2022 Early Hearing Detection & Intervention Virtual Conference
March 13 - 15, 2022
5/24/2018 | 9:45 AM - 10:00 AM | INCORPORATING FOOD WEBS INTO BIOASSESSMENT USING METABARCODING AND TEXT MINING: DO DERIVED NETWORK METRICS REFLECT ECOSYSTEM FUNCTION? | 321
INCORPORATING FOOD WEBS INTO BIOASSESSMENT USING METABARCODING AND TEXT MINING: DO DERIVED NETWORK METRICS REFLECT ECOSYSTEM FUNCTION?
Wetlands harbor a disproportionate amount of biodiversity and provide essential ecosystem services, yet 64-71% of global wetlands have disappeared since the 1900s. Given these ongoing threats, we require improved tools for wetland functional assessment to support effective management. Food web analysis is a powerful, under-utilized tool in ecosystem management. Using DNA metabarcoding to characterize aquatic communities can provide a standardized, sensitive method for rapid species detection and community assessment, but it does not yield requisite trait information for food web construction. Text-mining facilitates this, allowing trait data to be gathered for specific taxa across large databases. We combined DNA metabarcoding with text mining to create heuristic food webs for the Grand Lake Meadows, Atlantic Canada's largest freshwater wetland complex. We asked: (1) how do food web properties correlate with litter decomposition, (2) how do food web properties compare to traditional community metrics at predicting litter decomposition, and (3) do DNA-based food webs detect changes in structural-functional relationships across wetland protection levels? We explore how food webs, DNA, and decomposition could be integrated into future wetland assessments, elucidating relationships between biodiversity and ecosystem function.
- Network
- Biodiversity
- Wetland
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Presenters/Authors
Zacchaeus Compson
(), University of North Texas, zacchaeus.greg.compson@gmail.com;
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Wendy Monk
(), Environment and Climate Change Canada @ Canadian Rivers Institute, Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, NB, Canada, wmonk@unb.ca;
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Natalie Rideout
(), Canadian Rivers Institute, Department of Biology, University of New Brunswick, Fredericton, NB, Canada, nrideout@unb.ca;
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Christoper Baker
(), University of New Brunswick, bakerc@unb.ca;
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Mohammad Sadnan Al-Manir
(), University of New Brunswick, sadnan.almanir@unb.ca;
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Sonja Stefani
(), Dresden University of Technology, Institute of Hydrobiology, Dresden, Saxony, Germany, stefani.sonja@googlemail.com;
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Mehrdad Hajibabaei
(), Centre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, ON, Canada, mhajibab@uoguelph.ca;
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Donald Baird
(), Environment and Climate Change Canada @ Canadian Rivers Institute, Department of Biology, University of New Brunswick, Fredericton, NB, Canada, djbaird@unb.ca;
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