Browsing Artikkel - fagfellevurdert vitenskapelig / Articles - peer-reviewed by Journals "Methods in Ecology and Evolution"

Now showing items 1-3 of 3

    • imageseg: An R package for deep learning-based image segmentation 

      Niedballa, Jürgen; Axtner, Jan; Döbert, Timm Fabian; Tilker, Andrew; Nguyen, An; Wong, Seth T.; Fiderer, Christian; Heurich, Marco Dietmar; Wilting, Andreas (Peer reviewed; Journal article, 2022)
      Convolutional neural networks (CNNs) and deep learning are powerful and robust tools for ecological applications and are particularly suited for image data. Image segmentation (the classification of all pixels in images) ...

    • Integrated population models poorly estimate the demographic contribution of immigration 

      Paquet, Matthieu; Knape, Jonas; Arlt, Debora; Forslund, Pär; Pärt, Tomas; Flagstad, Øystein; Jones, Carl; Nicoll, MAC; Norris, K; Pemberton, Josephine M.; Sand, Håkan; Svensson, Linn; Tatayah, Vikash; Wabakken, Petter; Wikenros, Camilla; Åkesson, Mikael; Low, Matthew (Peer reviewed; Journal article, 2021)
      1. Estimating the contribution of demographic parameters to changes in population growth is essential for understanding why populations fluctuate. Integrated population models (IPMs) offer a possibility to estimate the ...

    • A laboratory for conceiving Essential Biodiversity Variables (EBVs)—The ‘Data pool initiative for the Bohemian Forest Ecosystem’ 

      Müller, Jörg; Wang, Tiejun; Starý, Martin; Schneider, Thomas; Krzystek, Peter; Homolová, Lucie; Heiden, Uta; Hais, Martin; Darvishzadeh, Roshanak; Červenka, Jaroslav; Brůna, Josef; Skidmore, Andrew; Holzwarth, Stefanie; Latifi, Hoolman; Heurich, Marco (Peer reviewed; Journal article, 2021)
      Effects of climate change-induced events on forest ecosystem dynamics of composition, function and structure call for increased long-term, interdisciplinary and integrated research on biodiversity indicators, in particular ...