Publikasjoner
NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.
2021
Sammendrag
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Forfattere
Habtamu AlemSammendrag
Purpose The study measures the technology gap and performance of the Norwegian dairy farms accounting for farm heterogeneity. Design/methodology/approach The analysis was based on a meta-frontier and unbalanced farm-level panel data for 1991–2014 from 417 Norwegian farms specialized in dairy production in five regions of Norway. Findings The result of the analysis provides empirical evidence of regional differences in technical efficiencies, technological gap ratios (TGRs) and input use. Consequently, the paper provides some insights into policies to increase the efficiency of dairy production in the country across all regions. Research limitations/implications The author used a meta-frontier approach for modeling regional differences based on a single-output production function specification. This approach has commonly been used in the economics literature since Battese et al. (2004). To get more informative and useful results, it would be necessary to repeat the analysis within terms of multiple input-output frameworks using, for instance, the input distance function approach. Moreover, the author estimated the meta-frontier using the non-parametric approach, thus it is also a need for further analysis if the values are different by estimating using a parametric approach. Practical implications One implication for farmers (and their advisers) is that dairy farms in all regions used available technology in the area sub-optimally. Thus, those lagging the best-performing farms need to look at the way the best-performing farmers are operating. Policymakers might reduce the gap is through training, including sharing information about relevant technologies from one area to another, provided that the technologies being shared fit the working environment of the lagging area. Moreover, some of the dairy technologies they use may not fit other regions, suggesting that agricultural policies that aim to encourage efficient dairy production, such as innovation of improved technology (like breeding, bull selection and improved feed varieties) through research and development, need to account the environmental differences between regions. Social implications For both taxpayers and consumers, one implication is that the contributions they pay that go to subsidize dairy farmers appear to bring some benefits in terms of more efficient milk production that, in turn, increases the supply of some foods so possibly making food prices more affordable. Originality/value The paper contributes to the literature in several ways. In contrast to Battese et al. (2004), the author accounts for farm-level performance differences by applying the model devised by Greene (2005), thus may serve as a model for future studies at more local levels or of other industries. Moreover, the author is fortunate to able to use a large level farm-level panel data from 1991 to 2014.
Forfattere
Matthias Vanmaercke Panos Panagos Tom Vanwalleghem Antonio Hayas Saskia Foerster Pasquale Borrelli Mauro Rossi Dino Torri Javier Casali Lorenzo Borselli Olga Vigiak Michael Maerker Nigussie Haregeweyn Sofie De Geeter Wojciech Zglobicki Charles Bielders Artemi Cerdà Christian Conoscenti Tomas de Figueiredo Bob Evans Valentin Golosov Ion Ionita Christos Karydas Adam Kertesz Josef Krasa Caroline Le Bouteiller Maria Radoane Ratko Ristic Svetla Rousseva Milos Stankoviansky Jannes Stolte Christian Stolz Rebecca Bartley Scott Wilkinson Ben Jarihani Jean PoesenSammendrag
Soil erosion is generally recognized as the dominant process of land degradation. The formation and expansion of gullies is often a highly significant process of soil erosion. However, our ability to assess and simulate gully erosion and its impacts remains very limited. This is especially so at regional to continental scales. As a result, gullying is often overlooked in policies and land and catchment management strategies. Nevertheless, significant progress has been made over the past decades. Based on a review of >590 scientific articles and policy documents, we provide a state-of-the-art on our ability to monitor, model and manage gully erosion at regional to continental scales. In this review we discuss the relevance and need of assessing gully erosion at regional to continental scales (Section 1); current methods to monitor gully erosion as well as pitfalls and opportunities to apply them at larger scales (section 2); field-based gully erosion research conducted in Europe and European Russia (section 3); model approaches to simulate gully erosion and its contribution to catchment sediment yields at large scales (section 4); data products that can be used for such simulations (section 5); and currently existing policy tools and needs to address the problem of gully erosion (section 6). Section 7 formulates a series of recommendations for further research and policy development, based on this review. While several of these sections have a strong focus on Europe, most of our findings and recommendations are of global significance.
Sammendrag
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Forfattere
Marit Skuterud VennatrøSammendrag
Formålet med kartleggingsprogrammet «Skadegjørere i potet» er å få kunnskap om status med hensyn til forekomst av planteskadegjørerne lys ringråte (Clavibacter michigaensis spp.), mørk ringråte (Rastonia solancearum), rotgallnematodene Meloidogyne chitwoodi og M. fallax samt potetkreft (Synchytrium endobioticum) i norsk produksjon av mat- og industripotet. Denne rapporten omhandler status for rotgallnematodene. Rotgallnematoder (Meloidogyne spp.) er en stor gruppe obligate planteparasittære som finnes over hele verden. Skadene etter rotgallnematoder forringer både kvalitet og avling, og gir store avlingstap på verdensbasis. M. chitwoodi og M. fallax har mange vertsplanter, og er vanskelige å bekjempe dersom de etablerer seg. Derfor ansees disse artene som alvorlige planteskadegjørere, og som en trussel mot europeisk potet og gulrot produksjon. Både M. chitwoodi og M. fallax er påvist i Europa i begrenset omfang. Begge artene de senere årene funnet i Sverige. M. chitwoodi og M. fallax er ikke påvist i Norge, men det er risiko for at begge artene kan etablere seg og gjøre omfattende skade i norsk potet- og gulrotproduksjon….
Forfattere
Tonje Økland Siri Lie Olsen Rune HalvorsenSammendrag
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Sammendrag
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Sammendrag
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Forfattere
Markus A. K. Sydenham Zander Venter Trond Reitan Claus Rasmussen Astrid Brekke Skrindo Daniel Ingvar Jeuderan Skoog Kaj-Andreas Hanevik Stein Joar Hegland Yoko L. Dupont Anders Nielsen Joseph Chipperfield Graciela RuschSammendrag
1. Predicting plant–pollinator interaction networks over space and time will improve our understanding of how environmental change is likely to impact the functioning of ecosystems. Here we propose a framework for producing spatially explicit predictions of the occurrence and number of pairwise plant–pollinator interactions and of the species richness, diversity and abundance of pollinators visiting flowers. We call the framework ‘MetaComNet’ because it aims to link metacommunity dynamics to the assembly of ecological networks. 2. To illustrate the MetaComNet functionality, we used a dataset on bee–flower networks sampled at 16 sites in southeast Norway along with random forest models to predict bee–flower interactions. We included variables associated with climatic conditions (elevation) and habitat availability within a 250 m radius of each site. Regional commonness, site-specific distance to conspecifics, social guild and floral preference were included as bee traits. Each plant species was assigned a score reflecting its site-specific abundance, and four scores reflecting the bee species that the plant family is known to attract. We used leave-one-out cross-validations to assess the models' ability to predict pairwise plant–bee interactions across the landscape. 3. The relationship between observed occurrence or absence of interactions and the predicted probability of interactions was nearly proportional (GLMlogistic regression slope = 1.09), matching the data well (AUC = 0.88), and explained 30% of the variation. Predicted probability of interactions was also correlated with the number of observed pairwise interactions (r = 0.32). The sum of predicted probabilities of bee–flower interactions were positively correlated with observed species richness (r = 0.50), diversity (r = 0.48) and abundance (r = 0.42) of wild bees interacting with plant species within sites. 4. Our findings show that the MetaComNet framework can be a useful approach for making spatially explicit predictions and mapping plant–pollinator interactions. Such predictions have the potential to identify areas where the pollination potential for wild plants is particularly high, and where conservation action should be directed to preserve this ecosystem function. interactions, network, plants, pollinators, predict, random forest
Sammendrag
Det er ikke registrert sammendrag