Preprints

Filtering by Subject: Applied Mathematics

New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application

Dylan G. E. Gomes, Joseph Benjamin, Benjamin Clemens, et al.

Published: 2024-11-25
Subjects: Applied Mathematics, Applied Statistics, Ecology and Evolutionary Biology, Life Sciences, Marine Biology, Natural Resources and Conservation, Natural Resources Management and Policy, Population Biology, Systems Biology, Terrestrial and Aquatic Ecology

Lampreys (Petromyzontiformes) are an ancient group of fishes with complex life histories. We created a life cycle model that includes an R Shiny interactive web application interface to simulate abundance by life stage. This will allow scientists and managers to connect available demographic information in a framework that can be applied to questions regarding lamprey biology and conservation. We [...]

The costs and benefits of publicising species discoveries.

Gerard Ryan, Emily Nicholson, Christopher Baker, et al.

Published: 2024-02-10
Subjects: Applied Mathematics, Biodiversity, Biology

Public information about where species are found can influence what happens to them – from building support to protect their habitat, to telling poachers where to find a target. Recent heated scientific debate about whether to release information about species’ locations when new species or populations are found have highlighted the trade-off between the risk of damage or loss versus the benefits [...]

Developing systems theory in soil agroecology: Incorporating heterogeneity and dynamic instability

Nicholas Medina, John Vandermeer

Published: 2023-03-22
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 [...]

The Orchard Plot: Cultivating a Forest Plot for Use in Ecology, Evolution and Beyond

Shinichi Nakagawa, Malgorzata Lagisz, Rose E O'Dea, et al.

Published: 2019-12-30
Subjects: Applied Mathematics, Ecology and Evolutionary Biology, Life Sciences, Other Ecology and Evolutionary Biology, Physical Sciences and Mathematics

‘Classic’ forest plots show the effect sizes from individual studies and the aggregate effect from a meta-analysis. However, in ecology and evolution meta-analyses routinely contain over 100 effect sizes, making the classic forest plot of limited use. We surveyed 102 meta-analyses in ecology and evolution, finding that only 11% use the classic forest plot. Instead, most used a ‘forest-like plot’, [...]

Toward a Pluralistic Conception of Resilience

Matteo Convertino, James Valverde

Published: 2019-06-29
Subjects: Applied Mathematics, Computer Sciences, Dynamic Systems, Ecology and Evolutionary Biology, Environmental Health and Protection, Environmental Indicators and Impact Assessment, Environmental Monitoring, Environmental Sciences, Life Sciences, Medicine and Health Sciences, Natural Resources and Conservation, Numerical Analysis and Computation, Other Medicine and Health Sciences, Other Physical Sciences and Mathematics, Physical Sciences and Mathematics, Social and Behavioral Sciences, Sustainability, Systems Biology

The concept of resilience occupies an increasingly prominent position within contemporary efforts to confront many of modernitys most pressing challenges, including global environmental change, famine, infrastructure, poverty, and terrorism, to name but a few. Received views of resilience span a broad conceptual and theoretical terrain, with a diverse range of application domains and settings. In [...]

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