Most recent publications


  • Gupta A., Furrer R., Petchey OL. (2022). Simultaneously estimating food web connectance and structure with uncertainty. Ecology and Evolution, 12(3):e8643. DOI: 10.1002/ece3.8643
  • Ashby B.,; Farine DR. (2022). Social information use shapes the coevolution of sociality and virulence. Evolution:Epub ahead of print. DOI: 10.1111/evo.14491
  • Brandl H., Pruessner J., Farine D. (2022). The social transmission of stress in animal collectives. Proceedings of the Royal Society of London, Series B: Biological Sciences, 289(1974):20212158. DOI: 10.1098/rspb.2021.2158
  • Forss S., Motes-Rodrigo A., Dongre P., Mohr T., van de Waal E. (2022). Captivity and habituation to humans raise curiosity in vervet monkeys. Animal Cognition, 25(3):671-682. DOI: 10.1007/s10071-021-01589-y
  • Van der Weyde LK., Tobler MW., Gielen MC., Cozzi G., Weise FJ., et al. (2022). Collaboration for conservation: Assessing countrywide carnivore occupancy dynamics from sparse data. Diversity and Distributions, 28(5):917-929. DOI: 10.1111/ddi.13386
  • Haverkamp PJ., Bysykatova-Harmey I., Germogenov N., Schaepman-Strub G. (2022). Increasing Arctic Tundra Flooding Threatens Wildlife Habitat and Survival: Impacts on the Critically Endangered Siberian Crane (Grus leucogeranus). Frontiers in Conservation Science, 3:799998. DOI: 10.3389/fcosc.2022.799998
  • Li K., Sommer S., Yang Z., Guo Y., Yue Y., Ozgul A., Wang D. (2022). Distinct body-size responses to warming climate in three rodent species. Proceedings of the Royal Society of London, Series B: Biological Sciences, 289(1972):20220015. DOI: 10.1098/rspb.2022.0015
  • Zhao Y., Chen X., Kim J-S., Williams M. (2022). Effects of temperature and precipitation on litterfall phenology in four evergreen broad-leaved forests of southern China. Biotropica:Epub ahead of print. DOI: 10.1111/btp.13094
  • Ferrari M., Lindholm AK., Ozgul A., Oli MK., König B. (2022). Cooperation by necessity: condition- and density-dependent reproductive tactics of female house mice. Communications Biology, 5:348. DOI: 10.1038/s42003-022-03267-2
  • Wang D., Forstmeier W., Farine DR., Maldonado-Chaparro AA., Martin K., Pei Y., Alarcón-Nieto G., Klarevas-Irby JA., Ma S., Aplin LM., Kempenaers B. (2022). Machine learning reveals cryptic dialects that explain mate choice in a songbird. Nature Communications, 13:1630. DOI: 10.1038/s41467-022-28881-w