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

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  • معلومة اضافية
    • Contributors:
      Biologie des Organismes et Ecosystèmes Aquatiques (BOREA); Université de Caen Normandie (UNICAEN); Normandie Université (NU)-Normandie Université (NU)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA); University of South Florida Tampa (USF); Ecologie Systématique et Evolution (ESE); AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS); University of Southern Denmark (SDU); Hellenic Centre for Marine Research (HCMR); Centre de Biologie pour la Gestion des Populations (UMR CBGP); Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD Occitanie )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM); B.L., A.-C.V. and F.C. were funded by their salaries as French public servants. The post-doctoral contract of C.D. was funded by the BiodivERsA-Belmont Forum Project ‘Alien Scenarios’ (BMBF/PT DLR 01LC1807C).
    • بيانات النشر:
      HAL CCSD
      Wiley
    • الموضوع:
      2022
    • Collection:
      Université de Montpellier: HAL
    • نبذة مختصرة :
      The peer review history for this article is available at https://publons.com/publon/10.1111/2041-210X.13929. All data are freely available in the invacost r package, downloadable from the Comprehensive R Archive Network https://cran.r-project.org/package=invacost, and the R package code is open-source and available on github at https://github.com/Farewe/invacost. The version of the package used in this manuscript (v1.1-4) is stored on Zenodo (Leroy et al., 2022, 10.5281/zenodo.6653232). ; International audience ; 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.
    • Relation:
      WOS: 000825870900001
    • الرقم المعرف:
      10.1111/2041-210x.13929
    • الدخول الالكتروني :
      https://hal.science/hal-03860634
      https://hal.science/hal-03860634v1/document
      https://hal.science/hal-03860634v1/file/R%20package.pdf
      https://doi.org/10.1111/2041-210x.13929
    • Rights:
      http://creativecommons.org/licenses/by-nc-nd/ ; info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.F66EBC6F