The need for high-resolution GIS and remote sensing data sets: lessons learned from circumpolar CO2 flux synthesis
|Theme||3. Meteorological Cooperation|
|Session Name||3.1 Opportunities and challenges of remote sensing techniques to meet current and future needs for monitoring the Arctic|
|Datetime||Sep 07, 2018 01:25 PM - 01:40 PM (UTC +3)|
|Author(s)||Anna-Maria Virkkala (University of Helsinki, Finland), Torbern Tagesson (Lund University, Sweden), Miska Luoto (University of Helsinki, Finland)|
Climate warming changes the high-latitude carbon dioxide (CO2) uptake (gross primary production, GPP) and release (ecosystem respiration, ER), and therefore also the CO2 balance (net ecosystem exchange, NEE). Yet, GPP, ER, and NEE are spatially highly variable, thus responding differently to environmental changes. This variation is relatively well understood within plot and landscape scales but not at the circumpolar scale. Here, we synthesize studies with annual or growing season CO2 flux budgets of GPP, ER and NEE published in 126 articles between 1990-2017 in tundra and boreal ecosystems. We describe the environmental conditions covered by the sites (n=136), and study the spatial variation of fluxes. To explore the drivers of the spatial variation, we extracted environmental data from open high-resolution (200-1000 meters) GIS or remote sensing data sets. We ran a generalized additive model (GAM) for each flux budget with mean annual temperatures, summertime normalized difference vegetation index, topsoil pH and topographical wetness index as explanatory variables. This presentation shows preliminary results of the analysis and sheds light on what ecologically relevant data sets are not yet available for circumpolar studies.
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