Modelling range shifts and assessing genetic diversity distribution of the montane aquatic mayfly Ameletus inopinatus in Europe under climate change scenarios

Conservation Genetics

Volumn 12, Issue 2, 2011, Pages 503-515

  Taubmann, Julia ^a,b   Theissinger, Kathrin ^a,b   Feldheim, Kevin A ^c   Laube, Irina ^a,d   Graf, Wolfram ^e   Haase, Peter ^b   Johannesen, Jes ^a   Pauls, Steffen U ^d,f  

^a JOHANNES GUTENBERG UNIVERSITY   (Germany)

^b Department of Limnology and Conservation Senckenberg ^*  (Germany)

^c FIELD MUSEUM OF NATURAL HISTORY   (United States)

^d BIODIVERSITY AND CLIMATE RESEARCH CENTRE BIK F   (Germany)

^e Institute of Hydrobiology and Aquatic Ecosystem Management   (Austria)

^f UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Aquatic insects; Conservation; Microsatellites; Population genetics; Species distribution modelling; Wahlund effect

Indexed keywords

CLIMATE CHANGE; ENDANGERED SPECIES; GENETIC DIFFERENTIATION; GENETIC MARKER; GENETIC STRUCTURE; MAYFLY; MOUNTAIN REGION; STREAM; UPLAND REGION;

ALPS; CENTRAL EUROPE; EASTERN ALPS;

AMELETUS INOPINATUS; EPHEMEROPTERA; HEXAPODA;

EID: 79952699660     PISSN: 15660621     EISSN: 15729737     Source Type: Journal    
DOI: 10.1007/s10592-010-0157-x     Document Type: Article

References (66)

1. Alcamo J, Bouwman A, Edmonds J, Grübler A, Morita T, Sugandhy A (1995) An evaluation of the IPCC IS92 emission scenarios. In: Climate change 1994, radiative forcing of climate change and an evaluation of the IPCC IS92 emission scenarios. Cambridge University Press, Cambridge, pp 233-304.
2. Alsos IG, Alm T, Normand S et al (2009) Past and future range shifts and loss of diversity in dwarf willow (Salix herbacea L.) inferred from genetics, fossils and modelling. Glob Ecol Biogeogr 18: 223-239.
3. Araújo MB, New M (2006) Ensemble forecasting of species distributions. Trends Ecol Evol 22: 42-47.
4. Beebee TJC (2007) Population structure and its implications for conservation of the great silver beetle Hydrophilus piceus in Britain. Freshw Biol 52: 2101-2111.
5. Böhmer J, Rawer-Jost C, Zenker A (2004) Multimetric assessment of data provided by water managers from Germany: assessment of several different types of stressors with macrozoobenthos communities. Hydrobiologia 516: 215-228.
6. Bonin A, Bellemain E, Bronken Eidesen P, Pompanon F, Brochmann C, Taberlet P (2004) How to track and assess genotyping errors in population genetic studies. Mol Ecol 13: 3261-3273.
7. Buffagni A, Cazzola M, López-Rodríguez MJ, Alba-Tercedor J, Armanini DG (2009) In: Schmidt-Kloiber A, Hering D (eds) Distribution and ecological preferences of European freshwater organisms. Volume 3-Ephemeroptera. Pensoft Publishers, Sofia, pp 1-254.
8. Bunn SE, Hughes JM (1997) Dispersal and recruitment in streams: evidence from genetic studies. J N Am Benthol Soc 16: 338-346.
9. Chakraborty R, De Andrade M, Daiger SP, Budowle B (1992) Apparent heterozygote deficiencies observed in DNA typing data and their implications in forensic applications. Ann Hum Genet 56: 45-57.
10. Cordellier M, Pfenninger M (2008) Climate driven range dynamics of the freshwater limpet, Ancylus fluviatilis (Pulmonata, Basommatophora). J Biogeogr 35: 1580-1592.
11. Crandall KA, Bininda-Emonds ORP, Mace GM, Wayne RK (2000) Considering evolutionary processes in conservation biology. Trends Ecol Evol 15: 290-295.
12. Daking EE, Avise JC (2004) Microsatellite null alleles in parentage analysis. Heredity 93: 504-509.
13. Duelli P (1997) Biodiversity evaluation in agricultural landscapes: an approach at two different scales. Agric Ecosyst Environ 62: 81-91.
14. EU Commission (2010). http://ec. europa. eu/environment/nature/index_en. htm. Accessed 18 March 2010.
15. European Environment Agency (2010) http://www. eea. europa. eu/de. Accessed 18 March 2010.
16. Excoffier L, Smouse PE, Quattro JM (1992) Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial-DNA restriction data. Genetics 131: 479-491.
17. Excoffier L, Laval G, Schneider S (2005) Arlequin version 3. 11: an integrated software package for population genetics data analysis. Evol Bioinform Online 1: 47-50.
18. Felsenstein J (2008) PHYLIP (Phylogeny inference package) version 3.68. Available at http://evolution. genetics. washington. edu/phylip/software. html. Distributed by the author. Department of Genome Sciences, University of Washington, Seattle.
19. Fiedler PL, Jain SK (1992) Conservation biology: the theory and practice of nature conservation, preservation and management. Chapman and Hall, New York.
20. Frankham R, Ballou JD, Briscoe DA (2002) Introduction to conservation genetics. Cambridge University Press, Cambridge.
21. Freeland JR (2005) Molecular ecology. Wiley, Hoboken.
22. GBIF-Sweden (2010) GBIF data portal. http://data. gbif. org. Accessed 18 March 2010.
23. Gienapp P, Teplitsky C, Alho JS, Mills JA, Merilä J (2008) Climate change and evolution: disentangling environmental and genetic responses. Mol Ecol 17: 167-178.
24. Glaubitz JC (2004) CONVERT: a user friendly program to reformat diploid genotypic data for commonly used population genetic software packages. Mol Ecol Notes 4: 309-310.
25. Graf W, Schultz H, Janececk B (2004) Ökofaunistische Erhebungen und Bewertung im Natura 2000-Gebiet St. Lorenzener Hochmoor, Makrozoobenthos Endbericht.
26. Graham CH, Ferrier S, Huettman F, Moritz C, Townsend Peterson A (2004) New developments in museum-based informatics and applications in biodiversity analysis. Trends Ecol Evol 19: 497-503.
27. Guillot G, Mortier F, Estoup A (2005) GENELAND: a computer package for landscape genetics. Mol Ecol Notes 5: 712-715.
28. Harte J, Ostling A, Green JL, Kinzig A (2004) Climate change and extinction risk. Nature. doi: 10. 1038/nature02718.
29. Haybach A (2003) Zoogeographische Aspekte der Eintagsfliegenbesiedlung Deutschlands (Insecta, Ephemeroptera). Verhandlungen der westdeutschen Entomologentagung Düsseldorf 2002: 187-209.
30. Hendrey GR, Wright RF (1976) Acid precipitation in Norway: effects on aquatic fauna. J Gt Lakes Res 2: 192-207.
31. Hering D, Schmidt-Kloiber A, Murphy J, Lücke S, Zamora-Muñoz C, López Rodríguez MJ, Huber T, Graf W (2009) Potential impact of climate change on aquatic insects: a sensitivity analysis for European caddisflies (Trichoptera) based on distribution patterns and ecological preferences. Aquat Sci 71: 3-14.
32. Hewitt GM (1996) Some genetic consequences of ice ages, and their role in divergence and speciation. Biol J Linn Soc 58: 247-276.
33. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25: 1965-1978.
34. Hoelzel E (1967) Die Fauna des Hochmoores von St. Lorenzen in den Gurker Alpen. Carinthia 195-211.
35. Hoffmann AA, Willi Y (2008) Detecting genetic responses to environmental change. Nat Rev Genet 9: 421-432.
36. Houghton J (2001) The science of global warming. Interdiscip Sci Rev 26: 247-257.
37. Hughes AR, Inouye BD, Johnson MTJ, Underwood N, Vellend M (2008) Ecological consequences of genetic diversity. Ecol Lett 11: 609-623.
38. Ihaka R, Gentleman R (1996) R: a language for data analysis and graphics. J Comp Graph Stat 5: 299-314.
39. Jackson JK, Resh VH (1992) Variation in genetic structure among populations of the caddisfly Helicopsyche borealis from three streams in northern California, U. S. A. Freshw Biol 27: 29-42.
40. Kalinowski ST (2004) Counting alleles with rarefaction: private alleles and hierarchical sampling designs. Conserv Genet 5: 539-543.
41. Leberg PL (2002) Estimating allelic richness: effects of sample size and bottlenecks. Mol Ecol 11: 2445-2449.
42. Malzacher P, Jacob U, Haybach A, Reusch H (1998) Rote Liste der Eintagsfliegen (Ephemeroptera). In: Binot M, Bless R, Boye P, Gruttke H, Pretscher P (eds) Rote Liste gefährdeter Tiere Deutschlands, Bundesamt für Naturschutz (BfN). Bonn-Bad Godesberg, Germany, pp 264-267.
43. McNeely JA, Miller KR, Reid WV, Mittermeier RA, Werner TB (1990) Conserving the world's biological diversity. World Conservation Union, World Resources Institute, Conservation International, World Wildlife Fund-US, and the World Bank, Washington, DC.
44. Moussalli A, Moritz C, Williams SE, Carnaval AC (2009) Variable responses of skinks to a common history of rainforest fluctuation: concordance between phylogeography and palaeo-distribution models. Mol Ecol 18: 483-499.
45. Nei M, Tajima F, Tateno Y (1983) Accuracy of estimated phylogenetic trees from molecular data. J Mol Evol 19: 153-170.
46. OTA (US Congress Office of Technology Assessment) (1987) Technologies to maintain biological diversity. US Government Printing Office, Washington, DC.
47. Parmesan C, Yohe G (2003) A globally coherent fingerprint of climate change impacts across natural systems. Nature 421: 37-42.
48. Pauls SU, Lumbsch T, Haase P (2006) Phylogeography of the montane caddisfly Drusus discolor: evidence for multiple refugia and periglacial survival. Mol Ecol 15: 2153-2169.
49. Petit RJ, El Mousadik A, Pons O (1998) Identifying populations for conservation on the basis of genetic markers. Conserv Biol 12: 844-855.
50. Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecol Model 190: 231-259.
51. Raymond M, Rousset F (1995) GENEPOP (version 1. 2) population genetics software for exact tests and ecumenicism. J Hered 86: 248-249.
52. Reed DH, Frankham R (2003) Correlation between fitness and genetic diversity. Conserv Biol 17: 230-237.
53. Rice WR (1989) Analyzing tables of statistical tests. Evolution 43: 223-225.
54. Rosenberg DM, Resh VH (1993) Freshwater biomonitoring and benthic invertebrates. Chapman & Hall, New York.
55. Russev B, Vidinova Y (1994) Distribution and ecology of the representatives of some families of order Ephemeroptera (Insecta) in Bulgaria. Lauterbornia 19: 107-113.
56. SAS Institute Inc. (2007) JMP user guide. SAS Institute Inc, Cary.
57. Schultz H, Janecek B, Hess M, Reusch H, Graf W (2004) Das Makrozoobenthos des Natura 2000 Gebietes St. Lorenzener Hochmoor (Andertal, Kernten) unter besonderer Berücksichtigung der Libellenfauna (Insecta: Odonata). Carinthia II 196: 343-358.
58. Slatkin M (1995) A measure of population subdivision based on microsatellite allele frequencies. Genetics 139: 457-462.
59. Soldán T, Enktaivan S, Godunko RJ (2009) Commented checklist of mayflies (Ephemeroptera) of Mongolia. Aquat Insects 31: 653-670.
60. Taberlet P (1998) Biodiversity at the intraspecific level: the comparative phylogeographic approach. J Biotechnol 64: 91-100.
61. Takezaki N, Nei M (1996) Genetic distances and reconstruction of phylogenetic trees from microsatellite DNA. Genetics 144: 389-399.
62. Theissinger K, Feldheim KA, Taubmann J, Seitz A, Pauls SU (2008) Isolation and characterization of 10 higly polymorphic di- and trinucleotide microsatellite markers in the mayfly Ameletus inopinatus (Ephemeroptera: Siphlonuridae). Mol Ecol Resour 8: 1285-1287.
63. Thomas CD, Cameron A, Green RE, Bakkenes M, Beaumont LJ, Collingham YC et al (2004) Extinction risk from climate change. Nature 427: 145-147.
64. van Oosterhout CV, Hutchinson WF, Wills DPM, Shipley P (2004) MICRO-CHECKER: software for identifying and correcting genotyping errors in microsatellite data. Mol Ecol Notes 4: 535-538.
65. Wilcock HR, Bruford MW, Nichols RA, Hildrew AG (2007) Landscape, habitat characteristics and the genetic population structure of two caddisflies. Freshw Biol 52: 1907-1929.
66. Wright JF, Sutcliffe DW, Furse MT (eds) (2000) Assessing the biological quality of fresh waters: RIVPACS and other techniques. Freshwater Biological Association, Ambleside, Cumbria, UK.