Community efficiency during succession: a test of MacArthur's minimization principle in phytoplankton communities.

Robert MacArthur's niche theory makes explicit predictions on how community function should change over time in a competitive community. A key prediction is that succession progressively minimizes the energy wasted by a community, but this minimization is a trade-off between energy losses from unutilised resources and costs of maintenance. By predicting how competition determines community efficiency over time MacArthur's theory may inform on the impacts of disturbance on community function and invasion risk. We provide a rare test of this theory using phytoplankton communities, and find that older communities wasted less energy than younger ones but that the reduction in energy wastage was not monotonic over time. While community structure followed consistent and clear trajectories, community function was more idiosyncratic among adjoining successional stages and driven by total community biomass rather than species composition. Our results suggest that subtle shifts in successional sequence can alter community efficiency and these effects determine community function independently of individual species membership. We conclude that, at least in phytoplankton communities, general trends in community function are predictable over time accordingly to MacArthur's theory. Tests of MacArthur's minimization principle across very different systems should be a priority given the potential of this theory to inform on the functional properties of communities.

[1]  Benjamin L Turner,et al.  Ecological succession in a changing world , 2019, Journal of Ecology.

[2]  H. Hillebrand,et al.  “Unifying” the Concept of Resource Use Efficiency in Ecology , 2019, Front. Ecol. Evol..

[3]  M. Loreau,et al.  Testing MacArthur's minimisation principle: do communities minimise energy wastage during succession? , 2018, Ecology letters.

[4]  Martino E. Malerba,et al.  Do larger individuals cope with resource fluctuations better? An artificial selection approach , 2018, Proceedings of the Royal Society B: Biological Sciences.

[5]  Martino E. Malerba,et al.  Cell size, photosynthesis and the package effect: an artificial selection approach. , 2018, The New phytologist.

[6]  C. R. White,et al.  Metabolic scaling across succession: Do individual rates predict community‐level energy use? , 2018, Functional Ecology.

[7]  A. Buckling,et al.  Linking phytoplankton community metabolism to the individual size distribution , 2018, Ecology letters.

[8]  G. Kokkoris,et al.  Interplay between r- and K-strategists leads to phytoplankton underyielding under pulsed resource supply , 2018, Oecologia.

[9]  Martino E. Malerba,et al.  Phytoplankton size-scaling of net-energy flux across light and biomass gradients. , 2017, Ecology.

[10]  M. Loreau,et al.  Phytoplankton functional diversity increases ecosystem productivity and stability , 2017 .

[11]  Elena Litchman,et al.  Phytoplankton growth and the interaction of light and temperature: A synthesis at the species and community level , 2016 .

[12]  Russell V. Lenth,et al.  Least-Squares Means: The R Package lsmeans , 2016 .

[13]  B. Russell,et al.  Trophic compensation reinforces resistance: herbivory absorbs the increasing effects of multiple disturbances. , 2015, Ecology letters.

[14]  E. Marañón Cell size as a key determinant of phytoplankton metabolism and community structure. , 2015, Annual review of marine science.

[15]  Ursula Gaedke,et al.  Benchmarking Successional Progress in a Quantitative Food Web , 2014, PloS one.

[16]  J. Sherratt,et al.  How do variations in seasonality affect population cycles? , 2013, Proceedings of the Royal Society B: Biological Sciences.

[17]  Emilio Marañón,et al.  Unimodal size scaling of phytoplankton growth and the size dependence of nutrient uptake and use. , 2013, Ecology letters.

[18]  A. P. Allen,et al.  Linking community size structure and ecosystem functioning using metabolic theory , 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.

[19]  K. Griffin,et al.  Out of the light and into the dark: post-illumination respiratory metabolism. , 2012, The New phytologist.

[20]  A. Cardona,et al.  Fiji: an open-source platform for biological-image analysis , 2012, Nature Methods.

[21]  G. Daily,et al.  Biodiversity loss and its impact on humanity , 2012, Nature.

[22]  M. Kearney,et al.  A Manipulative Test of Competing Theories for Metabolic Scaling , 2011, The American Naturalist.

[23]  Andrew Gonzalez,et al.  The functional role of producer diversity in ecosystems. , 2011, American journal of botany.

[24]  L. Laurens,et al.  Microalgae as biodiesel & biomass feedstocks: Review & analysis of the biochemistry, energetics & economics , 2010 .

[25]  M. Loreau,et al.  The Causes and Consequences of Compensatory Dynamics in Ecological Communities , 2009 .

[26]  U. Sommer,et al.  Global warming benefits the small in aquatic ecosystems , 2009, Proceedings of the National Academy of Sciences.

[27]  S. Pickett,et al.  Ever since Clements: from succession to vegetation dynamics and understanding to intervention* , 2009 .

[28]  J. Delong The maximum power principle predicts the outcomes of two-species competition experiments , 2008 .

[29]  Núria Marbà,et al.  Allometric scaling of plant life history , 2007, Proceedings of the National Academy of Sciences.

[30]  Clay L. Montague,et al.  The maximum power principle: An empirical investigation , 2006 .

[31]  P. Adler,et al.  A meta‐analysis of biotic resistance to exotic plant invasions , 2004 .

[32]  James H. Brown,et al.  Toward a metabolic theory of ecology , 2004 .

[33]  B. Brahamsha,et al.  Photophysiology of the marine cyanobacterium Synechococcus sp. WH8102, a new model organism , 2004 .

[34]  D. Srivastava,et al.  Numerical and per capita responses to species loss: mechanisms maintaining ecosystem function in a community of stream insect detritivores , 2001 .

[35]  P. Chesson Mechanisms of Maintenance of Species Diversity , 2000 .

[36]  Susanne Menden-Deuer,et al.  Carbon to volume relationships for dinoflagellates, diatoms, and other protist plankton , 2000 .

[37]  Helmut Hillebrand,et al.  BIOVOLUME CALCULATION FOR PELAGIC AND BENTHIC MICROALGAE , 1999 .

[38]  J. Randerson,et al.  Primary production of the biosphere: integrating terrestrial and oceanic components , 1998, Science.

[39]  F. Chapin,et al.  Biotic Control over the Functioning of Ecosystems , 1997 .

[40]  Michael E. Sieracki,et al.  Relationships between cell volume and the carbon and nitrogen content of marine photosynthetic nanoplankton , 1992 .

[41]  K. Banse Rates of phytoplankton cell division in the field and in iron enrichment experiments , 1991 .

[42]  Peter Chesson,et al.  Geometry, heterogeneity and competition in variable environments , 1990 .

[43]  M. Gatto A general minimum principle for competing populations: some ecological and evolutionary consequences , 1990 .

[44]  Eugene P. Odum,et al.  Trends Expected in Stressed Ecosystems , 1985 .

[45]  J. Brew Niche shift and the minimisation of competition , 1982 .

[46]  K. Porter,et al.  The use of DAPI for identifying and counting aquatic microflora1 , 1980 .

[47]  S. McNaughton Diversity and Stability of Ecological Communities: A Comment on the Role of Empiricism in Ecology , 1977, The American Naturalist.

[48]  B. Irwin,et al.  Caloric content of phytoplankton , 1973 .

[49]  R. Macarthur Species packing and competitive equilibrium for many species. , 1970, Theoretical population biology.

[50]  R. M. Arthur,et al.  Species packing, and what competition minimizes. , 1969, Proceedings of the National Academy of Sciences of the United States of America.

[51]  E. Odum The strategy of ecosystem development. , 1969, Science.

[52]  R. Margalef,et al.  On Certain Unifying Principles in Ecology , 1963, The American Naturalist.

[53]  Raymond L. Lindeman The trophic-dynamic aspect of ecology , 1942 .

[54]  A. J. Lotka Contribution to the Energetics of Evolution. , 1922, Proceedings of the National Academy of Sciences of the United States of America.

[55]  H. Odum,et al.  TIME'S SPEED REGULATOR: THE OPTIMUM EFFICIENCY FOR MAXIMUM POWER OUTPUT IN PHYSICAL AND BIOLOGICAL SYSTEMS , 2011 .

[56]  T J Stohlgren,et al.  The invasion paradox: reconciling pattern and process in species invasions. , 2007, Ecology.

[57]  J. Álvarez-Borrego,et al.  Relationship between DAPI-fluorescence fading and nuclear DNA content: An alternative method to DNA quantification? , 2007, Biological research.

[58]  J. Hughes,et al.  From populations to ecosystems , 1999 .

[59]  J. Beardall,et al.  Studies on enhanced post-illumination respiration in microalgae , 1994 .

[60]  R. Guillard,et al.  Culture of Phytoplankton for Feeding Marine Invertebrates , 1975 .