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      How Stand Productivity Results from Size- and Competition-Dependent Growth and Mortality

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          Abstract

          Background

          A better understanding of the relationship between stand structure and productivity is required for the development of: a) scalable models that can accurately predict growth and yield dynamics for the world's forests; and b) stand management regimes that maximize wood and/or timber yield, while maintaining structural and species diversity.

          Methods

          We develop a cohort-based canopy competition model (“CAIN”), parameterized with inventory data from Ontario, Canada, to examine the relationship between stand structure and productivity. Tree growth, mortality and recruitment are quantified as functions of diameter and asymmetric competition, using a competition index ( CAI h ) defined as the total projected area of tree crowns at a given tree's mid-crown height. Stand growth, mortality, and yield are simulated for inventoried stands, and also for hypothetical stands differing in total volume and tree size distribution.

          Results

          For a given diameter, tree growth decreases as CAI h increases, whereas the probability of mortality increases. For a given CAI h , diameter growth exhibits a humped pattern with respect to diameter, whereas mortality exhibits a U-shaped pattern reflecting senescence of large trees. For a fixed size distribution, stand growth increases asymptotically with total density, whereas mortality increases monotonically. Thus, net productivity peaks at an intermediate volume of 100–150 m 3/ha, and approaches zero at 250 m 3/ha. However, for a fixed stand volume, mortality due to senescence decreases if the proportion of large trees decreases as overall density increases. This size-related reduction in mortality offsets the density-related increase in mortality, resulting in a 40% increase in yield.

          Conclusions

          Size-related variation in growth and mortality exerts a profound influence on the relationship between stand structure and productivity. Dense stands dominated by small trees yield more wood than stands dominated by fewer large trees, because the relative growth rate of small trees is higher, and because they are less likely to die.

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          Most cited references166

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          Asymmetric competition in plant populations.

          J. Weiner (1990)
          Recently there has been much interest in the hypothesis that competition between individual plants is asymmetric or onesided: larger individuals obtain a disproportionate share of the resources (for their relative size) and suppress the growth of smaller individuals. This has important implications for population structure, for the analysis of competition between plants at the individual, population and community levels, and for our understanding of competition as a selective force in the evolution of plant populations. Copyright © 1990. Published by Elsevier Ltd.
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            Invariant scaling relations across tree-dominated communities.

            Organizing principles are needed to link organismal, community and ecosystem attributes across spatial and temporal scales. Here we extend allometric theory-how attributes of organisms change with variation in their size-and test its predictions against worldwide data sets for forest communities by quantifying the relationships among tree size-frequency distributions, standing biomass, species number and number of individuals per unit area. As predicted, except for the highest latitudes, the number of individuals scales as the -2 power of basal stem diameter or as the -3/4 power of above-ground biomass. Also as predicted, this scaling relationship varies little with species diversity, total standing biomass, latitude and geographic sampling area. A simulation model in which individuals allocate biomass to leaf, stem and reproduction, and compete for space and light obtains features identical to those of a community. In tandem with allometric theory, our results indicate that many macroecological features of communities may emerge from a few allometric principles operating at the level of the individual.
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              Predictive models of forest dynamics.

              Dynamic global vegetation models (DGVMs) have shown that forest dynamics could dramatically alter the response of the global climate system to increased atmospheric carbon dioxide over the next century. But there is little agreement between different DGVMs, making forest dynamics one of the greatest sources of uncertainty in predicting future climate. DGVM predictions could be strengthened by integrating the ecological realities of biodiversity and height-structured competition for light, facilitated by recent advances in the mathematics of forest modeling, ecological understanding of diverse forest communities, and the availability of forest inventory data.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                13 December 2011
                : 6
                : 12
                : e28660
                Affiliations
                [1 ]Faculty of Forestry, University of Toronto, Toronto, Canada
                [2 ]Computational Ecology and Environmental Science Group, Microsoft Research, Cambridge, United Kingdom
                [3 ]Ontario Forest Research Institute, Sault Ste. Marie, Canada
                University of California, Berkeley, United States of America
                Author notes

                Conceived and designed the experiments: JPC MCV WGC DWP. Performed the experiments: JPC MCV WGC. Analyzed the data: JPC MCV. Contributed reagents/materials/analysis tools: JPC MCV WGC DWP. Wrote the paper: JPC MCV.

                Article
                PONE-D-11-14541
                10.1371/journal.pone.0028660
                3236764
                22174861
                948e011b-b953-4619-87bd-8bc2b7f303b3
                Caspersen et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 28 July 2011
                : 12 November 2011
                Page count
                Pages: 12
                Categories
                Research Article
                Agriculture
                Forestry
                Biology
                Developmental Biology
                Plant Growth and Development
                Ecology
                Plant Ecology
                Population Ecology
                Terrestrial Ecology
                Plant Science
                Plants
                Trees
                Plant Growth and Development
                Population Biology
                Population Dynamics
                Population Ecology
                Population Modeling

                Uncategorized
                Uncategorized

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