Species' traits explain differences in Red list status and long-term population trends in longhorn beetles

Animal Conservation

Volumn 17, Issue 4, 2014, Pages 332-341

  Jeppsson, T ^a,b   Forslund, P ^a  

^a SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

^b UNIVERSITY OF OSLO   (Norway)

Author keywords

Comparative study; Conservation biology; Extinction risk; IUCN Red list; Multi model inference; Population trends; Species traits

Indexed keywords

BEETLE; BODY SIZE; COMPARATIVE STUDY; CONSERVATION STATUS; EXTINCTION RISK; GROWTH RATE; LONG-TERM CHANGE; POPULATION DECLINE; POPULATION GROWTH; RED LIST; SPECIES CONSERVATION;

CERAMBYCIDAE; COLEOPTERA;

EID: 84905005107     PISSN: 13679430     EISSN: 14691795     Source Type: Journal    
DOI: 10.1111/acv.12099     Document Type: Article

References (70)

1. Barton, K. (2013). MuMIn: multi-model inference. R package version 1.9.5.
2. Betzholtz, P.-E. & Franzen, M. (2011). Mobility is related to species traits in noctuid moths. Ecol. Entomol. 36, 369-376.
3. Burnham, K.P. & Anderson, D. (2002). Model selection and multi-model inference: a practical information-theoretic approach. New York: Springer.
4. Calcagno, V. (2013). glmulti: model selection and multimodel inference made easy. R package version 1.0.7.
5. Cardillo, M. (2003). Biological determinants of extinction risk: why are smaller species less vulnerable? Anim. Conserv. 6, 63-69.
6. Cardillo, M. & Meijaard, E. (2012). Are comparative studies of extinction risk useful for conservation? Trends Ecol. Evol. 27, 167-171.
7. Cardillo, M., Purvis, A., Sechrest, W., Gittleman, J.L., Bielby, J. & Mace, G.M. (2004). Human population density and extinction risk in the world's carnivores. PLoS Biol. 2, 909-914.
8. Cardillo, M., Mace, G.M., Jones, K.E., Bielby, J., Bininda-Emonds, O.R.P., Sechrest, W., Orme, C.D.L. & Purvis, A. (2005). Multiple causes of high extinction risk in large mammal species. Science 309, 1239-1241.
9. Cardillo, M., Mace, G.M., Gittleman, J.L. & Purvis, A. (2006). Latent extinction risk and the future battlegrounds of mammal conservation. Proc. Natl. Acad. Sci. USA 103, 4157-4161.
10. Cardillo, M., Mace, G.M., Gittleman, J.L., Jones, K.E., Bielby, J. & Purvis, A. (2008). The predictability of extinction: biological and external correlates of decline in mammals. Proc. Roy. Soc. Lond. Ser. B. 275, 1441-1448.
11. Caswell, H. (2001). Matrix population models - construction, analysis, and interpretation. Sunderland: Sinauer Associates.
12. Christensen, R.H.B. (2012). ordinal - regression models for ordinal data. R package version 2012.09-11.
13. Collen, B., Bykova, E., Ling, S., Milner-Gulland, E.J. & Purvis, A. (2006). Extinction risk: a comparative analysis of central Asian vertebrates. Biodivers. Conserv. 15, 1859-1871.
14. Collen, B., McRae, L., Deinet, S., De Palma, A., Carranza, T., Cooper, N., Loh, J. & Baillie, J.E.M. (2011). Predicting how populations decline to extinction. Phil. Trans. R. Soc. B 366, 2577-2586.
15. Danilevsky, M.L. (2009). A check-list of longicorn beetles (Coleoptera, Cerambycoidea) of Europe. http://www.cerambycidae.net/ (accessed 07.12.2009).
16. Davies, K.F., Margules, C.R. & Lawrence, J.F. (2004). A synergistic effect puts rare, specialized species at greater risk of extinction. Ecology 85, 265-271.
17. Dennis, R.L.H., Hodgson, J.G., Grenyer, R., Shreeve, T.G. & Roy, D.B. (2004). Host plants and butterfly biology. Do host-plant strategies drive butterfly status? Ecol. Entomol. 29, 12-26.
18. Dobson, F.S. & Oli, M.K. (2007). Fast and slow life histories of mammals. Ecoscience 14, 292-299.
19. Dulvy, N.K., Metcalfe, J.D., Glanville, J., Pawson, M.G. & Reynolds, J.D. (2000). Fishery stability, local extinctions, and shifts in community structure in skates. Conserv. Biol. 14, 283-293.
20. Ehnström, B. & Holmer, M. (2007). Nationalnyckeln till Sveriges flora och fauna. Skalbaggar: Långhorningar. Coleoptera: Cerambycidae. Uppsala: Artdatabanken, SLU.
21. Ewers, R.M. & Didham, R.K. (2006). Confounding factors in the detection of species responses to habitat fragmentation. Biol. Rev. 81, 117-142.
22. Felsenstein, J. (1985). Phylogenies and the comparative method. Am. Nat. 125, 1-15.
23. Fisher, D.O. & Owens, I.P.F. (2004). The comparative method in conservation biology. Trends Ecol. Evol. 19, 391-398.
24. Forero-Medina, G., Vieira, M.V., Grelle, C.E.V. & Almeida, P.J. (2009). Body size and extinction risk in Brazilian carnivores. Biota Neotrop. 9, 45-49.
25. Fritz, S.A., Bininda-Emonds, O.R. & Purvis, A. (2009). Geographical variation in predictors of mammalian extinction risk: big is bad, but only in the tropics. Ecol. Lett. 12, 538-549.
26. Gärdenfors, U. (2010). Rödlistade arter i Sverige 2010 - The 2010 Red List of Swedish Species. Uppsala: Artdatabanken, SLU.
27. Grafen, A. (1989). The phylogenetic regression. Phil. Trans. R. Soc. B 326, 119-157.
28. Grafen, A. (2006). Phylogenetic regression, Phylo.GLM v 0.7. http://users.ox.ac.uk/~grafen/phylo/index.html.
29. Henle, K., Davies, K.F., Kleyer, M., Margules, C. & Settele, J. (2004). Predictors of species sensitivity to fragmentation. Biodivers. Conserv. 13, 207-251.
30. Isaac, N.J.B. & Cowlishaw, G. (2004). How species respond to multiple extinction threats. Proc. Roy. Soc. Lond. Ser. B. 271, 1135-1141.
31. IUCN (2001). IUCN red list categories and criteria: version 3.1. Gland & Cambridge: IUCN Species Survival Commission.
32. Jennings, S., Reynolds, J.D. & Mills, S.C. (1998). Life history correlates of responses to fisheries exploitation. Proc. Roy. Soc. Lond. Ser. B. 265, 333-339.
33. Jeppsson, T. & Forslund, P. (2012). Can life history predict the effect of demographic stochasticity on extinction risk? Am. Nat. 179, 706-720.
34. Jeppsson, T., Lindhe, A., Gärdenfors, U. & Forslund, P. (2010). The use of historical collections to estimate population trends: a case study using Swedish longhorn beetles (Coleoptera: Cerambycidae). Biol. Conserv. 143, 1940-1950.
35. Koh, L.P., Sodhi, N.S. & Brook, B.W. (2004). Ecological correlates of extinction proneness in tropical butterflies. Conserv. Biol. 18, 1571-1578.
36. Komonen, A. (2007). Are we conserving peripheral populations? An analysis of range structure of longhorn beetles (Coleoptera: Cerambycidae) in Finland. J. Insect Conserv. 11, 281-285.
37. Komonen, A., Grapputo, A., Kaitala, V., Kotiaho, J.S. & Paivinen, J. (2004). The role of niche breadth, resource availability and range position on the life history of butterflies. Oikos 105, 41-54.
38. Kotiaho, J.S., Kaitala, V., Komonen, A. & Paivinen, J. (2005). Predicting the risk of extinction from shared ecological characteristics. Proc. Natl. Acad. Sci. USA 102, 1963-1967.
39. Kotze, D.J. & O'Hara, R.B. (2003). Species decline - but why? Explanations of carabid beetle (Coleoptera, Carabidae) declines in Europe. Oecologia 135, 138-148.
40. Kunin, W.E. (2008). On comparative analyses involving non-heritable traits: why half a loaf is sometimes worse than none. Evol. Ecol. Res. 10, 787-796.
41. Laurance, W.F. (1991). Ecological correlates of extinction proneness in Australian tropical rain-forest mammals. Conserv. Biol. 5, 79-89.
42. Lee, T.M. & Jetz, W. (2011). Unravelling the structure of species extinction risk for predictive conservation science. Proc. Roy. Soc. Lond. Ser. B. 278, 1329-1338.
43. Lindhe, A., Jeppsson, T. & Ehnström, B. (2010). Longhorn beetles in Sweden - changes in distribution and abundance over the last two hundred years. Entomol. Tidskr. 131, 241-510.
44. Mace, G.M., Collar, N.J., Gaston, K.J., Hilton-Taylor, C., Akcakaya, H.R., Leader-Williams, N., Milner-Gulland, E.J. & Stuart, S.N. (2008). Quantification of extinction risk: IUCN's system for classifying threatened species. Conserv. Biol. 22, 1424-1442.
45. Mattila, N., Kaitala, V., Komonen, A., Kotiaho, J.S. & Paivinen, J. (2006). Ecological determinants of distribution decline and risk of extinction in moths. Conserv. Biol. 20, 1161-1168.
46. Mattila, N., Kotiaho, J.S., Kaitala, V. & Komonen, A. (2008). The use of ecological traits in extinction risk assessments: a case study on geometrid moths. Biol. Conserv. 141, 2322-2328.
47. Mattila, N., Kotiaho, J.S., Kaitala, V., Komonen, A. & PäIvinen, J. (2009). Interactions between ecological traits and host plant type explain distribution change in noctuid moths. Conserv. Biol. 23, 703-709.
48. Mattila, N., Kaitala, V., Komonen, A., Paivinen, J. & Kotiaho, J.S. (2011). Ecological correlates of distribution change and range shift in butterflies. Insect Conserv. Divers. 4, 239-246.
49. McKinney, M.L. (1997). Extinction vulnerability and selectivity: combining ecological and paleontological views. Annu. Rev. Ecol. Syst. 28, 495-516.
50. Munday, P.L. (2004). Habitat loss, resource specialization, and extinction on coral reefs. Glob. Change Biol. 10, 1642-1647.
51. Murray, K.A., Rosauer, D., McCallum, H. & Skerratt, L.F. (2011). Integrating species traits with extrinsic threats: closing the gap between predicting and preventing species declines. Proc. Roy. Soc. Lond. Ser. B. 278, 1515-1523.
52. Nagelkerke, N.J.D. (1991). A note on a general definition of the coefficient of determination. Biometrika 78, 691-692.
53. Nylin, S. & Bergström, A. (2009). Threat status in butterflies and its ecological correlates: how far can we generalize? Biodivers. Conserv. 18, 3243-3267.
54. Owens, I.P.F. & Bennett, P.M. (2000). Ecological basis of extinction risk in birds: habitat loss versus human persecution and introduced predators. Proc. Natl. Acad. Sci. USA 97, 12144-12148.
55. Pimm, S.L., Jones, H.L. & Diamond, J. (1988). On the risk of extinction. Am. Nat. 132, 757-785.
56. Purvis, A., Agapow, P.M., Gittleman, J.L. & Mace, G.M. (2000a). Nonrandom extinction and the loss of evolutionary history. Science 288, 328-330.
57. Purvis, A., Gittleman, J.L., Cowlishaw, G. & Mace, G.M. (2000b). Predicting extinction risk in declining species. Proc. Roy. Soc. Lond. Ser. B. 267, 1947-1952.
58. Purvis, A., Jones, K.E. & Mace, G.M. (2000c). Extinction. Bioessays 22, 1123-1133.
59. R Core Team (2013). R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
60. Revell, L.J. (2010). Phylogenetic signal and linear regression on species data. Methods Ecol. Evol. 1, 319-329.
61. Revell, L.J. (2012). phytools: an R package for phylogenetic comparative biology (and other things). Methods Ecol. Evol. 3, 217-223.
62. Reynolds, J. (2003). Life histories and extinction risk. In Macroecology: concepts and consequences: 195-217. Blackburn, T. & Gaston, K. (Eds). Oxford: Blackwell Publishing.
63. Reynolds, J.D., Dulvy, N.K., Goodwin, N.B. & Hutchings, J.A. (2005). Biology of extinction risk in marine fishes. Proc. Roy. Soc. Lond. Ser. B. 272, 2337-2344.
64. SAS Institute (2011). SAS 9.3. SAS Institute Inc., Cary, NC.
65. Sæther, B.E. & Engen, S. (2002). Pattern of variation in avian population growth rates. Phil. Trans. R. Soc. B 357, 1185-1195.
66. Schielzeth, H. (2010). Simple means to improve the interpretability of regression coefficients. Methods Ecol. Evol. 1, 103-113.
67. Siitonen, J. (2001). Forest management, coarse woody debris and saproxylic organisms: Fennoscandian boreal forests as an example. Ecol. Bull. 49, 11-41.
68. Snäll, T., Forslund, P., Jeppsson, T., Lindhe, A. & O'Hara, R.B. (2013). Evaluating temporal variation in Citizen Science Data against temporal variation in the environment. Ecography. Early view online. DOI: 10.1111/j.1600-0587.2011.00544.x.
69. Stokes, M., Davies, C. & Koch, G. (2000). Categorical data analysis using the SAS system. Cary: SAS Institute Inc.
70. Sullivan, M.S., Gilbert, F., Rotheray, G., Croasdale, S. & Jones, M. (2000). Comparative analyses of correlates of Red data book status: a case study using European hoverflies (Diptera: Syrphidae). Anim. Conserv. 3, 91-95.