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131 results for “habitat prediction”
Fig. 3 in Is Phylogeographic Congruence Predicted by Historical Habitat Stability, or Ecological Co-associations?
Fig. 3. The number and distribution of spatial-genetic clusters, and phylogenetic relationships among mitochondrial DNA (mtDNA) haplotypes, for each of the five focal species. BAPS clusters were arbitrarily color-coded (alphabetic names are also shown), and spatial projections were based on membership of georeferenced individuals (Voronoї tessellations not shown). Grey shading identifies the "northern region" of the study area, referred to in the main text. Rooted phylogenetic trees (outgroup not shown) are simplified and color-coded corresponding to BAPS cluster membership of each mtDNA haplotype. Nodes with bootstrap support values>70% are marked by asterisks. Species names are abbreviated as in Fig. 1.
Data from: Carcass predictability but not domestic pet introduction affects functional response of scavenger assemblage in urbanised habitats
<ol> <li><span>Urbanisation alters species richness and composition, but studies of urbanisation effects on ecological functions have often quantified variation in functional traits and changes in functional diversity rather than measuring directly how ecological functions vary between rural and urban assemblages. </span></li> <li><span>Consuming dead animal matter and recycling its nutrients stabilizes and structures food webs and therefore represents a key component of ecosystem functioning. Introduction of free-ranging domestic pet animals adds additional scavenger species to urban habitats, and increased predictability of carcass resources produced by human activities characterizes urban habitats. </span></li> <li><span>Here, we investigate the effect of urbanisation on the composition of diurnal and nocturnal scavenger assemblages and on the ecological function of carcass removal by using a carcass placement experiment in Swiss urban and adjacent rural habitats. </span></li> <li><span>While diurnal and nocturnal scavenger assemblages changed considerably from rural to urban areas by comprising particularly more domestic cats in the latter, carrion consumption rate did not differ between the two habitats. Predictability of carcass occurrence increased carrion consumption rate in both, urban and rural habitats but mainly native scavengers and not introduced domestic pets responded to the repeated placements.</span></li> <li><span>These results suggest that urbanisation shapes scavenger assemblage compositions without affecting their ecological function. The mechanism is likely due to a behavioural change of native scavengers in response to the occurrence of domestic pets resulting in functional plasticity of urban scavenger assemblages. The functional plasticity might be facilitated by the increased carcass predictability and additional anthropogenic food resources in urban habitats exploited by nutritionally flexible native scavenger species.</span></li> </ol>
Data from: Temporally dynamic habitat suitability predicts genetic relatedness among caribou
Landscape heterogeneity plays a central role in shaping ecological and evolutionary processes. While species utilization of the landscape is usually viewed as constant within a year, the spatial distribution of individuals is likely to vary in time in relation to particular seasonal needs. Understanding temporal variation in landscape use and genetic connectivity has direct conservation implications. Here, we modelled the daily use of the landscape by caribou in Quebec and Labrador, Canada and tested its ability to explain the genetic relatedness among individuals. We assessed habitat selection using locations of collared individuals in migratory herds and static occurrences from sedentary groups. Connectivity models based on habitat use outperformed a baseline isolation-by-distance model in explaining genetic relatedness, suggesting that variations in landscape features such as snow, vegetation productivity and land use modulate connectivity among populations. Connectivity surfaces derived from habitat use were the best predictors of genetic relatedness. The relationship between connectivity surface and genetic relatedness varied in time and peaked during the rutting period. Landscape permeability in the period of mate searching is especially important to allow gene flow among populations. Our study highlights the importance of considering temporal variations in habitat selection for optimizing connectivity across heterogeneous landscape and counter habitat fragmentation.
Is phylogeographic congruence predicted by historical habitat stability, or ecological co-associations?
<p>Comparative phylogeographic studies can uniquely distinguish idiosyncratic versus community-wide responses to past environmental change. However, to date, impacts of species interactions have been largely overlooked. Here we used non-genetic data to characterize two competing scenarios about expected levels of congruence among five saproxylic invertebrate species (i.e., a wood-feeding cockroach, termite and beetle; a predatory centipede, and a detritivorous millipede) from the southern Appalachians mountains—a topographically complex unglaciated landscape. Under one scenario, abiotic factors primarily drove species' responses, with predicted congruence based on spatial overlap of climatically stable habitat areas estimated for each species via ecological niche modeling. The other scenario considered biotic factors to be most influential, with proxies for actual or potential direct interactions used to predict congruence. Analyses of mitochondrial and nuclear DNA sequence datasets for each species focused on four axes of comparison: the number and distribution of spatial-genetic clusters, phylogeographic structure, changes in long-term effective population size, and historical gene flow dynamics. Overall, we found stronger support for ecological co-associations scenario, suggesting an important influence of biotic factors in constraining or facilitating species' responses to Pleistocene climatic cycles. However, there was an imperfect fit between this scenario's predictions and outcomes of empirical data analyses. Thus, our conclusions are compelling, but tentative. This work advances comparative phylogeography by expanding the scope of inferences beyond abiotic drivers, and provides insights into the evolutionary history of a functionally important ecological community, within a globally recognized center of endemism.</p>
Both real-time and long-term environmental data perform well in predicting shorebird distributions in managed habitat
<p>Highly mobile species, such as migratory birds, respond to seasonal and inter-annual variability in resource availability by moving to better habitats. Despite the recognized importance of resource thresholds, species distribution models typically rely on long-term average habitat conditions, mostly because large-extent, temporally-resolved, environmental data are difficult to obtain. Recent advances in remote sensing make it possible to incorporate more frequent measurements of changing landscapes; however, there is often a cost in terms of model building and processing and the added value of such efforts is unknown. Our study tests whether incorporating real-time environmental data increases the predictive ability of distribution models, relative to using long-term average data. We developed and compared distribution models for shorebirds in California's Central Valley based on high temporal resolution (every 16-days), and 17-year long-term average, surface water data. Using abundance-weighted boosted regression trees, we modeled monthly shorebird occurrence as a function of surface water availability, crop type, wetland type, road density, temperature, and bird data source. While modeling with both real-time and long-term average data provided good fit to withheld validation data (0.79 < AUC < 0.89 across taxa), there were small differences in model performance. The best models incorporated long-term average conditions and spatial pattern information for real-time flooding (e.g. perimeter-area ratio of real-time water bodies). There was not a substantial difference in the performance of real-time and long-term average data models within time periods when real-time surface water differed substantially from the long-term average (specifically during drought years 2013-2016) and in intermittently flooded months or locations. Spatial predictions resulting from the models differed most in the southern region of the study area where there is lower water availability, fewer birds, and lower sampling density. Prediction uncertainty in the southern region of the study area highlights the need for increased sampling in this area. Because both sets of data performed similarly, the choice of which data to use may depend on the management context. Real-time data may ultimately be best for guiding dynamic, adaptive conservation actions whereas models based on long-term averages may be more helpful for guiding permanent wetland protection and restoration. --</p>
Figure 11. Predicted suitable habitat for the Eirenis persicus species group. A in Alpine-Himalayan orogeny drove correlated morphological, molecular, and ecological diversification in the Persian dwarf snake (Squamata: Serpentes: Eirenis persicus)
Figure 11. Predicted suitable habitat for the Eirenis persicus species group. A, western operational taxonomic unit (OTU) specimens; B, eastern and nigrofasciatus OTUs. The model was reclassified into ten equal probability classes. Only classes with probabilities greater than 60% are presented here. Maximum training sensitivity plus specificity logistic threshold (dark grey) is equal to 15.7% in (A) and 23% in (B). In (A), circles indicate the south-western Iran sub-OTU, ◆ indicate the south-eastern Turkey and western Iran sub-OTU, and plus symbols indicate the northern Iran specimens. In (B), circles indicate specimens of the nigrofasciatus OTU, triangles indicate the eastern Iran and Turkmenistan sub-OTU, plus symbols indicate the north-eastern Pakistan sub-OTU, and stars indicate the localities of the specimens referred to Eirenis mcmahoni.
Prediction of current and future suitable habitats for three invasive freshwater fish species (Lepomis gibbosus, Perccottus glenii and Pseudorasbora parva) in Europe
<p><span>Climate change can have a significant impact on the earth's ecosystems. Invasive species will respond to climate change, and their responses will have ecological and economic implications. Habitat suitability models (HSMs) are one of the most important tools currently available to assess the potential impacts of climate change on species. Projections of models of suitable conditions for species, built using Maxent based on the occurrence throughout the range (native and invasive), on the current climate of Europe and on the forecast climate data for the 2050s and 2070s under the SSP2 and SSP5 scenarios are present here.</span></p>
Intratumoral and Peritumoral Habitat Radiomics of MRI Predict Pathologic Complete Response to Neoadjuvant Chemoimmunotherapy in Oral Squamous Cell Carcinoma
ClinicalTrials.gov study NCT06854107. IPD Sharing: Not stated. Countries: 1. Publications: 35.
How the Precise Habitats Can Predict the IDH Mutation Status and Prognosis of the Patients With High-grade Gliomas
ClinicalTrials.gov study NCT04908267. IPD Sharing: NO. Countries: 1. Publications: 1.
Interaction of diet and habitat predicts Toxoplasma gondii infection rates in wild birds at a global scale
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Habitat heterogeneity captured by 30-m resolution satellite image texture predicts bird richness across the U.S.
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Fine-scale ecological and anthropogenic variables predict the habitat use and detectability of sloth bears in the Churia habitat of east Nepal
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Data from: Predictive habitat occupancy models for North American river otters along inland streams in New Jersey
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Data from: Habitat specialization predicts genetic response to fragmentation in tropical birds
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Data from: Habitat selection predicts genetic relatedness in an alpine ungulate
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Data from: Evolutionary shifts in habitat aridity predict evaporative water loss across squamate reptiles
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Predicting pasture and forest landowner intention to create early successional habitat
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Worldclim 2.1 versus Worldclim 1.4: climatic niche and grid resolution affect between-version mismatches in habitat suitability models predictions across Europe
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Prediction of current and future suitable habitats for three invasive freshwater fish species (Lepomis gibbosus, Perccottus glenii and Pseudorasbora parva) in Europe
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Data from: The influence of data resolution on predicted distribution and estimates of extent of current protection of three ‘listed’ deep-sea habitats
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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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.