Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2021
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Authors
Matthew J. Kauffman Francesca Cagnacci Simon Chamaillé-Jammes Mark Hebblewhite J. Grant C. Hopcraft Jerod A. Merkle Thomas Mueller Atle Mysterud Wibke Erika Brigitta Peters Christiane Roettger Alethea Steingisser James E. Meacham Kasahun Abera Jan Adamczewski Ellen O. Aikens Hattie Bartlam-Brooks Emily Bennitt Joel Berger Charlotte Boyd Steeve D. Côté Lucie Isabelle Debeffe Andrea S. Dekrout Nandintsetseg Dejid Emiliano Donadio Luthando Dziba William F. Fagan Claude Fischer Stefano Focardi John M. Fryxell Richard W. S. Fynn Chris Geremia Benito A. González Anne Gunn Elie Gurarie Marco Dietmar Heurich Jodi Hilty Mark A. Hurley Aran Johnson Kyle Joly Petra Kaczensky Corinne J. Kendall Pavel Kochkarev Leonid Kolpaschikov Rafal Kowalczyk Frank van Langevelde Binbin V. Li Anne Loison Alex L. Lobora Tinaapi H. Madiri David Mallon Erling Meisingset Christer Moe Rolandsen Erling Johan Solberg Olav StrandAbstract
Migration of ungulates (hooved mammals) is a fundamental ecological process that promotes abundant herds, whose effects cascade up and down terrestrial food webs. Migratory ungulates provide the prey base that maintains large carnivore and scavenger populations and underpins terrestrial biodiversity (fig. S1). When ungulates move in large aggregations, their hooves, feces, and urine create conditions that facilitate distinct biotic communities. The migrations of ungulates have sustained humans for thousands of years, forming tight cultural links among Indigenous people and local communities. Yet ungulate migrations are disappearing at an alarming rate (1). Efforts by wildlife managers and conservationists are thwarted by a singular challenge: Most ungulate migrations have never been mapped in sufficient detail to guide effective conservation. Without a strategic and collaborative effort, many of the world’s great migrations will continue to be truncated, severed, or lost in the coming decades. Fortunately, a combination of animal tracking datasets, historical records, and local and Indigenous knowledge can form the basis for a global atlas of migrations, designed to support conservation action and policy at local, national, and international levels.
Abstract
Simple Summary Chronic Wasting Disease is a deadly infectious disease affecting cervids that was discovered in Norway in 2016. CWD can transmit through environmental reservoirs and aggregation and spatial clustering of animals may affect transmission. Deer usually forage on scattered forage, but anthropogenic food sources are often concentrated in space, leading to spatial aggregation. We determined what caused red deer to revisit the same locations in the environment, and the extent to which this was caused by anthropogenic food sources. We document that the most visited sites were indeed anthropogenic, which opens potential avenues to disease mitigation. Abstract Herbivores like cervids usually graze on widely scattered forage, but anthropogenic food sources may cause spatial revisitation and aggregation, posing a risk for transmission of infectious diseases. In 2016, chronic wasting disease (CWD) was first detected in Norway. A legal regulation to ban supplemental feeding of cervids and to fence stored hay bales was implemented to lower aggregation of cervids. Knowledge of further patterns and causes of spatial revisitation can inform disease management. We used a recently developed revisitation analysis on GPS-positions from 13 red deer (Cervus elaphus) to identify the pattern of spatial clustering, and we visited 185 spatial clusters during winter to identify the causes of clustering. Anthropogenic food sources were found in 11.9% of spatial clusters, which represented 31.0% of the clusters in agricultural fields. Dumping of silage and hay bales were the main anthropogenic food sources (apart from agricultural fields), and unfenced hay bales were available despite the regulation. The probability of the clusters being in agricultural fields was high during winter. It may be necessary to find other ways of disposing of silage and enforcing the requirement of fencing around hay bales to ensure compliance, in particular during winters with deep snow.
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Authors
Sunil Mundra O. Janne Kjønaas Luis Morgado Anders Kristian Krabberød Yngvild Ransedokken Håvard KauserudAbstract
Soil depth represents a strong physiochemical gradient that greatly affects soil-dwelling microorganisms. Fungal communities are typically structured by soil depth, but how other microorganisms are structured is less known. Here, we tested whether depth-dependent variation in soil chemistry affects the distribution and co-occurrence patterns of soil microbial communities. This was investigated by DNA metabarcoding in conjunction with network analyses of bacteria, fungi, as well as other micro-eukaryotes, sampled in four different soil depths in Norwegian birch forests. Strong compositional turnover in microbial assemblages with soil depth was detected for all organismal groups. Significantly greater microbial diversity and fungal biomass appeared in the nutrient-rich organic layer, with sharp decrease towards the less nutrient-rich mineral zones. The proportions of copiotrophic bacteria, Arthropoda and Apicomplexa were markedly higher in the organic layer, while patterns were opposite for oligotrophic bacteria, Cercozoa, Ascomycota and ectomycorrhizal fungi. Network analyses indicated more intensive inter-kingdom co-occurrence patterns in the upper mineral layer (0–5 cm) compared to the above organic and the lower mineral soil, signifying substantial influence of soil depth on biotic interactions. This study supports the view that different microbial groups are adapted to different forest soil strata, with varying level of interactions along the depth gradient.
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Computer models use symbols in various ways adapted from mathematics, computer science, engineering and the natural sciences. Model applications in ecology often seek to represent future states of ecosystems, a task that has been difficult to achieve. Reflection upon the role of symbols in these models may help to disentangle the various sources and contributions to these perceptions of the environment. The modi of time (past, present, future) are here represented by corresponding forms of modelling as narration, performance, and simulation. All three occur in ecological modelling, and transitions between them may be indicative of modelling limits. Given the difficulties of representing the future of ecosystems and finding relevant analogies in the history of ecosystem use, the most challenging task for contemporary ecological models is to perform appropriately with respect to (Big) monitoring Data. We use an analogy between an environmental crisis in natural history and the current Anthropocene to demonstrate the limits of symbols in modelling which are intended to provide an abstract representation. A shift in emphasis on the engineering and computational aspect is proposed for organizing a sustainable human-environment relationship in the Anthropocene.
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In a young Norway spruce stand (planted in 2012) at Hoxmark, Southeast Norway, Net Ecosystem Exchange (NEE) was measured using Eddy Covariance. The data were carefully processed with time-dependent stand parameters (i.e. canopy height), a detailed footprint analysis and calculated at 30 min temporal resolution. Photosynthetic Active Radiation (PAR) as the primary driver for carbon uptake was also available at the site. Despite its young age, the plantation already acted as a net carbon sink according to the annual NEE budget, e.g. by ca. 300 g C m-2 in 2019. However, the response of the system depended strongly on hydrometeorological conditions. We demonstrate this by investigating the relationship between NEE and PAR for this system in a temporally local fashion (30 days moving windows), using a Michaelis-Menten approach involving three parameters. Although the regression captured up to ca. 80% of the variance, the parameter estimates differed substantially throughout the season, and were contrasting between the very dry year 2018 and the close to normal year 2019. Comparison with other EC-equipped sites in a future study will clarify whether this variable sensitivity is due to the young age or is a pattern pertaining also to mature spruce stands. https://doi.org/10.5194/egusphere-egu21-5028