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Collaborative Knowledge Braiding for Restoration Wuda Ogwa


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Created: Apr 09, 2024 at 8:06 p.m.
Last updated: Apr 24, 2024 at 5:46 p.m. (Metadata update)
Published date: Apr 24, 2024 at 5:46 p.m.
DOI: 10.4211/hs.8aa14e6af1fc4f8e89d325f55c08bcb7
Citation: See how to cite this resource
Content types: Geographic Feature Content 
Sharing Status: Published
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Abstract

The restoration of culturally significant landscapes poses formidable challenges given more than 160 years of settler-colonial land use change and a rapidly changing climate. A novel approach to these challenges entails braiding Indigenous and western scientific knowledge. This case study braids Indigenous plant knowledge, species distribution models, and downscaled climate models to inform restoration of the Bear River Massacre site in Idaho, now stewarded by the Northwestern Band of the Shoshone Nation. MaxEnt species distribution models were used to project the future spatial distribution of culturally significant plant species under medium (SSP2-4.5) and high (SSP5-8.5) emissions scenarios. These results support revegetation priorities and approaches, identified by tradeoffs between each species’ current and future suitability. This research contributes to a knowledge-braiding approach around the analysis of climate risks, vulnerabilities, and restoration possibilities for the Wuda Ogwa ecological restoration site.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Longitude
-111.9189°
Latitude
42.1381°

Content

Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation 1633756

How to Cite

Koutzoukis, S., W. Munger, L. Capito, D. Parry, B. Parry, S. C. Klain, M. W. Brunson, N. Huntly, T. Taylor (2024). Collaborative Knowledge Braiding for Restoration Wuda Ogwa, HydroShare, https://doi.org/10.4211/hs.8aa14e6af1fc4f8e89d325f55c08bcb7

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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