期刊
PLOS ONE
卷 9, 期 1, 页码 -出版社
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0086550
关键词
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资金
- Chinese Academy of Sciences [XDA05050206]
- National Science Foundation, USA
- Div Of Biological Infrastructure
- Direct For Biological Sciences [0933958] Funding Source: National Science Foundation
Based on the isometric hypothesis, belowground plant biomass (M-B) should scale isometrically with aboveground biomass (M-A) and the scaling exponent should not vary with environmental factors. We tested this hypothesis using a large forest biomass database collected in China. Allometric scaling functions relating M-B and M-A were developed for the entire database and for different groups based on tree age, diameter at breast height, height, latitude, longitude or elevation. To investigate whether the scaling exponent is independent of these biotic and abiotic factors, we analyzed the relationship between the scaling exponent and these factors. Overall M-B was significantly related to M-A with a scaling exponent of 0.964. The scaling exponent of the allometric function did not vary with tree age, density, latitude, or longitude, but varied with diameter at breast height, height, and elevation. The mean of the scaling exponent over all groups was 0.986. Among 57 scaling relationships developed, 26 of the scaling exponents were not significantly different from 1. Our results generally support the isometric hypothesis. M-B scaled near isometrically with M-A and the scaling exponent did not vary with tree age, density, latitude, or longitude, but increased with tree size and elevation. While fitting a single allometric scaling relationship may be adequate, the estimation of M-B from M-A could be improved with size-specific scaling relationships.
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