Title of article :
Plant population growth and competition in a light gradient: A mathematical model of canopy partitioning
Author/Authors :
Vance، نويسنده , , Richard R. and Nevai، نويسنده , , Andrew L.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
Pages :
10
From page :
210
To page :
219
Abstract :
Can a difference in the heights at which plants place their leaves, a pattern we call canopy partitioning, make it possible for two competing plant species to coexist? To find out, we examine a model of clonal plants living in a nonseasonal environment that relates the dynamical behavior and competitive abilities of plant populations to the structural and functional features of the plants that form them. This examination emphasizes whole plant performance in the vertical light gradient caused by self-shading. This first of three related papers formulates a prototype single species Canopy Structure Model from biological first principles and shows how all plant properties work together to determine population persistence and equilibrium abundance. Population persistence is favored, and equilibrium abundance is increased, by high irradiance, high maximum photosynthesis rate, rapid saturation of the photosynthetic response to increased irradiance, low tissue respiration rate, small amounts of stem and root tissue necessary to support the needs of leaves, and low density of leaf, stem, and root tissues. In particular, equilibrium abundance decreases as mean leaf height increases because of the increased cost of manufacturing and maintaining stem tissue. All conclusions arise from this formulation by straightforward analysis. The argument concludes by stating this formulationʹs straightforward extension, called a Canopy Partitioning Model, to two competing species.
Keywords :
Canopy partitioning model , Canopy structure model , clonal growth , Light competition , Plant energetics , plant competition , Plant shading
Journal title :
Journal of Theoretical Biology
Serial Year :
2007
Journal title :
Journal of Theoretical Biology
Record number :
1538375
Link To Document :
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