FECUNDITY OF TREES AND THE COLONIZATION–COMPETITION HYPOTHESIS

Colonization-competition trade-offs represent a stabilizing mechanism that is thought to maintain diversity of forest trees. If so, then early-successional species should benefit from high capacity to colonize new sites, and late-successional species should be good competitors. Tests of this hypothesis in forests have been precluded by an inability to estimate the many factors that contribute to seed production and dispersal, particularly the many types of stochasticity that contribute to fecundity data. We develop a hierarchical Bayes modeling structure, and we use it to estimate fecundity schedules from the two types of data that ecologists typically collect, including seed-trap counts and observations of tree status. The posterior density is obtained using Markov-chain Monte Carlo techniques. The flexiblestructure yields estimatesofsizeandcovariateeffectsonseedproduction,variability associated with population heterogeneity, and interannual stochasticity (variability and se- rial autocorrelation), sex ratio, and dispersal. It admits the errors in data associated with the ability to accurately recognize tree status and process misspecification. We estimate year-by-year seed-production rates for all individuals in each of nine sample stands from two regions and up to 11 years. A rich characterization of differences among species and relationships among individuals allows evaluation of a number of hypotheses related to masting, effective population sizes, and location and covariate effects. It demonstrates large bias in previous methods. We focus on implications for colonization-competition and a related hypothesis, the successional niche—trade-offs in the capacity to exploit high re- source availability in early successional environments vs. the capacity to survive low- resource conditions late in succession. Contrary to predictions of trade-off hypotheses, we find no relationship between suc- cessional status and fecundity, dispersal, or expected arrivals at distant sites. Resultssuggest a mechanism for maintenance of diversity that may be more general than colonization- competition and successional niches. High variability and strong individual effects (vari- ability within populations) generate massive stochasticity in recruitment that, when com- bined with ''storage,'' may provide a stabilizing mechanism. The storage effect stabilizes diversity when species differences ensure that responses to stochasticity are not highly correlated among species. Process variability and individual effects mean that many species have the advantage at different times and places even in the absence of ''deterministic'' trade-offs. Not only does colonization vary among species, but also individual behavior is highly stochastic and weakly correlated among members of the same population. Although these factors are the dominant sources of variability in data sets (substantially larger than the deterministic relationships typically examined), they have not been not included in the models that ecologists have used to evaluate mechanisms of species coexistence (e.g., even individual-based models lack random individual effects). Recognition of the mechanisms of coexistence requires not only heuristic models that capture the principal sources of stochasticity, but also data-modeling techniques that allow for their estimation.

[1]  S. Thomas Reproductive allometry in Malaysian rain forest trees: Biomechanics versus optimal allocation , 1996, Evolutionary Ecology.

[2]  R. Lande,et al.  Demographic models of the northern spotted owl (Strix occidentalis caurina) , 1988, Oecologia.

[3]  Chris Snyder,et al.  Toward a nonlinear ensemble filter for high‐dimensional systems , 2003 .

[4]  S. Hubbell,et al.  GAP‐DEPENDENT RECRUITMENT, REALIZED VITAL RATES, AND SIZE DISTRIBUTIONS OF TROPICAL TREES , 2003 .

[5]  B. Beckage,et al.  SEEDLING SURVIVAL AND GROWTH OF THREE FOREST TREE SPECIES: THE ROLE OF SPATIAL HETEROGENEITY , 2003 .

[6]  James S. Clark,et al.  Stability of forest biodiversity , 2003, Nature.

[7]  James S. Clark,et al.  UNCERTAINTY AND VARIABILITY IN DEMOGRAPHY AND POPULATION GROWTH: A HIERARCHICAL APPROACH , 2003 .

[8]  Michael C. Dietze,et al.  COEXISTENCE: HOW TO IDENTIFY TROPHIC TRADE-OFFS , 2003 .

[9]  Dave Kelly,et al.  MAST SEEDING IN PERENNIAL PLANTS: Why, How, Where? , 2002 .

[10]  M. Rees,et al.  Coexistence and Relative Abundance in Annual Plant Assemblages: The Roles of Competition and Colonization , 2002, The American Naturalist.

[11]  Bradley P. Carlin,et al.  Bayesian measures of model complexity and fit , 2002 .

[12]  S. Pacala,et al.  POPULATION REGULATION: HISTORICAL CONTEXT AND CONTEMPORARY CHALLENGES OF OPEN VS. CLOSED SYSTEMS , 2002 .

[13]  B. Parresol,et al.  Dynamics of acorn production by five species of Southern Appalachian oaks , 2002 .

[14]  S Pacala,et al.  Long-Term Studies of Vegetation Dynamics , 2001, Science.

[15]  S. LaDeau,et al.  Rising CO2 Levels and the Fecundity of Forest Trees , 2001, Science.

[16]  B. E. Eckbo,et al.  Appendix , 1826, Epilepsy Research.

[17]  Frederick R. Adler,et al.  IS SPACE NECESSARY? INTERFERENCE COMPETITION AND LIMITS TO BIODIVERSITY , 2000 .

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

[19]  J. Knops,et al.  Patterns of Annual Seed Production by Northern Hemisphere Trees: A Global Perspective , 2000, The American Naturalist.

[20]  Janneke HilleRisLambers,et al.  Seed Dispersal Near and Far: Patterns Across Temperate and Tropical Forests , 1999 .

[21]  B. Bolker,et al.  Spatial Moment Equations for Plant Competition: Understanding Spatial Strategies and the Advantages of Short Dispersal , 1999, The American Naturalist.

[22]  J. Clark,et al.  Interpreting recruitment limitation in forests. , 1999, American journal of botany.

[23]  S. Pacala,et al.  Models Suggesting Field Experiments to Test Two Hypotheses Explaining Successional Diversity , 1998, The American Naturalist.

[24]  P. Jordano,et al.  Annual Variability in Seed Production by Woody Plants and the Masting Concept: Reassessment of Principles and Relationship to Pollination and Seed Dispersal , 1998, The American Naturalist.

[25]  H. B. Wilson,et al.  Running from Trouble: Long‐Distance Dispersal and the Competitive Coexistence of Inferior Species , 1998, The American Naturalist.

[26]  James S. Clark,et al.  STAGES AND SPATIAL SCALES OF RECRUITMENT LIMITATION IN SOUTHERN APPALACHIAN FORESTS , 1998 .

[27]  Bradley P. Carlin,et al.  BAYES AND EMPIRICAL BAYES METHODS FOR DATA ANALYSIS , 1996, Stat. Comput..

[28]  S. Pacala,et al.  Forest models defined by field measurements : Estimation, error analysis and dynamics , 1996 .

[29]  David B. Dunson,et al.  Bayesian Data Analysis , 2010 .

[30]  D. Kelly,et al.  The evolutionary ecology of mast seeding. , 1994, Trends in ecology & evolution.

[31]  A. Gelfand,et al.  Bayesian Model Choice: Asymptotics and Exact Calculations , 1994 .

[32]  S. Pacala,et al.  SEEDLING RECRUITMENT IN FORESTS: CALIBRATING MODELS TO PREDICT PATTERNS OF TREE SEEDLING DISPERSION' , 1994 .

[33]  D. Tilman Competition and Biodiversity in Spatially Structured Habitats , 1994 .

[34]  W. Koenig,et al.  Acorn Production by Oaks in Central Coastal California: Variation within and among Years , 1994 .

[35]  J. Lindsey Models for Repeated Measurements , 1993 .

[36]  K. Hunt,et al.  Estimators of Fruit Abundance of Tropical Trees1 , 1992 .

[37]  D. Rubin,et al.  Inference from Iterative Simulation Using Multiple Sequences , 1992 .

[38]  A. Gelfand,et al.  Hierarchical Bayes Models for the Progression of HIV Infection Using Longitudinal CD4 T-Cell Numbers , 1992 .

[39]  H. Caswell,et al.  Disturbance, interspecific interaction and diversity in metapopulations , 1991 .

[40]  Adrian F. M. Smith,et al.  Sampling-Based Approaches to Calculating Marginal Densities , 1990 .

[41]  Thomas M. Smith,et al.  Plant Succession: Life History and Competition , 1987, The American Naturalist.

[42]  I. Noble,et al.  Dispersal, Variability, and Transient Niches: Species Coexistence in a Uniformly Variable Environment , 1985, The American Naturalist.

[43]  Peter Chesson,et al.  Coexistence Mediated by Recruitment Fluctuations: A Field Guide to the Storage Effect , 1985, The American Naturalist.

[44]  John Pastor,et al.  Aboveground Production and N and P Cycling Along a Nitrogen Mineralization Gradient on Blackhawk Island, Wisconsin , 1984 .

[45]  Norman L. Christensen,et al.  CONVERGENCE DURING SECONDARY FOREST SUCCESSION , 1984 .

[46]  J. Ware,et al.  Random-effects models for longitudinal data. , 1982, Biometrics.

[47]  A. Hastings Disturbance, coexistence, history, and competition for space , 1980 .

[48]  J. Harper Population Biology of Plants , 1979 .

[49]  J. Connell,et al.  Mechanisms of Succession in Natural Communities and Their Role in Community Stability and Organization , 1977, The American Naturalist.

[50]  Robert A. Armstrong,et al.  Fugitive Species: Experiments with Fungi and Some Theoretical Considerations , 1976 .

[51]  H. G. Abbott Some characteristics of fruitfulness and seed germination in Red Maple. , 1974 .

[52]  R. Macarthur,et al.  Competition among Fugitive Species in a Harlequin Environment , 1972 .

[53]  W. K. Hastings,et al.  Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .

[54]  A. A. Downs,et al.  Seed Production of Southern Appalachian Oaks , 1944 .

[55]  Henry J. Oosting,et al.  An Ecological Analysis of the Plant Communities of Piedmont, North Carolina , 1942 .

[56]  W. Allee Ecological Monographs , 1930, Science.