Corrigendum: Convergence of terrestrial plant production across global climate gradients (Nature (2014) 512 (39-43) DOI: 10.1038/nature13470);Convergence of terrestrial plant production across global climate gradients

Nature

Volumn 512, Issue 1, 2014, Pages 39-43

  Michaletz, Sean T ^a   Cheng, Dongliang ^b   Kerkhoff, Andrew J ^c   Enquist, Brian J ^a,d,e,f  

^a The University of Arizona   (United States)

^b FUJIAN NORMAL UNIVERSITY   (China)

^c KENYON COLLEGE   (United States)

^d SANTA FE INSTITUTE   (United States)

^e Thomas W Keating Bioresearch Building   (United States)

^f Aspen Center for Environmental Studies   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SET; ECOSYSTEM FUNCTION; GLOBAL CLIMATE; GROWING SEASON; METABOLISM; NET PRIMARY PRODUCTION; PLANT; PRECIPITATION (CLIMATOLOGY); PREDICTION; TEMPERATURE EFFECT;

ARTICLE; BIOMASS; CLIMATE CHANGE; MATHEMATICAL MODEL; NONHUMAN; PHOTOSYNTHESIS; PLANT AGE; PLANT GROWTH; PRECIPITATION; PRIORITY JOURNAL; SEASONAL VARIATION; TEMPERATURE; TERRESTRIAL SPECIES; WOODY PLANT;

ADAPTATION, PHYSIOLOGICAL; BIOMASS; CLIMATE; ECOSYSTEM; INTERNATIONALITY; PLANT DEVELOPMENT; PLANTS; RAIN; SEASONS; TEMPERATURE; WOOD;

EID: 84905589326     PISSN: 00280836     EISSN: 14764687     Source Type: Journal    
DOI: 10.1038/nature18269     Document Type: Erratum

References (49)

1. Schimel, D. S. et al. Recent patterns and mechanisms of carbon exchange by terrestrial ecosystems. Nature 414, 169-172 (2001).
2. Lieth, H. in Primary Productivity of the Biosphere (eds Lieth, H. & Whittaker, R. H.) (Springer, 1975).
3. Schuur, E. A. G. Productivity and global climate revisited: The sensitivity of tropical forest growth to precipitation. Ecology 84, 1165-1170 (2003).
4. Huxman, T. E. et al. Convergence across biomes to a common rain-use efficiency. Nature 429, 651-654 (2004).
5. Ponce Campos, G. E. et al. Ecosystem resilience despite large-scale altered hydroclimatic conditions. Nature 494, 349-352 (2013).
6. Berry, J. & Bjorkman, O. Photosynthetic response and adaptation to temperature in higher plants. Annu. Rev. Plant Physiol. 31, 491-543 (1980).
7. Enquist, B. J., Kerkhoff, A. J., Huxman, T. E. & Economo, E. P. Adaptive differences in plant physiology and ecosystem paradoxes: insights from metabolic scaling theory. Glob. Change Biol. 13, 591-609 (2007).
8. Kerkhoff, A. J., Enquist, B. J., Elser, J. J. & Fagan, W. F. Plant allometry, stoichiometry and the temperature-dependence ofprimary productivity. Glob. Ecol. Biogeogr. 14, 585-598 (2005).
9. Bonan, G. B. Physiological derivation of the observed relationship between net primary production and mean annual air temperature. Tellus B Chem. Phys. Meterol. 45, 397-408 (1993).
10. Chapin, F. S. Effects of plant traits on ecosystem and regional processes: A conceptual framework forpredicting theconsequencesofglobalchange. Ann. Bot. (Lond.) 91, 455-463 (2003).
11. Enquist, B. J., West, G. B. & Brown, J. H. Extensions and evaluations of a general quantitative theory of forest structure and dynamics. Proc. Natl Acad. Sci. USA 106, 7046-7051 (2009).
12. West, G. B., Enquist, B. J. & Brown, J. H. A general quantitative theory of forest structure and dynamics. Proc. Natl Acad. Sci. USA 106, 7040-7045 (2009).
13. Enquist, B. J. et al. Ageneral integrative model for scaling plant growth, carbon flux, and functional trait spectra. Nature 449, 218-222 (2007).
14. Brown, J. H., Gillooly, J. F., Allen, A. P., Savage, V. M. & West, G. B. Towarda metabolic theory of ecology. Ecology 85, 1771-1789 (2004).
15. Allen, A. P., Gillooly, J. F. & Brown, J. H. Linking the global carbon cycle to individual metabolism. Funct. Ecol. 19, 202-213 (2005).
16. Enquist, B. J. & Bentley, L. P. in Metabolic Ecology: A Scaling Approach (eds Sibly, R. M., Brown, S. & Kodric-Brown, A.) 164-187 (Wiley, 2012)
17. Gates, D. M. Biophysical Ecology (Springer, 1980).
18. Helliker, B. R. & Richter, S. L. Subtropical to boreal convergence of tree-leaf temperatures. Nature 454, 511-514 (2008).
19. Atkin, O. K. & Tjoelker, M. G. Thermal acclimation and the dynamic response of plant respiration to temperature. Trends Plant Sci. 8, 343-351 (2003).
20. New, M., Lister, D., Hulme, M. & Makin, I. A high-resolution data set of surface climate over global land areas. Clim. Res. 21, 1-25 (2002).
21. Monteith, J. L. Climate and the efficiency ofcrop productioninBritain. Phil. Trans. R. Soc. Lond. B 281, 277-294 (1977).
22. Renee Brooks, J., Barnard, H. R., Coulombe, R. & McDonnell, J. J. Ecohydrologic separationofwater between trees and streamsinaMediterranean climate. Nature Geosci. 3, 100-104 (2010).
23. Gower, S. T., McMurtrie, R. E. & Murty, D. Aboveground net primary production decline with stand age: potential causes. Trends Ecol. Evol. 11, 378-382 (1996).
24. Ryan, M. G. & Yoder, B. J. Hydraulic limits totree height and tree growth. Bioscience 47, 235-242 (1997).
25. DeLucia, E. H., Drake, J. E., Thomas, R. B. & Gonzalez-Meler, M. Forest carbon use efficiency: is respiration a constant fraction of gross primary production? Glob. Change Biol. 13, 1157-1167 (2007).
26. Kerkhoff, A. J. & Enquist, B. J. Ecosystem allometry: the scaling of nutrient stocks andprimaryproductivity acrossplantcommunities. Ecol. Lett. 9, 419-427(2006).
27. Muller-Landau, H. C. et al. Testing metabolic ecology theory for allometric scaling of tree size, growth, and mortality in tropical forests. Ecol. Lett. 9, 575-588 (2006).
28. Niklas, K. J., Midgley, J. J. & Rand, R. H. Tree size frequency distributions, plant density, age and community disturbance. Ecol. Lett. 6, 405-411 (2003).
29. Yvon-Durocher, G. et al. Reconciling the temperature dependence of respiration across timescales and ecosystem types. Nature 487, 472-476 (2012).
30. Wright, I. J. & Westoby, M. Differences in seedling growth behaviour among species: trait correlations across species, and trait shifts along nutrient compared to rainfall gradients. J. Ecol. 87, 85-97 (1999).
31. Kempes, C. P., West, G. B., Crowell, K. & Girvan, M. Predicting maximum tree heights and other traits from allometric scaling and resource limitations. PLoS ONE 6, e20551 (2011).
32. Stegen, J. C. et al. Variation in above-ground forest biomass across broad climatic gradients. Glob. Ecol. Biogeogr. 20, 744-754 (2011).
33. Larjavaara, M. & Muller-Landau, H. C. Rethinking the value of high wood density. Funct. Ecol. 24, 701-705 (2010).
34. Stephenson, N. L. et al. Rate of tree carbon accumulation increases continuously with tree size. Nature 507, 90-93 (2014).
35. Cannell, M. G. R. World Forest Biomass and Primary Production Data (Academic, 1982).
36. Luo, T. X. Patterns of Biological Production and its Mathematical Models for Main Forest Types of China. PhD thesis, Chinese Academy of Sciences (1996).
37. Clark, D. S. et al. Net primary productivity in tropical forests: An evaluation and synthesis of existing field data. Ecol. Appl. 11, 371-384 (2001).
38. 2 balance of boreal, temperate, and tropical forests derived from a global database. Glob. Change Biol. 13, 2509-2537 (2007)
39. Whittaker, R. H. Communities and Ecosystems (Macmillan, 1970).
40. Cairns, M. A., Brown, S., Helmer, E. H. & Baumgardner, G. A. Root biomassallocation in the world's upland forests. Oecologia 111, 1-11 (1997).
41. Vieira, S. et al. Slow growth rates of Amazonian trees: Consequences for carbon cycling. Proc. Natl Acad. Sci. USA 102, 18502-18507 (2005).
42. Häsler, R., Streule, A. & Turner, H. Shoot and root growth of young Larix decidua in contrasting microenvironments near the Alpine timberline. Phyton 39, 47-52 (1999).
43. Fredlund, D. G., Rahardjo, H. & Fredlund, M. D. Unsaturated Soil Mechanics in Engineering Practice (Wiley, 2012).
44. FAO/IIASA/ISRIC/ISSCAS/JRC. Harmonized World SoilDatabase (version 1. 2) (FAO and IIASA, 2012).
45. Huston, M. A. Precipitation, soils, NPP, and biodiversity: resurrection of Albrecht's curve. Ecol. Monogr. 82, 277-296 (2012).
46. R Development Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2011).
47. Warton, D. I., Duursma, R. A., Falster, D. S. & Taskinen, S. smatr 3-an R package for estimation and inference about allometric lines. Methods Ecol. Evol. 3, 257-259 (2012).
48. Brett, M. T. When is a correlation between non-independent variables "spurious"? Oikos 105, 647-656 (2004)
49. Ryan, T. P. Modern Regression Methods (Wiley, 1997).