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

IF 3.9 2区 环境科学与生态学 Q1 ECOLOGY Remote Sensing in Ecology and Conservation Pub Date : 2023-10-30 DOI:10.1002/rse2.370
Hafiz Ali Imran, Karolina Sakowska, Damiano Gianelle, Duccio Rocchini, Michele Dalponte, Michele Scotton, Loris Vescovo
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Abstract

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.

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评估植物特征多样性作为意大利阿尔卑斯山亚高山草原物种α-和β-多样性的指标
随着在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了使用光谱变异假说(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)变异性相关的光吸收动力学驱动的(这是功能多样性的指标),而功能多样性又由生物多样性决定。在本研究中,我们检验了意大利特伦蒂诺省蒙特邦通草原不同分类等级的PT变异性、光学多样性和α-和β-多样性之间的关系。研究结果表明,在α尺度上,PT的变异性与生物多样性无关。另一方面,在群落规模(β-多样性)上观察到的结果表明,一些所研究的生物化学和生物物理PT的变化与β-多样度有关。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。结果表明,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,如家族和官能团,观察到的斯皮尔曼相关系数略高,分别高达0.64和0.61。SVH方法也被用于估计β-多样性,我们发现,在光谱多样性方法未能估计α-多样性的同一生态系统中,由光谱角度映射器计算的光谱多样性显示出更好的生物多样性代表。这些发现表明,光学和PT多样性方法可用于预测物种更替率高的草原生态系统中的物种多样性。
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来源期刊
Remote Sensing in Ecology and Conservation
Remote Sensing in Ecology and Conservation Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
9.80
自引率
5.50%
发文量
69
审稿时长
18 weeks
期刊介绍: emote Sensing in Ecology and Conservation provides a forum for rapid, peer-reviewed publication of novel, multidisciplinary research at the interface between remote sensing science and ecology and conservation. The journal prioritizes findings that advance the scientific basis of ecology and conservation, promoting the development of remote-sensing based methods relevant to the management of land use and biological systems at all levels, from populations and species to ecosystems and biomes. The journal defines remote sensing in its broadest sense, including data acquisition by hand-held and fixed ground-based sensors, such as camera traps and acoustic recorders, and sensors on airplanes and satellites. The intended journal’s audience includes ecologists, conservation scientists, policy makers, managers of terrestrial and aquatic systems, remote sensing scientists, and students. Remote Sensing in Ecology and Conservation is a fully open access journal from Wiley and the Zoological Society of London. Remote sensing has enormous potential as to provide information on the state of, and pressures on, biological diversity and ecosystem services, at multiple spatial and temporal scales. This new publication provides a forum for multidisciplinary research in remote sensing science, ecological research and conservation science.
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