Evaluation of a method for ballast water risk–release assessment using a protist surrogate

被引:0
|
作者
Malachi N. Granmo
Euan D. Reavie
Matthew C. TenEyck
Donn K. Branstrator
Tyler Schwerdt
Allegra A. Cangelosi
Meijun Cai
机构
[1] University of Minnesota Duluth,Natural Resources Research Institute
[2] University of Wisconsin-Superior,Lake Superior Research Institute
[3] University of Minnesota Duluth,Department of Biology
[4] AMI Consulting Engineers,undefined
来源
Hydrobiologia | 2018年 / 817卷
关键词
Mesocosm; Invasive species; Phytoplankton; Experiment; Algae;
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中图分类号
学科分类号
摘要
Understanding the risk–release relationship (the relationship between density of organisms released and associated risk of establishment of a population) of aquatic invasive species is important for setting policy standards to protect natural water bodies from species spread through human-mediated vectors, in particular ballast discharge. To test the viability of an experimental and analytical approach to investigate this relationship, we conducted a mesocosm-based experiment using a test organism, Melosira varians (a freshwater phytoplanktonic diatom native to the Great Lakes). Varying densities of the test organism were added to 19-l mesocosms of water from the Duluth-Superior Harbor at Superior, Wisconsin, in three consecutive trials over 4 months. Each mesocosm was sampled weekly for 4 weeks, and the size of the M. varians population and phytoplankton community was measured via assessments of cell densities. Population responses varied by initial M. varians density. Based on a logistic model, the inoculation density necessary for establishment of M. varians was approximately 12 cells/ml. These findings suggest mesocosm experiments coupled with logistic modeling have the potential to characterize risk–release relationships. Additional investigations using similar methods should be undertaken with a variety of test organisms and environmental conditions to further vet this method and extend understanding of risk–release relationships.
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页码:11 / 22
页数:11
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