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

Boris Leroy (), Andrew Kramer, Anne‐charlotte Vaissière (), Melina Kourantidou, Franck Courchamp () and Christophe Diagne ()
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Boris Leroy: BOREA - Biologie des Organismes et Ecosystèmes Aquatiques - UNICAEN - Université de Caen Normandie - NU - Normandie Université - MNHN - Muséum national d'Histoire naturelle - IRD - Institut de Recherche pour le Développement - SU - Sorbonne Université - CNRS - Centre National de la Recherche Scientifique - UA - Université des Antilles
Andrew Kramer: USF - University of South Florida [Tampa]
Anne‐charlotte Vaissière: ESE - Ecologie Systématique et Evolution - AgroParisTech - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique
Franck Courchamp: ESE - Ecologie Systématique et Evolution - AgroParisTech - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique
Christophe Diagne: ESE - Ecologie Systématique et Evolution - AgroParisTech - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique, UMR CBGP - Centre de Biologie pour la Gestion des Populations - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - IRD [Occitanie] - Institut de Recherche pour le Développement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier

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Abstract: 1. The reported costs of invasive alien species from the global database InvaCost are heterogeneous 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 heterogeneous 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 (a) facilitating access to and use of this multidisciplinary data resource and (b) 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.

Keywords: biological invasions; drivers of change in biodiversity; economic costs; economic impacts; ecosystem services; invasive alien species (search for similar items in EconPapers)
Date: 2022-09-02
New Economics Papers: this item is included in nep-agr and nep-env
Note: View the original document on HAL open archive server: https://hal.science/hal-03860634v1
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Citations: View citations in EconPapers (8)

Published in Methods in Ecology and Evolution, 2022, 13 (9), pp.1930-1937. ⟨10.1111/2041-210x.13929⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03860634

DOI: 10.1111/2041-210x.13929

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