IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v222y2011i1p21-32.html
   My bibliography  Save this article

Are Swiss birds tracking climate change?

Author

Listed:
  • Maggini, Ramona
  • Lehmann, Anthony
  • Kéry, Marc
  • Schmid, Hans
  • Beniston, Martin
  • Jenni, Lukas
  • Zbinden, Niklaus

Abstract

Climate change is affecting biodiversity worldwide inducing species to either “move, adapt or die”. In this paper we propose a conceptual framework for analysing range shifts, namely a catalogue of the possible patterns of change in the distribution of a species along elevational or other environmental gradients and an improved quantitative methodology to identify and objectively describe these patterns. Patterns are defined in terms of changes occurring at the leading, trailing or both edges of the distribution: (a) leading edge expansion, (b) trailing edge retraction, (c) range expansion, (d) optimum shift, (e) expansion, (f) retraction, and (g) shift. The methodology is based on the modelling of species distributions along a gradient using generalized additive models (GAMs). Separate models are calibrated for two distinct periods of assessment and response curves are compared over five reference points. Changes occurred at these points are formalized into a code that ultimately designates the corresponding change pattern. We tested the proposed methodology using data from the Swiss national common breeding bird survey. The elevational distributions of 95 bird species were modelled for the periods 1999–2002 and 2004–2007 and significant upward shifts (all patterns confounded) were identified for 35% of the species. Over the same period, an increase in mean temperature was registered for Switzerland. In consideration of the short period covered by the case study, assessed change patterns are considered to correspond to intermediate patterns in an ongoing shifting process. However, similar patterns can be determined by habitat barriers, land use/land cover changes, competition with concurrent or invasive species or different warming rates at different elevations.

Suggested Citation

  • Maggini, Ramona & Lehmann, Anthony & Kéry, Marc & Schmid, Hans & Beniston, Martin & Jenni, Lukas & Zbinden, Niklaus, 2011. "Are Swiss birds tracking climate change?," Ecological Modelling, Elsevier, vol. 222(1), pages 21-32.
  • Handle: RePEc:eee:ecomod:v:222:y:2011:i:1:p:21-32
    DOI: 10.1016/j.ecolmodel.2010.09.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380010004813
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2010.09.010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wilfried Thuiller, 2007. "Climate change and the ecologist," Nature, Nature, vol. 448(7153), pages 550-552, August.
    2. J. Alan Pounds & Michael P. L. Fogden & John H. Campbell, 1999. "Biological response to climate change on a tropical mountain," Nature, Nature, vol. 398(6728), pages 611-615, April.
    3. Camille Parmesan & Gary Yohe, 2003. "A globally coherent fingerprint of climate change impacts across natural systems," Nature, Nature, vol. 421(6918), pages 37-42, January.
    4. Heikkinen, Juha & Mäkipää, Raisa, 2010. "Testing hypotheses on shape and distribution of ecological response curves," Ecological Modelling, Elsevier, vol. 221(3), pages 388-399.
    5. Humphrey Q. P. Crick & Timothy H. Sparks, 1999. "Climate change related to egg-laying trends," Nature, Nature, vol. 399(6735), pages 423-423, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nicoletta Cannone & M. Guglielmin & P. Convey & M. R. Worland & S. E. Favero Longo, 2016. "Vascular plant changes in extreme environments: effects of multiple drivers," Climatic Change, Springer, vol. 134(4), pages 651-665, February.
    2. Cormont, Anouk & Wieger Wamelink, G.W. & Jochem, René & WallisDeVries, Michiel F. & Wegman, Ruut M.A., 2013. "Host plant-mediated effects of climate change on the occurrence of the Alcon blue butterfly (Phengaris alcon)," Ecological Modelling, Elsevier, vol. 250(C), pages 329-337.
    3. Diego Lizana-Ciudad & Víctor J. Colino-Rabanal & Óscar J. Arribas & Miguel Lizana, 2021. "Connectivity Predicts Presence but Not Population Density in the Habitat-Specific Mountain Lizard Iberolacerta martinezricai," Sustainability, MDPI, vol. 13(5), pages 1-14, March.
    4. Di Febbraro, Mirko & D’Amen, Manuela & Raia, Pasquale & De Rosa, Davide & Loy, Anna & Guisan, Antoine, 2018. "Using macroecological constraints on spatial biodiversity predictions under climate change: the modelling method matters," Ecological Modelling, Elsevier, vol. 390(C), pages 79-87.
    5. Nicoletta Cannone & M. Guglielmin & P. Convey & M. Worland & S. Favero Longo, 2016. "Vascular plant changes in extreme environments: effects of multiple drivers," Climatic Change, Springer, vol. 134(4), pages 651-665, February.
    6. Nicoletta Cannone & Sandro Pignatti, 2014. "Ecological responses of plant species and communities to climate warming: upward shift or range filling processes?," Climatic Change, Springer, vol. 123(2), pages 201-214, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Víctor Rincón & Javier Velázquez & Derya Gülçin & Aida López-Sánchez & Carlos Jiménez & Ali Uğur Özcan & Juan Carlos López-Almansa & Tomás Santamaría & Daniel Sánchez-Mata & Kerim Çiçek, 2023. "Mapping Priority Areas for Connectivity of Yellow-Winged Darter ( Sympetrum flaveolum , Linnaeus 1758) under Climate Change," Land, MDPI, vol. 12(2), pages 1-39, January.
    2. German Forero-Medina & John Terborgh & S Jacob Socolar & Stuart L Pimm, 2011. "Elevational Ranges of Birds on a Tropical Montane Gradient Lag behind Warming Temperatures," PLOS ONE, Public Library of Science, vol. 6(12), pages 1-5, December.
    3. Bell, David M. & Schlaepfer, Daniel R., 2016. "On the dangers of model complexity without ecological justification in species distribution modeling," Ecological Modelling, Elsevier, vol. 330(C), pages 50-59.
    4. Sanghun Lee & Baek-Jun Kim & Kon Joon Bhang, 2019. "Habitat Analysis of Endangered Korean Long-Tailed Goral ( Naemorhedus caudatus raddeanus ) with Weather Forecasting Model," Sustainability, MDPI, vol. 11(21), pages 1-13, November.
    5. McRae, Brad H. & Schumaker, Nathan H. & McKane, Robert B. & Busing, Richard T. & Solomon, Allen M. & Burdick, Connie A., 2008. "A multi-model framework for simulating wildlife population response to land-use and climate change," Ecological Modelling, Elsevier, vol. 219(1), pages 77-91.
    6. Brecka, Aaron F.J. & Shahi, Chander & Chen, Han Y.H., 2018. "Climate change impacts on boreal forest timber supply," Forest Policy and Economics, Elsevier, vol. 92(C), pages 11-21.
    7. Asma Bourougaaoui & Mohamed L. Ben Jamâa & Christelle Robinet, 2021. "Has North Africa turned too warm for a Mediterranean forest pest because of climate change?," Climatic Change, Springer, vol. 165(3), pages 1-20, April.
    8. Xinyan Mao & Xinyu Guo & Yucheng Wang & Katsumi Takayama, 2019. "Influences of Global Warming on the Larval Survival and Transport of Snow Crab ( Chionoecetes opilio ) in the Sea of Japan," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    9. Richard Tol, 2011. "Regulating knowledge monopolies: the case of the IPCC," Climatic Change, Springer, vol. 108(4), pages 827-839, October.
    10. Ding, Yimin & Wang, Weiguang & Song, Ruiming & Shao, Quanxi & Jiao, Xiyun & Xing, Wanqiu, 2017. "Modeling spatial and temporal variability of the impact of climate change on rice irrigation water requirements in the middle and lower reaches of the Yangtze River, China," Agricultural Water Management, Elsevier, vol. 193(C), pages 89-101.
    11. Anne Goodenough & Adam Hart, 2013. "Correlates of vulnerability to climate-induced distribution changes in European avifauna: habitat, migration and endemism," Climatic Change, Springer, vol. 118(3), pages 659-669, June.
    12. Francesca Pilotto & Ingolf Kühn & Rita Adrian & Renate Alber & Audrey Alignier & Christopher Andrews & Jaana Bäck & Luc Barbaro & Deborah Beaumont & Natalie Beenaerts & Sue Benham & David S. Boukal & , 2020. "Meta-analysis of multidecadal biodiversity trends in Europe," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    13. Wesley R. Brooks & Stephen C. Newbold, 2013. "Ecosystem damages in integrated assessment models of climate change," NCEE Working Paper Series 201302, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Mar 2013.
    14. Wang, Xiong & Wang, Xiao & Ren, Xiaohang & Wen, Fenghua, 2022. "Can digital financial inclusion affect CO2 emissions of China at the prefecture level? Evidence from a spatial econometric approach," Energy Economics, Elsevier, vol. 109(C).
    15. Hao Wang & Guohua Liu & Zongshan Li & Xin Ye & Bojie Fu & Yihe Lü, 2017. "Analysis of the Driving Forces in Vegetation Variation in the Grain for Green Program Region, China," Sustainability, MDPI, vol. 9(10), pages 1-14, October.
    16. Fabina, Nicholas S. & Abbott, Karen C. & Gilman, R.Tucker, 2010. "Sensitivity of plant–pollinator–herbivore communities to changes in phenology," Ecological Modelling, Elsevier, vol. 221(3), pages 453-458.
    17. Xiumei Wang & Jianjun Dong & Taogetao Baoyin & Yuhai Bao, 2019. "Estimation and Climate Factor Contribution of Aboveground Biomass in Inner Mongolia’s Typical/Desert Steppes," Sustainability, MDPI, vol. 11(23), pages 1-15, November.
    18. Pavão, D.C. & Elias, R.B. & Silva, L., 2019. "Comparison of discrete and continuum community models: Insights from numerical ecology and Bayesian methods applied to Azorean plant communities," Ecological Modelling, Elsevier, vol. 402(C), pages 93-106.
    19. Anna Yusa & Peter Berry & June J.Cheng & Nicholas Ogden & Barrie Bonsal & Ronald Stewart & Ruth Waldick, 2015. "Climate Change, Drought and Human Health in Canada," IJERPH, MDPI, vol. 12(7), pages 1-54, July.
    20. A. Ogden & J. Innes, 2008. "Climate change adaptation and regional forest planning in southern Yukon, Canada," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 13(8), pages 833-861, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:222:y:2011:i:1:p:21-32. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.