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To measure chlorophyll or phytoplankton biovolume: an aquatic conundrum with implications for the management of lakes
Lake and Reservoir Management ( IF 1.1 ) Pub Date : 2019-04-03 , DOI: 10.1080/10402381.2019.1607958
Daniel E. Canfield 1 , Roger W. Bachmann 1 , Mark V. Hoyer 1 , Liselotte S. Johansson 2 , Martin Søndergaard 2 , Erik Jeppesen 2
Affiliation  

Abstract Canfield DE, Jr., Bachmann RW, Hoyer MV, Johansson LS, Søndergaard M, and Jeppesen E. 2018. To measure chlorophyl or phytoplankton biovolume: an aquatic conundrum with implications for the management of lakes. Lake Reserv Manage. 35:181–192. The log10-transformed relationship between measured phytoplankton biovolumes and chlorophyll concentrations, surrogates for algal biomass, was examined using 13,000-plus paired samples collected from lakes in Denmark (250), the continental United States (1835), and Florida (159). A positive (R2 = 0.57) relationship was found but predicted biovolumes had a 95% confidence interval of 11–912%. Regressing chlorophyll as opposed to phytoplankton biovolume against total phosphorus (TP) (R2 = 0.43 vs. R2 = 0.21), total nitrogen (TN) (R2 = 0.24 vs. R2 = 0.08), and Secchi disk (SD) (R2 = 0.60 vs. R2 = 0.39) yielded stronger relationships. Three algal groups (Cyanophyta, Chlorophyta, and Bacillariophyceae) contributed approximately 100% of the biovolume in some samples. For these groups and samples, biovolume increased significantly with chlorophyll (R2 = 0.35, R2 = 0.27, and R2 = 0.31, respectively) and TP (R2 = 0.18, R2 = 0.13, and R2 = 0.13) and decreased significantly with increases in SD (R2 = 0.29, R2 = 0.31, and R2 = 0.17). All empirical relationships had substantial confidence intervals. Contingency tables for variance within the independent (horizontal variance) and dependent (vertical variance) variables are presented, providing managers information on how much change is required to insure noticeable effects. If resources are limited, chlorophyll is recommended for monitoring long-term trends because it provides an estimate of biomass magnitude and has better relationships with nutrients and SD. Managers may integrate occasional biovolume measurements if concerned with Cyanophyta abundance, taste and odor production, or changing algal population dynamics.

中文翻译:

测量叶绿素或浮游植物生物量:一个对湖泊管理有影响的水生难题

摘要 Canfield DE, Jr.、Bachmann RW、Hoyer MV、Johansson LS、Søndergaard M 和 Jeppesen E. 2018。测量叶绿素或浮游植物生物量:对湖泊管理有影响的水生难题。湖泊保护区管理。35:181–192。使用从丹麦 (250)、美国大陆 (1835) 和佛罗里达 (159) 的湖泊收集的 13,000 多个配对样本检查了测量的浮游植物生物量和叶绿素浓度之间的 log10 转换关系,藻类生物量的替代品。发现了正 (R2 = 0.57) 关系,但预测的生物量具有 11-912% 的 95% 置信区间。相对于总磷 (TP) (R2 = 0.43 vs. R2 = 0.21)、总氮 (TN) (R2 = 0.24 vs. R2 = 0.08) 和 Secchi disk (SD) (R2 = 0.60与 R2 = 0。39) 产生了更牢固的关系。在一些样品中,三个藻类群(蓝藻门、绿藻门和杆菌科)贡献了大约 100% 的生物量。对于这些组和样本,生物量随着叶绿素(分别为 R2 = 0.35、R2 = 0.27 和 R2 = 0.31)和 TP(R2 = 0.18、R2 = 0.13 和 R2 = 0.13)而显着增加,并且随着 SD 的增加而显着减少(R2 = 0.29,R2 = 0.31,R2 = 0.17)。所有经验关系都有很大的置信区间。提供了独立变量(水平方差)和因变量(垂直方差)内方差的列联表,为管理者提供了需要多少变化才能确保显着效果的信息。如果资源有限,建议将叶绿素用于监测长期趋势,因为它提供了生物量大小的估计值,并且与养分和 SD 有更好的关系。如果关注蓝藻的丰度、味道和气味的产生,或改变藻类种群动态,管理人员可能会整合偶尔的生物量测量。
更新日期:2019-04-03
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