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Linking plant hydraulics and beta diversity in tropical forests (Commentary in New Phytologist)

Plant hydraulic architecture underpins sorting of species along edaphic gradients.

The Science
We provide a scientific commentary on intriguing new results from the Amazon suggesting that plant hydraulic traits mediate the sorting of species along edaphic gradients of water availability (i.e., beta diversity). We highlight emerging research needs, questions and priorities related to the study of this so-called ‘trait-mediated environmental filtering’ as it relates to plant hydraulics.

The Impact
The study upon which our commentary is based (Cosme et al., 2017, “The importance of hydraulic architecture to the distribution patterns of trees in a central Amazonian forest,” New Phytologist 215(1): 113-125) showed that evergreen valley tree species have significantly greater xylem vessel diameters than their plateau counterparts of the same genus. It is commonly thought that plants face a trade-off in water transport versus hydraulic safety (risk of failure of the transport system). In our commentary on this article, we highlight the complexities associated with this trade off and how it maps onto contrasting hydrological regimes of plateau and valley habitats. We emphasize that with the advent of climate change and changing precipitation regimes, it is increasingly critical to understand how plant hydraulic traits translate into plant performance, and ultimately, the competitive outcomes of plants with distinct sets of hydraulic traits which give rise to beta diversity in tropical forests. Developing a mechanistic understanding of beta diversity in tropical forests will enhance our predictive capability of tropical forests to climate change.

Summary
Because the rate of a plant water transport is proportional to xylem vessel diameter but the safety of such transport (risk of failure of the transport system) is inversely proportional, Cosme et al. suggest that species in valley habitats will prioritize transport capacity while those in plateau habitats will prioritize safety. Such a hypothesis was supported by their results. We highlight that the assumption of valley habitats as more hydrologically favorable and stable in time may not always be true; the sandy, rapidly draining soils and shallow rooting habits of valley habitats may promote both more plant hydraulic stress during dry periods and greater variability overall when compared to plateau habitats. This alternative perspective of valley and plateau habitats is consistent with other traits observed by Cosme et al. to be different in these habitats, such as wood density. We emphasize the value of Cosme et al.’s results for model development — namely, as a benchmark for models in which trait assemblages are emergent, rather than prescribed. We also highlight key ecohydrological measurements that are needed to resolve how plants respond to the favorability and stability of hydrologic regimes in these contrasting edaphic habitats in tropical forests.

Contacts (BER PM): Daniel Stover and Jared DeForest, SC-23.1, Daniel.Stover@science.doe.gov (301-903-0289) and Jared.DeForest@science.doe.gov (301-903-1678)

PI Contact: Bradley Christoffersen, Earth and Environmental Sciences Division, Los Alamos National Laboratory, bradley@lanl.gov

Funding
B.C. and N.G.M. acknowledge support from the Next-Generation Ecosystem Experiments (NGEE-Tropics) project, funded by the US Department of Energy, Office of Biological and Environmental Research. P.M. acknowledges support from NE/J011002/1 (NERC, UK) and FT110100457 and DP170104091 (ARC, Australia).

Publications
Christoffersen, B., Meir, P. & McDowell, N. G. Linking plant hydraulics and beta diversity in tropical forests. New Phytologist 215, 12-14, doi:10.1111/nph.14601 (2017).

Cosme, L. H. M., Schietti, J., Costa, F. R. C. & Oliveira, R. S. The importance of hydraulic architecture to the distribution patterns of trees in a central Amazonian forest. New Phytologist 215, 113-125, doi:10.1111/nph.14508 (2017).

Direct estimate of seasonal evapotranspiration over Amazon

Researchers estimate evapotranspiration for the Amazon basin using a water budget approach and show complex seasonal cycle and long-term changes in forest function.

The Science
We combined satellite measurements of rainfall and gravity anomalies with Amazon river flow data to derive a seasonally-resolved estimate of evapotranspiration for the entire Amazon basin. We then analyze the seasonal cycles and long-term variation of this measurement, and compare it to process-based land surface model predictions.

The Impact
The results show a more complex and different seasonal cycle than current land surface models predict. They also suggest a long-term decline in evapotranspiration from the forest, due to ecosystem functional change at the scale of the entire basin.

Figure 1. Maps showing (A) the annual mean precipitation in mm/yr, and (B) the length of the dry season in months where blue colors indicate wetter conditions and red and brown colors indicated drier conditions. An outline of the basin used in this analysis—the Amazon basin upstream of the gauging station at Óbidos—is shown in the black outline. Red markers indicate the location of four flux towers near the region from Wu et al. (2016).

 

Summary
Evapotranspiration, which comprises the sum of all moisture fluxes from an ecosystem directly to the atmosphere, is a crucial quantity at the center of the terrestrial energy, water, and carbon cycles. Because measurements of evapotranspiration are typically made at local scales, and are sparse over remote locations such as the Amazon, the larger-scale fluxes are not well known. We combined observations of rainfall, river discharge, and time-varying gravity anomalies to construct a water budget for the Amazon basin, which allows us to solve for evapotranspiration as the missing term in the budget. This water budget-based measurement shows a complex seasonal cycle, with a deeper minimum during the wet season than is estimated by other upscaling estimates or by process-based models, and also shows that models tend to increase their seasonal evapotranspiration fluxes later in the dry season than is observed. Furthermore, a long-term analysis of evapotranspiration suggests a decline in the rate over the period of observation, which could be evidence of a large-scale change in ecosystem function.

Contacts (BER PM): Daniel Stover, Dorothy Koch, Renu Joseph, SC-23.1, Daniel.Stover@science.doe.gov (301-903-0289), dorothy.koch@science.doe.gov (301-903-0105), Renu.Joseph@science.doe.gov (301-903-9237)

PI Contact: Charles Koven, Lawrence Berkeley National Lab, cdkoven@lbl.gov, 510.486.6724

Funding
ALSS was supported by National Science Foundation grants AGS-1321745 and AGS-1553715. CDK received support from the Regional and Global Climate Modeling program through the BGC-Feedbacks SFA and the Terrestrial Ecosystem Sciences and Earth System Modeling programs through the Next Generation Ecosystem Experiments-Tropics (NGEE-Tropics) project of the Biological and Environmental Research (BER) Program in the U. S. Dept. of Energy Office of Science.

Publications
Swann, A. L. S., and Koven , C. D. A direct estimate of the seasonal cycle of evapotranspiration over the Amazon. Journal of Hydrometeorology (2017) doi:10.1175/JHM-D-17-0004.1

Related Links
http://journals.ametsoc.org/doi/10.1175/JHM-D-17-0004.1

International Space Station observations offer insights into plant function

New instrumentation will be installed on the International Space Station that will provide a unique opportunity to gain important insights into poorly understood ecosystems                         

The Science
Ecosystems, particularly tropical forests, play an important role in determining the rate and extent of climate change by absorbing and storing about one-third of the carbon dioxide released when we use oil, coal and other fossil fuels. Our current understanding of how ecosystems take up and store carbon dioxide is limited to those areas that can be reached by the scientists that study them. However, these study sites only represent a small fraction of the total land area that we need to study in order to understand how much and for how long plants will continue to help slow the rise of atmospheric carbon dioxide concentration. New instrumentation and technology offers the opportunity to remotely measure many important properties of plants and ecosystems that will determine how the planet will respond to a changing climate and provide critical data for scientists to test models of how ecosystems will respond to a changing climate. Specifically, remote measurement of tree height, temperature, carbon dioxide take up and biochemical composition offers exciting new opportunities for science. This work highlights the deployment of this new instrumentation on the international space station (ISS), informs the scientific community of the opportunity presented by these measurements and describes ways to use this unique data. The work is the result of detailed discussions and an ongoing collaboration between ecosystem modelers, experimentalists, and remote sensing scientists.

The Impact
This comment provides a clear vision on the ways in which the experimental, modeling, and remote sensing communities can use simultaneous observations of ecosystem structure, function, composition, and biochemistry from a suite of novel sensors that will be installed on the International Space Station (ISS). Importantly, the collection of these remotely sensed data will improve our understanding of ecosystems as well as our ability to test predictive models.

Summary
In order to improve prediction of the ability of plants to slow the rate of climate change by absorbing and storing carbon dioxide our science desperately needs more data about the composition, function, and structure of terrestrial ecosystems, particularly in remote regions such as the tropics. Unfortunately, our current ability to measure and understand important ecosystem processes is too sparse, and too spatially biased to make significant progress. Satellite observations are the only source for the dense, frequent, spatially and temporally extensive records required. The unique collection of new measurements anticipated from the ISS will yield important new insights into ecosystem structure and function and provide important new observations to evaluate the models we use to understand how important ecosystems, such as tropical forests, will respond to a changing climate.

Contacts (BER PM): Daniel Stover, SC-23.1, Daniel.Stover@science.doe.gov (301-903-0289)

PI Contact
Lead PI: Natasha Stavros, NASA JPL, Natasha.Stavros@jpl.nasa.gov
BER funded PI: Shawn Serbin, Brookhaven National Laboratory, sserbin@bnl.gov

Funding
S.P. Serbin was supported by the Next-Generation Ecosystem Experiment (NGEE-Tropics) project. The NGEE-Tropics project is supported by the Office of Biological and Environmental Research in the Department of Energy, Office of Science. The Exploring New Multi-Instrument Approaches to Observing Terrestrial Ecosystems and the Carbon Cycle from Space workshop and participant travel costs were supported by the W. M. Keck foundation.

Publications
Stavros, NE, Schimel, D, Pavlick, R, Serbin, SP, Swann, A, Duncanson, L, Fisher, JB, Fassnacht, F, Ustin, S, Dubayah, R, Schweiger, A, Wennberg, P, “ISS observations offer insights into plant function.” Nature Ecology and Evolution, (1), 01974. DOI: 10.1038/s41559-017-0194

Related Links
Keck workshop link:
http://kiss.caltech.edu/new_website/workshops/ecosystem/ecosystem.html

Serbin (DOE-TES) workshop talk & video link:
-Talk: http://kiss.caltech.edu/study/ecosystem/Presentations/SSerbin_KISS_Workshop_final.pdf
-Video: https://www.youtube.com/watch?v=DmdsLM0Fl_Q

Leaf Phenology Important for Modeling Photosynthesis

The phenology of leaf quality and its within-canopy variation are essential for accurate photosynthesis modeling in tropical evergreen forests

The Science
The annual variation in tropical photosynthetic CO2 assimilation is about half the size of the terrestrial carbon sink and is therefore an important phenomenon to represent in terrestrial biosphere models (TBMs).  Three components of leaf phenology (i.e. quantity, quality, and within-canopy variation) all regulate tropical forest photosynthesis, but are absent or poorly represented in most TBMs. Here, by we demonstrate how these three components can be integrated in a mechanistic representation of tropical evergreen forest photosynthetic seasonality. We show that the photosynthetic seasonality was not sensitive to leaf quantity, but was highly sensitive to leaf quality and its within-canopy variation, with markedly more sensitivity to upper canopy leaf quality. Our work thus highlights the importance of incorporating more realistic phenological mechanisms in TBMs that seek to improve the projection of future carbon dynamics in tropical evergreen forests.

The Impact
This study has three important implications for the broader ecology, plant physiology, and modeling communities. (1) Our work demonstrates that an improved and prognostic understanding and model representation of tropical leaf phenology will be a key component in new models that seek to improve projections of carbon dynamics and potential climate feedbacks in the tropics. (2) By isolating biological drivers of photosynthesis from weather, our work highlights the need to improve our understanding and model representation of the fundamental physiological response to environmental variability in the tropics. (3) Our work also highlights the data paucity in the tropics that currently limits our ability to test and evaluate the proposed model framework at broader scales.

Summary

The average annual cycle of canopy photosynthesis (i.e. Gross Primary Productivity, GPP) under a reference environment, GPPref (i.e. an indicator of canopy integrated photosynthetic capacity), of a central Amazonian evergreen forest in Brazil was derived from eddy covariance (EC) measurements (years 2002-2005 and 2009-2011; black lines). Here we used a two-fraction leaf (sun vs. shade), two-layer (upper vs. lower) canopy model to examine the effects of three phenological components (i.e. quantity, quality, and within-canopy variation) on modeled GPPref. The model incorporating only the effect of “leaf quantity” is shown in yellow line, which does not follow EC-derived GPPref seasonality. The model incorporating the joint effects of “leaf quantity and leaf quality” is displayed in the blue line, which tracks the pattern of EC-derived GPPref seasonality, but only captures ~1/2 of the relative annual change. The model incorporating the effects from all three phenological components (i.e. quantity, quality, and within-canopy variation, approximated by ftop) is shown in green line, and tracks EC-derived GPPref seasonality in both phase and the relative annual change. Our results thus suggest that the phenology of leaf quality and its within-canopy variation are essential for accurate photosynthetic modeling in tropical evergreen forests.

Contacts (BER PM): Daniel Stover, SC-23.1, Daniel.Stover@science.doe.gov (301-903-0289)

PI Contact
Lead author contact: Jin Wu, Brookhaven National Laboratory, jinwu@bnl.gov
Institutional contact: Alistair Rogers, Brookhaven National Laboratory, arogers@bnl.gov

Funding
Wu, SP Serbin, and A Rogers were supported by the Next-Generation Ecosystem Experiment (NGEE-Tropics) project. The NGEE-Tropics project is supported by the Office of Biological and Environmental Research in the Department of Energy, Office of Science.

Publications
Wu J, Serbin SP, Xu X, Albert LP, Chen M, Meng R, Saleska SR, Rogers A. The phenology of leaf quality and its within-canopy variation are essential for accurate modeling of photosynthesis in tropical evergreen forests. Global change biology, 2017, doi:10.1111/gcb.13725. http://onlinelibrary.wiley.com/doi/10.1111/gcb.13725/epdf

Using traits to uncover tropical forest function (commentary in New Phytologist)

Nathan McDowell (NGEE-Tropics RO1 Drought Lead) of PNNL and Chonggang Xu of LANL recently penned a commentary in the May 2017 volume of New Phytologist on “Using traits to uncover tropical forest function). To read the commentary article, click here.

Windthrow Variability in Central Amazonia

Pioneering study, focused on Central Amazonia, shows for the first time the seasonal and interannual variability of windthrows, occurring more frequently between September and February.

Science
Windthrows are a recurring form of tree mortality in the Amazon and an important driver of forest dynamics and carbon storage. Our study shows that although windthrows occur all year long, they have a seasonal and interannual variability, occurring more frequently between September and February, driven by severe convective systems. Southerly squall lines have a higher frequency of occurrence and a greater effect on windthrows than previously reported.  At the interannual scale, we did not find an association between ENSO and windthrows.
Annual occurrence of windthrow. La Niña years highlighted in blue, El Niño years highlighted in red.

Impact
This study represents the first record of windthrow variability in the Amazon. Inclusion of windthrows in Earth System Models (ESMs) can help to reduce the uncertainties of climate prediction, given that windthrow-related tree mortality is not currently represented in ESMs.

Summary
Previous studies have shown that large windthrows in the Amazon are associated with squall lines, but whether the El Niño Southern Oscillation (ENSO) or seasonal rainfall are related to the occurrence of windthrows in the Amazon is unknown. In this study we present for the first time the seasonal and interannual variability of windthrows, focusing on Central Amazonia, and discuss the potential meteorological factors associated with this variability. Landsat images over the 1998-2010 time period were used to detect the occurrence of windthrows, which were identified based on their spectral characteristics and shape. Meteorological data were used to investigate the causes of windthrows. We found that windthrows occurred every year but were more frequent between September and February. Organized convective activity associated with multicell storms embedded in mesoscale convective systems, such as northerly squall lines (that move from northeast to southwest) and southerly squall lines (that move from southwest to northeast) can cause windthrows. We also found that southerly squall lines occurred more frequently than their previously reported ~50 year interval. At the interannual scale, we did not find an association between ENSO and windthrows.

Contact: Robinson Negron-Juarez, Lawrence Berkeley National Laboratory, robinson.inj@lbl.gov

Publication
Negron-Juarez, R.I., H. S. Jenkins, C. F. M. Raupp, W. J. Riley, L. M. Kueppers, D. Magnabosco Marra, G. H. P. Ribeiro, M. T. Monterio, L. A. Candido, J. Q. Chambers, N. Higuch (2017). Windthrow Variability in Central Amazonia. Atmosphere, 8(2), 28, doi:10.3390/atmos8020028

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