0000000000383377
AUTHOR
Mikko Kuusinen
Bayesian Mapping of Lichens Growing on Trees
Suitability of trees as hosts for epiphytic lichens are studied in a forest stand of size 25 ha. Suitability is measured as occupation probabilites which are modelled using hierarchical Bayesian approach. These probabilities are useful for an ecologist. They give smoothed spatial distribution map of suitability for each of the species and can be used in detecting high- and low-probability areas. In addition, suitability is explained by tree-level covariates. Spatial dependence, which is due to unobserved spatially structured covariates, is modelled through an unobserved Markov random field. Markov chain Monte Carlo method has been applied in Bayesian computation. The extensive spatial data …
Spatial pattern of the threatened epiphytic bryophyte Neckera pennata at two scales in a fragmented boreal forest
The spatial pattern and occurrence of a threatened bryophyte, Neckera pennata, were studied in relation to the abundance and pattern of suitable substrate trees at two spatial scales: I) in a 4 x 4 km fraction of fragmented, mostly managed southern boreal forest landscape, and 2) in an old-growth forest stand within this landscape, with abundant occurrence of suitable habitats. To explore in detail the spatial clustering of N. pennata at the forest stand scale, we applied a second order point process analysis based on the Ripley's K-function for binary point patterns. Neckera pennata proved to be a rare species in the studied landscape: it was found only on 31 Populus tremula trees. At the …