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Published VersionCC BY V4.0, Open Access
Journal article
Modeling What We Sample and Sampling What We Model: Challenges for Zooplankton Model Assessment
Frontiers in Marine Science, Vol.4, pp.1-19
2017
Abstract
Zooplankton are the intermediate trophic level between phytoplankton and fish, and are an important component of carbon and nutrient cycles, accounting for a large proportion of the energy transfer to pelagic fishes and the deep ocean. Given zooplankton's importance, models need to adequately represent zooplankton dynamics. A major obstacle, though, is the lack of model assessment. Here we try and stimulate the assessment of zooplankton in models by filling three gaps. The first is that many zooplankton observationalists are unfamiliar with the biogeochemical, ecosystem, size based and individual based models that have zooplankton functional groups, so we describe their primary uses and how each typically represents zooplankton. The second gap is that many modelers are unaware of the zooplankton data that are available, and are unaccustomed to the different zooplankton sampling systems, so we describe the main sampling platforms and discuss their strengths and weaknesses for model assessment. Filling these gaps in our understanding of models and observations provides the necessary context to address the last gap a blueprint for model assessment of zooplankton. We detail two ways that zooplankton biomass/abundance observations can be used to assess models: data wrangling that transforms observations to be more similar to model output; and observation models that transform model outputs to be more like observations. We hope that this review will encourage greater assessment of zooplankton in models and ultimately improve the representation of their dynamics.
Details
- Title
- Modeling What We Sample and Sampling What We Model: Challenges for Zooplankton Model Assessment
- Authors
- Jason D. Everett (Corresponding Author) - UNSW SydneyMark E. Baird (Author) - CSIRO Oceans and AtmospherePearse Buchanan (Author) - University of TasmaniaCathy Bulman (Author) - CSIRO Oceans and AtmosphereClaire Davies (Author) - CSIRO Oceans and AtmosphereRyan Downie (Author) - CSIRO Oceans and AtmosphereChris Griffiths (Author) - University of TasmaniaRyan Heneghan (Author) - The University of QueenslandRudy J. Kloser (Author) - CSIRO Oceans and AtmosphereLeonardo Laiolo (Author) - CSIRO Oceans and AtmosphereAna Lara-Lopez (Author) - Integrated Marine Observing SystemHector Lozano-Montes (Author) - CSIRO Oceans and AtmosphereRichard J. Matear (Author) - CSIRO Oceans and AtmosphereFelicity McEnnulty (Author) - CSIRO Oceans and AtmosphereBarbara Robson (Author) - CSIRO Land and WaterWayne Rochester (Author) - CSIRO Oceans and AtmosphereJenny Skerratt (Author) - CSIRO Oceans and AtmosphereJames A. Smith (Author) - UNSW SydneyJoanna Strzelecki (Author) - CSIRO Oceans and AtmosphereIain M. Suthers (Author) - UNSW SydneyKerrie M. Swadling (Author) - University of TasmaniaPaul van Ruth (Author) - South Australian Research and Development InstituteAnthony J. Richardson (Author) - The University of Queensland
- Publication details
- Frontiers in Marine Science, Vol.4, pp.1-19
- Publisher
- Frontiers Research Foundation
- Date published
- 2017
- DOI
- 10.3389/fmars.2017.00077
- ISSN
- 2296-7745
- Copyright note
- © 2017 Everett, Baird, Buchanan, Bulman, Davies, Downie, Griffiths, Heneghan, Kloser, Laiolo, Lara-Lopez, Lozano-Montes, Matear, McEnnulty, Robson, Rochester, Skerratt, Smith, Strzelecki, Suthers, Swadling, van Ruth and Richardson. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99745579202621
- Output Type
- Journal article
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