Preprints
Filtering by Subject: Longitudinal Data Analysis and Time Series
Quantifying intermediary processes in ecology using causal mediation analyses
Published: 2024-05-13
Subjects: Applied Statistics, Longitudinal Data Analysis and Time Series, Other Ecology and Evolutionary Biology, Statistical Methodology
Ecologists seek to understand the intermediary ecological processes through which changes in one attribute in a system affect other attributes. Yet, quantifying the causal effects of these mediating processes in ecological systems is challenging. Researchers must define what they mean by a “mediated effect”, determine what assumptions are required to estimate mediation effects without bias, and [...]
Developing systems theory in soil agroecology: Incorporating heterogeneity and dynamic instability
Published: 2023-03-21
Subjects: Agriculture, Applied Mathematics, Biogeochemistry, Biology, Dynamic Systems, Earth Sciences, Ecology and Evolutionary Biology, Life Sciences, Longitudinal Data Analysis and Time Series, Research Methods in Life Sciences, Soil Science, Sustainability
Ecosystem management is integral to the future of soils, yet anthropogenic drivers represent a key source of uncertainty in ecosystem models. First- and new-generation soil models formulate many soil pools using first-order decomposition, which tends to generate simpler yet numerous parameters. Systems or complexity theory, developed across various scientific and social fields, may help improve [...]
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 [...]