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96 results for “dispersion modelling”
Data from: Modelling the dispersal of the two main hosts of the raccoon rabies variant in heterogeneous environments with landscape genetics
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Data from: Reduced incompatibility in the production of second generation hybrids between two Magnolia species revealed by Bayesian gene dispersal modeling
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Data from: Separating mortality and emigration: modelling space use, dispersal and survival with robust-design spatial-capture-recapture data
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Stan code from: Simulation modeling reveals the evolutionary role of landscape shape and species dispersal on genetic variation within a metapopulation
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Data from: The evolution of marine larval dispersal kernels in spatially structured habitats: analytical models, individual-based simulations, and comparisons with empirical estimates
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Modelling long-distance seed dispersal of Spathodea campanulata in the Society Islands
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Data from: Spatiotemporally explicit demographic modelling supports a joint effect of historical barriers to dispersal and contemporary landscape composition on structuring genomic variation in a red-listed grasshopper
Inferring the processes underlying spatial patterns of genomic variation is fundamental to understand how organisms interact with landscape heterogeneity and to identify the factors determining species distributional shifts. Here, we employ genomic data (ddRADSeq) to test biologically-informed models representing historical and contemporary demographic scenarios of population connectivity for the Iberian cross-backed grasshopper Dociostaurus hispanicus, a species with a narrow distribution that currently forms highly fragmented populations. All models incorporated biological aspects of the focal taxon that could hypothetically impact its geographical patterns of genomic variation, including (a) spatial configuration of impassable barriers to dispersal defined by topographic landscapes not occupied by the species, (b) distributional shifts resulted from the interaction between the species bioclimatic envelope and Pleistocene glacial cycles, and (c) contemporary distribution of suitable habitats after extensive land clearing for agriculture. Spatiotemporally-explicit simulations under different scenarios considering these aspects and statistical evaluation of competing models within an Approximate Bayesian Computation (ABC) framework supported spatial configuration of topographic barriers to dispersal and human-driven habitat fragmentation as the main factors explaining the geographical distribution of genomic variation in the species, with no apparent impact of hypothetical distributional shifts linked to Pleistocene climatic oscillations. Collectively, this study supports that both historical (i.e., topographic barriers) and contemporary (i.e., anthropogenic habitat fragmentation) aspects of landscape composition have shaped major axes of genomic variation in the studied species and emphasizes the potential of model-based approaches to gain insights into the temporal scale at which different processes impact the demography of natural populations.
Data from: Modelling competition and dispersal in a statistical phylogeographic framework
Competition between organisms influences the processes governing the colonization of new habitats. As a consequence, species or populations arriving first at a suitable location may prevent secondary colonization. While adaptation to environmental variables (e.g., temperature, altitude, etc.) is essential, the presence or absence of certain species at a particular location often depends on whether or not competing species co-occur. For example, competition is thought to play an important role in structuring mammalian communities assembly. It can also explain spatial patterns of low genetic diversity following rapid colonization events or the "progression rule" displayed by phylogenies of species found on archipelagos. Despite the potential of competition to maintain populations in isolation, past quantitative analyses have largely ignored it because of the difficulty in designing adequate methods for assessing its impact. We present here a new model that integrates competition and dispersal into a Bayesian phylogeographic framework. Extensive simulations and analysis of real data show that our approach clearly outperforms the traditional Mantel test for detecting correlation between genetic and geographic distances. But most importantly, we demonstrate that competition can be detected with high sensitivity and specificity from the phylogenetic analysis of genetic variation in space.
Dispersion curves and Vs models in Bomi section of Jiali fault, SE Tibet
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Dispersal patterns and potential distribution prediction of three rice planthopper species in China based on the ensemble model
<p>Emergence of three rice planthopper species in China from 1993 to 2022.</p>
Part of the dataset and trained models in "A Physics-Enhanced Neural Network for Estimating Longitudinal Dispersion Coefficient and Average Solute Transport Velocity in Porous Media" by Meng et al. in Geophysical Research Letters
<p><strong>This repository is created to contain part of the data, codes and trained models in the research project titled "A Physics-Enhanced Neural Network for Estimating Longitudinal Dispersion Coefficient and Average Solute Transport Velocity in Porous Media".</strong></p> <p> </p>
Source code and data from informed dispersal model on range expansion
<p>In those files, you can find the source code to run the model and the R codes to process the data and create the figures</p>
Surrogate modelling for the forecast of Seveso-type atmospheric pollutant dispersion - Online Resource 1
<p>Online Resource 1: Test-data response of GIM model.</p>
Supplementary material 2 from: Aspöck H, Aspöck U, Gruppe A, Sittenthaler M, Haring E (2017) Anthropogenic dispersal of a snakefly (Insecta, Neuropterida) – a singular phenomenon or a model case in Raphidioptera? Deutsche Entomologische Zeitschrift 64(2): 123-131. https://doi.org/10.3897/dez.64.19859
Records of Raphidia mediterranea : Data type: Microsoft Excel Worksheet (.xlsx)
Supplementary material 1 from: Aspöck H, Aspöck U, Gruppe A, Sittenthaler M, Haring E (2017) Anthropogenic dispersal of a snakefly (Insecta, Neuropterida) – a singular phenomenon or a model case in Raphidioptera? Deutsche Entomologische Zeitschrift 64(2): 123-131. https://doi.org/10.3897/dez.64.19859
BI and NJ trees : Data type: molecular data
Figure 6 from: Aspöck H, Aspöck U, Gruppe A, Sittenthaler M, Haring E (2017) Anthropogenic dispersal of a snakefly (Insecta, Neuropterida) – a singular phenomenon or a model case in Raphidioptera? Deutsche Entomologische Zeitschrift 64(2): 123-131. https://doi.org/10.3897/dez.64.19859
Figure 6 - Phylogenetic tree based on BI analysis of six species of Raphidia (with Agulla adnixa as outgroup). Posterior probability values are indicated at the nodes.
Figure 5 from: Aspöck H, Aspöck U, Gruppe A, Sittenthaler M, Haring E (2017) Anthropogenic dispersal of a snakefly (Insecta, Neuropterida) – a singular phenomenon or a model case in Raphidioptera? Deutsche Entomologische Zeitschrift 64(2): 123-131. https://doi.org/10.3897/dez.64.19859
Figure 5 - Known distribution of Raphidia mediterranea H.A. & U.A. & Rausch. Source of the map see under Material and methods.
Figure 3 from: Aspöck H, Aspöck U, Gruppe A, Sittenthaler M, Haring E (2017) Anthropogenic dispersal of a snakefly (Insecta, Neuropterida) – a singular phenomenon or a model case in Raphidioptera? Deutsche Entomologische Zeitschrift 64(2): 123-131. https://doi.org/10.3897/dez.64.19859
Figure 3 - Raphidia mediterranea, full-grown larva, from Pelmberg (Upper Austria). Photo H. Bruckner.
Parasitism and host dispersal plasticity in an aquatic model system
<p>Dispersal is a central determinant of spatial dynamics in communities and ecosystems, and various ecological factors can shape the evolution of constitutive and plastic dispersal behaviours. One important driver of dispersal plasticity is the biotic environment. Parasites, for example, influence the internal condition of infected hosts and define external patch quality. Thus state-dependent dispersal may be determined by infection status and context-dependent dispersal by the abundance of infected hosts in the population. A prerequisite for such dispersal plasticity to evolve is a genetic basis on which natural selection can act. Using interconnected microcosms, we investigated dispersal in experimental populations of the freshwater protist <i>Paramecium caudatum</i> in response to the bacterial parasite <i>Holospora undulata</i>. For a collection of 20 natural host strains, we found substantial variation in constitutive dispersal, and to a lesser degree in dispersal plasticity. First, infection tended to increase or decrease dispersal relative to uninfected controls, depending on strain identity, potentially indicative of state-dependent dispersal plasticity. Infection additionally decreased host swimming speed compared to the uninfected counterparts. Second, for certain strains, there was a weak negative association between dispersal and infection prevalence, such that uninfected hosts tended to disperse less when infection was more frequent in the population, indicating context-dependent dispersal plasticity. Future experiments may test whether the observed differences in dispersal plasticity are sufficiently strong to react to natural selection. The evolution of dispersal plasticity as a strategy to mitigate parasite effects spatially may have important implications for epidemiological dynamics.</p>
Southeastern Tibetan Plateau Dispersion data & velocity model
<p>We obtained a 3-D isotropic and azimuthal anisotropic model in the southeastern Tibetan Plateau. These datasets contain the dispersion data we picked, and the models we obtained.</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.