Neighborhood analyses of canopy tree competition along environmental gradients in New England forests.

We use permanent-plot data from the USDA Forest Service's Forest Inventory and Analysis (FIA) program for an analysis of the effects of competition on tree growth along environmental gradients for the 14 most abundant tree species in forests of northern New England, USA. Our analysis estimates actual growth for each individual tree of a given species as a function of average potential diameter growth modified by three sets of scalars that quantify the effects on growth of (1) initial target tree size (dbh), (2) local environmental conditions, and (3) crowding by neighboring trees. Potential growth of seven of the 14 species varied along at least one of the two environmental axes identified by an ordination of relative abundance of species in plots. The relative abundances of a number of species were significantly displaced from sites where they showed maximum potential growth. In all of these cases, abundance was displaced to the more resource-poor end of the environmental gradient (either low fertility or low moisture). The pattern was most pronounced among early successional species, whereas late-successional species reached their greatest abundance on sites where they also showed the highest growth in the absence of competition. The analysis also provides empirical estimates of the strength of intraspecific and interspecific competitive effects of neighbors. For all but one of the species, our results led us to reject the hypothesis that all species of competitors have equivalent effects on a target species. Most of the individual pairwise interactions were strongly asymmetric. There was a clear competitive hierarchy among the four most shade-tolerant species, and a separate competitive hierarchy among the shade-intolerant species. Our results suggest that timber yield following selective logging will vary dramatically depending on the configuration of the residual canopy, because of interspecific variation in the magnitude of both the competitive effects of different species of neighbors and the competitive responses of different species of target trees to neighbors. The matrix of competition coefficients suggests that there may be clear benefits in managing for specific mixtures of species within local neighborhoods within stands.

[1]  M. Uriarte,et al.  Analysis of neighborhood dynamics of forest ecosystems using likelihood methods and modeling. , 2006, Ecological applications : a publication of the Ecological Society of America.

[2]  C. Canham,et al.  A neighborhood analysis of canopy tree competition : effects of shading versus crowding , 2004 .

[3]  S. Hubbell,et al.  A spatially explicit model of sapling growth in a tropical forest: does the identity of neighbours matter? , 2004 .

[4]  J. Zimmerman,et al.  A NEIGHBORHOOD ANALYSIS OF TREE GROWTH AND SURVIVAL IN A HURRICANE‐DRIVEN TROPICAL FOREST , 2004 .

[5]  Lindsay A. Turnbull,et al.  Seed mass and the competition/colonization trade‐off: competitive interactions and spatial patterns in a guild of annual plants , 2004 .

[6]  Jerald B. Johnson,et al.  Model selection in ecology and evolution. , 2004, Trends in ecology & evolution.

[7]  M. Austin,et al.  A new model for the continuum concept , 1989, Vegetatio.

[8]  Christian Messier,et al.  Use of a spatially explicit individual-tree model (SORTIE/BC) to explore the implications of patchiness in structurally complex forests , 2003 .

[9]  David R. Anderson,et al.  Model selection and multimodel inference : a practical information-theoretic approach , 2003 .

[10]  M. Swaine,et al.  Modelling growing space requirements for some tropical forest tree species , 2003 .

[11]  R. Birdsey,et al.  National-Scale Biomass Estimators for United States Tree Species , 2003, Forest Science.

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

[13]  Christian Messier,et al.  Predictions of understorey light conditions in northern hardwood forests following parameterization, sensitivity analysis, and tests of the SORTIE light model , 2002 .

[14]  S. Mitchell,et al.  The retention system:reconciling variable retention with the principles of silvicultural systems , 2002 .

[15]  C. Goodale,et al.  Forest nitrogen sinks in large eastern U.S. watersheds: estimates from forest inventory and an ecosystem model , 2002 .

[16]  C. Canham,et al.  Community organization of tree species along soil gradients in a north‐eastern USA forest , 2002 .

[17]  Guy R. Larocque Examining different concepts for the development of a distance-dependent competition model for red pine diameter growth using long-term stand data differing in initial stand density , 2002 .

[18]  Alain Leduc,et al.  Stand-landscape integration in natural disturbance-based management of the southern boreal forest , 2002 .

[19]  Yude Pan,et al.  BIOMASS AND NPP ESTIMATION FOR THE MID-ATLANTIC REGION (USA) USING PLOT-LEVEL FOREST INVENTORY DATA , 2001 .

[20]  R. Freckleton,et al.  Predicting competition coefficients for plant mixtures: reciprocity, transitivity and correlations with life‐history traits , 2001 .

[21]  Timothy G. Howard,et al.  COMPETITIVE RESPONSE HIERARCHIES FOR GERMINATION, GROWTH, AND SURVIVAL AND THEIR INFLUENCE ON ABUNDANCE , 2001 .

[22]  S W Pacala,et al.  Contributions of land-use history to carbon accumulation in U.S. forests. , 2000, Science.

[23]  C. Canham,et al.  Invasion of an old-growth forest in New York by Ailanthus altissima: sapling growth and recruitment in canopy gaps. , 2000 .

[24]  C. Canham,et al.  Effects of suppression and release on sapling growth for 11 tree species of northern, interior British Columbia , 2000 .

[25]  C. Loehle Forest ecotone response to climate change: sensitivity to temperature response functional forms , 2000 .

[26]  Uta Berger,et al.  A new approach to spatially explicit modelling of forest dynamics: spacing, ageing and neighbourhood competition of mangrove trees , 2000 .

[27]  F. He,et al.  Density‐dependent effects on tree survival in an old‐growth Douglas fir forest , 2000 .

[28]  C. Canham,et al.  Measurement and modeling of spatially explicit variation in light transmission through interior cedar-hemlock forests of British Columbia , 1999 .

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

[30]  Jouni Vettenranta,et al.  Distance-dependent Models for Predicting the Development of Mixed Coniferous Forests in Finland , 1999 .

[31]  R. Wagner,et al.  NEIGHBORHOOD APPROACH FOR QUANTIFYING INTERSPECIFIC COMPETITION IN COASTAL OREGON FORESTS , 1998 .

[32]  M. Abrams The Red Maple Paradox What explains the widespread expansion of red maple in eastern forests , 1998 .

[33]  C. Canham,et al.  Canopy tree-soil interactions within temperate forests: effects of soil elemental composition and texture on species distributions , 1997 .

[34]  R. Hilborn,et al.  The Ecological Detective: Confronting Models with Data , 1997 .

[35]  M. Wimberly,et al.  Distance-dependent and distance-independent models of Douglas-fir and western hemlock basal area growth following silvicultural treatment , 1996 .

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

[37]  R. Kobe,et al.  Intraspecific Variation in Sapling Mortality and Growth Predicts Geographic Variation in Forest Composition , 1996 .

[38]  Gregory S. Biging,et al.  Evaluation of competition indices in individual tree growth models , 1995 .

[39]  John A. Silander,et al.  Juvenile Tree Survivorship as a Component of Shade Tolerance , 1995 .

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

[41]  Charles D. Canham,et al.  Causes and consequences of resource heterogeneity in forests : interspecific variation in light transmission by canopy trees , 1994 .

[42]  D. Houston Major New Tree Disease Epidemics: Beech Bark Disease , 1994 .

[43]  John A. Silander,et al.  Sapling growth as a function of resources in a north temperate forest , 1994 .

[44]  Matthias Dobbertin,et al.  A Comparison of Distance-Dependent Competition Measures for Height and Basal Area Growth of Individual Conifer Trees , 1992, Forest Science.

[45]  William L. Goffe,et al.  SIMANN: FORTRAN module to perform Global Optimization of Statistical Functions with Simulated Annealing , 1992 .

[46]  James B. Grace,et al.  Components of resource competition in plant communities. , 1990 .

[47]  W. A. Patterson,et al.  Variations in beech bark disease and its effects on species composition and structure of northern hardwood stands in central New England , 1984 .

[48]  Craig G. Lorimer,et al.  Tests of age-independent competition indices for individual trees in natural hardwood stands , 1983 .

[49]  M. O. Hill,et al.  DECORANA - A FORTRAN program for detrended correspondence analysis and reciprocal averaging. , 1979 .

[50]  P. Grubb THE MAINTENANCE OF SPECIES‐RICHNESS IN PLANT COMMUNITIES: THE IMPORTANCE OF THE REGENERATION NICHE , 1977 .

[51]  I. Bella,et al.  A New Competition Model for Individual Trees , 1971 .

[52]  R. Whittaker Communities and Ecosystems , 1975 .

[53]  H. Fowells Silvics of forest trees of the United States. , 1965 .

[54]  J. T. Curtis,et al.  The Vegetation of Wisconsin , 1960 .