Biosequestration of greenhouse gases in forest ecosystems based on data of SMEAR station in Järvselja

• Main Author: Kinževskaja, Julia
• Other Authors: Noe, Steffen M.
• Format: Master Thesis
• Language: unknown
• Published: Eesti Maaülikool 2021
• Subjects: magistritööd; master thesis; carbon sink; net ecosystem exchange; greenhouse gas concentration; carbon bioseques-tration; SMEAR station Järvselja; Green University (thesis is related to EMÜ Green University iniciative’s aims); environment; sustainability; sustainable development; South Pole; South pole; Tundra
• Online Access: http://hdl.handle.net/10492/6622

Master Thesis Environmental management and policy specialty IPCC special report ‘Climate Change and Land’ indicates forest ecosystems as one of the most cost-efficient and feasible carbon dioxide biosequestration measure to achieve global warming level under 2°C (IPCC 2018). Aim of this thesis work is to research for-est ecosystem’s influence on greenhouse gas concentrations and estimate forest ecosys-tem’s capacity to biosequestrate (on an examle of forest in Järvselja). This research was made on the base of data from mesuring sites Integrated Carbon Observation System (ICOS), National oceanic and atmospheric administration (NOAA) and SMEAR Järvselja. The data was analysed by data science methodology and instruments – Python programming language, Jypiter environment, Mathlab toolbox and Panda library. The results of work show that forest ecosystems do biosequestrate more greenhouse gases than they emmit overall, however on a yearly perspective it is not always so. There are many factors influencing the greenhouse gas concentration and biosequestration capacity localy, alhough the CO2 concentration is ricing from South pole to Finnish tundra with nearly the same speed (0.5% - 1% per year). This aspect should be researched further in order to elaborate efficient methods in land use globaly, as it seems that local solutions do not influence the local greenhouse gas concentrations. The compare of gross primary production of forests in Estonia, Finland and Sweden correspond to the previous researches of SMEAR stations and confirm that it falls from south latitudes to the north ones. That may indicate a possible increase of gross primary production due to global climate warming. Results of this work also incourage to use more widely data science methods for environmental researches, as different mesuring sites around the world (including Estonia) provide sufficient and userfriendly data for that. IPCC eriaruandes „Kliimamuutused ja maa” on metsaökosüsteemid toodud ühe kõige kulutõhusama ja teostatavama ...