations differed the most in the thermal performance traits we evaluated. Our results highlight the importance of explicitly measuring thermal performance to test explanations of species distribution patterns and the need to examine alternative mechanisms by which organisms occupy different climatic regimes.</p>
Data from: The thermal breadth of temperate and tropical freshwater insects supports the climate variability hypothesis
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Support for the climatic variability hypothesis depends on the type of thermal plasticity: lessons from predation rates
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Data for: The climatic variability hypothesis and trade–offs in thermal performance in coastal and inland populations of Mimulus guttatus
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Data from: The Rapoport effect and the climatic variability hypothesis in Early Jurassic ammonites
The increase of species range size towards high latitudes, known as the Rapoport's rule, remains one of the most debated and poorly understood macroecological patterns. Numerous studies have challenged both its universality and the main mechanism originally proposed to explain it, i.e. the climatic variability hypothesis. Here we study this pattern on a group of fossil marine organisms: the early Pliensbachian ammonites of the western Tethys. We further take into account the influence of the marked provincialism prevailing at that time, with a Mediterranean province (MED) and a Northwest European province (NWE) located on each side of a latitudinally-oriented palaeobiogeographic barrier. We find that only species from the NWE province display a Rapoport effect, whereas species from the more tropical MED province show a boundary effect and have larger range sizes in average. This dual pattern can be explained by an alternative climatic variability hypothesis that better captures latitudinal seasonal variations and outlines the influence of the intertropical zone, characterized by stable and homogeneous climate that allows species to disperse over very large areas, regardless of their thermal tolerance. Accordingly, the NWE province probably displayed a gradient of seasonal climatic variations which caused the emergence of a Rapoport effect, whereas the MED province was probably located in the intertropical zone where no gradient in species range size is expected. Our multi-scale approach further shows that the Rapoport effect is scale dependent and may be labile through time. This probably explains the conflicting results of previous studies carried out at various spatio-temporal scales.
Data from: The Rapoport effect and the climatic variability hypothesis in Early Jurassic ammonites
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.