Center for Arts and Sciences, Fukui Prefectural University, 4-1-1 Kenjojima, Matsuoka, Yoshida-gun, Eiheiji-cho, Fukui, 910-1195, Japan.
Sci Rep. 2024 Aug 16;14(1):19038. doi: 10.1038/s41598-024-69851-0.
Accurate estimation of cryptogam biomass, encompassing bryophytes and lichens, is crucial for understanding their ecological significance. This estimation is conducted based on the strong correlations between mass and volume of cryptogams. However, mass-volume correlations vary among cryptogams because of their morphological differences. This problem can be solved using models that consider life forms that classify cryptogams based on morphological similarities. In this study, we investigated whether life form models improve cryptogam biomass estimation accuracy. The cryptogam mass-volume correlation of each life form was estimated using Bayesian linear models. The coefficients and intercepts of linear models differed between life forms, which was attributed to the morphological characteristics of each life form. Therefore, life form models can improve the accuracy of estimation models by incorporating morphological differences. However, taxonomic models that consider only the taxonomic difference (bryophytes vs lichens) demonstrated better overall estimation than the life form models, probably because of the ability of taxonomic models to capture systematic differences between bryophytes and lichens. Furthermore, these models may mitigate estimation errors related to morphological variations that cannot be adequately represented by life form types. Based on these results, we propose the appropriate use of estimation models.
准确估算隐花植物生物量，包括苔藓植物和地衣，对于理解它们的生态意义至关重要。这种估算基于隐花植物的质量和体积之间存在很强的相关性。然而，由于形态差异，隐花植物的质量-体积相关性存在差异。这个问题可以通过使用模型来解决，这些模型考虑了基于形态相似性对隐花植物进行分类的生活型。在本研究中，我们研究了生活型模型是否能提高隐花植物生物量估算的准确性。使用贝叶斯线性模型估算了每个生活型的隐花植物质量-体积相关性。线性模型的系数和截距在生活型之间存在差异，这归因于每个生活型的形态特征。因此，生活型模型可以通过纳入形态差异来提高估算模型的准确性。然而，仅考虑分类差异（苔藓植物与地衣）的分类模型比生活型模型表现出更好的总体估算效果，这可能是因为分类模型能够捕捉到苔藓植物和地衣之间的系统差异。此外，这些模型可能会减轻由于生活型类型无法充分代表的形态变化而导致的估算误差。基于这些结果，我们提出了适当使用估算模型的建议。
