UPstream Regional LiDAR Model for Extent of Trout (UPRLIMET) model training and prediction data-Reference-Cited by-同舟云学术

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UPstream Regional LiDAR Model for Extent of Trout (UPRLIMET) model training and prediction data

Published: Issue: Volume: Page:
ISSN:
Container-title:Forest Service Research Data Archive
language:
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Author:

Burnett Jonathan D.¹²³^ORCID,Penaluna Brooke E.¹²³^ORCID,Christiansen Kelly¹²³,Arismendi Ivan⁴^ORCID,Johnson Sherri L.¹²³^ORCID,Griswold Kitty⁵,Holycross Brett⁶,Kolstoe Sonja H.¹²³,Hirsch William R.⁴

Affiliation:

1. U.S. Department of Agriculture

2. U.S. Forest Service

3. Pacific Northwest Research Station

4. Oregon State University

5. Idaho State University

6. Pacific States Marine Fisheries Commission

Funder

Pacific Northwest Research Station

Publisher

USDA Forest Service

Reference20 articles.

1. Evaluating Single-Pass Catch as a Tool for Identifying Spatial Pattern in Fish Distribution

2. Bayesian Updating of Structural Models and Reliability using Markov Chain Monte Carlo Simulation

3. Proceedings of the Redwood Region Forest Science Symposium: what does the future hold?

4. A spatially explicit approach for evaluating relationships among coastal cutthroat trout, habitat, and disturbance in small Oregon streams;Gresswell;American Fisheries Society Symposium,2006

5. Oregon Department of Forestry. 2021. Forest Practices administrative Rules and Forest Practices Act. Chapter 629: Forest Practices Administration. In effect January 1, 2021.

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