融雪
布鲁姆
雪
环境科学
水华
气候变化
融水
反照率(炼金术)
气候学
海洋学
大气科学
自然地理学
生态学
浮游植物
营养物
地质学
地理
气象学
生物
艺术
表演艺术
艺术史
作者
Léon Roussel,Marie Dumont,Simon Gascoin,Diego Monteiro,Mathias Bavay,Pierre Nabat,Jade Ezzedine,Mathieu Fructus,Matthieu Lafaysse,Samuel Morin,Éric Maréchal
标识
DOI:10.1073/pnas.2400362121
摘要
Algae populate multiple habitats, including snow and ice, where they can form red blooms. These decrease snow albedo, accelerating snowmelt and potentially feeding back on snow and glacier decline caused by climate change. Quantifying this feedback requires the understanding of bloom evolution with climate change. Little, however, is known about the drivers of red snow blooms. Here, we develop an algorithm to analyze 5 y of satellite data from the European Alps and separate bloom occurrences from similarly colored Saharan dust depositions. In a second step, we combine the occurrences of blooms with meteorological data and snow simulations to identify the drivers of blooms. Results show that the upward migration of algae from the ground and blooming requires the presence of liquid water throughout the whole snow column for at least 46 d. Our limited data suggest that moderate dust amounts provide nutrients favorable to bloom, whereas large dust amounts hasten snowmelt and reduce its duration below the threshold required for blooming. Over the period studied, blooms cover 1.3% of the area above 1,800 m elevation, advancing the snow melt-out date by 4 to 21 d in these areas. Under warmer climates, maximum snow mass will decrease whereas snowmelt duration, that controls algal blooms' occurrences, is less sensitive to global temperature increase. In this respect, the impact of bloom on snowmelt will either remain stable (RCP4.5) or decrease (RCP8.5). Algal blooms in the Alps therefore do not constitute a positive climate feedback.
科研通智能强力驱动
Strongly Powered by AbleSci AI