Design for ground beetle abundance and diversity sampling within the National Ecological Observatory Network

David Hoekman; Katherine E. Levan; George E. Ball; Robert A. Browne; Robert L. Davidson; Terry L. Erwin; C. Barry Knisley; James R. Labonte; Jonathan Lundgren; David R. Maddison; Wendy Moore; Jari Niemela; Karen A. Ober; David L. Pearson; John R. Spence; Kipling Will; Timothy Work

doi:10.1002/ecs2.1744

Design for ground beetle abundance and diversity sampling within the National Ecological Observatory Network

David Hoekman, Katherine E. Levan, George E. Ball, Robert A. Browne, Robert L. Davidson, Terry L. Erwin, C. Barry Knisley, James R. Labonte, Jonathan Lundgren, David R. Maddison, Wendy Moore, Jari Niemela, Karen A. Ober, David L. Pearson, John R. Spence, Kipling Will, Timothy Work

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37 Scopus citations

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.

Original language	English (US)
Article number	01744
Journal	Ecosphere
Volume	8
Issue number	4
DOIs	https://doi.org/10.1002/ecs2.1744
State	Published - Apr 2017

Keywords

Abundance
Carabidae
Climate
Diversity
Global change
Ground beetles
Long-term monitoring
Special feature: neon design

ASJC Scopus subject areas

Ecology, Evolution, Behavior and Systematics
Ecology

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10.1002/ecs2.1744

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Hoekman, D., Levan, K. E., Ball, G. E., Browne, R. A., Davidson, R. L., Erwin, T. L., Knisley, C. B., Labonte, J. R., Lundgren, J., Maddison, D. R., Moore, W., Niemela, J., Ober, K. A., Pearson, D. L., Spence, J. R., Will, K., & Work, T. (2017). Design for ground beetle abundance and diversity sampling within the National Ecological Observatory Network. Ecosphere, 8(4), Article 01744. https://doi.org/10.1002/ecs2.1744

Hoekman, D, Levan, KE, Ball, GE, Browne, RA, Davidson, RL, Erwin, TL, Knisley, CB, Labonte, JR, Lundgren, J, Maddison, DR, Moore, W, Niemela, J, Ober, KA, Pearson, DL, Spence, JR, Will, K & Work, T 2017, 'Design for ground beetle abundance and diversity sampling within the National Ecological Observatory Network', Ecosphere, vol. 8, no. 4, 01744. https://doi.org/10.1002/ecs2.1744

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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.",

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year = "2017",

month = apr,

doi = "10.1002/ecs2.1744",

language = "English (US)",

volume = "8",

journal = "Ecosphere",

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AU - Davidson, Robert L.

AU - Erwin, Terry L.

AU - Knisley, C. Barry

AU - Labonte, James R.

AU - Lundgren, Jonathan

AU - Maddison, David R.

AU - Moore, Wendy

AU - Niemela, Jari

AU - Ober, Karen A.

AU - Pearson, David L.

AU - Spence, John R.

AU - Will, Kipling

AU - Work, Timothy

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KW - Carabidae

KW - Climate

KW - Diversity

KW - Global change

KW - Ground beetles

KW - Long-term monitoring

KW - Special feature: neon design

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Design for ground beetle abundance and diversity sampling within the National Ecological Observatory Network

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