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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.

2020

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In the last two decades, attention on forests and ownership rights has increased in different domains of international policy, particularly in relation to achieving the global sustainable development goals. This paper looks at the changes in forest-specific legislation applicable to regular productive forests, across 28 European countries. We compare the legal framework applicable in the mid-1990s with that applicable in 2015, using the Property Rights Index in Forestry (PRIF) to measure changes across time and space. The paper shows that forest owners in most western European countries already had high decision-making power in the mid-1990s, following deregulation trends from the 1980s; and for the next two decades, distribution of rights remained largely stable. For these countries, the content and direction of changes indicate that the main pressure on forest-focused legislation comes from environmental discourses (e.g. biodiversity and climate change policies). In contrast, former socialist countries in the mid-1990s gave lower decision-making powers to forest owners than in any of the Western Europe countries; over the next 20 years these show remarkable changes in management, exclusion and withdrawal rights. As a result of these changes, there is no longer a clear line between western and former socialist countries with respect to the national governance systems used to address private forest ownership. Nevertheless, with the exception of Baltic countries which have moved towards the western forest governance system, most of the former socialist countries still maintain a state-centred approach in private forest management. Overall, most of the changes we identified in the last two decades across Europe were recorded in the categories of management rights and exclusion rights. These changes reflect the general trend in European forest policies to expand and reinforce the landowners’ individual rights, while preserving minimal rights for other categories of forest users; and to promote the use of financial instruments when targeting policy goals related to the environmental discourse.

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Within the last decade, implementing eight key principles of Integrated Pest Management (IPM) has become mandatory for all professional users of pesticides in the European Union (EU) and European Economic Area (EEA). Meanwhile, evidence of the level of implementation is lacking. In this study, the adoption of IPM principles among Norwegian grain farmers was measured using a novel IPM index based on self-reported levels of performing IPM practices. Three IPM experts weighted the principles and practices included in the index. They found prevention and suppression to be the most important principle, followed by monitoring and decisionmaking, while pesticide selection and evaluation were deemed least important. A survey of 1250 farmers showed that the principles with the highest adoption rates were evaluation and anti-resistance strategies, while non-chemical methods and reduced pesticide use had the lowest adoption rates. The results support previous suggestions that more complex principles, requiring a larger set of practices, are less readily adopted than those that are less complex. Nevertheless, the index scores showed that most Norwegian grain farmers are extensively practicing IPM; 75% of the respondents obtained scores between 60 and 80 on a 100-point scale, with an average score of 68. In the Norwegian context, it is more relevant to discuss the varying use of IPM rather than how to increase adoption in general.

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This paper analyses two strategies to reduce the use of pesticides in grain production. We study Norwegian farmers’ willingness to voluntarily forego income by reducing pesticide use as well as their responses to a doubling of the pesticide price (through increased pesticide taxes). We use mixed methods including an experiment, a survey and focus group discussions. The experiment shows that most farmers are willing to sacrifice some income to reduce environmental risks by using less pesticide. According to the survey, they are, at the same time, relatively insensitive to a 100% price increase on herbicides and fungicides. While the response to the price increase probably would have been stronger if differentiated between chemicals, our research indicates potential benefits from supporting voluntary action. Value orientations and agronomic conditions influence the stated responses in both circumstances. Respondents emphasizing environmental values are more willing to voluntarily reduce pesticide use and show a greater response to the economic incentive than farmers emphasizing economic outcome and issues such as clean fields. A hypothesized willingness to reduce pesticide use voluntarily to strengthen the reputation of the sector was, however, rejected. Farmers appear to have few alternatives to pesticides, but increased knowledge about the alternatives that do exist, seems able to promote some change. Our findings suggest that the extension service should put greater emphasis on these options, even if they may have negative effects on income.

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RapidSCAN is a portable active canopy sensor with red, red-edge, and near infrared spectral bands. The objective of this study is to develop and evaluate a RapidSCAN sensor-based precision nitrogen (N) management (PNM) strategy for high-yielding rice in Northeast China. Six rice N rate experiments were conducted from 2014 to 2016 at Jiansanjiang Experiment Station of China Agricultural University in Northeast China. The results indicated that the sensor performed well for estimating rice yield potential (YP0) and yield response to additional N application (RIHarvest) at the stem elongation stage using normalized difference vegetation index (NDVI) (R2 = 0.60–0.77 and relative error (REr) = 6.2–8.0%) and at the heading stage using normalized difference red edge (NDRE) (R2 = 0.70–0.82 and REr = 7.3–8.7%). A new RapidSCAN sensor-based PNM strategy was developed that would make N recommendations at both stem elongation and heading growth stages, in contrast to previously developed strategy making N recommendation only at the stem elongation stage. This new PNM strategy could save 24% N fertilizers, and increase N use efficiencies by 29–35% as compared to Farmer N Management, without significantly affecting the rice grain yield and economic returns. Compared with regional optimum N management, the new PNM strategy increased 4% grain yield, 3–10% N use efficiencies and 148 $ ha−1 economic returns across years and varieties. It is concluded that the new RapidSCAN sensor-based PNM strategy with two in-season N recommendations using NDVI and NDRE is suitable for guiding in-season N management in high-yield rice management systems. Future studies are needed to evaluate this RapidSCAN sensor-based PNM strategy under diverse on-farm conditions, as well as to integrate it into high-yield rice management systems for food security and sustainable development.

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The dynamic interactions between soil, weather and crop management have considerable influences on crop yield within a region, and should be considered in optimizing nitrogen (N) management. The objectives of this study were to determine the influence of soil type, weather conditions and planting density on economic optimal N rate (EONR), and to evaluate the potential benefits of site-specific N management strategies for maize production. The experiments were conducted in two soil types (black and aeolian sandy soils) from 2015 to 2017, involving different N rates (0 to 300 kg ha−1) with three planting densities (55,000, 70,000, and 85,000 plant ha−1) in Northeast China. The results showed that the average EONR was higher in black soil (265 kg ha−1) than in aeolian sandy soil (186 kg ha−1). Conversely, EONR showed higher variability in aeolian sandy soil (coefficient of variation (CV) = 30%) than in black soil (CV = 10%) across different weather conditions and planting densities. Compared with farmer N rate (FNR), applying soil-specific EONR (SS-EONR), soil- and year-specific EONR (SYS-EONR) and soil-, year-, and planting density-specific EONR (SYDS-EONR) would significantly reduce N rate by 25%, 30% and 38%, increase net return (NR) by 155 $ ha−1, 176 $ ha−1, and 163 $ ha−1, and improve N use efficiency (NUE) by 37–42%, 52%, and 67–71% across site-years, respectively. Compared with regional optimal N rate (RONR), applying SS-EONR, SYS-EONR and SYDS-EONR would significantly reduce N application rate by 6%, 12%, and 22%, while increasing NUE by 7–8%, 16–19% and 28–34% without significantly affecting yield or NR, respectively. It is concluded that soil-specific N management has the potential to improve maize NUE compared with both farmer practice and regional optimal N management in Northeast China, especially when each year’s weather condition and planting density information is also considered. More studies are needed to develop practical in-season soil (site)-specific N management strategies using crop sensing and modeling technologies to better account for soil, weather and planting density variation under diverse on-farm conditions.