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Data from: Spatio-temporally explicit model averaging for forecasting of Alaskan groundfish catch
负责人:
Correia, Hannah
关键词:
forecast model averaging spatio-temporal multi-model inference
DOI:
doi:10.5061/dryad.s23g7bc
摘要:
forecasting models and a modern spatial prediction model: the autoregressive integrated moving averages (ARIMA) model, the Bayesian hierarchical model
Data from: Complementary strengths of spatially-explicit and multi-species distribution models
负责人:
关键词:
eastern hemlock;Joint species distribution model;Michigan;species co-occurrence;Tsuga canadensis;USA
DOI:
doi:10.5061/dryad.fj6q573qg
摘要:
forest stands across Michigan, USA to evaluate how the choice of model structure, including spatial and non-spatial forms of univariate and multivariate models
Data from: Spatially explicit summary statistics for historical population genetic inference
负责人:
关键词:
population genetics;phylogeography
DOI:
doi:10.5061/dryad.48hq1
摘要:
realistic scenarios. Ignoring space can lead to misleading inferences, yet incorporating spatial realism leads to using complex evolutionary models tha
Data from: Evolutionary branching in complex landscapes
负责人:
关键词:
competition;Speciation: ecological;Modeling: spatial;Theory;Dispersal;Modeling: individual based;Methods: computer simulations;Adaptation;Selection: natural
DOI:
doi:10.5061/dryad.43cj7
摘要:
Divergent adaptation to different environments can promote speciation, and it is thus important to consider spatial structure in models of speciati
Data from: Surrogate modelling for the prediction of spatial fields based on simultaneous dimensionality reduction of high-dimensional input/output
负责人:
关键词:
simultaneous dimensionality reduction;Gaussian process regression;spatial field emulation;stochastic PDE
DOI:
doi:10.5061/dryad.3g280
摘要:
c partial differential equation models while retaining the qualitative features of the original models. This allows us to build a surrogate model for the prediction of spatial
Data from: Contrasting effects of spatial heterogeneity and environmental stochasticity on population dynamics of a perennial wildflower
负责人:
关键词:
generalized linear model;plant population and community dynamics;sourcs-sink dynamics;environmental stochasticity;integral projection model;Dispersal;spatial heterogeneity
DOI:
doi:10.5061/dryad.30hd0
摘要:
vital rate functions using this variation into integral projection models for stochastic and spatially heterogeneous environments. I also explored
Data from: Using the Spatial Population Abundance Dynamics Engine for conservation management
负责人:
关键词:
invasives;conservation;prioritisation;Population Ecology;modelling;Holocene;Felis catus
DOI:
doi:10.5061/dryad.q202d
摘要:
a user-friendly and flexible modelling framework for simulating these population issues at large spatial scales – the Spatial Population Abundance Dynamics
Data from: Assessment of spatial discordance of primary and effective seed dispersal of European beech (Fagus sylvatica L.) by ecological and geneti
负责人:
López de Heredia, Unai
关键词:
Bayesian inference inverse modelling Janzen-Connell effect microsatellites parentage analysis secondary dispersal
DOI:
doi:10.5061/dryad.17829
摘要:
in recruitment patterns. Five different models were used to test the spatial concordance of the primary and effective dispersal patterns in a European beech
Data from: How does spatial resolution affect model performance? A case for ensemble approaches for marine benthic mesophotic communities
负责人:
关键词:
spatial grain;Coral;Grid Size;Macroalgae;Species distribution modelling;sponges;spatial scale
DOI:
doi:10.5061/dryad.nh07v50
摘要:
ng the area under the curve of a receiver operator characteristic plot (AUC) and the true skill statistic (TSS) using a spatially independent dataset. Results: Grid size ha

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