Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Eivind Flittie Kleiven"'
Autor:
Simon Lacombe, Rolf Ims, Nigel Yoccoz, Eivind Flittie Kleiven, Pedro G. Nicolau, Dorothee Ehrich
Publikováno v:
Ecology and Evolution, Vol 14, Iss 4, Pp n/a-n/a (2024)
Abstract In the Arctic tundra, predators face recurrent periods of food scarcity and often turn to ungulate carcasses as an alternative food source. As important and localized resource patches, carrion promotes co‐occurrence of different individual
Externí odkaz:
https://doaj.org/article/4edace0e393742cd83510fb4e14cec8e
Autor:
Eivind Flittie Kleiven, Pedro Guilherme Nicolau, Sigrunn Holbek Sørbye, Jon Aars, Nigel Gilles Yoccoz, Rolf Anker Ims
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 9, Iss 3, Pp 390-403 (2023)
Abstract Camera traps have become popular labor‐efficient and non‐invasive tools to study animal populations. The use of camera trap methods has largely focused on large animals and/or animals with identifiable features, with less attention being
Externí odkaz:
https://doaj.org/article/43b569ba63ed4d1aa212788e406f8a3a
Autor:
Frédéric Barraquand, Nigel G. Yoccoz, Rolf A. Ims, Olivier Gimenez, Eeva M. Soininen, John-André Henden, Eivind Flittie Kleiven
Publikováno v:
Journal of Agricultural Biological and Environmental Statistics
Occupancy models have been extended to account for either multiple spatial scales or species interactions in a dynamic setting. However, as interacting species (e.g., predators and prey) often operate at different spatial scales, including nested spa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::489ac090ed69d7b4c244ba4f9b0064f3
https://hdl.handle.net/11250/3075477
https://hdl.handle.net/11250/3075477
Camera traps have become popular for monitoring biodiversity and animal populations. Artificial intelligence is increasingly used to automatically classify large image data sets produced by camera traps and many tools that incorporate machine-learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69c4d23b3b47ce0f5342fbcdbe8aeaff
https://doi.org/10.1101/2022.10.05.510927
https://doi.org/10.1101/2022.10.05.510927
Autor:
Eivind Flittie Kleiven, Pedro Guilherme Nicolau, Sigrunn Holbek Sørbye, Jon Aars, Nigel Gilles Yoccoz, Rolf Anker Ims
Camera traps have become popular labor-efficient and non-invasive tools to study animal populations. The use of camera trap methods has largely focused on large animals and/or animals with identifiable features, with less attention being paid to smal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20001bab6404c3d778076cfce03d1f2e
https://hdl.handle.net/10037/28012
https://hdl.handle.net/10037/28012
Publikováno v:
Naturen. 143:99-107
Publikováno v:
Arctic Science, Pp 1-17 (2021)
Small rodents are a key indicator to understand the effect of rapidly changing winter climate on Arctic tundra ecosystems. However, monitoring rodent populations through the long Arctic winter by means of conventional traps has, until now, been hampe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6f9c0f93e234223741e0eb9b967f31a
https://cdnsciencepub.com/doi/10.1139/as-2021-0006
https://cdnsciencepub.com/doi/10.1139/as-2021-0006
Autor:
Eeva M. Soininen, Michael J. Murphy, John Markus Bjørndalen, Oystein Tveito, Eivind Flittie Kleiven, Issam Rais, Otto J. Anshus
Publikováno v:
CCGRID
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b047f746ad330ab52e45c44f67ac6fcd
https://hdl.handle.net/10037/22742
https://hdl.handle.net/10037/22742
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-6 (2018)
Scientific Reports
Scientific Reports
Source at: http://doi.org/10.1038/s41598-018-33443-6 Ecological models have been criticized for a lack of validation of their temporal transferability. Here we answer this call by investigating the temporal transferability of a dynamic state-space mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa979e0c0f8d3809b021f4c51956b310
https://hdl.handle.net/10037/14015
https://hdl.handle.net/10037/14015