BG1.6 | Amazon forest – a natural laboratory of global significance
EDI
Amazon forest – a natural laboratory of global significance
Convener: Laynara F. Lugli | Co-conveners: Eliane Gomes Alves, Santiago Botía, Carlos Alberto Quesada
Orals
| Fri, 28 Apr, 14:00–15:40 (CEST)
 
Room 2.17
Posters on site
| Attendance Tue, 25 Apr, 10:45–12:30 (CEST)
 
Hall A
Orals |
Fri, 14:00
Tue, 10:45
The Amazon forest is the world’s largest intact forest landscape. Due to its large biodiversity, carbon storage capacity, and role in the hydrological cycle, it is an extraordinary interdisciplinary natural laboratory of global significance. In the Amazon rainforest biome, it is possible to study atmospheric composition and processes, biogeochemical cycling and energy fluxes at the geo-, bio-, atmosphere interface under near-pristine conditions and under anthropogenic disturbance of varying. Understanding its current functioning at process up to biome level in its pristine and degraded state is elemental for predicting its response upon changing climate and land use, and the impact this will have on local up to global scale.
This session aims at bringing together scientists who investigate the functioning of the Amazon and comparable forest landscapes across spatial and temporal scales by means of remote and in-situ observational, experimental, modelling, and theoretical studies. Particularly welcome are also presentations of novel, interdisciplinary approaches and techniques that bear the potential of paving the way for a paradigm shift.

Orals: Fri, 28 Apr | Room 2.17

Chairpersons: Eliane Gomes Alves, Santiago Botía
Introduction
14:00–14:20
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EGU23-11338
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solicited
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Highlight
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On-site presentation
Rammig Anja and Lapola David and the AmazonFACE Team

Atmospheric CO2 concentrations are still rising due to land-use change and fossil fuel burning, and have unambiguously influenced Earth’s climate system and terrestrial ecosystems. Plant responses to rising atmospheric CO2 concentrations may have induced an increase in biomass and thus, increased the carbon sink in forests worldwide. Rising CO2 directly stimulates photosynthesis (the so-called CO2-fertilization effect) and tends to reduce stomatal conductance, leading to enhanced water-use efficiency, which may provide an important buffering effect for plants during adverse climate conditions. For these reasons, current global climate simulations consistently predict that tropical forests will continue to sequester more carbon in aboveground biomass. However, several lines of evidence point towards a decreasing carbon sink strength of the Amazon rainforest in the coming decades, potentially driven by nutrient limitation, droughts or other factors. Mechanistically modelling the effects of rising CO2 in the Amazon rainforest are hindered by a lack of direct observations from ecosystem scale CO2 experiments. To address these critical issues, we are currently building a free-air CO2 enrichment (FACE) experiment in an old-growth, highly diverse, tropical forest in the Brazilian Amazon and we here present our main hypotheses that underpin the AmazonFACE experiment.  We focus on possible effects of rising CO2 on carbon uptake and allocation, phosphorus cycling, water-use and plant-herbivore interactions, and discuss relevant ecophysiological processes, which need to be implemented in dynamic vegetation models to estimate future changes of the Amazon carbon sink. We also report on baseline measurements at the AmazonFACE site and show the progress on model development with regard to phosphorus uptake strategies.

How to cite: Anja, R. and David, L. and the AmazonFACE Team: AmazonFACE: A Free Air CO2 Enrichment Experiment in the Amazon rainforest is ready to launch, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-11338, https://doi.org/10.5194/egusphere-egu23-11338, 2023.

14:20–14:30
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EGU23-95
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ECS
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Highlight
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On-site presentation
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Chandrakant Singh, Ruud van der Ent, Ingo Fetzer, and Lan Wang-Erlandsson

Tropical rainforests invest in their root systems to store soil moisture from water-rich periods for use in water-scarce periods. An inadequate root-zone soil moisture storage predisposes or forces these forest ecosystems to transition to a savanna-like state, devoid of their native structure and functions. Yet changes in soil moisture storage and its influence on the rainforest ecosystems under future climate change remain uncertain. Using a mass-balance-based (empirical) understanding of root zone storage capacity, we assess the future state of the rainforests and the forest-savanna transition risk in South America and Africa. For this, we analyse the hydroclimatic estimates of 33 Earth System Models under four different shared socioeconomic pathway scenarios (i.e., SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5). We find that by the end of the 21st century, nearly one-third of the total forest area will be influenced by climate change. Furthermore, beyond 1.5-2⁰C warming, ecosystem recovery reduces gradually, whereas the forest-savanna transition risk increases several folds. For Amazon, this risk can grow by about 1.5-6 times compared to its immediate lower warming scenario, whereas for Congo, this risk growth is not substantial (0.7-1.65 times). The insight from this study underscores the urgent need to limit global surface temperatures below the Paris agreement.

How to cite: Singh, C., van der Ent, R., Fetzer, I., and Wang-Erlandsson, L.: Global warming beyond 1.5–2⁰C multiplies the rainforests' tipping risk, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-95, https://doi.org/10.5194/egusphere-egu23-95, 2023.

14:30–14:40
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EGU23-6496
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ECS
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On-site presentation
Takuto Taguchi and Kazuhito Ichii

Tropical rainforests in the Amazon play a vital role in absorbing atmospheric CO2, yet there remains a significant degree of uncertainty surrounding the process, magnitude, and potential future changes. In this study, we used outputs of Earth System Models (ESMs) to explore the impacts of dry-season precipitation changes on the terrestrial carbon cycle, with a specific focus on Gross Primary Production (GPP), which has yet to be thoroughly examined. The seasonal amplitude of GPP over the Amazon rainforests from the CMIP6 ensemble displayed significant variations among models resulting from dry-season decline, and these are much higher amplitude compared to reference data from 1981-2000. The regions with less precipitation are particularly vulnerable in the models, and this dry-season decline is anticipated to significantly intensify by the end of the 21st century due to the drying associated with global warming.

How to cite: Taguchi, T. and Ichii, K.: Analyzing the sensitivity of gross primary production to the water stress in the Amazon rainforest using CMIP6 models, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-6496, https://doi.org/10.5194/egusphere-egu23-6496, 2023.

14:40–14:50
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EGU23-11005
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ECS
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Highlight
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On-site presentation
Shuli Chen, Scott Stark, Antonio Nobre, Luz Cuartas, Diogo Amore, Natalia Restrepo-Coupe, Marielle Smith, Rutuja Chitra-Tarak, Hongseok Ko, Bruce Nelson, and Scott Saleska

Amazonia contains the most extensive tropical forests on Earth, but the role of the region as a carbon appears to be declining. Increasing deforestation, fire and climate change-associated increases in drought, threaten to push forests past a tipping point. However, forests are complex, exhibiting drought responses indicative of both resilience (photosynthetic “greening”) and vulnerability (browning and tree mortality) that are difficult to explain by climate variation alone. Still needed is a framework for understanding and predicting how different regions will respond to different kinds of future drought. Here, we combine remotely-sensed photosynthetic vegetation indices (enhanced vegetation index, EVI, corrected for sun-sensor geometry; and solar-induced chlorophyll fluorescence, SIF) with ground-based tree demography to test recent ecological hypotheses about forest drought resilience and vulnerability for different forest ecotypes across the basin, defined by their water-table depth, soil fertility and vegetation characteristics. In high-fertility southern Amazonia, drought response was importantly structured by water-table depth, with resilient greening in shallow-water-table-forests (where greater water availability heightened responsiveness to excess sunlight) contrasting with vulnerability (“browning” and excess tree mortality) over deeper water tables. Notably, shallow-water-table-forest resilience weakened as droughts lengthened. By contrast, low-fertility northern Amazonia, with slower-growing but drought-hardy trees (or tall trees, with deep-rooted water access), supported more drought-resilient forests independent of water-table depth. This work reveals a new biogeography of forest drought response that provides a framework for conservation decisions and improved prediction of heterogeneous forest responses to future climate changes, but warns that longer/more frequent droughts undermine these multiple ecohydrological strategies of Amazon forest resilience.

How to cite: Chen, S., Stark, S., Nobre, A., Cuartas, L., Amore, D., Restrepo-Coupe, N., Smith, M., Chitra-Tarak, R., Ko, H., Nelson, B., and Saleska, S.: Regional ecotypes structure biogeography of Amazon forest drought resilience and vulnerability, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-11005, https://doi.org/10.5194/egusphere-egu23-11005, 2023.

14:50–15:00
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EGU23-11315
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ECS
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On-site presentation
Eleanor Downie, Rico Fischer, Nikolai Knapp, Erone Ghizoni Santos, Fabian Fassnacht, José Luis Camargo, Ana Andrade, and Eduardo Maeda

The study of forest fragmentation, the break-up of forests into smaller patches, has become increasingly important due to increases in human-induced forest clearance, with 12 million hectares of forest being lost per year and 32% of this loss being tropical. There is substantial evidence showing that edge effects can alter the ecology structure and vertical profile of remaining forests, even hundreds of meters from the forest edge.  However, implementing empirical experiments (for example in the framework of the Biological Dynamics of Forest Fragments Project (BDFFP)) to understand the effects of fragmentation on forest structural traits can be logistically and scientifically challenging and limited to smaller areas.  The use of forest models may help overcome these limitations, as they are able to quickly reproduce long-term data, as well as simulate a broad range of geographical conditions. This study aimed to reproduce the vertical distribution of plants in Amazonian forests affected by fragmentation using the forest model FORMIND. To achieve this, we optimized parameters driving plant demography and mortality, as well as their response to edge effects. FORMIND is an individual and process-based gap model suited for species rich vegetation communities, with the option of a fragmentation module. We modified processes and parameters in FORMIND to mimic the dynamics observed in the BDFFP experiment. Forest structural traits extracted from the FORMIND model output were compared with those obtained from terrestrial laser scans of the BDFFP fragments. The resulting simulations demonstrated that, after 40 years of edge effects, the optimized model was able to reproduce similar results to those observed using the terrestrial LiDAR system. Total plant area index (PAI), and PAI at varying height intervals (PAI 0-10m, PAI 10-20m, PAI 20-30m), showed consistent responses from edge effects, thus resulting in an adequate vertical plant distribution. Results demonstrate that, forest models such as FORMIND have strong potential to study the mechanisms and the impact of environmental changes on forests. Models can also expand the possibilities of in-situ studies, which are limited in time and space, when calibrated carefully with suitable in-situ data, here delivered by terrestrial LiDAR.

How to cite: Downie, E., Fischer, R., Knapp, N., Ghizoni Santos, E., Fassnacht, F., Camargo, J. L., Andrade, A., and Maeda, E.: Creating virtual forests to understand fragmentation in tropical ecosystems, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-11315, https://doi.org/10.5194/egusphere-egu23-11315, 2023.

15:00–15:10
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EGU23-17108
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On-site presentation
Simone Kilian Salas, Alberto Andrino, Elisa Díaz García, Diana Boy, Marcus A. Horn, Jens Boy, Georg Guggenberger, and Hermann F. Jungkunst

Losses in above- and belowground biodiversity are linked to changes in land use practices and immediately affect processes in the upper soil horizons. Theoretically, these superficial changes are reversible unless a tipping point on an ecosystem level was crossed. This safety net of functional redundancy facilitates the return of vital soil functions and processes to the initial state. Little is known about how deep these changes have reached into the subsoil over time, because early warning indicators of a tipping point being about to be crossed are still sparse. This is especially important for the tropics, as soils are typically intensively weathered and nutrient depleted, therefore, plants relying largely on nutrients from below. Net nitrous oxide (N2O) emission rates from the soil surface have proved to be valid proxies for detecting the crossing of tipping points in soil biogeochemistry. Here, we advanced this approach by looking deeply into the soil and reveal that potential greenhouse gas (GHG) production and consumption are useful proxies to estimate how deep the loss of aboveground biodiversity has already impacted soil microbial processes. We performed incubation experiments on forest and pasture soils stemming from shallow as well as 1 m deep profiles from the Peruvian Amazon Basin to determine the production and consumption potential of the GHGs at different water holding capacities. We expected pasture soils to have lost direct carbon(C)-related connections to deeper soil horizons. In forests, roots with different and greater depths also connect deeper soil layers. Therefore, in greater depth, carbon dioxide (CO2) production declined faster under pastures than under forests because C limitations are reached sooner. In the surface, grasses are well known for their input of C and increased CO2 production. Since old pastures are limited in nitrogen (N), almost no N2O should be produced, possibly increasing the potential to take up N2O. However, denitrification is a heterotrophic process also dependent on available C, therefore, the potentials of N2O production and consumption in deeper forest soils were larger with increasing water holding capacity. These findings could indicate that losses in aboveground biodiversity due to forest conversion can have profound impacts on soil microbial processes, extending also to deeper soil layers while altering the connection of the subsoil to the top.

How to cite: Kilian Salas, S., Andrino, A., Díaz García, E., Boy, D., Horn, M. A., Boy, J., Guggenberger, G., and Jungkunst, H. F.: Forest conversion cuts off biogeochemical connections of the subsoil to the top, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-17108, https://doi.org/10.5194/egusphere-egu23-17108, 2023.

15:10–15:20
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EGU23-1307
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On-site presentation
Jordi Vila-Guerau de Arellano and Oscar Hartogensis and the CloudRoots and collaborators from Brasil and Germany

How are carbon dioxide assimilation by photosynthesis and (shallow) cumulus clouds connected? What is the local interaction between rainforest evapotranspiration and cloud formation modulated by incoming regional air masses? These interrelated questions were the main drivers of the experimental campaign CloudRoots-Amazonia22 that took place at the ATTO/Campina supersites in the pristine Amazon rainforest during August 2022 (dry season). CloudRoots-Amazonia22 collected observational data to derive relationships between leaf level processes to canopy scales and connected them to the diurnal evolution of the clear to cloudy atmospheric boundary layer. At leaf level, first results indicate a diurnal asymmetry of the leaf conductance with maximum openings before midday. These observations are related to radiative energy fluxes to study the partitioning into sensible and latent heating and of plant-soil carbon dioxide exchnages. By coupling measurements of carbon and water stable isotopologues by fast laser instruments to turbulence measurements we aim to quantify flux variations related to the radiation fluctuations driven by clouds. These observations are integrated with 75 soundings of state variables and greenhouse gas profiles taken by flights below, through and above the cloud layers. We investigate what controls the transition from shallow to deep convection and the causality between the surface-cloud shear and the moisture transport at the interface between the different atmospheric layers. The observational analysis is completed with conceptual modelling and systematic large-eddy simulation experiments, which include dynamic vegetation models to advance our understanding of the diurnal energy, water and carbon cycles over the Amazon rainforest.

How to cite: Vila-Guerau de Arellano, J. and Hartogensis, O. and the CloudRoots and collaborators from Brasil and Germany: CloudRoots-Amazonia22: Integrating clouds with photosynthesis by crossing scales, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-1307, https://doi.org/10.5194/egusphere-egu23-1307, 2023.

15:20–15:30
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EGU23-14926
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On-site presentation
Raissa de Oliveira, Daiane Brondani, Luca Mortarini, Umberto Giostra, Eliane Alves, Carlos Alberto Quesada, and Cléo Quaresma Dias-Junior

The spatial representativeness of anemometric tower measurements and the underlying hypothesis of horizontal homogeneity of the atmospheric flows have long being questioned in the literature. Further, forest are rarely situated on uniform and flat terrain in which the horizontally homogeneity of turbulence holds. The orography around the Amazon Tall Tower Observatory (ATTO) site makes no exception. The measurement site is located on a narrow plateau SW-NE oriented, surrounded by lower hills. It is then natural to investigate the spatial variability of the turbulent field around the ATTO and the INSTANT towers to understand the role played by gentle topography. The Parallelized Large-Eddy Simulation Model (PALM) is used to simulate the atmospheric flow over the Amazon Forest and to investigate the effect of topography on the Atmospheric flow within and above the roughness sublayer. The real topography of the ATTO site is considered, while a horizontally homogeneous leaf area density (LAD) profile is assumed for the canopy over the whole area. Hence, the flow variability can be totally ascribed to spatial orography gradients. The influence of orography is assessed comparing the profiles of the turbulent kinetic energy components and fluxes evaluate over flat terrain and over the real topography at different position on the horizontal plane. The dependence of the orography influence on the wind direction is investigated considering two different wind directions.

 

How to cite: de Oliveira, R., Brondani, D., Mortarini, L., Giostra, U., Alves, E., Quesada, C. A., and Dias-Junior, C. Q.: Topography influence on turbulent profiles over the ATTO site, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-14926, https://doi.org/10.5194/egusphere-egu23-14926, 2023.

15:30–15:40
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EGU23-10412
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On-site presentation
Cléo Quaresma Dias-Junior, Nelson Dias, Otávio Acevedo, Luca Mortarini, Daiane Brondani, Pablo Oliveira, Alessandro Araújo, Leonardo Oliveira, Rosaria Ferreira, Ricardo Acosta, Bruno Takeshi, and Carlos Alberto Quesada

For tropical forests, such as the Amazon Forest, the turbulence intensity at the forest-atmosphere interface is high since in this region there is strong convective activity during the day and the aerodynamic roughness of the forest canopy is high. Heat and other scalar properties are exchanged between the flow and the canopy. Understanding these exchange mechanisms is essential for a variety of applications in various fields of science. Furthermore, it is known that the Amazon region has a strong influence on the transport of heat and water vapor to regions located at higher latitudes and plays an important role in the carbon cycle. Measurements carried out in micrometeorological towers are crucial for the correct quantifications of the turbulent fluxes. However, the use of micrometeorological towers in the Amazon is recent. High frequency measurements (eg Eddy covariance systems) in the Amazon rainforest were usually performed at a single point, often above the forest canopy. The first analyses from the fast response data clearly showed the existence of what is now known as the roughness sublayer (RSL). In these works, it was speculated that the surface boundary layer, was higher up. Within Amazonian RSL, important discoveries have already been made, for example: (i) the Monin-Obuhkov similarity functions are not the most appropriate for estimating turbulent fluxes in the region immediately above the forest canopy. (ii) The Amazonian nocturnal boundary layer is often populated by submeso phenomena, which create episodes of intermittent turbulence and increase the complexity of exchange processes between the forest and the atmosphere during the night. (iii) Above the Amazonian RSL, it was possible to verify that there is no evidence of a classic inertial layer. Since July 2021, the ATTO (Amazon Tall Tower Observatory) tower has been performing continuous measurements, carried out by nineteen 3D-sonic installed from 5 m (inside the forest canopy) to 316 m (above the RSL). Therefore, in this work we will show the profiles of different turbulent fluxes measured since mid-2021 under different stability conditions and at different periods of the year (dry and rainy season). These new measurement profiles, with high vertical resolution, are unique and they will allow us to understand the turbulent exchange processes in regions of the Amazon planetary boundary layer that have not been previously explored.

 

 

 

 

How to cite: Dias-Junior, C. Q., Dias, N., Acevedo, O., Mortarini, L., Brondani, D., Oliveira, P., Araújo, A., Oliveira, L., Ferreira, R., Acosta, R., Takeshi, B., and Quesada, C. A.: Turbulent Fluxes Within and Above the Amazon Roughness Sublayer, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-10412, https://doi.org/10.5194/egusphere-egu23-10412, 2023.

Posters on site: Tue, 25 Apr, 10:45–12:30 | Hall A

Chairpersons: Eliane Gomes Alves, Santiago Botía
A.239
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EGU23-4410
Eliane Gomes Alves, Raoni Aquino Santana, Cléo Quaresma Dias-Junior, Santiago Botía, Tyeen Taylor, Ana Maria Yáñez-Serrano, Jürgen Kesselmeier, Pedro Ivo Lembo Silveira de Assis, Giordane Martins, Rodrigo de Souza, Sergio Duvoisin Junior, Alex Guenther, Dasa Gu, Anywhere Tsokankunku, Matthias Sörgel, Bruce Nelson, Davieliton Pinto, Shujiro Komiya, Bettina Weber, and Diogo Martins Rosa and the Cybelli Barbosa

Isoprene emissions are a key component in biosphere-atmosphere interactions, and the most significant global source is the Amazon rainforest. However, intra- and inter-annual variations in biological and environmental factors that regulate isoprene emission from Amazonia are not well understood and, thereby, poorly represented in models. Here, with datasets covering several years of measurements at the Amazon Tall Tower Observatory (ATTO) in central Amazonia, Brazil, we (1) quantified canopy profiles of isoprene mixing ratios across seasons of normal and anomalous years and related them to the main drivers of isoprene emission – solar radiation, temperature, and leaf phenology; (2) evaluated the effect of leaf age on the magnitude of the isoprene emission factor (Es) from different tree species and scaled up to canopy with intra- and inter-annual leaf age distribution derived by a phenocam; and (3) adapted the leaf age algorithm from MEGAN with observed changes in Es across leaf ages. Our results showed that the variability in isoprene mixing ratios was higher between seasons (max. during the dry-to-wet transition seasons) than between years, with values from the extreme 2015 El-niño year not significantly higher than in normal years. In addition, model runs considering in-situ observations of canopy Es and the modification on the leaf age algorithm with leaf-level observations of Es presented considerable improvements in the simulated isoprene flux. This shows that MEGAN estimates of isoprene emission can be improved when biological processes are mechanistically incorporated into the model.  

How to cite: Gomes Alves, E., Aquino Santana, R., Quaresma Dias-Junior, C., Botía, S., Taylor, T., Yáñez-Serrano, A. M., Kesselmeier, J., Lembo Silveira de Assis, P. I., Martins, G., de Souza, R., Duvoisin Junior, S., Guenther, A., Gu, D., Tsokankunku, A., Sörgel, M., Nelson, B., Pinto, D., Komiya, S., Weber, B., and Martins Rosa, D. and the Cybelli Barbosa: Intra- and inter-annual changes in isoprene emission from central Amazonia, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-4410, https://doi.org/10.5194/egusphere-egu23-4410, 2023.

A.240
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EGU23-4499
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ECS
Santiago Botía, Saqr Munassar, Thomas Koch, Amir Hossein Abdi, Luana S. Basso, Shujiro Komiya, Jost Lavric, David Walter, Luciana V. Gatti, Emanuel Gloor, John Miller, Wouter Peters, Christian Rödenbeck, and Christoph Gerbig

The contribution of vegetation to the South American carbon balance is critical for understanding the regional dynamics in net carbon exchange. Of particular interest is the role of the Amazon region as a sink or source of carbon to the atmosphere. Recent evidence indicate a weakening of the Amazon carbon sink, and when taking fires into account, the region represents a source of carbon to the atmosphere. In this study we use a regional atmospheric inversion system together with data from the Amazon Tall Tower Observatory (ATTO) and airborne profiles of CO2, to constrain the Net Biome Exchange (NBE) in tropical South America. At the domain-wide scale we find that the atmospheric observations can constrain 64% of the land mass, with uncertainty reductions in most of the Amazon region, and the adjacent Cerrado and Caatinga biomes. Furthermore, we provide a sub-regional-specific analysis showing the effect of assimilating the Amazon Tall Tower Observatory CO2 time series on the mean seasonal cycle of NBE for four areas within the Amazon, the Cerrado and the Caatinga. An emerging sink-source gradient between the Amazon region (sink) and the integrated effect of the Cerrado and Caatinga (source) is found, but the source is located in the boundaries and outside the eastern border of the legal Amazon. Optimized NBE estimates at regional and subregional scales are shown and the importance of the continuous measurements at ATTO is highlighted. Finally, we indicate the areas with a limited data constraint in our system and conclude that the observational network has to be further expanded for reducing the remaining uncertainty in top-down inverse approaches for this region.

How to cite: Botía, S., Munassar, S., Koch, T., Abdi, A. H., Basso, L. S., Komiya, S., Lavric, J., Walter, D., Gatti, L. V., Gloor, E., Miller, J., Peters, W., Rödenbeck, C., and Gerbig, C.: Top-down constraint of net carbon exchange in tropical South America, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-4499, https://doi.org/10.5194/egusphere-egu23-4499, 2023.

A.241
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EGU23-17534
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ECS
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Lucie Bakels, Silvia Bucci, and Andreas Stohl

Deforestation in the Amazon basin has the potential to affect regional atmospheric circulations, possibly causing changes in the moisture transport by altering the regional Hadley and Walker cells (Zhang et al.1996). Previous studies that modelled the atmosphere under different extreme deforestation scenarios have shown that deforestation in the Amazon basin could increase the length and frequency of dry seasons in the Southern Amazon, while an increase of rain is expected in the Northern Amazon (e.g. Espinoza et al., 2019; Ruiz-Vasquez et al., 2020). Beyond climate models, it is also possible to trace the effect of past deforestation on the atmosphere using a Lagrangian transport model applied on atmospheric reanalysis data. Using the FLEXPART global simulations on the ERA-5 ECMWF reanalysis dataset (1959-2022), we are able to track air parcels through time and space, making it possible to locate the origin of moisture and latent heat, and quantify how global atmospheric circulation is affected by air transport from deforested areas.

How to cite: Bakels, L., Bucci, S., and Stohl, A.: Effects of deforestation events on atmospheric dynamics using Lagrangian reanalysis data, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-17534, https://doi.org/10.5194/egusphere-egu23-17534, 2023.

A.242
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EGU23-10954
Shujiro Komiya, Sam Jones, Hella van Asperen, Jost Lavric, Getachew Adnew, Robbert Moonen, Santiago Botia, Cléo Quaresma Dias-Júnior, Ricardo Acosta Gotuzzo, Rosaria Rodrigues Ferreira, Fumiyoshi Kondo, and Susan Trumbore

The recent development and improvement of commercially available laser-based spectrometers have expanded onsite continuous water vapor (H2O) stable isotope composition (e.g. δ18O, δ17O and δ2H) measurements in a variety of sites across the world in the last decade. However, we still lack continuous observations in the Amazon basin region, a region that significantly influences atmospheric and hydrological cycles on local to global scales.

The Amazon Tall Tower Observatory (ATTO) site is located in well-preserved central Amazon upland rainforest. In August 2022, a commercial cavity-ring down (CRDS) analyzer (L2140-i model, Picarro, Inc., USA) was installed to continuously measure water vapor isotope compositions at four levels (79, 38, 24, and 4 m above ground) of the 80 m walk-up tower. Also, deuterium excess (hereinafter called d-excess; d-excess = δ2H–8δ18O) was assessed to trace processes that contribute to diel variation in atmospheric moisture inside and above canopy.

During the dry season, d-excess generally decreased during the nighttime, reaching minimum values at 6 am to 8 am local time (LT), followed by an increase to maximum values at 12 pm to 4 pm. The diel d-excess variation indicates that atmospheric entrainment occurred in the early morning and evapotranspiration was a dominant moisture source in the afternoon. Further results will be analyzed and discussed in the presentation.  

How to cite: Komiya, S., Jones, S., van Asperen, H., Lavric, J., Adnew, G., Moonen, R., Botia, S., Quaresma Dias-Júnior, C., Acosta Gotuzzo, R., Rodrigues Ferreira, R., Kondo, F., and Trumbore, S.: Continuous water vapor isotope measurements at the Amazon Tall Tower Observatory site during a dry season: Insights into diel atmospheric moisture sources, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-10954, https://doi.org/10.5194/egusphere-egu23-10954, 2023.

A.243
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EGU23-9165
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ECS
Flavia Durgante, Niro Higuchi, Shinta Ohashi, John Ethan Householder, Florian Wittmann, and Susan Trumbore and the collaborators

Amazonian forest productivity is related to gradients in climate and soil fertility, and impacted by extreme climate events such as drought. However, interactions between soil fertility and drought in influencing regional and interannual variations in tree diameter growth are still poorly explored. To fill this gap, we used radiocarbon measurements to evaluate the variation in tree growth rates over the past decades for 30 individual trees from an important hyperdominant species, Eschweilera coriacea (Lecythidaceae). Trees were sampled from six sites in the state of Amazonas, Brazil, spanning a range of soil properties and climate. Using a linear mixed model, we show that temporal variations in mean annual diameter increment for a specific time period reflects interactions between soil fertility and SPEI drought index (Standardized Precipitation and Evapotranspiration Index). Overall differences between sites in mean tree growth, wood density and biomass production primarily reflected soil fertility, while temporal variations in growth response to drought also strongly dependence on soil fertility. Whereas drought strongly limited tree growth in fertile environments, its impact on tree growth was attenuated in poorer soils. Our results suggest that the growth response of trees to drought is strongly dependent on soil conditions, a facet of Amazon forest productivity that is still underexplored. As the Eschweilera coriacea is a hyperdominant species in the Amazon and is ranked second for highest biomass production in the basin, the pattern of tree growth in response to soil-climate interactions influences the carbon balance of the entire Amazon basin. This result has a large potential to improve predictions of how tropical tree growth affect the global carbon cycle in the face of climate change.

How to cite: Durgante, F., Higuchi, N., Ohashi, S., Householder, J. E., Wittmann, F., and Trumbore, S. and the collaborators: Soil fertility and drought stress episodes explain the variations in diameter growth of the hyperdominant Amazon tree species Eschweilera coriaceae, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-9165, https://doi.org/10.5194/egusphere-egu23-9165, 2023.

A.244
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EGU23-10522
Hella van Asperen, Shujiro Komiya, Sam Jones, Santiago Botia, Jost Lavric, Thorsten Warneke, David Griffith, and Susan Trumbore

The ATTO (Amazon Tall Tower Observatory) tower is a 325m tall tower located in the middle of the pristine Amazon rainforest. Since 2022, continuous greenhouse gas concentrations at different heights (4m, 42m, 81m, 150m, 273m, 321m) are monitored by use of a Spectronus FTIR-spectrometer, measuring CO2, CH4, CO, N2O and del13CO2 hourly, compliant to WMO/GAW standards. This unique measurement system is the first set up which measures greenhouse gases continuously until 325m above a tropical rainforest, which fill an important gap in the global continous observation network. The measurements can be used for regional and global modelling, and can be used for biosphere-atmosphere exchange flux estimates. In this presentation, we will show the main observations of the first year of data collection, and will present the typical daily cycles observed for the different gases at different heights.

How to cite: van Asperen, H., Komiya, S., Jones, S., Botia, S., Lavric, J., Warneke, T., Griffith, D., and Trumbore, S.: Unique Tall Tower Greenhouse Gas Measurements in the Amazon Rainforest: observed patterns and daily cycles, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-10522, https://doi.org/10.5194/egusphere-egu23-10522, 2023.

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EGU23-11140
Katrin Fleischer, Lin Yu, Lucia Fuchslueger, Carlos A. Quesada, and Sönke Zaehle

Soil nutrient availability is a key constraint on tropical forest growth. On highly weathered soils, intact forests' carbon-nutrient cycles have developed over pedogenic time scales, leading to tight nutrient cycling of some depleted elements, such as phosphorus. Ecosystem nutrient recycling and plant nutrient limitation are predominant in lowland Amazonia, controlling the forests' response to disturbance and climate change. Deforestation, biomass removal, and fire lead to the loss of carbon and nutrients previously stored in vegetation, potentially enforcing nutrient limitation and reducing carbon storage in regrowing forests.   

Here, we employ the process-based terrestrial biosphere model QUINCY (Thum et al., 2019), coupled with the microbial-explicit soil model JSM (Yu et al., 2020) to simulate carbon and nutrient cycling rates at intact Amazonian forest sites, which span a natural gradient of 30 to 727 mg phosphorus g dry soil-1, and from 2 to 81% clay. The model QUINCY-JSM accounts for dynamic plant carbon investment in growth and nutrient acquisition, and microbial-explicit growth, turnover, and nutrient cycling. We confront the ecosystems with historical changes in atmospheric CO2 and climate, and simulate an experimental harvest of the entire forest stand to assess the consequences of that nutrient loss on the regrowing forest stand. Simulations of the Amazon forest sites are in good agreement with forest census data on vegetation carbon dynamics. Biologically-driven nutrient mineralization represents the main source of nutrients for plants, with negligible contribution of inorganic nutrient cycling in highly weathered sites. After experimental deforestation, we find that the inorganic nutrient supply is insufficient and restricts forest growth, leading to lower vegetation biomass equilibrium after deforestation. Our simulations suggest that forest degradation may occur through biomass removal in tropical forests.

Thum, T., Caldararu, S., Engel, J., Kern, M., Pallandt, M., Schnur, R., et al. (2019). A new model of the coupled carbon, nitrogen, and phosphorus cycles in the terrestrial biosphere (QUINCY v1.0; revision 1996). Geoscientific Model Development, 12(11), 4781–4802. https://doi.org/10.5194/gmd-12-4781-2019

Yu, L., Ahrens, B., Wutzler, T., Schrumpf, M., & Zaehle, S. (2020). Jena Soil Model (JSM v1.0; Revision 1934): A microbial soil organic carbon model integrated with nitrogen and phosphorus processes. Geoscientific Model Development, 13(2), 783–803. https://doi.org/10.5194/gmd-13-783-2020

How to cite: Fleischer, K., Yu, L., Fuchslueger, L., Quesada, C. A., and Zaehle, S.: Modelling soil phosphorus cycle feedbacks in old-growth and regrowing tropical forests in Amazonia, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-11140, https://doi.org/10.5194/egusphere-egu23-11140, 2023.

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EGU23-16898
Luiz Augusto Toledo Machado and the Gabriela R. Unfer, Christopher Pohlker , Jonathan Williams, Harder Hartwig, Meinrat O. Andreae, Paulo Artaxo, Yafang Cheng, Joachim Curtius, Marco A. Franco, Micael A. Cecchini, Achim Edtbauer, Bruna Holanda, Leslie A. Kremper, Bruno B. Meller, Eva Pfanne

 Atmospheric aerosol particles are essential for the formation of clouds and precipitation, thereby impacting
the global energy budget and the water cycle. However, particle production in pristine environments like the
Amazon rainforests are not yet well understood. New particle formation can occur in the outflow of high
convective clouds and be transported downward (top-down) or they may form and grow from oxidized
biogenic volatile organic compounds at low altitudes before entering the largescale vertical circulation
(bottom-up). In this study, we examine a comprehensive measurement dataset of aerosols, trace gases,
and meteorological parameters to examine new particle formation and growth in the Amazon rainforest.
The results reveal that rain events are important not only for the downdraft of particles from aloft but
also for the injection of ozone into the forest canopy. While near-ground particle enhancements by
downdrafts were modest, .another less frequent but more efficient process acted to increase sub-40 nm
particle concentrations nearly one hour after the maximum precipitation. This phenomenon occurs due to
downdrafts of ozone-rich air entering the canopy containing reactive organic species and initiating particle
production. Particularly on days when the previous night has a high ozone concentration, these particles
grow in the early morning to form cloud condensation nuclei in the early afternoon
 

How to cite: Toledo Machado, L. A. and the Gabriela R. Unfer, Christopher Pohlker , Jonathan Williams, Harder Hartwig, Meinrat O. Andreae, Paulo Artaxo, Yafang Cheng, Joachim Curtius, Marco A. Franco, Micael A. Cecchini, Achim Edtbauer, Bruna Holanda, Leslie A. Kremper, Bruno B. Meller, Eva Pfanne: Rainfall-Particle Feedback in the Amazon Forest, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-16898, https://doi.org/10.5194/egusphere-egu23-16898, 2023.

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EGU23-16945
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ECS
Glauber Cirino, Márcio Matheus, Henrique Barbosa, Courtney Schumacher, Aaron Funk, Joel Brito, Luciana Rizzo, Rafael Palácios, Simone Silva, Breno Imbiriba, Jost Lavric, Scot Martin, and Paulo Artaxo

Aerosol particles impact health, ecosystems, and climate, especially when in high concentrations in urban environments. Wet deposition is one of the most critical limiting mechanisms of particulate matter in the atmosphere.  This mechanism captures particles inside clouds (rain-out) or below the cloud due to precipitation (washout). In the Amazon basin, the physical mechanisms and scavenging rates remain unknown in many regions. Several studies over the last decades have empirically ascertained the impact of wet deposition to develop local atmospheric models or to estimate the contribution of its effects. Here, we analyzed some of the physical and chemical properties of aerosols: nucleation mode (NU, 10-30 nm), Aitken (30-100 nm), accumulation mode (AC, 100-430 nm), total particle number (10-430 nm), Black Carbon equivalent (BCe), and chemical properties, such as organic aerosols (OA), sulfate (SO42−) and nitrate (NO3). We obtained the data set from the Intensive Observation Periods (IOPs) of the GoAmazon2014 experiment, Iranduba-AM (T2 sampling site), ~ 9 km NE of Manaus city. We conducted three analyzes from these data: (I) daily cycles on dry and rainy days; (II) scavenging rates (TS), i.e., the difference in the concentration of aerosol one hour before and the first hour of rainfall events, generally, during local thunderstorms or Mesoscale Convective Systems - MCS; and (III) scavenging coefficients (λ). We verified significant statistics decreases at both NU and AIT modes, as well SO42− and NO3. In TS analysis, we observed a similar decline (NU: -21%, AIT: -17%, AC: -22%), contributing to an overall removal of up to -13% (on average). The soluble fractions were removed easily (OA: -21%, SO42−: -16%, and NO3: -16%) compared to insoluble fractions (BCe: -11%). In λ analysis, a substantial decrease in all size classes (NU: 2.0 × 10−4 s−1, AIT: 7.8 × 10−4 s−1, AC: 1.3 × 10−4 s−1, CN: 5.4 × 10−4 s−1) was also observed, with unexpected prominence to the AIT. We've attributed this result to introducing aerosol particles of 10-50 nm by deep convection, which may counteract the washout. Measurements of cloud properties might help confirm this hypothesis. Our preliminary findings are helpful for the local modeling of pollutant dynamics and provide evidence that wet deposition substantially removes sub-micron particles in the Amazon region. The wet deposition rates for other storms and clouds in the atmosphere, however, remain unknown.

How to cite: Cirino, G., Matheus, M., Barbosa, H., Schumacher, C., Funk, A., Brito, J., Rizzo, L., Palácios, R., Silva, S., Imbiriba, B., Lavric, J., Martin, S., and Artaxo, P.: Wet deposition of sub-micron aerosol particles in an urban area of the Amazon central, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-16945, https://doi.org/10.5194/egusphere-egu23-16945, 2023.

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EGU23-357
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ECS
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Angela Katherine Martin Vivanco, Outi-Maaria Sietiö, Aino Seppänen, Bruno Glaser, Oona Uhlgren, Kevin Mganga, Subin Kalu, Andrew Nottingham, and Kristiina Karhu

Abstract

Growing attention has been paid to the significance of microbial metabolism for soil carbon (C) and nutrient cycle as well as their feedback effects on global warming. The estimated annual release of carbon dioxide from soil microbial respiration is 60 petagrams, and because aged native soil organic matter (SOM) has higher temperature sensitivity, the anticipated warming is expected to speed up its C release. Warming might increase litter and root exudate C inputs to hasten the decomposition of older SOM through priming effects. Microorganisms, however, have a rapid rate of growth and turnover and the new SOC formation from labile C inputs may be able to partly counteract the C losses through primed SOM decomposition. We are examining how temperature and the availability of C and nutrients affect the size and direction of priming effects. We conducted an incubation experiment on intact soil cores collected from altitudes ranging from 1500 to 3050 m a.s.l, and that were part of the Kosñipata gradient in the Peruvian Amazon. We incubated the soils for seven months, at two different temperatures to evaluate the impact of temperature, on the magnitude of priming effect caused by added 13C-labeled glucose, which was used as a model compound for labile root derived C inputs. At the end of the incubation, we determined the amount of 13C integrated into the microbial biomass and amino sugars, as well as the 13C remaining in bulk SOM.

Keywords 

Soil organic carbon, Priming effect, Soil respiration, Microbial residues, Elevational (altitudinal) gradient, Amazon

How to cite: Martin Vivanco, A. K., Sietiö, O.-M., Seppänen, A., Glaser, B., Uhlgren, O., Mganga, K., Kalu, S., Nottingham, A., and Karhu, K.: Is priming influenced more by in situ or incubation temperatures? Evidence from a 1500 m elevation gradient in the Amazon, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-357, https://doi.org/10.5194/egusphere-egu23-357, 2023.