Preprints
Filtering by Subject: Statistical Models
The impact of rising temperatures on the prevalence of coral diseases and its predictability: a global meta-analysis
Published: 2023-01-24
Subjects: Ecology and Evolutionary Biology, Immunology and Infectious Disease, Life Sciences, Marine Biology, Other Ecology and Evolutionary Biology, Statistical Models
Coral reefs are under threat from disease as climate change alters environmental conditions. Rising temperatures exacerbate coral disease, but this relationship is likely complex as other factors also influence coral disease prevalence. To better understand this relationship, we meta-analytically examined 108 studies for changes in global coral disease over time alongside temperature, expressed [...]
Decline effects are rare in ecology: Comment
Published: 2022-06-06
Subjects: Ecology and Evolutionary Biology, Life Sciences, Physical Sciences and Mathematics, Statistical Methodology, Statistical Models, Statistics and Probability
Recently, Costello and Fox (2022) tested, with a large dataset, the hypothesis of whether there is a widespread decline effect in the discipline of ecology. In other words, the magnitude of the reported ecological effect sizes declines over time (Leimu and Koricheva 2004). Contrary to early results from much smaller datasets (Jennions and Møller 2002, Barto and Rillig 2012), Costello and Fox [...]
Multi-population analysis reveals spatial consistency in drivers of population dynamics of a declining migratory bird
Published: 2022-04-21
Subjects: Biodiversity, Biology, Biostatistics, Ecology and Evolutionary Biology, Life Sciences, Longitudinal Data Analysis and Time Series, Physical Sciences and Mathematics, Population Biology, Research Methods in Life Sciences, Statistical Methodology, Statistical Models, Statistics and Probability, Survival Analysis, Terrestrial and Aquatic Ecology
Many migratory species are in decline across their geographical ranges. Single-population studies can provide important insights into drivers at a local scale, but effective conservation requires multi-population perspectives. This is challenging because relevant data are often hard to consolidate, and state-of-the-art analytical tools are typically tailored to specific datasets. We capitalized [...]
Phylogenetic multilevel meta-analysis: A simulation study on the importance of modeling the phylogeny
Published: 2020-11-23
Subjects: Ecology and Evolutionary Biology, Life Sciences, Physical Sciences and Mathematics, Statistical Models, Statistics and Probability
1. Meta-analyses in ecology and evolution require special attention due to certain study characteristics in these fields. First, the primary articles in these fields usually report results that are observed from studies conducted with different species, and the phylogeny among the species violates the independence assumption. Second, articles frequently allow the computation of multiple effect [...]