Anne Catriona Mehlhoop

ORCID: 0000-0002-0748-7515
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About
Contact & Profiles
Research Areas
  • Ecology and Vegetation Dynamics Studies
  • Peatlands and Wetlands Ecology
  • Forest Ecology and Biodiversity Studies
  • Wildlife-Road Interactions and Conservation
  • Wildlife Ecology and Conservation
  • Botany and Plant Ecology Studies
  • Forest Management and Policy
  • Coastal wetland ecosystem dynamics
  • Environmental Conservation and Management
  • Species Distribution and Climate Change
  • Social and Educational Sciences
  • Urban Green Space and Health
  • Winter Sports Injuries and Performance
  • Rangeland and Wildlife Management
  • Environmental DNA in Biodiversity Studies

Norwegian Institute for Nature Research
2018-2024

Norwegian University of Science and Technology
2022

University of Inland Norway
2018

Norway launched a national action plan on wetland restoration in 2016. So far, 90% of the effort has been peatland restoration, with about 140 mires restored so far. There are three main goals stated plan: 1) limit greenhouse gas (GHG) emission, 2) climate adaptation and 3) improved ecological condition. Quantifying outcome actions is necessary to evaluate whether met. A vegetation monitoring protocol was suggested before started implemented at five sites. As increasing, it timely if data...

10.1111/njb.03988 article EN cc-by Nordic Journal of Botany 2024-01-23

Like large carnivores, hunters both kill and scare ungulates, thus might indirectly affect plant performance through trophic cascades. In this study, we hypothesized that intensive hunting enduring fear of humans have caused moose other forest ungulates to partly avoid areas near human infrastructure (perceived risk), with positive cascading effects on recruitment trees. Using data from the Norwegian inventory, found decreasing browsing pressure increasing tree in close roads houses, where...

10.1002/ece3.8795 article EN cc-by Ecology and Evolution 2022-04-01

Abstract Questions Restoration of disturbed alpine ecosystems is difficult due to harsh environmental conditions. Transplanting vegetation turfs into areas has been used as a restoration method in sites. The aim this study investigate which factors influence the recovery turf surroundings and how attributes contribute recovery. Location Restored roads former military training area, Dovrefjell mountain range, central Norway. Methods We recorded species richness, cover soil characteristics...

10.1111/avsc.12398 article EN Applied Vegetation Science 2018-08-30

Abstract Aims The area influenced by road construction is large, and measures to re‐establish vegetation in disturbed areas are routinely carried out reduce impacts on biodiversity. However, goals of mitigation often unclear, the effects biodiversity rarely monitored. We assessed different revegetation treatments (natural revegetation, seeding, planting) development along highways, wildlife crossings age. Location Highways southeast Norway. Methods collected data vascular plant species,...

10.1111/avsc.12673 article EN cc-by-nc Applied Vegetation Science 2022-07-01

Alpine areas worldwide are under heavy land‐use pressure and degradation. Active restoration treatments can contribute to accelerating recovery of degraded areas. However, monitoring data needed understand the contribution long‐term management predict time (TR). In this study, we used on removed roads in an alpine area Norway investigate TR three vegetation‐based indicators. Four were tested: 1) removal added gravel down original terrain surface, stirring topsoil; 2) adding fertilizer...

10.1111/njb.03984 article EN cc-by Nordic Journal of Botany 2023-06-28

Land-use related to technical infrastructure puts great pressure on nature and landscapes globally. We used a screening approach evaluate vegetation development in 295 construction sites upkeeping of the national power grid Norway assessed if how active measures for recovery can contribute mitigate negative impacts biodiversity natural carbon storage. Bayesian networks were developed assess effect interventions cover, an ensemble learning algorithm (Boruta) was variable importance....

10.1016/j.ecoleng.2022.106789 article EN cc-by Ecological Engineering 2022-09-20
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