Show simple item record

dc.contributor.authorZhang, Xinxian
dc.date.accessioned2016-08-16T02:37:53Z
dc.date.available2016-08-16T02:37:53Z
dc.date.issued2001-05
dc.identifier.urihttp://hdl.handle.net/11122/6791
dc.descriptionThesis (M.S.) University of Alaska Fairbanks, 2000en_US
dc.description.abstractCanopy respiration represents an important part of the carbon budget of black spruce forests. In this study I scaled hourly models of foliar maintenance respiration (Rm) to estimate canopy Rm for individual stands, and investigated issues in scaling the models to estimate canopy Rm using mean monthly temperature data. I used data from several stands to develop hourly stand-specific and stand-independent models of canopy Rm. Analysis of stimulated canopy Rm indicated that stand-level controls over foliar N concentration should be considered in models that estimate canopy Rm of black spruce stands across the landscape. Uncertainty analyses indicated that the parameter that describes maintenance respiration rate at 0C̊ per g N has the greatest influence on annual estimates of canopy maintenance respiration. Finally, comparisons of monthly Rm between the hourly and monthly versions of the models indicated that mean monthly temperature can be used to drive models of canopy Rm with little loss of precision.en_US
dc.language.isoen_USen_US
dc.titleModeling stand-level canopy maintenance respiration of black spruce ecosystems in Alaska: implications for spatial and temporal scalingen_US
dc.typeThesisen_US
refterms.dateFOA2020-03-05T10:43:55Z


Files in this item

Thumbnail
Name:
Zhang_X_2001.pdf
Size:
37.33Mb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record