Sun Jingjing, Gallego-Sala Angela, Yu Zicheng
Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains (Ministry of Education), School of Geographical Sciences, Northeast Normal University, Changchun, Jilin, 130024, China.
Geography Department, College of Life and Environmental Sciences, University of Exeter, Exeter, Devon, EX4 4QE, UK.
Sci Rep. 2023 Sep 8;13(1):14811. doi: 10.1038/s41598-023-39699-x.
The Tibetan Plateau (TP) hosts a variety of mountain peatlands that are sensitive to the amplified warming in this region. However, we still lack a basic understanding of environmental and climatic factors controlling peatland distribution in the region. Here we use a bioclimatic envelope model (PeatStash) and environmental analysis that utilise three peatland datasets-(a) the well-studied Zoige peatland complex, (b) a literature-based dataset of TP peatlands sites, and (c) an existing global peatland map (PEATMAP)-to investigate major drivers of peatland distribution in the TP. The Zoige peatland complex is defined by gentle slopes (< 2°), mean annual temperature at 0-2 °C, and soil moisture index > 1.7, much narrower thresholds than those stemming from PEATMAP. Using these narrower thresholds to predict future changes, we found that the Zoige peatland complex will shrink greatly under full-range future warming scenarios (both SSP1-2.6 and SSP5-8.5). Modelling peatland distribution in the entire TP remains challenging because accurate environmental and climate data at high resolution and a reliable peatland distribution map are still lacking. Improved peatland mapping supported by ground-truthing is necessary to understand drivers of peatland distribution, assess carbon storage and other ecosystem services, and predict the TP's peatlands fate under climate change.
青藏高原分布着各种山地泥炭地,这些泥炭地对该地区加剧的变暖很敏感。然而,我们对控制该地区泥炭地分布的环境和气候因素仍缺乏基本了解。在此,我们使用生物气候包络模型(PeatStash)和环境分析,利用三个泥炭地数据集——(a)经过充分研究的若尔盖泥炭地复合体,(b)基于文献的青藏高原泥炭地地点数据集,以及(c)现有的全球泥炭地图(PEATMAP)——来调查青藏高原泥炭地分布的主要驱动因素。若尔盖泥炭地复合体的定义是坡度平缓(<2°)、年平均温度在0 - 2°C之间以及土壤湿度指数>1.7,这些阈值比源自PEATMAP的阈值窄得多。利用这些更窄的阈值来预测未来变化,我们发现,在未来全范围变暖情景下(SSP1 - 2.6和SSP5 - 8.5),若尔盖泥炭地复合体将大幅萎缩。对整个青藏高原的泥炭地分布进行建模仍然具有挑战性,因为仍缺乏高分辨率的准确环境和气候数据以及可靠的泥炭地分布图。需要通过实地验证来改进泥炭地测绘,以了解泥炭地分布的驱动因素、评估碳储存和其他生态系统服务,并预测气候变化下青藏高原泥炭地的命运。