Jan Simon Borgelt
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
2024
-
Borgelt, Jan Simon;
Dorber, Martin;
Géron, Charly;
Kuipers, Koen Jacobus Josefus;
Huijbregts, Mark A. J.;
Verones, Francesca.
(2024)
What Is the Impact of Accidentally Transporting Terrestrial Alien Species? A New Life Cycle Impact Assessment Model.
Environmental Science and Technology
Academic article
-
Gilad, Dafna;
Borgelt, Jan Simon;
May, Roelof Frans;
Dorber, Martin;
Verones, Francesca.
(2024)
Biodiversity impacts of Norway's renewable electricity grid.
Journal of Cleaner Production
Academic article
-
Gilad, Dafna;
Borgelt, Jan Simon;
May, Roelof Frans;
Verones, Francesca.
(2024)
Biodiversity on the line: life cycle impact assessment of power lines on birds and mammals in Norway.
Environmental Research: Infrastructure and Sustainability
Academic article
2022
-
Borgelt, Jan;
Parada, Jorge Sicacha;
Skarpaas, Olav;
Verones, Francesca.
(2022)
Native range estimates for red-listed vascular plants.
Scientific Data
Academic article
-
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
Academic article
2021
-
Géron, Charly;
Lembrechts, Jonas J.;
Borgelt, Jan;
Lenoir, Jonathan;
Hamdi, Rafiq;
Mahy, Grégory.
(2021)
Urban alien plants in temperate oceanic regions of Europe originate from warmer native ranges.
Biological Invasions
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 Simon;
Dorber, Martin;
Géron, Charly;
Kuipers, Koen Jacobus Josefus;
Huijbregts, Mark A. J.;
Verones, Francesca.
(2024)
What Is the Impact of Accidentally Transporting Terrestrial Alien Species? A New Life Cycle Impact Assessment Model.
Environmental Science and Technology
Academic article
-
Gilad, Dafna;
Borgelt, Jan Simon;
May, Roelof Frans;
Dorber, Martin;
Verones, Francesca.
(2024)
Biodiversity impacts of Norway's renewable electricity grid.
Journal of Cleaner Production
Academic article
-
Gilad, Dafna;
Borgelt, Jan Simon;
May, Roelof Frans;
Verones, Francesca.
(2024)
Biodiversity on the line: life cycle impact assessment of power lines on birds and mammals in Norway.
Environmental Research: Infrastructure and Sustainability
Academic article
-
Borgelt, Jan;
Parada, Jorge Sicacha;
Skarpaas, Olav;
Verones, Francesca.
(2022)
Native range estimates for red-listed vascular plants.
Scientific Data
Academic article
-
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
Academic article
-
Géron, Charly;
Lembrechts, Jonas J.;
Borgelt, Jan;
Lenoir, Jonathan;
Hamdi, Rafiq;
Mahy, Grégory.
(2021)
Urban alien plants in temperate oceanic regions of Europe originate from warmer native ranges.
Biological Invasions
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
Outreach
‘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.
2024
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Academic lectureGilad, Dafna; Borgelt, Jan Simon; May, Roelof Frans; Dorber, Martin; Verones, Francesca. (2024) Quantifying Biodiversity Impacts of the Norwegian Energy System. The 3rd World Biodiversity Forum , Davos 2024-06-17 - 2024-06-20