Will rock glaciers buffer alpine streams against climate change?

Abstract ID: 3.11656 | Accepted as Talk | Talk/Oral | TBA | TBA

Scott Hotaling (0)
McGrath, Dan (1), Khatiwada, Ashlesha (1), Gianniny, Gordon, Pomeranz, Justin (2), Caskey, Simeon (3), Finn, Debra (4), Tronstad, Lusha (5)
Scott Hotaling ((0) Utah State University, 5210 Old Main Hill, 84322-5210, Logan, UT, US)
McGrath, Dan (1), Khatiwada, Ashlesha (1), Gianniny, Gordon, Pomeranz, Justin (2), Caskey, Simeon (3), Finn, Debra (4), Tronstad, Lusha (5)

(0) Utah State University, 5210 Old Main Hill, 84322-5210, Logan, UT, US
(1) Department of Geosciences, Colorado State University, CO, US
(2) Department of Environmental Sciences, Colorado Mesa University, CO, US
(3) Physical Science Branch, Grand Teton National Park, US
(4) Department of Biology, Missouri State University, MO, US
(5) Wyoming Natural Diversity Database, University of Wyoming, WY, US

(1) Department of Geosciences, Colorado State University, CO, US
(2) Department of Environmental Sciences, Colorado Mesa University, CO, US
(3) Physical Science Branch, Grand Teton National Park, US
(4) Department of Biology, Missouri State University, MO, US
(5) Wyoming Natural Diversity Database, University of Wyoming, WY, US

Categories: Adaptation, Cryo- & Hydrosphere, Monitoring, Water Resources
Keywords: rock glaciers, resilience, stream temperature, remote sensing, climate change

Categories: Adaptation, Cryo- & Hydrosphere, Monitoring, Water Resources
Keywords: rock glaciers, resilience, stream temperature, remote sensing, climate change

Climate change is dramatically impacting mountain ecosystems around the world. Perhaps the most visceral of these impacts is the ongoing recession of glaciers and perennial snowfields. However, surface glaciers and snowfields are not the only perennial ice features in mountain landscapes. Many forms of subsurface ice (e.g., rock glaciers) are also present and play an important, albeit understudied, role in water availability and aquatic ecosystem integrity in mountain systems. Theory predicts that surface ice features that are exposed to ambient conditions will recede faster than subsurface ice that is insulated by debris cover. A limited amount of evidence supports this expectation. Since 2015, we have been monitoring high-alpine streams in the Teton Range, USA fed by three different sources—surface glaciers, rock glaciers, and seasonal snowpack—to understand the fate of aquatic ecosystems amidst climate change and how different sources may yield differing rates of change. In 2014 and 2022, LiDAR data was also generated for the Teton Range. By pairing our 10+ years of aquatic monitoring data with physical change inferred from LiDAR, we were able to gain rare insight into the links between physical change to ice sources and downstream ecosystems. Specifically, we found that rock glaciers in the Teton Range have been resistant to climate-induced ice loss while surface ice features have seen dramatic declines. However, these physical changes have not been mirrored in nearby streams. For instance, streams fed by seasonal snowpack and small perennial ice features have warmed rapidly during the summer while streams fed by surface glaciers and rock glaciers have remained largely unchanged.

N/A
NAME:
TBA
BUILDING:
TBA
FLOOR:
TBA
TYPE:
TBA
CAPACITY:
TBA
ACCESS:
TBA
ADDITIONAL:
TBA
FIND ME:
>> Google Maps

Limits: min. 3 words, max. 30 words or 200 characters

Choose the session you want to submit an abstract. Please be assured that similar sessions will either be scheduled consecutively or merged once the abstract submission phase is completed.

Select your preferred presentation mode
Please visit the session format page to get a detailed view on the presentation timings
The final decision on oral/poster is made by the (Co-)Conveners and will be communicated via your My#IMC dashboard

Please add here your abstract meeting the following requirements:
NO REFERNCES/KEYWORDS/ACKNOWEDGEMENTS IN AN ABSTRACT!
Limits: min 100 words, max 350 words or 2500 characters incl. tabs
Criteria: use only UTF-8 HTML character set, no equations/special characters/coding
Copy/Paste from an external editor is possible but check/reformat your text before submitting (e.g. bullet points, returns, aso)

Add here affiliations (max. 30) for you and your co-author(s). Use the row number to assign the affiliation to you and your co-author(s).
When you hover over the row number you are able to change the order of the affiliation list.

1
2
3
4
5
1

Add here co-author(s) (max. 30) to your abstract. Please assign the affiliation(s) of each co-author in the "Assigned Aff. No" by using the corresponding numbers from the "Affiliation List" (e.g.: 1,2,...)
When you hover over the row number you are able to change the order of the co-author list.

1
2
3
4
5
6
7
1
1
2
3
4
5
1
Close