Jonathan Rizzi
Forsker
(+47) 483 47 537
jonathan.rizzi@nibio.no
Sted
Ås - Bygg O43
Besøksadresse
Oluf Thesens vei 43, 1433 Ås (Varelevering: Elizabeth Stephansens vei 21)
Vedlegg
List of PublicationsBiografi
De viktigste forskningsområdene er bruk av GIS i flere miljøsektorer, inkludert klimaendringer, forurenset grunn og vannkvalitet. Bidratt til utvikliing av GIS-baserte verktøy som Spatial Decision Support System konsekvensutredning for klimaendringer (DESYCO) og WebGIS for klimadata. Har også jobbet med metoder og tilpasningstiltak for å møte klimaendringene ved kystsoner. Arbeidserfaring fra MultiCriteria Decision Analysis (MCDA).
I de siste årene har han deltatt i internasjonale samarbeidsprosjekter i utviklingsland.
Sammendrag
Peat inversion is a management technique used to reduce emissions and retain carbon in cultivated peatland while allowing for effective forage production. Although maps and land registers document the presence of cultivated peatland that is suitable for peat inversion, these data do not cover all regions of interest. This study explores how an expert system and geostatistical modelling can be used to identify cultivated peatland suitable for peat inversion. The expert system proved to work moderately well for cultivable (but not for cultivated) peatland. Geostatistical modelling, using cultivable peatland as statistical support, gave good results in regions with large, continuous landforms. The results were less accurate in regions with rough, rapidly shifting terrain forms and where peatland was less frequent. The difference could be seen in the range and shape of the semivariograms. Geostatistical modelling can be used to identify cultivated peatland suitable for peat inversion in regions where the semivariogram shows a clear and well-defined spatial autocorrelation structure.
Forfattere
Junbin Zhao Holger Lange Christian Wilhelm Mohr Cornelya Klutsch Simon Weldon Jonathan Rizzi Gunnhild Søgaard Hanna Marika Silvennoinen Teresa Gómez de la BárcenaSammendrag
Jordrespirasjonsmålinger på Svanhovd og dens modellering
Sammendrag
I dette prosjektet har vi undersøkt om satellittdata og automatisk bildeanalyse kan benyttes til å identifisere åkerareal der utviklingen i vegetasjonen gjennom vekstsesongen er særlig ujevn. Prosjektet har utviklet en algoritme som identifiserte slike «anomalier». Det viste seg imidlertid at vi fant en større variasjon innenfor jordbruksarealene enn forventet. Denne variasjonen gjorde det vanskeligere å finne jordbruksarealer som inneholdt «anomalier» etter vår definisjon.
Divisjon for kart og statistikk
Pan-European Network of Green Deal Agriculture and Forestry Earth Observation Science (PANGEOS)
The sustainability of Europe’s green resources are threatened by climate change associated environmental changes. Agricultural systems and forests are among the ecosystems mostly interlinked with human health and wellbeing due to the socio-economic services they provide.
Divisjon for kart og statistikk
Considering the Environment and Nature when Building and Operating Ground Mounted Solar Power Plants in Norway
EnviSol's mission is to harmonize the growth of ground-mounted solar power plants in Norway with the imperative to protect biodiversity and ecosystem services. With renewable energy production, preserving nature, and supporting ecosystems all in mind, EnviSol aims to pinpoint the ideal methods and locations for these solar installations, mitigating clashes over land use.
Divisjon for miljø og naturressurser
CANALLS Agroecological practices for sustainable transition
Agroecology covers all activities and actors involved in food systems. It also places the well-being of people (producers and consumers of crops and products) at its core. The EU-funded CANALLS project will focus on the agroecological zones and diverse farming systems in the humid tropics of Central and Eastern Africa. It will explore the complex environmental, social and economic challenges, which in some cases are exacerbated by conflict and high vulnerability. Moreover, it will advance agroecological transitions in these regions through multi-actor transdisciplinary agroecology Living Labs at eight sites in four countries. The focus will be on crops such as cocoa, coffee and cassava, which are vital for subsistence and economic development.