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Analysing economic costs of invasive alien species with the invacost R package

View ORCID ProfileBoris Leroy, View ORCID ProfileAndrew M. Kramer, View ORCID ProfileAnne-Charlotte Vaissière, View ORCID ProfileMelina Kourantidou, View ORCID ProfileFranck Courchamp, View ORCID ProfileChristophe Diagne
doi: https://doi.org/10.1101/2020.12.10.419432
Boris Leroy
1Unité Biologie des Organismes et Ecosystèmes Aquatiques (BOREA, UMR 8067), Muséum national d’Histoire naturelle, Sorbonne Université, Université de Caen Normandie, CNRS, IRD, Université des Antilles, Paris, France
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  • For correspondence: leroy.boris@gmail.com
Andrew M. Kramer
2University of South Florida, Department of Integrative Biology. Tampa Fl, 33620, USA
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Anne-Charlotte Vaissière
3Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique Evolution, 91405, Orsay, France
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Melina Kourantidou
4Institute of Marine Biological Resources and Inland Waters, Hellenic Center for Marine Research, 164 52, Athens, Greece
5Department of Sociology, Environmental and Business Economics, University of Southern Denmark, 6705, Esbjerg, Denmark
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Franck Courchamp
3Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique Evolution, 91405, Orsay, France
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Christophe Diagne
3Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique Evolution, 91405, Orsay, France
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Abstract

  1. The reported costs of invasive alien species from the global database InvaCost are heterogenous and cover different spatio-temporal scales. A standard procedure for aggregating invasive species cost estimates is necessary to ensure the repeatability and comparativeness of studies.

  2. We introduce here the invacost R package, an open-source software designed to query and analyse the InvaCost database. We illustrate this package and its framework with cost data associated with invasive alien invertebrates.

  3. First, the invacost package provides updates of this dynamic database directly in the analytical environment R. Second, it helps understand the heteregoneous nature of monetary cost data for invasive species, processes to harmonize the data, and the inherent biases associated with such data. Third, it readily provides complementary methods to investigate the costs of invasive species at different scales, all the while accounting for econometric statistical issues.

  4. This tool will be useful for scientists working on invasive alien species, by (i) facilitating access to and use of this multi-disciplinary data resource and (ii) providing a standard procedure which will facilitate reproducibility and comparability among studies, one of the major critics of this topic until now. It should facilitate further interdisciplinary works including economists and invasion ecology researchers.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Conflict of Interest statement No conflict of interest.

  • We modified the text in several instances, in order to provide further details and guidance on the economic aspects.

  • https://github.com/Farewe/invacost

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted April 08, 2022.
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Analysing economic costs of invasive alien species with the invacost R package
Boris Leroy, Andrew M. Kramer, Anne-Charlotte Vaissière, Melina Kourantidou, Franck Courchamp, Christophe Diagne
bioRxiv 2020.12.10.419432; doi: https://doi.org/10.1101/2020.12.10.419432
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Analysing economic costs of invasive alien species with the invacost R package
Boris Leroy, Andrew M. Kramer, Anne-Charlotte Vaissière, Melina Kourantidou, Franck Courchamp, Christophe Diagne
bioRxiv 2020.12.10.419432; doi: https://doi.org/10.1101/2020.12.10.419432

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