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Data from: Using data from related species to overcome spatial sampling bias and associated limitations in ecological niche modeling
负责人:
关键词:
accessibility-limited species;niche overlap;rare species;biotic interaction;fundamental niche;realized niche
DOI:
doi:10.5061/dryad.37882
摘要:
1. Ecological niche modeling (ENM) is used widely to aid in conservation planning and management, often focusing on rare species character
Data from: A clinical decision support system learned from data to personalize treatment recommendations towards preventing breast cancer metastasis
负责人:
关键词:
treatment;clinical;metastasis;Decision Support;Bayesian network;Breast Cancer;electronic health records;Holocene;EHR;H. sapiens
DOI:
doi:10.5061/dryad.64964m0
摘要:
, .872); breast/chest wall radiation (.939, .902); nodal field radiation (.940, .784); antihormone (.941, .906); HER2 inhibitors (.934, .880); neadjuvant therapy
Range distribution of the mountain nyala (Tragelaphus buxtoni) in Ethiopia
负责人:
Colorado State University. Libraries;;Colorado State University. Libraries
关键词:
wildlife species distribution model
DOI:
doi:10.25675/10217/179301
摘要:
suitable habitat using 76 climatic, topographical and vegetative variables. Three model evaluation methods showed a strong performance of the final model with an overa
Data from: Modeling effects of nonbreeders on population growth estimates
负责人:
Lee, Aline M.
关键词:
demographic stochasticity floaters intermittent breeding matrix model nonbreeding population dynamics reproductive skipping sensitivity analysis
DOI:
doi:10.5061/dryad.t56cn
摘要:
the size and demography of the nonbreeding section of populations and modelling appropriate demographic structuring is therefore essential to evaluate
Data from: Identifying areas prone to coastal hypoxia – the role of topography
负责人:
关键词:
hypoxia
DOI:
doi:10.5061/dryad.cn5kh5m
摘要:
ed oxygen deficiency in complex coastal areas in the northern Baltic Sea. According to our models, topographical parameters alone explained ?80?% of hypoxia occurrences
Data from: Inferring invasive species abundance using removal data from management actions
负责人:
关键词:
Bayesian hierarchical model;removal sampling;feral swine;catch-effort method;population monitoring;Sus scrofa;invasive species
DOI:
doi:10.5061/dryad.67nb3
摘要:
s of estimating population size are too labor intensive and costly to implement, posing restrictive levels of burden on operational programs. Removal models ar
Data from: Testing the consistency of connectivity patterns for a widely dispersing marine species
负责人:
关键词:
microsatellites;Jasus edwardsii;connectivity;Dispersal
DOI:
doi:10.5061/dryad.3639h
摘要:
hic and genetic connectivity measures from genetic data. Combining such genetic data with mathematical models represents a powerful approach for accurately determining patterns
Data from: Metapopulation dynamics of Roseate Terns: sources, sinks and implications for conservation management decisions
负责人:
Seward, Adam
关键词:
demography density dependence dispersal immigration integrated population model metapopulation dynamics roseate tern seabirds
DOI:
doi:10.5061/dryad.6tv82c4
摘要:
tion for its growth. Simulation models suggest the metapopulation would be ~10 % larger in the absence of dispersal to the sink colony. 6.This work indicates tha
Data from: Seascape genetics and biophysical connectivity modelling support conservation of the seagrass Zostera marina in the Skagerrak-Kattegat
负责人:
Jahnke, Marlene
关键词:
seascape genetics isolation by oceanography barrier analysis Lagrangian particles directional dispersal conservation
DOI:
doi:10.5061/dryad.2139f
摘要:
genetic or oceanographic analyses. A single-generation model of dispersal was not realistic, whereas multi-generation models that integrate stepping-stone disper
Data from: Examining temporal sample scale and model choice with spatial capture-recapture models in the common leopard Panthera pardus
负责人:
关键词:
spatial capture-recapture;model selection;Panthera pardus;population estimation;common leopard;bayesian analysis
DOI:
doi:10.5061/dryad.mr1pt
摘要:
mework, we investigate the effect of different sample interval lengths on density estimates, using simulations and a common leopard (Panthera pardus) model

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