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ZMotivation: Understand how age, fertility, species change NEP; compare with Eddy Flux NEE [[g$H l 0޽h ? =at $@(     `/>?p^T kNEP from Biometric Measurements $ @`Z    `>? +  &NEP = GPP  RH - RAr $$$$$$ @`   TT>?`  ' = Annual change in ecosystem C storage,('$$ @`  T>?P `  = D [CDW (dead wood) + CW (live biomass)+ CS (soil) + CR (Roots) + CL (fine litter)]Vn$$&$g$g$o$g$g$o$g$g$o$ g$g$o$ g$g$o$g$$ @`H  0޽h ? =a  ``,(  `r ` S `   r ` S `   | ` TA|?|2 ` T|? @H ` 0޽h ? =a umt(  t t Zgֳgֳ ?` [Results, t Tgֳgֳ ?`  NFor Eucalypt plantation: CV for NEP ~40%. 95% CI = 20  30 % of mean for n=6. Larger plots for biomass sampling would help.   | t TA|?  t Z|? H t 0޽h ? =at $Pd (  d d Zgֳgֳ ?` [Results, d T!gֳgֳ ?`P ICV for lodgepole pine chronosequence suggests similar variance for NEP: J J  d Z+|?" @ h  Q5-25% @`  d Z2|?" @ h  RSoil C @`  d Z3|? @ "  Q8-12% @`  d ZB|? @ "  ZForest Floor C @`  d ZJ|?@   R17-45% @`  d ZR|?@  W Dead Wood C   @` d ZZ|?P@  R12-20% @` d Zb|?P@  U Biomass C   @`B d Zo ?PP|B d T1 ?|B d T1 ?  |B d T1 ?" " B d Zo ?h h B d Zo ?Ph |B d T1 ?P@ @ h B d Zo ?Ph H d 0޽h ? =aw ' l (  l l Zgֳgֳ ?` oWhat can improve precision?, l Tgֳgֳ ?`P  ~.Replicate plots Time Increased subsamples/plot/ / d l S <AE:\hisoila.jpg0 H l 0޽h ? =ar<@3U"RM', 3;    Eu 5/  E     _R$L`cb8Y2$cx9mҔ2$z[.P4$R$FE-Qڛb>" 0e0e|? ff@]@Ug4+d+dtb0lbppp@  <42d2dbb;<4!d!dbb:2___PPT9/ 0? %O =RMythsVariability is too large to do this accurately Compounding error will give very uncertain estimates of NEP However, most variability is local (scale of m2) and not important for our questions (scale of ha or larger)6 > Two Cases Replicate Plots: Inference at a landscape or experiment scale Single site: Inference a !_b bMike Ryan՜.+,0t   On-screen Show3  Times New RomanArialComic Sans MSSymbol My DocumentsNo Slide TitleNo Slide TitleMyths Two CasesRe?" dd@  @@``    "L   L ' , '     d   P  >   Eu 5/  E     _R$L`cb8Y2$cx9mҔ2$z[.P4$R$FE-Qڛb>" 0e0e|? ff@]@Ug4+d+db0bp  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuwxyz{|}~Root EntrydO) PcPictures\Current User)SummaryInformation(|RPowerPoint Document(vDocumentSummaryInformation8pp@  <42d2dbb;<4!d!dbb:2___PPT9/ 0? %O =RMythsVariability is too large to do this accurately Compounding error will give very uncertain estimates of NEP However, most variability is local (scale of m2) and not important for our questions (scale of ha or larger)6 > Two Cases Replicate Plots: Inference at a landscape or experiment scale Single site: Inference at a site scale (for example Ameriflux tower footprint)s Replicate Plots@Sub-sample variance not included in replicate plot is negligible and does not have to be propagated (n/N ~ 0): Poor sub-sampling will give larger variance among replicate plots, and good sub-sampling will give smaller variance among replicate plots, but you do not need to propagate any additional sub-sample variance.ZAeReplicate Plots,Sub-sample variance not included in replicate plot is negligible and does not have to be propagated (n/N ~ 0): Cumulative Error: NEP calculated using plot-level estimates of all components contains cumulative (S variance + covariance) and sub-sample variance. Allometric equations? Working on it.-eN W 1)`(    T>?`@ 8One Method of Estimating NEP from Biometric Measurements99$ @`Z    `>? +  &NEP = GPP  RH - RAr $$$$$$ @`   Tt>?`  ' = Annual change in ecosystem C storage,('$$ @`  Tԭ>?P `  = D [CDW (dead wood) + CW (live biomass)+ CS (soil) + CR (Roots) + CL (fine litter)]Vn$$&$g$g$o$g$g$o$g$g$o$ g$g$o$ g$g$o$g$$ @`H  0޽h ? =a  |0(  |x | c $`  - x | c $`  - H | 0޽h ? =a  0(  x  c $-`  - x  c $t-`  - H  0޽h ? =a  p`,(  `r ` S 4`   r ` S `   | ` TA|?PP |2 ` T|?   H ` 0޽h ? =a  8(  x  c $t-`  - x  c $-`  - |  TA|?PP |2  T|?   H  0޽h ? =ar(#Nd   Eu 5/  E     _R$L`cb8Y2$cx9mҔ2$z[.P4$R$FE-Qڛb>" 0e0e|? ff@]@Ug4+d+dtb0lbppp@  <42d2dbb;s<4!d!dbb:2___PPT9/ 0? %O =RMythsVariability is too large to do this accurately Compounding error will give very uncertain estimates of NEP However, most variability is local (scale of m2) and not important for our questions (scale of ha or larger)6 > Two Cases Replicate Plots: Inference at a landscape or experiment scale Single site: Inference at a site scale (for example Ameriflux tower footprint)s Replicate Plots@Sub-sample variance not included in replicate plot is negligible and does not have to be propagated (n/N ~ 0): Poor sub-sampling will give larger variance among replicate plots, and good sub-sampling will give smaller variance among replicate plots, but you do not need to propagate any additional sub-sample variance.ZAeReplicate PlotsCumulative Error: NEP calculated using plot-level estimates of all components contains cumulative (S variance + covariance) and sub-sample variance. Allometric equations? Working on it.\N W Single Site CI and SE will decrease with sqrt(sample size). Plots (with sub-sampling) can be used to minimize small-scale variability. Cumulative Error: NEP calculated using plot-level estimates of all components contains cumulative (S variance + covariance) and sub-sample variance.\ 1O  t(  t t Z4gֳgֳ ?` [Results,\ t Tgֳgֳ ?`  xFor Eucalypt plantation in Hawaii: CV for NEP ~40%. 95% CI = 20  30% of mean for n=6. Larger plots for biomass sampling would probably lower CV. 50% higher NEP in high