Oskar Liset Pryds Hansen

ORCID: 0000-0002-1598-5733
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About
Contact & Profiles
Research Areas
  • Species Distribution and Climate Change
  • Climate change and permafrost
  • Peatlands and Wetlands Ecology
  • Forest Ecology and Biodiversity Studies
  • Fire effects on ecosystems
  • Smart Agriculture and AI
  • Insect and Arachnid Ecology and Behavior
  • Plant and animal studies
  • Scientific Research and Discoveries
  • Ocean Acidification Effects and Responses
  • Wildlife Ecology and Conservation
  • Atmospheric and Environmental Gas Dynamics
  • Ecology and Vegetation Dynamics Studies
  • Forest Insect Ecology and Management
  • Microbial Community Ecology and Physiology
  • Animal Behavior and Reproduction
  • Ecology and biodiversity studies
  • Geology and Paleoclimatology Research
  • Insect behavior and control techniques
  • Environmental DNA in Biodiversity Studies
  • Collembola Taxonomy and Ecology Studies
  • Cryospheric studies and observations
  • Radiomics and Machine Learning in Medical Imaging
  • Wildlife-Road Interactions and Conservation

Natural History Museum Aarhus
2019-2021

Aarhus University
2016-2021

Most animal species on Earth are insects, and recent reports suggest that their abundance is in drastic decline. Although these come from a wide range of insect taxa regions, the evidence to assess extent phenomenon sparse. Insect populations challenging study, most monitoring methods labor intensive inefficient. Advances computer vision deep learning provide potential new solutions this global challenge. Cameras other sensors can effectively, continuously, noninvasively perform...

10.1073/pnas.2002545117 article EN cc-by Proceedings of the National Academy of Sciences 2021-01-11

Changes in insect biomass, abundance, and diversity are challenging to track at sufficient spatial, temporal, taxonomic resolution. Camera traps can capture habitus images of ground-dwelling insects. However, currently sampling involves manually detecting identifying specimens. Here, we test whether a convolutional neural network (CNN) classify ground beetles species level, estimate how correct classification relates body size, number inside genera, identity.We created an image database...

10.1002/ece3.5921 article EN cc-by Ecology and Evolution 2019-12-24

The Arctic is warming at twice the rate of rest world. This impacts species both directly, through increased temperatures, and indirectly, structural changes in their habitats. Species are expected to exhibit idiosyncratic responses change, which calls for detailed investigations community level. Here, we investigate how arthropod assemblages spiders beetles respond variation habitat structure small spatial scales. We sampled transitions shrub dominance soil moisture between three different...

10.7717/peerj.2224 article EN cc-by PeerJ 2016-07-14

Abstract Insects and other terrestrial invertebrates are declining in species richness abundance. This includes the associated with herbivore dung, which have been negatively affected by grazing abandonment progressive loss of large herbivores since Late Pleistocene. Importantly, traditional monitoring these is time‐consuming requires considerable taxonomic expertise, becoming increasingly scarce. In this study, we investigated potential environmental DNA (eDNA) metabarcoding cow dung...

10.1111/mec.15734 article EN cc-by Molecular Ecology 2020-11-18

Amidst the global biodiversity crisis, identifying general principles for variation of remains a key challenge. Scientific consensus is limited to few macroecological rules, such as species richness increasing with area, which provide guidance conservation. In fact, agreed ecological apply at scale sites or reserve management, partly because most community‐level studies are restricted single habitat types and groups. We used recently proposed ecospace framework comprehensive data set...

10.1111/oik.07145 article EN cc-by Oikos 2020-05-25

Abstract Ecological processes and biodiversity patterns are strongly affected by how animals move through the landscape. However, it remains challenging to predict animal movement space use. Here we present our new r package enerscape quantify in real landscapes based on energy expenditure. integrates a general locomotory model for terrestrial with GIS tools order map costs of given environment, resulting that reflect expenditures may shape habitat only requires topographic data (elevation)...

10.1111/2041-210x.13734 article EN Methods in Ecology and Evolution 2021-11-02

The Arctic is warming at twice the rate of rest world. This impacts species both directly, through increased temperatures, and indirectly, structural changes in their habitats. Species are expected to exhibit idiosyncratic responses change, which calls for detailed investigations community level. Here, we investigate how arthropod assemblages spiders beetles respond variation habitat structure small spatial scales. We sampled transitions shrub dominance soil moisture between three different...

10.7287/peerj.preprints.2129v1 preprint EN 2016-06-15

The Arctic is warming at twice the rate of rest world. This impacts species both directly, through increased temperatures, and indirectly, structural changes in their habitats. Species are expected to exhibit idiosyncratic responses change, which calls for detailed investigations community level. Here, we investigate how arthropod assemblages spiders beetles respond variation habitat structure small spatial scales. We sampled transitions shrub dominance soil moisture between three different...

10.7287/peerj.preprints.2129 preprint EN 2016-06-15

Abstract Amidst the global biodiversity crisis, identifying drivers of variation remains a key challenge. Scientific consensus is limited to few macroecological rules, such as species richness increasing with area, which provide guidance for conservation. In fact, agreed ecological principles apply at scale sites or reserve management, partly because most community-level studies are restricted single habitat types and groups. We used recently proposed ecospace framework comprehensive data...

10.1101/807321 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2019-10-17
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