Abstract
In order to successfully manage and conserve species and plant communities, it is important to have a good understanding of their ecology and distributions. The three liverwort species Anastrophyllum donnianum, Scapania ornithopodioides and Scapania nimbosa, are restricted to the mixed northern hepatic mat community found in the most oceanic parts of north-western Europe. These species are of conservation concern because they are globally rare with strict environmental requirements and a limited dispersal potential, which makes them vulnerable to disturbance and climate change. In this study we used species distribution modelling to (1) predict their potential distribution in Norway (2) to assess whether they are limited by dispersal or suitable climate, (3) identify which climatic factors are most important in determining their distribution and (4) suggest regions for further field based surveys. Maximum entropy (MaxEnt) models were developed for each species using target-group background data, and five environmental coverage layers. Our results indicate that all three species are limited by dispersal rather than the availability of suitable areas in Norway. In particular, A. donnianum seems to be limited from reaching uncolonised highly suitable areas in northern Norway due to a barrier unsuitable region with insufficient summer rain. S. ornithopodioides is absent from northern Norway despite the presence of highly suitable regions scattered along the coast. The models locate highly suitable areas where conservation measures should be focused when they overlap with known populations. Areas of interest for targeting searches for potentially undiscovered populations are indicated.
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References
Aranda SC, Gabriel R, Borges PAV, Santos AMC, de Azevedo EB, Patiño J, Hortal J, Lobo JM (2014) Geographical temporal and environmental determinants of bryophyte species richness in the Macaronesian Islands. PLoS ONE 9:e101786
Austin MP (2002) Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. Ecol Model 157:101–118
Austrheim G, Solberg EJ, Mysterud A, Daverdin M, Andersen R (2008) Hjortedyr og husdyr på beite i norsk utmark i perioden 1949–1999. NTNU (Norwegian University of Science and Technology), Trondheim, Norway
Blockeel T, Bosanquet S, Hill M, Preston C (2014) Atlas of British & Irish bryophytes, vol 1. Pisces Publications, Newbury
Bombosch A, Zitterbart DP, Van Opzeeland I, Frickenhaus S, Burkhardt E, Wisz MS, Boebel O (2014) Predictive habitat modelling of humpback (Megaptera novaeangliae) and Antarctic minke (Balaenoptera bonaerensis) whales in the Southern Ocean as a planning tool for seismic surveys. Deep Sea Res Part I 91:101–114
Bourg NA, McShea WJ, Gill DE (2005) Putting a CART before the search: successful habitat prediction for a rare forest herb. Ecology 86:2793–2804
Crawford RMM (2000) Ecological hazards of oceanic environments. New Phytol 147:257–281
Dahl E (1998) The phytogeography of northern Europe: British Isles, Fennoscandia, and adjacent areas. Cambridge University Press, New York
Damsholt K (2002) Illustrated flora of Nordic liverworts and hornworts. Nordic Bryological Society, Lund
Devos N, Renner MAM, Gradstein R, Shaw AJ, Laenen B, Vanderpoorten A (2011) Evolution of sexual systems, dispersal strategies and habitat selection in the liverwort genus Radula. New Phytol 192:225–236
ECCB (1995) Red data book of European bryophytes. European Committee for Conservation of Bryophytes, Trondheim
Elith J, Leathwick JR (2009) Species distribution models: ecological explanation and prediction across space and time Annu Rev Ecol Evol S 40:677
Elith J, Kearney M, Phillips S (2010) The art of modelling range-shifting species. Methods Ecol Evol 1:330–342
Elith J, Phillips SJ, Hastie T, Dudík M, Chee YE, Yates CJ (2011) A statistical explanation of MaxEnt for ecologist. Divers Distrib 17:43–57
Flagmeier M (2013) Scottish liverwort heath: response to a changing environment and prospects for the future. PhD, University of Aberdeen
Flagmeier M, Long DG, Genney DR, Hollingsworth PM, Woodin SJ (2013) Regeneration capacity of oceanic-montane liverworts: implications for community distribution and conservation. J Bryol 35:12–19
Franklin J (2010) Mapping species distributions: spatial inference and prediction. Cambridge University Press, Cambridge
Furness S, Grime J (1982) Growth rate and temperature responses in bryophytes: II. A comparative study of species of contrasted ecology. J Ecol 70:525–536
Guisan A, Thuiller W (2005) Predicting species distribution: offering more than simple habitat models. Ecol Lett 8:993–1009
Hanssen-Bauer I, Førland EJ, Haugen JE, Tveito OE (2003) Temperature and precipitation scenarios for Norway: comparison of results from dynamical and empirical donwscaling. Oslo, Norway
Hassel K, Blom HH, Flatberg KI, Halvorsen R, Johansen JI (2010) Moser: anthocerophyta, marchantiophyta, bryophyta. In: Kålås J, Viken Å, Henriksen S, Skjelseth S (eds) The 2010 Norwegian red list for species. Norwegian Biodiversity Information Centre, Norway, pp 139–153
Hassel K, Halvorsen R, Blom HH, Høitomt T (2015) Moser anthocerotophyta, marchantiophyta, bryophyta. In: Henriksen S, Hilmo O (eds) 2015 Norsk rødliste for arter 2015. Artsdatabanken, Norge
Hastie T, Tibshirani R, Friedman J (2009) The elements of statistical learning, 2nd edn. Springer, New York
Heinrichs J, Hentschel J, Feldberg K, Bombosch A, Schneider H (2009) Phylogenetic biogeography and taxonomy of disjunctly distributed bryophytes. J Syst Evol 47:497–508
Herben T, Söderström L (1992) Which habitat parameters are most important for the persistence of a bryophyte species on patchy, temporary substrates? Biol Conserv 59:121–126
Hernandez PA, Graham CH, Master LL, Albert DL (2006) The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography 29:773–785
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
Hijmans RJ, Phillips S, Leathwick J, Elith J (2012) Dismo: species distribution modeling
Hill MO, Preston CD (1998) The geographical relationships of British and Irish bryophytes. J Bryol 20:127–226
Hodd RL, Sheehy Skeffington M (2011) Mixed northern hepatic mat: a threatened and unique bryophyte community. Field Bryol 104:2–11
Hodd RL, Bourke D, Sheehy Skeffington M (2014) Projected range contractions of European protected oceanic montane plant communities: focus on climate change impacts is essential for their future conservation. PLoS ONE 9:e95147
Holyoak D (2006) Progress towards a species inventory for conservation of bryophytes in Ireland. In: Biology & Environment: Proceedings of the Royal Irish Academy, pp 225–236
Hurrell JW, Kushnir Y, Ottersen G, Visbeck M (2003) An overview of the North Atlantic Oscillation. In: Hurrell JW, Kushnir Y, Ottersen G, Visbeck M (eds) The North Atlantic Oscillation: climate significance and environmental impact, vol 134. American Geophysical Union, Washington DC, pp 1–36
Jordal JB, Hassel K (2010) The rare liverwort Scapania nimbosa—new knowledge about distribution and ecology in Norway. Lindbergia 33:81–91
Jørgensen EH (1934) Norges levermoser. Bergen Museum Skrifter 16:1–343
Laaka-Lindberg S, Hedderson TA, Longton RE (2000) Rarity and reproductive characters in the British hepatic flora. Lindbergia 25:78–84
Laenen B, Machac A, Gradstein SR, Shaw B, Patiño J, Désamoré A, Goffinet B, Cox CJ, Shaw J, Vanderpoorten A (2016) Geographical range in liverworts: does sex really matter? J Biogeogr 43:627–635
Löbel S, Snäll T, Rydin H (2006) Metapopulation processes in epiphytes inferred from patterns of regional distribution and local abundance in fragmented forest landscapes. J Ecol 94:856–868
Lobo JM, Jiménez-Valverde A, Real R (2008) AUC: a misleading measure of the performance of predictive distribution models. Global Ecol Biogeogr 17:145–151
Long D (2010) The tragedy of the Twelve Bens of Connemara: is there a future for Adelanthus lindenbergianus. Field Bryol 100:2–8
Mac Nally R (2000) Regression and model-building in conservation biology, biogeography and ecology: the distinction between–and reconciliation of–‘predictive’ and ‘explanatory’ models. Biodivers Conserv 9:655–671
Mateo RG, Croat TB, Felicísimo ÁM, Munoz J (2010) Profile or group discriminative techniques? Generating reliable species distribution models using pseudo-absences and target-group absences from natural history collections. Divers Distrib 16:84–94
McGrath R et al (2008) Ireland in a warmer world; scientific predictions of the Irish climate in the twenty-first century. Met Éireann, Dublin
Merow C, Smith MJ, Silander JA (2013) A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter. Ecography 36:1058–1069
Moen A (1999) National atlas of Norway: vegetation. Norwegian Mapping Authority, Hønefoss
Muñoz J, Felicísimo ÁM, Cabezas F, Burgaz AR, Martínez I (2004) Wind as a long-distance dispersal vehicle in the Southern Hemisphere. Science 304:1144–1147
Norwegian Biodiversity Information Centre (2015) Artskart 1.6—Search: marchantiophyta http://artskart.artsdatabanken.no/FaneKart.aspx?. Accessed 28 Jan 2015
Norwegian Mapping Authority (2001) DTM Digital terrengmodell
Norwegian Meteorological Institute and NVE (2014a) Daily precipitation. http://senorge.no/
Norwegian Meteorological Institute and NVE (2014b) Snowdepth in mm. http://senorge.no/
Paton JA (1999) The liverwort flora of the British Isles. Harley Books, Colchester
Phillips SJ, Dudík M (2008) Modeling of species distributions with MaxEnt: new extensions and a comprehensive evaluation. Ecography 31:161–175
Phillips SJ, Dudík M, Schapire RE (2004) A maximum entropy approach to species distribution modeling. In: Proceedings of the twenty-first international conference on machine learning, Alberta, Canada, ACM, pp 655–662
Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecol Model 190:231–259
Phillips SJ, Dudík M, Elith J, Graham CH, Lehmann A, Leathwick J, Ferrier S (2009) Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. Ecol Appl 19:181–197
Ponder WF, Carter GA, Flemons P, Chapman RR (2001) Evaluation of museum collection data for use in biodiversity assessment. Conserv Biol 15:648–657
Ratcliffe D (1968) An ecological account of Atlantic bryophytes in the British Isles. New Phytol 67:365–439
R Core Team (2014) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
Rothero G (2003) Bryophyte conservation in Scotland. Trans Proc Bot Soc Edinburgh Bot Soc Edinburgh Trans 55:17–26
Schofield W, Crum H (1972) Disjunctions in bryophytes. Ann Mo Bot Gard 59:174–202
Schuster R (1983) Phytogeography of the Bryophyta. In: Schuster RM (ed) New manual of bryology, vol 1. The Hattori Botanical Laboratory, Nichinan, p 626
Simberloff D (1998) Flagships, umbrellas, and keystones: is single-species management passé in the landscape era? Biol Conserv 83:247–257
Smith RJ, Stark LR (2014) Habitat vs. dispersal constraint’s on bryophyte diversity in the Mojave Desert. USA J Arid Environ 102:76–81
Snäll T, Hagstrom A, Rudolphi J, Rydin H (2004) Distribution pattern of the epiphyte Neckera pennata on three spatial scales—importance of past landscape structure, connectivity and local conditions. Ecography 27:757–766
Söderström L, During HJ (2005) Bryophyte rarity viewed from the perspectives of life history strategy and metapopulation dynamics. J Bryol 27:261–268
Speed JDM, Austrheim G, Hester AJ, Mysterud A (2010) Experimental evidence for herbivore limitation of the treeline. Ecology 91:3414–3420
Störmer P (1969) Mosses with a western and southern distribution in Norway. Universitetsforlaget, Oslo
Sundberg S (2013) Spore rain in relation to regional sources and beyond. Ecography 36:364–373
Vanderpoorten A, Goffinet B (2009) Introduction to bryophytes. Cambridge University Press, Cambridge
Virtanen R, Oksanen J (2007) The effects of habitat connectivity on cryptogam richness in boulder metacommunity. Biol Conserv 135:415–422
Wangen K (2015) Understanding the ecology of three mixed northern hepatic mat species at regional scale through species distribution modelling, and local scale through growth measurements and micro-climatic assessment. Master Thesis. Norwegian University of Science and Technology, Trondheim Norway p 74
Acknowledgments
We thank the Norwegian Environment Agency for funding through the Nature Index project. We also want to thank staff at the NTNU University Museum, Marc Daverdin, Even Hauge Juberg and Narjes Yousefi for helping with technical challenges. We thank the Norwegian Water Resources and Energy Directorate (NVE) and the Norwegian Meteorological Institute for providing us with environmental data for the rain frequency variable. Finally, we are grateful to two anonymous reviewers for constructive comments provided on a previous version of this work.
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Communicated by T. G. Allan Green.
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Wangen, K., Speed, J.D.M. & Hassel, K. Hyper-oceanic liverwort species of conservation concern: evidence for dispersal limitation and identification of suitable uncolonised regions. Biodivers Conserv 25, 1053–1071 (2016). https://doi.org/10.1007/s10531-016-1105-y
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DOI: https://doi.org/10.1007/s10531-016-1105-y