Blar i NINA Brage på forfatter "Saerens, Marco"
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Accelerating advances in landscape connectivity modelling with the ConScape library
Van Moorter, Bram; Kivimäki, Ilkka; Noack, Andreas; Devooght, Robin; Panzacchi, Manuela; Hall, Kimberly R.; Leleux, Pierre; Saerens, Marco (Peer reviewed; Journal article, 2022)Increasingly precise spatial data (e.g. high-resolution imagery from remote sensing) allow for improved representations of the landscape network for assessing the combined effects of habitat loss and connectivity declines ... -
Defining and quantifying effective connectivity of landscapes for species’ movements
Van Moorter, Bram; Kivimäki, Illka; Panzacchi, Manuela; Saerens, Marco (Peer reviewed; Journal article, 2021)Ecosystem functioning depends on multiple successful interactions, many supported by individual movements. The degree to which the landscape allows these interactions to take place has been referred to as ‘effective ... -
Habitat functionality: Integrating environmental and geographic space in niche modeling for conservation planning
Van Moorter, Bram; Kivimäki, Ilkka; Panzacchi, Manuela; Saura, Santiago; Niebuhr, Bernardo Brandão; Strand, Olav; Saerens, Marco (Peer reviewed; Journal article, 2023)Niche modeling is typically used to assess the effects of anthropogenic landuse and climate change on species distributions and to inform spatial conser-vation planning. These models focus on the suitability of local biotic ... -
Maximum likelihood estimation for randomized shortest paths with trajectory data
Kivimäki, Ilkka; Van Moorter, Bram; Panzacchi, Manuela; Saramäki, Jari; Saerens, Marco (Journal article, 2020)Randomized shortest paths (RSPs) are tool developed in recent years for different graph and network analysis applications, such as modelling movement or flow in networks. In essence, the RSP framework considers the ...