data of Wulongbu peatland and Nancuo peatland

Peatland ecosystems across the Tibetan Plateau demonstrate exceptional sensitivity to climatic perturbations which serves as a primary driver of resilience dynamics and potential regime shifts. However, significant knowledge gaps persist regarding the historical trajectories of resilience in these peatlands under past climate variability, and the threshold conditions that may trigger irreversible regime shifts of in response to climatic stressors. By analyzing palaeoecological records spanning approximately six-century period, we reconstruct the temporal dynamics of diatom assemblages and plant community succession in the representative herbaceous peatland ecosystem from the southeastern Tibetan Plateau. The Wulongbu peatland initiated at approximately 480 cal yr BP due to the increasing temperature and precipitation, its autogenic process was disrupted by continuous precipitation enhancement subsequently, coupled with the valley terrain led more runoff which maintained the water table and nutrient conditions, keeping it in fen stage. Until around 60 cal yr BP, peat accumulation exceeded the threshold, runoff was no longer as the main water source, ultimately shifted into bog stage. The early warning signals based on palaeoecological records in peatlands exhibit a non-monotonic fluctuation pattern, reflecting the persistent resilience and bimodal stability of the peatland development which highlights the robustness of peatlands under climate change, with both Wulongbu and Nancuo peatlands maintaining their integrity and avoiding collapse. Based on our data, both diatom and plant communities in the ecosystem of WLB peatland underwent a regime shift, leading to a fen to bog change in the peatland. However, in NC peatland, only the plant community showed significant changes, and the peatland remained in fen stage. This resilience was further modulated by the interplay between autogenic process (like organic matter accumulation) and allogenic factors (like increased humidity). Our study offers important insights for understanding how high-altitude peatlands around the world respond resiliently to climate change.<br>We have submitted our raw data (WLBdiatomgraph. CSV, NCdiatomgraph. CSV, WLBplantgraph. CSV, NCplantgraph. CSV), secondary data used for reconstructing (Precipitation reconstruction. CSV, Temperature reconstruction. CSV) and R Script (Catena.R). This dataset consists of identification results of diatoms and plant fossils, physical and chemical properties of peat, chronology, and secondary data used for reconstructing paleoclimate