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Type: | Resource | |
Storage: | The size of this resource is 193.1 MB | |
Created: | Apr 19, 2023 at 5:08 p.m. | |
Last updated: | Dec 06, 2023 at 3:05 p.m. (Metadata update) | |
Published date: | Dec 06, 2023 at 3:05 p.m. | |
DOI: | 10.4211/hs.3b1cc0e03cba4497b8d178f8ce52f3e8 | |
Citation: | See how to cite this resource | |
Content types: | Geographic Raster Content |
Sharing Status: | Published |
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Views: | 449 |
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Abstract
This study presents the application of a dendritic network model, specifically Spatial Stream Network Models, for predicting variations in strontium concentrations [Sr] and isotope ratios (87Sr/86Sr) in large river systems. We applied the model to the Taku River, a significant river system located within the accreted volcanic arc terranes of the northern Cordillera of North America. The model strongly fits the observed data with RMSE=0.05: r2=0.67 for [Sr] and RMSE=0.0003: r2=0.87 for 87Sr/86Sr. Our multidisciplinary data product offers a comprehensive tool with applications across the biosphere, hydrosphere, and geosphere. This model can address diverse research questions ranging from assessing the ecology of wild salmon fisheries to calculating Sr ocean budgets and evaluating silicate weathering feedback.
Subject Keywords
Coverage
Spatial
Content
Data Services
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This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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