Premium
Stability and coexistence in a lawn community: mathematical prediction of stability using a community matrix with parameters derived from competition experiments
Author(s) -
Roxburgh Stephen H.,
Wilson J. Bastow
Publication year - 2000
Publication title -
oikos
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.672
H-Index - 179
eISSN - 1600-0706
pISSN - 0030-1299
DOI - 10.1034/j.1600-0706.2000.880218.x
Subject(s) - lawn , competition (biology) , matrix (chemical analysis) , stability (learning theory) , plant community , monoculture , coexistence theory , hierarchy , null model , ecology , transitive relation , biology , interspecific competition , mathematics , combinatorics , computer science , ecological succession , chemistry , economics , chromatography , machine learning , market economy
Community matrix theory has been proposed as a means of predicting whether a particular set of species will form a stable mixture. However, the approach has rarely been used with data from real communities. Using plant competition experiments, we use community matrix theory to predict the stability and competitive structuring of a lawn community.
Seven species from the lawn, including the six most abundant, were grown in boxes, in conditions very similar to those on the lawn. They were grown alone (monocultures), and in all possible pairs.
The species formed a transitive hierarchy of competitive ability, with most pairs of species showing asymmetric competition. Relative competitive ability (competitive effect) was positively correlated with published estimates of the maximum relative growth rate (RGR max ) for the same species.
A seven‐species community matrix predicted the mixture of species to be unstable. Simulations revealed two topological features of this community matrix. First, the matrix was closer to the stability/instability boundary than predicted from a range of null (random) models, suggesting that the lawn may be close to stability. Second, the tendencies of the lawn species to compete asymmetrically, and to be arranged in competitive hierarchies, were found to be positively associated with stability, and hence may be contributing factors to the near‐stability seen in the matrix.
The limitations of using competition experiments for constructing community matrices are discussed.