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.
2023
Forfattere
Yi Zhang Yijing Feng Zhonghao Ren Runguo Zuo Tianhui Zhang Yeqing Li Yajing Wang Zhiyang Liu Ziyan Sun Yongming Han Lu Feng Mortaza Aghbashlo Meisam Tabatabaei Junting PanSammendrag
The ideal conditions for anaerobic digestion experiments with biochar addition are challenging to thoroughly study due to different experimental purposes. Therefore, three tree-based machine learning models were developed to depict the intricate connection between biochar properties and anaerobic digestion. For the methane yield and maximum methane production rate, the gradient boosting decision tree produced R2 values of 0.84 and 0.69, respectively. According to feature analysis, digestion time and particle size had a substantial impact on the methane yield and production rate, respectively. When particle sizes were in the range of 0.3–0.5 mm and the specific surface area was approximately 290 m2/g, corresponding to a range of O content (>31%) and biochar addition (>20 g/L), the maximum promotion of methane yield and maximum methane production rate were attained. Therefore, this study presents new insights into the effects of biochar on anaerobic digestion through tree-based machine learning.
Sammendrag
Artificial freezing tests were performed on seedlings from Norway spruce families at the end of the first growing season. Similar tests were made on twigs collected from trees in a progeny test at the end of growing season nine. The 26 families in the early test were included in the short-term progeny test with 100 full-sib families from a 10 x 10 factorial cross. All families were also planted in seven field trials in Norway, Sweden and Finland, from which data on mortality, tree heights and stem damage at age 10 years are available. Significant difference was found among families for freezing test injuries on whole intact seedlings at the end of the first growing season and for lethal temperature of needles on detached twigs collected at the end of growing season nine. However, no relationships were found between the freezing test scores of families in the two types of tests or few between these scores and the traits measured in the short-term and field trials. The results show that frost hardiness testing of families at a young age, grown under artificial temperature and light conditions in nursery, is a weak predictor of their performance under natural conditions in field at older ages.
Forfattere
Ana Vuković Vimić Mirjam Vujadinović Mandić Milica Fotirić Akšić Ksenija Vukićević Mekjell MelandSammendrag
Agricultural production is already, and obviously, affected by climate change. Adapting to climate change includes reducing future risks to ensure yield quality and quantity and considers seizing any potential opportunities induced by climate change. In higher latitude areas, such as Norway, cold climate limits the cultivation of fruits. An increase in temperature offers more favorable conditions for fruit production. In this study, using available phenological observations (full blooming) and harvest dates, and meteorological data from the experimental orchard of NIBIO Ullensvang, the minimum heat requirements for growing different apple varieties are determined. Those criteria are used for zoning of the areas with heat favorable conditions for apple growing. Data on six varieties were used, with lower and higher requirements for heat for fruit development (Discovery, Gravenstein, Summerred, Aroma, Rubinstep, and Elstar). High resolution daily temperature data were generated and used for zoning of the areas with heat favorable conditions for apple growing within the selected domain, which includes Western Norway, Southern Norway, Eastern Norway, and the western part of Trøndelag, Mid-Norway. Dynamics of the change in such surfaces was assessed for the period of 1961–2020. The total surface with favorable heat conditions for growing the varieties with lesser requirement for heat increased three times during this period. The growing of more heat-demanding varieties increased from near zero to about 2.5% of the studied land surface. In the period of 2011–2020, surface area with favorable heat conditions for apple growing was almost 27,000 km2, and a surface area of about 4600 km2 can sustain growing of more heat-demanding varieties. The presented results show the increasing potential of the climate of Norway for apple cultivation and highlight the importance of implementation of fruit production planned according to climate change trends, including the assessment of potential risks from climate hazards. However, the methodology for determining heat requirements can be improved by using phenological ripening dates if available, rather than harvest dates which are impacted by human decision. Zoning of areas with the potential of sustainable apple growing requires the use of future climate change assessments and information on land-related features.
Sammendrag
Wetlands are simply areas that are fully or partially saturated with water. Not much attention has been given to wetlands in the past, due to the unawareness of their value to the general public. However, wetlands have numerous hydrological, ecological, and social values. They play an important role in interactions among soil, water, plants, and animals. The rich biodiversity in the vicinity of wetlands makes them invaluable. Therefore, the conservation of wetlands is highly important in today’s world. Many anthropogenic activities damage wetlands. Climate change has adversely impacted wetlands and their biodiversity. The shrinking of wetland areas and reducing wetland water levels can therefore be frequently seen. However, the opposite can be seen during stormy seasons. Since wetlands have permissible water levels, the prediction of wetland water levels is important. Flooding and many other severe environmental damage can happen when these water levels are exceeded. Therefore, the prediction of wetland water level is an important task to identify potential environmental damage. However, the monitoring of water levels in wetlands all over the world has been limited due to many difficulties. A Scopus-based search and a bibliometric analysis showcased the limited research work that has been carried out in the prediction of wetland water level using machine-learning techniques. Therefore, there is a clear need to assess what is available in the literature and then present it in a comprehensive review. Therefore, this review paper focuses on the state of the art of water-level prediction techniques of wetlands using machine-learning techniques. Nonlinear climatic parameters such as precipitation, evaporation, and inflows are some of the main factors deciding water levels; therefore, identifying the relationships between these parameters is complex. Therefore, machine-learning techniques are widely used to present nonlinear relationships and to predict water levels. The state-of-the-art literature summarizes that artificial neural networks (ANNs) are some of the most effective tools in wetland water-level prediction. This review can be effectively used in any future research work on wetland water-level prediction.
Forfattere
Jorge Aldea Miren del Rio Nicolas Cattaneo José Riofrío Cristóbal Ordóñez Sara Uzquiano Felipe BravoSammendrag
Thinning treatments along with the establishment of mixed forest stands have been put forward as possible adaptation strategies to cope with climate change, although the effectiveness of combining these two measures has scarcely been studied and may vary depending on stand conditions and the thinning regime employed. The aim of this study was to better understand the effect of commercial thinning and of the different growth behavior of two coexisting species on their inter- and intra-annual cumulative radial increment patterns. For this purpose, we studied radial increment in a Scots pine-Pyrenean oak (Pinus sylvestris L.-Quercus pyrenaica Willd.) Mediterranean mixed forest in north-west Spain over two climatically contrasting years (2016–2017). The data came from a thinning trial consisting of a randomized latin square design with a control and two commercial thinning treatments from below; one moderate and the other heavy, removing 25% and 50 % of initial basal area, respectively, of both species. The radial increment was analyzed based on bi-weekly readings from band dendrometers installed on 90 oak and pine trees. A non-linear mixed model based on double-Richards curve was fitted to explore the differences between thinning treatments and species response in the intra-annual cumulative radial increment patterns. Inter-annual basal area increments for each species at stand level were quantified by aggregating the tree estimates obtained from the model fitted in the first step. Tree and stand level growth were greater in Scots pine, which also showed a greater growth response to early spring droughts than the Pyrenean oak. Heavy thinning increased radial increment in trees of both species at the expense of decreased total stand basal area. At species level, basal area growth in Scots pine decreased through thinning, whereas for Pyrenean oak, the heavy thinning intensity resulted in the same basal area growth as the control. Thus, heavy thinning induced a trade-off between total stand growth and tree-level response to climatic conditions for Scots pine but with no loss in productivity in the case of the Pyrenean oak. Hence, heavy thinning may be an appropriate measure to attain productive stability of the oak coppice in the studied mixed forest as well as to adapt tree growth to future droughts associated with climate change.
Sammendrag
Formålet med denne rapporten er å gi en metodebeskrivelse med oppsummering av resultater for ti faktaark (vedlegg til denne rapporten), ett for hver av nedbørfeltene: (1) Borrevannet, (2) ‘Storelva, Dalselva og Undrumsdal’, (3) Merkedamselva, (4) Byfjorden, Vellebekken og Søndre Slagen, (5)Færder, (6)Akersvannet, (7) Vårnesbekken, Rovebekken, Unnebergsbekken og Haslebekken, (8) Istrevassdraget - Ula, (9) Vikfjord og (10) Brunlanes. Tilførsler av totalfosfor til elvene er dominert av arealavrenning fra jordbruksarealer og utslipp fra avløp. Tiltak som vil ha umiddelbar effekt på tilførslene omfatter blant annet oppgradering av private avløpsanlegg, overvintring i stubb på jordbruksarealer, grasdekte vannveier og kantsoner, og etablering av fangdammer. På lengre sikt er redusert gjødsling med fosfor også et viktig tiltak.
Forfattere
Marianne BechmannSammendrag
Program for jord- og vannovervåking i landbruket (JOVA) ledes av NIBIO divisjon for miljø og naturressurser og gjennomføres i samarbeid med Divisjon for bioteknologi og plantehelse, flere av forskningsstasjonene i NIBIO og andre institusjoner. JOVA overvåker jordbruksdominerte nedbørfelt over hele landet, og feltene representerer ulike driftsformer og ulike jordbunns-, hydrologiske og klimatiske forhold. JOVA rapporterer årlig om jordbruksdrift, avrenning og tap av partikler, næringsstoffer og plantevernmidler for hvert nedbørfelt. Tap av partikler og næringsstoffer rapporteres for agrohydrologisk år, 1. mai – 1. mai, og tap av plantevernmidler for kalenderår.
Forfattere
Marianne BechmannSammendrag
Program for jord- og vannovervåking i landbruket (JOVA) ledes av NIBIO divisjon for miljø og naturressurser og gjennomføres i samarbeid med Divisjon for bioteknologi og plantehelse, flere av forskningsstasjonene i NIBIO og andre institusjoner. JOVA overvåker jordbruksdominerte nedbørfelt over hele landet, og feltene representerer ulike driftsformer og ulike jordbunns-, hydrologiske og klimatiske forhold. JOVA rapporterer årlig om jordbruksdrift, avrenning og tap av partikler, næringsstoffer og plantevernmidler for hvert nedbørfelt. Tap av partikler og næringsstoffer rapporteres for agrohydrologisk år, 1. mai – 1. mai, og tap av plantevernmidler for kalenderår.
Sammendrag
Denne rapporten presenterer oppdaterte bonitetskurver og produksjonstabeller for jevnaldrende renbestand av gran og furu, og gjelder for innlandsstrøk i Norge inkludert Nordland og Troms og Finnmark for furu. Vekstforholdene over hele Norge har endret seg vesentlig de siste 50 årene, og de oppdaterte bonitetskurvene og produksjonstabellene har blitt utviklet for å reflektere det. De oppdaterte bonitetskurvene er basert på totalalder, med en basisalder på 40 år. I forhold til de bonitetskurvene som er i bruk i dag, viser de oppdaterte bonitetskurvene en forlenget økt overhøydevekst, slik at de dermed når større overhøyder ved høye bestandsalder for begge studerte treslag. Oppdaterte produksjonstabeller har blitt utledet for forskjellige boniteter, utgangstettheter og tynningsscenarioer. Tabellene representerer både vanlige forvaltningsalternativer og ulike andre alternativer som kan være av interesse. Sammenligning av de oppdaterte produksjonstabellene med de som er i bruk i dag avslører til dels betydelige forskjeller, inkludert høyere netto volumproduksjon i de nye tabellene for utynnede bestand av begge treslag og nesten alle bonitetsklasser.
Sammendrag
Her presenteres resultater fra en undersøkelse av forekomst av miljøgifter/ plantevernmidler ekstrahert fra insekter samlet i Malaisefeller i den løpende nasjonale insektovervåkingen. Undersøkelsen er gjennomført av NIBIO på oppdrag fra Miljødirektoratet via det NINA-koordinerte prosjektet Hotspots for trua arter på land: kartlegging med digitale verktøy. Vi har fokusert på kjemiske syntetiske plantevernmidler som brukes i jord- og hagebruk for å belyse problematikk knyttet til funn av miljøgifter i oppsamlingsvæsken i et utvalg av insektfellene. Det er videre gjort en vurdering av hvordan en overvåking som skal si noe om plantevernmidlers påvirkning på insektforekomst (og diversitet) bør utformes. For fullt sammendrag se side 4.