The process-based model, when constrained with the set of
parameters presented in Table 2, produced max PAI values in
close agreement (r2 = 0.99) with those generated by the sitespecific
yield tables (Eq. (3), Table 3). 3-PG predictions of max L, as expected from the structure of the model, were closely
correlated (r2 = 0.98) with max PAI (Eq. (4), Table 3).
The relationship established between median EVI and SI
obtained at the 10 calibration sites (Eq. (7))was used to predict SI
values derived from McArdle’s (1961) yield tables at 5263 FIA
survey plots locations in Oregon (Waring et al., 2002). With
agreement comparable to that attained in a previous analysis
using 3-PG (Swenson et al., 2005), we felt justified to map
estimates ofDouglas-fir SI across 630,000 km2 in the Pacific and
Inland Northwest at a spatial resolution of 1 km (Fig. 2).
The process-based model, when constrained with the set ofparameters presented in Table 2, produced max PAI values inclose agreement (r2 = 0.99) with those generated by the sitespecificyield tables (Eq. (3), Table 3). 3-PG predictions of max L, as expected from the structure of the model, were closelycorrelated (r2 = 0.98) with max PAI (Eq. (4), Table 3).The relationship established between median EVI and SIobtained at the 10 calibration sites (Eq. (7))was used to predict SIvalues derived from McArdle’s (1961) yield tables at 5263 FIAsurvey plots locations in Oregon (Waring et al., 2002). Withagreement comparable to that attained in a previous analysisusing 3-PG (Swenson et al., 2005), we felt justified to mapestimates ofDouglas-fir SI across 630,000 km2 in the Pacific andInland Northwest at a spatial resolution of 1 km (Fig. 2).
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