Blar i forfatter "Kleiven, Eivind Flittie"

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    • A Dynamic Occupancy Model for Interacting Species with Two Spatial Scales 

      Kleiven, Eivind Flittie; Barraquand, Frédéric; Gimenez, Olivier; Henden, John-André; Ims, Rolf Anker; Soininen, Eeva M; Yoccoz, Nigel (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-04-10)
      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 spatial structure might be especially relevant to models of interacting species. Here we bridge these two model frameworks by developing a multi-scale, ...

    • Experiences Building and Deploying Wireless Sensor Nodes for the Arctic Tundra 

      Murphy, Michael J.; Tveito, Øystein; Kleiven, Eivind Flittie; Rais, Issam; Soininen, Eeva M; Bjørndalen, John Markus; Anshus, Otto (Journal article; Tidsskriftartikkel, 2021-08-02)
      The arctic tundra is most sensitive to climate change. The change can be quantified from observations of the fauna, flora and weather conditions. To do observations at sufficient spatial and temporal resolution, ground-based observation nodes with sensors are needed. However, the arctic tundra is resource-limited with regards to energy, data networks, and humans. There are also regulatory and practical ...

    • Population cycles in small rodents seen through the lens of a wildlife camera 

      Kleiven, Eivind Flittie (Doctoral thesis; Doktorgradsavhandling, 2022-06-08)
      Population cycles in small rodents have attracted attention from ecologists for more than a century. This spectacular phenomenon is crucial for the functioning of many northern food-webs and has intrigued ecologist because of its lessons for general ecology. Knowledge about the rodent cycle has, however, been hampered by the lack of reliable monitoring methods both for rodents and some of their ...

    • Predictive state-space modelling of lemming population outbreaks on the Fennoscandian tundra: Are determinants of spatial variation in outbreak amplitude temporally consistent? 

      Kleiven, Eivind Flittie (Master thesis; Mastergradsoppgave, 2015-11-13)
      Lemmings are famous for their spectacular population cycles that causes waves of biomass through the arctic tundra. Both climate variability and the interaction with the sympatric grey-sided vole have been shown to effect lemming outbreaks. However little is known about the transferability of these effects between peaks. I analyzed the spatial variability using snap-trapping data from two ...

    • Seasonal difference in temporal transferability of an ecological model: near-term predictions of lemming outbreak abundances 

      Kleiven, Eivind Flittie; Henden, John-André; Ims, Rolf Anker; Yoccoz, Nigel Gilles (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-10-15)
      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 model developed to estimate season-dependent biotic and climatic predictors of spatial variability in outbreak abundance of the Norwegian lemming. Modelled summer and winter dynamics parametrized by spatial ...

    • A semi-automatic workflow to process images from small mammal camera traps 

      Böhner, Hanna; Kleiven, Eivind Flittie; Ims, Rolf Anker; Soininen, Eeva M (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-06-05)
      Camera traps have become popular for monitoring biodiversity, but the huge amounts of image data that arise from camera trap monitoring represent a challenge and artificial intelligence is increasingly used to automatically classify large image data sets. However, it is still challenging to combine automatic classification with other steps and tools needed for efficient, quality-assured and adaptive ...

    • Using camera traps to monitor cyclic vole populations 

      Kleiven, Eivind Flittie; Antunes Lopes Da Silva Nicolau, Pedro Guilherme; Sørbye, Sigrunn Holbek; Aars, Jon; Yoccoz, Nigel; Ims, Rolf Anker (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-12-02)
      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 small mammals, including rodents. Here we investigate the suitability of camera-trap-based abundance indices to monitor population dynamics in two species ...

    • Using machine learning to provide automatic image annotation for wildlife camera traps in the Arctic 

      Thom, Håvard; Bjørndalen, John Markus; Kleiven, Eivind Flittie; Soininen, Eeva M; Killengreen, Siw Turid; Ehrich, Dorothee; Ims, Rolf Anker; Anshus, Otto; Horsch, Alexander (Chapter; Bokkapittel, 2017)
      The arctic tundra is considered the terrestrial biome expected to be most impacted by climate change, with temperatures projected to increase as much as 10 °C by the turn of the century. The Climate-ecological Observatory for Arctic Tundra (COAT) project monitors the climate and ecosystems using several sensor types. We report on results from projects that automate image annotations from two of the ...

    • Using subnivean camera traps to study arctic small mammal community dynamics during winter 

      Mölle, Jonas; Kleiven, Eivind Flittie; Ims, Rolf Anker; Soininen, Eeva M (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-05-12)
      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 hampered by snow cover and harsh ambient conditions. Here, we conduct the first extensive assessment of the utility of a newly developed camera trap to ...