Assessing plant trait diversity as an indicators of species α- and β-diversity in a subalpine grassland of the Italian Alps,Remote Sensing in Ecology and Conservation

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Assessing plant trait diversity as an indicators of species α- and β-diversity in a subalpine grassland of the Italian Alps
Remote Sensing in Ecology and Conservation ( IF 3.9 ) Pub Date : 2023-10-30 , DOI: 10.1002/rse2.370
Hafiz Ali Imran _{1,

2,

3} , Karolina Sakowska ₄ , Damiano Gianelle _{1,

5} , Duccio Rocchini _{6,

7} , Michele Dalponte ₁ , Michele Scotton ₈ , Loris Vescovo ₁

Affiliation

As the need for ecosystem biodiversity assessment increases within the climate crisis framework, more and more studies using spectral variation hypothesis (SVH) are proposed to assess biodiversity at various scales. The SVH implies optical diversity (also called spectral diversity) is driven by light absorption dynamics associated with plant traits (PTs) variability (which is an indicator of functional diversity) which is, in turn, determined by biodiversity. In this study, we examined the relationship between PTs variability, optical diversity and α- and β-diversity at different taxonomic ranks at the Monte Bondone grasslands, Trentino province, Italy. The results of the study showed that the PTs variability, at the α scale, was not correlated with biodiversity. On the other hand, the results observed at the community scale (β-diversity) showed that the variation of some of the investigated biochemical and biophysical PTs was associated with the β-diversity. We used the Mantel test to analyse the relationship between the PTs variability and species β-diversity. The results showed a correlation coefficient of up to 0.50 between PTs variability and species β-diversity. For higher taxonomic ranks such as family and functional groups, a slightly higher Spearman's correlation coefficient of up to 0.64 and 0.61 was observed, respectively. The SVH approach was also tested to estimate β-diversity and we found that spectral diversity calculated by Spectral Angle Mapper showed to be a better proxy of biodiversity in the same ecosystem where the spectral diversity approach failed to estimate α-diversity. These findings suggest that optical and PTs diversity approaches can be used to predict species diversity in the grasslands ecosystem where the species turnover is high.

中文翻译：

评估意大利阿尔卑斯山亚高山草原的植物性状多样性作为物种 α 和 β 多样性的指标

随着气候危机框架内对生态系统生物多样性评估的需求增加，越来越多的研究提出使用光谱变异假说（SVH）来评估不同尺度的生物多样性。SVH 意味着光学多样性（也称为光谱多样性）是由与植物性状 (PT) 变异性（功能多样性的指标）相关的光吸收动力学驱动的，而植物性状变异性又是由生物多样性决定的。在这项研究中，我们研究了意大利特伦蒂诺省 Monte Bondone 草原不同分类等级的 PT 变异性、光学多样性以及 α 和 β 多样性之间的关系。研究结果表明，α 尺度的 PT 变异性与生物多样性无关。另一方面，在群落尺度（β-多样性）观察到的结果表明，一些研究的生化和生物物理 PT 的变化与 β-多样性相关。我们使用 Mantel 检验来分析 PT 变异性与物种 β 多样性之间的关系。结果显示，PT 变异性与物种 β 多样性之间的相关系数高达 0.50。对于较高的分类等级，例如科和功能类群，观察到略高的 Spearman 相关系数，分别高达 0.64 和 0.61。还测试了 SVH 方法来估计 β 多样性，我们发现由光谱角度映射器计算的光谱多样性可以更好地代表同一生态系统中的生物多样性，而光谱多样性方法无法估计 α 多样性。这些发现表明，光学和 PTs 多样性方法可用于预测物种周转率高的草原生态系统中的物种多样性。

更新日期：2023-10-31

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