Preprints
Filtering by Subject: Applied Statistics
Large-scale spatiotemporal variation in vital rates and population dynamics of an alpine bird
Published: 2024-02-01
Subjects: Applied Statistics, Ecology and Evolutionary Biology, Population Biology, Statistical Models
Quantifying temporal and spatial variation in animal population size and demography is a central theme in ecological research and important for directing management and policy. However, this requires field sampling at large spatial extents and over long periods of time, which is not only prohibitively costly but often politically untenable. Participatory monitoring programs (also called citizen [...]
A big data and machine learning approach for monitoring the condition of ecosystems
Published: 2024-01-16
Subjects: Applied Statistics, Biodiversity, Bioinformatics, Earth Sciences, Ecology and Evolutionary Biology, Environmental Sciences, Forest Biology, Forest Sciences, Life Sciences, Other Ecology and Evolutionary Biology, Physical Sciences and Mathematics, Statistical Methodology, Statistical Models, Terrestrial and Aquatic Ecology
Ecosystems are highly valuable as a source of goods and services and as a heritage for future generations. Knowing their condition is extremely important for all management and conservation activities and public policies. Until now, the evaluation of ecosystem condition has been unsatisfactory and thus lacks practical implementation for most countries. We propose that ecosystem integrity is a [...]
Multimodel approaches are not the best way to understand multifactorial systems
Published: 2023-07-23
Subjects: Applied Statistics, Ecology and Evolutionary Biology
Information-theoretic (IT) and multi-model averaging (MMA) statistical approaches are widely used but suboptimal tools for pursuing a multifactorial approach (also known as the method of multiple working hypotheses) in ecology. (1) Conceptually, IT encourages ecologists to perform tests on sets of artificial models. (2) MMA improves on IT model selection by implementing a simple form of [...]
The missing link: discerning true from false negatives when sampling species interaction networks
Published: 2023-01-18
Subjects: Applied Statistics, Biodiversity, Ecology and Evolutionary Biology, Environmental Monitoring
Ecosystems are composed of networks of interacting species. These interactions allow communities of species to persist through time through both neutral and adaptive processes. Despite their importance, a robust understanding of (and ability to predict and forecast) interactions among species remains elusive. This knowledge-gap is largely driven by a shortfall of data—although species occurrence [...]
Interpolation of temporal biodiversity change, loss, and gain across scales: a machine learning approach
Published: 2022-03-15
Subjects: Applied Statistics, Biodiversity, Ecology and Evolutionary Biology, Life Sciences, Physical Sciences and Mathematics, Statistics and Probability
1. Estimates of temporal change of biodiversity, and its components loss and gain, are needed at local and geographical scales. However, we lack them because of data in-completeness, heterogeneity, and lack of temporal replication. Hence, we need a tool to integrate heterogeneous data and to account for their incompleteness. 2. We introduce spatiotemporal machine learning interpolation that can [...]