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error rates
Spatial autocorrelation reduces model precision and predictive power in deforestation analyses
Generalized linear models are often used to identify covariates of landscape processes and to model land‐use change. Generalized linear …
Kristjan Mets
,
Dolors Armenteras
,
Liliana M. Dávalos
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Sex-biased dispersal produces high error rates in mitochondrial distance-based and tree-based species delimitation
Species delimitation using mitochondrial sequences aims to identify species as morphological expertise and biodiversity both decline. …
Liliana M. Dávalos
,
Amy L. Russell
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