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

Dąbrowska-Zielińska Katarzyna (), Misiura Katarzyna (), Malińska Alicja (), Grzybowski Patryk (), Gurdak Radosław (), Bartold Maciej () and Kluczek Marcin ()
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Dąbrowska-Zielińska Katarzyna: Remote Sensing Centre, Institute of Geodesy and Cartography, Warsaw, Poland
Misiura Katarzyna: Remote Sensing Centre, Institute of Geodesy and Cartography, Warsaw, Poland
Malińska Alicja: Remote Sensing Centre, Institute of Geodesy and Cartography, Warsaw, Poland
Grzybowski Patryk: Institute of Geophysics, Faculty of Physics, University of Warsaw, Warsaw, Poland
Gurdak Radosław: Remote Sensing Centre, Institute of Geodesy and Cartography, Warsaw, Poland
Bartold Maciej: Remote Sensing Centre, Institute of Geodesy and Cartography, Warsaw, Poland
Kluczek Marcin: Remote Sensing Centre, Institute of Geodesy and Cartography, Warsaw, Poland

Miscellanea Geographica. Regional Studies on Development, 2022, vol. 26, issue 4, 215-226

Abstract: The CO2 flux on Biebrza Wetlands in Poland is analysed by ground measurements and satellite data. The main goal of this study was to determine the Net Ecosystem Exchange (NEE) for sedges, reeds and grasses using meteorological, soil and vegetation parameters and satellite indicators. The calculations are based on chamber measurements scattered over the main habitats and meteorological registrations, and compared to the 2015–2022 eddy covariance (EC) measurements. The NEE model, to get its distribution throughout the day, was elaborated using modelled gross primary production GPP and modelled respiration RESP. The model of ecosystem respiration was developed applying air temperature, soil temperature, soil moisture and NDVI. The satellite vegetation index NDVI, surface and air difference temperature (TS-TA), and NDII proved to be good predictors for the daily mean GPP. The data from the EC tower was used to compare the results from modelled NEE and CO2 flux.

Keywords: Wetlands; CO2 flux; NEE; chamber measurements; eddy covariance; satellite images (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:mgrsod:v:26:y:2022:i:4:p:215-226:n:7

DOI: 10.2478/mgrsd-2022-0013

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