Predicting marine phytoplankton community size structure from empirical relationships with remotely sensed variables
Carolyn Barnes,Xabier Irigoien,José A. A. De Oliveira,David Maxwell,Simon Jennings,Simon Jennings +5 more
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In this article, the authors describe relationships between the environment and the size composition of phytoplankton communities, using a collation of empirical measurements of size composition from sites that include polar, tropical and upwelling environments.Abstract:
The size composition of primary producers has a potential influence on the length of marine food chains and carbon sinking rates, thus on the proportion of primary production (PP) that is removed from the upper layers and available to higher trophic levels. While total rates of PP are widely reported, it is also necessary to account for the size composition of primary producers when developing food web models that predict consumer biomass and production. Empirical measurement of size composition over large space and time scales is not feasible, so one approach is to predict size composition from environmental variables that are measured and reported on relevant scales. Here, we describe relationships between the environment and the size composition of phytoplankton communities, using a collation of empirical measurements of size composition from sites that include polar, tropical and upwelling environments. The size composition of the phytoplankton communities can be predicted using two remotely sensed variables, chlorophyll-a concentration and sea surface temperature. Applying such relationships in combination allows prediction of the slope and location of phytoplankton size spectra and estimation of the percentage of different sized phytoplankton groups in communities.read more
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Can marine fisheries and aquaculture meet fish demand from a growing human population in a changing climate
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Overview of Integrative Assessment of Marine Systems: The Ecosystem Approach in Practice
Ángel Borja,Michael Elliott,Jesper H. Andersen,Torsten Berg,Jacob Carstensen,Benjamin S. Halpern,Benjamin S. Halpern,Anna-Stiina Heiskanen,Samuli Korpinen,Julia S. Stewart Lowndes,Georg Martin,Naiara Rodríguez-Ezpeleta +11 more
TL;DR: Five existing methods that address the needs of monitoring and assessment of marine ecosystems are reviewed, highlighting their main characteristics and analyzing their commonalities and differences.
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Does warming enhance the effect of microzooplankton grazing on marine phytoplankton in the ocean
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Journal ArticleDOI
Modelling the effects of climate change on the distribution and production of marine fishes: accounting for trophic interactions in a dynamic bioclimate envelope model.
Jose A. Fernandes,William W. L. Cheung,Simon Jennings,Simon Jennings,Momme Butenschön,Lee de Mora,Thomas L. Frölicher,Manuel Barange,Alastair Grant +8 more
TL;DR: Predicted latitudinal shifts are, on average, reduced by 20% when species interactions are incorporated, compared to DBEM predictions, with pelagic species showing the greatest reductions.
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Locations of marine animals revealed by carbon isotopes
Kirsteen M. MacKenzie,Martin R. Palmer,A. Moore,Anton T. Ibbotson,William R. C. Beaumont,David Poulter,Clive N. Trueman +6 more
TL;DR: It is shown that marine location can be inferred from animal tissues, and carbon isotope ratios can be used to identify the location of open ocean feeding grounds for any pelagic animals for which tissue archives and matching records of sea surface temperature are available.
References
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Variation in the transfer of energy in marine plankton along a productivity gradient in the Atlantic Ocean
Elena San Martin,Xabier Irigoien,Harris Roger P,Ângel López Urrutia,Mikhail V. Zubkov,Jane L. Heywood +5 more
TL;DR: In this paper, the transfer of energy between phytoplankton and zooplankt can be inferred from regular patterns in population size structure, where plots of abundance within size classes typically show a power-law dependence on size.
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Model evaluation based on the sampling distribution of estimated absolute prediction error
TL;DR: In this article, the authors consider the absolute prediction error, the expected value of the absolute difference between the future and predicted responses, as the model evaluation criterion and show that this prediction error is easier to interpret than the average squared error and is equivalent to the misclassification error for a binary outcome.
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Measurement of body size and abundance in tests of macroecological and food web theory
TL;DR: The results show that the 'all individuals' approach has the potential to provide more powerful tests of the energetic equivalence hypothesis and role of energy availability in determining slopes, but new theory and empirical analysis are needed to explain distributions of species relative abundance at W.
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General patterns in the size scaling of phytoplankton abundance in coastal waters during a 10-year time series.
TL;DR: The scaling relationship between total abundance and cell size (size spectrum) for nano- and micro-phytoplankton in a shelf station off NW Iberian Peninsula on a monthly basis during the period 1993-2002 was determined in this paper.
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Mining a Sea of Data: Deducing the Environmental Controls of Ocean Chlorophyll
Andrew J. Irwin,Zoe V. Finkel +1 more
TL;DR: A statistical approach is developed to estimate the response of remote-sensed ocean chlorophyll to a variety of physical and chemical variables that should be able to apply to future climate change scenarios, with changes in temperature, nutrient distributions, irradiance, and ocean physics.