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Oecologia

, Volume 191, Issue 3, pp 565–578 | Cite as

Rainfall and temperature change drive Arnica montana population dynamics at the Northern distribution edge

  • Jan H. VikaneEmail author
  • Knut Rydgren
  • Eelke Jongejans
  • Vigdis Vandvik
Population ecology – original research

Abstract

Plant species of semi-natural grasslands are threatened by several simultaneous global change drivers, most notably land-use and climate change. In this study, we explore spatiotemporal variation and changes in deterministic (λ) and stochastic population growth rates (λs), and the underlying vital rates of eight populations of Arnica montana at the species’ north-western range margin in Norway. We assess to what extent variation in the demographic rates could be attributed to environmental correlates of the key global change drivers likely to operate at the range edge, including population size, surrogates of habitat quality, temperature and precipitation. We found no relationship between λ and population size or habitat quality, but λ declined in response to both increasing precipitation and increasing temperature. Life-table response experiments revealed that the temporal variability was driven by survival and clonality, whereas the spatial variation was driven by clonality. Our results suggest that A. montana has a threshold response to increasing precipitation, likely due to adaptations to local climatic conditions. Growth and flowering were both negatively affected by increasing temperature, but these effects had a low influence on the spatiotemporal variability in λ. In contrast, the stochastic growth rate was negatively influenced by climate change, indicating an increased extinction risk for marginal populations, possibly leading to range contraction of A. montana as climate change proceeds. Altogether, our study illustrates how the fates of peripheral populations, which are critically important in species range dynamics, may be affected by both deterministic and stochastic effects of multiple coinciding global change drivers.

Keywords

Climatic conditions Peripheral populations Stochastic growth rate Vital rates LTRE 

Notes

Acknowledgements

We gratefully acknowledge the landowners that allowed us to use their ground as sampling area. We thank S. Stentvedt, R. Furset, K. S. Vikane and I. S. Vikane for field-work assistance. We also thank two anonymous reviewers whose insightful comments improved the manuscript. Financial support from the Olaf Grolle Olsen endowment is acknowledged.

Author contribution statement

Declaration of authorship: JHV and VV formulated the idea and methodology, JHV conducted the fieldwork, JHV, EJ and KR analyzed the data, JHV wrote the manuscript; other authors provided editorial advice. All authors revised the manuscript critically for important intellectual content; and all authors approved the final version to be published.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interests.

Supplementary material

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Supplementary material 1 (DOCX 145 kb)
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Supplementary material 2 (DOCX 69 kb)
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Supplementary material 3 (DOCX 14 kb)
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Supplementary material 4 (DOCX 770 kb)
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Supplementary material 5 (DOCX 21 kb)

References

  1. Arctic Data Centre (2017) Interpolated precipitation datasets 2005-2009. Retrieved from: www.articdata.met.no. Downloaded on April 2017, Oslo
  2. Bates D, Mächler M, Bolker B, Walker S (2015) Fitting linear mixed-effects models using lme4. J Stat Softw 67:1–48CrossRefGoogle Scholar
  3. Bilz M, Kell SP, Maxted N, Lansdown RV (2011) European red list of vascular plants. Publications Office of the European Union, LuxembourgGoogle Scholar
  4. Bremer P, Jongejans E (2010) Frost and forest stand effects on the population dynamics of Asplenium scolopendrium. Popul Ecol 52:211–222.  https://doi.org/10.1007/s10144-009-0143-7 CrossRefGoogle Scholar
  5. Caswell H (2001) Matrix population models: construction, analysis, and interpretation, 2nd edn. Sinauer Associates, SunderlandGoogle Scholar
  6. Claessen D (2005) Alternative life-history pathways and the elasticity of stochastic matrix models. Am Nat 165:E27–E35.  https://doi.org/10.1086/427091 CrossRefPubMedGoogle Scholar
  7. Dahlgren JP, Ehrlén J (2009) Linking environmental variation to population dynamics of a forest herb. J Ecol 97:666–674.  https://doi.org/10.1111/j.1365-2745.2009.01504.x CrossRefGoogle Scholar
  8. Davison R, Jacquemyn H, Adriaens D, Honnay O, de Kroon H, Tuljapurkar S (2010) Demographic effects of extreme weather events on a short-lived calcareous grassland species: stochastic life table response experiments. J Ecol 98:255–267.  https://doi.org/10.1111/j.1365-2745.2009.01611.x CrossRefGoogle Scholar
  9. Doak DF, Morris WF (2010) Demographic compensation and tipping points in climate-induced range shifts. Nature 467:959.  https://doi.org/10.1038/nature09439 CrossRefPubMedGoogle Scholar
  10. Dobrowski SZ (2011) A climatic basis for microrefugia: the influence of terrain on climate. Global Change Biol 17:1022–1035.  https://doi.org/10.1111/j.1365-2486.2010.02263.x CrossRefGoogle Scholar
  11. Duflot R, Aviron S, Ernoult A, Fahrig L, Burel F (2015) Reconsidering the role of ‘semi-natural habitat’ in agricultural landscape biodiversity: a case study. Ecol Res 30:75–83.  https://doi.org/10.1007/s11284-014-1211-9 CrossRefGoogle Scholar
  12. Edvardsen A, Halvorsen R, Norderhaug A, Pedersen O, Rydgren K (2010) Habitat specificity of patches in modern agricultural landscapes. Landscape Ecol 25:1071–1083.  https://doi.org/10.1007/s10980-010-9481-2 CrossRefGoogle Scholar
  13. Ehrlén J, Morris WF, Euler T, Dahlgren JP (2016) Advancing environmentally explicit structured population models of plants. J Ecol 104:292–305.  https://doi.org/10.1111/1365-2745.12523 CrossRefGoogle Scholar
  14. Ellenberg H, Weber HE, Düll R, Wirth V, Werner W, Pauliben D (1992) Zeigerwerte von pflanzen in mitteleuropaGoogle Scholar
  15. Falniowski A, Bazos I, Hodálová I, Lansdown R, Petrova A (2013) Arnica montana. The IUCN red list of threatened species. Retrieved from:  https://doi.org/10.2305/iucn.uk.2011-1.rlts.t162327a5574104.en. Downloaded on December 2018
  16. Geological Survey of Norway (2017) Bedrock map. Retrieved from: www.ngu.no. Downloaded on December 2017, Trondheim
  17. Habel JC, Dengler J, Janišová M, Török P, Wellstein C, Wiezik M (2013) European grassland ecosystems: threatened hotspots of biodiversity. Biodivers Conserv 22:2131–2138.  https://doi.org/10.1007/s10531-013-0537-x CrossRefGoogle Scholar
  18. Hegland SJ, Jongejans E, Rydgren K (2010) Investigating the interaction between ungulate grazing and resource effects on Vaccinium myrtillus populations with integral projection models. Oecologia 163:695–706.  https://doi.org/10.1007/s00442-010-1616-2 CrossRefPubMedGoogle Scholar
  19. Heikkinen RK (1991) Multivariate analysis of esker vegetation in southern Häme, S Finland. Ann Bot Fennici 28:201–224Google Scholar
  20. Henriksen S, Hilmo O (2015) The norwegian red list for species. Norwegian Biodiversity Information Centre, NorwayGoogle Scholar
  21. IPCC (2014) Climate change 2014: Impacts, adaptation, and vulnerability. In: Part B: Regional aspects. contribution of working group ii to the fifth assessment report of the intergovernmental panel on climate change (Barros, V.R., C.B. Field, D.J. Dokken, M.D. Mastrandrea, K.J. Mach, T.E. Bilir, M. Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B. Girma, E.S. Kissel, A.N. Levy, S. MacCracken, P.R. Mastrandrea, and L.L. White (eds.). Cambridge University Press, Cambridge, UK and New York, USAGoogle Scholar
  22. Jacquemyn H, De Meester L, Jongejans E, Honnay O (2012) Evolutionary changes in plant reproductive traits following habitat fragmentation and their consequences for population fitness. J Ecol 100:76–87.  https://doi.org/10.1111/j.1365-2745.2011.01919.x CrossRefGoogle Scholar
  23. Jongejans E, Jorritsma-Wienk LD, Becker U, Dostal P, Milden M, de Kroon H (2010) Region versus site variation in the population dynamics of three short-lived perennials. J Ecol 98:279–289.  https://doi.org/10.1111/j.1365-2745.2009.01612.x CrossRefGoogle Scholar
  24. Kéry M, Matthies D (2004) Reduced fecundity in small populations of the rare plant Gentianopsis ciliate (Gentianaceae). Plant Biol 6:683–688.  https://doi.org/10.1055/S-2004-830331 CrossRefPubMedGoogle Scholar
  25. Kéry M, Gregg KB, Schaub M (2005) Demographic estimation methods for plants with unobservable life-states. Oikos 108:307–320.  https://doi.org/10.1111/j.0030-1299.2005.13589.x CrossRefGoogle Scholar
  26. Keyantash J, Dracup JA (2002) The quantification of drought: an evaluation of drought indices. Bull Am Meteorol Soc 83:1167–1180.  https://doi.org/10.1175/1520-0477(2002)083%3c1191:TQODAE%3e2.3.CO;2 CrossRefGoogle Scholar
  27. Knapp AK, Beier C, Briske DD, Classen AT, Luo Y, Reichstein M, Smith MD, Smith SD, Bell JE, Fay PA, Heisler JL, Leavitt SW, Sherry R, Smith B, Weng E (2008) Consequences of more extreme precipitation regimes for terrestrial ecosystems. Bioscience 58:811–821.  https://doi.org/10.1641/B580908 CrossRefGoogle Scholar
  28. Kolb A, Dahlgren JP, Ehrlén J (2010) Population size affects vital rates but not population growth rate of a perennial plant. Ecology 91:3210–3217.  https://doi.org/10.1890/09-2207.1 CrossRefPubMedGoogle Scholar
  29. Krauss J, Bommarco R, Guardiola M, Heikkinen RK, Helm A, Kuussaari M, Lindborg R, Öckinger E, Pärtel M, Pino J (2010) Habitat fragmentation causes immediate and time-delayed biodiversity loss at different trophic levels. Ecol Lett 13:597–605.  https://doi.org/10.1111/j.1461-0248.2010.01457.x CrossRefPubMedPubMedCentralGoogle Scholar
  30. Lawton JH (1993) Range, population abundance and conservation. Trends Ecol Evol 8:409–413.  https://doi.org/10.1016/0169-5347(93)90043-O CrossRefPubMedGoogle Scholar
  31. Lennon JJ, Kunin WE, Corne S, Carver S, Van Hees WWS (2002) Are Alaskan trees found in locally more favourable sites in marginal areas? Global Ecol Biogeogr 11:103–114.  https://doi.org/10.1046/j.1466-822X.2002.00279.x CrossRefGoogle Scholar
  32. Lesica P, Steele BM (1994) Prolonged dormancy in vascular plants and implications for monitoring studies. Nat Areas J 14:209–212Google Scholar
  33. Lotus Development Corporation (1991) Lotus 1-2-3 version 5.01. Lotus Development Corporation, Massachusetts, USAGoogle Scholar
  34. Luijten SH, Oostermeijer JGB, van Leeuwen NC, den Nijs HCM (1996) Reproductive success and clonal genetic structure of the rare Arnica montana (Compositae) in The Netherlands. Plant Syst Evol 201:15–30.  https://doi.org/10.1007/bf00989049 CrossRefGoogle Scholar
  35. Maurice T, Colling G, Muller S, Matthies D (2012) Habitat characteristics, stage structure and reproduction of colline and montane populations of the threatened species Arnica montana. Plant Ecol 213:831–842.  https://doi.org/10.1007/s11258-012-0045-1 CrossRefGoogle Scholar
  36. Maurice T, Matthies D, Muller S, Colling G (2016) Genetic structure of colline and montane populations of an endangered plant species. AoB PLANTS 8:plw057–plw057.  https://doi.org/10.1093/aobpla/plw057 CrossRefPubMedCentralGoogle Scholar
  37. MEA Millenium Ecosystem Assesment (2005) Ecosystem and Human Well-being: Biodiversity Synthesis. World Resources Institute, Washington DCGoogle Scholar
  38. Münzbergová Z (2006) Effect of population size on the prospect of species survival. Folia Geobot 41:137–150.  https://doi.org/10.1007/Bf02806475 CrossRefGoogle Scholar
  39. Nicolè F, Dahlgren JP, Vivat A, Till-Bottraud I, Ehrlén J (2011) Interdependent effects of habitat quality and climate on population growth of an endangered plant. J Ecol 99:1211–1218.  https://doi.org/10.1111/j.1365-2745.2011.01852.x CrossRefGoogle Scholar
  40. Norwegian Meteorological Institute (2017) Precipitation and temperature normal values 1961-91. Retrieved from: www.eklima.no. Downloaded December 2017, Oslo
  41. Økland RH (1986) Rescaling of ecological gradients. I. Calculation of ecological distance between vegetation stands by means of their floristic composition. Nord J Bot 6:651–660.  https://doi.org/10.1111/j.1756-1051.1986.tb00464.x CrossRefGoogle Scholar
  42. Økland RH (1990) Vegetation ecology: theory, method and applications with reference to Fennoscandia. Sommerfeltia Suppl 1:1–233Google Scholar
  43. Oksanen J, Blanchet F, Kindt R, Legendre P, Minchin P, O’Hara R, Simpson G, Solymos P, Stevens M, Wagner H (2013) vegan: Community Ecology Package Version 2.0-9, 2.0-3 edn. The R foundation for statistical computing. Retrived from: http://cran.r-project.org., http://cran.r-project.org
  44. Olsen SL, Töpper JP, Skarpaas O, Vandvik V, Klanderud K (2016) From facilitation to competition: temperature-driven shift in dominant plant interactions affects population dynamics in seminatural grasslands. Global Change Biol 22:1915–1926.  https://doi.org/10.1111/gcb.13241 CrossRefGoogle Scholar
  45. Peterson ML, Doak DF, Morris WF (2018) Both life-history plasticity and local adaptation will shape range-wide responses to climate warming in the tundra plant Silene acaulis. Global Change Biol 24:1614–1625.  https://doi.org/10.1111/gcb.13990 CrossRefGoogle Scholar
  46. Pironon S, Papuga G, Villellas J, Angert AL, García MB, Thompson JD (2016) Geographic variation in genetic and demographic performance: new insights from an old biogeographical paradigm. Biol Rev 92:1877–1909.  https://doi.org/10.1111/brv.12313 CrossRefPubMedGoogle Scholar
  47. R Development Core Team (2014) R: A language and environment for statistical computing R Foundation for Statistical Computing, http://cran.r-project.org
  48. Rydgren K (1997) Fine-scale disturbance in an old-growth boreal forest: patterns and processes. Sommerfeltia Suppl 7:1–25Google Scholar
  49. Sagarin RD, Gaines SD, Gaylord B (2006) Moving beyond assumptions to understand abundance distributions across the ranges of species. Trends Ecol Evol 21:524–530.  https://doi.org/10.1016/j.tree.2006.06.008 CrossRefPubMedGoogle Scholar
  50. Slatyer RA, Hirst M, Sexton JP (2013) Niche breadth predicts geographical range size: a general ecological pattern. Ecol Lett 16:1104–1114.  https://doi.org/10.1111/ele.12140 CrossRefGoogle Scholar
  51. Sletvold N, Dahlgren JP, Øien DI, Moen A, Ehrlen J (2013) Climate warming alters effects of management on population viability of threatened species: results from a 30-year experimental study on a rare orchid. Global Change Biol 19:2729–2738.  https://doi.org/10.1111/Gcb.12167 CrossRefGoogle Scholar
  52. Stubben C, Milligan B (2007) Estimating and analyzing demographic models using the popbio package in R. J Stat Softw 22:1–23CrossRefGoogle Scholar
  53. Suggitt AJ, Gillingham PK, Hill JK, Huntley B, Kunin WE, Roy DB, Thomas CD (2011) Habitat microclimates drive fine-scale variation in extreme temperatures. Oikos 120:1–8.  https://doi.org/10.1111/j.1600-0706.2010.18270.x CrossRefGoogle Scholar
  54. Thomas CD (2010) Climate, climate change and range boundaries. Divers Distrib 16:488–495.  https://doi.org/10.1111/j.1472-4642.2010.00642.x CrossRefGoogle Scholar
  55. Thompson K, Bakker JP, Bekker RM (1997) The soil seed banks of north west Europe: methodology, density and longevity. Cambridge University Press, CambridgeGoogle Scholar
  56. Töpper JP, Meineri E, Olsen SL, Rydgren K, Skarpaas O, Vandvik V (2018) The devil is in the detail: nonadditive and context-dependent plant population responses to increasing temperature and precipitation. Global Change Biol 24:4657–4666.  https://doi.org/10.1111/gcb.14336 CrossRefGoogle Scholar
  57. Toräng P, Ehrlén J, Ågren J (2010) Linking environmental and demographic data to predict future population viability of a perennial herb. Oecologia 163:99–109.  https://doi.org/10.1007/S00442-009-1552-1 CrossRefPubMedGoogle Scholar
  58. Tuljapurkar S, Horvitz CC, Pascarella JB (2003) The many growth rates and elasticities of populations in random environments. Am Nat 162:489–502.  https://doi.org/10.1086/378648 CrossRefPubMedGoogle Scholar
  59. van der Meer S, Jacquemyn H, Carey PD, Jongejans E (2016) Recent range expansion of a terrestrial orchid corresponds with climate-driven variation in its population dynamics. Oecologia 181:435–448.  https://doi.org/10.1007/s00442-016-3592-7 CrossRefPubMedGoogle Scholar
  60. Vikane JH (2006) Performance and demography of the declining long-lived perennial species Arnica montana in north-western Norway. Master thesis, University of Bergen, NorwayGoogle Scholar
  61. Vucetich JA, Waite TA (2003) Spatial patterns of demography and genetic processes across the species’ range: null hypotheses for landscape conservation genetics. Conserv Genet 4:639–645.  https://doi.org/10.1023/a:1025671831349 CrossRefGoogle Scholar
  62. Zeppel MJ, Wilks JV, Lewis JD (2014) Impacts of extreme precipitation and seasonal changes in precipitation on plants. Biogeosciences 11:3083–3093.  https://doi.org/10.5194/bg-11-3083-2014 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Biological SciencesUniversity of BergenBergenNorway
  2. 2.Department of Science and MathematicsVolda University CollegeVoldaNorway
  3. 3.Department of Environmental SciencesWestern Norway University of Applied SciencesSogndalNorway
  4. 4.Department of Animal Ecology and PhysiologyRadboud UniversityNijmegenThe Netherlands

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