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Multidecadal analysis of forest growth and albedo in boreal Finland
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SYSNO ASEP 0461647 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Multidecadal analysis of forest growth and albedo in boreal Finland Author(s) Lukeš, Petr (UEK-B) ORCID, SAI, RID
Stenberg, P. (FI)
Mottus, M. (FI)
Manninen, T. (FI)
Rautiainen, M. (FI)Source Title International Journal of Applied Earth Observation and Geoinformation. - : Elsevier - ISSN 0303-2434
Roč. 52, OCT (2016), s. 296-305Number of pages 10 s. Language eng - English Country NL - Netherlands Keywords Albedo ; fAPAR ; LAI ; NDVI ; Time series ; Seasonal trends ; Forest structure Subject RIV EH - Ecology, Behaviour R&D Projects LM2010007 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) LO1415 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Research Infrastructure CzeCOS II - 90061 - Ústav výzkumu globální změny AV ČR, v. v. i. Institutional support RVO:67179843 - RVO:67179843 UT WOS 000383003500027 EID SCOPUS 84997840804 DOI 10.1016/j.jag.2016.07.001 Annotation It is well known that forests serve as carbon sinks. In the last 30 years, there has been a steady increase in the growing stock of Finnish forests by nearly a quarter while the area of the forests has remained virtually unchanged. Such increase in forest density together with the availability of detailed forest inventories provided by the Multi-Source National Forest Inventory (MS-NFI) in high spatial resolution makes Finland an ideal candidate for exploring the effects of increased forest density on satellite derived estimates of bio-geochemical products e.g. albedo (directional-hemispherical reflectance, DHR), fraction of photosynthetically active radiation absorbed by canopies (fAPAR), leaf area index (LAI) and normalized difference vegetation index (NDVI) in both current and long-term perspective. In this study, we first used MODIS-based vegetation satellite products for Finnish forests to study their seasonal patterns and interrelations. Next, the peak growing season observations are linked to the MS-NFI database to yield the generic relationships between forest density and the satellite-derived vegetation indicators. Finally, long-term GIMMS3g datasets between 1982 and 2011 (2008 for DHR) are analyzed and interpreted using forest inventory data. The vegetation peak growing season NIR DHR and VIS DHR showed weak to moderate negative correlation with fAPAR, whereas there was no correlation between NIR DHR and fAPAR. Next, we show that the spectral albedos in the near-infrared region (NIR DHR) showed weak negative correlation with forest biomass, basal area or canopy cover whereas, as expected, the spectral albedo in the visible region (VIS DHR) correlated negatively with these measures of forest density. Interestingly, the increase in forest density (biomass per ha) of Finnish forests during the last 30 years was not accompanied by trends in the indicators of vegetation ‘greenness’ and photosynthetic productivity (fAPAR, LAI and NDVI) or in forest albedo (DHR). Workplace Global Change Research Institute Contact Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Year of Publishing 2017
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