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.
2024
Forfattere
Anders Ræbild Kesara Anamthawat-Jónsson Ulrika Egertsdotter Juha Immanen Anna Monrad Jensen Athina Koutouleas Helle Jakobe Martens Kaisa Nieminen Jill Katharina Olofsson Anna-Catharina Röper Jarkko Salojärvi Martina Strömvik Mohammad Vatanparast Adam Vivian-SmithSammendrag
Polyploidy, or genome doubling, has occurred repeatedly through plant evolution. While polyploid plants are used extensively in agriculture and horticulture, they have so far found limited use in forestry. Here we review the potentials of polyploid trees under climate change, and investigate if there is support for increased use. We find that polyploid trees like other plants have consistent increases in cell sizes compared to diploids, and that leaf-area based rates of photosynthesis tend to increase with increasing levels of ploidy. While no particular trend could be discerned in terms of biomass between trees of different ploidy levels, physiology is affected by polyploidization and several studies point towards a high potential for polyploid trees to adapt to drought stress. The ploidy level of most tree species is unknown, and analysis of geographical patterns in frequencies of polyploid trees are inconclusive. Artificial polyploid trees are often created by colchicine and in a few cases these have been successfully applied in forestry, but the effects of induced polyploidization in many economically important tree species remains untested. Polyploids would also be increasingly useful in tree breeding programs, to create synthetic hybrids or sterile triploids that could control unwanted spreading of germplasm in nature. In conclusion, this review suggests that polyploid trees may be superior under climate change in some cases, but that the potential of polyploids is not yet fully known and should be evaluated on a case-to-case basis for different tree species.
Forfattere
Erico Kutchartt José Ramón González-Olabarria Núria Aquilué Jordi Garcia-Gonzalo Antoni Trasobares Brigite Botequim Marius Hauglin Palaiologos Palaiologou Vassil Vassilev Adrian Cardil Miguel Ángel Navarrete Christophe Orazio Francesco PirottiSammendrag
Det er ikke registrert sammendrag
Forfattere
Erico Kutchartt José Ramón González-Olabarria Antoni Trasobares Núria Aquilué Juan Guerra-Hernández Leónia Nunes Ana Catarina Sequeira Brigite Botequim Marius Hauglin Palaiologos Palaiologou Adrian Cardil Martino Rogai Vassil Vassilev Francois Pimont Olivier Martin-Ducup Francesco PirottiSammendrag
Canopy base height (CBH) and canopy bulk density (CBD) are forest canopy fuel parameters that are key for modeling the behavior of crown wildfires. In this work, we map them at a pan-European scale for the year 2020, producing a new dataset consisting of two raster layers containing both variables at an approximate resolution of 100 m. Spatial data from Earth observation missions and derived down-stream products were retrieved and processed using artificial intelligence to first estimate a map of aboveground biomass (AGB). Allometric models were then used to estimate the spatial distribution of CBH using the canopy height values as explanatory variables and CBD using AGB values. Ad-hoc allometric models were defined for this study. Data provided by FIRE-RES project partners and acquired through field inventories was used for validating the final products using an independent dataset of 804 ground-truth sample plots. The CBH and CBD raster maps have, respectively, the following accuracy regarding specific metrics reported from the modeling procedures: (i) coefficient of correlation (R) of 0.445 and 0.330 (p-value < 0.001); (ii) root mean square of error (RMSE) of 3.9 m and 0.099 kg m−3; and (iii) a mean absolute percentage error (MAPE) of 61% and 76%. Regarding CBD, the accuracy metrics improved in closed canopies (canopy cover > 80%) to R = 0.457, RMSE = 0.085, and MAPE = 59%. In short, we believe that the degree of accuracy is reasonable in the resulting maps, producing CBH and CBD datasets at the pan-European scale to support fire mitigation and crown fire simulations.
Forfattere
Knut ØistadSammendrag
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Forfattere
Knut ØistadSammendrag
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Knut ØistadSammendrag
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Knut ØistadSammendrag
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Knut ØistadSammendrag
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Knut ØistadSammendrag
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Forfattere
Knut ØistadSammendrag
Det er ikke registrert sammendrag