SOME TOPICS, THOUGHTS, AND SUGGESTED PARTICIPANTS FOR A WORKSHOP ON GLOBAL ECOLOGY Overall Theme What would be the attributes of a minimal mathematical model for the global ecosystem? What mathematical properties would follow from these attributes? What are the biological analogues/implications? Possible Topics and Some Thoughts 1. What are the biological and geological structures of input-output and source-sink relationships of global element cycles and how do the mathematical properties of models depend on resolution of these source-sink relationships and input-output budgets? The Biological Problem: The development of global models has proceeded by first developing detailed models of one of three compartments (oceans, atmosphere, terrestrial biosphere). In the first phase of development, transfers between these compartments were treated as inputs and outputs, values for which were specified from measurement data with great uncertainty. More recently, models that couple two or more of these compartments have been developed in great spatial detail (especially coupled atmosphere-ocean models), leaving transfer with the biosphere to be put in “by hand” with great uncertainty. Thus, coupling of compartments begins to effectively close material cycles as transfers that were previously treated as inputs-outputs are now subsumed in feedback loops, some of which may be non-linear, leaving fewer inputs and outputs to be freely specified. Eventually, a complete global model will be open to fewer pathways of material inputs and outputs and most of the mass balance will be subsumed in a set of linear and nonlinear feedbacks. Furthermore, what constitutes an input and output depends to some extent on the time scales of interest. For example at the ecological time scale, the ocean sediments are a sink and the final “output” of carbon, but at geological time scales, volcanic activity, tectonic uplift, and carbonate weathering put this sink back into the atmosphere. Thus ecologically the global carbon cycle is open (with an ocean sediment sink) but geologically it is closed. These different time scales pose interesting questions on what measurements are important to answer the question of what ultimately controls the global carbon cycle. Mathematical Problems: What happens when we close a dynamical system by coupling open systems and still maintain the constraint of conservation of matter? This does not appear to be as simple as taking limits as I, O → 0. Some work suggests that for some model ecosystems the constraints on stability of interior equilibria switch signs when the cycle is closed (Williams 1972, Pastor and Cohen 1997, Loreau and Holt 2004). Is this a general result? If so, then an open ecological model of the globe (with an ocean sink) will necessarily behave mathematically very differently from a geologically closed model. Recent work by Loreau and Holt (2004) raises interesting mathematical questions about how input-output ratios constrain stabilities of sourcesink relationships in model ecosystems. How might these apply to global models? 2. What accounts for the seeming constancy of ratios of elemental fluxes between compartments of the global ecosystem? The Biological Problem: In 1958, Alfred Redfield reported a remarkable constancy of elemental ratios of organic debris from marine organisms settling on the ocean floor of 80C: 15N: 1P. But upwelling waters contain these elements in the ratios 800C: 15N: 1P. Redfield suggested that phytoplankton control seawater stoichiometry partly by importing nitrogen from the atmosphere via N fixation. Broecker (1974) suggested the excess C can be accounted for by downward settling of CaCO3. His recalculated “Redfield ratios” for sinking particles are 120C: 15N: 1P: 40Ca, but the ratios for upwelling waters are 800C: 15N: 1P: 3200Ca. Clearly, constancy of the Redfield ratios requires that transfers take place between the ocean and other compartments of the global ecosystem. Similar, albeit not as constant, ratios have been suggested for terrestrial biota as well (eg., one set of ratios for woody plants, another set for grasses, etc). Why are these ratios so constant? What does these different ratios imply for stability and recovery of global element cycles after perturbation? Mathematical Problems: Here we must couple a dynamical system of one element (eg. carbon, often assumed to be a surrogate for energy) with dynamical systems of other elements (eg., N and P). How might such ratios of fluxes arise in coupled dynamical systems? Alternatively, what happens to the properties of a dynamical system when one imposes stoichiometric constraints? Recent modeling studies (Tyrrell 1999, Lenton and Watson 2001, Klausmeier et al. 2004) shed some light on these questions. Are constancies of ratios a consequence of certain stable equilibria or are there multiple optimal ratios corresponding to multiple stable equilibria or to different transient phases (Klausmeier et al 2004)? How do changes in these ratios alter the stabilities and trajectories of ecosystems? How do the ratios relate to the openness of the system? How are they related to the structure of food webs? Some early work by May (1973) following on prior work by Ulanowicz (1972) indicates that the stability of trophic systems with recycling requires that energy content per unit biomass must increase as one climbs the trophic ladder. Does this result also apply to element ratios? 3. How rapidly and in what manner can the global ecosystem change in response to changes in control parameters? The Biological Problem: Changes in global control parameters (temperature, precipitation, and their spatial distributions) could cause rapid shifts in the stability and distribution of ecosystems. Examples include vegetation-precipitation feedbacks, vegetation-nutrient feedbacks, and water chemistry-density-temperature feedbacks in the oceanic thermohaline circulation system. Thus, slow changes in a control parameter (e.g., temperature, which is a result of the open energy flux) could result in rapid changes in material fluxes and their distributions at the global scale. Mathematical Problems: Feedbacks between sub-ecosystems of the globe can cause shifts between multiple or alternative stable states. Such rapid changes in ecosystem behavior and distributions with changes in control parameters appear suspiciously like bifurcations in dynamical systems (Strogatz 1994). Bifurcation theory is not well-known in the biological sciences, but could account not only for different equilibria but also their domains of stability with regard to material fluxes (Hilbert et al. 2000, Loladze et al. 2000, Pastor et al. 2002). Some recent work suggests that bifurcations demarcate different ecosystems with different carbon and nutrient balances in model ecosystems (Hilbert et al. 2000, Pastor et al. 2002). Can we use bifurcation theory to describe different stable states of global element cycles? Can bifurcation theory help predict rapid changes in ecosystem and global carbon cycles as the temperature warms gradually? How do the bifurcations relate to the underlying symmetries imposed by mass balance? How do they relate to the (topological?) arrangement of positive and negative feedbacks in the dynamical system? Do they relate to differences in time constants (turnover rates) of compartments and rate constants of processes? How do stoichiometric ratios affect the nature of the bifurcations (see especially Loladze et al. 2000)? References Broecker, W.S. 1974. Chemical Oceanography. Harcourt Brace Jovanovich, NY. Hilbert, D.W., N. Roulet, and T, Moore. 2000. Modeling and analysis of peatlands as dynamic systems. J. Ecol. 88: 230-242. Klausmeier, C.A., E. Lichtrman, T. Daufresne, and S.A. Levin. 2004. Optimal nitrogen-tophosphorus stoichiometry of phytoplankton. Nature 429: 171-174. Lenton, T.M. and A.J. Watson. 2001. Redfield revisited 1. Regulation of nitrate, phosphate, and oxygen in the ocean. Global Biogeochemical Cycles 14: 225-248. Loladze, I., Y. Kuang, and J.E. Elser. 2000. Stoichiometry in producer-grazer systems: linking energy flow with element cycling. Bulletin of Mathematical Biology 62: 1137-1162. Loreau, M. and R. Holt. 2004. Spatial flows and the regulation of ecosystems. American Naturalist 163: 606-615. May, R.M. 1973. Mass and energy flow in closed ecosystems: a comment. J. Theoretical Biology 39: 155-163. Pastor, J. and Y. Cohen. 1997. Herbivores, the functional diversity of plants species, and the cycling of nutrients in ecosystems. Theoretical Population Biology 51: 165 -179. Pastor, J., B. Peckham, S.D. Bridgham, J.F. Weltzin, and J. Chen. 2002. Plant community composition, nutrient cycling, and alternative stable equilibria in peatlands. American Naturalist 160: 553-568. Redfield, A.C. 1958. The biological control of chemical factors in the environment. American Scientist 46: 205-221. Strogatz, S.H. 1994. Nonlinear Dynamics and Chaos. Perseus Books, Reading, Mass. Tyrrell, T. 1999. The relative influences of nitrogen and phosphorus on oceanic primary production. Nature 400: 525-531. Ulanowicz, R.E. 1972. Mass and energy flow in closed systems. J. Theoretical Biology 34: 239253. Williams, F.M. 1972. The mathematics of microbial populations, with emphasis on open systems. Pp. 395-427 in E.S. Deevey, ed. Growth By Intussusception: Essays in Honor of G. Evelym Hutchinson. Transactions of the Connecticut Academy of Sciences. Possible Structures for the Workshop Each day devoted to one (or possibly two) major topics If two, one in the morning and one in the afternoon Begin each session with a tutorial lecture in either mathematical approaches or biological problem (perhaps 2 tutorial lectures) followed by 2-3 “case studies” exploring an aspect of the problem in detail. One or two commentators present thoughts at the end of each session. Leave plenty of time for discussion – finish formal talks by 4PM? Long lunches? Tutorial sessions on computers in models/programs/software? One afternoon devoted to this? An evening plenary talk? Social functions in evening? Summary paper for AMS Notices? Other outlet? Co-organizers: John Harte The Department of Environmental Science, Policy and Management 305 Hilgard Hall University of California Berkeley, CA 94720 jharte@socrates.berkeley.edu David Schimel Climate and Global Dynamics Division The National Center for Atmospheric Research 1850 Table Mesa Dr. Boulder, CO 80307 schimel@ucar.edu Possible invitees: Göran Ågren Swedish University of Agricultural Sciences Box 7072, SE-750 07 Uppsala Sweden Goran.Agren@eom.slu.se Ernesto Bosatta Swedish University of Agricultural Sciences Box 7072, SE-750 07 Uppsala Sweden Ernesto.Bosatta@eom.slu.se Frank Berendse Wageningen Universiteit en Research Centrum (DLO) Departement Omgevingswetenschappen Nature Conservation and Plant Ecology Group Bornsesteeg 69 NL-6708 PD Wageningen Arnhem/Nijmegen The Netherlands Frank.Berendse@STAF.TON.WAU.NL Stephen Carpenter Center for Limnology University of Wisconsin 680 North Park St. Madison WI 53706 srcarpen@wisc.edu Carlos Castillo-Chavez Arizona State University Dept. of Mathematics and Statistics PO Box 871804 Tempe, AZ 85287-1804 chavez@math.asu.edu Yosef Cohen Dept. of Fisheries and Wildlife Conservation University of Minnesota St. Paul MN 55108 Cohen006@tc.umn.edu Roddy Dewar INRA Unité de Bioclimatologie Bordeaux, France dewar@bordeaux.inra.fr William Fagan Dept. of Biology University of Maryland College Park, MD 20742 bfagan@glue.md.edu Chris Field Carnegie Institution of Washington Department of Global Ecology 260 Panama Street Stanford, CA 94305 cfield@globalecology.stanford.edu George Hornberger Dept. of Statistics University of Virginia Halsey Hall, P O Box 400135 Charlottesville, VA 22904-4135 bc5g@virginia.edu Darrel Jenerette Dept. of Plant Biology Arizona State University Tempe AZ 85287 jenerette@asu.edu Christopher Klausmeier School of Biology Georgia Institute of Technology 310 Ferst Drive Atlanta, GA 30332-0230 christoper.klausmeier@biology.gatech.edu Yang Kuang Dept. of Mathematics Arizona State University Tempe AZ 85287-1804 kuang@asu.edu Simon A. Levin Dept. of Ecology and Evolutionary Biology Princeton University Princeton, NJ 08544 levin@princeton.edu Irakli Loladze Dept. of Mathematics Arizona State University Tempe AZ 85287-1804 loladze@asu.edu Michel Loreau Laboratoire d'Ecologie UMR 7625 Ecole Normale Superieure 46, rue d'Ulm F-75230 Paris Cedex 05, France Loreau@ens.fr Donald Ludwig Mathematics Department Ecology Hut B8 Room 120H UBC, Vancouver, BC V6T 1Z2 ludwig@math.ubc.ca Ross McMurtrie Room 406A Biological Science Building University of New South Wales Sydney, Australia r.mcmurtrie@unsw.edu.au Steve Pacala Department of Ecology and Evolutionary Biology Princeton University Princeton, NJ 08544-1003 pacala@princeton.edu Bruce Peckham Dept. of Mathematics and Statistics University of Minnesota Duluth Duluth MN 55812 bpeckham@d.umn.edu W.M. Post Oak Ridge National Laboratory Environmental Sciences Division PO Box 2008, Bldg 1509 Oak Ridge TN 37831 wmp@ornl.gov Ed Rastetter The Ecosystems Center Marine Biological Laboratory Woods Hole, MA 02543 erastett@mbl.edu Marten Scheffer Dept. of Aquatic Ecology and Water Quality Management Wageningen University PO Box 8080 6700 DD Wageningen The Netherlands Marten.Scheffer@wur.nl Harlan Stech Dept. of Mathematics and Statistics University of Minnesota Duluth Duluth MN 55812 hstech@d.umn.edu Robert Sterner Dept. of Ecology, Evolution and Behavior University of Minnesota St. Paul MN 55108 stern007@tc.umn.edu Jianguo Wu Dept. of Plant Biology Arizona State University Tempe AZ 85287 jingle@asu.edu