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Data from: The spatial ecology of sex ratios in a dioecious plant: relations between ramet and genet sex ratios
负责人:
关键词:
evolutionary ecology;Thalictrum pubescens;Spatial ecology;dioecy;reproductive ecology;clonal reproduction;sex ratios;sexual dimorphism
DOI:
doi:10.5061/dryad.60q6876
摘要:
l likelihood-based approach and spatial clustering model to estimate the genet sex ratios from flowering ramet data collected from 32 populations of dioecious
Data from: Spatial variation buffers temporal fluctuations in early juvenile survival for an endangered Pacific salmon
负责人:
关键词:
Chinook salmon juvenile survival Portfolio effect random effects hierarchical model population synchrony average pairwise correlation
DOI:
doi:10.5061/dryad.36p54
摘要:
on of spatial diversity will improve population persistence for this metapopulation. However, the exact magnitude of spatial buffering depends upon demographic pa
Data from: A new non-parametric method for analyzing replicated point patterns in ecology
负责人:
关键词:
Replicated patterns;second-order spatial structure;Spatial modeling
DOI:
doi:10.5061/dryad.72193
摘要:
processes. Thus, we introduce a new method for analyzing spatial point patterns that are replicated according to a two–factorial design. By summarizing
Data from: Quantifying and modelling decay in forecast proficiency indicates the limits of transferability in land-cover classification
负责人:
关键词:
R;classification;2006-2010
DOI:
doi:10.5061/dryad.s156b
摘要:
is in most cases spatially and temporally clustered. Therefore, map production requires extrapolation of models from one place to another and the uncertainty
Data resubmission from Macroecological factors shape local-scale spatial patterns in agriculturalist settlements
负责人:
关键词:
Environmental Science Ecology
DOI:
doi:10.6084/m9.figshare.5556727.v1
摘要:
by macroecological factors remains poorly understood. Here, we provide a first demonstration that macroecological factors shape strong local-scale spatial patterns
Data from: Bayesian hierarchical models for spatially misaligned data in R
负责人:
关键词:
DOI:
doi:10.5061/dryad.3g9s2
摘要:
and illustrates a Bayesian regression framework for modelling spatially misaligned multivariate data. Particular attention is paid to developing val
Data from: Spatial scale affects landscape genetic analysis of a wetland grasshopper
负责人:
关键词:
gene flow;Genetic clustering;isolation by distance;Stethophyma grossum;Dispersal;Orthoptera;population network
DOI:
doi:10.5061/dryad.17cm4
摘要:
idering spatial scale and population network topology resulted in high model fits by restricting landscape genetic analysis to smaller scales (0–3 km) and neighbouring
Data from: Scale?dependent spatial patterns in benthic communities around a tropical island seascape
负责人:
关键词:
spatial scaling;upwelling;internal wave;Coral reef;seascape ecology;nutrients
DOI:
doi:10.5061/dryad.40bv330
摘要:
, spatial statistics, and predictive modeling to test whether predictable patterns emerge between coral reef benthic competitors across scales in response to intra

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