Estimating zooplankton biomass through image analysis
Estimating zooplankton biomass through image analysis
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DOI：
10.1007/s00227-003-1094-8
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发表时间：
2003-08-01
期刊：
影响因子：
2.4
通讯作者：
Broglio, E
中科院分区：
文献类型：
--
作者：
Alcaraz, M;Saiz, E;Broglio, E
根据浮游动物生物量与碳、氮含量之间的统计关系，可以用非破坏性方法可靠地估算浮游动物生物量。综合浮游动物生物量和相应的有机C和N含量进行了分析，在成对的新鲜和固定（六胺缓冲福尔马林）样品。通过对固定浮游动物样本进行半自动图像分析获得的个体体积进行整合，估计样本生物体积。用Carlo-Erba C-H-N分析仪分析了新鲜和保存的成对浮游动物相应的C和N含量。该方法允许同时测量集成和个人的数量和生物量（生物体积，C和N）光谱。它是非破坏性的，可以最大限度地减少由于样品处理过程的差异和浮游动物以外的颗粒（如浮游植物或碎屑颗粒物质）的存在而造成的误差和变异。
Zooplankton biomass can be reliably estimated by a non-destructive method based on the statistical relationship between biovolume and the contents of carbon and nitrogen. Integrated zooplankton biovolume and the corresponding organic C and N contents were analysed in paired fresh and fixed (hexamine-buffered formalin) samples. Sample biovolume was estimated through the integration of individual volumes obtained by semi-automatic image analysis on fixed zooplankton samples. The corresponding C and N contents of paired fresh and preserved zooplankton were analysed with a Carlo-Erba C-H-N Analyser. The method allows simultaneous measurement of integrated and individual numbers and biomass (biovolume, C and N) spectrum. It is non-destructive and allows the minimization of errors and variability attributable to differences in the handling processes of samples and to the presence of particles other than zooplankton, like phytoplankton or detritus particulate matter.