Adaptive Carbon Allocation by Plants Enhances the Terrestrial Carbon Sink

Overview

Journal Sci Rep

Specialty Science

Date 2017 Jun 15

PMID 28611453

Citations 8

Authors

Jiangzhou Xia

Wenping Yuan

Ying-Ping Wang

Quanguo Zhang

Affiliations

Soon will be listed here.

Abstract

Carbon allocation is one of the most important physiological processes to optimize the plant growth, which exerts a strong influence on ecosystem structure and function, with potentially large implications for the global carbon budget. However, it remains unclear how the carbon allocation pattern has changed at global scale and impacted terrestrial carbon uptake. Based on the Community Atmosphere Biosphere Land Exchange (CABLE) model, this study shows the increasing partitioning ratios to leaf and wood and reducing ratio to root globally from 1979 to 2014. The results imply the plant optimizes carbon allocation and reaches its maximum growth by allocating more newly acquired photosynthate to leaves and wood tissues. Thus, terrestrial vegetation has absorbed 16% more carbon averagely between 1979 and 2014 through adjusting their carbon allocation process. Compared with the fixed carbon allocation simulation, the trend of terrestrial carbon sink from 1979 to 2014 increased by 34% in the adaptive carbon allocation simulation. Our study highlights carbon allocation, associated with climate change, needs to be mapped and incorporated into terrestrial carbon cycle estimates.

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References

Kobe R, Iyer M, Walters M . Optimal partitioning theory revisited: nonstructural carbohydrates dominate root mass responses to nitrogen. Ecology. 2010; 91(1):166-79. DOI: 10.1890/09-0027.1. View

Beer C, Reichstein M, Tomelleri E, Ciais P, Jung M, Carvalhais N . Terrestrial gross carbon dioxide uptake: global distribution and covariation with climate. Science. 2010; 329(5993):834-8. DOI: 10.1126/science.1184984. View

Stephenson N, Mantgem P . Forest turnover rates follow global and regional patterns of productivity. Ecol Lett. 2011; 8(5):524-31. DOI: 10.1111/j.1461-0248.2005.00746.x. View

Cao L, Bala G, Caldeira K, Nemani R, Ban-Weiss G . Importance of carbon dioxide physiological forcing to future climate change. Proc Natl Acad Sci U S A. 2010; 107(21):9513-8. PMC: 2906877. DOI: 10.1073/pnas.0913000107. View

Hikosaka K . Leaf canopy as a dynamic system: ecophysiology and optimality in leaf turnover. Ann Bot. 2004; 95(3):521-33. PMC: 4246797. DOI: 10.1093/aob/mci050. View

Jung M, Reichstein M, Schwalm C, Huntingford C, Sitch S, Ahlstrom A . Compensatory water effects link yearly global land CO sink changes to temperature. Nature. 2017; 541(7638):516-520. DOI: 10.1038/nature20780. View

Doughty C, Malhi Y, Araujo-Murakami A, Metcalfe D, Silva-Espejo J, Arroyo L . Allocation trade-offs dominate the response of tropical forest growth to seasonal and interannual drought. Ecology. 2014; 95(8):2192-201. DOI: 10.1890/13-1507.1. View

Phillips O, Baker T, Arroyo L, Higuchi N, Killeen T, Laurance W . Pattern and process in Amazon tree turnover, 1976-2001. Philos Trans R Soc Lond B Biol Sci. 2004; 359(1443):381-407. PMC: 1693333. DOI: 10.1098/rstb.2003.1438. View

De Kauwe M, Medlyn B, Zaehle S, Walker A, Dietze M, Wang Y . Where does the carbon go? A model-data intercomparison of vegetation carbon allocation and turnover processes at two temperate forest free-air CO2 enrichment sites. New Phytol. 2014; 203(3):883-99. PMC: 4260117. DOI: 10.1111/nph.12847. View

10.

Doughty C, Metcalfe D, Girardin C, Amezquita F, Cabrera D, Huasco W . Drought impact on forest carbon dynamics and fluxes in Amazonia. Nature. 2015; 519(7541):78-82. DOI: 10.1038/nature14213. View

11.

Gaudinski J, Trumbore S, Davidson E, Cook A, Markewitz D, Richter D . The age of fine-root carbon in three forests of the eastern United States measured by radiocarbon. Oecologia. 2017; 129(3):420-429. DOI: 10.1007/s004420100746. View

12.

Ahlstrom A, Raupach M, Schurgers G, Smith B, Arneth A, Jung M . Carbon cycle. The dominant role of semi-arid ecosystems in the trend and variability of the land CO₂ sink. Science. 2015; 348(6237):895-9. DOI: 10.1126/science.aaa1668. View

13.

Yuan W, Cai W, Chen Y, Liu S, Dong W, Zhang H . Severe summer heatwave and drought strongly reduced carbon uptake in Southern China. Sci Rep. 2016; 6:18813. PMC: 4703972. DOI: 10.1038/srep18813. View

14.

Haughton N, Abramowitz G, Pitman A, Or D, Best M, Johnson H . The plumbing of land surface models: is poor performance a result of methodology or data quality?. J Hydrometeorol. 2018; 17(6):1705-1723. PMC: 5884676. DOI: 10.1175/JHM-D-15-0171.1. View

15.

Norby R, Warren J, Iversen C, Medlyn B, McMurtrie R . CO2 enhancement of forest productivity constrained by limited nitrogen availability. Proc Natl Acad Sci U S A. 2010; 107(45):19368-73. PMC: 2984154. DOI: 10.1073/pnas.1006463107. View