3 results on '"Brett T. Wolfe"'
Search Results
2. Plant water potential improves prediction of empirical stomatal models.
- Author
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William R L Anderegg, Adam Wolf, Adriana Arango-Velez, Brendan Choat, Daniel J Chmura, Steven Jansen, Thomas Kolb, Shan Li, Frederick Meinzer, Pilar Pita, Víctor Resco de Dios, John S Sperry, Brett T Wolfe, and Stephen Pacala
- Subjects
Medicine ,Science - Abstract
Climate change is expected to lead to increases in drought frequency and severity, with deleterious effects on many ecosystems. Stomatal responses to changing environmental conditions form the backbone of all ecosystem models, but are based on empirical relationships and are not well-tested during drought conditions. Here, we use a dataset of 34 woody plant species spanning global forest biomes to examine the effect of leaf water potential on stomatal conductance and test the predictive accuracy of three major stomatal models and a recently proposed model. We find that current leaf-level empirical models have consistent biases of over-prediction of stomatal conductance during dry conditions, particularly at low soil water potentials. Furthermore, the recently proposed stomatal conductance model yields increases in predictive capability compared to current models, and with particular improvement during drought conditions. Our results reveal that including stomatal sensitivity to declining water potential and consequent impairment of plant water transport will improve predictions during drought conditions and show that many biomes contain a diversity of plant stomatal strategies that range from risky to conservative stomatal regulation during water stress. Such improvements in stomatal simulation are greatly needed to help unravel and predict the response of ecosystems to future climate extremes.
- Published
- 2017
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3. A reporting format for leaf-level gas exchange data and metadata
- Author
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Chonggang Xu, Robert Crystal-Ornelas, Johan Uddling, Lucas A. Cernusak, Dushan Kumarathunge, Ellen Stuart-Haëntjens, John R. Evans, Sasha C. Reed, Belinda E. Medlyn, Shawn P. Serbin, Dedi Yang, Bruno O. Gimenez, Stephanie C. Schmiege, Danielle A. Way, Paul F. South, Qianyu Li, David Shaner LeBauer, Berkley J. Walker, Hendrik Poorter, Zhengbing Yan, Mauricio Tejera, J. Aaron Hogan, Stan D. Wullschleger, Aud H. Halbritter, Elizabeth P. Gordon, Loren P. Albert, Jin Wu, Nate G. McDowell, Martin G. De Kauwe, Kenneth J Davidson, Steve Bonnage, Thomas D. Sharkey, Jason R. Hupp, Nicholas G. Smith, Ashehad A. Ali, Tomas F. Domingues, Samuel H. Taylor, Julien Lamour, Mary A. Heskel, Deb Agarwal, Brett T. Wolfe, Álvaro Sanz-Sáez, Anthony P. Walker, Martijn Slot, Joseph R. Stinziano, Marjorie R. Lundgren, Alexandria L. Pivovaroff, Kolby J. Jardine, David T. Hanson, Thomas N. Buckley, Daisy C. Souza, Ülo Niinemets, J. Damerow, Chandra Bellasio, Amanda P. Cavanagh, Robinson I. Negrón-Juárez, Michael Dietze, Florian A. Busch, Jens Kattge, Andrew D. B. Leakey, David S. Ellsworth, Mirindi Eric Dusenge, James A. Bunce, Colin P. Osborne, Balasaheb V. Sonawane, Elizabeth A. Ainsworth, Alistair Rogers, Katherine Meacham-Hensold, Jeffrey M. Warren, Angela C. Burnett, Youngryel Ryu, Christopher M. Gough, Carl J. Bernacchi, Charuleka Varadharajan, David J. P. Moore, Vigdis Vandvik, Trevor F. Keenan, Michael J. Aspinwall, Johannes Kromdijk, Jeremiah Anderson, Kim S. Ely, Paul P. G. Gauthier, Burnett, Angela [0000-0002-2678-9842], Kromdijk, Johannes [0000-0003-4423-4100], and Apollo - University of Cambridge Repository
- Subjects
0106 biological sciences ,Computer science ,Information repository ,Reuse ,010603 evolutionary biology ,01 natural sciences ,Data type ,Documentation ,Information and Computing Sciences ,Irradiance ,Data reporting ,Photosynthesis ,Ecology, Evolution, Behavior and Systematics ,Metadata ,Ecology ,010604 marine biology & hydrobiology ,Applied Mathematics ,Ecological Modeling ,Data reporting format ,15. Life on land ,Biological Sciences ,Data science ,Discoverability ,Computer Science Applications ,Data Standard ,Data standard ,Computational Theory and Mathematics ,Carbon dioxide ,13. Climate action ,Modeling and Simulation ,ddc:333.7 - Abstract
Leaf-level gas exchange data support the mechanistic understanding of plant fluxes of carbon and water. These fluxes inform our understanding of ecosystem function, are an important constraint on parameterization of terrestrial biosphere models, are necessary to understand the response of plants to global environmental change, and are integral to efforts to improve crop production. Collection of these data using gas analyzers can be both technically challenging and time consuming, and individual studies generally focus on a small range of species, restricted time periods, or limited geographic regions. The high value of these data is exemplified by the many publications that reuse and synthesize gas exchange data, however the lack of metadata and data reporting conventions make full and efficient use of these data difficult. Here we propose a reporting format for leaf-level gas exchange data and metadata to provide guidance to data contributors on how to store data in repositories to maximize their discoverability, facilitate their efficient reuse, and add value to individual datasets. For data users, the reporting format will better allow data repositories to optimize data search and extraction, and more readily integrate similar data into harmonized synthesis products. The reporting format specifies data table variable naming and unit conventions, as well as metadata characterizing experimental conditions and protocols. For common data types that were the focus of this initial version of the reporting format, i.e., survey measurements, dark respiration, carbon dioxide and light response curves, and parameters derived from those measurements, we took a further step of defining required additional data and metadata that would maximize the potential reuse of those data types. To aid data contributors and the development of data ingest tools by data repositories we provided a translation table comparing the outputs of common gas exchange instruments. Extensive consultation with data collectors, data users, instrument manufacturers, and data scientists was undertaken in order to ensure that the reporting format met community needs. The reporting format presented here is intended to form a foundation for future development that will incorporate additional data types and variables as gas exchange systems and measurement approaches advance in the future. The reporting format is published in the U.S. Department of Energy's ESS-DIVE data repository, with documentation and future development efforts being maintained in a version control system. publishedVersion
- Published
- 2021
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