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  1. Employees

Språkvelger

Norsk

Jan Borgelt

Jan Borgelt

Postdoctoral Fellow
Department of Energy and Process Engineering

jan.borgelt@ntnu.no
Realfagbygget, Gløshaugen
About Research Publications Media

About

I am an ecologist with a passion for nature and geography. My education focused on environmental changes in different ecosystems. I am fascinated by data science and I want to use my skills to contribute to the development of a sustainable society.

Research

Footprint and Impacts of Renewable Energy: Pressure on Lands Under Growth

Renewables are key to green energy production. We want to guide the transition from fossil fuels to renewable energy while minimizing impacts on natural resources in Norway.

Transforming Citizen Science for Biodiversity

Citizen science has the power to transform biodiversity research. We develop tools for tackling issues related to citizen science data and for using the data to address ecological questions.

Publications

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2022

  • Borgelt, Jan; Dorber, Martin; Høiberg, Marthe Alnes; Verones, Francesca. (2022) More than half of data deficient species predicted to be threatened by extinction. Communications Biology. volum 5 (1).
    Academic article
  • Borgelt, Jan; Parada, Jorge Sicacha; Skarpaas, Olav; Verones, Francesca. (2022) Native range estimates for red-listed vascular plants. Scientific Data. volum 9.
    Academic article

2021

  • Géron, Charly; Lembrechts, Jonas J.; Borgelt, Jan; Lenoir, Jonathan; Hamdi, Rafiq; Mahy, Grégory; Nijs, Ivan; Monty, Arnaud. (2021) Urban alien plants in temperate oceanic regions of Europe originate from warmer native ranges. Biological Invasions. volum 23 (6).
    Academic article

2020

  • Parada, Jorge Sicacha; Steinsland, Ingelin; Cretois, Benjamin; Borgelt, Jan. (2020) Accounting for spatial varying sampling effort due to accessibility in Citizen Science data: A case study of moose in Norway. Spatial Statistics.
    Academic article

Journal publications

  • Borgelt, Jan; Dorber, Martin; Høiberg, Marthe Alnes; Verones, Francesca. (2022) More than half of data deficient species predicted to be threatened by extinction. Communications Biology. volum 5 (1).
    Academic article
  • Borgelt, Jan; Parada, Jorge Sicacha; Skarpaas, Olav; Verones, Francesca. (2022) Native range estimates for red-listed vascular plants. Scientific Data. volum 9.
    Academic article
  • Géron, Charly; Lembrechts, Jonas J.; Borgelt, Jan; Lenoir, Jonathan; Hamdi, Rafiq; Mahy, Grégory; Nijs, Ivan; Monty, Arnaud. (2021) Urban alien plants in temperate oceanic regions of Europe originate from warmer native ranges. Biological Invasions. volum 23 (6).
    Academic article
  • Parada, Jorge Sicacha; Steinsland, Ingelin; Cretois, Benjamin; Borgelt, Jan. (2020) Accounting for spatial varying sampling effort due to accessibility in Citizen Science data: A case study of moose in Norway. Spatial Statistics.
    Academic article

Media

‘Generally ignored’ species face twice the extinction threat, warns study

Wildlife with little data faces double the risk of dying out – which may mean many more species are endangered than previously thought

Extinction Risk May Be Much Worse Than Current Estimates

A machine-learning algorithm predicts that more than half of the thousands of species whose conservation status has yet to be assessed are probably in danger of disappearing for good

Tusener av dyr og planter forsvinner før vi har hilst på dem

Ingen vet hvor mange arter som egentlig er truet av utryddelse, ikke engang blant artene vi har gitt navn. Norske datasimuleringer gir skremmende ny innsikt.
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