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8 results for “Theoretical Ecology”
Fig. 3 a-h in Ecological characterization of habitats colonized by the freshwater gastropod Viviparus contectus (MILLET, 1813) (Gastropoda, Prosobranchia) - Theoretical and experimental data
Fig. 3 a-h: Logistic regression models of the single environmental variables for the presentation of eventual habitat preferences of V. contectus. For a validation of the models experimental data from diverse field studies were used (e.g., PATZNER & ISARCH 1999, STURM 2000a).
Fig. 1 in Ecological characterization of habitats colonized by the freshwater gastropod Viviparus contectus (MILLET, 1813) (Gastropoda, Prosobranchia) - Theoretical and experimental data
Fig. 1: Stereoscopic photographs showing the front and back of the shell of V. contectus with its typical shape and mouth geometry. The height of the shells measures about 4.5 cm.
Fig. 2 a-h in Ecological characterization of habitats colonized by the freshwater gastropod Viviparus contectus (MILLET, 1813) (Gastropoda, Prosobranchia) - Theoretical and experimental data
Fig. 2 a-h: Box-plots for the statistical evaluation of single environmental variables under incorporation of all malacological data available in the scientific literature and those data with occurrence of V. contectus, respectively. The black boxes range from the first to the third quartile, whereas the ends of the lines mark the minimum and the maximum of the data. The white line indicates the position of the median.
An effective mutualism? The role of theoretical studies in ecology and evolution
<p>Theoretical models often have fundamentally different goals than do empirical studies of the same topic. Models can test the logic of existing hypotheses, explore the plausibility of new hypotheses, provide expectations that can be tested with data, and address aspects of topics that are currently inaccessible empirically. Theoretical models are common in ecology and evolution, and are generally well-cited, but I show that many citations appearing in non-theoretical studies are general to topic and a substantial proportion are incorrect. One potential cause of this pattern is that some functions of models are rather abstract, leading to miscommunication between theoreticians and empiricists. Such misunderstandings are often triggered by simplifying, logistical assumptions that modelers make. The 2018 Vice Presidential Symposium of the American Society of Naturalists included a variety of mathematical models in ecology and evolution from across several topics. Common threads that appear in the use of the models are identified, highlighting the power of a theoretical approach and the role of the assumptions that such models make.</p>
An effective mutualism? The role of theoretical studies in ecology and evolution
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Data from: Discovering biogeographic and ecological clusters with a graph theoretic spin on factor analysis
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Data from: Theoretical and empirical perspectives in ecology and evolution: a survey
Scientific research is often conceptually divided into empirical and theoretical approaches, and researchers often specialize as empiricists or theorists. Both approaches are essential to scientific progress, but interactions between the two groups have at times seemed problematic. I present results from a recent survey of 614 scientists (predominantly ecologists and evolutionary biologists) regarding interactions between theoretical and empirical work. Some overall themes emerged from these results. One theme is a widespread and mutual lack of trust, understanding, and interaction between empiricists and theorists. Another is a general desire, among almost all of the respondents, for greater understanding, more collaboration, and closer interactions between empirical and theoretical work. The final theme is that institutions, such as journals, funding agencies, and universities, are often seen as hindering such interactions. These results provide a clear mandate for institutional changes to improve interactions between theorists and empiricists in ecology and evolutionary biology.
Data from: Theoretical and empirical perspectives in ecology and evolution: a survey
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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.