EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
6/05/2017 | 11:45 AM - 12:00 PM | GLOBAL-SCALE PATTERNS AND DRIVERS OF ORGANIC-MATTER DECOMPOSITION IN STREAMS AND RIPARIAN ZONES | 306A
GLOBAL-SCALE PATTERNS AND DRIVERS OF ORGANIC-MATTER DECOMPOSITION IN STREAMS AND RIPARIAN ZONES
Organic-matter decomposition is a central process in streams and riparian ecosystems. However, global-scale patterns of decomposition rates and the environmental drivers of this process are poorly known. We present decomposition data based on the research project titled CELLulose Decomposition EXperiment (CELLDEX). Using a crowdsourcing approach with researchers from over 40 countries, CELLDEX involved the deployment of a highly standardized decomposition assay (based on measurements of cotton-strip tensile strength) in approximately 400 streams and their riparian zones. The locations represent Earth’s major biomes and span 140 degrees of latitude. We observed global-scale decomposition patterns in both streams and riparian zones, including negative relationships with latitude, and stark differences in decomposition rates among biomes. The ratio of in-stream to riparian decomposition rates showed a hump-shaped relationship with latitude, peaking at mid-latitudes. As a complement to these findings, we will estimate the mean global temperature of streams and evaluate whether background variation limits the use of decomposition assays to assess stream condition. Our findings bear relevance that ranges from establishing global baseline data and tracking global change, to providing basic information about ecosystems functioning in some of the least-studied regions of the planet.
- S29 Macrosystem Ecology of Aquatic Systems
- C31 Organic Matter Processing
- C31 Organic Matter Processing
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Presenters/Authors
Scott Tiegs
(), Dept. of Biological Sciences, Oakland University, tiegs@oakland.edu;
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David Costello
(), Kent State University, dcostel3@kent.edu;
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David Szlag
(), Oakland University, szlag@oakland.edu;
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Diana Ethaiya
(), Oakland University, dethaiya@oakland.edu ;
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Mark Isken
(), Dept. of Decision and Information Sciences, School of Business Administration, Oakland University, isken@oakland.edu;
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the CELLDEX Consortium
(), Multiple Institutions, CELLDEX.consortium@gmail.com;
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