Preprints

Filtering by Subject: Computer Sciences

Japanese mayfly family classification with a vision transformer model

Yuichi Iwasaki, Hiroko Arai, Akihiro Tamada, et al.

Published: 2024-02-10
Subjects: Aquaculture and Fisheries Life Sciences, Artificial Intelligence and Robotics, Biodiversity, Civil and Environmental Engineering, Computer Sciences, Databases and Information Systems, Engineering, Environmental Health and Protection, Environmental Indicators and Impact Assessment, Environmental Monitoring, Environmental Sciences, Terrestrial and Aquatic Ecology

Benthic macroinvertebrates are a frequently used indicator group for biomonitoring and biological assessment of river ecosystems. However, their taxonomic identification is laborious and requires special expertise. In this study, we aimed to assess the capability of a vision transformer (ViT) model for family-level identification of mayflies (order Ephemeroptera). Specifically, we focused on [...]

Scientific maps should reach everyone: a straightforward approach to let colour blind people visualise spatial patterns

Duccio Rocchini, Jakub Nowosad, Rossella D'Introno, et al.

Published: 2022-09-09
Subjects: Computer Sciences, Earth Sciences, Environmental Sciences, Mathematics, Physical Sciences and Mathematics

Maps represent powerful tools to show the spatial variation of a variable in a straightforward manner. A crucial aspect in map rendering for its interpretation by users is the gamut of colours used for displaying data. One part of this problem is linked to the proportion of the human population that is colour blind and, therefore, highly sensitive to colour palette selection. The aim of this [...]

Phyloreferences: Tree-Native, Reproducible, and Machine-Interpretable Taxon Concepts

Nico Cellinese, Stijn Conix, Hilmar Lapp

Published: 2021-03-06
Subjects: Biodiversity, Bioinformatics, Computer Sciences, Databases and Information Systems, Ecology and Evolutionary Biology, Engineering, Life Sciences, Other Ecology and Evolutionary Biology, Physical Sciences and Mathematics, Software Engineering

Evolutionary and organismal biology have become inundated with data. At the same rate, we are experiencing a surge in broader evolutionary and ecological syntheses for which tree-thinking is the staple for a variety of post-tree analyses. To fully take advantage of this wealth of data to discover and understand large-scale evolutionary and ecological patterns, computational data integration, i.e. [...]

[Final version available] Explainable Artificial Intelligence enhances the ecological interpretability of black-box species distribution models

Masahiro Ryo, Boyan Angelov, Stefano Mammola, et al.

Published: 2020-04-17
Subjects: Artificial Intelligence and Robotics, Biodiversity, Computer Sciences, Ecology and Evolutionary Biology, Life Sciences, Physical Sciences and Mathematics, Research Methods in Life Sciences, Terrestrial and Aquatic Ecology

Species distribution models (SDMs) are widely used in ecology, biogeography and conservation biology to estimate relationships between environmental variables and species occurrence data and make predictions of how their distributions vary in space and time. During the past two decades, the field has increasingly made use of machine learning approaches for constructing and validating SDMs. Model [...]

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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