Comparisons of zooplankton time series

被引:121
|
作者
Mackas, David L. [1 ]
Beaugrand, Gregory [2 ]
机构
[1] Fisheries & Oceans Canada, Inst Ocean Sci, Sidney, BC V8L 4B2, Canada
[2] Univ Lille 1, CNRS, F-62930 Wimereux, France
关键词
Zooplankton; Time series; Climate; Biomass; Phenology; Distribution shift; DECADAL-SCALE VARIABILITY; DETECTING REGIME SHIFTS; SUB-ARCTIC PACIFIC; NORTH-ATLANTIC; CLIMATE-CHANGE; CALANUS-FINMARCHICUS; BRITISH-COLUMBIA; INTERANNUAL VARIATIONS; NEOCALANUS-PLUMCHRUS; COPEPOD POPULATIONS;
D O I
10.1016/j.jmarsys.2008.11.030
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Evidence for climate-correlated low frequency variability of various components of marine ecosystems has accumulated rapidly over the past 2 decades. There has also been a growing recognition that society needs to learn how the fluctuations of these various components are linked, and to predict the likely amplitude and steepness of future changes. Demographic characteristics of marine zooplankton make them especially suitable for examining variability of marine ecosystems at interannual to decadal time scales. Their life cycle duration is short enough that there is little carryover of population membership from year to year, but long enough that variability can be tracked with monthly-to-seasonal sampling. Because zooplankton are rarely fished, comparative analysis of changes in their abundance can greatly enhance our ability to evaluate the importance of and interaction between physical environment, food web, and fishery harvest as causal mechanisms driving ecosystem level changes. A number of valuable within-region analyses of zooplankton time series have been published in the past decade, covering a variety of modes of variability including changes in total biomass, changes in size structure and species composition, changes in spatial distribution, and changes in seasonal timing. But because most zooplankton time series are relatively short compared to the time scales of interest, the statistical power of local analyses is often low, and between-region and between-variable comparisons are also needed. In this paper, we review the results of recent within- and between-region analyses. and suggest some priorities for future work. Crown Copyright (C) 2009 Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:286 / 304
页数:19
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