Algal growth in warm temperate reservoirs: kinetic examination of nitrogen, temperature, light, and other nutrients
Algal growth in warm temperate reservoirs: kinetic examination of nitrogen, temperature, light, and other nutrients
复制标题
DOI：
10.1016/s0043-1354(98)00165-1
复制
发表时间：
1998-12
期刊：
影响因子：
12.8
通讯作者：
R. Sterner;J. Grover
中科院分区：
文献类型：
--
作者：
R. Sterner;J. Grover
通过营养盐添加实验和统计模型相结合的方法，研究了德克萨斯州两个水库浮游植物组合的营养盐限制生长。进行稀释生物测定以确定营养限制的定性和定量模式。藻类生长经常受到强烈的营养限制，特别是当温度>22°C时。就其本身而言，N往往比P更刺激，但经常检测到P和微量营养素对生长的强烈额外增强。Monod生长动力学表明，整个藻群的氮限制生长的半饱和常数在20-200μg N/L之间，与文献值相比相对较高，并随温度的升高而增加。最大生长也是温度的递增函数。对于所有显示氮限制的实验，单一温度依赖性模型都适合于生长动力学。模型μ=0.0256·T（[DIN]/66.0+[DIN]），其中μ为比生长速率（d−1），T为温度（°C），[DIN]为溶解无机氮（μmol/L），与实验结果相当吻合（r2=0.82）。然而，仅实现了对对照中生长的适度预测能力（我们对原位生长的最佳估计）（r2=0.26）。因此，即使有非常详细的，特定地点的模型参数拟合，准确地模拟自然生态系统中的藻类生长仍然是一个挑战。
Nutrient limited growth of the phytoplankton assemblage in two Texas reservoirs was studied by a combination of nutrient addition experiments and statistical modeling. Dilution bioassays were run to ascertain the qualitative and quantitative patterns in nutrient limitation. Algal growth was frequently and strongly nutrient limited, particularly when temperature was >22°C. By itself, N was more often stimulatory than P, though strong additional enhancement of growth by P and trace nutrients was often detected. Monod growth kinetics indicated that half-saturation constants for N limited growth for the entire algal assemblage were in the range 20–200μg N/L, relatively high compared to literature values, and increased with increasing temperature. Maximal growth was also an increasing function of temperature. A single temperature-dependent model was fit to the growth dynamics for all experiments showing N-limitation. The model μ=0.0256·T([DIN]/66.0+[DIN]) where μ is specific growth rate (d−1), T is temperature (°C) and [DIN] is dissolved inorganic N (μmol/L) fit the experimental results reasonably well (r2=0.82). However, only a modest predictive power for growth in the controls (our best estimate of growth in situ) was achieved (r2=0.26). Thus, even with unusually detailed, site-specific fitting of model parameters, accurately modeling algal growth in natural ecosystems can remain a challenge.