Rare species and species with a low detectability are highly susceptible www.selleckchem.com/products/sn-38.html to false absences compared to common species or ones with a high detectability, which can lead to an underestimation of their distribution (MacKenzie and Royle 2005; Lahoz-Monfort et al. 2013). Therefore, higher levels of survey effort are often recommended for rare species (e.g. Bried and Pellet 2012). In summary, we demonstrated

a useful sampling protocol for assessing broad diversity patterns of relatively abundant species in response to environmental gradients (Vellend et al. 2008). However, we caution that our method may be of limited use for rare or cryptic species. Eventually, the required survey effort depends on the study area and the investigated species (Bried et al. 2012). With our case study, we provide an example how to allocate project resources meaningfully to obtain a high statistical power. Conclusion Developing field survey protocols is a challenging task for ecologists and demands thorough consideration of both theoretical and practical issues. Our results suggest that in Southern Transylvania, at least three temporal replicates on at least 100 study sites appeared to be sufficient to study landscape effects on diversity patterns of birds and butterflies following our sampling methods. To model plant diversity patterns, a combination of seven one square meter plots per one EPZ015938 supplier hectare site

at approximately 100 sites www.selleckchem.com/products/lazertinib-yh25448-gns-1480.html appeared to be sufficient. Before implementing landscape-scale surveys, we recommend ecologists conduct pilot studies for several reasons: (1) to trial and customize different techniques and sampling schemes; (2) to identify what is the most efficient use of available resources; and (3) to estimate the statistical power of plausible alternative designs. Our findings suggest that under certain conditions, relative patterns of biodiversity can remain relatively stable, when survey effort is moderately reduced. This in turn, can help to allocate resources to sampling Benzatropine more sites and to more representatively survey large areas.

The general procedure presented in this paper is transferrable to other study systems and may be used as a guideline to help develop reasonable survey designs. Acknowledgments The study was funded through a Sofja Kovalevskaja Award by the Alexander von Humboldt Foundation to Joern Fischer, financed by the German Ministry for Research and Education. We are grateful for help with fieldwork to Kimberlie Rawlings, Pascal Fust and Doreen Hoffmann. Levente Székely and Kuno Martini provided helpful information on local species. Izabela Hartel and Caroline Fernolend provided valuable logistical support. We thank Elise Zipkin for providing R and WinBUGS code and Marc Kéry for useful comments on the hierarchical models. We appreciate numerous discussions with Tibor Hartel. Thanks to Ine Dorresteijn and two anonymous reviewers for helpful comments on the manuscript.