Field, C. B., Behrenfeld, M. J., Randerson, J. T. & Falkowski, P. Primary production of the biosphere: integrating terrestrial and oceanic components. Science 281, 237–240 (1998).
Google Scholar
Guidi, L. et al. Plankton networks driving carbon export in the oligotrophic ocean. Nature 532, 465–470 (2016).
Google Scholar
Ptacnik, R. et al. Diversity predicts stability and resource use efficiency in natural phytoplankton communities. Proc. Natl.Acad. Sci. USA 105, 5134–5138 (2008).
Google Scholar
Corcoran, A. A. & Boeing, W. J. Biodiversity increases the productivity and stability of phytoplankton communities. PLoS ONE 7, e49397 (2012).
Google Scholar
Arteaga, L., Pahlow, M. & Oschlies, A. Global patterns of phytoplankton nutrient and light colimitation inferred from an optimality-based model. Glob. Biogeochem. Cycles 28, 648–661 (2014).
Google Scholar
Lewis, M., Hebert, D., Harrison, W. G., Platt, T. & Oakey, N. S. Vertical nitrate fluxes in the oligotrophic ocean. Science 234, 870–873 (1986).
Google Scholar
McGillicuddy, D. J. J. et al. Eddy/wind interactions stimulate extraordinary mid-ocean plankton blooms. Science 316, 1021–1026 (2007).
Google Scholar
Duce, R. A. et al. Impacts of atmospheric anthropogenic nitrogen on the open ocean. Science 320, 893–897 (2008).
Google Scholar
Tang, W. et al. Revisiting the distribution of oceanic N2 fixation and estimating diazotrophic contribution to marine production. Nat. Commun. 10, 831 (2019).
Google Scholar
Letscher, R. T., Primeau, F. & Moore, J. K. Nutrient budgets in the subtropical ocean gyres dominated by lateral transport. Nat. Geosci. 9, 815–819 (2016).
Google Scholar
Righetti, D., Vogt, M., Gruber, N., Psomas, A. & Zimmermann, N. E. Global pattern of phytoplankton diversity driven by temperature and environmental variability. Sci. Adv. 5, eaau6253 (2019).
Google Scholar
Ibarbalz, F. M. et al. Global trends in marine plankton diversity across kingdoms of life. Cell 179, 1084–1097 (2019).
Google Scholar
Lévy, M., Franks, P. J. S. & Smith, K. S. The role of submesoscale currents in structuring marine ecosystems. Nat. Commun. 9, 4758 (2018).
Google Scholar
Dutkiewicz, S. et al. Dimensions of marine phytoplankton diversity. Biogeosciences 17, 609–634 (2020).
Google Scholar
Gove, J. M. et al. Near-island biological hotspots in barren ocean basins. Nat. Commun. 7, 10581 (2016).
Google Scholar
Doty, M. S. & Oguri, M. The island mass effect. ICES J. Mar. Sci. 22, 33–37 (1956).
Google Scholar
Bell, J. D. et al. Planning the use of fish for food security in the Pacific. Mar. Policy 33, 64–76 (2009).
Google Scholar
Bakker, D. C., Nielsdóttir, M. C., Morris, P. J., Venables, H. J. & Watson, A. J. The island mass effect and biological carbon uptake for the subantarctic Crozet Archipelago. Deep Sea Res. Pt II 54, 2174–2190 (2007).
Google Scholar
Heywood, K. J., Stevens, D. P. & Bigg, G. R. Eddy formation behind the tropical island of Aldabra. Deep Sea Res. Pt I 43, 555–578 (1996).
Google Scholar
Palacios, D. M. Factors influencing the island-mass effect of the Galapagos archipelago. Geophys. Res. Lett. 29, 2134 (2002).
Google Scholar
Gilmartin, M. & Revelante, N. The ‘island mass’ effect on the phytoplankton and primary production of the Hawaiian Islands. J. Exp. Mar. Biol. Ecol. 16, 181–204 (1974).
Google Scholar
Signorini, S. C., McClain, C. R. & Dandonneau, Y. Mixing and phytoplankton bloom in the wake of the Marquesas Islands. Geophys. Res. Lett. 26, 3121–3124 (1999).
Google Scholar
Messié, M., Radenac, M.-H., Lefèvre, J. & Marchesiello, P. Chlorophyll bloom in the western Pacific at the end of the 1997-98 El Niño: the role of the Kiribati Islands. Geophys. Res. Lett. 33, L14601 (2006).
Google Scholar
Messié, M. & Radenac, M.-H. Seasonal variability of the surface chlorophyll in the western tropical Pacific from SeaWiFS data. Deep Sea Res. Pt I 53, 1581–1600 (2006).
Google Scholar
Le Borgne, R., Dandonneau, Y. & Lemasson, L. The problem of the island mass effect on chlorophyll and zooplankton standing crops around Mare (Loyalty Islands) and New Caledonia. Bull. Mar. Sci. 37, 450–459 (1985).
Messié, M. et al. The delayed island mass effect: how islands can remotely trigger blooms in the oligotrophic ocean. Geophys. Res. Lett. 47, e2019GL085282 (2020).
Google Scholar
Dandonneau, Y. & Charpy, L. An empirical approach to the island mass effect in the south tropical Pacific based on sea surface chlorophyll concentrations. Deep Sea Res. Pt A 32, 707–721 (1985).
Google Scholar
Shiozaki, T., Kodama, T. & Furuya, K. Large-scale impact of the island mass effect through nitrogen fixation in the western South Pacific Ocean. Geophys. Res. Lett. 41, 2907–2913 (2014).
Google Scholar
Caputi, L. et al. Community-level responses to iron availability in open ocean plankton ecosystems. Glob. Biogeochem. Cycles 33, 391–419 (2019).
Google Scholar
Martinez, E., Rodier, M., Pagano, M. & Sauzède, R. Plankton spatial variability within the Marquesas archipelago, South Pacific. J. Mar. Syst. 212, 103432 (2020).
Google Scholar
Behrenfeld, M. J. & Falkowski, P. G. Photosynthetic rates derived from satellite-based chlorophyll concentration. Limnol. Oceanogr. 42, 1–20 (1997).
Google Scholar
Laws, E. A., Ducklow, H. & McCarthy, J. J. Temperature effects on export production in the open ocean. Glob. Biogeochem. Cycles 14, 1231–1246 (2000).
Google Scholar
Messié, M. & Chavez, F. P. A global analysis of ENSO synchrony: the oceans’ biological response to physical forcing. J. Geophys. Res. 117, C09001 (2012).
Luo, Y.-W., Lima, I. D., Karl, D. M., Deutsch, C. A. & Doney, S. C. Data-based assessment of environmental controls on global marine nitrogen fixation. Biogeosciences 11, 691–708 (2014).
Google Scholar
Messié, M. & Chavez, F. P. Seasonal regulation of primary production in eastern boundary upwelling systems. Prog. Oceanogr. 134, 1–18 (2015).
Google Scholar
Mouw, C. B. et al. A consumer’s guide to satellite remote sensing of multiple phytoplankton groups in the global ocean. Front. Mar. Sci. 4, 41 (2017).
Google Scholar
Alvain, S., Moulin, C., Dandonneau, Y. & Bréon, F. M. Remote sensing of phytoplankton groups in case 1 waters from global SeaWiFS imagery. Deep Sea Res. Pt I 52, 1989–2004 (2005).
Google Scholar
Rêve-Lamarche, A.-H. et al. Ocean color radiance anomalies in the North Sea. Front. Mar. Sci. https://doi.org/10.3389/fmars.2017.00408 (2017).
Alvain, S., Loisel, H. & Dessailly, D. Theoretical analysis of ocean color radiances anomalies and implications for phytoplankton groups detection in case 1 waters. Opt. Express 20, 1070–1083 (2012).
Google Scholar
Mackey, D. J., Blanchot, J., Higgins, H. W. & Neveux, J. Phytoplankton abundances and community structure in the equatorial Pacific. Deep Sea Res. Pt II 49, 2561–2582 (2002).
Google Scholar
Johnson, Z. I. Niche partitioning among Prochlorococcus ecotypes along ocean-scale environmental gradients. Science 311, 1737–1740 (2006).
Google Scholar
Martiny, A. C., Kathuria, S. & Berube, P. M. Widespread metabolic potential for nitrite and nitrate assimilation among Prochlorococcus ecotypes. Proc. Natl. Acad. Sci. USA 106, 10787–10792 (2009).
Google Scholar
Vallina, S. M. et al. Global relationship between phytoplankton diversity and productivity in the ocean. Nat. Commun. 5, 4299 (2014).
Google Scholar
Dai, S. et al. The seamount effect on phytoplankton in the tropical western Pacific. Mar. Environ. Res. 162, 105094 (2020).
Google Scholar
Leitner, A. B., Neuheimer, A. B. & Drazen, J. C. Evidence for long-term seamount-induced chlorophyll enhancements. Sci. Rep. 10, 12729 (2020).
Google Scholar
Bowen, B. W., Rocha, L. A., Toonen, R. J. & Karl, S. A. The origins of tropical marine biodiversity. Trends Ecol. Evol. 28, 359–366 (2013).
Google Scholar
Worm, B., Lotze, H. K. & Myers, R. A. Predator diversity hotspots in the blue ocean. Proc. Natl. Acad. Sci. USA 100, 9884–9888 (2003).
Google Scholar
Block, B. A. et al. Tracking apex marine predator movements in a dynamic ocean. Nature 475, 86–90 (2011).
Google Scholar
Harrison, A.-L. et al. The political biogeography of migratory marine predators. Nat. Ecol. Evol. 2, 1571–1578 (2018).
Google Scholar
Pompa, S., Ehrlich, P. R. & Ceballos, G. Global distribution and conservation of marine mammals. Proc. Natl. Acad. Sci. USA 108, 13600–13605 (2011).
Google Scholar
Wessel, P. & Smith, W. H. F. A global, self-consistent, hierarchical, high-resolution shoreline database. J. Geophys. Res. 101, 8741––8743 (1996).
Google Scholar
Nunn, P. D., Kumar, L., Eliot, I. & McLean, R. F. Classifying Pacific islands. Geosci. Lett 3, 7 (2016).
Google Scholar
Hasegawa, D., Lewis, M. R. & Gangopadhyay, A. How islands cause phytoplankton to bloom in their wakes. Geophys. Res. Lett. 36, L20605 (2009).
Google Scholar
Platt, T. & Sathyendranath, S. Oceanic primary production: estimation by remote sensing at local and regional scales. Science 241, 1613–1620 (1988).
Google Scholar
Hasegawa, D., Yamazaki, H., Ishimaru, T., Nagashima, H. & Koike, Y. Apparent phytoplankton bloom due to island mass effect. J. Mar. Syst. 69, 238–246 (2008).
Google Scholar
Silsbe, G. M., Behrenfeld, M. J., Halsey, K. H., Milligan, A. J. & Westberry, T. K. The CAFE model: a net production model for global ocean phytoplankton. Glob. Biogeochem. Cycles 30, 1756–1777 (2016).
Google Scholar
Ben Mustapha, Z., Alvain, S., Jamet, C., Loisel, H. & Dessailly, D. Automatic classification of water-leaving radiance anomalies from global SeaWiFS imagery: application to the detection of phytoplankton groups in open ocean waters. Remote Sens. Environ. 146, 97–112 (2014).
Google Scholar
Alvain, S., Moulin, C., Dandonneau, Y. & Loisel, H. Seasonal distribution and succession of dominant phytoplankton groups in the global ocean: a satellite view. Glob. Biogeochem. Cycles 22, GB3001 (2008).
Google Scholar
Bray, J. R. & Curtis, J. T. An ordination of the upland forest communities of Southern Wisconsin. Ecol. Monogr. 27, 325–349 (1957).
Google Scholar
Pielou, E. The measurement of diversity in different types of biological collections. J. Theor. Biol. 13, 131–144 (1966).
Google Scholar
Shannon, C. E. A mathematical theory of communication. Bell Syst. Tech. J. 27, 379–423 (1948).
Google Scholar
Colwell, R. K., Mao, C. X. & Chang, J. Interpolating, extrapolating, and comparing incidence-based species accumulation curves. Ecology 85, 2717–2727 (2004).
Google Scholar
De Monte, S., Soccodato, A., Alvain, S. & d’Ovidio, F. Can we detect oceanic biodiversity hotspots from space? ISME J. 7, 2054–2056 (2013).
Google Scholar
Soccodato, A. et al. Estimating planktonic diversity through spatial dominance patterns in a model ocean. Mar. Geonom. 29, 9–17 (2016).
Google Scholar
Messié, M., Petrenko, A., Doglioli, A., Martinez, E. & Alvain, S. Data from: Basin-scale biogeochemical and ecological impacts of islands in the tropical Pacific Ocean (v1.0.0). Zenodo https://doi.org/10.5281/zenodo.6416130 (2022).
Messié, M. Code for: Basin-scale biogeochemical and ecological impacts of islands in the tropical Pacific Ocean (v1.0.0). Zenodo https://doi.org/10.5281/zenodo.6494328 (2022).
Source: Ecology - nature.com
