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Employment (4)

Research Institute for Nature and Forest: Brussel, BE

Employment
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Research Institute for Nature and Forest

Research Institute for Nature and Forest: Brussel, BE

2024-03-15 to present | Scientist (Research Group wildlife Management)
Employment
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Martijn Bollen

UHasselt - Hasselt University: Hasselt, BE

2019-10-01 to 2023-09-30 | PhD-student (Centre for Environmental Sciences; Data Science Institute)
Employment
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Martijn Bollen

Research Institute for Nature and Forest: Brussels, BE

2019-10-01 to 2023-09-30 | PhD-student
Employment
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Martijn Bollen

Education and qualifications (2)

KU Leuven: Leuven, BE

Master of Biology (MSc) (Sciences)
Education
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Martijn Bollen

Hasselt University: Hasselt, BE

Bachelor of Biology (BSc) (Sciences)
Education
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Martijn Bollen

Works (5)

When and where? Day-night alterations in wild boar space use captured by a generalized additive mixed model

PeerJ
2024-06-12 | Journal article | Author
SOURCE-WORK-ID:

225627d1-c38d-42fb-a0ed-7801ce4f7d9a

Contributors: Martijn Bollen; Jim Casaer; Thomas Neyens; Natalie Beenaerts; Donald Kramer
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Research Institute for Nature and Forest

Assessing trends in population size of three unmarked species: A comparison of a multi‐species N‐mixture model and random encounter models

Ecology and Evolution
2023-10 | Journal article
Contributors: Martijn Bollen; Pablo Palencia; Joaquín Vicente; Pelayo Acevedo; Lucía Del Río; Thomas Neyens; Natalie Beenaerts; Jim Casaer
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Crossref

Assessing trends in population size of three unmarked species: A comparison of a multi-species N-mixture Model and Random Encounter Models

2023-06-07 | Preprint
Contributors: Martijn Bollen; Pablo Palencia; Joaquín Vicente; Pelayo Acevedo; Lucía Del Río; Thomas Neyens; Natalie Beenaerts; Jim Casaer
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Crossref

Simulation-based assessment of the performance of hierarchical abundance estimators for camera trap surveys

2022-11-25 | Preprint
Contributors: Bollen Martijn; Casaer Jim; Beenaerts Natalie; Neyens Thomas
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Crossref

Managing African Swine Fever: Assessing the Potential of Camera Traps in Monitoring Wild Boar Occupancy Trends in Infected and Noninfected Zones, Using Spatio-temporal Statistical Models

Source: Self-asserted source
Martijn Bollen
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