open access

https://doi.org/10.14943/lowtemsci.73.93

https://hdl.handle.net/2115/59080

Modeling competition processes among plants and application to boreal forest

日本語

2015-03-31

Institute of Low Temperature Science, Hokkaido University

Low Temperature Science

0073

93-104

In this review, we summarize research on modeling competition processes among plants;that is, how an individual plant competes with its neighbors. Previous studies have empirically defined various types of competition kernel function (CKF), which is a function of the size difference, distance, and competitive asymmetry between two plants. In this study, we proposed a new CKF and determined the parameters based on census data of Sakhalin fir in Hokkaido using Bayesian inference with the Markov Chain Monte Carlo algorithm (MCMC). Model selection was conducted with Deviation Information Criteria (DIC)to obtain the most plausible model. The selected CKF attenuates with r-3.42, where r denotes the distance between plants, while most previous studies have assumed that CKF decreases with inverse squared distance. The data-oriented CKF derived in this study could be used to elucidate and quantitatively predict temporal changes in spatial pattern and size structure, conspecific clustering, and coexistence in plant communities.

紀要論文

Version of Record

1880-7593