Heterogeneity influences spatial patterns and demographics in forest stands

Summary 1. The spatial pattern of tree species retains signatures of factors and processes such as dispersal, available resource patches for establishment, competition and demographics. Comparison of the spatial pattern of different size classes can thus help to reveal the importance and characteristics of the underlying processes. However, tree dynamics may be masked by large-scale heterogeneous site conditions, e.g. when the restricting size of regeneration sites superimposes emergent patterns. 2. Here we ask how environmental heterogeneity may influence the spatial dynamics of plant communities. We compared the spatial patterns and demographics of western hemlock in a homogeneous and a heterogeneous site of old-growth Douglas-fir forests on Vancouver Island using recent techniques of point pattern analysis. We used homogeneous and inhomogeneous K - and pair-correlation functions, and case-control studies to quantify the change in spatial distribution for different size classes of western hemlock. 3. Our comparative analyses show that biological processes interacted with spatial heterogeneity, leading to qualitatively different population dynamics at the two sites. Population structure, survival and size structure of western hemlock were different in the heterogeneous stand in such a way that, compared to the homogeneous stand, seedlings were more clustered, seedling densities higher, seedling mortality lower, adult growth faster and adult mortality higher. Under homogeneous site conditions, seedling survival was mainly abiotically determined by random arrival in small gaps with limiting light. At the heterogeneous site, seedling densities and initial survival were much higher, leading to strong density-dependent mortality and selection for faster growing individuals in larger size classes. We hypothesise that the dynamics of the heterogeneous stand were faster due to asymmetric competition with disproportionate benefit to taller plants. 4. Synthesis . Our study supports the hypothesis that successional dynamics are intensified in heterogeneous forest stands with strong spatial structures and outlines the importance of spatial heterogeneity as a determinant of plant population dynamics and pattern formation.

[1]  U. Dieckmann,et al.  The evolutionary ecology of dispersal , 1999 .

[2]  Otso Ovaskainen,et al.  Interactions between dispersal, competition, and landscape heterogeneity , 2007 .

[3]  D. Stoyan,et al.  Fractals, random shapes and point fields : methods of geometrical statistics , 1996 .

[4]  M. Neatrour,et al.  Response of three floodplain tree species to spatial heterogeneity in soil oxygen and nutrients , 2007 .

[5]  Thorsten Wiegand,et al.  Species Associations in a Heterogeneous Sri Lankan Dipterocarp Forest , 2007, The American Naturalist.

[6]  R. Hunt,et al.  Resource dynamics and plant growth: a self‐assembling model for individuals, populations and communities , 1997 .

[7]  P J Diggle,et al.  Second-order analysis of spatial clustering for inhomogeneous populations. , 1991, Biometrics.

[8]  Stephan Getzin,et al.  Asymmetric tree growth at the stand level: Random crown patterns and the response to slope , 2007 .

[9]  A. Baddeley,et al.  Non‐ and semi‐parametric estimation of interaction in inhomogeneous point patterns , 2000 .

[10]  Melinda Moeur,et al.  Spatial models of competition and gap dynamics in old-growth Tsuga heterophylla/Thuja plicata forests , 1997 .

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

[12]  J. R. Lambers,et al.  Effects of dispersal, shrubs, and density-dependent mortality on seed and seedling distributions in temperate forests , 2003 .

[13]  B. Blair,et al.  Effect of soil nutrient heterogeneity on the symmetry of belowground competition , 2001, Plant Ecology.

[14]  Jérôme Chave,et al.  Cluster Analysis of Spatial Patterns in Malaysian Tree Species , 2002, The American Naturalist.

[15]  Judi E Hewitt,et al.  The Effect of Spatial and Temporal Heterogeneity on the Design and Analysis of Empirical Studies of Scale‐Dependent Systems , 2007, The American Naturalist.

[16]  J. Suchorzewska Głos w dyskusji , 2005 .

[17]  D. Stoyan,et al.  Statistical Analysis and Modelling of Spatial Point Patterns , 2008 .

[18]  F. Bazzaz,et al.  Seedling‐Scale Environmental Heterogeneity Influences Individual Fitness and Population Structure , 1984 .

[19]  T. Hovestadt,et al.  Variability in dispersal distances generates typical successional patterns: a simple simulation model , 2000 .

[20]  Mark Rees,et al.  Quantifying the Impact of Competition and Spatial Heterogeneity on the Structure and Dynamics of a Four-Species Guild of Winter Annuals , 1996, The American Naturalist.

[21]  P. Amarasekare Competitive coexistence in spatially structured environments: a synthesis , 2003 .

[22]  Brian D. Ripley,et al.  Spatial Statistics: Ripley/Spatial Statistics , 2005 .

[23]  S. Hubbell,et al.  Spatial patterns in the distribution of tropical tree species. , 2000, Science.

[24]  H. Schenk,et al.  Root competition: beyond resource depletion , 2006 .

[25]  D. Stoyan,et al.  Recent applications of point process methods in forestry statistics , 2000 .

[26]  B. Hambly Fractals, random shapes, and point fields , 1994 .

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

[28]  P. J. Boer NATURAL SELECTION OR THE NON-SURVIVAL OF THE NON-FIT , 1999 .

[29]  T. Wiegand,et al.  Spatial ecology of a root parasite – from pattern to process , 2007 .

[30]  DENSITY DEPENDENCE AND POPULATION DIFFERENTIATION OF GENETIC ARCHITECTURE IN IMPATIENS CAPENSIS IN NATURAL ENVIRONMENTS , 2000, Evolution; international journal of organic evolution.

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

[32]  E. C. Pielou Segregation and Symmetry in Two-Species Populations as Studied by Nearest- Neighbour Relationships , 1961 .

[33]  D. Clark,et al.  Edaphic variation and the mesoscale distribution of tree species in a neotropical rain forest , 1998 .

[34]  K. Coates Tree recruitment in gaps of various size, clearcuts and undisturbed mixed forest of interior British Columbia, Canada , 2002 .

[35]  R. Burns,et al.  Silvics of North America: 1. Conifers; 2. Hardwoods , 1990 .

[36]  Jill Lancaster,et al.  Using neutral landscapes to identify patterns of aggregation across resource points , 2006 .

[37]  George L. W. Perry,et al.  A comparison of methods for the statistical analysis of spatial point patterns in plant ecology , 2006, Plant Ecology.

[38]  Thorsten Wiegand,et al.  Spatial patterns and competition of tree species in a Douglas-fir chronosequence on Vancouver Island , 2006 .

[39]  Charles D. Canham,et al.  Seed abundance versus substrate limitation of seedling recruitment in northern temperate forests of British Columbia , 2000 .

[40]  Pierre Legendre,et al.  Distribution patterns of tree species in a Malaysian tropical rain forest , 1997 .

[41]  Thorsten Wiegand,et al.  Analyzing the spatial structure of a Sri Lankan tree species with multiple scales of clustering. , 2007, Ecology.

[42]  T. Wiegand,et al.  A spatially explicit analysis of seedling recruitment in the terrestrial orchid Orchis purpurea. , 2007, The New phytologist.

[43]  Jan M. Rabaey,et al.  Comparison of Methods , 2004 .

[44]  P. T. Spieth Environmental Heterogeneity: A Problem of Contradictory Selection Pressures, Gene Flow, and Local Polymorphism , 1979, The American Naturalist.

[45]  Richard Law,et al.  Spatio‐temporal development of forests – current trends in field methods and models , 2004 .

[46]  Mark Rees,et al.  Identifying aggregation and association in fully mapped spatial data , 1999 .

[47]  B. G. Dunsworth,et al.  Genetic evaluation of alternative silvicultural systems in coastal montane forests: western hemlock and amabilis fir , 2003, Theoretical and Applied Genetics.

[48]  D. Paul,et al.  The selection of the “Survival of the Fittest” , 1988, Journal of the history of biology.

[49]  P. Brown,et al.  Second‐Order Analysis of Inhomogeneous Spatial Point Processes Using Case–Control Data , 2007, Biometrics.

[50]  P. Diggle,et al.  Spatial point pattern analysis and its application in geographical epidemiology , 1996 .

[51]  M. H. Huff Forest Age Structure and Development Following Wildfires in the Western Olympic Mountains, Washington , 1995 .

[52]  B. Ripley The Second-Order Analysis of Stationary Point Processes , 1976 .

[53]  Thorsten Wiegand,et al.  Rings, circles, and null-models for point pattern analysis in ecology , 2004 .

[54]  Dietrich Stoyan,et al.  The use of marked point processes in ecological and environmental forest studies , 1995, Environmental and Ecological Statistics.

[55]  J. Clobert,et al.  Plastic changes in seed dispersal along ecological succession: theoretical predictions from an evolutionary model , 2005 .

[56]  J. Thompson,et al.  Phenotypic selection and population differentiation in relation to habitat heterogeneity in Arrhenatherum elatius (Poaceae) , 1998 .

[57]  Measuring spatial variation in natural selection using randomly‐sown seeds of Arabidopsis thaliana , 1996 .