Roi Harel

Roi Harel's picture
Department of Ecology, Evolution and Behavior, The Hebrew University of Jerusalem, Givat Ram, Jerusalem 91904, Israel

My research deals with group foraging of Griffon Vultures (gyps fulvus) and information transfer while searching for the ephemeral food resource. Using a new GPS-3D accelerometer tracking device and new technology of long range radio tags, I'm trying to differentiate between several information transfer mechanisms in the local vulture population such as local enhancement and information center. The local vulture population present a great opportunity to test this question due to the control we have on the food resource and due to the ability to mark great proportion of the population. The low conservation status gives one more reason to study this species. Studying what affect individuals decisions while searching for food can contribute to the conservation for this and related species.


Roi Harel, , Orr Spiegel, , Ran Nathan, W. M. Getz, (2017) Social foraging and individual consistency in following behaviour: testing the information centre hypothesis in free-ranging vultures | Proceedings of the Royal Society B 20162654 : 284
Roi Harel, , Orr Spiegel, , Nir Horvitz, , Ran Nathan, J. Fluhr, , O. Duriez, , W. M. Getz, , W. Bouten, , F. Sarrazin, , O. Hatzofe, (2016) Decision-making by a soaring bird: time, energy and risk considerations at different spatiotemporal scales | Philosophical Transactions of the Royal Society B
Roi Harel, , Nir Horvitz, , Ran Nathan, (2016) Adult vultures outperform juveniles in challenging thermal soaring conditions | Scientific Reports 27865 : 6
Orr Spiegel, , Roi Harel, , Alejandro Centeno-Cuadros, , Ran Nathan, O. Hatzofe, W. M. Getz, (2015) Moving beyond curve-fitting: using complementary data to assess alternative explanations for long movements of three vulture species | The American Naturalist E44-E54 : 185
Yehezkel Resheff, , Shay Rotics, , Roi Harel, , Orr Spiegel, , Ran Nathan, (2014) AcceleRater: a web application for supervised learning of behavioral modes from acceleration measurements | Movement Ecology 25 : 2