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Density derived estimates of standing crop and net primary production in the giant kelp Macrocystis pyrifera

机译:密度得出的巨型海藻巨囊藻的常熟作物和净初级生产力的估算值

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摘要

Assemblages of macroalgae are believe to be among the most productive ecosystems in the world, yet difficulties in obtaining direct estimates of biomass and primary production have led to few macroalgal data sets from which the consequences of long-term change can be assessed. We evaluated the validity of using two easily measured population variables (frond density and plant density) to estimate the more difficult to measure variables of standing crop and net primary production (NPP) in the giant kelp Macrocystis pyrifera off southern California. Standing crop was much more strongly correlated to frond density than to plant density. Frond density data collected in summer were particularly useful for estimating annual NPP, explaining nearly 80% of the variation in the NPP from year to year. Data on frond densities also provided a relatively good estimate of seasonal NPP for the season that the data were collected. In contrast, estimates of seasonal and annual NPP derived from plant density data were less reliable. These results indicate that data on frond density collected at the proper time of year can make assessments of NPP by giant kelp more tractable. They also suggest that other easily measured variables that are strongly correlated with standing crop, such as surface canopy area, might serve as similarly useful proxies of NPP.
机译:人们相信大型藻类的组合是世界上生产力最高的生态系统之一,但是难以直接获得生物量和初级生产量的估计值,因此很少有大型藻类数据集可用来评估长期变化的后果。我们评估了使用两个易于测量的种群变量(前缘密度和植物密度)来估算加利福尼亚南部海带巨海藻Macrocystis pyrifera中站立作物和净初级生产(NPP)变量的更难度量的有效性。站立作物与叶面密度的关系远比与植物密度的关系大。夏季收集的叶面密度数据对于估算年度NPP尤其有用,可以解释每年NPP的近80%的变化。叶密度数据还提供了收集数据季节的季节NPP的相对较好的估计。相反,从植物密度数据得出的季节性和年度NPP估算值则较不可靠。这些结果表明,在每年的适当时间收集的叶密度数据可以使大型海藻对NPP的评估更加容易。他们还建议,与地表作物高度相关的其他易于测量的变量,例如地表冠层面积,也可以作为NPP的类似有用代理。

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