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Ecology · 2009 · Vol. 90 · Issue 10 · Wiley
Inferences about habitat selection by animals derived from sequences of relocations obtained with global positioning system (GPS) collars can be influenced by GPS fix success. Environmental factors such as dense canopy cover or rugged terrain can reduce GPS fix success, making subsequent modeling problematic if fix success depends on the selected habitat. Ignoring failed fix attempts may affect estimates of model coefficients...
Limnology and Oceanography · 2008 · Vol. 53 · Issue 4 · Wiley
Analyzing one of the most extensive long‐term data series in the North Sea, the Helgoland Roads time series, we investigated the changes in the factors that potentially drive phytoplankton bloom dynamics in the German Bight. We compared the changes in these factors with the changes in the spring bloom phenology. We combined zooplankton, nutrient, weather, and phytoplankton data to analyze whether there has been a shift in trop...
Journal of Biogeography · 2006 · Vol. 33 · Issue 4 · Wiley
Aim Mac Nally and Lake proposed a statistic ( η ) for determining whether the diversity in archipelagos is better generated by several small patches (SS‐dominance) or by a few large patches (SL‐dominance). The η statistic improves the study of the generation of diversity in systems of patches, but the dependence of η on a particular species–area relationship may reduce its effectiveness. In this paper we show that η may be aff...
New Zealand Journal of Marine and Freshwater Research · 2002 · Vol. 36 · Issue 3 · Wiley
The two‐phase random stratified sampling design proposed by Francis (1984) was designed for situations where prior information is insufficient to ensure an efficient allocation of sampling effort to different strata. It involves taking a first‐phase sample, and then using the data from this to allocate a second‐phase sample which compensates for any shortcomings of the first‐phase sample. Here we generalise this method to situ...
Journal of Biogeography · 2002 · Vol. 29 · Issue 4 · Wiley
Aim Data on Australian landbridge islands were analysed to seek relationships between the extinction of mammals on islands and a number of variables related to the islands, the native mammal species that occur on them and the presence or absence of exotic mammalian predators. The data base included attributes of the mammals (mean adult body weight, diet and shelter habitat) and of the islands [area, rainfall, presence/absence...