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.
2026
Abstract
No abstract has been registered
Authors
Adam Eindride Naas Trond Simensen Lasse Torben Keetz Ingrid Vesterdal Tjessem Anders Bryn Rune Halvorsen Peter Horvath Ida Marielle Mienna Olav Skarpaas Joachim Paul Töpper Vigdis Vandvik Liv Guri Velle Catharina Caspara VloonAbstract
No abstract has been registered
Authors
Gaute Velle Anders Bryn Kyrre Kausrud Lawrence R. Kirkendall Martin Malmstrøm Brett Kevin Sandercock Paul Ragnar Berg Kjetil Hindar Johanna Järnegren Erlend Birkeland Nilsen Eva Bonsak Thorstad Anders NielsenAbstract
This report examines how co-occurring non-native species can interact to create cumulative impacts on ecosystems. Non-native species may interact in additive, antagonistic, or synergistic ways. Through literature review, we found theoretical foundations and empirical examples showing that such interactions often occur. Synergistic interactions are of particular concern. Certain ecosystems appear particularly susceptible, including agricultural landscapes, urban environments, riparian systems, shipping-influenced marine areas, and islands with naïve fauna. We conclude that cumulative effects are ecologically important, and that it would be beneficial to incorporate multispecies interactions into risk assessments of non-native species in Norway.
Authors
Liv Guri VelleAbstract
Foredrag om den norske rødlista for naturtyper. Foredraget tar for seg hvordan rødlistingen foregår, IUCN-kriteriene, kunnskapsgjennomgang og hovedresultater. NAturtypen kystlynghei brukes som eksempel.
Authors
Linn VassvikAbstract
Agricultural production is highly dependent upon pollinators to achieve maximum yield and increase global food security. Wild pollinators, such as bees, are declining due to a loss of habitat from agricultural intensification, and the use of domesticated honeybees to supplement pollination services is increasing. Apple is an important, pollinator dependent food crop that commonly experiences pollination and production deficits worldwide. In this thesis, I explored whether pollination and production deficits occur in Norwegian apple orchards and what factors might be driving potential deficits. To test for pollination (seed set) and production (yield) deficits I conducted a supplemental pollination experiment for three cultivars, in eighteen orchards, in two distinct growing regions in Norway, over two years. I also assessed which pollinators are present in Norwegian apple orchards and how different groups of bees and their behaviour affect pollination of apple. Lastly, I studied different management practices to increase bee diversity and pollination success, by increasing alternate floral resources and evaluating orchard design that promotes cross-pollination. Pollination and production deficits were found across all locations, with differences in pollination deficits among cultivars. I also found that a high abundance of wild bees increases seed set in apples—a key indicator of pollination success. Behaviour also varied among bee groups, for example bumblebees visited more flowers, while solitary bees were slow, but potentially more thorough, foragers, which increases pollen deposition. Wild bees visited more apple flowers than dandelion flowers (Taraxacum spp.) when orchards were left unmowed. I also found that a higher abundance of dandelions increased bee visitation to apple flowers, suggesting higher floral diversity can increase pollination success and support a greater diversity of bees. In addition, block design orchards appear to limit cross-pollination among apple cultivars, and management actions to decrease the distance among compatible apple cultivars is needed to achieve sufficient pollination. Overall, my results suggest that greater pollination and production of apples in Norway is possible, and management actions should focus on increasing wild bee abundance and diversity, increasing alternate floral resources, and optimising orchard design to facilitate cross-pollination across shorter distances. Such actions have the potential to ensure greater yields of higher quality apples for human consumption and increased economic output for farmers.
Abstract
No abstract has been registered
2025
Authors
Magda KarloAbstract
No abstract has been registered
Authors
Markus A. K. Sydenham Anders Nielsen Yoko L. Dupont Claus Rasmussen Henning B. Madsen Marianne S. Torvanger Bastiaan StarAbstract
Pollinator conservation schemes typically focus on conserving existing, restoring degraded, or creating new wild bee habitats. Their effectiveness depends on dispersal corridors enabling habitat colonization by bees. However, the role of seminatural linear landscape structures (LLS) in connecting pollinator communities across intensively managed landscapes remains poorly understood. We analyzed 953 occurrences of wild bees comprising 79 nonparasitic species sampled at 68 study sites across a Norwegian and a Danish landscape. We first tested whether bee species richness was positively associated with the lengths of seminatural LLS in bee foraging ranges of study sites while controlling for local plant species richness. We then combined maps identifying seminatural LLS with least‐cost path (LCP) analysis to determine whether bee species compositional similarity, a proxy for connectivity, decreased as LCP length increased. The length of seminatural LLS, such as forest edges, was positively correlated with bee species richness and habitat connectivity. Specifically, wild bee species richness sampled along roadsides increased as the length of seminatural LLS increased in 1.5 km circles around the study sites, and increased as local plant species richness increased. The most likely dispersal routes between our bee communities tracked forest edges. The length of LCPs provided better models of bee species compositional similarity than geographic distance, suggesting that seminatural LLS, particularly forest edges, act as dispersal corridors in intensively managed landscapes. However, bee species compositional similarity among communities depended on site‐specific plant species richness and similarity in plant community composition, which highlights the importance of improving the habitat quality of seminatural LLS if they are to function as dispersal corridors. Our findings suggest that maps of LCPs can be used to identify important dispersal corridors between bee habitats and to direct wild bee habitat management actions along seminatural LLS to facilitate the dispersal of bees in intensively managed landscapes.
Authors
Timothy Ohlert Melinda D. Smith Scott L. Collins Alan K. Knapp Jeffrey S. Dukes Osvaldo Sala Kate D. Wilkins Seth M. Munson Maggie I. Anderson Meghan L. Avolio Anping Chen Meghan T. Hayden Martin C. Holdrege Ingrid J. Slette Peter Wilfahrt Claus Beier Lauchlan H. Fraser Anke Jentsch Michael E. Loik Yiqi Luo Fernando T. Maestre Richard P. Phillips Sally A. Power Laura Yahdjian Qiang Yu Angel Chen Andrew J. Felton Laureano A. Gherardi Nicholas J. Lyon Hamed Abdoli Mehdi Abedi Juan Alberti Antonio I. Arroyo Heidi Asbjornsen Harald Auge Seton Bachle Michael Bahn David C. Bartholomew Amgaa Batbaatar Taryn L. Bauerle Karen H. Beard Kai Behn Ilka Beil Lucio Biancari Irmgard Blindow Viviana Florencia Bondaruk Elizabeth T. Borer Edward W. Bork Carlos Martin Bruschetti Kerry M. Byrne James F. Cahill Dianela A. Calvo Michele Carbognani Cameron N. Carlyle Karen Castillioni Miguel Castillo-Garcia Manjunatha H. Chandregowda Scott X. Chang Jeff Chieppa Amber C. Churchill Marcus Vinicius Cianciaruso Amanda L Cordeiro Sara A. O. Cousins Daniela F. Cusack Sven Dahlke Pedro Daleo Lee H. Dietterich Maren Dubbert Nico Eisenhauer T’ai G. W. Forte Flavia A. Funk Darcy Galiano Aaron C. Greenville Liebao Han Siri Vatsø Haugum Yann Hautier Andy Hector Hugh A. L. Henry Daniela Hoss Forest Isbell Samuel E. Jordan Yuguang Ke Eugene F. Kelly Sally E. Koerner Juergen Kreyling György Kröel-Dulay Alicia I. Kröpfl Angelika Kübert Andrew Kulmatiski Eric G. Lamb Klaus Steenberg Larsen Steven Lee Smriti Pehim Limbu Anja Linstädter Shirong Liu Grisel Longo Alejandro Loydi Junwei Luan F. Curtis Lubbe Andrey V. Malyshev Cameron D. McIntire Daniel B. Metcalfe Malesela Vincent Mokoka Akira S. Mori Edwin Mudongo Gregory S. Newman Uffe N. Nielsen Raúl Ochoa-Hueso Rory C. O’Connor Romà Ogaya Gastón R. Oñatibia Ildikó Orbán Brooke B. Osborne Rafael Otfinowski Meelis Pärtel Jesús Pascual Josep Peñuelas Pablo L. Peri David S. Pescador Guadalupe Peter Alessandro Petraglia Catherine Picon-Cochard Valério D. Pillar Juan M. Piñeiro-Guerra Laura Weber Ploughe Robert M. Plowes Cristy Portales-Reyes Suzanne M. Prober Yolanda Pueyo Golsa Rahmati Sasha C. Reed Dana Aylén Rodríguez William E. Rogers Christiane Roscher David W. Rowley Ana M. Sánchez Bráulio A. Santos Michael P. Schellenberg Michael Scherer-Lorenzen Eric W. Seabloom Ruonan Shen Baoku Shi Lara Souza Andreas Stampfli Rachel J. Standish Marcelo Sternberg Wei Sun Marie Sünnemann Michelle Tedder Tyson J. Terry Pål Thorvaldsen Katja Tielbörger Maud Tissink Matthew A. Vadeboncoeur Alejandro Valdecantos Liesbeth van den Brink Vigdis Vandvik Liv Guri Velle Svenja Wanke Glenda M. Wardle Cunzheng Wei Christiane Werner Georg Wiehl Jennifer L. Williams Amelia A. Wolf Honghui Wu Chong Xu Xuechen Yang Yadong Yang Jenifer L. Yost Alyssa L. Young Ping Yue Juan M. Zeberio Michaela Zeiter Haiyang Zhang Juntao Zhu Xiaoan ZuoAbstract
As droughts become longer and more intense, impacts on terrestrial primary productivity are expected to increase progressively. Yet, some ecosystems appear to acclimate to multiyear drought, with constant or diminishing reductions in productivity as drought duration increases. We quantified the combined effects of drought duration and intensity on aboveground productivity in 74 grasslands and shrublands distributed globally. Ecosystem acclimation with multiyear drought was observed overall, except when droughts were extreme (i.e., ≤1-in-100-year likelihood of occurrence). Productivity losses after four consecutive years of extreme drought increased by ~2.5-fold compared with those of the first year. These results portend a foundational shift in ecosystem behavior if drought duration and intensity increase, from maintenance of reduced functioning over time to progressive and profound losses of productivity when droughts are extreme.
Authors
Adam Klimes Joseph Chipperfield Joachim Paul Töpper Marc Macias‐Fauria Marcus Spiegel Vigdis Vandvik Liv Guri Velle Alistair William Robin SeddonAbstract
A number of modelling frameworks exist to estimate resilience from ecological datasets. A subset of these frameworks seeks to estimate the whole ‘stability landscape', which can be used to calculate resilience and identify stable states and tipping points. These methods provide opportunities for insights into possible causes and consequences of variation in ecosystem resilience and dynamics. However, because such models can be complex to implement, there has so far been a substantial barrier to their application in ecological research. Here, we present the ‘mixglm' package for R software, which parametrizes stability landscapes using a mixture model approach. It provides tools for the calculation of resilience, identification of stable states and tipping points, as well as visualization functions. Flexible model specification allows the mean, precision, and probability of each mixture component to be linked to multiple predictors, such as environmental covariates. ‘mixglm' is based on Bayesian inference via NIMBLE and supports normal, beta, gamma, and negative binomial distributed response variables. We illustrate the use of ‘mixglm' with a published case of tree cover in South America, which reports a stability landscape with distinct stable states. Using ‘mixglm', we replicated the identification of these states. Moreover, we quantified the uncertainty of our estimates, and computed resilience estimates of South America's forests. We also conducted a power analysis to provide guidance regarding required sample sizes. ‘mixglm' can be readily used to describe stability landscapes and identify stable states in most spatial datasets, and it is accompanied by tools for the calculation of resilience estimates.