Preprints
Filtering by Subject: Multivariate Analysis
Model-based ordination for phenological studies: from controlling sampling bias to inferring temporal associations
Published: 2025-03-17
Subjects: Biostatistics, Ecology and Evolutionary Biology, Integrative Biology, Longitudinal Data Analysis and Time Series, Multivariate Analysis, Statistical Methodology
Willig et al. (Methods in Ecology and Evolution, 15, 868--885, 2024) cautioned that unequal sampling effort and pseudoreplication can bias the characterisation of species phenology using circular statistics. Borrowing concepts from rarefaction, they proposed bootstrapping to control for time-varying marginal totals that arise from unequal sampling effort over time. This study extends their [...]
Beyond single-species models: leveraging multispecies forecasts to navigate the dynamics of ecological predictability
Published: 2023-03-13
Subjects: Desert Ecology, Ecology and Evolutionary Biology, Life Sciences, Multivariate Analysis, Population Biology, Statistical Methodology, Statistical Models, Statistics and Probability
Forecasting the responses of natural populations to environmental change is a key priority in the management of ecological systems. This is challenging because the dynamics of multispecies ecological communities are influenced by many factors. Populations can exhibit complex, nonlinear responses to environmental change, often over multiple temporal lags. In addition, biotic interactions, and [...]
Estimating complex ecological variables at high resolution in heterogeneous terrain using multivariate matching algorithms
Published: 2021-04-16
Subjects: Ecology and Evolutionary Biology, Life Sciences, Multivariate Analysis, Physical Sciences and Mathematics, Research Methods in Life Sciences, Statistics and Probability
1. Simulation models are valuable tools for estimating ecosystem structure and function under various climatic and environmental conditions and disturbance regimes, and are particularly relevant for investigating the potential impacts of climate change on ecosystems. However, because computational requirements can restrict the number of feasible simulations, they are often run at coarse scales or [...]