Evaluation of Size Structure in Freshwater Cyanobacterial Populations: Methods to Quantify Risk Associated with Changes in Biomass and Microcystin Concentrations
Evaluation of Size Structure in Freshwater Cyanobacterial Populations: Methods to Quantify Risk Associated with Changes in Biomass and Microcystin Concentrations作者机构：Lim-Tex North Andover MA USA Department of Zoology University of New Hampshire Durham NH USA Manchester Water Works Manchester NH USA Town of Barnstable Barnstable MA USA Association to Preserve Cape Cod Dennis MA USA
出 版 物：《Journal of Water Resource and Protection》 (水资源与保护（英文）)
年 卷 期：2019年第11卷第6期
页 面：810-829页
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：Microcystis Dolichospermum Phycocyanin Microcystins Growth Rates
摘 要：Cyanobacterial populations in surface waters, including drinking water supplies and recreational waters, represent an ever present challenge for resource managers. As communities continuously respond to external and internal processes, dynamic profiles of composition, dominance, growth and toxigenicity emerge. In this study measures of size structure and biomass, quantified using light microscopy and fluorometry, were used to estimate microcystin concentrations through linear regression analysis. Toxigenic profiles using cyanobacterial biomass were developed for lakes dominated by Microcystis spp. and Dolichospermum spp., influenced by both genus-specific pigment concentrations as well as microcystin concentrations. Community composition (Log %MIC) and biomass were used to describe microcystin concentrations in mixed assemblages, where composition was the first input variable. The accessory photopigment phycocyanin was used to describe the linear relationship between the daily growth and net microcystin production rates in the bloom-forming Microcystis spp. samples, suggesting that this size-fractionated sample may provide indications of potential toxigenicity in the whole lake water sample. Future investigations using fluorometric evaluation of cyanobacterial populations could provide additional applications and metrics for use by resource managers to quantify risk association with elevated cyanotoxin concentrations.
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