2026-10-07T10:02:52Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34021539 2026-09-29T06:09:09Z category_24223 item_type_3 month_year_09_2026

<b>Biogeographic reorganization of eukaryotic ultraphytoplankton under warming: winners, losers, and risk hotspots in China’s lakes</b> Changqing Liu (22889075) Freshwater ecology eukaryotic ultraphytoplankton China’s lake ecosystems <p dir="ltr"><a href="" target="_blank">Despite their role as primary producers in lake ecosystems, eukaryotic ultraphytoplankton remain underexplored, particularly regarding diversity and national-scale distribution. During a four-year national survey, we assembled China’s first nationwide molecular database of eukaryotic ultraphytoplankton across 226 lakes, revealing rich, distinctive, and previously unclassified diversity. Mean annual temperature emerged as the primary driver of regional variation in richness and community composition, alongside contributions from other environmental factors. The Eastern Plain exhibited the highest <i>α</i>-diversity but the lowest among-lake compositional heterogeneity and was dominated by Chlorophyceae, Cryptophyceae, Eustigmatophyceae, and Synchromophyceae; in contrast, the Qinghai–Tibet Plateau showed the lowest diversity but the highest heterogeneity, with enrichment of small, flagellated mixotrophs. Using ZOTU-level thermal optima and tolerance ranges, projections indicate national richness losses of approximately 34–48% by 2100, with loss hotspots concentrated in the Eastern Plain, whereas plateau lakes would act as recipient refugia. Under continued warming, small, fast-growing chlorophyte phototrophs are projected to emerge as relative ‘winners’, but larger mixotrophs as relative ‘losers’, thereby potentially lowering trophic transfer efficiency and weakening carbon sequestration in China’s lakes. This database and thermal-niche framework provide a foundation for forecasting and managing warming-driven redistribution of ultraphytoplankton, with implications for biodiversity conservation, water quality, and inland-water carbon budgets.</a></p> 2026-09-29T06:09:09Z Dataset Dataset 10.6084/m9.figshare.34021539.v1 https://figshare.com/articles/dataset/_b_Biogeographic_reorganization_of_eukaryotic_ultraphytoplankton_under_warming_winners_losers_and_risk_hotspots_in_China_s_lakes_b_/34021539 CC BY 4.0