Next-Generation Taxonomic Guide to Freshwater Zooplankton, Poster 62
Abstract
The recent use of scanning electron microscopy (SEM) in ecological zooplankton studies has aided in distinguishing between species, discovering new or cryptic species, and assessing behavior (i.e. feeding and mating), because... [ view full abstract ]
The recent use of scanning electron microscopy (SEM) in ecological zooplankton studies has aided in distinguishing between species, discovering new or cryptic species, and assessing behavior (i.e. feeding and mating), because SEM offers greater resolution and detailed, 3-D surface morphology that light microscopy cannot. With the rising use of SEM in the study of zooplankton and other soft-tissued aquatic organisms there is a need for more cost-effective methods for dehydrating samples to overcome sample distortion caused by the high vacuum pressures and electron beam of conventional SEMs. This study will elucidate new, cost-effective ways of using conventional scanning electron microscopy (SEM) to obtain high-resolution images of zooplankton and other soft-tissued biological samples.
The use of SEM for a web-based, interactive taxonomic guide to zooplankton is especially useful. First, SEM images and cloud based platforms are more engaging and accessible for beginning scientists, students, and more readily augments public engagement and conservation efforts compared to book guides and light microscopy. Additionally, the dearth of zooplankton identification resources with high-resolution images limits taxonomic resolution (i.e. class vs. species) and thus may obstruct the understanding of key community dynamics. This guide will use high-resolution images to categorize a group of organisms that are important for nutrient cycling and food webs and will lessen the steep learning curve from current guides geared towards experts.
Authors
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Benjamin Ramcharitar '17
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Tom Root
Topic Area
Science & Technology
Session
P2 » Poster Presentations: Group 2 and Refreshments (2:45pm - Friday, 21st April, MBH Great Hall & 338)