<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Gross Primary Productivity (GPP) is the core component of the terrestrial and global carbon cycle and Earth’s climate research. In this study, GPP estimation was performed with the Boreal Ecosystem Productivity Simulator (BEPS) model to check its performance for hemi-boreal forests on the example of the Soontaga area in Estonia. The model was run by using a combination of remote sensing (leaf area index (LAI), clumping index) and meteorological data inputs (air temperature, global radiation, air humidity, precipitation and wind speed). The results were validated against GPP derived from the available flux tower measurements. The spatial representativeness of the site was evaluated using multiple spatial thresholds (500 m<sup>–2</sup> km), as well. We found that the BEPS model can track the GPP changes with the season and inter-annual variation very well in a coniferous hemi-boreal forest, given that good quality input data are provided.</p>
</abstract>

Gross Primary Productivity (GPP) is the core component of the terrestrial and global carbon cycle and Earth’s climate research. In this study, GPP estimation was performed with the Boreal Ecosystem Productivity Simulator (BEPS) model to check its performance for hemi-boreal forests on the example of the Soontaga area in Estonia. The model was run by using a combination of remote sensing (leaf area index (LAI), clumping index) and meteorological data inputs (air temperature, global radiation, air humidity, precipitation and wind speed). The results were validated against GPP derived from the available flux tower measurements. The spatial representativeness of the site was evaluated using multiple spatial thresholds (500 m–2 km), as well. We found that the BEPS model can track the GPP changes with the season and inter-annual variation very well in a coniferous hemi-boreal forest, given that good quality input data are provided.

Suitability of the boreal ecosystem simulator (BEPS) model for estimating gross primary productivity in hemi-boreal upland pine forest

Institute of Forestry and Rural Engineering

Forestry Studies

This work is licensed under the Creative Commons Attribution 4.0 International License.

Boreaalse ökosüsteemi simulaatori (BEPS) mudeli sobivus primaarproduktsiooni hindamiseks hemiboreaalsetes männimetsades

Gross Primary Productivity (GPP) is the core component of the terrestrial and global carbon cycle and Earth’s climate research. In this study, GPP estimation...

Suitability of the boreal ecosystem simulator (BEPS) model for estimating gross primary productivity in hemi-boreal upland pine forest

Article Category: Research paper

Published Online: Jun 04, 2022

Page range: 1 - 14

Received: Nov 08, 2021

Accepted: Dec 25, 2021

DOI: https://doi.org/10.2478/fsmu-2021-0008

Keywords
carbon, CO, GPP, BEPS, LAI, spatial representativeness, hemi-boreal forest

© 2021 Fariha Harun et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Suitability of the boreal ecosystem simulator (BEPS) model for estimating gross primary productivity in hemi-boreal upland pine forest

Article Category: Research paper

Published Online: Jun 04, 2022

Page range: 1 - 14

Received: Nov 08, 2021

Accepted: Dec 25, 2021

DOI: https://doi.org/10.2478/fsmu-2021-0008

Keywordscarbon, CO, GPP, BEPS, LAI, spatial representativeness, hemi-boreal forest

© 2021 Fariha Harun et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
carbon, CO, GPP, BEPS, LAI, spatial representativeness, hemi-boreal forest