Spatial variation and seasonal dynamics of leaf-area index in the arctic tundra-implications for linking ground observations and satellite images

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Juutinen , S , Virtanen , T , Kondratyev , V , Laurila , T , Linkosalmi , M , Mikola , J , Nyman , J , Rasanen , A , Tuovinen , J-P & Aurela , M 2017 , ' Spatial variation and seasonal dynamics of leaf-area index in the arctic tundra-implications for linking ground observations and satellite images ' , Environmental Research Letters , vol. 12 , no. 9 , 095002 . https://doi.org/10.1088/1748-9326/aa7f85

Title: Spatial variation and seasonal dynamics of leaf-area index in the arctic tundra-implications for linking ground observations and satellite images
Author: Juutinen, Sari; Virtanen, Tarmo; Kondratyev, Vladimir; Laurila, Tuomas; Linkosalmi, Maiju; Mikola, Juha; Nyman, Johanna; Rasanen, Aleksi; Tuovinen, Juha-Pekka; Aurela, Mika
Contributor: University of Helsinki, Environmental Sciences
University of Helsinki, Environmental Sciences
University of Helsinki, Environmental Sciences
University of Helsinki, Environmental Sciences
Date: 2017-08
Language: eng
Number of pages: 10
Belongs to series: Environmental Research Letters
ISSN: 1748-9326
URI: http://hdl.handle.net/10138/220942
Abstract: Vegetation in the arctic tundra typically consists of a small-scale mosaic of plant communities, with species differing in growth forms, seasonality, and biogeochemical properties. Characterization of this variation is essential for understanding and modeling the functioning of the arctic tundra in global carbon cycling, as well as for evaluating the resolution requirements for remote sensing. Our objective was to quantify the seasonal development of the leaf-area index (LAI) and its variation among plant communities in the arctic tundra near Tiksi, coastal Siberia, consisting of graminoid, dwarf shrub, moss, and lichen vegetation. We measured the LAI in the field and used two very-high-spatial resolution multispectral satellite images (QuickBird and WorldView-2), acquired at different phenological stages, to predict landscape-scale patterns. We used the empirical relationships between the plant community-specific LAI and degree-day accumulation (0 degrees C threshold) and quantified the relationship between the LAI and satellite NDVI (normalized difference vegetation index). Due to the temporal difference between the field data and satellite images, the LAI was approximated for the imagery dates, using the empirical model. LAI explained variation in the NDVI values well (R-adj.(2) 0.42-0.92). Of the plant functional types, the graminoid LAI showed the largest seasonal amplitudes and was the main cause of the varying spatial patterns of the NDVI and the related LAI between the two images. Our results illustrate how the short growing season, rapid development of the LAI, yearly climatic variation, and timing of the satellite data should be accounted for in matching imagery and field verification data in the Arctic region.
Subject: arctic
multispectral
LAI
VHSR
vegetation
PLANT FUNCTIONAL TYPES
SIBERIAN TUNDRA
CO2 EXCHANGE
VEGETATION
ECOSYSTEMS
RESOLUTION
ALASKA
COVER
PHOTOSYNTHESIS
COMMUNITIES
1181 Ecology, evolutionary biology
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