Dr. Juliane Horn


Kontakt

Dr. Juliane Horn
Referentin Ständige Senatskommission Transformation der Agrar- und Ernährungssysteme (SKAE) der Deutschen Forschungsgemeinschaft (DFG)

Department Bodensystemforschung

Helmholtz Zentrum für Umweltforschung - UFZ
Theodor-Lieser-Str. 4
06120 Halle (Saale)

Tel.: +49 341 6025-3426



Forschungsinteressen

  • Multifunktionalität vom Grünland: Produktion und Ökosystemleistungen
  • Smart-Farming-Technologien: z.B. Virtuelles Zäunen
  • Transformation von Agrar- und Ernährungsystemen
  • Ökologische Modellierung: ABM/IBMs (Agenten- und Individuen-basierte Modellierung)
  • Honigbienen
  • experimentell-analytische Frameworks
  • Tierversuche im Nutztierbereich


Sachkunden

Sachkunde zur Leitung und/oder Planung von Tierversuchen (ehemals FELASA-C-Richtlinien) nach §16 TierSchVersV



 

Lebenslauf

Seit 2025 Wissenschaftliche Mitarbeiterin, Department Bodensystemforschung am Helmholtz-Zentrum für Umweltforschung - UFZ Halle, Referentin Ständige Senatskommission Transformation von Agrar- und Ernährungssystemen (SKAE) der DFG
2019 - Ende 2024 Wissenschaftliche Koordinatorin, Abteilung Graslandwissenschaft der Georg-August Universität Göttingen, Koordinatorin BMBF-Verbundprojekt GreenGrass
2017 - 2019 Wissenschaftliche Mitarbeiterin, Abteilung Graslandwissenschaft der Georg-August Universität Göttingen
2016 - 2017 Wissenschaftliche Mitarbeiterin am Department Ökologische Systemanalyse, Helmholtz-Zentrum für Umweltforschung UFZ, Leipzig
2012 - 2016 Wissenschaftliche Mitarbeiterin/Doktorandin am Department Ökologische Systemanalyse, Helmholtz-Zentrum für Umweltforschung UFZ, Leipzig

Publikationen


2025

Wilms, W., Horn, J., Riesch, F., Hamidi, D., Komainda, M., Hamidi, M., Isselstein, J. (2025). Investigating cattle responses to acoustic signals to extend the functions of virtual fencing collars. Livestock Science 300, art. 105788 10.1016/j.livsci.2025.105788

Grinnell, N. A., Hamidi, D., Komainda, M., Riesch, F., Horn, J., Traulsen, I., Palme, R., & Isselstein, J. (2025). Supporting rotational grazing systems with virtual fencing: paddock transitions, beef heifer performance, and stress response. Animal 19(2), 101416. https://doi.org/10.1016/j.animal.2024.101416.

2024

Hamidi, D., Grinnell, N. A., Komainda, M., Wilms, L., Riesch, F., Horn, J., Hamidi, M., Traulsen, I., & Isselstein, J. (2024). Training cattle for virtual fencing: Different approaches to determine learning success. Applied Animal Behaviour Science 273, 106220. https://doi.org/10.1016/j.applanim.2024.106220.

Wätzold, F., Jauker, F., Komainda, M., Schöttker, O., Horn, J., Sturm, A., & Isselstein, J. (2024). Harnessing virtual fencing for more effective and adaptive agri-environment schemes to conserve grassland biodiversity. Biological Conservation 297, 110736. https://doi.org/10.1016/j.biocon.2024.110736.

Wilms, L., Komainda, M., Hamidi, D., Riesch, F., Horn, J., & Isselstein, J. (2024). How do grazing beef and dairy cattle respond to virtual fences? A review. Journal of Animal Science 102, skae108. https://doi.org/10.1093/jas/skae108.

Hamidi D., Hütt C., Komainda M., Grinnell N.A., Horn J., Riesch F., Hamidi M., Traulsen I., Isselstein J. (2024). Asking grazing cattle: using virtual fencing collars to make forage availability dynamics visible. Grassland Science in Europe 29, 630-632.

Horn J., Riesch F., Komainda M., Isselstein J. (2024). Virtual herding: current trends and future prospects for grazing livestock. Grassland Science in Europe 29, 458-461.

2023

Hamidi, D., Hütt, C., Komainda, M., Grinell, N.A., Horn, J., Riesch, F., Hamidi, M., Traulsen, I., and Isselstein, J. (2023). Grid grazing: A case study on the potential of combining virtual fencing and remote sensing for innovative grazing management on a grid base. Livestock Science 278, 105373, https://doi.org/10.1016/j.livsci.2023.105373.

2022

Horn, J., & Isselstein, J. (2022). How do we feed grazing livestock in the future? A case for knowledge‐driven grazing systems. Grass and Forage Science 77(3), 153–166. https://doi.org/10.1111/gfs.12577.

Hamidi, D., Grinnell, N. A., Komainda, M., Riesch, F., Horn, J., Ammer, S., … & Isselstein, J. (2022). Heifers don’t care: no evidence of negative impact on animal welfare of growing heifers when using virtual fences compared to physical fences for grazing. Animal 16(9), 100614. https://doi.org/10.1016/j.animal.2022.100614.

2021

Horn, J., Becher, M.A., Johst, K., Kennedy, P.J., Osborne, J.L., Radchuk, V., Grimm, V., (2021). Honey bee colony performance affected by crop diversity and farmland structure: a modeling framework. Ecological Applications 31 (1), e02216

2018

Lachmuth, S., Henrichmann, C., Horn, J., Pagel, J., Schurr, F.M. (2018).
Neighbourhood effects on plant reproduction: An experimental–analytical framework and its application to the invasive Senecio inaequidens. Journal of Ecology 106 (2), 761 - 773. 10.1111/1365-2745.12816

2017

Henry, M., Becher, M.A., Osborne, J.L., Kennedy, P.J., Aupinel, P., Bretagnolle, V., Brun, F., Grimm, V., Horn, J., Requier, F. (2017). Predictive systems models can help elucidate bee declines driven by multiple combined stressors. Apidologie 48 (3), 328 - 339 10.1007/s13592-016-0476-0

Horn, J. (2017):
A modelling framework for exploration of a multi-dimensional factor causing decline in honeybee health - towards a better understanding how forage availability in agricultural landscapes affects honeybee colony persistence. Dissertation, Universität Potsdam, 221 pp.

2016

Becher, M.A., Grimm, V., Knapp, J., Horn, J., Twiston-Davies, G., Osborne, J.L. (2016).
BEESCOUT: A model of bee scouting behaviour and a software tool for characterizing nectar/pollen landscapes for BEEHAVE. Ecological Modelling 340, 126 - 133 10.1016/j.ecolmodel.2016.09.013

Horn, J., Becher, M.A., Kennedy, P.J., Osborne, J.L., Grimm, V. (2016). Multiple stressors: using the honeybee model BEEHAVE to explore how spatial and temporal forage stress affects colony resilience. Oikos 125 (7), 1001 - 1016 10.1111/oik.02636

2014

Becher, M.A., Grimm, V., Thorbek, P., Horn, J., Kennedy, P.J., Osborne, J.L. (2014).
BEEHAVE: a systems model of honeybee colony dynamics and foraging to explore multifactorial causes of colony failure. Journal of Applied Ecology 51 (2), 470 - 482 10.1111/1365-2664.12222