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.
2019
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S. 26 i https://www.iufro.org/fileadmin/material/publications/proceedings-archive/20209-ctre-proceedings-19.pdf
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Based on data from long-term experimental fields with Norway spruce (Picea abies (L.) H. Karst.), we developed new stem taper and bark functions for Norway. Data was collected from 477 trees in stands across Norway. Three candidate functions which have shown good performance in previous studies (Kozak 02, Kozak 97 and Bi) were fitted to the data as fixed-effects models. The function with the smallest Akaike Information Criterion (AIC) was then chosen for additional analyses, fitting 1) site index-dependent and 2) age-dependent versions of the model, and 3) fitting a mixed-effects model with tree-specific random parameters. Kozak 97 was found to be the function with the smallest AIC, but all three tested taper functions resulted in fairly similar predictions of stem taper. The site index-dependent function reduced AIC and residual standard error and showed that the effect of site index on stem taper is different in small and large trees. The predictions of the age-independent and age-dependent models were very close to each other. Adding tree-specific random parameters to the model clearly reduced AIC and residual variation. However, the results suggest that the mixed-effects model should be used only when it is possible to calibrate it for each tree, otherwise the fixed-effects Kozak 97 model should be used. A model for double bark thickness was also fitted as fixed-effects Kozak 97 model. The model behaved logically, predicting larger relative but smaller absolute bark thickness for small trees.
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Celine Rebours Nina Pereira Kvadsheim Matthias Koesling Jon Halfdanarson Bjørn Tore Nystrand Jan Sunde Jan EmblemsvågAbstract
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Purpose of Review The adoption of Structure from Motion photogrammetry (SfM) is transforming the acquisition of three-dimensional (3D) remote sensing (RS) data in forestry. SfM photogrammetry enables surveys with little cost and technical expertise. We present the theoretical principles and practical considerations of this technology and show opportunities that SfM photogrammetry offers for forest practitioners and researchers. Recent Findings Our examples of key research indicate the successful application of SfM photogrammetry in forestry, in an operational context and in research, delivering results that are comparable to LiDAR surveys. Reviewed studies have identified possibilities for the extraction of biophysical forest parameters from airborne and terrestrial SfM point clouds and derived 2D data in area-based approaches (ABA) and individual tree approaches. Additionally, increases in the spatial and spectral resolution of sensors available for SfM photogrammetry enable forest health assessment and monitoring. The presented research reveals that coherent 3D data and spectral information, as provided by the SfM workflow, promote opportunities to derive both structural and physiological attributes at the individual tree crown (ITC) as well as stand levels. Summary We highlight the potential of using unmanned aerial vehicles (UAVs) and consumer-grade cameras for terrestrial SfM-based surveys in forestry. Offering several spatial products from a single sensor, the SfM workflow enables foresters to collect their own fit-for-purpose RS data. With the broad availability of non-expert SfM software, we provide important practical considerations for the collection of quality input image data to enable successful photogrammetric surveys.
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No abstract has been registered
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Ahmad Romadhoni Surya Putra Tomasz Gerard Czekaj Mogens LundAbstract
The aim of this paper was to determine the factors influencing biogas adoption as a livestock waste management among smallholder farmers in Indonesia. The study emphasized the positive influence of farmer engagement on the technology transfer process. A cross-sectional survey was conducted in Yogyakarta Province, Indonesia by involving 351 respondents who were smallholder practicing the Mixed Crops and Livestock (MCL) farming from 2013 to 2014. The results of Logit regression showed that the biogas technology adoption in Indonesia was influenced by attainment of formal education, women involvement in decision making, number of cattle in the household, household’s income, availability of biogas instalment funding, and the degree of connectedness to stakeholders in the agricultural technology transfer system. The study concluded that the availability of biogas installation funding and better engagement to the technology transfer stakeholders positively influenced the biogas technology adoption among MCL farmers.
Authors
Arne Verstraeten Elena Gottardini Nicolas Bruffaerts Bruno De Vos Elena Vanguelova Fabiana Cristofolini Sue Benham Pasi Rautio Liisa Ukonmaanaho Päivi Merilä Annika Saarto Peter Waldner Marijke Hendrickx Gerrit Genouw Peter Roskams Nathalie Cools Johan Neirynck Anita Nussbaumer Mathias Neumann Nicholas Clarke Volkmar Timmermann Karin Hansen Hans-Peter Dietrich Manuel Nicolas Maria Schmitt Anne Thimonier Katrin Meusburger Silvio Schüler Anna KowalskaAbstract
No abstract has been registered