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Modelling Net Ecosystem Exchange in the Biebrza Wetlands using satellite and meteorological data Cover

Modelling Net Ecosystem Exchange in the Biebrza Wetlands using satellite and meteorological data

Miscellanea Geographica
Volume 26 (2022): Issue 4 (October 2022)
By:
Open Access
|Oct 2022

Figures & Tables

Figure 1

Study area – Biebrza National Park and its buffer zone. Localization of measurement points: grasslands – bright green; reed communities – green; sedge communities - purple; red dots – measurement points. The background is a mosaic of Sentinel-2 images for Poland which was prepared in 2020. Available via WMS (IGiK, 2020)Source: own elaboration
Study area – Biebrza National Park and its buffer zone. Localization of measurement points: grasslands – bright green; reed communities – green; sedge communities - purple; red dots – measurement points. The background is a mosaic of Sentinel-2 images for Poland which was prepared in 2020. Available via WMS (IGiK, 2020)Source: own elaboration

Figure 2

Maximum values of PAR across daytime in growing season monthsSource: own elaboration
Maximum values of PAR across daytime in growing season monthsSource: own elaboration

Figure 3

Chamber measurements of CO2 flux on Biebrza Wetland in the period 2015–2022 in monthly cross-sections (means and twice standard deviation)Source: own elaboration
Chamber measurements of CO2 flux on Biebrza Wetland in the period 2015–2022 in monthly cross-sections (means and twice standard deviation)Source: own elaboration

Figure 4

Soil temperature (left) and soil moisture (right) measured in situ in Biebrza habitats in monthly cross-sections (means and 0.95 confidence interval)Source: own elaboration
Soil temperature (left) and soil moisture (right) measured in situ in Biebrza habitats in monthly cross-sections (means and 0.95 confidence interval)Source: own elaboration

Figure 5

Terra MODIS NDVI (left) and LST (right) in Biebrza habitat observation points from 2015–2022 in monthly cross-sections (means and 0.95 confidence interval)Source: own elaboration
Terra MODIS NDVI (left) and LST (right) in Biebrza habitat observation points from 2015–2022 in monthly cross-sections (means and 0.95 confidence interval)Source: own elaboration

Figure 6

Exponential dependency of Biebrza ecosystem respiration from air temperature during the RESP in situ measurementSource: own elaboration
Exponential dependency of Biebrza ecosystem respiration from air temperature during the RESP in situ measurementSource: own elaboration

Figure 7

Exponential dependency of Biebrza ecosystem respiration measured in situ and MODIS NDVI indexSource: own elaboration
Exponential dependency of Biebrza ecosystem respiration measured in situ and MODIS NDVI indexSource: own elaboration

Figure 8

Polynomial dependency of Biebrza ecosystem respiration versus soil moisture for sedges, grasses and reed habitatsSource: own elaboration
Polynomial dependency of Biebrza ecosystem respiration versus soil moisture for sedges, grasses and reed habitatsSource: own elaboration

Figure 9

Scatterplot for log-linear respiration model (4) and measured respirationSource: own elaboration
Scatterplot for log-linear respiration model (4) and measured respirationSource: own elaboration

Figure 10

A (left): Distributions of daytime and nighttime means of respiration calculated with the model (4) for chamber observation points. B (right): Distribution of nighttime values of respiration from EC tower measurements for the period May–SeptemberSource: own elaboration
A (left): Distributions of daytime and nighttime means of respiration calculated with the model (4) for chamber observation points. B (right): Distribution of nighttime values of respiration from EC tower measurements for the period May–SeptemberSource: own elaboration

Figure 11

A (left): Distributions of daytime means of NEE calculated with model (5a) for chamber observations at the points. B (right): Distribution of daytime values of CO2 flux from EC tower measurements over the period May–SeptemberSource: own elaboration
A (left): Distributions of daytime means of NEE calculated with model (5a) for chamber observations at the points. B (right): Distribution of daytime values of CO2 flux from EC tower measurements over the period May–SeptemberSource: own elaboration

Figure 12

Soil moisture on the Biebrza Wetlands area calculated with model (eq. 6)Source: own elaboration
Soil moisture on the Biebrza Wetlands area calculated with model (eq. 6)Source: own elaboration

Figure 13

NEE (left) and RESP (right) distribution maps calculated from satellite data as of 31.05.2019Source: own elaboration
NEE (left) and RESP (right) distribution maps calculated from satellite data as of 31.05.2019Source: own elaboration
DOI: https://doi.org/10.2478/mgrsd-2022-0013 | Journal eISSN: 2084-6118 | Journal ISSN: 0867-6046
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Language: English
Page range: 215 - 226
Submitted on: Jul 31, 2022
Accepted on: Aug 23, 2022
Published on: Oct 31, 2022
Published by: University of Warsaw
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
Wetlands,
CO flux,
NEE,
chamber measurements,
eddy covariance,
satellite images
Related subjects:
Geosciences,
Geography,
Geosciences, other

© 2022 Katarzyna Dąbrowska-Zielińska, Katarzyna Misiura, Alicja Malińska, Patryk Grzybowski, Radosław Gurdak, Maciej Bartold, Marcin Kluczek, published by University of Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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