Hui Dafeng, Wang Jun, Shen Weijun, Le Xuan, Ganter Philip, Ren Hai
Department of Biological Sciences, Tennessee State University, Nashville, Tennessee, United States of America.
Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.
PLoS One. 2014 Jan 22;9(1):e86550. doi: 10.1371/journal.pone.0086550. eCollection 2014.
Based on the isometric hypothesis, belowground plant biomass (MB) should scale isometrically with aboveground biomass (MA) 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 MB and MA 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 MB was significantly related to MA 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. MB scaled near isometrically with MA 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 MB from MA could be improved with size-specific scaling relationships.
基于等比假设,地下植物生物量(MB)应与地上生物量(MA)呈等比缩放,且缩放指数不应随环境因素而变化。我们利用在中国收集的一个大型森林生物量数据库对这一假设进行了检验。基于树龄、胸径、树高、纬度、经度或海拔,为整个数据库以及不同组开发了MB与MA之间的异速生长缩放函数。为了研究缩放指数是否独立于这些生物和非生物因素,我们分析了缩放指数与这些因素之间的关系。总体而言,MB与MA显著相关,缩放指数为0.964。异速生长函数的缩放指数不随树龄、密度、纬度或经度而变化,但随胸径、树高和海拔而变化。所有组的缩放指数平均值为0.986。在建立的57种缩放关系中,26种缩放指数与1没有显著差异。我们的结果总体上支持等比假设。MB与MA近似呈等比缩放,且缩放指数不随树龄、密度、纬度或经度而变化,但随树木大小和海拔升高。虽然拟合单一的异速生长缩放关系可能就足够了,但使用特定大小的缩放关系可以改进从MA估计MB的方法。