2023 Early Hearing Detection & Intervention Conference
March 5-7, 2023 • Cincinnati, OH
5/23/2018 | 9:15 AM - 9:30 AM | ALPINE STREAMS FED BY SUBTERRANEAN ICE AS POTENTIAL CLIMATE REFUGIA FOR TEMPERATURE-SENSITIVE TAXA | 410 A
ALPINE STREAMS FED BY SUBTERRANEAN ICE AS POTENTIAL CLIMATE REFUGIA FOR TEMPERATURE-SENSITIVE TAXA
Managing landscapes for climate refugia is likely the best strategy to promote persistence of temperature-sensitive taxa with limited dispersal capacity. Mountain stream networks represent habitat mosaics due largely to hydrological source heterogeneity including various sources of meltwater inhabited by vulnerable cold-stenothermic taxa. We collected environmental and biological data from Tetons (Wyoming) alpine streams representing runoff from snowpack (N=3), glaciers (N=4), and subterranean ice (N=4). We asked: 1) Are streams environmentally distinguishable according to streambed stability, suspended solids, temperature regime, and conductivity? 2) Are macroinvertebrate, diatom, and microbial assemblages predictably different according to hydrological source? 3) Is water temperature colder and/or more stable in streams representing a specific source? All answers appear to be “yes”. Streams fed by subterranean ice (“icy seeps”) maintain extremely low (mean <2°C), temporally stable water temperature. Vulnerable cold-stenothermic stonefly species were significant indicators for, although not exclusive to, icy seeps. Assemblages of both prokaryotes and diatoms were also distinct in icy seeps, including 4 indicator bacterial families and at least 2 diatom taxa. We argue that icy seeps and their sources, heretofore neglected in stream ecological studies, should be managed as climate refugia.
- Invertebrate
- Hydrology
- Diatom
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Presenters/Authors
Debra Finn
(), Missouri State University, dfinn@missouristate.edu;
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Lusha Tronstad
(), University of Wyoming, Wyoming Natural Diversity Database, tronstad@uwyo.edu;
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Scott Hotaling
(), Washington State University, scott.hotaling@uky.edu;
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J. Joseph Giersch
(), USGS Northern Rocky Mountain Science Center, jgiersch@usgs.gov;
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Rebecca Bixby
(), University of New Mexico, bbixby@unm.edu;
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Lydia Zeglin
(), Kansas State University, lzeglin@ksu.edu;
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