TCD Lucas - Ecological Monographs, 2020 - Wiley Online Library
Abstract Machine learning has become popular in ecology but its use has remained restricted to predicting, rather than understanding, the natural world. Many researchers …
1. Litter decomposition is a biogeochemical process fundamental to element cycling within ecosystems, influencing plant productivity, species composition and carbon storage. 2 …
Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the …
ANÁLISE ESTATÍSTICA COM O SPSS STATISTICS resulta da experiência de docência, formação profissional e de investigação aplicada do autor nas Ciências Biológicas, Sociais …
Growing interest in proximate and ultimate causes and consequences of between‐and within‐individual variation in labile components of the phenotype–such as behaviour or …
H Schielzeth - Methods in Ecology and Evolution, 2010 - Wiley Online Library
Linear regression models are an important statistical tool in evolutionary and ecological studies. Unfortunately, these models often yield some uninterpretable estimates and …
Temperature is a primary driver of the distribution of biodiversity as well as of ecosystem boundaries,. Declining temperature with increasing elevation in montane systems has long …
Neuroanatomical differences attributable to aging and gender have been well documented, and these differences may be associated with differences in behaviors and cognitive …
H Schielzeth, S Nakagawa - Methods in Ecology and Evolution, 2013 - Wiley Online Library
Nested data structures are ubiquitous in the study of ecology and evolution, and such structures need to be modelled appropriately. Mixed‐effects models offer a powerful …