• Energy Research

AbstractSite-occupancy models that predict habitat suitability for plant species in relation to measurable environmental factors can be useful for conservation planning. Such models can be derived from large-scale presence–absence datasets on the basis of environmental observations or, where only floristic data are available, using plant trait values averaged across a plot. However, the estimated modelled relationship between species presence and environmental variables depends on the type of statistical model adopted and hence can introduce additional uncertainty. Authors used an ensemble-modelling approach to constrain and quantify the uncertainty because of the choice of statistical model, applying generalised linear models (GLM), generalised additive models (GAM), and multivariate adaptive regression splines (MARS). Niche models were derived for over 1000 species of vascular plants, bryophytes and lichens, representing a large proportion of the British flora and many species occurring in continental E...

Stipitate hydnoid fungi are considered to be rare in the United Kingdom based on infrequent and localised observations of fruit bodies. Here, we investigate whether the production of stipitate hydnoid fruit bodies is related to weather conditions using a 14 year standardised survey of 11 species associated with Scots pine. Fruit body production was highly variable over time and asynchronous between species. Relationships with climatic predictors were variable between species, however both overall abundance and species richness of stipitate hydnoid fruit bodies were related to rainfall. These results suggest that climatic conditions in the preceding months can influence the likelihood of observing stipitate hydnoid fruit bodies, but that a large part of variation in fruiting of these taxa remains unexplained.