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Tracking vegetation phenology of pristine northern boreal peatlands by combining digital photography with CO2 flux and remote sensing data

Authors :
M. Linkosalmi
J.-P. Tuovinen
O. Nevalainen
M. Peltoniemi
C. M. Taniş
A. N. Arslan
J. Rainne
A. Lohila
T. Laurila
M. Aurela
Source :
Biogeosciences, Vol 19, Pp 4747-4765 (2022)
Publication Year :
2022
Publisher :
Copernicus Publications, 2022.

Abstract

Vegetation phenology, which refers to the seasonal changes in plant physiology, biomass and plant cover, is affected by many abiotic factors, such as precipitation, temperature and water availability. Phenology is also associated with the carbon dioxide (CO2) exchange between ecosystems and the atmosphere. We employed digital cameras to monitor the vegetation phenology of three northern boreal peatlands during five growing seasons. We derived a greenness index (green chromatic coordinate, GCC) from the images and combined the results with measurements of CO2 flux, air temperature and high-resolution satellite data (Sentinel-2). From the digital camera images it was possible to extract greenness dynamics on the vegetation community and even species level. The highest GCC and daily maximum gross photosynthetic production (GPPmax) were observed at the site with the highest nutrient availability and richest vegetation. The short-term temperature response of GCC depended on temperature and varied among the sites and months. Although the seasonal development and year-to-year variation in GCC and GPPmax showed consistent patterns, the short-term variation in GPPmax was explained by GCC only during limited periods. GCC clearly indicated the main phases of the growing season, and peatland vegetation showed capability to fully compensate for the impaired growth resulting from a late growing season start. The GCC data derived from Sentinel-2 and digital cameras showed similar seasonal courses, but a reliable timing of different phenological phases depended upon the temporal coverage of satellite data.

Details

Language :
English
ISSN :
47472022, 17264170, and 17264189
Volume :
19
Database :
Directory of Open Access Journals
Journal :
Biogeosciences
Publication Type :
Academic Journal
Accession number :
edsdoj.59fc3c789ac4f9786bfedb5fa8f1368
Document Type :
article
Full Text :
https://doi.org/10.5194/bg-19-4747-2022