Publikasjoner
NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.
2025
Sammendrag
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Forfattere
Gunnhild SøgaardSammendrag
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Forfattere
Meriel McClatchie Véronique Matterne Núria Rovira Buendia Mila Andonova Ulrike Lohwasser Wendy Marie Waalen Filippos Bantis Marija Knez Jelena Milešević Amil Orahovac Paolo Prosperi Aparajita Banerjee Ivana Radić Aldona Mueller-Bieniek Meline Beglaryan Donal Murphy-Bokern David Gil Bálint Balázs Sónia NegrãoSammendrag
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Forfattere
Ramūnas Digaitis Greeley Beck Sune Tjalfe Thomsen Maria Fredriksson Emil Engelund ThybringSammendrag
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Forfattere
Lathika Y. Hitige Rashmi N.J.K. Arachchi Nimal Ratnayake Miyuru Gunathilake Upaka RathnayakeSammendrag
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Forfattere
Udara Senatilleke Ravindu Panditharathne Ruchiru D. Herath Dushyantha M. Aththanayake Randika K. Makubura Sajana Hemakumara Miyuru Gunathilake Hazi Md. Azamathulla Komali Kantamaneni Upaka RathnayakeSammendrag
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Sammendrag
Reliable estimates of the size and composition of harvested populations over time are key to designing adequate population management plans, regardless of management objectives. In Norway, a national system for collecting and analysing hunter-reported data on red deer (Cervus elaphus) has been operational for about 20 years. The system was expected to provide population metrics that would substantially improve deer population management routines at the municipal level. This has proven to be challenging when using existing state-of-the-art estimation methodology. The main reasons are that the variation in the observation data is generally much larger than population abundance variability, and that one does not have a clear understanding of the stochastic process generating the observation data. Here, using hunter-reported observation data and harvest data from six Norwegian municipalities collected in the period 2007–2023, we show that a straightforward estimation methodology based on population modelling can produce robust abundance estimates despite frequent low quality of the observation data. Its major assets are that it does not involve strong assumptions about the stochastic processes underlying the observation process and that it does not involve assumptions about initial population size and structure in terms of prior statistical distributions. We anticipate that the method can be applied in several other population management contexts, and we think that the results offer fresh perspectives on to what extent noisy citizen-collected time series data can be used to inform management decisions.
Forfattere
Mohammad Tirgariseraji A. Pouyan Nejadhashemi Mahmood Sabouhi Sabouni Yaghoob Jafari Tomas Persson Alisher Mirzabaev Alireza Nikouei Kieron Moller Naser Shahnoushi ForoushaniSammendrag
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Forfattere
Linn Fenna Groeneveld Oksana Bekkevold Trond Bergskås Martin Linkogel Cord Luellmann Marit AlmvikSammendrag
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Sammendrag
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