Carbon‐based ocean productivity and phytoplankton physiology from space
By Michael J. Behrenfeld, Emmanuel S. Boss, D. Siegel, Donald M. Shea. 2005
1,102 citations recorded by the source corpus.
Subfields: Ecology, Oceanography
View Paper: https://www.semanticscholar.org/paper/d7329e1c62260602e4827494574ee3f98158cb6c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Michael J. Behrenfeld
- Charles R. McClain
- Mridul K. Thomas
- Elena Litchman
- C. Klausmeier
- Kyle F. Edwards
- Emmanuel S. Boss
- M. Huston
In Oceanography
- Michael J. Behrenfeld
- Elena Litchman
- Charles R. McClain
- Mridul K. Thomas
- C. Klausmeier
- Kyle F. Edwards
- Emmanuel S. Boss
- D. Siegel
Citations in the corpus
- State of the climate in 2010 (2011, background): “Chl provides a measure of phytoplankton pigments and its variability reflects the combined influences of changes in phytoplankton biomass and its physiological responses to light and nutrient levels (e.g., Falkowski 1984; Behrenfeld et al. 2005).”
- Optical oceanography: Recent advances and future directions using global remote sensing and in situ observations (2006, background): “…measure light beam c to derive suspended sediment volume, phytoplankton biomass, and concentrations of particulate organic carbon (POC) [Bishop et al., 1999; Gardner et al., 2001] and productivity in the form of POC [e.g., Siegel et al., 1989; Cullen et al., 1992; Behrenfeld et al., 2005].”
- Gelatinous zooplankton biomass in the global oceans: geographic variation and environmental drivers (2014, methodology): “…and zooplankton median biomass are 56 mg C m−3 (Boyce et al., 2010; where mg Chl a is converted to C using median Chl:C of 0.01 according to Behrenfeld et al., 2005) and 4.18 mg C m−3 (Table A1 in Strömberg et al. (2009), where biomass is modelled from primary production and transfer…”
- Phytoplankton growth and the interaction of light and temperature: A synthesis at the species and community level (2016, background): “If a variable Chl:C is used instead, derived from the remote sensing model of Behrenfeld et al. (2005), the results are very similar (Supporting Information Fig.”
- Relating coccolithophore calcification rates to phytoplankton community dynamics: Regional differences and implications for carbon export (2007, background): “Variability of the C:Chl is linked to the growth conditions (nutrients, light availability) of the phytoplankton cells (Geider et al., 1998; Behrenfeld et al., 2005).”
- Particle optical backscattering along a chlorophyll gradient in the upper layer of the eastern South Pacific Ocean (2007, methodology): “1 mg m−3, one formulated by Morel and Maritorena (2001) and the other by Behrenfeld et al. (2005). The latter is based on simultaneous retrievals of [Chl] andbbp(λ) from remotely sensed ocean color radiometric data. Our present experimental findings, which are based on coincident in situ measurement”
- Regulation of animal size by eNPP, Bergmann's rule, and related phenomena (2011, methodology): “…of the amount of algal chlorophyll in the upper portion of the water column, converted to eNPP using algorithms such as the vertically generalized production model (VGPM; Behrenfeld and Falkowski 1997, Behrenfeld et al. 2001) or subsequent modifications (e.g., Behrenfeld et al. 2005, 2006).”
- Carbon‐to‐chlorophyll ratio for phytoplankton in temperate coastal waters: Seasonal patterns and relationship to nutrients (2016, background): “Yet know seasonal minimum and maximum C:Chl a were required to make this model to function properly (Behrenfeld et al. 2005).”
- Combined constraints on global ocean primary production using observations and models (2013, methodology): “More recently, global NPP has been estimated using remote sensing of surface chlorophyll [Antoine et al., 1996; Behrenfeld and Falkowski, 1997; Mélin, 2003] or surface carbon [Behrenfeld et al., 2005].”
- Beam attenuation and chlorophyll concentration as alternative optical indices of phytoplankton biomass (2006, positive): “Behrenfeld et al. (2005) analyzed satellite chlorophyll and b bp data from the Sea-viewing Wide Field of View Sensor (SeaWiFS) and found regional Chl: b bp ratios to vary in a manner consistent with anticipated physiological responses of phytoplankton to changing light, nutrient, and temperature…”
- Colored dissolved organic matter and its influence on the satellite‐based characterization of the ocean biosphere (2005, methodology): “Finally, a path for retrieving information on growth rates from space has recently been developed that is based on phytoplankton chlorophyll-to-carbon ratios derived from GSM absorption and backscattering products [Behrenfeld et al., 2005].”