Ji Rubao, Edwards Martin, Mackas David L, Runge Jeffrey A, Thomas Andrew C
Department of Biology , Woods Hole Oceanographic Institution , Woods Hole, MA 02543 , USA.
J Plankton Res. 2010 Oct;32(10):1355-1368. doi: 10.1093/plankt/fbq062. Epub 2010 Jun 7.
Increasing availability and extent of biological ocean time series (from both in situ and satellite data) have helped reveal significant phenological variability of marine plankton. The extent to which the range of this variability is modified as a result of climate change is of obvious importance. Here we summarize recent research results on phenology of both phytoplankton and zooplankton. We suggest directions to better quantify and monitor future plankton phenology shifts, including (i) examining the main mode of expected future changes (ecological shifts in timing and spatial distribution to accommodate fixed environmental niches vs. evolutionary adaptation of timing controls to maintain fixed biogeography and seasonality), (ii) broader understanding of phenology at the species and community level (e.g. for zooplankton beyond Calanus and for phytoplankton beyond chlorophyll), (iii) improving and diversifying statistical metrics for indexing timing and trophic synchrony and (iv) improved consideration of spatio-temporal scales and the Lagrangian nature of plankton assemblages to separate time from space changes.
生物海洋时间序列(来自现场和卫星数据)的可用性和范围不断增加,这有助于揭示海洋浮游生物显著的物候变化。气候变化对这种变化范围的改变程度显然至关重要。在这里,我们总结了关于浮游植物和浮游动物物候的最新研究成果。我们提出了更好地量化和监测未来浮游生物物候变化的方向,包括:(i)研究预期未来变化的主要模式(时间和空间分布的生态变化以适应固定的环境生态位,还是时间控制的进化适应以维持固定的生物地理学和季节性);(ii)在物种和群落层面更广泛地理解物候(例如,对于除哲水蚤之外的浮游动物以及除叶绿素之外的浮游植物);(iii)改进并使用于索引时间和营养同步性的统计指标多样化;(iv)更好地考虑时空尺度以及浮游生物组合的拉格朗日性质,以区分时间变化和空间变化。