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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: 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: A spatial kernel density method to estimate diet composition of fish
负责人:
Binion-Rock, Samantha M.
关键词:
Spatial correlation kernel density food habits fish
DOI:
doi:10.5061/dryad.q4f4ns6
摘要:
s. Our simulation and empirical data provide strong evidence food habits data should be modeled using spatial approaches and not treated as spatially-independent.
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: How large spatially-explicit optimal reserve design models can we solve now? an exploration of current models’ computational efficiency
负责人:
关键词:
nature reserve design;spatial optimization;mixed integer programming;compactness;Computational efficiency;contiguity
DOI:
doi:10.5061/dryad.24080nk
摘要:
Spatially-explicit optimal reserve design models select best sites from a set of candidate sites to assemble nature reserves to protect sp
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: Regional-scale spatial heterogeneity in the Late Paleocene paratropical forests of the U.S. Gulf Coast
负责人:
关键词:
spores;Composition;pollen;Paleocene;spatial heterogeneity;Macroecology;Holocene
DOI:
doi:10.5061/dryad.0d7t0
摘要:
modern biome. Our results demonstrate the importance of spatial scale, taphonomy and lithology in determining patterns of spatial heterogeneity, and sh
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:
use. Our approach has shown how the incorporation of spatial memory into animal movement models can improve estimates of habitat selection. Memory-based SSF provided

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