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  • A community-based framework for aquatic ecosystem models

    Author(s)
    Trolle, Dennis
    Hamilton, David P
    Hipsey, Matthew R
    Bolding, Karsten
    Bruggeman, Jorn
    Mooij, Wolf M
    Janse, Jan H
    Nielsen, Anders
    Jeppesen, Erik
    Elliott, J Alex
    Makler-Pick, Vardit
    Petzoldt, Thomas
    Rinke, Karsten
    Flindt, Mogens R
    Arhonditsis, George B
    Gal, Gideon
    Bjerring, Rikke
    Tominaga, Koji
    Hoen, Jochem't
    Downing, Andrea S
    Marques, David M
    Fragoso, Carlos R
    Sondergaard, Martin
    Hanson, Paul C
    Griffith University Author(s)
    Hamilton, David P.
    Year published
    2012
    Metadata
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    Abstract
    Here, we communicate a point of departure in the development of aquatic ecosystem models, namely a new community-based framework, which supports an enhanced and transparent union between the collective expertise that exists in the communities of traditional ecologists and model developers. Through a literature survey, we document the growing importance of numerical aquatic ecosystem models while also noting the difficulties, up until now, of the aquatic scientific community to make significant advances in these models during the past two decades. Through a common forum for aquatic ecosystem modellers we aim to (i) advance ...
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    Here, we communicate a point of departure in the development of aquatic ecosystem models, namely a new community-based framework, which supports an enhanced and transparent union between the collective expertise that exists in the communities of traditional ecologists and model developers. Through a literature survey, we document the growing importance of numerical aquatic ecosystem models while also noting the difficulties, up until now, of the aquatic scientific community to make significant advances in these models during the past two decades. Through a common forum for aquatic ecosystem modellers we aim to (i) advance collaboration within the aquatic ecosystem modelling community, (ii) enable increased use of models for research, policy and ecosystem-based management, (iii) facilitate a collective framework using common (standardised) code to ensure that model development is incremental, (iv) increase the transparency of model structure, assumptions and techniques, (v) achieve a greater understanding of aquatic ecosystem functioning, (vi) increase the reliability of predictions by aquatic ecosystem models, (vii) stimulate model inter-comparisons including differing model approaches, and (viii) avoid ‘re-inventing the wheel’, thus accelerating improvements to aquatic ecosystem models. We intend to achieve this as a community that fosters interactions amongst ecologists and model developers. Further, we outline scientific topics recently articulated by the scientific community, which lend themselves well to being addressed by integrative modelling approaches and serve to motivate the progress and implementation of an open source model framework.
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    Journal Title
    Hydrobiologia
    Volume
    683
    Issue
    1
    DOI
    https://doi.org/10.1007/s10750-011-0957-0
    Subject
    Earth sciences
    Environmental sciences
    Biological sciences
    Ecology not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/340257
    Collection
    • Journal articles

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