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Data from: Natural selection on gall size: variable contributions of individual host plants to population-wide patterns
负责人:
关键词:
Selection - Natural;Belonocnema treatae;Plant-Insect Interaction;Adaptation;Population Biology;Fitness
DOI:
doi:10.5061/dryad.1js1n
摘要:
and population level (across host plants) in each of two years. Linear and nonlinear selection and the fitness function relating gall size to the probability
Data from: Functional responses in animal movement explain spatial heterogeneity in animal-habitat relationships
负责人:
Mason, Tom
关键词:
antipredator behaviour boreal forest foraging ungulates predator-prey spatial games resource selection SSF taiga
DOI:
doi:10.5061/dryad.5p6kr
摘要:
of the availability of surrounding refuge land-cover (closed-conifer stands), using step selection functions. 4. Caribou selected resource patches more strongly in area
Data from: Mechanistic model of evolutionary rate variation en route to a nonphotosynthetic lifestyle in plants
负责人:
关键词:
evolutionary rates;relaxed selection;Parasitism;Orobanchaceae;plastid genomes
DOI:
doi:10.5061/dryad.t2m75
摘要:
n the loss of photosynthesis. Evolutionary rates and selection pressure coevolve with macrostructural and microstructural changes, the extent of functional
Data from: A unifying framework for quantifying the nature of animal interactions
负责人:
关键词:
animal movement collective behaviour insectivore birds
DOI:
doi:10.5061/dryad.47jh1
摘要:
ious mechanistic models of territorial interactions in the literature with step selection functions, by incorporate interactions into the step selection framework
Data from: Incorporating animal spatial memory in step selection functions
负责人:
关键词:
animal movement Biased Brownian Bridge kernel estimation cognitive maps GPS-tracking habitat selection spatial memory
DOI:
doi:10.5061/dryad.s5812
摘要:
behaviour; however, because memory cannot be measured directly, it is difficult to account for. Here, we incorporated spatial memory into Step Selection
Data from: Characterizing wildlife behavioural responses to roads using integrated step selection analysis
负责人:
关键词:
habitat selection;step selection function;Alberta;energy development;Cervus elaphus;human disturbance;resource selection strength;winter range;movement
DOI:
doi:10.5061/dryad.t8v81
摘要:
comparison between two common measures of roads. We used integrated step selection analysis (iSSA) to evaluate four alternative hypotheses regardin
Data from: Genome-wide analyses suggest parallel selection for universal traits may eclipse local environmental selection in a highly mobile
负责人:
关键词:
single nucleotide polymorphism;wolf;Genome-wide association study;Environmental selection;Canis lupus;CanineHD BeadChip microarray
DOI:
doi:10.5061/dryad.p6598
摘要:
s) regions in the dog (C. lupus familiaris) genome for genes potentially under selection, including homologue genes in other vertebrates. These regions
Data from: Equivalence between step selection functions and biased correlated random walks for statistical inference on animal movement
负责人:
关键词:
Animal movement biased walk models step selection functions Lagrangian methods maximum likelihood estimation
DOI:
doi:10.5061/dryad.217t3
摘要:
Animal movement has a fundamental impact on population and community structure and dynamics. Biased correlated random walks (BCRW) and step selection
Data from: Functional connectivity experiments reflect routine movement behavior of a tropical hummingbird species
负责人:
关键词:
translocation routine movement hummingbird step selection functions fragmentation functional connectivity
DOI:
doi:10.5061/dryad.27900
摘要:
of preference for mature tropical forest. At the path level, step selection functions showed both translocated and non-translocated hummingbirds avoiding movement
Data from: Landscape connectivity for wildlife: development and validation of multi-species linkage maps
负责人:
关键词:
current;circuitscape current map;raster map;Pekania Martes pennanti;reptiles and amphibians
DOI:
doi:10.5061/dryad.vr184
摘要:
and destination sites (nodes) for modeling connectivity, and does not require the selection of a focal species. In the first step of our approach, we created a cost

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