Standardized ecological indicators to assess aquatic food webs: The ECOIND software plug-in for Ecopath with Ecosim models

Autor: Marta Coll, Jeroen Steenbeek
Přispěvatelé: MARine Biodiversity Exploitation and Conservation (UMR MARBEC), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut de Recherche pour le Développement (IRD), Institute of Marine Sciences / Institut de Ciències del Mar [Barcelona] (ICM), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), European Commission, Ministerio de Economía y Competitividad (España), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Environmental Modelling and Software
Environmental Modelling and Software, Elsevier, 2017, 89, pp.120--130. ⟨10.1016/j.envsoft.2016.12.004⟩
Digital.CSIC. Repositorio Institucional del CSIC
instname
ISSN: 1364-8152
DOI: 10.1016/j.envsoft.2016.12.004⟩
Popis: 11 pages, 4 figures, 2 tables, 1 appendix supplementary data
Ecological indicators are useful tools to analyse and communicate historical changes in ecosystems and plausible future scenarios while evaluating environmental status. Here we introduce a new plug-in to the Ecopath with Ecosim (EwE) food web modelling approach, which is widely used to quantitatively describe aquatic ecosystems. The plug-in (ECOIND) calculates standardized ecological indicators. We describe the primary functionality of ECOIND and provide an example of its application in both static and temporal-spatial dynamic modelling, while we highlight several related features including a new taxonomy input database (species traits) and the ability to analyse input uncertainty on output results. ECOIND adds new capabilities to the widely used EwE food web modelling approach and enables broadening its applications into biodiversity and conservation-based frameworks to contribute to integrated ecosystem analyses
MC was partially funded by the European Commission through the Marie Curie Career Integration Grant Fellowships – PCIG10-GA-2011-303534 - to the BIOWEB project. This study is a contribution to the projects ECOTRANS (CTM2011-26333, Ministerio de Economía y Competitividad, Spain), BlueBRIDGE (EC 2020-EINFRA-9-2015- RIA-Proposal number: 675680) and SafeNET (EU-DGMARE MARE/2014/41)
Databáze: OpenAIRE