How many samples are required? Evaluating a model for verification of carbon sequestration in a hybrid poplar buffer strip.
A model is developed to predict annual and total above-ground carbon storage within a hybrid poplar stream buffer. The regression model predicts tree wet weight based upon circumference at breast-height (137 cm) with an r-square value of 0.9922. Carbon storage in above-ground biomass is estimated to be 3.57 to 3.71 metric tons per hectare, with a measured annual increment of 0.92 to 1.37 metric ton per hectare per year. The variability of carbon storage within this biological system, including soil organic matter, is explored, and the number of samples required to achieve a desired level of statistical certainty are predicted. As has been investigated previously for other biological systems (Garten and Wullschleger, 1999), the study shows that a prohibitively large number of samples must be taken in order to achieve high degrees of certainty about mean carbon storage values. The study also shows, however, that mean values with somewhat greater uncertainties can easily be achieved with much smaller sample sizes. Thus carbon sequestration verification might be accomplished cost-effectively if the degree of certainty required is not unrealistically high for highly variable natural systems.
Ney
Richard A
RA
Center for Global and Regional Environmental Research, University of Iowa, Iowa City, Iowa, USA. rney@sebesta.com
Meyers
Troy A
TA
Espina
Africa
A
Schnoor
Jerald L
JL
D002244:Carbon / Q000032:analysis / Q000378:metabolism*; D004784:Environmental Monitoring / Q000379:methods / Q000706:statistics & numerical data*; D017752:Greenhouse Effect; D007484:Iowa; D008962:Models, Theoretical; D032107:Populus / Q000254:growth & development / Q000378:metabolism*; D045483:Rivers; D018401:Sample Size; D012987:Soil / Q000032:analysis; D035501:Uncertainty
D012987:Soil; D002244:Carbon