EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
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5/24/2018 | 9:15 AM - 9:30 AM | IDENTIFYING AND APPLYING OPTIMUM ENVIRONMENTAL PREDICTORS IN ACCORDANCE WITH MACRO-INVERTEBRATE SPECIES PREFERENCES | 310 B
IDENTIFYING AND APPLYING OPTIMUM ENVIRONMENTAL PREDICTORS IN ACCORDANCE WITH MACRO-INVERTEBRATE SPECIES PREFERENCES
Species distribution models (SDMs) are frequently applied in stream ecological analysis to examine responses of taxa under future global change. However, it is common that the same set of environmental predictor variables is uniformly applied to every species in an entire community to predict their distribution. It is well established that individual species differ in their environmental preferences, crucial for their reproduction and survival. Accordingly, it is reasonable to suggest that groups of species will exhibit contrasting responses to environmental conditions shaping current and future distribution predictions. Using benthic macro-invertebrates, we test whether applying a specific set of environmental predictors to individual groups of taxa within a community will optimize the distribution predictions through SDMs.
We assess the relative importance of environmental predictors from five categories (hydrology, climate, topography, geology and land-use) for over 100 benthic macro-invertebrate species across Germany and group them according to their susceptibility to each predictor category.
We then predict each species distribution using the optimum set of environmental predictors and test for improved SDM performance. Finally, we present the classification of species according to their responses to the different environmental predictors.
- Spatial
- Modeling
- Climate
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Presenters/Authors
Katherine Irving
(), Southern California Coastal Water Research Project, katiei@sccwrp.org;
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Mathias Kuemmerlen
(), Senckenberg Research Institute, mkuemmerlen@senckenberg.de;
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Sonja C. Jähnig
(), Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany , sonja.jaehnig@igb-berlin.de;
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