A global method of nullcline endpoint analysis is employed to de-
termine the outcome of competition for sunlight between two hypothetical
plant species with clonal growth form that differ solely in the height at which
they place their leaves above the ground. This difference in vertical leaf placement, or canopy partitioning, produces species differences in sunlight energy
capture and stem metabolic maintenance costs. The competitive interaction
between these two species is analyzed by considering a special case of a canopy
partitioning model (RR Vance and AL Nevai, J. Theor. Biol. 2007, 245:210-219;
AL Nevai and RR Vance, J. Math. Biol. 2007, 55:105-145). Nullcline endpoint
analysis is used to partition parameter space into regions within which either
competitive exclusion or competitive coexistence occurs. The principal conclu-
sion is that two clonal plant species which compete for sunlight and place their
leaves at different heights above the ground but differ in no other way can, un-
der suitable parameter values, experience stable coexistence even though they
occupy an environment which varies neither over horizontal space nor through
time.
Citation: Andrew L. Nevai, Richard R. Vance. The role of leaf height in plant competition for sunlight: analysis of a canopy partitioning model[J]. Mathematical Biosciences and Engineering, 2008, 5(1): 101-124. doi: 10.3934/mbe.2008.5.101
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Abstract
A global method of nullcline endpoint analysis is employed to de-
termine the outcome of competition for sunlight between two hypothetical
plant species with clonal growth form that differ solely in the height at which
they place their leaves above the ground. This difference in vertical leaf placement, or canopy partitioning, produces species differences in sunlight energy
capture and stem metabolic maintenance costs. The competitive interaction
between these two species is analyzed by considering a special case of a canopy
partitioning model (RR Vance and AL Nevai, J. Theor. Biol. 2007, 245:210-219;
AL Nevai and RR Vance, J. Math. Biol. 2007, 55:105-145). Nullcline endpoint
analysis is used to partition parameter space into regions within which either
competitive exclusion or competitive coexistence occurs. The principal conclu-
sion is that two clonal plant species which compete for sunlight and place their
leaves at different heights above the ground but differ in no other way can, un-
der suitable parameter values, experience stable coexistence even though they
occupy an environment which varies neither over horizontal space nor through
time.