Tracking vegetation phenology of pristine northern boreal peatlands by combining digital photography with CO<sub>2</sub> flux and remote sensing data
<p>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 (CO<span class="inline-formul...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2022-10-01
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| Series: | Biogeosciences |
| Online Access: | https://bg.copernicus.org/articles/19/4747/2022/bg-19-4747-2022.pdf |
| _version_ | 1811241905856446464 |
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| author | M. Linkosalmi J.-P. Tuovinen O. Nevalainen M. Peltoniemi C. M. Taniş A. N. Arslan J. Rainne A. Lohila T. Laurila M. Aurela |
| author_facet | M. Linkosalmi J.-P. Tuovinen O. Nevalainen M. Peltoniemi C. M. Taniş A. N. Arslan J. Rainne A. Lohila T. Laurila M. Aurela |
| author_sort | M. Linkosalmi |
| collection | DOAJ |
| description | <p>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 (CO<span class="inline-formula"><sub>2</sub></span>) 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 CO<span class="inline-formula"><sub>2</sub></span> 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 (GPP<span class="inline-formula"><sub>max</sub></span>)
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 GPP<span class="inline-formula"><sub>max</sub></span> showed
consistent patterns, the short-term variation in GPP<span class="inline-formula"><sub>max</sub></span> 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.</p> |
| first_indexed | 2024-04-12T13:43:59Z |
| format | Article |
| id | doaj.art-a59fc3c789ac4f9786bfedb5fa8f1368 |
| institution | Directory Open Access Journal |
| issn | 1726-4170 1726-4189 |
| language | English |
| last_indexed | 2024-04-12T13:43:59Z |
| publishDate | 2022-10-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Biogeosciences |
| spelling | doaj.art-a59fc3c789ac4f9786bfedb5fa8f13682022-12-22T03:30:46ZengCopernicus PublicationsBiogeosciences1726-41701726-41892022-10-01194747476510.5194/bg-19-4747-2022Tracking vegetation phenology of pristine northern boreal peatlands by combining digital photography with CO<sub>2</sub> flux and remote sensing dataM. Linkosalmi0J.-P. Tuovinen1O. Nevalainen2M. Peltoniemi3C. M. Taniş4A. N. Arslan5J. Rainne6A. Lohila7T. Laurila8M. Aurela9Climate System Research, Finnish Meteorological Institute, 00560 Helsinki, FinlandClimate System Research, Finnish Meteorological Institute, 00560 Helsinki, FinlandClimate System Research, Finnish Meteorological Institute, 00560 Helsinki, FinlandBioeconomy and Environment, Natural Resources Institute Finland (Luke), 00790 Helsinki, FinlandArctic Space Centre, Finnish Meteorological Institute, 00560 Helsinki, FinlandArctic Space Centre, Finnish Meteorological Institute, 00560 Helsinki, FinlandClimate System Research, Finnish Meteorological Institute, 00560 Helsinki, FinlandClimate System Research, Finnish Meteorological Institute, 00560 Helsinki, FinlandClimate System Research, Finnish Meteorological Institute, 00560 Helsinki, FinlandClimate System Research, Finnish Meteorological Institute, 00560 Helsinki, Finland<p>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 (CO<span class="inline-formula"><sub>2</sub></span>) 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 CO<span class="inline-formula"><sub>2</sub></span> 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 (GPP<span class="inline-formula"><sub>max</sub></span>) 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 GPP<span class="inline-formula"><sub>max</sub></span> showed consistent patterns, the short-term variation in GPP<span class="inline-formula"><sub>max</sub></span> 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.</p>https://bg.copernicus.org/articles/19/4747/2022/bg-19-4747-2022.pdf |
| spellingShingle | M. Linkosalmi J.-P. Tuovinen O. Nevalainen M. Peltoniemi C. M. Taniş A. N. Arslan J. Rainne A. Lohila T. Laurila M. Aurela Tracking vegetation phenology of pristine northern boreal peatlands by combining digital photography with CO<sub>2</sub> flux and remote sensing data Biogeosciences |
| title | Tracking vegetation phenology of pristine northern boreal peatlands by combining digital photography with CO<sub>2</sub> flux and remote sensing data |
| title_full | Tracking vegetation phenology of pristine northern boreal peatlands by combining digital photography with CO<sub>2</sub> flux and remote sensing data |
| title_fullStr | Tracking vegetation phenology of pristine northern boreal peatlands by combining digital photography with CO<sub>2</sub> flux and remote sensing data |
| title_full_unstemmed | Tracking vegetation phenology of pristine northern boreal peatlands by combining digital photography with CO<sub>2</sub> flux and remote sensing data |
| title_short | Tracking vegetation phenology of pristine northern boreal peatlands by combining digital photography with CO<sub>2</sub> flux and remote sensing data |
| title_sort | tracking vegetation phenology of pristine northern boreal peatlands by combining digital photography with co sub 2 sub flux and remote sensing data |
| url | https://bg.copernicus.org/articles/19/4747/2022/bg-19-4747-2022.pdf |
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