A high resolution bio‐optical model of microalgal growth: Tests using sea‐ice algal community time‐series data
A high resolution bio‐optical model of microalgal growth: Tests using sea‐ice algal community time‐series data
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微藻生长的高分辨率生物光学模型：使用海冰藻群落时间序列数据进行测试
DOI：
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发表时间：
1994
期刊：
影响因子：
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通讯作者：
C. Sullivan
中科院分区：
文献类型：
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作者：
K. Arrigo;C. Sullivan
建立了一个高分辨率、二维(z，t)时间相关的微藻生长模型，其中模拟的生理响应由环境温度、光谱辐射、营养物质浓度和盐度决定。该模型基于依赖最大温度的生长率的概念，该生长率随后会因光照或营养不足以及低于或高于最佳盐度而受到限制而降低。这些变量的限制术语来自对依赖于营养、光和盐度的藻类生长(或光合作用)速率的研究，这些速率已被归一化为每个变量的最大观测速率。特别强调开发光限制的配方，其中包括光谱辐照度的昼夜变化、光周期的季节性变化以及生化C：Chla比率的相关调整的影响。这一级别的细节是必要的，因为光限制的重要性已经在极地地区的日、季节和年度时间尺度上得到了证明。通过将模拟结果与1982年南极洲麦克默多海湾的海冰微藻水华进行比较，对该模型进行了验证。模型输入是1982年的环境信息和来自海冰群落的生物系数。模型结果与1982年在各种环境条件下观测到的微藻水华动态非常吻合。无论雪的厚度如何(测试了无雪、5厘米和IO厘米的积雪情景)，预测的Chla现存量与凝结冰和小片冰的观测值一致在15%以内，并且预测的Chla的垂直分布与观测结果显示出相同的深度依赖模式。
A high resolution, two-dimensional (z, t) time-dependent model of microalgal growth has been developed in which simulated physiological responses arc determined by ambient temperature, spectral irradiance, nutrient concentration, and salinity. The model is based on the concept ofa maximum temperaturedependent growth rate that is subsequently reduced by limitations imposed from insufficient light or nutrients, as well as sub- or supraoptimal salinity. Limitation terms for these variables are derived from studies of nutrient-, light-, and salinity-dependent algal growth (or photosynthetic) rates that have been normalized to maximum observed rates with respect to each variable. Particular emphasis was placed on developing the formulation for light limitation, which includes the effects of diel changes in spectral irradiance, seasonal changes in photoperiod, and related adjustments in biochemical C : Chl a ratios. This level of detail was needed because the importance of light limitation has been demonstrated on diurnal, seasonal, and annual time scales in polar regions. The model was tested by comparing simulation results to a sea-ice microalgal bloom in McMurdo Sound, Antarctica, in 1982. Environmental information from 1982 and biological coefftcients derived from sea-ice communities were used as model input. Model results showed excellent agreement with microalgal bloom dynamics observed in 1982 under a variety of environmental conditions. Predicted Chl a standing crops were consistently within 15% of observations for the congelation ice and platelet ice, regardless of snow thickness (snow-free, 5-cm, and IO-cm snowcover scenarios were tested), and predicted vertical distributions of Chl a exhibited the same depthdependent pattern as observations.