Impacts of scenarios RCP4.5 and RCP8.5 on plant physiology in Tapajos National Forest in the Brazilian Amazon using the ED2.2 model
ABSTRACT Models that simulate the process of stomatal conductance (gs) for a given set of environmental conditions are important, as this process is the main mechanism that controls the gas exchange of terrestrial plants absorbing atmospheric CO2 in tropical forests. Simulations were performed for t...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Instituto Nacional de Pesquisas da Amazônia
2023-01-01
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| Series: | Acta Amazonica |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672023000100073&lng=en&tlng=en |
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| author | Luciana Cristina de Sousa VIEIRA Antonio Ocimar MANZI Vicente de Paula SILVA Prakki SATYAMURTY Vanessa de Almeida DANTAS Aldeize da Silva SANTOS |
| author_facet | Luciana Cristina de Sousa VIEIRA Antonio Ocimar MANZI Vicente de Paula SILVA Prakki SATYAMURTY Vanessa de Almeida DANTAS Aldeize da Silva SANTOS |
| author_sort | Luciana Cristina de Sousa VIEIRA |
| collection | DOAJ |
| description | ABSTRACT Models that simulate the process of stomatal conductance (gs) for a given set of environmental conditions are important, as this process is the main mechanism that controls the gas exchange of terrestrial plants absorbing atmospheric CO2 in tropical forests. Simulations were performed for the Tapajós National Forest, in the western Brazilian Amazon, observing the gs process under the current climate scenario (control) and under the scenarios RCP4.5 and RCP8.5 (2071 - 2100), using the ED2.2 ecosystem demography model. The results showed that the lower availability of soil water for the plants reduced photosynthesis due to the closing of the stomata. The model results for gross primary productivity (GPP) are similar to those observed in the field, varying about ≈24 MgC ha-1 year-1 for the rainy season and ≈23 MgC ha-1 year-1 for the dry season (average 2002 to 2010) in the control scenario. In the RCP4.5 scenario, simulated GPP was 30.7 and 30 MgC ha-1year-1 for the rainy and dry season, respectively (30.5 and 25 MgC ha-1year-1, respectively, for the RCP8.5 scenario). Our results also show that there may be a limitation on the increase in biomass carbon with the concentration of CO2, as GPP was lower in RCP8.5, despite this scenario having a higher value of atmospheric CO2 relative to RCP4.5. |
| first_indexed | 2024-04-10T20:46:07Z |
| format | Article |
| id | doaj.art-a0b0abdb51794a5386e69ecff8553708 |
| institution | Directory Open Access Journal |
| issn | 0044-5967 |
| language | English |
| last_indexed | 2024-04-10T20:46:07Z |
| publishDate | 2023-01-01 |
| publisher | Instituto Nacional de Pesquisas da Amazônia |
| record_format | Article |
| series | Acta Amazonica |
| spelling | doaj.art-a0b0abdb51794a5386e69ecff85537082023-01-24T07:36:22ZengInstituto Nacional de Pesquisas da AmazôniaActa Amazonica0044-59672023-01-01531738310.1590/1809-4392202103184Impacts of scenarios RCP4.5 and RCP8.5 on plant physiology in Tapajos National Forest in the Brazilian Amazon using the ED2.2 modelLuciana Cristina de Sousa VIEIRAhttps://orcid.org/0000-0003-3115-825XAntonio Ocimar MANZIVicente de Paula SILVAPrakki SATYAMURTYVanessa de Almeida DANTASAldeize da Silva SANTOSABSTRACT Models that simulate the process of stomatal conductance (gs) for a given set of environmental conditions are important, as this process is the main mechanism that controls the gas exchange of terrestrial plants absorbing atmospheric CO2 in tropical forests. Simulations were performed for the Tapajós National Forest, in the western Brazilian Amazon, observing the gs process under the current climate scenario (control) and under the scenarios RCP4.5 and RCP8.5 (2071 - 2100), using the ED2.2 ecosystem demography model. The results showed that the lower availability of soil water for the plants reduced photosynthesis due to the closing of the stomata. The model results for gross primary productivity (GPP) are similar to those observed in the field, varying about ≈24 MgC ha-1 year-1 for the rainy season and ≈23 MgC ha-1 year-1 for the dry season (average 2002 to 2010) in the control scenario. In the RCP4.5 scenario, simulated GPP was 30.7 and 30 MgC ha-1year-1 for the rainy and dry season, respectively (30.5 and 25 MgC ha-1year-1, respectively, for the RCP8.5 scenario). Our results also show that there may be a limitation on the increase in biomass carbon with the concentration of CO2, as GPP was lower in RCP8.5, despite this scenario having a higher value of atmospheric CO2 relative to RCP4.5.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672023000100073&lng=en&tlng=enbiomassclimate changeIPCCleaf |
| spellingShingle | Luciana Cristina de Sousa VIEIRA Antonio Ocimar MANZI Vicente de Paula SILVA Prakki SATYAMURTY Vanessa de Almeida DANTAS Aldeize da Silva SANTOS Impacts of scenarios RCP4.5 and RCP8.5 on plant physiology in Tapajos National Forest in the Brazilian Amazon using the ED2.2 model Acta Amazonica biomass climate change IPCC leaf |
| title | Impacts of scenarios RCP4.5 and RCP8.5 on plant physiology in Tapajos National Forest in the Brazilian Amazon using the ED2.2 model |
| title_full | Impacts of scenarios RCP4.5 and RCP8.5 on plant physiology in Tapajos National Forest in the Brazilian Amazon using the ED2.2 model |
| title_fullStr | Impacts of scenarios RCP4.5 and RCP8.5 on plant physiology in Tapajos National Forest in the Brazilian Amazon using the ED2.2 model |
| title_full_unstemmed | Impacts of scenarios RCP4.5 and RCP8.5 on plant physiology in Tapajos National Forest in the Brazilian Amazon using the ED2.2 model |
| title_short | Impacts of scenarios RCP4.5 and RCP8.5 on plant physiology in Tapajos National Forest in the Brazilian Amazon using the ED2.2 model |
| title_sort | impacts of scenarios rcp4 5 and rcp8 5 on plant physiology in tapajos national forest in the brazilian amazon using the ed2 2 model |
| topic | biomass climate change IPCC leaf |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672023000100073&lng=en&tlng=en |
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