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Drought effects on carbon cycling

The response of forest ecosystems to drought is increasingly important in the context of a warming climate. Anderegg et al. studied a tree-ring database of 1338 forest sites from around the globe. They found that forests exhibit a drought “legacy effect” with 3 to 4 years' reduced growth following drought. During this postdrought delay, forests will be less able to act as a sink for carbon. Incorporating forest legacy effects into Earth system models will provide more accurate predictions of the effects of drought on the global carbon cycle.
Science, this issue p. 528

Abstract

The impacts of climate extremes on terrestrial ecosystems are poorly understood but important for predicting carbon cycle feedbacks to climate change. Coupled climate–carbon cycle models typically assume that vegetation recovery from extreme drought is immediate and complete, which conflicts with the understanding of basic plant physiology. We examined the recovery of stem growth in trees after severe drought at 1338 forest sites across the globe, comprising 49,339 site-years, and compared the results with simulated recovery in climate-vegetation models. We found pervasive and substantial “legacy effects” of reduced growth and incomplete recovery for 1 to 4 years after severe drought. Legacy effects were most prevalent in dry ecosystems, among Pinaceae, and among species with low hydraulic safety margins. In contrast, limited or no legacy effects after drought were simulated by current climate-vegetation models. Our results highlight hysteresis in ecosystem-level carbon cycling and delayed recovery from climate extremes.
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Supplementary Material

Summary

Materials and Methods
Figs. S1 to S10
Table S1
References (4067)

Resources

File (aab1833-anderegg-sm.pdf)

REFERENCES AND NOTES

1
Intergovernmental Panel on Climate Change, in Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, T. F. Stocker et al., Eds. (Cambridge Univ. Press, Cambridge, 2013), pp. 3–29.
2
D. R. Easterling, G. A. Meehl, C. Parmesan, S. A. Changnon, T. R. Karl, L. O. Mearns, Climate extremes: observations, modeling, and impacts. Science 289, 2068–2074 (2000).
3
Medvigy D., Wofsy S. C., Munger J. W., Moorcroft P. R., Responses of terrestrial ecosystems and carbon budgets to current and future environmental variability. Proc. Natl. Acad. Sci. U.S.A. 107, 8275–8280 (2010).
4
Smith M. D., The ecological role of climate extremes: Current understanding and future prospects. J. Ecol. 99, 651–655 (2011).
5
Ciais P., Reichstein M., Viovy N., Granier A., Ogée J., Allard V., Aubinet M., Buchmann N., Bernhofer C., Carrara A., Chevallier F., De Noblet N., Friend A. D., Friedlingstein P., Grünwald T., Heinesch B., Keronen P., Knohl A., Krinner G., Loustau D., Manca G., Matteucci G., Miglietta F., Ourcival J. M., Papale D., Pilegaard K., Rambal S., Seufert G., Soussana J. F., Sanz M. J., Schulze E. D., Vesala T., Valentini R., Europe-wide reduction in primary productivity caused by the heat and drought in 2003. Nature 437, 529–533 (2005).
6
Bonan G. B., Forests and climate change: Forcings, feedbacks, and the climate benefits of forests. Science 320, 1444–1449 (2008).
7
Cox P. M., Betts R. A., Collins M., Harris P. P., Huntingford C., Jones C. D., Amazonian forest dieback under climate-carbon cycle projections for the 21st century. Theor. Appl. Climatol. 78, 137–156 (2004).
8
Hirota M., Holmgren M., Van Nes E. H., Scheffer M., Global resilience of tropical forest and savanna to critical transitions. Science 334, 232–235 (2011).
9
Staver A. C., Archibald S., Levin S. A., The global extent and determinants of savanna and forest as alternative biome states. Science 334, 230–232 (2011).
10
Malhi Y., Aragão L. E., Galbraith D., Huntingford C., Fisher R., Zelazowski P., Sitch S., McSweeney C., Meir P., Exploring the likelihood and mechanism of a climate-change-induced dieback of the Amazon rainforest. Proc. Natl. Acad. Sci. U.S.A. 106, 20610–20615 (2009).
11
Huntingford C., Zelazowski P., Galbraith D., Mercado L. M., Sitch S., Fisher R., Lomas M., Walker A. P., Jones C. D., Booth B. B. B., Malhi Y., Hemming D., Kay G., Good P., Lewis S. L., Phillips O. L., Atkin O. K., Lloyd J., Gloor E., Zaragoza-Castells J., Meir P., Betts R., Harris P. P., Nobre C., Marengo J., Cox P. M., Simulated resilience of tropical rainforests to CO2-induced climate change. Nat. Geosci. 6, 268–273 (2013).
12
Ponce Campos G. E., Moran M. S., Huete A., Zhang Y., Bresloff C., Huxman T. E., Eamus D., Bosch D. D., Buda A. R., Gunter S. A., Scalley T. H., Kitchen S. G., McClaran M. P., McNab W. H., Montoya D. S., Morgan J. A., Peters D. P., Sadler E. J., Seyfried M. S., Starks P. J., Ecosystem resilience despite large-scale altered hydroclimatic conditions. Nature 494, 349–352 (2013).
13
Allen C. D., Macalady A. K., Chenchouni H., Bachelet D., McDowell N., Vennetier M., Kitzberger T., Rigling A., Breshears D. D., Hogg E. H. T., Gonzalez P., Fensham R., Zhang Z., Castro J., Demidova N., Lim J.-H., Allard G., Running S. W., Semerci A., Cobb N., A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. For. Ecol. Manage. 259, 660–684 (2010).
14
Kurz W. A., Dymond C. C., Stinson G., Rampley G. J., Neilson E. T., Carroll A. L., Ebata T., Safranyik L., Mountain pine beetle and forest carbon feedback to climate change. Nature 452, 987–990 (2008).
15
Phillips O. L., Aragão L. E. O.C., Lewis S. L., Fisher J. B., Lloyd J., López-González G., Malhi Y., Monteagudo A., Peacock J., Quesada C. A., van der Heijden G., Almeida S., Amaral I., Arroyo L., Aymard G., Baker T. R., Bánki O., Blanc L., Bonal D., Brando P., Chave J., de Oliveira A. C. A., Cardozo N. D., Czimczik C. I., Feldpausch T. R., Freitas M. A., Gloor E., Higuchi N., Jiménez E., Lloyd G., Meir P., Mendoza C., Morel A., Neill D. A., Nepstad D., Patiño S., Peñuela M. C., Prieto A., Ramírez F., Schwarz M., Silva J., Silveira M., Thomas A. S., Steege H. T., Stropp J., Vásquez R., Zelazowski P., A. Dávila E., Andelman S., Andrade A., Chao K.-J., Erwin T., Di Fiore A., Honorio C. E., Keeling H., Killeen T. J., Laurance W. F., Peña Cruz A., Pitman N. C. A., N. Vargas P., Ramírez-Angulo H., Rudas A., Salamão R., Silva N., Terborgh J., Torres-Lezama A., Drought sensitivity of the Amazon rainforest. Science 323, 1344–1347 (2009).
16
Sitch S., Huntingford C., Gedney N., Levy P. E., Lomas M., Piao S. L., Betts R., Ciais P., Cox P., Friedlingstein P., Jones C. D., Prentice I. C., Woodward F. I., Evaluation of the terrestrial carbon cycle, future plant geography and climate-carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs). Glob. Change Biol. 14, 2015–2039 (2008).
17
Gutschick V. P., BassiriRad H., Extreme events as shaping physiology, ecology, and evolution of plants: Toward a unified definition and evaluation of their consequences. New Phytol. 160, 21–42 (2003).
18
Arnone J. A., Verburg P. S., Johnson D. W., Larsen J. D., Jasoni R. L., Lucchesi A. J., Batts C. M., von Nagy C., Coulombe W. G., Schorran D. E., Buck P. E., Braswell B. H., Coleman J. S., Sherry R. A., Wallace L. L., Luo Y., Schimel D. S., Prolonged suppression of ecosystem carbon dioxide uptake after an anomalously warm year. Nature 455, 383–386 (2008).
19
Ahlström A., Raupach M. R., Schurgers G., Smith B., Arneth A., Jung M., Reichstein M., Canadell J. G., Friedlingstein P., Jain A. K., Kato E., Poulter B., Sitch S., Stocker B. D., Viovy N., Wang Y. P., Wiltshire A., Zaehle S., Zeng N., The dominant role of semi-arid ecosystems in the trend and variability of the land CO2 sink. Science 348, 895–899 (2015).
20
Virlouvet L., Fromm M., Physiological and transcriptional memory in guard cells during repetitive dehydration stress. New Phytol. 205, 596–607 (2015).
21
Ogle K., Barber J. J., Barron-Gafford G. A., Bentley L. P., Young J. M., Huxman T. E., Loik M. E., Tissue D. T., Quantifying ecological memory in plant and ecosystem processes. Ecol. Lett. 18, 221–235 (2015).
22
Corcuera L., Camarero J. J., Gil-Pelegrín E., Effects of a severe drought on Quercus ilex radial growth and xylem anatomy. Trees (Berlin) 18, 83–92 (2004).
23
Hacke U. G., Stiller V., Sperry J. S., Pittermann J., McCulloh K. A., Cavitation fatigue. Embolism and refilling cycles can weaken the cavitation resistance of xylem. Plant Physiol. 125, 779–786 (2001).
24
Anderegg W. R. L., Berry J. A., Field C. B., Linking definitions, mechanisms, and modeling of drought-induced tree death. Trends Plant Sci. 17, 693–700 (2012).
25
Anderegg W. R. L., Plavcová L., Anderegg L. D., Hacke U. G., Berry J. A., Field C. B., Drought’s legacy: Multiyear hydraulic deterioration underlies widespread aspen forest die-off and portends increased future risk. Glob. Change Biol. 19, 1188–1196 (2013).
26
Zhang Y., Moran M. S., Nearing M. A., Ponce Campos G. E., Huete A. R., Buda A. R., Bosch D. D., Gunter S. A., Kitchen S. G., McNab W. H., Morgan J. A., McClaran M. P., Montoya D. S., Peters D. P. C., Starks P. J., Extreme precipitation patterns and reductions of terrestrial ecosystem production across biomes. J. Geophys. Res. Biogeosci. 118, 148–157.
27
Grissino-Mayer H. D., Fritts H. C., The International Tree-Ring Data Bank: An enhanced global database serving the global scientific community. Holocene 7, 235–238 (1997).
28
Clark D. A., Brown S., Kicklighter D. W., Chambers J. Q., Thomlinson J. R., Ni J., Measuring net primary production in forests: Concepts and field methods. Ecol. Appl. 11, 356–370 (2001).
29
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., Martínez-Vilalta J., Mayr S., Mencuccini M., Mitchell P. J., Nardini A., Pittermann J., Pratt R. B., Sperry J. S., Westoby M., Wright I. J., Zanne A. E., Global convergence in the vulnerability of forests to drought. Nature 491, 752–755 (2012).
30
Materials and methods are available as supplementary materials on Science Online.
31
Brodribb T. J., McAdam S. A., Jordan G. J., Martins S. C., Conifer species adapt to low-rainfall climates by following one of two divergent pathways. Proc. Natl. Acad. Sci. U.S.A. 111, 14489–14493 (2014).
32
E. Shevliakova, S. W. Pacala, S. Malyshev, G. C. Hurtt, P. C. D. Milly, J. P. Caspersen, L. T. Sentman, J. P. Fisk, C. Wirth, C. Crevoisier, Carbon cycling under 300 years of land use change: Importance of the secondary vegetation sink. Glob. Biogeochem. Cycles 23, GB2022 (2009).
33
Shinozaki K., Yoda K., Hozumi K., Kira T., A quantitative analysis of plant form – the pipe model theory: I. Basic analyses. Jap. J. Ecol. 14, 97–105 (1964).
34
Reichstein M., Bahn M., Ciais P., Frank D., Mahecha M. D., Seneviratne S. I., Zscheischler J., Beer C., Buchmann N., Frank D. C., Papale D., Rammig A., Smith P., Thonicke K., van der Velde M., Vicca S., Walz A., Wattenbach M., Climate extremes and the carbon cycle. Nature 500, 287–295 (2013).
35
Powell T. L., Galbraith D. R., Christoffersen B. O., Harper A., Imbuzeiro H. M., Rowland L., Almeida S., Brando P. M., da Costa A. C., Costa M. H., Levine N. M., Malhi Y., Saleska S. R., Sotta E., Williams M., Meir P., Moorcroft P. R., Confronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought. New Phytol. 200, 350–365 (2013).
36
Dybzinski R., Farrior C., Wolf A., Reich P. B., Pacala S. W., Evolutionarily stable strategy carbon allocation to foliage, wood, and fine roots in trees competing for light and nitrogen: An analytically tractable, individual-based model and quantitative comparisons to data. Am. Nat. 177, 153–166 (2011).
37
Farrior C. E., Dybzinski R., Levin S. A., Pacala S. W., Competition for water and light in closed-canopy forests: A tractable model of carbon allocation with implications for carbon sinks. Am. Nat. 181, 314–330 (2013).
38
Saatchi S., Asefi-Najafabady S., Malhi Y., Aragão L. E., Anderson L. O., Myneni R. B., Nemani R., Persistent effects of a severe drought on Amazonian forest canopy. Proc. Natl. Acad. Sci. U.S.A. 110, 565–570 (2013).
39
Brienen R. J. W., Phillips O. L., Feldpausch T. R., Gloor E., Baker T. R., Lloyd J., Lopez-Gonzalez G., Monteagudo-Mendoza A., Malhi Y., Lewis S. L., Vásquez Martinez R., Alexiades M., Álvarez Dávila E., Alvarez-Loayza P., Andrade A., Aragão L. E., Araujo-Murakami A., Arets E. J., Arroyo L., Aymard C G. A., Bánki O. S., Baraloto C., Barroso J., Bonal D., Boot R. G., Camargo J. L., Castilho C. V., Chama V., Chao K. J., Chave J., Comiskey J. A., Cornejo Valverde F., da Costa L., de Oliveira E. A., Di Fiore A., Erwin T. L., Fauset S., Forsthofer M., Galbraith D. R., Grahame E. S., Groot N., Hérault B., Higuchi N., Honorio Coronado E. N., Keeling H., Killeen T. J., Laurance W. F., Laurance S., Licona J., Magnussen W. E., Marimon B. S., Marimon-Junior B. H., Mendoza C., Neill D. A., Nogueira E. M., Núñez P., Pallqui Camacho N. C., Parada A., Pardo-Molina G., Peacock J., Peña-Claros M., Pickavance G. C., Pitman N. C., Poorter L., Prieto A., Quesada C. A., Ramírez F., Ramírez-Angulo H., Restrepo Z., Roopsind A., Rudas A., Salomão R. P., Schwarz M., Silva N., Silva-Espejo J. E., Silveira M., Stropp J., Talbot J., ter Steege H., Teran-Aguilar J., Terborgh J., Thomas-Caesar R., Toledo M., Torello-Raventos M., Umetsu R. K., van der Heijden G. M., van der Hout P., Guimarães Vieira I. C., Vieira S. A., Vilanova E., Vos V. A., Zagt R. J., Long-term decline of the Amazon carbon sink. Nature 519, 344–348 (2015).
40
F. Biondi, T. W. Swetnam, Box-Jenkins models of forest interior tree-ring chronologies. Tree-Ring Bull. 47 (1987); http://arizona.openrepository.com/arizona/handle/10150/261796.
41
E. R. Cook, L. A. Kairiukstis, Eds., Methods of Dendrochronology: Applications in the Environmental Sciences (Springer Netherlands, Heidelberg, Germany, 1990).
42
Vicente-Serrano S. M., Gouveia C., Camarero J. J., Beguería S., Trigo R., López-Moreno J. I., Azorín-Molina C., Pasho E., Lorenzo-Lacruz J., Revuelto J., Morán-Tejeda E., Sanchez-Lorenzo A., Response of vegetation to drought time-scales across global land biomes. Proc. Natl. Acad. Sci. U.S.A. 110, 52–57 (2013).
43
Vicente-Serrano S. M., Camarero J. J., Azorin-Molina C., Diverse responses of forest growth to drought time-scales in the Northern Hemisphere. Glob. Ecol. Biogeogr. 23, 1019–1030 (2014).
44
Williams A. P., Allen C. D., Millar C. I., Swetnam T. W., Michaelsen J., Still C. J., Leavitt S. W., Forest responses to increasing aridity and warmth in the southwestern United States. Proc. Natl. Acad. Sci. U.S.A. 107, 21289–21294 (2010).
45
Harris I., Jones P., Osborn T., Lister D., Updated high‐resolution grids of monthly climatic observations–the CRU TS3.10 Dataset. Int. J. Climatol. 34, 623–642 (2014).
46
Schneider U., Becker A., Finger P., Meyer-Christoffer A., Ziese M., Rudolf B., GPCC’s new land surface precipitation climatology based on quality-controlled in situ data and its role in quantifying the global water cycle. Theor. Appl. Climatol. 115, 15–40 (2014).
47
Chen M., Xie P., Janowiak J. E., Arkin P. A., Global land precipitation: A 50-yr monthly analysis based on gauge observations. J. Hydrometeorol. 3, 249–266 (2002).
48
Sheffield J., Goteti G., Wood E. F., Development of a 50-year high-resolution global dataset of meteorological forcings for land surface modeling. J. Clim. 19, 3088–3111 (2006).
49
Monteith J. L., Evaporation and environment. Symp. Soc. Exp. Biol. 19, 205–234 (1965).
50
Thornthwaite C. W., An approach toward a rational classification of climate. Geogr. Rev. 38, 55–94 (1948).
51
Dai A., Characteristics and trends in various forms of the Palmer Drought Severity Index during 1900–2008. J. Geophys. Res. 116, D12115 (2011).
52
Ek M. B., Mitchell K. E., Lin Y., Rogers E., Grunmann P., Koren V., Gayno G., Gayno G., Tarpley J. D., Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model. J. Geophys. Res. Atmos. 108, 8851 (2003).
53
Xia Y., Mitchell K., Ek M., Sheffield J., Cosgrove B., Wood E., Luo L., Alonge C., Wei H., Meng J., Livneh B., Lettenmaier D., Koren V., Duan Q., Mo K., Fan Y., Mocko D., Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products. J. Geophys. Res. Atmos. 117, D03109 (2012).
54
Stephenson N., Actual evapotranspiration and deficit: Biologically meaningful correlates of vegetation distribution across spatial scales. J. Biogeogr. 25, 855–870 (1998).
55
Sheffield J., Wood E. F., Roderick M. L., Little change in global drought over the past 60 years. Nature 491, 435–438 (2012).
56
Ramsey F. L., Characterization of the partial autocorrelation function. Ann. Stat. 2, 1296–1301 (1974).
57
A. G. Bunn, M. Korpela, F. Biondi, F. Campelo, P. Mérian, F. Qeadan, C. Zang, dplR: Dendrochronology Program Library in R (R Package Version 1, 2012); http://cran.stat.sfu.ca/web/packages/dplR/.
58
Meinzer F. C., Johnson D. M., Lachenbruch B., McCulloh K. A., Woodruff D. R., Xylem hydraulic safety margins in woody plants: Coordination of stomatal control of xylem tension with hydraulic capacitance. Funct. Ecol. 23, 922–930 (2009).
59
R Core Development Team, R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, Vienna, Austria, 2012); http://www.R-project.org/.
60
D. Bates, M. Maechler, B. Bolker, S. Walker, Package “lme4” (R package version 1.1-7, 2014) https://cran.r-project.org/web/packages/lme4/index.html.
61
Michna P., Woods M., RNetCDF–A package for reading and writing NetCDF datasets. R. Journ. 5, 29–36 (2013); http://journal.r-project.org/archive/2013-2/michna-woods.pdf.
62
A. Canty, B. Ripley, Package “boot” (R package version 1.7, 2014); http://cran.r-project.org/web/packages/boot/index.html.
63
Taylor K. E., Stouffer R. J., Meehl G. A., An overview of CMIP5 and the experiment design. Bull. Am. Meteorol. Soc. 93, 485–498 (2012).
64
Babst F., Alexander M. R., Szejner P., Bouriaud O., Klesse S., Roden J., Ciais P., Poulter B., Frank D., Moore D. J., Trouet V., A tree-ring perspective on the terrestrial carbon cycle. Oecologia 176, 307–322 (2014).
65
Babst F., Bouriaud O., Papale D., Gielen B., Janssens I. A., Nikinmaa E., Ibrom A., Wu J., Bernhofer C., Köstner B., Grünwald T., Seufert G., Ciais P., Frank D., Above-ground woody carbon sequestration measured from tree rings is coherent with net ecosystem productivity at five eddy-covariance sites. New Phytol. 201, 1289–1303 (2014).
66
Poulter B., Frank D., Ciais P., Myneni R. B., Andela N., Bi J., Broquet G., Canadell J. G., Chevallier F., Liu Y. Y., Running S. W., Sitch S., van der Werf G. R., Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle. Nature 509, 600–603 (2014).
67
Y. Y. Liu, A. I. van Dijk, R. A. de Jeu, J. G. Canadell, M. F. McCabe, J. P. Evans, G. Wang, Recent reversal in loss of global terrestrial biomass. Nat. Clim. Change 5 470–474 (2015).

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Science
Volume 349 | Issue 6247
31 July 2015

Submission history

Received: 24 March 2015
Accepted: 3 July 2015
Published in print: 31 July 2015

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Acknowledgments

Funding for this research was provided by NSF (grant no. DEB EF-1340270). W.R.L.A. was supported in part by a NOAA Climate and Global Change Postdoctoral Fellowship, administered by the University Corporation for Atmospheric Research. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the opinions or policies of the funding agencies. All tree-ring data are available at www.ncdc.noaa.gov/data-access/paleoclimatology-data/datasets/tree-ring. We thank all data contributers at the International Tree-Ring Data Bank. All CMIP5 data are available at http://cmip-pcmdi.llnl.gov/cmip5/data_portal.html. We acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modeling groups (listed in the supplementary materials) for producing and making available their model output. For CMIP,the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led the development of software infrastructure in partnership with the Global Organization for Earth System Science Portals.

Authors

Affiliations

W. R. L. Anderegg*
Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.
Department of Biology, University of Utah, Salt Lake City, UT 84112, USA.
C. Schwalm
Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ 86011, USA.
School of Earth Sciences and Environmental Sustainability, Northern Arizona University, Flagstaff, AZ 86011, USA.
F. Biondi
DendroLab and Graduate Program of Ecology, Evolution, and Conservation Biology, University of Nevada–Reno, Reno, NV 89557, USA.
J. J. Camarero
Instituto Pirenaico de Ecología, Consejo Superior de Investigaciones Científicas, Avda. Montañana 1005, 50192 Zaragoza, Spain.
G. Koch
Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ 86011, USA.
M. Litvak
Department of Biology, University of New Mexico, Albuquerque, NM 87131, USA.
K. Ogle
School of Life Sciences, Arizona State University, Tempe, AZ 85287-4501, USA.
J. D. Shaw
Rocky Mountain Research Station, U.S. Forest Service, Ogden, UT 84401, USA.
E. Shevliakova
National Oceanic and Atmospheric Administration (NOAA) Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA.
A. P. Williams
Lamont-Doherty Earth Observatory of Columbia University, 61 Route 9W, Palisades, NY 10964, USA.
A. Wolf
Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.
E. Ziaco
DendroLab and Graduate Program of Ecology, Evolution, and Conservation Biology, University of Nevada–Reno, Reno, NV 89557, USA.
S. Pacala
Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.

Notes

*Corresponding author. E-mail: [email protected]

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