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Forest habitats and plant communities strongly predicts Megachilidae bee biodiversity.

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Title: Forest habitats and plant communities strongly predicts Megachilidae bee biodiversity.
Authors: McCabe LM; USDA-ARS Pollinating Insects Research Unit, Logan, Utah, United States.; Department of Biological Science, Northern Arizona University, Flagstaff, Arizona, United States., Chesshire P; Department of Biological Science, Northern Arizona University, Flagstaff, Arizona, United States., Cobb NS; Biodiversity Outreach Network, Flagstaff, AZ, United States.
Source: PeerJ [PeerJ] 2023 Oct 26; Vol. 11, pp. e16145. Date of Electronic Publication: 2023 Oct 26 (Print Publication: 2023).
Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: PeerJ Inc Country of Publication: United States NLM ID: 101603425 Publication Model: eCollection Cited Medium: Internet ISSN: 2167-8359 (Electronic) Linking ISSN: 21678359 NLM ISO Abbreviation: PeerJ Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 37904844
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Forest habitats and plant communities strongly predicts Megachilidae bee biodiversity.
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  Data: <searchLink fieldCode="AU" term="%22McCabe+LM%22">McCabe LM</searchLink>; USDA-ARS Pollinating Insects Research Unit, Logan, Utah, United States.; Department of Biological Science, Northern Arizona University, Flagstaff, Arizona, United States.<br /><searchLink fieldCode="AU" term="%22Chesshire+P%22">Chesshire P</searchLink>; Department of Biological Science, Northern Arizona University, Flagstaff, Arizona, United States.<br /><searchLink fieldCode="AU" term="%22Cobb+NS%22">Cobb NS</searchLink>; Biodiversity Outreach Network, Flagstaff, AZ, United States.
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  Data: <searchLink fieldCode="JN" term="%22101603425%22">PeerJ</searchLink> [PeerJ] 2023 Oct 26; Vol. 11, pp. e16145. <i>Date of Electronic Publication: </i>2023 Oct 26 (<i>Print Publication: </i>2023).
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  Data: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22PeerJ+Inc%22">PeerJ Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101603425 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2167-8359 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2221678359%22">21678359 </searchLink><i>NLM ISO Abbreviation: </i>PeerJ <i>Subsets: </i>MEDLINE
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        Value: 10.7717/peerj.16145
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      – Code: eng
        Text: English
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        StartPage: e16145
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      – TitleFull: Forest habitats and plant communities strongly predicts Megachilidae bee biodiversity.
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            NameFull: McCabe LM
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            – D: 26
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              Text: 2023 Oct 26
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              Y: 2023
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