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2 septembre 2022
- handle: 10670/1.ily9pm
- hal: hal-03860634
- doi: 10.1111/2041-210x.13929
- WOS: 000825870900001
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info:eu-repo/semantics/altIdentifier/doi/10.1111/2041-210x.13929
http://creativecommons.org/licenses/by-nc-nd/ , info:eu-repo/semantics/OpenAccess
Mots-clés
biological invasions drivers of change in biodiversity economic costs economic impacts ecosystem services invasive alien species Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q5 - Environmental Economics/Q.Q5.Q51 - Valuation of Environmental EffectsSujets proches
Invaders (Organisms) Foreign species (Introduced organisms) Invasive alien species Translocated organisms Foreign organisms (Introduced organisms) Naturalised organisms Alien species Non-indigenous organisms Non-native species Nonindigenous species Non-native organisms Nonnative species Naturalized organisms Introduced species Translocated species Invasive species Exotic organisms Nonindigenous organisms Invasive organisms Nonnative organisms Alien organisms Exotic species Non-indigenous speciesCiter ce document
Boris Leroy et al., « Analysing economic costs of invasive alien species with the INVACOST R package », HAL-SHS : économie et finance, ID : 10.1111/2041-210x.13929
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Résumé
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.