Environmental Effects on Normalized Gross Primary Productivity in Beech and Norway Spruce Forests

The strong effects of climate change are expected to negatively impact the long-term resilience and function of forest ecosystems, which could lead to changes in forest carbon balance and productivity. However, these forest responses may vary with local conditions and forest types. Accordingly, this...

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Main Authors: Caleb Mensah, Ladislav Šigut, Milan Fischer, Lenka Foltýnová, Georg Jocher, Otmar Urban, Cosmos Senyo Wemegah, Emmanuel K. Nyantakyi, Shilpi Chawla, Marian Pavelka, Michal V. Marek
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/12/9/1128
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spelling doaj-10b791bc3fdb4fd38e4d9b1ad5255d6a2021-09-25T23:43:12ZengMDPI AGAtmosphere2073-44332021-09-01121128112810.3390/atmos12091128Environmental Effects on Normalized Gross Primary Productivity in Beech and Norway Spruce ForestsCaleb Mensah0Ladislav Šigut1Milan Fischer2Lenka Foltýnová3Georg Jocher4Otmar Urban5Cosmos Senyo Wemegah6Emmanuel K. Nyantakyi7Shilpi Chawla8Marian Pavelka9Michal V. Marek10Global Change Research Institute CAS, Bĕlidla 986/4a, 603 00 Brno, Czech RepublicGlobal Change Research Institute CAS, Bĕlidla 986/4a, 603 00 Brno, Czech RepublicGlobal Change Research Institute CAS, Bĕlidla 986/4a, 603 00 Brno, Czech RepublicGlobal Change Research Institute CAS, Bĕlidla 986/4a, 603 00 Brno, Czech RepublicGlobal Change Research Institute CAS, Bĕlidla 986/4a, 603 00 Brno, Czech RepublicGlobal Change Research Institute CAS, Bĕlidla 986/4a, 603 00 Brno, Czech RepublicEarth Observation Research and Innovation Centre, University of Energy and Natural Resources, Sunyani P.O. Box 214, GhanaEarth Observation Research and Innovation Centre, University of Energy and Natural Resources, Sunyani P.O. Box 214, GhanaGlobal Change Research Institute CAS, Bĕlidla 986/4a, 603 00 Brno, Czech RepublicGlobal Change Research Institute CAS, Bĕlidla 986/4a, 603 00 Brno, Czech RepublicGlobal Change Research Institute CAS, Bĕlidla 986/4a, 603 00 Brno, Czech RepublicThe strong effects of climate change are expected to negatively impact the long-term resilience and function of forest ecosystems, which could lead to changes in forest carbon balance and productivity. However, these forest responses may vary with local conditions and forest types. Accordingly, this study was carried out to determine gross primary productivity (GPP) sensitivity to changes in environmental parameters. Central European beech (at Štítná) and spruce species (at Bílý Kr̆íz̆ and Rájec), growing under contrasting climatic conditions, were studied. The comparative analyses of GPP were based on a five-year-long dataset of eddy covariance fluxes during the main growing season (2012–2016). Results of forest GPP responses with changes in environmental factors from a traditional Stepwise multiple linear regression model (SMLR) were used and compared with Random forest (RF) analyses. To demonstrate how actual GPP trends compare to potential GPP (GPP<sub>pot</sub>) courses expected under near-optimal environmental conditions, we computed normalized GPP (GPP<sub>norm</sub>) with values between 0 and 1 as the ratio of the estimated daily sum of GPP to GPP<sub>pot</sub>. The study confirmed the well-known effect of total intensity of the photosynthetically active radiation and its diffuse fraction on GPP<sub>norm</sub> across all the forest types. However, the study also showed the secondary effects of other environmental variables on forest productivity depending on the species and local climatic conditions. The reduction in forest productivity at the beech forest in Štítná was presumed to be mainly induced by edaphic drought (anisohydric behaviour). In contrast, reduced forest productivity at the spruce forest sites was presumably induced by both meteorological and hydrological drought events, especially at the moderately dry climate in Rájec. Overall, our analyses call for more studies on forest productivity across different forest types and contrasting climatic conditions, as this productivity is strongly dependent on species type and site-specific environmental conditions.https://www.mdpi.com/2073-4433/12/9/1128eddy covarianceEuropean beechNorway sprucepotential GPPnormalizedregression modeling
collection DOAJ
language English
format Article
sources DOAJ
author Caleb Mensah
Ladislav Šigut
Milan Fischer
Lenka Foltýnová
Georg Jocher
Otmar Urban
Cosmos Senyo Wemegah
Emmanuel K. Nyantakyi
Shilpi Chawla
Marian Pavelka
Michal V. Marek
spellingShingle Caleb Mensah
Ladislav Šigut
Milan Fischer
Lenka Foltýnová
Georg Jocher
Otmar Urban
Cosmos Senyo Wemegah
Emmanuel K. Nyantakyi
Shilpi Chawla
Marian Pavelka
Michal V. Marek
Environmental Effects on Normalized Gross Primary Productivity in Beech and Norway Spruce Forests
Atmosphere
eddy covariance
European beech
Norway spruce
potential GPP
normalized
regression modeling
author_facet Caleb Mensah
Ladislav Šigut
Milan Fischer
Lenka Foltýnová
Georg Jocher
Otmar Urban
Cosmos Senyo Wemegah
Emmanuel K. Nyantakyi
Shilpi Chawla
Marian Pavelka
Michal V. Marek
author_sort Caleb Mensah
title Environmental Effects on Normalized Gross Primary Productivity in Beech and Norway Spruce Forests
title_short Environmental Effects on Normalized Gross Primary Productivity in Beech and Norway Spruce Forests
title_full Environmental Effects on Normalized Gross Primary Productivity in Beech and Norway Spruce Forests
title_fullStr Environmental Effects on Normalized Gross Primary Productivity in Beech and Norway Spruce Forests
title_full_unstemmed Environmental Effects on Normalized Gross Primary Productivity in Beech and Norway Spruce Forests
title_sort environmental effects on normalized gross primary productivity in beech and norway spruce forests
publisher MDPI AG
series Atmosphere
issn 2073-4433
publishDate 2021-09-01
description The strong effects of climate change are expected to negatively impact the long-term resilience and function of forest ecosystems, which could lead to changes in forest carbon balance and productivity. However, these forest responses may vary with local conditions and forest types. Accordingly, this study was carried out to determine gross primary productivity (GPP) sensitivity to changes in environmental parameters. Central European beech (at Štítná) and spruce species (at Bílý Kr̆íz̆ and Rájec), growing under contrasting climatic conditions, were studied. The comparative analyses of GPP were based on a five-year-long dataset of eddy covariance fluxes during the main growing season (2012–2016). Results of forest GPP responses with changes in environmental factors from a traditional Stepwise multiple linear regression model (SMLR) were used and compared with Random forest (RF) analyses. To demonstrate how actual GPP trends compare to potential GPP (GPP<sub>pot</sub>) courses expected under near-optimal environmental conditions, we computed normalized GPP (GPP<sub>norm</sub>) with values between 0 and 1 as the ratio of the estimated daily sum of GPP to GPP<sub>pot</sub>. The study confirmed the well-known effect of total intensity of the photosynthetically active radiation and its diffuse fraction on GPP<sub>norm</sub> across all the forest types. However, the study also showed the secondary effects of other environmental variables on forest productivity depending on the species and local climatic conditions. The reduction in forest productivity at the beech forest in Štítná was presumed to be mainly induced by edaphic drought (anisohydric behaviour). In contrast, reduced forest productivity at the spruce forest sites was presumably induced by both meteorological and hydrological drought events, especially at the moderately dry climate in Rájec. Overall, our analyses call for more studies on forest productivity across different forest types and contrasting climatic conditions, as this productivity is strongly dependent on species type and site-specific environmental conditions.
topic eddy covariance
European beech
Norway spruce
potential GPP
normalized
regression modeling
url https://www.mdpi.com/2073-4433/12/9/1128
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