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Dataset . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Datasets for "Recreational hunting as an ecosystem service of restoration in the Bay-Delta watershed"

Authors: Matzek, Virginia; Lupi, Frank;

Datasets for "Recreational hunting as an ecosystem service of restoration in the Bay-Delta watershed"

Abstract

These are the raw data from two surveys of recreational hunters in northern California conducted from 2019-2021 in association with the Delta Stewardship Council funded project "Recreational hunting as an ecosystem service of restoration in the Bay-Delta watershed" (Agreement #18211). Intercept data were collected in-person at hunt sites during deer, upland gamebird, and waterfowl hunt seasons in 2019-20. Followup survey data were collected online from a subset of the original interceptees as well as No. Cal hunters solicited for participation via social media, snowball sampling, and hunter chatrooms. Headers refer to questionnaires archived in Zenodo at https://doi.org/10.5281/zenodo.5809668.

Funded by Delta Stewardship Council, Agreement #18211.

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Keywords

upland gamebird, hunting, riparian zones, ecological restoration, deer, tidal marsh, recreation, waterfowl, ecosystem services, habitat restoration

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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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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.
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