A roadmap for a quantitative ecosystem-based environmental impact assessment

Autor: Jeff Wilson, Jean-Marc Guarini, Laurent Chauvaud, Jennifer Coston-Guarini, Shawn Hinz
Přispěvatelé: Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Université de Brest (UBO), Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National de la Recherche Scientifique (CNRS)-Université de Brest (UBO), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
alaska
Computer science
020209 energy
media_common.quotation_subject
Population
02 engineering and technology
010501 environmental sciences
Aquatic Science
socio-ecological system
Oceanography
oil
01 natural sciences
modelling
Ecosystem model
11. Sustainability
0202 electrical engineering
electronic engineering
information engineering
Environmental impact assessment
education
Ecology
Evolution
Behavior and Systematics
0105 earth and related environmental sciences
media_common
ecosystem
education.field_of_study
Generality
Ecology
environmental impact assessment
ACL
thresholds
Cumulative effects
drivers of change
stability
ocean
Interdependence
Identification (information)
eia
Risk analysis (engineering)
13. Climate action
fisheries
Socio-ecological system
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
management
Zdroj: ICES Journal of Marine Science
ICES Journal of Marine Science, 2017, 74 (7), pp.2012-2023. ⟨10.1093/icesjms/fsx015⟩
ICES Journal of Marine Science, Oxford University Press (OUP), 2017, 74 (7), pp.2012-2023. ⟨10.1093/icesjms/fsx015⟩
ISSN: 1054-3139
1095-9289
Popis: A new roadmap for quantitative methodologies of Environmental Impact Assessment (EIA) is proposed, using an ecosystem-based approach. EIA recommendations are currently based on case-by-case rankings, distant from statistical methodologies, and ecological ideas that lack proof of generality or predictive capacities. These qualitative approaches ignore process dynamics, scales of variations and interdependencies and are unable to address societal demands to link socio-economic and ecological processes (e.g. population dynamics). We propose to re-focus EIA around the systemic formulation of interactions between organisms (organized in populations and communities) and their environments but inserted within a strict statistical framework. A systemic formulation allows scenarios to be built that simulate impacts on chosen receptors. To illustrate the approach, we design a minimum ecosystem model that demonstrates nontrivial effects and complex responses to environmental changes and validated with case study. We suggest that an Ecosystem-Based EIA—in which the socio-economic system is an evolving driver of the ecological one—is more promising than a socio-economic-ecological system where all variables are treated as equal. This refocuses the debate on cause-and-effect, processes, identification of essential portable variables, and allows for quantitative comparisons between projects, which is critical in cumulative effects determinations.
Databáze: OpenAIRE
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