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Potential habitat distribution for the freshwater diatom Didymosphenia geminata in the continental US

Potential habitat distribution for the freshwater diatom Didymosphenia geminata in the... The diatom Didymosphenia geminata is a single-celled alga found in lakes, streams, and rivers. Nuisance blooms of D geminata affect the diversity, abundance, and productivity of other aquatic organisms. Because D geminata can be transported by humans on waders and other gear, accurate spatial prediction of habitat suitability is urgently needed for early detection and rapid response, as well as for evaluation of monitoring and control programs. We compared four modeling methods to predict D geminata 's habitat distribution; two methods use presence––absence data (logistic regression and classification and regression tree ((CART))), and two involve presence data (maximum entropy model ((Maxent)) and genetic algorithm for rule-set production ((GARP))). Using these methods, we evaluated spatially explicit, bioclimatic and environmental variables as predictors of diatom distribution. The Maxent model provided the most accurate predictions, followed by logistic regression, CART, and GARP. The most suitable habitats were predicted to occur in the western US, in relatively cool sites, and at high elevations with a high base-flow index. The results provide insights into the factors that affect the distribution of D geminata and a spatial basis for the prediction of nuisance blooms. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Frontiers in Ecology and the Environment Ecological Society of America

Potential habitat distribution for the freshwater diatom Didymosphenia geminata in the continental US

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References (38)

Publisher
Ecological Society of America
Copyright
Copyright © 2009 by the Ecological Society of America
Subject
Research Communications
ISSN
1540-9295
eISSN
1540-9309
DOI
10.1890/080054
Publisher site
See Article on Publisher Site

Abstract

The diatom Didymosphenia geminata is a single-celled alga found in lakes, streams, and rivers. Nuisance blooms of D geminata affect the diversity, abundance, and productivity of other aquatic organisms. Because D geminata can be transported by humans on waders and other gear, accurate spatial prediction of habitat suitability is urgently needed for early detection and rapid response, as well as for evaluation of monitoring and control programs. We compared four modeling methods to predict D geminata 's habitat distribution; two methods use presence––absence data (logistic regression and classification and regression tree ((CART))), and two involve presence data (maximum entropy model ((Maxent)) and genetic algorithm for rule-set production ((GARP))). Using these methods, we evaluated spatially explicit, bioclimatic and environmental variables as predictors of diatom distribution. The Maxent model provided the most accurate predictions, followed by logistic regression, CART, and GARP. The most suitable habitats were predicted to occur in the western US, in relatively cool sites, and at high elevations with a high base-flow index. The results provide insights into the factors that affect the distribution of D geminata and a spatial basis for the prediction of nuisance blooms.

Journal

Frontiers in Ecology and the Environment – Ecological Society of America

Published: Oct 1, 2009

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