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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Beaver Intrinsic Potential (BIP) Model for Scott Watershed, CA

Authors: Rose, Deborah;

Beaver Intrinsic Potential (BIP) Model for Scott Watershed, CA

Abstract

There are several models in circulation for calculating the potential of an area to support beaver or beaver dams, but this project uses a beaver intrinsic potential model based on the methods developed by Dittbrenner et al. (2018). This model is not intended to replace existing models, but rather to explore some of the same questions while using only remotely sensed landscape characteristics. The factors included in this model are stream gradient, bankfull width, and valley width. The results of this analysis show a ranking of beaver habitat suitability based on the intrinsic potential of the land features to facilitate dam construction.

{"references": ["Dittbrenner, B., Pollock, M., Schilling, J., Olden, J., Lawler, J., Torgersen, C. (2018). Modeling intrinsic potential for beaver (Castor canadensis) habitat to inform restoration and climate change adaptation. PloS one, 13(2), e0192538."]}

For a copy of the report that accompanies this dataset, please contact the author at deborah8@uw.edu.

Related Organizations
Keywords

Scott Watershed, beaver dam analogues, beaver habitat, intrinsic potential, habitat restoration

  • BIP!
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
38
10