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Carbon Allocation in Forest Ecosystems Mike Ryan USDA Forest Service Rocky Mountain Research Station Creighton Litton California State University, Fullerton.

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Presentation on theme: "Carbon Allocation in Forest Ecosystems Mike Ryan USDA Forest Service Rocky Mountain Research Station Creighton Litton California State University, Fullerton."— Presentation transcript:

1 Carbon Allocation in Forest Ecosystems Mike Ryan USDA Forest Service Rocky Mountain Research Station Creighton Litton California State University, Fullerton Jim Raich University of Iowa Pub available online: http://lamar.colostate.edu/~mryan/Publications

2 Why Allocation? Large part of plant response to environment Mechanisms and response poorly understood Especially important for woody plants

3 Progress in Understanding Allocation? “What is not currently well understood is how plants allocate the products of photosynthesis – how much fuels metabolism (above- or below-ground), how much is used for tissue growth/repair (above- or below-ground), lost in ‘futile’ cycles, put aside for storage, or exported to symbiotic organisms” - Trumbore and Pataki, 2004, Workshop Report, Carbon Respired by Terrestrial Ecosystems “Our lack of knowledge on the processes governing the dynamic processes of carbon allocation…makes closure less reliable; Priority areas for future research…are carbon allocation…” - Landsberg et al 1991 Tree Physiology

4 An approach to allocation Be clear about what we mean: ‘allocation’ Measure flux of all major components Use experiments to assess allocation shifts Few studies so far Even fewer for treatment effects

5 Definitions - BIOMASS: 1) Patterns in existing biomass (for example, root:shoot) Litton, Raich, Ryan. 2007. Global Change Biol. 13: 2089-2109

6 Definitions - Flux: 2) Amount of C to a component per unit time. For example, flux to wood and leaves (Mg/ha/yr) Stape, Binkley, Ryan FEM 2004

7 Definitions - Partitioning : 3) Proportion of total used annually for a component: Annual flux/annual GPP 10% GPP Ranges from 0-1 or 0-100% What models use! Turnover Flux GPP

8 Differences in the response of flux versus partitioning: 1 kg C/m2 = 10 MT C/ha = 20 MT/ha Flux shows little difference with fertility Partitioning shows large differences with fertility Ryan et al. Ecol. Monog. 2004

9 Hypotheses Flux and partitioning are related to biomass Flux to all components increases with GPP Partitioning to all components varies with fertility, forest age, competition There are priorities for photosynthesis: (Waring, Weinstein ‘tipping bucket’ hypothesis)

10 Measure the entire C budget and estimate GPP by sum Allometry Allometry + optical + litterfall TBCA by Carbon Budget Method Measure- ments or N or biomass model Foliage NPP Foliage Rs Wood Rs Wood NPP TBCA: Root Production + Resp + Exudates + Mycorrhizae GPP 4 - 13% 9 - 30% 25-62% 4 - 25% 10 - 31%

11 Patterns in Biomass say little about flux and partitioning Litton, Raich, Ryan. 2007. Global Change Biol. 13: 2089-2109

12 Flux for all components increases as GPP increases – ‘A rising tide lifts all boats…’ Litton, Raich, Ryan. 2007. Global Change Biol. 13: 2089-2109

13 Respiration is strongly correlated with production for all components Slope of R:NPP is greater for fine roots and foliage than for wood Litton, Raich, Ryan. 2007. Global Change Biol. 13: 2089- 2109

14 Partitioning to respiration does not vary with forest age, fertility or temperature Litton, Raich, Ryan. 2007. Global Change Biol. 13: 2089-2109

15 Partitioning To wood and TBCA vary with resources and sometimes age To foliage (and respiration) does not Litton, Raich, Ryan. 2007. Global Change Biol. 13: 2089-2109

16 Partitioning varies with stand age Pines increase Partitioning to wood with age. Hawaii Eucalyptus did not. Litton, Raich, Ryan. 2007. Global Change Biol. 13: 2089-2109

17 Partitioning does not change with competition Litton, Raich, Ryan. 2007. Global Change Biol. 13: 2089-2109

18 Fertility increased partitioning to wood and decreased partitioning to TBCA Litton, Raich, Ryan. 2007. Global Change Biol. 13: 2089- 2109

19 Because partitioning to foliage is constant, foliage production may predict GPP Local Data Set: Hawaii Eucs, Ryan et al. 2004 Global data set

20 Site specific changes in partitioning are larger than inferred from global patterns Litton, Raich, Ryan. 2007. Global Change Biol. 13: 2089-2109

21 No support for priority or ‘tipping bucket’ hypothesis Resources increase GPP and increased GPP increases flux to all components

22 Conclusions Three facets: Biomass, flux, partitioning Partitioning ≠ flux ≠ biomass Partitioning and flux are related to GPP No support for ‘priority’ system of allocation Partitioning to respiration, foliage conservative

23 Conclusions Poorly understood: –Belowground biomass and soil C storage –Very few studies measure all components or respiration


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