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Improving GPP, NPP, and NEE predictions from space

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I R S S. Improving GPP, NPP, and NEE predictions from space. Richard Waring 1 Nicholas Coops 2 Joe Landsberg 3 1 Oregon State University 2 University of British Columbia 3 Mt Wilson, NSW 2786, Australia. Eucalyptus plantation GPP =6,000 g C m -2 yr -1. Brazilian rainforest - PowerPoint PPT Presentation
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Improving GPP, NPP, and NEE predictions from space I R S S Richard Waring 1 Nicholas Coops 2 Joe Landsberg 3 1 Oregon State University 2 University of British Columbia 3 Mt Wilson, NSW 2786, Australia
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Page 1: Improving GPP, NPP, and NEE predictions from space

Improving GPP, NPP, and NEE predictions from space

Improving GPP, NPP, and NEE predictions from space

I R S S

Richard Waring1

Nicholas Coops2

Joe Landsberg3

1 Oregon State University 2 University of British Columbia3 Mt Wilson, NSW 2786, Australia

Richard Waring1

Nicholas Coops2

Joe Landsberg3

1 Oregon State University 2 University of British Columbia3 Mt Wilson, NSW 2786, Australia

Page 2: Improving GPP, NPP, and NEE predictions from space

Photo: Courtesy of Auro Almeida

Eucalyptus plantationGPP =6,000 g C m-2 yr-1

Brazilian rainforestGPP =3,000 g C m-2 yr-1

Page 3: Improving GPP, NPP, and NEE predictions from space

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Eucalyptus Native forest

Brazilian plantation LAI decreases with age as trees approach 40 m in heightat 7 years when harvested. Drought reduces LAI more when stand is young than older

Drought

Auro Almeida, CSIRO Tasmania, unpublished

Drought

Page 4: Improving GPP, NPP, and NEE predictions from space

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Eucalyptus Native forest

In the Atlantic Coastal Region of Brazil,native rainforests and eucalyptus plantations usesimilar amounts of water although LAI differs by > 2 fold.Reason: eucalypts are fertilized & have twice the photosynthetic capacity and twice the max. canopy conductance of the rainforest.

Auro Almeida, CSIRO Tasmania, unpublished

Page 5: Improving GPP, NPP, and NEE predictions from space

Objective: to provide ecological insights to improve predictions of GPP, NPP, and NEE from space

I. GPP: set limits and identify constraints

II. NPP: allocation above and below ground

III. NEE: correlation with GPP

Page 6: Improving GPP, NPP, and NEE predictions from space

Ecosystem Model Structure

Waring, Coops, & Landsberg 2009 For. Ecol & Mgmt (in press)

Page 7: Improving GPP, NPP, and NEE predictions from space

Leaf chlorophyll conc. linearly related to maximum photosynthetic

capacity (link to soil fertility)

Waring et al. 1995. Plant Cell & Env. 18: 1201-1218. Zhang et al. 2009. Remote Sen. Env. 113: 880-888.

Page 8: Improving GPP, NPP, and NEE predictions from space

Leaf conductance (g) and photosynthetic capacity (A) decrease with (relative) tree height & hydraulic conductivity

(KL)

Ambrose et al. 2009. Plant, Cell & Env. 32: 743-757.Hubbard et al. 2001. Plant, Cell & Env. 24: 113-121.

Page 9: Improving GPP, NPP, and NEE predictions from space

Stomatal response to vpd varies by an order of

magnitude among species in boreal forests

Dang et al. 1997. Tree Physiology 17: 521-535.

Page 10: Improving GPP, NPP, and NEE predictions from space

VPD response is a function of maximum canopy conductance

Stomatal sensitivity to vpd is a negative log function (slope =0.6) to maximum conductance at 1 kPa (r2 = 0.75).

Oren et al. 1999. Plant, Cell & Env.22:1515-1535.

Page 11: Improving GPP, NPP, and NEE predictions from space

As the soil water deficit increases beyond a threshold, water loss through transpiration is progressively reduced below its potential as stomata close

Source: Landsberg & Gower 1997. Fig. 4.5. “Application of Physiological Ecology to Forest Management.” Academic Press, San Diego, CA

Eucalyptus maculata

Page 12: Improving GPP, NPP, and NEE predictions from space

Root depth determines access to water

28 m

Photo: courtesy of Keith Smettem,University of Western Australia

Eucalyptus

marginata

depth that roots penetrate

Photo: courtesy of E.D. Schulze

Page 13: Improving GPP, NPP, and NEE predictions from space

To evaluate soil water limitations, need to assess changes in canopy properties

(LAI, fPAR, PRI, & wetness)

Canadell et al. 1996. Oecologia 108:583-595

Page 14: Improving GPP, NPP, and NEE predictions from space

Photosynthetic Reflectance Index(Gamon et al. 1992. Rem. Sen. Env. 41:35-44)

Suarez et al. 2009. Rem.Sen. Env. 113:730-744.Trotter et al. 2002. Int. J. Rem. Sen.23: 1207-1212.

8 species in New Zealand Olive trees

Page 15: Improving GPP, NPP, and NEE predictions from space

Hall et al. 2008. Remote Sensing of Env. 112: 3201-3211

Douglas-fir (sunlite) Campbell River, B.C.

Page 16: Improving GPP, NPP, and NEE predictions from space

Partitioning of forest NPP below ground ranges from 20% to 60% (Waring et al. (1998). When GPP 2500 g C m-2 yr-1

(respiration + NPPb) ~ minimum

Litton et al.

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Litton et al. 2007. Global Change Biology 13: 2080-2109Chen et al. 2003. Oecologia 137: 405-416Stape et al. 2008. For. Ecol. & Mgmt. 255: 920-930.Waring et al. 1998. Tree Physiol. 18:129-134.

tropical savanna

young ponderosa pine

aspen

black sprucejack pineold ponderosa pine

N =38

plantations

Page 17: Improving GPP, NPP, and NEE predictions from space

NEE varies seasonally by type of vegetation, as does GPP

After Baldocchi 2009 Aust. J. Bot. (in press)

Page 18: Improving GPP, NPP, and NEE predictions from space

After Baldocchi 2009 Aust. J. Bot. (in press)

Predicting Ecosystem Respiration or NEE (GPP-Reco) as a function of eddy-flux measured GPP

r2 = 0.9 =0.77

=0.94

Page 19: Improving GPP, NPP, and NEE predictions from space

To improve predictions of GPP, NPP, and NEE from space

• Chlorophyll light absorbance is better than nitrogen content to estimate max. conductance and photosynthetic capacity.

• Max. conductance and photosynthetic capacity are reduced as trees approach site & species-specific maximum height.

• PRI is a good check on modeled constraints on GPP

• GPP is more important to estimate accurately than NPP, although NPPA would be helpful to validate model predictions of growth allocation.

• Allocation of NPP (& respiration) increases below-ground if water and nutrients are not available, generally not the case if GPP 2500 g C m-2 yr-1.

• Ecosystem respiration is ~ 75% of GPP in undisturbed systems, ~ 95% in disturbed systems. Be able to distinguish disturbed systems & recovery.

Page 20: Improving GPP, NPP, and NEE predictions from space

Email: [email protected] Nicholas Coops [[email protected]] Joe Landsberg [[email protected]]

Waring, Coops, & Landsberg. 2009. Improving predictions of forest growth using the 3-PGS model with observations made by remote sensing. For. Ecol. & Mgmt. (in press). (RHW Pub. No. 108). www.fsl.orst.edu/~waring


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