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.
2016
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Forfattere
Wenche Dramstad Vibeke Stærkebye Nørstebø Svein Olav Krøgli Misganu Debella-Gilo Gerardo A Pérez-ValdésSammendrag
Aim: Identify where bioeconomic development would best be located to maximise both local resources and the reusable waste from potentially collaborating sectors. We seek to answer the questions like Where are the best locations for bioeconomic clusters and how should this be assessed? What are the tradeoffs, how can they be mapped and described, and are there any general major obstacles? What are the conditions that would aid in developing a smart bioeconomy and what are the spatial implications of different developments?
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Gisela Lüscher Youssef Ammari Aljona Andriets Siyka Angelova Michaela Arndorfer Debra Bailey Katalin Balázs Marion Bogers R.G.H. Bunce Jean-Philippe Choisis Peter Dennis Mario Díaz Tetyana Dyman Sebastian Eiter Wendy FjellstadSammendrag
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Forfattere
Ilse R. Geijzendorffer Stefano Targetti Manuel K. Schneider Dick J. Brus Philippe Jeanneret Robert H.G. Jongman Martin Knotters Davide Viaggi Siyka Angelova Michaela Arndorfer Debra Bailey Katalin Balázs András Báldi Marion M.B. Bogers Robert G.H. Bunce Jean-Philippe Choisis Peter Dennis Sebastian Eiter Wendy Fjellstad Jürgen K. Friedel Tiziano Gomiero Arjan Griffioen Max Kainz Anikó Kovács-Hostyánszki Gisela Lüscher Gerardo Moreno Juri Nascimbene Maurizio G. Paoletti Philippe Pointereau Jean-Pierre Sarthou Norman Siebrecht Igor Staritsky Siyka Stoyanova Sebastian Wolfrum Felix HerzogSammendrag
1.To evaluate progress on political biodiversity objectives, biodiversity monitoring provides information on whether intended results are being achieved. Despite scientific proof that monitoring and evaluation increase the (cost) efficiency of policy measures, cost estimates for monitoring schemes are seldom available, hampering their inclusion in policy programme budgets. 2.Empirical data collected from 12 case studies across Europe were used in a power analysis to estimate the number of farms that would need to be sampled per major farm type to detect changes in species richness over time for four taxa (vascular plants, earthworms, spiders and bees). A sampling design was developed to allocate spatially, across Europe, the farms that should be sampled. 3.Cost estimates are provided for nine monitoring scenarios with differing robustness for detecting temporal changes in species numbers. These cost estimates are compared with the Common Agricultural Policy (CAP) budget (2014–2020) to determine the budget allocation required for the proposed farmland biodiversity monitoring. 4.Results show that the bee indicator requires the highest number of farms to be sampled and the vascular plant indicator the lowest. The costs for the nine farmland biodiversity monitoring scenarios corresponded to 0·01%–0·74% of the total CAP budget and to 0·04%–2·48% of the CAP budget specifically allocated to environmental targets. 5.Synthesis and applications. The results of the cost scenarios demonstrate that, based on the taxa and methods used in this study, a Europe-wide farmland biodiversity monitoring scheme would require a modest share of the Common Agricultural Policy budget. The monitoring scenarios are flexible and can be adapted or complemented with alternate data collection options (e.g. at national scale or voluntary efforts), data mobilization, data integration or modelling efforts.
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