期刊
JOURNAL OF FORESTRY
卷 110, 期 8, 页码 448-456出版社
OXFORD UNIV PRESS INC
DOI: 10.5849/jof.11-087
关键词
allometry; soil; input-output; Hubbard Brook Experimental Forest
类别
资金
- National Science Foundation
- LTER Network Office
- Direct For Biological Sciences
- Division Of Environmental Biology [1114804] Funding Source: National Science Foundation
- Division Of Environmental Biology
- Direct For Biological Sciences [1257906] Funding Source: National Science Foundation
Nutrient budgets for forested ecosystems have rarely included error analysis, in spite of the importance of uncertainly to interpretation and extrapolation of the results. Uncertainty derives from natural spatial and temporal variation and also from knowledge uncertainty in measurement and models. For example, when estimating forest biomass, researchers commonly report sampling uncertainty but rarely propagate the uncertainty in the allometric equations used to estimate tree biomass, much less the uncertainty in the selection of which allometric equations to use. Change over time may have less uncertainty than a single measurement, if the measures are consistently biased, as by the use of inaccurate allometric equations or soil sampling techniques. Quantifying uncertainty is not as difficult as is sometimes believed. Here, we describe recent progress in quantifying uncertainty in biomass, soils, and hydrologic inputs and outputs, using examples from the Hubbard Brook Experimental Forest, New Hampshire, USA.
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