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Data from: Spatial autocorrelation in fitness affects the estimation of natural selection in the wild
- 负责人：
- DOI：
- doi:10.5061/dryad.pm86c
- 摘要：
- r, spatial autocorrelation in fitness violates the assumption of residuals independence. Although widespread in the wild, the consequences of this effect hav
Data from: Contrasting effects of spatial heterogeneity and environmental stochasticity on population dynamics of a perennial wildflower
- 负责人：
- DOI：
- doi:10.5061/dryad.30hd0
- 摘要：
- s spatial heterogeneity increased population growth rates. Spatial autocorrelation and negative temporal autocorrelation led to higher population growth rates, although
Data from: Host plant associations and geography interact to shape diversification in a specialist insect herbivore
- 负责人：
- DOI：
- doi:10.5061/dryad.6dv4rj2
- 摘要：
- ted genomic differentiation while controlling for spatial autocorrelation among the 58 sample sites. Population genomic structure based on 40,699 SNPs
Data from: A spatially explicit hierarchical model to characterize population viability
- 负责人：
- Campbell, Steven
- 关键词：
- capture-recapture CAR model demography multi-state model population viability analysis recruitment Sonoran desert tortoise spatial autoregressive model survival spatial variation
- DOI：
- doi:10.5061/dryad.v0q5035
- 摘要：
- explicitly for spatial variation are rare. We develop a PVA model that incorporates autocorrelation into the analysis of local demographic informati
Data from: Spatial distribution of oak mistletoe as it relates to habits of oak woodland frugivores
- 负责人：
- DOI：
- doi:10.5061/dryad.6475n
- 摘要：
- e mobile bird species. The abundance of mistletoe was mapped on trees within a 700 ha study site in Carmel Valley, California. Spatial autocorrelation
Data from: Flow-ecology relationships are spatially structured and differ among flow regimes
- 负责人：
- 关键词：
- environmental flows;Traits;hydrology;life history strategies;streams;Fish;spatial autocorrelation
- DOI：
- doi:10.5061/dryad.2f7h7t6
- 摘要：
- h as autocorrelation due to spatial design, flow regime classification, and other environmental or ecological sources of spatial bias. 3. We used mixed moving-average
Data from: Local adaptation in dispersal in multi-resource landscapes
- 负责人：
- DOI：
- doi:10.5061/dryad.81rc405
- 摘要：
- . We find that resources differing in their spatial autocorrelation select for different optimal dispersal strategies and, further, that some multi-resource
Data from: Color-biased dispersal inferred by fine-scale genetic spatial autocorrelation in a color polymorphic salamander
- 负责人：
- DOI：
- doi:10.5061/dryad.732d5
- 摘要：
- microhabitats, but little is known about potential differences in dispersal behaviors. We used fine-scale genetic spatial autocorrelation to examine 122
Data from: Genetic relatedness does not retain spatial pattern across multiple spatial scales: dispersal and colonization in the coral
- 负责人：
- DOI：
- doi:10.5061/dryad.6d8g5
- 摘要：
- % of the reef was composed of just seven genotypes). Spatial autocorrelation analyses revealed that corals found close together on the reef were more genetical
Data from: Spatial structure of above-ground biomass limits accuracy of carbon mapping in rainforest but large scale forest inventories can help
- 负责人：
- DOI：
- doi:10.5061/dryad.38578
- 摘要：
- mapping methods are based on two hypotheses: a large and long-ranged spatial autocorrelation and a strong environment influence at the regional scale. Howeve
