About the issue
With topics ranging from phylogenetic analysis to statistics and distribution modelling, conservation, citizen science, surveys, genetic and demographic models to avian biology, our issue 3.2 should be of interest to most ecologists and evolutionary biologists. The issue also contains 5 free applications.
About the cover
This very high-resolution image of a beech-dominated forest in central Germany was taken by an unmanned aerial vehicle (UAV) at 250 meter above ground. In this photograph one can clearly recognize individual tree crowns and even smallest gaps. UAVs are increasingly used for ecological surveys because they provide extremely fine resolutions and thus allow the identification of previously undetected object details. Furthermore, UAVs can be considered as very cost-effective tools for the acquisition of data that can be used also very flexibly.
In Assessing biodiversity in forests using very high-resolution images and unmanned aerial vehicles Getzin, Wiegand and Schöning tested the hypothesis that gap-structural information on aerial images can be principally used for the ecological assessment of understorey plant diversity in forests. The authors demonstrate that spatially implicit information on gap shape metrics is indeed sufficient to reveal strong dependency between gap patterns as a filter for incoming light and plant biodiversity. The study highlights that understorey biodiversity can be actively controlled by the spatial quality, and not just quantity, of tree removal. Thus, even under the same quota of tree harvesting, the promotion of complex and irregularly shaped gaps may be beneficial to foster biodiversity in forests.