image: Maps of spatial patterns of angiosperm diversity (PD (a), adapted from (Lu et al., 2018)) versus palynological diversity indices S (b), d (c), Dr (d), H (e), D (f). SSIM, the structural similarity index measure.
Credit: Fuli Wu, et al
The world is experiencing its sixth mass extinction, driven by global warming and human activities. According to Prof Xiaomin Fang from the Institute of Tibetan Plateau Research, Chinese Academy of Sciences (CAS), in China, over 10% of China’s vascular plant species are now threatened. To protect modern biodiversity, a deeper understanding of evolutionary history and geological records is imperative.
Traditional studies on ancient plant diversity, however, rely on fossilized leaves and stems, and these records are often fragmented due to preservation biases. Prof Fuli Wu, a Cenozoic palynology expert, explains. "Plant spores and pollen offer a solution—they are abundant, well-preserved, and can fill gaps left by macrofossils."
In a new study that brought together the two experts and a team of researchers in China, modern pollen data were analyzed with biodiversity indices applied to reconstruct angiosperm diversity patterns across China. Lead author Dr Yuxuan Jiang standardized pollen-derived diversity metrics and compared them to modern plant distributions using the structural similarity index measure (SSIM), a novel approach in palynology.
"Our results show that the Shannon-Wiener index (H) and the Berger-Parker index (d) indices most closely matched modern diversity patterns, making them optimal tools for reconstructing past biodiversity. Moreover, we found climate strongly influenced diversity, with coldest –month temperatures being the dominant factor, followed by annual precipitation,” shares Jiang.
"Our work highlights the importance of winter temperatures in shaping plant biodiversity," adds Wu, "This insight should guide conservation strategies, particularly under climate change."
The study, published in KeAi’s Plant Diversity, paves the way for tracking plant diversity evolution through pollen records, offering a scientific basis for predicting and protecting biodiversity in a warming world with increasing extreme events.
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Contact the author: Fuli Wu, wufuli@itpcas.ac.cn
The publisher KeAi was established by Elsevier and China Science Publishing & Media Ltd to unfold quality research globally. In 2013, our focus shifted to open access publishing. We now proudly publish more than 200 world-class, open access, English language journals, spanning all scientific disciplines. Many of these are titles we publish in partnership with prestigious societies and academic institutions, such as the National Natural Science Foundation of China (NSFC).
Journal
Plant Diversity
Method of Research
Data/statistical analysis
Subject of Research
Not applicable
Article Title
Effective palynological diversity indices for reconstructing angiosperm diversity in China
COI Statement
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.