BRANCO LEOTE Pedro Nuno, MSc. 


Pedro Leote


University of Innsbruck
Department of Zoology

Research Group: Applied Animal Ecology

Technikerstrasse 25 (Room 508)
A-6020 Innsbruck

T +43 (0) 512 507-51873
F +43 (0) 512 507-51899
pedro.leote@uibk.ac.at

 

I am a behavioural ecologist with a focus on food webs and, more recently, biological control of agricultural pests.

Having graduated from my Master’s from the University of Exeter with a thesis on the use of data mining techniques to assess the foraging ecology of South African giraffe, I then worked for three years as field biologist in the Tua Valley Regional Natural Park in Portugal. There, in collaboration with CIBIO-InBio from the University of Porto, I implemented a project on biological control of agricultural pest by bats, assessing the bats’ diets through metabarcoding.

Currently, I am working on my thesis on food web dynamics to assess how temporal changes in trophic networks affect biological control.

 

Current project

Assessing food web dynamics to improve biocontrol of pests

 

Areas of research:

  • Behavioural ecology
  • Trophic ecology
  • Bioinformatics

 

Publications:

  • Santos, M., Cajaiba, R. L., Gonzalez, D., Leote, P., Ferreira, D., Bastos, R., da Silva, W. B., Cabral, J. A. (2020). How accurate are estimates of flower visitation rates by pollinators? Lessons from a spatially explicit agent-based model. Ecological Informatics 57. https://doi.org/10.1016/j.ecoinf.2020.101077
  • Leote, P., Cajaiba, R. L., Cabral, J. A., Brescovit, A. D., Santos, M. (2020). Are data-mining techniques useful for selecting ecological indicators in biodiverse regions? Bridges between market basket analysis and indicator value analysis from a case study in the neotropics. Ecological Indicators 109. https://doi.org/10.1016/j.ecolind.2019.105833
  • Cajaiba, R. L., Périco, E., da Silva, W. B., Leote, P., & Santos, M. (2018). Are small dung beetles (Aphodiinae) useful for monitoring neotropical forests’ ecological status? Lessons from a preliminary case study in the Brazilian Amazon. Forest Ecology and Management 429:115-123. https://doi.org/10.1016/j.foreco.2018.07.005

 

 

 

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