Journal: Freshwater Science

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University of Chicago Press

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2015 - 20206
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Publications 1 - 6 of 6
  • Fire meets inland water via burned wood: and then what?
    Item type: Journal Article
    Vaz, Pedro G.; Merten, Eric C.; Warren, Dana R.; et al. (2015)
    Freshwater Science
  • Leaf-litter breakdown in tropical streams: is variability the norm?
    Item type: Journal Article
    Boyero, Luz; Pearson, Richard G.; Gessner, Mark O.; et al. (2015)
    Freshwater Science
  • Long-term ecological responses of the River Spöl to experimental floods
    Item type: Journal Article
    Robinson, Christopher T.; Siebers, Andre R.; Ortlepp, Johannes (2018)
    Freshwater Science
  • River fragmentation and fish population structure: A comparison of three Swiss midland rivers
    Item type: Journal Article
    Gouskov, Alexandre; Vorburger, Christoph (2016)
    Freshwater Science
  • Towards integrating art and freshwater science
    Item type: Journal Article
    Robinson, Christopher T.; Hediger, Irene; Li, Judy; et al. (2020)
    Freshwater Science
  • Effects of site selection and taxonomic resolution on the inference of stream invertebrate responses to environmental conditions
    Item type: Journal Article
    Caradima, Bogdan; Reichert, Peter; Schuwirth, Nele (2020)
    Freshwater Science
    Key decisions in the design of biomonitoring programs include taxonomic resolution, geographic extent, and site selection, each of which can affect our ability to infer human impacts on biodiversity from biomonitoring data. These decisions are constrained by monitoring goals and budget limitations, which may require trade-offs between them. In this study, we use species distribution models (SDMs) to assess the effects of key decisions in biomonitoring design on our ability to infer the effects of natural and anthropogenic environmental conditions on the occurrence of benthic macroinvertebrates in streams. We compared 4 datasets that differ in their site-selection strategy, geographic extent, and taxonomic resolution using data from Swiss federal and cantonal biomonitoring programs. We used individual SDMs with 3-fold cross validation to identify the environmental variables that best predict the probability of taxa occurrence across the datasets. Wethen used a hierarchical multi-species distribution model (hmSDM) to identify how key aspects of biomonitoring design influence the relative importance of the selected explanatory (predictor) variables in the model as well as the model’s predictive performance. The relative importance of the explanatory variables in the hmSDMs was lowest for the dataset with a grid-based site-selection approach and family-level resolution. An increase in predictive performance was achieved by either using a species-level taxonomic resolution for Ephemeroptera, Plecoptera, and Trichoptera or by combining different biomonitoring programs at the family level to increase the number of sites and improve the coverage of environmental conditions. Selecting monitoring sites to provide a good coverage of environmental conditions, while also targeting sites with rare combinations of environmental conditions, could further improve biomonitoring program data. Models based on finer taxonomic resolution revealed that widespread families consist of species and genera with different and stronger responses to environmental conditions. However, many families include species that are too rare to allow inference of significant responses to environmental conditions. We show that hmSDMs of stream invertebrates can contribute to the selection of specific taxa for identification at finer taxonomic resolution. This strategy could facilitate the standardization and combination of multiple biomonitoring datasets and improve the identifiability of stream invertebrate responses to environmental conditions in biomonitoring programs. © 2020 by The Society for Freshwater Science
Publications 1 - 6 of 6