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Lake snow removal experiment snow, ice, and Secchi depth, 2019-2021

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DataCite Commons2023-03-31 更新2025-04-15 收录
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https://portal.edirepository.org/nis/mapbrowse?packageid=knb-lter-ntl.419.1
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资源简介:
Although it is a historically understudied season, winter is now recognized as a time of biological activity and relevant to the annual cycle of north-temperate lakes. Emerging research points to a future of reduced ice cover duration and changing snow conditions that will impact aquatic ecosystems. The aim of the study was to explore how altered snow and ice conditions, and subsequent changes to under-ice light environment, might impact ecosystem dynamics in a north, temperate bog lake in northern Wisconsin, USA. This dataset resulted from a snow removal experiment that spanned the periods of ice cover on South Sparkling Bog during the winters of 2019, 2020, and 2021. During the winters 2020 and 2021, snow was removed from the surface of South Sparkling Bog using an ARGO ATV with a snow plow attached. The 2019 season served as a reference year, and snow was not removed from the lake. This dataset represents the snow depths, black and white ice thickness, and Secchi depths during the period of ice cover each winter.

尽管冬季在历史上长期未得到足够的研究关注,但如今学界已确认其为生物活动活跃的时段,且与北温带湖泊的年度循环密切相关。新兴研究表明,未来冰盖覆盖时长将缩短、积雪状况将发生改变,这两类变化均会对水生生态系统造成影响。本研究旨在探究积雪与冰况改变,以及随之而来的冰下光照环境变化,可能会对美国威斯康星州北部一处北温带泥炭沼泽湖泊的生态系统动态产生何种影响。本数据集源自一项除雪实验,实验覆盖了2019、2020及2021年冬季期间南辉泥炭沼(South Sparkling Bog)的冰盖时段。2020年与2021年冬季,研究人员使用加装除雪犁的ARGO全地形车(ARGO ATV)清除了南辉泥炭沼湖面的积雪。2019年冬季作为对照年份,未对该湖泊开展除雪作业。本数据集记录了各冬季冰盖时段内的积雪深度、黑冰(black ice)与白冰(white ice)厚度,以及塞氏盘深度(Secchi depth)。
提供机构:
Environmental Data Initiative
创建时间:
2022-09-26
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