Goals and Hypotheses

on this conceptual framework and the ability of CCP analyses to improve
our understanding of ecosystem processes over annual climate
characteristics at KNZ we propose to expand this CCP analysis to all
terrestrial LTER sites.  In addition to the site-level understanding of
plant production with CCPs, a broader understanding of ecosystem
processes and their sensitivity to climate can be gained from this
approach.  Based on our current understanding of CCPs and the conceptual
model of plant productivity (Figure 1) we hypothesize that:

H1) Compared to annual and seasonal climate drivers, CCP
analyses will provide better correlations between climate and productivity at
all terrestrial LTER sites.

H2) Temperature CCPs will be a significant predictor of productivity
at all sites.  This would provide a novel
analysis that includes both temperature and precipitation in understanding
productivity patterns across a large spatial scale.

H3) The DOY of CCPT will correlate positively with
mean annual temperature, suggesting the importance of spring temperature in
cold climates and growing season heat stress in warmer climates.

H4) CCPs will correlate with the time of year with the highest
variability in climate drivers.