Graduate School of Geography, Clark University, Worcester, Massachusetts, United States of America.
University of Maryland Center for Environmental Science, Solomons, Maryland, United States of America.
PLoS One. 2022 Jul 8;17(7):e0267586. doi: 10.1371/journal.pone.0267586. eCollection 2022.
Decreased sea ice cover in the northern Bering Sea has altered annual phytoplankton phenology owing to an expansion of open water duration and its impact on ocean stratification. Limitations of satellite remote sensing such as the inability to detect bloom activity throughout the water column, under ice, and in cloudy conditions dictate the need for shipboard based measurements to provide more information on bloom dynamics. In this study, we adapted remote sensing land cover classification techniques to provide a new means to determine bloom stage from shipboard samples. Specifically, we used multiyear satellite time series of chlorophyll a to determine whether in-situ blooms were actively growing or mature (i.e., past-peak) at the time of field sampling. Field observations of chlorophyll a and pheophytin (degraded and oxidized chlorophyll products) were used to calculate pheophytin proportions, i.e., (Pheophytin/(Chlorophyll a + Pheophytin)) and empirically determine whether the bloom was growing or mature based on remotely sensed bloom stages. Data collected at 13 north Bering Sea stations each July from 2013-2019 supported a pheophytin proportion of 28% as the best empirical threshold to distinguish a growing vs. mature bloom stage. One outcome was that low vs. high sea ice years resulted in significantly different pheophytin proportions in July; in years with low winter-to-spring ice, more blooms with growing status were observed, compared to later stage, more mature blooms following springs with abundant seasonal sea ice. The detection of growing blooms in July following low ice years suggests that changes in the timing of the spring bloom triggers cascading effects on mid-summer production.
北白令海海冰覆盖面积的减少改变了浮游植物的年物候期,这主要是因为开阔水域持续时间的延长及其对海洋分层的影响。卫星遥感的局限性,例如无法检测到整个水柱、冰下和多云条件下的浮游植物爆发活动,这就需要依靠船载测量来提供更多关于浮游植物动态的信息。在这项研究中,我们采用了遥感土地覆盖分类技术,为从船载样本中确定浮游植物爆发阶段提供了一种新的方法。具体来说,我们利用多年的叶绿素 a 卫星时间序列数据来确定现场采样时浮游植物是否处于活跃生长或成熟(即过高峰期)阶段。利用现场观测到的叶绿素 a 和脱镁叶绿素(降解和氧化的叶绿素产物)来计算脱镁叶绿素的比例,即(脱镁叶绿素/(叶绿素 a + 脱镁叶绿素)),并根据遥感浮游植物爆发阶段来经验性地确定浮游植物是处于生长阶段还是成熟阶段。2013-2019 年 7 月,在北白令海的 13 个站点采集的数据支持 28%的脱镁叶绿素比例作为区分生长和成熟浮游植物爆发阶段的最佳经验阈值。一个结果是,低海冰年和高海冰年导致 7 月脱镁叶绿素比例存在显著差异;在冬季到春季海冰较少的年份,观测到更多处于生长状态的浮游植物爆发,而在春季海冰丰富的年份,由于浮游植物处于更晚的阶段,成熟的浮游植物爆发更多。在低海冰年 7 月之后检测到生长的浮游植物爆发表明,春季浮游植物爆发时间的变化引发了对夏季中期产量的级联效应。