@article {1788,
	title = {Forecasting insect species richness scores in poorly surveyed territories: the case of the Portuguese dung beetles (Col. Scarabaeinae)},
	journal = {Biodiversity and Conservation},
	volume = {10},
	number = {8},
	year = {2001},
	note = {457WMBIODIVERS CONSERV},
	month = {Aug},
	pages = {1343-1367},
	abstract = {Large-scale biodiversity assessment of faunal distribution is needed in poorly sampled areas. In this paper, Scarabaeinae dung beetle species richness in Portugal is forecasted from a model built with a data set from areas identified as well sampled. Generalized linear models are used to relate the number of Scarabaeinae species in each Portuguese UTM 50 x 50 grid square with a set of 25 predictor variables (geographic, topographic, climatic and land cover) extracted from a geographic information system (GIS). Between-squares sampling effort unevenness, spatial autocorrelation of environmental data, non-linear relationships between variables and an assessment of the models{\textquoteright} predictive power, the main shortcomings in geographic species richness modelling, are addressed. This methodological approach has proved to be reliable and accurate enough in estimating species richness distribution, thus providing a tool to identify areas as potential targets for conservation policies in poorly inventoried countries.},
	keywords = {species richness sampling dung beetles},
	url = {<Go to ISI>://000170159900008},
	author = {Hortal, J. and Lobo, J. M. and Martin-Piera, F.}
}
