Effects of foliage clumping on the estimation of global terrestrial gross primary productivity
Identifieur interne : 001528 ( Istex/Corpus ); précédent : 001527; suivant : 001529Effects of foliage clumping on the estimation of global terrestrial gross primary productivity
Auteurs : Jing M. Chen ; Gang Mo ; Jan Pisek ; Jane Liu ; Feng Deng ; Misa Ishizawa ; Douglas ChanSource :
- Global Biogeochemical Cycles [ 0886-6236 ] ; 2012-03.
Abstract
Sunlit and shaded leaf separation proposed by Norman (1982) is an effective way to upscale from leaf to canopy in modeling vegetation photosynthesis. The Boreal Ecosystem Productivity Simulator (BEPS) makes use of this methodology, and has been shown to be reliable in modeling the gross primary productivity (GPP) derived from CO2flux and tree ring measurements. In this study, we use BEPS to investigate the effect of canopy architecture on the global distribution of GPP. For this purpose, we use not only leaf area index (LAI) but also the first ever global map of the foliage clumping index derived from the multiangle satellite sensor POLDER at 6 km resolution. The clumping index, which characterizes the degree of the deviation of 3‐dimensional leaf spatial distributions from the random case, is used to separate sunlit and shaded LAI values for a given LAI. Our model results show that global GPP in 2003 was 132 ± 22 Pg C. Relative to this baseline case, our results also show: (1) global GPP is overestimated by 12% when accurate LAI is available but clumping is ignored, and (2) global GPP is underestimated by 9% when the effective LAI is available and clumping is ignored. The clumping effects in both cases are statistically significant (p < 0.001). The effective LAI is often derived from remote sensing by inverting the measured canopy gap fraction to LAI without considering the clumping. Global GPP would therefore be generally underestimated when remotely sensed LAI (actually effective LAI by our definition) is used. This is due to the underestimation of the shaded LAI and therefore the contribution of shaded leaves to GPP. We found that shaded leaves contribute 50%, 38%, 37%, 39%, 26%, 29% and 21% to the total GPP for broadleaf evergreen forest, broadleaf deciduous forest, evergreen conifer forest, deciduous conifer forest, shrub, C4 vegetation, and other vegetation, respectively. The global average of this ratio is 35%.
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DOI: 10.1029/2010GB003996
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<front><div type="abstract">Sunlit and shaded leaf separation proposed by Norman (1982) is an effective way to upscale from leaf to canopy in modeling vegetation photosynthesis. The Boreal Ecosystem Productivity Simulator (BEPS) makes use of this methodology, and has been shown to be reliable in modeling the gross primary productivity (GPP) derived from CO2flux and tree ring measurements. In this study, we use BEPS to investigate the effect of canopy architecture on the global distribution of GPP. For this purpose, we use not only leaf area index (LAI) but also the first ever global map of the foliage clumping index derived from the multiangle satellite sensor POLDER at 6 km resolution. The clumping index, which characterizes the degree of the deviation of 3‐dimensional leaf spatial distributions from the random case, is used to separate sunlit and shaded LAI values for a given LAI. Our model results show that global GPP in 2003 was 132 ± 22 Pg C. Relative to this baseline case, our results also show: (1) global GPP is overestimated by 12% when accurate LAI is available but clumping is ignored, and (2) global GPP is underestimated by 9% when the effective LAI is available and clumping is ignored. The clumping effects in both cases are statistically significant (p < 0.001). The effective LAI is often derived from remote sensing by inverting the measured canopy gap fraction to LAI without considering the clumping. Global GPP would therefore be generally underestimated when remotely sensed LAI (actually effective LAI by our definition) is used. This is due to the underestimation of the shaded LAI and therefore the contribution of shaded leaves to GPP. We found that shaded leaves contribute 50%, 38%, 37%, 39%, 26%, 29% and 21% to the total GPP for broadleaf evergreen forest, broadleaf deciduous forest, evergreen conifer forest, deciduous conifer forest, shrub, C4 vegetation, and other vegetation, respectively. The global average of this ratio is 35%.</div>
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<title>Effects of foliage clumping on the estimation of global terrestrial gross primary productivity</title>
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<abstract>Sunlit and shaded leaf separation proposed by Norman (1982) is an effective way to upscale from leaf to canopy in modeling vegetation photosynthesis. The Boreal Ecosystem Productivity Simulator (BEPS) makes use of this methodology, and has been shown to be reliable in modeling the gross primary productivity (GPP) derived from CO2flux and tree ring measurements. In this study, we use BEPS to investigate the effect of canopy architecture on the global distribution of GPP. For this purpose, we use not only leaf area index (LAI) but also the first ever global map of the foliage clumping index derived from the multiangle satellite sensor POLDER at 6 km resolution. The clumping index, which characterizes the degree of the deviation of 3‐dimensional leaf spatial distributions from the random case, is used to separate sunlit and shaded LAI values for a given LAI. Our model results show that global GPP in 2003 was 132 ± 22 Pg C. Relative to this baseline case, our results also show: (1) global GPP is overestimated by 12% when accurate LAI is available but clumping is ignored, and (2) global GPP is underestimated by 9% when the effective LAI is available and clumping is ignored. The clumping effects in both cases are statistically significant (p < 0.001). The effective LAI is often derived from remote sensing by inverting the measured canopy gap fraction to LAI without considering the clumping. Global GPP would therefore be generally underestimated when remotely sensed LAI (actually effective LAI by our definition) is used. This is due to the underestimation of the shaded LAI and therefore the contribution of shaded leaves to GPP. We found that shaded leaves contribute 50%, 38%, 37%, 39%, 26%, 29% and 21% to the total GPP for broadleaf evergreen forest, broadleaf deciduous forest, evergreen conifer forest, deciduous conifer forest, shrub, C4 vegetation, and other vegetation, respectively. The global average of this ratio is 35%.</abstract>
<abstract type="short">Plant canopy structure is quantified by both LAI and clumping index A global clumping map is for the first time used for global GPP estimation The impact of clumping is highly significant for global GPP modeling</abstract>
<note type="additional physical form">Tab‐delimited Table 1.Tab‐delimited Table 2.Tab‐delimited Table 3.</note>
<subject><genre>keywords</genre>
<topic>LAI</topic>
<topic>canopy radiation</topic>
<topic>clumping index</topic>
<topic>global GPP</topic>
<topic>photosynthesis model</topic>
</subject>
<relatedItem type="host"><titleInfo><title>Global Biogeochemical Cycles</title>
</titleInfo>
<titleInfo type="abbreviated"><title>Global Biogeochem. Cycles</title>
</titleInfo>
<genre type="journal">journal</genre>
<subject><genre>index-terms</genre>
<topic authorityURI="http://psi.agu.org/taxonomy5/0400">BIOGEOSCIENCES</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/0412">Biogeochemical kinetics and reaction modeling</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/0414">Biogeochemical cycles, processes, and modeling</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/0428">Carbon cycling</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/0700">CRYOSPHERE</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/0793">Biogeochemistry</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/1600">GLOBAL CHANGE</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/1615">Biogeochemical cycles, processes, and modeling</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/1640">Remote sensing</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/1800">HYDROLOGY</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/1855">Remote sensing</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/4300">NATURAL HAZARDS</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/4337">Remote sensing and disasters</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/4800">OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/4806">Carbon cycling</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/4805">Biogeochemical cycles, processes, and modeling</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/4900">PALEOCEANOGRAPHY</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/4912">Biogeochemical cycles, processes, and modeling</topic>
</subject>
<identifier type="ISSN">0886-6236</identifier>
<identifier type="eISSN">1944-9224</identifier>
<identifier type="DOI">10.1002/(ISSN)1944-9224</identifier>
<identifier type="CODEN">GBCYEP</identifier>
<identifier type="PublisherID">GBC</identifier>
<part><date>2012</date>
<detail type="volume"><caption>vol.</caption>
<number>26</number>
</detail>
<detail type="issue"><caption>no.</caption>
<number>1</number>
</detail>
<extent unit="pages"><start>n/a</start>
<end>n/a</end>
<total>18</total>
</extent>
</part>
</relatedItem>
<identifier type="istex">1BE91345AC1E39E7C900AB319CB7B6B9B953E9E6</identifier>
<identifier type="DOI">10.1029/2010GB003996</identifier>
<identifier type="ArticleID">2010GB003996</identifier>
<accessCondition type="use and reproduction" contentType="copyright">Copyright 2012 by the American Geophysical Union</accessCondition>
<recordInfo><recordContentSource>WILEY</recordContentSource>
</recordInfo>
</mods>
</metadata>
<serie></serie>
</istex>
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