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.
2020
Abstract
Protected Areas (PAs) in Tanzania had been established originally for the goal of habitat, landscape and biodiversity conservation. However, human activities such as agricultural expansion and wood harvesting pose challenges to the conservation objectives. We monitored a decade of deforestation within 708 PAs and their unprotected buffer areas, analyzed deforestation by PA management regimes, and assessed connectivity among PAs. Data came from a Landsat based wall-to-wall forest to non-forest change map for the period 2002–2013, developed for the definition of Tanzania’s National Forest Reference Emissions Level (FREL). Deforestation data were extracted in a series of concentric bands that allow pairwise comparison and correlation analysis between the inside of PAs and the external buffer areas. Half of the PAs exhibit either no deforestation or significantly less deforestation than the unprotected buffer areas. A small proportion (10%; n = 71) are responsible for more than 90% of the total deforestation; but these few PAs represent more than 75% of the total area under protection. While about half of the PAs are connected to one or more other PAs, the remaining half, most of which are Forest Reserves, are isolated. Furthermore, deforestation inside isolated PAs is significantly correlated with deforestation in the unprotected buffer areas, suggesting pressure from land use outside PAs. Management regimes varied in reducing deforestation inside PA territories, but differences in protection status within a management regime are also large. Deforestation as percentages of land area and forested areas of PAs was largest for Forest Reserves and Game Controlled areas, while most National Parks, Nature Reserves and Forest Plantations generally retained large proportions of their forest cover. Areas of immediate management concern include the few PAs with a disproportionately large contribution to the total deforestation, and the sizeable number of PAs being isolated. Future protection should account for landscapes outside protected areas, engage local communities and establish new PAs or corridors such as village-managed forest areas.
Abstract
No abstract has been registered
Abstract
No abstract has been registered
Authors
Xiao Huang Mats Höglind Akanegbu Justice Knut Bjørkelo Torben Christensen Kjetil Fadnes Teresa Gómez de la Bárcena Per-Erik Jansson Åsa Kasimir Bjørn Kløve Anders Lyngstad Mikhail Mastepanov Hannu Marttila Marcel Van Oijen Ina Pohle Jagadeesh Yeluripati Hanna Marika SilvennoinenAbstract
Cultivated organic soils account for ~7% of Norway’s agricultural land area, and they are estimated to be a significant source of greenhouse gas (GHG) emissions. The project ‘Climate smart management practices on Norwegian organic soils’ (MYR), commissioned by the Research Council of Norway (decision no. 281109), aims to evaluate GHG (e.g. carbon dioxide, methane and nitrous oxide) emissions and impacts on biomass productivity from three land use types (cultivated, abandoned and restored) on organic soils. At the cultivated sites, impacts of drainage depth and management intensity will be measured. We established experimental sites in Norway covering a broad range of climate and management regimes, which will produce observational data in high spatiotemporal resolution during 2019-2022. Using state-of-the-art modelling techniques, MYR aims to predict the potential GHG mitigation under different scenarios (e.g. different water table depth, management practices and climate pattern). Four models (BASGRA, DNDC, Coup and ECOSSE) will be further developed according to the physical/chemical properties of peat soil and then used independently in simulating biogeochemical processes and biomass dynamics in the different land uses. Robust parameterization schemes for each model to improve the predictive accuracy will be derived from a new dataset collected from multiple experimental sites in the Nordic region. Thereafter, the models will be used in the regional simulation to present the spatial heterogeneity in large scale. Eventually, a multi-model ensemble prediction will be carried out to provide scenario analyses by 2030 and 2050. By integrating experimental results and modelling, the project aims at generating useful information for recommendations on environment-friendly use of Norwegian peatlands.
Authors
Christer Magnusson Ari Hietala Per Hansen Eva Solbjørg Flo Heggem Irene Rasmussen Birgit Schaller Marte Persdatter Tangvik Ben Z HellalAbstract
I 2019 års kartlegging av furuvednematoden Bursaphelenchus xylophilus i Norge ble 400 prøver tatt fra hogstavfall og vindfall av Pinus sylvestris L. med angrep av furubukk Monochamus spp. Prøvene ble tatt ut i Akershus, Buskerud, Østfold, Telemark, Aust-Agder og Vest-Agder. Prøvene som besto av flis ble inkubert ved +25oC i to uker før de ble ekstrahert med Baermanntrakt og undersøkt i mikroskop. Furuvednematoden B. xylophilus ble ikke påvist i prøvene, men den naturlig forekommende arten Bursaphelenchus mucronatus kolymensis ble oppdaget i fire prøver fra Agderfylkene. Feller med feromoner for fangst av furubukk ble satt opp i Hedmark (Elverum, Romedal, Stange og ved Geitholmsjøen), Møre og Romsdal (Kvanne) og Østfold (Fredrikstad og Vestby). I laboratoriet ble billene kuttet i biter og ekstrahert med en modifisert Baermanntrakt. Suspensjonen fra ekstraksjonene ble undersøkt i stereomikroskop for forekomst av infektive stadier av Bursaphelenchus spp.. Ingen nematoder kunne påvises i de 106 undersøkte billene. I perioden 2000 – 2019 er totalt 8123 vedprøver analysert. Flest prøver er tatt i Østfold, fulgt av Hedmark, Telemark, Buskerud og Aust-Agder. I kartleggingen 2019 ble B. mucronatus kolymensis påvist i fire av de 400 vedprøvene, tilsvarende en frekvens på 0,01 (1 %). For hele perioden 2000 - 2019 ble Bursaphelenchus mucronatus kolymensis + B. macromucronatus, oppdaget i 73 av 8123 vedprøver som gir en eteksjonsfrekvens på 0,009 (ca. 1 %). I perioden 2014-2019 har Bursaphelenchus mucronatus kolymensis blitt påvist fem av totalt 581 biller, som gir den samme frekvensen som for vedprøver. B. mucronatus kolymensis og B. macromucronatus likner på B. xylophilus i generell biologi og habitatvalg. Hvis vi antar en hypotetisk frekvens i forekomsten til B. xylophilus som er 100 ganger lavere enn for disse naturlig forekommende nematodene, dvs. 0,00009, kan det antall prøver som trengs for en påvisning av B. xylophilus med 95 % konfidensintervall estimeres til 30 801. Dette indikerer at vi i dag hypotetisk sett har nådd bare 26 % av det antall prøver som trengs for å kunne erklære Norge fri for furuvednematoden B. xylophilus.
2019
Abstract
No abstract has been registered
Authors
Valentina Gallina Silvia Torresan Alex Zabeo Jonathan Rizzi Sandro Carniel Mauro Sclavo Lisa Pizzol Antonio Marcomini Andrea CrittoAbstract
Coastal erosion is an issue of major concern for coastal managers and is expected to increase in magnitude and severity due to global climate change. This paper analyzes the potential consequences of climate change on coastal erosion (e.g., impacts on beaches, wetlands and protected areas) by applying a Regional Risk Assessment (RRA) methodology to the North Adriatic (NA) coast of Italy. The approach employs hazard scenarios from a multi-model chain in order to project the spatial and temporal patterns of relevant coastal erosion stressors (i.e., increases in mean sea-level, changes in wave height and variations in the sediment mobility at the sea bottom) under the A1B climate change scenario. Site-specific environmental and socio-economic indicators (e.g., vegetation cover, geomorphology, population) and hazard metrics are then aggregated by means of Multi-Criteria Decision Analysis (MCDA) with the aim to provide an example of exposure, susceptibility, risk and damage maps for the NA region. Among seasonal exposure maps winter and autumn depict the worse situation in 2070–2100, and locally around the Po river delta. Risk maps highlight that the receptors at higher risk are beaches, wetlands and river mouths. The work presents the results of the RRA tested in the NA region, discussing how spatial risk mapping can be used to establish relative priorities for intervention, to identify hot-spot areas and to provide a basis for the definition of coastal adaptation and management strategies.
Authors
Jonathan RizziAbstract
No abstract has been registered
Authors
Juraj Parajka Nejc Bezak John Burkhart Bjarki Hauksson Ladislav Holko Yeshewa Hundecha Michal Jenicek Pavel Krajčí Walter Mangini Peter Molnar Philippe Riboust Jonathan Rizzi Aynur Sensoy Guillaume Thirel Alberto ViglioneAbstract
This study evaluates MODIS snow cover characteristics for large number of snowmelt runoff events in 145 catchments from 9 countries in Europe. The analysis is based on open discharge daily time series from the Global Runoff Data Center database and daily MODIS snow cover data. Runoff events are identified by a base flow separation approach. The MODIS snow cover characteristics are derived from Terra 500 m observations (MOD10A1 dataset, V005) in the period 2000–2015 and include snow cover area, cloud coverage, regional snowline elevation (RSLE) and its changes during the snowmelt runoff events. The snowmelt events are identified by using estimated RSLE changes during a runoff event. The results indicate that in the majority of catchments there are between 3 and 6 snowmelt runoff events per year. The mean duration between the start and peak of snowmelt runoff events is about 3 days and the proportion of snowmelt events in all runoff events tends to increase with the maximum elevation of catchments. Clouds limit the estimation of snow cover area and RSLE, particularly for dates of runoff peaks. In most of the catchments, the median of cloud coverage during runoff peaks is larger than 80%. The mean minimum RSLE, which represents the conditions at the beginning of snowmelt events, is situated approximately at the mean catchment elevation. It means that snowmelt events do not start only during maximum snow cover conditions, but also after this maximum. The mean RSLE during snowmelt peaks is on average 170 m lower than at the start of the snowmelt events, but there is a large regional variability.
Abstract
No abstract has been registered