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  • 标题:The effect of temperature on egg development rate and hatching success in Calanus glacialis and C. finmarchicus
  • 本地全文:下载
  • 作者:Agata Weydmann ; Adrian Zwolicki ; Krzysztof Muś
  • 期刊名称:Polar Research
  • 印刷版ISSN:1751-8369
  • 出版年度:2015
  • 卷号:34
  • 期号:0
  • DOI:10.3402/polar.v34.23947
  • 语种:English
  • 出版社:Co-Action Publishing
  • 摘要:The pelagic copepods Calanus glacialis and C. finmarchicus are important components of Arctic marine ecosystems. Projected climate warming may influence the roles they play in the ecosystem. Arctic C. glacialis and boreal C. finmarchicus eggs were incubated at temperatures of 0, 2.5, 5, 7.5 and 10°C to investigate the effects of increasing temperature on egg development rate and hatching success. The effect of increasing temperature on median development time, described by Bĕlehrádek’s temperature function, was examined using a Bayesian approach. For the studied temperature range, we observed the increase of egg development rates with the increasing temperature, although there was no change in hatching success. Calanus finmarchicus eggs hatched significantly faster than C. glacialis above approximately 2°C; the difference was progressively larger at higher temperatures. This may indicate that the boreal species have physiological advantages in areas where ambient temperatures increase, which may lead to C. finmarchicus outcompeting the Arctic species in situations where timing is important, for example, in relation to spring bloom dynamics. Development time to hatching (DH) was evaluated using Bĕlehrádek’s model and a set of different assumptions. The models that best fitted our data were those with species-specific parameters: DH (h)=5940 (T+9.7)−1.63 for C. finmarchicus and DH (h)=14168 (T+14)−1.75 for C. glacialis.Keywords: Zooplankton; Arctic; climate change; tipping point; Bĕlehrádek’s temperature function; Bayesian statistics.(Published: 16 June 2015)Citation: Polar Research 2015, 34, 23947, http://dx.doi.org/10.3402/polar.v34.23947
  • 关键词:marine biology;Zooplankton; Arctic; climate change; tipping point; Bĕlehrádek’s temperature function; Bayesian statistics
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