Articles | Volume 16, issue 21
https://doi.org/10.5194/gmd-16-6267-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-6267-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
07 Nov 2023
Development and technical paper |
| 07 Nov 2023
| 07 Nov 2023
Quantification of hydraulic trait control on plant hydrodynamics and risk of hydraulic failure within a demographic structured vegetation model in a tropical forest (FATES–HYDRO V1.0)
Chonggang Xu
CORRESPONDING AUTHOR
Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA
Bradley Christoffersen
School of Integrative Biological and Chemical Sciences, University of Texas Rio Grande Valley, Edinburg, TX, USA
Zachary Robbins
Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA
Ryan Knox
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Rosie A. Fisher
Climate system group, CICERO Centre for International Climate Research, Oslo, Norway
Rutuja Chitra-Tarak
Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA
Martijn Slot
Smithsonian Tropical Research Institute, Apartado 0843-03092, Ancón, Balboa, Republic of Panama
Kurt Solander
Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA
Lara Kueppers
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Energy and Resources Group, University of California, Berkeley, Berkeley, CA, USA
Charles Koven
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Nate McDowell
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA
School of Biological Sciences, Washington State University, Pullman, WA, USA
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The Functionally Assembled Terrestrial Ecosystem Simulator (FATES) is enhanced to mimic the ecological, biophysical, and biogeochemical processes following a logging event. The model can specify the timing and aerial extent of logging events; determine the survivorship of cohorts in the disturbed forest; and modifying the biomass, coarse woody debris, and litter pools. This study lays the foundation to simulate land use change and forest degradation in FATES as part of an Earth system model.
Cited articles
Adams, H. D., Zeppel, M. J. B., Anderegg, W. R. L., Hartmann, H., Landhausser, S. M., Tissue, D. T., Huxman, T. E., Hudson, P. J., Franz, T. E., Allen, C. D., Anderegg, L. D. L., Barron-Gafford, G. A., Beerling, D. J., Breshears, D. D., Brodribb, T. J., Bugmann, H., Cobb, R. C., Collins, A. D., Dickman, L. T., Duan, H. L., Ewers, B. E., Galiano, L., Galvez, D. A., Garcia-Forner, N., Gaylord, M. L., Germino, M. J., Gessler, A., Hacke, U. G., Hakamada, R., Hector, A., Jenkins, M. W., Kane, J. M., Kolb, T. E., Law, D. J., Lewis, J. D., Limousin, J. M., Love, D. M., Macalady, A. K., Martinez-Vilalta, J., Mencuccini, M., Mitchell, P. J., Muss, J. D., O'Brien, M. J., O'Grady, A. P., Pangle, R. E., Pinkard, E. A., Piper, F. I., Plaut, J. A., Pockman, W. T., Quirk, J., Reinhardt, K., Ripullone, F., Ryan, M. G., Sala, A., Sevanto, S., Sperry, J. S., Vargas, R., Vennetier, M., Way, D. A., Xu, C. G., Yepez, E. A., and McDowell, N. G.: A multi-species synthesis of physiological mechanisms in drought-induced tree mortality, Nat. Ecol. Evol., 1, 1285–1291, https://doi.org/10.1038/s41559-017-0248-x, 2017.
Anderegg, W. R. L., Klein, T., Bartlett, M., Sack, L., Pellegrini, A. F. A., Choat, B., and Jansen, S.: Meta-analysis reveals that hydraulic traits explain cross-species patterns of drought-induced tree mortality across the globe, P. Natl. Acad. Sci. USA, 113, 5024–5029, https://doi.org/10.1073/pnas.1525678113, 2016.
Anderegg, W. R. L., Konings, A. G., Trugman, A. T., Yu, K. L., Bowling, D. R., Gabbitas, R., Karp, D. S., Pacala, S., Sperry, J. S., Sulman, B. N., and Zenes, N.: Hydraulic diversity of forests regulates ecosystem resilience during drought, Nature, 561, 538–541, https://doi.org/10.1038/s41586-018-0539-7, 2018.
Arora, V. K., Katavouta, A., Williams, R. G., Jones, C. D., Brovkin, V., Friedlingstein, P., Schwinger, J., Bopp, L., Boucher, O., Cadule, P., Chamberlain, M. A., Christian, J. R., Delire, C., Fisher, R. A., Hajima, T., Ilyina, T., Joetzjer, E., Kawamiya, M., Koven, C. D., Krasting, J. P., Law, R. M., Lawrence, D. M., Lenton, A., Lindsay, K., Pongratz, J., Raddatz, T., Séférian, R., Tachiiri, K., Tjiputra, J. F., Wiltshire, A., Wu, T., and Ziehn, T.: Carbon–concentration and carbon–climate feedbacks in CMIP6 models and their comparison to CMIP5 models, Biogeosciences, 17, 4173–4222, https://doi.org/10.5194/bg-17-4173-2020, 2020.
Bartlett, M. K., Scoffoni, C., and Sack, L.: The determinants of leaf turgor loss point and prediction of drought tolerance of species and biomes: a global meta-analysis, Ecol. Lett., 15, 393–405, https://doi.org/10.1111/j.1461-0248.2012.01751.x, 2012.
Bartlett, M. K., Zhang, Y., Kreidler, N., Sun, S. W., Ardy, R., Cao, K. F., and Sack, L.: Global analysis of plasticity in turgor loss point, a key drought tolerance trait, Ecol. Lett., 17, 1580–1590, https://doi.org/10.1111/ele.12374, 2014.
Bartlett, M. K., Klein, T., Jansen, S., Choat, B., and Sack, L.: The correlations and sequence of plant stomatal, hydraulic, and wilting responses to drought, P. Natl. Acad. Sci. USA, 113, 13098–13103, https://doi.org/10.1073/pnas.1604088113, 2016.
Bennett, A. C., McDowell, N. G., Allen, C. D., and Anderson-Teixeira, K. J.: Larger trees suffer most during drought in forests worldwide, Nat. Plants, 1, 15139, https://doi.org/10.1038/Nplants.2015.139, 2015.
Berenguer, E., Lennox, G. D., Ferreira, J., Malhi, Y., Aragao, L. E. O. C., Barreto, J. R., Espirito-Santo, F. D., Figueiredo, A. E. S., Franca, F., Gardner, T. A., Joly, C. A., Palmeira, A. F., Quesada, C. A., Rossi, L. C., de Seixas, M. M. M., Smith, C. C., Withey, K., and Barlow, J.: Tracking the impacts of El Nino drought and fire in human-modified Amazonian forests, P. Natl. Acad. Sci. USA, 118, e2019377118, https://doi.org/10.1073/pnas.2019377118, 2021.
Bhagat, N., Raghav, M., Dubey, S., and Bedi, N.: Bacterial Exopolysaccharides: Insight into Their Role in Plant Abiotic Stress Tolerance, J. Microbiol. Biotech., 31, 1045–1059, https://doi.org/10.4014/jmb.2105.05009, 2021.
Binks, O., Meir, P., Rowland, L., da Costa, A. C. L., Vasconcelos, S. S., de Oliveira, A. A. R., Ferreira, L., Christoffersen, B., Nardini, A., and Mencuccini, M.: Plasticity in leaf-level water relations of tropical rainforest trees in response to experimental drought, New Phytol., 211, 477–488, https://doi.org/10.1111/nph.13927, 2016.
Bonal, D., Burban, B., Stahl, C., Wagner, F., and Herault, B.: The response of tropical rainforests to drought-lessons from recent research and future prospects, Ann. Forest Sci., 73, 27–44, https://doi.org/10.1007/s13595-015-0522-5, 2016.
Bonan, G. B.: Forests and climate change: Forcings, feedbacks, and the climate benefits of forests, Science, 320, 1444–1449, https://doi.org/10.1126/science.1155121, 2008.
Boyle, B., Hopkins, N., Lu, Z., Raygoza Garay, J. A., Mozzherin, D., Rees, T., Matasci, N., Narro, M. L., Piel, W. H., and Mckay, S. J.: The taxonomic name resolution service: an online tool for automated standardization of plant names, BMC Bioinformatics, 14, 1–15, 2013.
Breshears, D. D., Myers, O. B., Meyer, C. W., Barnes, F. J., Zou, C. B., Allen, C. D., McDowell, N. G., and Pockman, W. T.: Tree die-off in response to global change-type drought: mortality insights from a decade of plant water potential measurements, Front. Ecol. Environ., 7, 185–189, https://doi.org/10.1890/080016, 2009.
Caldwell, P. M., Mametjanov, A., Tang, Q., Van Roekel, L. P., Golaz, J. C., Lin, W. Y., Bader, D. C., Keen, N. D., Feng, Y., Jacob, R., Maltrud, M. E., Roberts, A. F., Taylor, M. A., Veneziani, M., Wang, H. L., Wolfe, J. D., Balaguru, K., Cameron-Smith, P., Dong, L., Klein, S. A., Leung, L. R., Li, H. Y., Li, Q., Liu, X. H., Neale, R. B., Pinheiro, M., Qian, Y., Ullrich, P. A., Xie, S. C., Yang, Y., Zhang, Y. Y., Zhang, K., and Zhou, T.: The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution, J. Adv. Model. Earth Sy., 11, 4095–4146, https://doi.org/10.1029/2019ms001870, 2019.
Chen, J. W., Zhang, Q., Li, X. S., and Cao, K. F.: Independence of stem and leaf hydraulic traits in six Euphorbiaceae tree species with contrasting leaf phenology, Planta, 230, 459–468, https://doi.org/10.1007/s00425-009-0959-6, 2009.
Chitra-Tarak, R., Xu, C. G., Aguilar, S., Anderson-Teixeira, K. J., Chambers, J., Detto, M., Faybishenko, B., Fisher, R. A., Knox, R. G., Koven, C. D., Kueppers, L. M., Kunert, N., Kupers, S. J., McDowell, N. G., Newman, B. D., Paton, S. R., Perez, R., Ruiz, L., Sack, L., Warren, J. M., Wolfe, B. T., Wright, C., Wright, S. J., Zailaa, J., and McMahon, S. M.: Hydraulically-vulnerable trees survive on deep-water access during droughts in a tropical forest, New Phytol., 231, 1798–1813, https://doi.org/10.1111/nph.17464, 2021.
Choat, B., Jansen, S., Brodribb, T. J., Cochard, H., Delzon, S., Bhaskar, R., Bucci, S. J., Feild, T. S., Gleason, S. M., Hacke, U. G., Jacobsen, A. L., Lens, F., Maherali, H., Martinez-Vilalta, J., Mayr, S., Mencuccini, M., Mitchell, P. J., Nardini, A., Pittermann, J., Pratt, R. B., Sperry, J. S., Westoby, M., Wright, I. J., and Zanne, A. E.: Global convergence in the vulnerability of forests to drought, Nature, 491, p. 752, https://doi.org/10.1038/nature11688, 2012.
Christoffersen, B. O., Gloor, M., Fauset, S., Fyllas, N. M., Galbraith, D. R., Baker, T. R., Kruijt, B., Rowland, L., Fisher, R. A., Binks, O. J., Sevanto, S., Xu, C., Jansen, S., Choat, B., Mencuccini, M., McDowell, N. G., and Meir, P.: Linking hydraulic traits to tropical forest function in a size-structured and trait-driven model (TFS v.1-Hydro), Geosci. Model Dev., 9, 4227–4255, https://doi.org/10.5194/gmd-9-4227-2016, 2016.
Dichio, B., Xiloyannis, C., Sofo, A., and Montanaro, G.: Osmotic regulation in leaves and roots of olive trees during a water deficit and rewatering, Tree Physiol., 26, 179–185, https://doi.org/10.1093/treephys/26.2.179, 2006.
Fang, Y., Leung, L. R., Knox, R., Koven, C., and Bond-Lamberty, B.: Impact of the numerical solution approach of a plant hydrodynamic model (v0.1) on vegetation dynamics, Geosci. Model Dev., 15, 6385–6398, https://doi.org/10.5194/gmd-15-6385-2022, 2022.
FATES Development Team: The Functionally Assembled Terrestrial Ecosystem Simulator (FATES) (FATES-HYDRO-SEN-V1), Zenodo [code], https://doi.org/10.5281/zenodo.7686333, 2023.
Fisher, R., McDowell, N., Purves, D., Moorcroft, P., Sitch, S., Cox, P., Huntingford, C., Meir, P., and Woodward, F. I.: Assessing uncertainties in a second-generation dynamic vegetation model caused by ecological scale limitations, New Phytol., 187, 666–681, https://doi.org/10.1111/j.1469-8137.2010.03340.x, 2010.
Fisher, R. A. and Koven, C. D.: Perspectives on the Future of Land Surface Models and the Challenges of Representing Complex Terrestrial Systems, J. Adv. Model. Earth Sy., 12, e2018MS001453, https://doi.org/10.1029/2018MS001453, 2020.
Fisher, R. A., Muszala, S., Verteinstein, M., Lawrence, P., Xu, C., McDowell, N. G., Knox, R. G., Koven, C., Holm, J., Rogers, B. M., Spessa, A., Lawrence, D., and Bonan, G.: Taking off the training wheels: the properties of a dynamic vegetation model without climate envelopes, CLM4.5(ED), Geosci. Model Dev., 8, 3593–3619, https://doi.org/10.5194/gmd-8-3593-2015, 2015.
Fisher, R. A., Koven, C. D., Anderegg, W. R. L., Christoffersen, B. O., Dietze, M. C., Farrior, C. E., Holm, J. A., Hurtt, G. C., Knox, R. G., Lawrence, P. J., Lichstein, J. W., Longo, M., Matheny, A. M., Medvigy, D., Muller-Landau, H. C., Powell, T. L., Serbin, S. P., Sato, H., Shuman, J. K., Smith, B., Trugman, A. T., Viskari, T., Verbeeck, H., Weng, E. S., Xu, C. G., Xu, X. T., Zhang, T., and Moorcroft, P. R.: Vegetation demographics in Earth System Models: A review of progress and priorities, Glob. Change Biol., 24, 35–54, https://doi.org/10.1111/gcb.13910, 2018.
Gleason, S. M., Westoby, M., Jansen, S., Choat, B., Hacke, U. G., Pratt, R. B., Bhaskar, R., Brodribb, T. J., Bucci, S. J., Cao, K. F., Cochard, H., Delzon, S., Domec, J. C., Fan, Z. X., Feild, T. S., Jacobsen, A. L., Johnson, D. M., Lens, F., Maherali, H., Martinez-Vilalta, J., Mayr, S., McCulloh, K. A., Mencuccini, M., Mitchell, P. J., Morris, H., Nardini, A., Pittermann, J., Plavcova, L., Schreiber, S. G., Sperry, J. S., Wright, I. J., and Zanne, A. E.: Weak tradeoff between xylem safety and xylem-specific hydraulic efficiency across the world's woody plant species, New Phytol., 209, 123–136, https://doi.org/10.1111/nph.13646, 2016.
Hammond, W. M., Yu, K., Wilson, L. A., Will, R. E., Anderegg, W. R. L., and Adams, H. D.: Dead or dying? Quantifying the point of no return from hydraulic failure in drought-induced tree mortality, New Phytol., 223, 1834–1843, https://doi.org/10.1111/nph.15922, 2019.
Hochberg, U., Rockwell, F. E., Holbrook, N. M., and Cochard, H.: Iso/Anisohydry: A Plant-Environment Interaction Rather Than a Simple Hydraulic Trait, Trends Plant Sci., 23, 112–120, https://doi.org/10.1016/j.tplants.2017.11.002, 2018.
Huang, M., Xu, Y., Longo, M., Keller, M., Knox, R. G., Koven, C. D., and Fisher, R. A.: Assessing impacts of selective logging on water, energy, and carbon budgets and ecosystem dynamics in Amazon forests using the Functionally Assembled Terrestrial Ecosystem Simulator, Biogeosciences, 17, 4999–5023, https://doi.org/10.5194/bg-17-4999-2020, 2020.
Iversen, C. M., McCormack, M. L., Powell, A. S., Blackwood, C. B., Freschet, G. T., Kattge, J., Roumet, C., Stover, D. B., Soudzilovskaia, N. A., Valverde-Barrantes, O. J., van Bodegom, P. M., and Violle, C.: A global Fine-Root Ecology Database to address below-ground challenges in plant ecology, New Phytol., 215, 15–26, https://doi.org/10.1111/nph.14486, 2017.
Kennedy, D., Swenson, S., Oleson, K. W., Lawrence, D. M., Fisher, R., da Costa, A. C. L., and Gentine, P.: Implementing Plant Hydraulics in the Community Land Model, Version 5, J. Adv. Model. Earth Sy., 11, 485–513, https://doi.org/10.1029/2018ms001500, 2019.
Klein, T.: The variability of stomatal sensitivity to leaf water potential across tree species indicates a continuum between isohydric and anisohydric behaviours, Funct. Ecol., 28, 1313–1320, https://doi.org/10.1111/1365-2435.12289, 2014.
Koven, C. D., Knox, R. G., Fisher, R. A., Chambers, J. Q., Christoffersen, B. O., Davies, S. J., Detto, M., Dietze, M. C., Faybishenko, B., Holm, J., Huang, M., Kovenock, M., Kueppers, L. M., Lemieux, G., Massoud, E., McDowell, N. G., Muller-Landau, H. C., Needham, J. F., Norby, R. J., Powell, T., Rogers, A., Serbin, S. P., Shuman, J. K., Swann, A. L. S., Varadharajan, C., Walker, A. P., Wright, S. J., and Xu, C.: Benchmarking and parameter sensitivity of physiological and vegetation dynamics using the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) at Barro Colorado Island, Panama, Biogeosciences, 17, 3017–3044, https://doi.org/10.5194/bg-17-3017-2020, 2020.
Kunert, N., Zailaa, J., Herrmann, V., Muller-Landau, H. C., Wright, S. J., Perez, R., McMahon, S. M., Condit, R. C., Hubbell, S. P., Sack, L., Davies, S. J., and Anderson-Teixeira, K. J.: Leaf turgor loss point shapes local and regional distributions of evergreen but not deciduous tropical trees, New Phytol., 230, 485–496, https://doi.org/10.1111/nph.17187, 2021.
Kursar, T. A., Engelbrecht, B. M. J., Burke, A., Tyree, M. T., El Omari, B., and Giraldo, J. P.: Tolerance to low leaf water status of tropical tree seedlings is related to drought performance and distribution, Funct. Ecol., 23, 93–102, https://doi.org/10.1111/j.1365-2435.2008.01483.x, 2009.
Lambert, M. S. A., Tang, H., Aas, K. S., Stordal, F., Fisher, R. A., Fang, Y., Ding, J., and Parmentier, F.-J. W.: Inclusion of a cold hardening scheme to represent frost tolerance is essential to model realistic plant hydraulics in the Arctic–boreal zone in CLM5.0-FATES-Hydro, Geosci. Model Dev., 15, 8809–8829, https://doi.org/10.5194/gmd-15-8809-2022, 2022.
Lawrence, D. M., Fisher, R. A., Koven, C. D., Oleson, K. W., Swenson, S. C., Bonan, G., Collier, N., Ghimire, B., van Kampenhout, L., Kennedy, D., Kluzek, E., Lawrence, P. J., Li, F., Li, H. Y., Lombardozzi, D., Riley, W. J., Sacks, W. J., Shi, M. J., Vertenstein, M., Wieder, W. R., Xu, C. G., Ali, A. A., Badger, A. M., Bisht, G., van den Broeke, M., Brunke, M. A., Burns, S. P., Buzan, J., Clark, M., Craig, A., Dahlin, K., Drewniak, B., Fisher, J. B., Flanner, M., Fox, A. M., Gentine, P., Hoffman, F., Keppel-Aleks, G., Knox, R., Kumar, S., Lenaerts, J., Leung, L. R., Lipscomb, W. H., Lu, Y. Q., Pandey, A., Pelletier, J. D., Perket, J., Randerson, J. T., Ricciuto, D. M., Sanderson, B. M., Slater, A., Subin, Z. M., Tang, J. Y., Thomas, R. Q., Martin, M. V., and Zeng, X. B.: The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty, J. Adv. Model. Earth Sy., 11, 4245–4287, https://doi.org/10.1029/2018ms001583, 2019.
Manzoni, S., Vico, G., Katul, G., Palmroth, S., Jackson, R. B., and Porporato, A.: Hydraulic limits on maximum plant transpiration and the emergence of the safety-efficiency trade-off, New Phytol., 198, 169–178, https://doi.org/10.1111/nph.12126, 2013.
Massoud, E. C., Xu, C., Fisher, R. A., Knox, R. G., Walker, A. P., Serbin, S. P., Christoffersen, B. O., Holm, J. A., Kueppers, L. M., Ricciuto, D. M., Wei, L., Johnson, D. J., Chambers, J. Q., Koven, C. D., McDowell, N. G., and Vrugt, J. A.: Identification of key parameters controlling demographically structured vegetation dynamics in a land surface model: CLM4.5(FATES), Geosci. Model Dev., 12, 4133–4164, https://doi.org/10.5194/gmd-12-4133-2019, 2019.
McDowell, N., Allen, C. D., Anderson-Teixeira, K., Brando, P., Brienen, R., Chambers, J., Christoffersen, B., Davies, S., Doughty, C., Duque, A., Espirito-Santo, F., Fisher, R., Fontes, C. G., Galbraith, D., Goodsman, D., Grossiord, C., Hartmann, H., Holm, J., Johnson, D. J., Kassim, A., Keller, M., Koven, C., Kueppers, L., Kumagai, T., Malhi, Y., McMahon, S. M., Mencuccini, M., Meir, P., Moorcroft, P., Muller-Landau, H. C., Phillips, O. L., Powell, T., Sierra, C. A., Sperry, J., Warren, J., Xu, C. G., and Xu, X. T.: Drivers and mechanisms of tree mortality in moist tropical forests, New Phytol., 219, 851–869, https://doi.org/10.1111/nph.15027, 2018.
McDowell, N. G., Fisher, R. A., Xu, C. G., Domec, J. C., Holtta, T., Mackay, D. S., Sperry, J. S., Boutz, A., Dickman, L., Gehres, N., Limousin, J. M., Macalady, A., Martinez-Vilalta, J., Mencuccini, M., Plaut, J. A., Ogee, J., Pangle, R. E., Rasse, D. P., Ryan, M. G., Sevanto, S., Waring, R. H., Williams, A. P., Yepez, E. A., and Pockman, W. T.: Evaluating theories of drought-induced vegetation mortality using a multimodel-experiment framework, New Phytol., 200, 304–321, https://doi.org/10.1111/nph.12465, 2013.
McDowell, N. G., Sapes, G., Pivovaroff, A., Adams, H. D., Allen, C. D., Anderegg, W. R. L., Arend, M., Breshears, D. D., Brodribb, T., Choat, B., Cochard, H., De Caceres, M., De Kauwe, M. G., Grossiord, C., Hammond, W. M., Hartmann, H., Hoch, G., Kahmen, A., Klein, T., Mackay, D. S., Mantova, M., Martinez-Vilalta, J., Medlyn, B. E., Mencuccini, M., Nardini, A., Oliveira, R. S., Sala, A., Tissue, D. T., Torres-Ruiz, J. M., Trowbridge, A. M., Trugman, A. T., Wiley, E., and Xu, C. G.: Mechanisms of woody-plant mortality under rising drought, CO2 and vapour pressure deficit, Nat. Rev. Earth Env., 3, 294–308, https://doi.org/10.1038/s43017-022-00272-1, 2022.
Moorcroft, P. R., Hurtt, G. C., and Pacala, S. W.: A method for scaling vegetation dynamics: The ecosystem demography model (ED), Ecol. Monogr., 71, 557–585, https://doi.org/10.1890/0012-9615(2001)071[0557:Amfsvd]2.0.Co;2, 2001.
Needham, J. F., Chambers, J., Fisher, R., Knox, R., and Koven, C. D.: Forest responses to simulated elevated CO2 under alternate hypotheses of size- and age-dependent mortality, Glob. Change Biol., 26, 5734–5753, https://doi.org/10.1111/gcb.15254, 2020.
Norman, J.: Modelling the complete crop canopy, in Modification of the Aerial Environment of Plants, Am. Soc. Agri. Eng. Monogr., 2, 249–277, 1979.
North, G. B. and Nobel, P. S.: Drought-Induced Changes in Hydraulic Conductivity and Structure in Roots of Ferocactus-Acanthodes and Opuntia-Ficus-Indica, New Phytol., 120, 9–19, https://doi.org/10.1111/j.1469-8137.1992.tb01053.x, 1992.
Oleson, K. W., Lawrence, D. M., Bonan, G. B., Drewniak, B., Huang, M., Koven, C. D., Levis, S., Li, F., Riley, W. J., Subin, Z. M., Swenson, S. C., Thornton, P. E., Bozbiyik, A., Fisher, R., Heald, C. L., Kluzek, E., Lamarque, J.-F., Lawrence, P. J., Leung, L. R., Lipscomb, W., Muszala, S., Ricciuto, D. M., Sacks, W., Sun, Y., Tang, J., and Yang, Z.-L.: Technical description of version 4.5 of the Community Land Model (CLM) National Center for Atmospheric Research, Boulder, Colorado, USA, Tech. Rep. NCAR/TN-503+STR, https://doi.org/10.5065/D6RR1W7M, 2013.
Olson, M. E., Anfodillo, T., Gleason, S. M., and McCulloh, K. A.: Tip-to-base xylem conduit widening as an adaptation: causes, consequences, and empirical priorities, New Phytol., 229, 1877–1893, https://doi.org/10.1111/nph.16961, 2021.
Paton, S.: Yearly Reports_Barro Colorado Island, Smithsonian Tropical Research Institute, https://doi.org/10.25573/data.11799111.v3, 2020.
Pineda-Garcia, F., Paz, H., and Meinzer, F. C.: Drought resistance in early and late secondary successional species from a tropical dry forest: the interplay between xylem resistance to embolism, sapwood water storage and leaf shedding, Plant Cell Environ., 36, 405–418, https://doi.org/10.1111/j.1365-3040.2012.02582.x, 2013.
Poudel, M., Mendes, R., Costa, L. A., Bueno, C. G., Meng, Y., Folimonova, S. Y., Garrett, K. A., and Martins, S. J.: The role of plant-associated bacteria, fungi, and viruses in drought stress mitigation, Front. Microbiol., 12, 3058, https://doi.org/10.3389/fmicb.2021.743512, 2021.
Powell, T. L., Wheeler, J. K., de Oliveira, A. A. R., da Costa, A. C. L., Saleska, S. R., Meir, P., and Moorcroft, P. R.: Differences in xylem and leaf hydraulic traits explain differences in drought tolerance among mature Amazon rainforest trees, Glob. Change Biol., 23, 4280–4293, https://doi.org/10.1111/gcb.13731, 2017.
Powell, T. L., Koven, C. D., Johnson, D. J., Faybishenko, B., Fisher, R. A., Knox, R. G., McDowell, N. G., Condit, R., Hubbell, S. P., Wright, S. J., Chambers, J. Q., and Kueppers, L. M.: Variation in hydroclimate sustains tropical forest biomass and promotes functional diversity, New Phytol., 219, 932–946, https://doi.org/10.1111/nph.15271, 2018.
Roderick, M. L., Berry, S. L., Saunders, A. R., and Noble, I. R.: On the relationship between the composition, morphology and function of leaves, Funct. Ecol., 13, 696–710, https://doi.org/10.1046/j.1365-2435.1999.00369.x, 1999.
Rodriguez-Zaccaro, F. D., Valdovinos-Ayala, J., Percolla, M. I., Venturas, M. D., Pratt, R. B., and Jacobsen, A. L.: Wood structure and function change with maturity: Age of the vascular cambium is associated with xylem changes in current-year growth, Plant Cell Environ., 42, 1816–1831, https://doi.org/10.1111/pce.13528, 2019.
Rowland, L., da Costa, A. C. L., Galbraith, D. R., Oliveira, R. S., Binks, O. J., Oliveira, A. A. R., Pullen, A. M., Doughty, C. E., Metcalfe, D. B., Vasconcelos, S. S., Ferreira, L. V., Malhi, Y., Grace, J., Mencuccini, M., and Meir, P.: Death from drought in tropical forests is triggered by hydraulics not carbon starvation, Nature, 528, p. 119, https://doi.org/10.1038/nature15539, 2015.
Sack, L., Cowan, P. D., Jaikumar, N., and Holbrook, N. M.: The “hydrology” of leaves: co-ordination of structure and function in temperate woody species, Plant Cell Environ., 26, 1343–1356, https://doi.org/10.1046/j.0016-8025.2003.01058.x, 2003.
Savage, V. M., Bentley, L. P., Enquist, B. J., Sperry, J. S., Smith, D. D., Reich, P. B., and von Allmen, E. I.: Hydraulic trade-offs and space filling enable better predictions of vascular structure and function in plants, P. Natl. Acad. Sci. USA, 107, 22722–22727, https://doi.org/10.1073/pnas.1012194108, 2010.
Schmidhalter, U.: The gradient between pre-dawn rhizoplane and bulk soil matric potentials, and its relation to the pre-dawn root and leaf water potentials of four species, Plant Cell Environ., 20, 953–960, https://doi.org/10.1046/j.1365-3040.1997.d01-136.x, 1997.
Seneviratne, S. I., Zhang, X., Adnan, M., Badi, W., Dereczynski, C., Luca, A. D., Ghosh, S., Iskandar, I., Kossin, J., Lewis, S., Otto, F., Pinto, I., Satoh, M., Vicente-Serrano, S. M., Wehner, M., Zhou, B., and Allan, R.: Weather and climate extreme events in a changing climate, in: Climate Change 2021: The Physical Science Basis: Working Group I contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Masson-Delmotte, V. P., Zhai, A., Pirani, S. L., and Connors, C., Cambridge University Press, Cambridge, UK, 1513–1766, https://doi.org/10.1017/9781009157896.013, 2021.
Shinozaki, K., Yoda, K., Hozumi, K., and Kira, T.: A quantitative analysis of plant form-the pipe model theory: I. Basic analyses, Jpn. J. Ecol., 14, 97–105, 1964.
Slot, M., Nardwattanawong, T., Hernandez, G. G., Bueno, A., Riederer, M., and Winter, K.: Large differences in leaf cuticle conductance and its temperature response among 24 tropical tree species from across a rainfall gradient, New Phytol., 232, 1618–1631, https://doi.org/10.1111/nph.17626, 2021.
Smith, D. D., Sperry, J. S., Enquist, B. J., Savage, V. M., McCulloh, K. A., and Bentley, L. P.: Deviation from symmetrically self-similar branching in trees predicts altered hydraulics, mechanics, light interception and metabolic scaling, New Phytol., 201, 217–229, https://doi.org/10.1111/nph.12487, 2014.
Sperry, J. S. and Love, D. M.: What plant hydraulics can tell us about responses to climate-change droughts, New Phytol., 207, 14–27, https://doi.org/10.1111/nph.13354, 2015.
Su, R., Liu, H., Wang, C., Zhang, H., and Cui, J.: Leaf turgor loss point is one of the best predictors of drought-induced tree mortality in tropical forest, Front. Ecol. Evol., 10, 974004, https://doi.org/10.3389/fevo.2022.974004, 2022.
Tyree, M. T. and Yang, S.: Water-storage capacity of Thuja, Tsuga and Acer stems measured by dehydration isotherms: the contribution of capillary water and cavitation, Planta, 182, 420–426, 1990.
Wei, L., Xu, C. G., Jansen, S., Zhou, H., Christoffersen, B. O., Pockman, W. T., Middleton, R. S., Marshall, J. D., and McDowell, N. G.: A heuristic classification of woody plants based on contrasting shade and drought strategies, Tree Physiol., 39, 767–781, https://doi.org/10.1093/treephys/tpy146, 2019.
Wolfe, B. T.: Bark water vapour conductance is associated with drought performance in tropical trees, Biol. Lett., 16, 20200263, https://doi.org/10.1098/rsbl.2020.0263, 2020.
Wright, S. J., Kitajima, K., Kraft, N. J. B., Reich, P. B., Wright, I. J., Bunker, D. E., Condit, R., Dalling, J. W., Davies, S. J., Diaz, S., Engelbrecht, B. M. J., Harms, K. E., Hubbell, S. P., Marks, C. O., Ruiz-Jaen, M. C., Salvador, C. M., and Zanne, A. E.: Functional traits and the growth-mortality trade-off in tropical trees, Ecology, 91, 3664–3674, doi10.1890/09-2335.1, 2010.
Xu, C. G. and Gertner, G.: Understanding and comparisons of different sampling approaches for the Fourier Amplitudes Sensitivity Test (FAST), Comput. Stat. Data An., 55, 184–198, https://doi.org/10.1016/j.csda.2010.06.028, 2011a.
Xu, C. G. and Gertner, G. Z.: Reliability of global sensitivity indices, J. Stat. Comput. Sim., 81, 1939–1969, https://doi.org/10.1080/00949655.2010.509317, 2011b.
Xu, C. G., McDowell, N. G., Fisher, R. A., Wei, L., Sevanto, S., Christoffersen, B. O., Weng, E. S., and Middleton, R. S.: Increasing impacts of extreme droughts on vegetation productivity under climate change, Nat. Clim. Change, 9, 948, https://doi.org/10.1038/s41558-019-0630-6, 2019.
Xu, X. T., Medvigy, D., Powers, J. S., Becknell, J. M., and Guan, K. Y.: Diversity in plant hydraulic traits explains seasonal and inter-annual variations of vegetation dynamics in seasonally dry tropical forests, New Phytol., 212, 80–95, https://doi.org/10.1111/nph.14009, 2016.
Yang, S. D. and Tyree, M. T.: Hydraulic Resistance in Acer-Saccharum Shoots and Its Influence on Leaf Water Potential and Transpiration, Tree Physiol., 12, 231–242, https://doi.org/10.1093/treephys/12.3.231, 1993.
Short summary
We introduce a plant hydrodynamic model for the U.S. Department of Energy (DOE)-sponsored model, the Functionally Assembled Terrestrial Ecosystem Simulator (FATES). To better understand this new model system and its functionality in tropical forest ecosystems, we conducted a global parameter sensitivity analysis at Barro Colorado Island, Panama. We identified the key parameters that affect the simulated plant hydrodynamics to guide both modeling and field campaign studies.
We introduce a plant hydrodynamic model for the U.S. Department of Energy (DOE)-sponsored model,...
