Influence of field margins and landscape context on ground beetle diversity in Wisconsin (USA) potato fields

Agriculture, Ecosystems and Environment

Volumn 128, Issue 1-2, 2008, Pages 104-108

  Werling, Ben P ^a   Gratton, Claudio ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

Biodiversity; Field margin; Landscape ecology; Potatoes

Indexed keywords

BEETLE; BIODIVERSITY; COMMUNITY COMPOSITION; COMMUNITY STRUCTURE; CROP; DISTURBANCE; FIELD MARGIN; LANDSCAPE; LANDSCAPE ECOLOGY; POTATO; SPECIES DIVERSITY;

NORTH AMERICA; UNITED STATES; WISCONSIN;

CARABIDAE; COLEOPTERA; SOLANUM TUBEROSUM;

EID: 46749094973     PISSN: 01678809     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agee.2008.05.007     Document Type: Article

References (24)

1. Bianchi F., Booij C.J.H., and Tscharntke T. Sustainable pest regulation in agricultural landscapes: a review on landscape composition, biodiversity and natural pest control. Proceedings of the Royal Society B-Biological Sciences 273 (2006) 1715-1727
2. Binning, L., Stevenson, W.R., Wyman, J.A., 2000. Crop profile for potatoes in Wisconsin, USDA Office of Pest Management Policy, Washington, D.C. www.ipmcenters.org.
3. Chao A., Chazdon R.L., Colwell R.K., and Shen T.J. A new statistical approach for assessing similarity of species composition with incidence and abundance data. Ecology Letters 8 (2005) 148-159
4. Culin J.D., and Yeargan K.V. Comparative study of spider communities in alfalfa and soybean ecosystems-foliage-dwelling spiders. Annals of the Entomological Society of America 76 (1983) 825-831
5. ESRI, 2005. ArcGIS. ESRI, Redlands, CA.
6. Goslee, S., Urban, D, 2008. Ecodist: dissimilarity-based functions for ecological analysis. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org.
7. Gotelli N.J., and Colwell R.K. Quantifying biodiversity: procedures and pitfalls in the measurement and comparison of species richness. Ecology Letters 4 (2001) 379-391
8. Gotelli, N.J., Entsminger, G.L., 2006. EcoSim: null models software for ecology. http://garyentsminger.com/ecosim.htm.
9. Hickman J.M., and Wratten S.D. Use of Phacelia tanacetifolia strips to enhance biological control of aphids by hoverfly larvae in cereal fields. Journal of Economic Entomology 89 (1996) 832-840
10. Homer C., Huang C.Q., Yang L.M., Wylie B., and Coan M. Development of a 2001 National Land-Cover Database for the United States. Photogrammetric Engineering and Remote Sensing 70 (2004) 829-840
11. Landis D.A., Wratten S.D., and Gurr G.M. Habitat management to conserve natural enemies of arthropod pests in agriculture. Annual Review of Entomology 45 (2000) 175-201
12. Larochelle A., and Lariviere M.C. A Natural History of the Ground-Beetles (Coleoptera: Carabidae) of America North of Mexico (2003), Pensoft Publishers, Sofia, Bulgaria
13. Legendre P., Galzin R., and HarmelinVivien M.L. Relating behavior to habitat: solutions to the fourth-corner problem. Ecology 78 (1997) 547-562
14. Lindroth, C.H., 1961, 1963, 1966, 1968, 1969. The ground-beetles (Carabidae, excl. Cicindelinae) of Canada and Alaska. Opuscula Entomologica Supplementum 20, 24, 29, 33, 34.
15. Oksanen, J., Kindt, R., Legendre, P., O'Hara, B., Simpson, G.L., Henry, M., Stevens, H., 2008. Vegan: Community ecology package. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org.
16. Price P.W. Insect Ecology (1997), John Wiley and Sons, Inc.
17. SAS Institute, 2002. JMP 5. SAS Institute, Inc., Cary, NC.
18. Smouse P.E., Long J.C., and Sokal R.R. Multiple regression and correlation extensions of the mantel test of matrix correspondence. Systematic Zoology 35 (1986) 627-632
19. Tscharntke T., Klein A.M., Kruess A., Steffan-Dewenter I., and Thies C. Landscape perspectives on agricultural intensification and biodiversity-ecosystem service management. Ecology Letters 8 (2005) 857-874
20. Tscharntke T., Bommarco R., Clough Y., Crist T.O., Kleijn D., Rand T.A., Tylianakis J., van Nouhuys S., and Vidal S. Conservation biological control and enemy diversity on a landscape scale. Biological Control 43 (2007) 294-309
21. USDA (United States Department of Agriculture), 2005. National Agricultural Imagery Program: Adams, Marquette, Portage and Waushara Co. air photos. USDA-FSA Aerial Photography Field Office, Salt Lake City, UT.
22. Venables, W.N., et al. 2006. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org.
23. Wissinger S.A. Cyclic colonization in predictably ephemeral habitats: a template for biological control in annual crop systems. Biological Control 10 (1997) 4-15
24. Wright S.P. Adjusted P-values for simultaneous inference. Biometrics 48 (1992) 1005-1013