Predicting marine phytoplankton maximum growth rates from temperature: Improving on the Eppley curve using quantile regression

By J. Bissinger, D. J. Montagnes, Jonathan harples, David Atkinson. 2008

228 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/872c33d13ff3ed1aac5894a45e77e35fd4c8b22e

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In Ecology

In Global and Planetary Change

Citations in the corpus

Relationships between phytoplankton growth and cell size in surface oceans: Interactive effects of temperature, nutrients, and grazing (2010, methodology): “To standardize the effect of temperature (T; uC), we used a Q10 of 1.88 (Eppley 1972; Bissinger et al. 2008) so that log10 (m) 2 0.0275T is the temperature-corrected phytoplankton specific growth rate.”
Phytoplankton growth and the interaction of light and temperature: A synthesis at the species and community level (2016, background): “This curve is equivalent to a Q10 of 1.88, i.e., growth increases by a factor of 1.88 when temperature increases by 108C (a recent update using more data by Bissinger et al. (2008) found an essentially identical exponent, l 5 0.81 3 100.02743T, or Q10 5 1.88).”
Temperature influence on phytoplankton community growth rates (2016, methodology): “However, our apparent Q10 value of ~1.5 is significantly lower than the canonical value of 2.0 often used when assigning explicit Q10 values in models [Eppley, 1972; Goldman and Carpenter, 1974; Bissinger et al., 2008].”
Combined constraints on global ocean primary production using observations and models (2013, methodology): “For diatoms and mixed phytoplankton, we used the data from the Liverpool Phytoplankton Database [Bissinger et al., 2008].”
Bridging the gap between marine biogeochemical and fisheries sciences; configuring the zooplankton link (2014, background): “All this continuing effort on zooplankton temperature-related physiology contrasts with that on temperature relationships for phytoplankton, which typically refer back to classic papers such as Eppley (1972), or to the recent modification thereof (Bissinger et al., 2008).”
Responsibility of microzooplankton and parasite pressure for the demise of toxic dinoflagellate blooms (2008, unknown): “However, the rate chosen was appropriate for dinoflagellates, allows competition, and is well within the boundaries of this size class (see Bissinger et al. 2008) β = + −⎡ ⎣⎢ ⎤ ⎦⎥ × ln ln( ) 1 1 24 1000 p N P Nt d d u P t D P= −β d d i u D t D P= β d d u u D t D P= −β p I bx= − −MAX e( )1 Appendix…”
Temperature‐ and size‐scaling of phytoplankton population growth rates: Reconciling the Eppley curve and the metabolic theory of ecology (2017, methodology): “Bissinger et al. (2008) used regression techniques to rigorously estimate this envelope.”
Is there a difference of temperature sensitivity between marine phytoplankton and heterotrophs? (2017, methodology): “This dataset was built upon four published datasets (L! opez-Urrutia et al. 2006; Rose and Caron 2007; Bissinger et al. 2008; Thomas et al. 2012).”
Dimensions of marine phytoplankton diversity (2019, background): “Warmer-adapted types are assumed to grow faster as suggested empirically (Eppley, 1972; Bissenger et al., 2008) and from enzymatic kinetics (Kooijman, 2000).”
Harmful algal blooms and climate change: Learning from the past and present to forecast the future (2015, background): “The link between increasing water temperatures and phytoplankton growth rates has long been recognized (Bissenger et al., 2008; Eppley, 1972), and it is expected that increased potential growth rates will accompany warming.”