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Data from: On population abundance and niche structure
负责人:
关键词:
population density;fundamental niche;Cryptotis nigrescens;Holocene
DOI:
doi:10.5061/dryad.33k4gp8
摘要:
of the niche modeling algorithm MaxEnt is not a good predictor of environmental suitability. Our results elucidate the empirical results for spatial patterns
Data from: Density-dependent habitat selection of spawning Chinook salmon: broad scale evidence and implications
负责人:
关键词:
DOI:
doi:10.5061/dryad.6g35k
摘要:
s. Empirical assessment of these habitat selection models is uncommon because data must be collected over large temporal and spatial scales. 2. I ask whether
Data from: Machine learning biogeographic processes from biotic patterns: a new trait-dependent dispersal and diversification model with model choice
负责人:
关键词:
Biogeography;Macroevolution;model choice;phylogenetics;Machine Learning;island radiation;taxon cycle
DOI:
doi:10.5061/dryad.4cj58
摘要:
d under training models is shown to be efficient, robust, and performs well over a broad range of parameter space defined by the relative rates of disp
Data from: Disentangling the drivers of invasion spread in a vector-borne tree disease
负责人:
Yamanaka, Takehiko
关键词:
pine wilt disease (PWD) Allee effect state-space modelling multistate occupancy model
DOI:
doi:10.5061/dryad.61c4h39
摘要:
nsive but recorded at coarse categorical levels (none, low and high) across 403 municipalities in northern Honshu. We employed a multistate occupancy model tha
Data from: Testing and interpreting the shared space-environment fraction in variation partitioning analyses of ecological data
负责人:
关键词:
Variation partitioning;Environmental filtering;plant community ecology
DOI:
doi:10.5061/dryad.4qk2k11
摘要:
tions of species abundance variation purely explained by environment and space. However, while these pure fractions can be tested using a classical residuals permutat
Data from: Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
负责人:
关键词:
extrapolation;Species distribution models;overfit;autocorrelation
DOI:
doi:10.5061/dryad.737gk
摘要:
le for model training, thus overestimating interpolation errors. On the other hand, deliberate blocking in predictor space may also improve error estimate
Data from: Increasing synergistic effects of habitat destruction and hunting on mammals over three decades in the Gran Chaco
负责人:
关键词:
conservation planning;defaunation;deforestation;habitat loss;Land-use change;overexploitation
DOI:
doi:10.5061/dryad.wm37pvmjg
摘要:
ny tropical deforestation frontiers. Our work highlights how threats can be traced in space and time to understand their individual and combined impact, even in situ
Data from: Adaptive estimation for epidemic renewal and phylogenetic skyline models
负责人:
关键词:
Phylodynamics;Epidemiology;Skyline plots;Renewal models;Coalescent processes;model selection;Information theory
DOI:
doi:10.5061/dryad.mpg4f4qv6
摘要:
and Bayesian information criteria on several classification problems, given minimal knowledge of the parameter space, and exposes statistical similarities amo
Data from: State-space modeling to support management of brucellosis in the Yellowstone bison population
负责人:
关键词:
adaptive management population modeling population ecology disease ecology disease transmission net reproductive ratio model selection
DOI:
doi:10.5061/dryad.181qq
摘要:
state-space model to reveal the influence of brucellosis on the dynamics of the Yellowstone bison population and to inform decisions on bison management. A model
Data from: Occupancy models for citizen-science data
负责人:
关键词:
breeding bird survey;occupancy model;bird atlas;citizen science
DOI:
doi:10.5061/dryad.rq9453m
摘要:
of effort in space, and collection of information about the observation process. On the analysis side, we review extensions of the basic occupancy models tha

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