Design for ground beetle abundance and diversity sampling within the National Ecological Observatory Network
Name:
Hoekman_et_al-2017-Ecosphere.pdf
Size:
3.126Mb
Format:
PDF
Description:
FInal Published Version
Author
Hoekman, DavidLeVan, Katherine E.
Ball, George E.
Browne, Robert A.
Davidson, Robert L.
Erwin, Terry L.
Knisley, C. Barry
LaBonte, James R.
Lundgren, Jonathan
Maddison, David R.
Moore, Wendy
Niemelae, Jari
Ober, Karen A.
Pearson, David L.
Spence, John R.
Will, Kipling
Work, Timothy
Affiliation
Univ Arizona, Dept EntomolIssue Date
2017-04Keywords
abundanceCarabidae
climate
diversity
global change
ground beetles
long-term monitoring
Special Feature: NEON Design
Metadata
Show full item recordPublisher
WILEYCitation
Design for ground beetle abundance and diversity sampling within the National Ecological Observatory Network 2017, 8 (4):e01744 EcosphereJournal
EcosphereRights
© 2017 Hoekman et al. This is an open access article under the terms of the Creative Commons Attribution License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
The National Ecological Observatory Network (NEON) will monitor ground beetle populations across a network of broadly distributed sites because beetles are prevalent in food webs, are sensitive to abiotic factors, and have an established role as indicator species of habitat and climatic shifts. We describe the design of ground beetle population sampling in the context of NEON's long-term, continentalscale monitoring program, emphasizing the sampling design, priorities, and collection methods. Freely available NEON ground beetle data and associated field and laboratory samples will increase scientific understanding of how biological communities are responding to land-use and climate change.Note
open access journalISSN
21508925Version
Final published versionSponsors
National Science Foundation; NEON Inc.; National Science Foundation [EF-1029808]Additional Links
http://doi.wiley.com/10.1002/ecs2.1744ae974a485f413a2113503eed53cd6c53
10.1002/ecs2.1744
Scopus Count
Collections
Except where otherwise noted, this item's license is described as © 2017 Hoekman et al. This is an open access article under the terms of the Creative Commons Attribution License.

