TY - JOUR
T1 - The evolution of resource partitioning in a multidimensional resource space
AU - Pacala, Stephen W.
AU - Roughgarden, Jonathan
N1 - Funding Information:
This work was supportedb y Departmenot f Energy ContractD E-AS03-87500326a warded to J. Roughgardena nd National Instituteso f Health Training Grant GM7181-05. We than Dr. Yoh Iwasa and Dr. Nanako Shigesadaf or their valuablec omments.
PY - 1982/8
Y1 - 1982/8
N2 - The evolution of resource partitioning in a multidimensional resource space is studied for two and three competing species. Optimal patterns of resource partitioning are determined by simultaneously maximizing the fitness of each species with respect to its own niche position, conditional on the positions of all other species. We find that there are only a finite number of possible solutions, and several of these may be optimal simultaneously. Some solutions of the three-species model involve partitioning along more resource axes than any solutions of the two-species model. The results are related to empirical resource partitioning phenomena in Anolis lizard populations.
AB - The evolution of resource partitioning in a multidimensional resource space is studied for two and three competing species. Optimal patterns of resource partitioning are determined by simultaneously maximizing the fitness of each species with respect to its own niche position, conditional on the positions of all other species. We find that there are only a finite number of possible solutions, and several of these may be optimal simultaneously. Some solutions of the three-species model involve partitioning along more resource axes than any solutions of the two-species model. The results are related to empirical resource partitioning phenomena in Anolis lizard populations.
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U2 - 10.1016/0040-5809(82)90039-9
DO - 10.1016/0040-5809(82)90039-9
M3 - Article
C2 - 7147206
AN - SCOPUS:0020172393
SN - 0040-5809
VL - 22
SP - 127
EP - 145
JO - Theoretical Population Biology
JF - Theoretical Population Biology
IS - 1
ER -