Analysis of neighborhood dynamics of forest ecosystems using likelihood methods and modeling.
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[1] S. Pacala,et al. SEEDLING RECRUITMENT IN FORESTS: CALIBRATING MODELS TO PREDICT PATTERNS OF TREE SEEDLING DISPERSION' , 1994 .
[2] Aaron M. Ellison,et al. AN INTRODUCTION TO BAYESIAN INFERENCE FOR ECOLOGICAL RESEARCH AND ENVIRONMENTAL , 1996 .
[3] C. Augspurger,et al. Seed and Seedling Ecology of a Monocarpic Tropical Tree, Tachigalia Versicolor , 1989 .
[4] Richard Condit,et al. Tropical Forest Census Plots: Methods and Results from Barro Colorado Island, Panama and a Comparison with Other Plots , 1998 .
[5] Michael C. Dietze,et al. COEXISTENCE: HOW TO IDENTIFY TROPHIC TRADE-OFFS , 2003 .
[6] D. Stoyan,et al. Estimating the fruit dispersion of anemochorous forest trees , 2001 .
[7] R. Freckleton,et al. The Ecological Detective: Confronting Models with Data , 1999 .
[8] Ulf Dieckmann,et al. A DYNAMICAL SYSTEM FOR NEIGHBORHOODS INPLANT COMMUNITIES , 2000 .
[9] David R. Anderson,et al. Model selection and multimodel inference : a practical information-theoretic approach , 2003 .
[10] Jennifer A Hoeting,et al. Model selection for geostatistical models. , 2006, Ecological applications : a publication of the Ecological Society of America.
[11] Wolf M. Mooij,et al. Individual-based modelling as an integrative approach in theoretical and applied population dynamics and food web studies , 1999 .
[12] Charles D. Canham,et al. CANOPY TREE–SOIL INTERACTIONS WITHIN TEMPERATE FORESTS: SPECIES EFFECTS ON pH AND CATIONS , 1998 .
[13] Shanshan Wu,et al. Building statistical models to analyze species distributions. , 2006, Ecological applications : a publication of the Ecological Society of America.
[14] Charles D. Canham,et al. Causes and consequences of resource heterogeneity in forests : interspecific variation in light transmission by canopy trees , 1994 .
[15] Charles D. Canham,et al. Non-additive effects of litter mixtures on net N mineralization in a southern New England forest , 1998 .
[16] John A. Silander,et al. Juvenile Tree Survivorship as a Component of Shade Tolerance , 1995 .
[17] T. C. Chamberlin. The Method of Multiple Working Hypotheses: With this method the dangers of parental affection for a favorite theory can be circumvented. , 1965, Science.
[18] A. Robinson,et al. Bias in the mean tree model as a consequence of Jensen’s inequality , 2003 .
[19] Lieven Nachtergale,et al. A model of wind-influenced leaf litterfall in a mixed hardwood forest , 2003 .
[20] Graham K. Rand,et al. Quantitative Applications in the Social Sciences , 1983 .
[21] A. Watt,et al. Pattern and process in the plant community , 1947 .
[22] Janneke HilleRisLambers,et al. Seed Dispersal Near and Far: Patterns Across Temperate and Tropical Forests , 1999 .
[23] J. Knops,et al. Patterns of Annual Seed Production by Northern Hemisphere Trees: A Global Perspective , 2000, The American Naturalist.
[24] C. Canham,et al. A neighborhood analysis of canopy tree competition : effects of shading versus crowding , 2004 .
[25] William L. Goffe,et al. SIMANN: FORTRAN module to perform Global Optimization of Statistical Functions with Simulated Annealing , 1992 .
[26] A. Edwards. Likelihood (Expanded Edition) , 1972 .
[27] S. Pacala,et al. Forest models defined by field measurements : Estimation, error analysis and dynamics , 1996 .
[28] James S. Clark,et al. UNCERTAINTY AND VARIABILITY IN DEMOGRAPHY AND POPULATION GROWTH: A HIERARCHICAL APPROACH , 2003 .
[29] J. Lawton,et al. Linking Species and Ecosystems , 1996 .
[30] Brendan A. Wintle,et al. The Use of Bayesian Model Averaging to Better Represent Uncertainty in Ecological Models , 2003 .
[31] F. Stuart Chapin,et al. Functional Matrix: A Conceptual Framework for Predicting Multiple Plant Effects on Ecosystem Processes , 2003 .
[32] Charles D. Canham,et al. CANOPY TREE–SOIL INTERACTIONS WITHIN TEMPERATE FORESTS: SPECIES EFFECTS ON SOIL CARBON AND NITROGEN , 1998 .
[33] Ran Nathan,et al. Spatial patterns of seed dispersal, their determinants and consequences for recruitment. , 2000, Trends in ecology & evolution.
[34] D. Binkley,et al. Nutritional interactions in mixed species forests: a synthesis , 2001 .
[35] D. DeAngelis,et al. Error Propagation in Spatially Explicit Population Models: a Reassessment , 1999 .
[36] Jensen's inequality and optimal life history strategies in stochastic environments. , 2000, Trends in ecology & evolution.
[37] Christian P. Giardina,et al. Why do Tree Species Affect Soils? The Warp and Woof of Tree-soil Interactions , 1998 .
[38] Richard Law,et al. Spatio‐temporal development of forests – current trends in field methods and models , 2004 .
[39] James S. Clark,et al. STAGES AND SPATIAL SCALES OF RECRUITMENT LIMITATION IN SOUTHERN APPALACHIAN FORESTS , 1998 .
[40] Scott R. Eliason. Maximum likelihood estimation: Logic and practice. , 1994 .
[41] Charles D. Canham,et al. Interspecific variation in susceptibility to windthrow as a function of tree size and storm severity for northern temperate tree species , 2001 .
[42] S. Hubbell,et al. Spatial and temporal variation of biomass in a tropical forest: results from a large census plot in Panama , 2003 .
[43] S. P. Neuman,et al. Maximum likelihood Bayesian averaging of uncertain model predictions , 2003 .
[44] Thomas M. Smith,et al. Spatial applications of gap models , 1991 .
[45] R. Birdsey,et al. National-Scale Biomass Estimators for United States Tree Species , 2003, Forest Science.
[46] S. Beissinger,et al. WATER LEVELS AFFECT NEST SUCCESS OF THE SNAIL KITE IN FLORIDA: AIC AND THE OMISSION OF RELEVANT CANDIDATE MODELS , 2002 .
[47] D. Greene,et al. An evaluation of alternative dispersal functions for trees , 2004 .
[48] B. Danielson,et al. Spatially Explicit Population Models: Current Forms and Future Uses , 1995 .
[49] N Thompson Hobbs,et al. Alternatives to statistical hypothesis testing in ecology: a guide to self teaching. , 2006, Ecological applications : a publication of the Ecological Society of America.
[50] D. Greene,et al. Estimating the Mean Annual Seed Production of Trees , 1994 .
[51] S. Hubbell,et al. A spatially explicit model of sapling growth in a tropical forest: does the identity of neighbours matter? , 2004 .
[52] W. Post,et al. Linkages — an individual-based forest ecosystem model , 1996 .
[53] S. Sugita,et al. A spatially explicit model of leaf litter fall in hemlock-hardwood forests , 1996 .
[54] Charles D. Canham,et al. Seed abundance versus substrate limitation of seedling recruitment in northern temperate forests of British Columbia , 2000 .
[55] 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.
[56] David A. Wardle,et al. Can comparative approaches based on plant ecophysiological traits predict the nature of biotic interactions and individual plant species effects in ecosystems? , 1998 .
[57] O P Judson,et al. The rise of the individual-based model in ecology. , 1994, Trends in ecology & evolution.
[58] S. Pacala,et al. Linking Tree Population Dynamics and Forest Ecosystem Processes , 1995 .
[59] Ulf Dieckmann,et al. The Geometry of Ecological Interactions: Simplifying Spatial Complexity , 2000 .
[60] Jerald B. Johnson,et al. Model selection in ecology and evolution. , 2004, Trends in ecology & evolution.
[61] R. Royall. Statistical Evidence: A Likelihood Paradigm , 1997 .
[62] D. DeAngelis,et al. Individual-Based Models and Approaches in Ecology , 1992 .
[63] Z. Cardon,et al. Decomposition dynamics in mixed‐species leaf litter , 2004 .
[64] T. C. Chamberlin. The Method of Multiple Working Hypotheses , 1931, The Journal of Geology.
[65] Michel Loreau,et al. Biodiversity and ecosystem functioning: recent theoretical advances , 2000 .
[66] R. Paine,et al. Disturbance, patch formation, and community structure. , 1974, Proceedings of the National Academy of Sciences of the United States of America.