IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i23p13067-d688005.html
   My bibliography  Save this article

The Potential for Future Shifts in Tree Species Distribution Provided by Dispersal and Ecological Niches: A Comparison between Beech and Oak in Europe

Author

Listed:
  • Maximilian Axer

    (Chair of Silviculture, Institute of Silviculture and Forest Protection, Technical University of Dresden, 01737 Dresden, Germany)

  • Robert Schlicht

    (Chair of Forest Biometrics and Forest Systems Analysis, Institute of Forest Growth and Forest Computer Sciences, Technical University of Dresden, 01737 Tharandt, Germany)

  • Rico Kronenberg

    (Chair of Meteorology, Institute of Hydrology and Meteorology, Technical University of Dresden, 01737 Tharandt, Germany)

  • Sven Wagner

    (Chair of Silviculture, Institute of Silviculture and Forest Protection, Technical University of Dresden, 01737 Dresden, Germany)

Abstract

(1) Due to global warming, distribution ranges of temperate tree species are shifting northwards and upslope to cooler areas. Shifts in distribution first become visible through changes in regeneration dynamics. However, the future distribution of tree species in the face of rapid climate change depends not only on the climatic suitability of the tree species, but also on its ability to disperse into new habitats. The aim of the study was therefore to examine how the distribution of European beech and European oak shifts and how species can spread from fragmented seed trees. (2) In order to investigate the shift in distribution of beech and oak, the bioclimatic envelopes of the old trees and different size classes of the natural regeneration were compared. Subsequently, a simulation of the potential distribution for the present climate, as well as for the climate for the reference period 2091–2100, for three different representative concentration pathways (RCP) scenarios was determined. In order to determine which of these areas can actually be colonised, a dispersal potential for the species was determined using a quantile regression, taking habitat fragmentation into account. (3) The results of the present study demonstrate range shifts of the tree species regeneration distribution ( B0, B1 and B2 ) compared to the overstorey distribution (OST). While oak regeneration shows an expansion of its distribution in the cold-wet range, beech regeneration shows a reduction of its distribution in the dry-warm range. As the dispersal potential of oak exceeds that of beech, it is expected that oak will be better able to spread from fragmented seed trees. However, the results also indicate that many areas, despite climatic suitability, cannot be colonised due to too large dispersal distances. (4) For the forest management, this results in an important planning tool for future tree species composition, as climatic suitability, habitat connectivity and dispersal ability are taken into account.

Suggested Citation

  • Maximilian Axer & Robert Schlicht & Rico Kronenberg & Sven Wagner, 2021. "The Potential for Future Shifts in Tree Species Distribution Provided by Dispersal and Ecological Niches: A Comparison between Beech and Oak in Europe," Sustainability, MDPI, vol. 13(23), pages 1-20, November.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13067-:d:688005
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/23/13067/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/23/13067/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Detlef Vuuren & Jae Edmonds & Mikiko Kainuma & Keywan Riahi & Allison Thomson & Kathy Hibbard & George Hurtt & Tom Kram & Volker Krey & Jean-Francois Lamarque & Toshihiko Masui & Malte Meinshausen & N, 2011. "The representative concentration pathways: an overview," Climatic Change, Springer, vol. 109(1), pages 5-31, November.
    2. Sagnard, Fabrice & Pichot, Christian & Dreyfus, Philippe & Jordano, Pedro & Fady, Bruno, 2007. "Modelling seed dispersal to predict seedling recruitment: Recolonization dynamics in a plantation forest," Ecological Modelling, Elsevier, vol. 203(3), pages 464-474.
    3. Niklaus E. Zimmermann & Mitja Skudnik & Maria Rizzo & Karl Mellert & Wolfgang Falk & Maria Naumann & Holger Veit & Thomas Gschwandtner & Ulrich Ulmer & Signe Normand & Eliane S. Meier & Andrej Breznik, 2013. "Potential Future Ranges of Tree Species in the Alps," Chapters, in: Gillian Cerbu & Marc Hanewinkel & Giacomo Al. Gerosa & Robert Jandl (ed.), Management Strategies to Adapt Alpine Space Forests to Climate Change Risks, IntechOpen.
    4. Laura Gray & Andreas Hamann, 2013. "Tracking suitable habitat for tree populations under climate change in western North America," Climatic Change, Springer, vol. 117(1), pages 289-303, March.
    Full references (including those not matched with items on IDEAS)

    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. Gupta, Rishabh & Mishra, Ashok, 2019. "Climate change induced impact and uncertainty of rice yield of agro-ecological zones of India," Agricultural Systems, Elsevier, vol. 173(C), pages 1-11.
    2. Voisin, Nathalie & Dyreson, Ana & Fu, Tao & O'Connell, Matt & Turner, Sean W.D. & Zhou, Tian & Macknick, Jordan, 2020. "Impact of climate change on water availability and its propagation through the Western U.S. power grid," Applied Energy, Elsevier, vol. 276(C).
    3. Mathys, A.S. & Coops, N.C. & Simard, S.W. & Waring, R.H. & Aitken, S.N., 2018. "Diverging distribution of seedlings and mature trees reflects recent climate change in British Columbia," Ecological Modelling, Elsevier, vol. 384(C), pages 145-153.
    4. Cristina Cattaneo & Emanuele Massetti, 2019. "Does Harmful Climate Increase Or Decrease Migration? Evidence From Rural Households In Nigeria," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 10(04), pages 1-36, November.
    5. Pascalle Smith & Georg Heinrich & Martin Suklitsch & Andreas Gobiet & Markus Stoffel & Jürg Fuhrer, 2014. "Station-scale bias correction and uncertainty analysis for the estimation of irrigation water requirements in the Swiss Rhone catchment under climate change," Climatic Change, Springer, vol. 127(3), pages 521-534, December.
    6. T.M.L. Wigley, 2018. "The Paris warming targets: emissions requirements and sea level consequences," Climatic Change, Springer, vol. 147(1), pages 31-45, March.
    7. Kalkuhl, Matthias & Wenz, Leonie, 2020. "The impact of climate conditions on economic production. Evidence from a global panel of regions," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    8. Islam, AFM Tariqul & Islam, AKM Saiful & Islam, GM Tarekul & Bala, Sujit Kumar & Salehin, Mashfiqus & Choudhury, Apurba Kanti & Dey, Nepal C. & Hossain, Akbar, 2022. "Adaptation strategies to increase water productivity of wheat under changing climate," Agricultural Water Management, Elsevier, vol. 264(C).
    9. Jaewon Kwak & Huiseong Noh & Soojun Kim & Vijay P. Singh & Seung Jin Hong & Duckgil Kim & Keonhaeng Lee & Narae Kang & Hung Soo Kim, 2014. "Future Climate Data from RCP 4.5 and Occurrence of Malaria in Korea," IJERPH, MDPI, vol. 11(10), pages 1-19, October.
    10. Hwang, In Chang, 2013. "Stochastic Kaya model and its applications," MPRA Paper 55099, University Library of Munich, Germany.
    11. Roberto Roson & Richard Damania, 2016. "Simulating the Macroeconomic Impact of Future Water Scarcity: an Assessment of Alternative Scenarios," IEFE Working Papers 84, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    12. Le Bars, Dewi, 2018. "Uncertainty in sea level rise projections due to the dependence between contributors," Earth Arxiv uvw3s, Center for Open Science.
    13. Taylor, Chris & Cullen, Brendan & D'Occhio, Michael & Rickards, Lauren & Eckard, Richard, 2018. "Trends in wheat yields under representative climate futures: Implications for climate adaptation," Agricultural Systems, Elsevier, vol. 164(C), pages 1-10.
    14. Henzler, Julia & Weise, Hanna & Enright, Neal J. & Zander, Susanne & Tietjen, Britta, 2018. "A squeeze in the suitable fire interval: Simulating the persistence of fire-killed plants in a Mediterranean-type ecosystem under drier conditions," Ecological Modelling, Elsevier, vol. 389(C), pages 41-49.
    15. Abhiru Aryal & Albira Acharya & Ajay Kalra, 2022. "Assessing the Implication of Climate Change to Forecast Future Flood Using CMIP6 Climate Projections and HEC-RAS Modeling," Forecasting, MDPI, vol. 4(3), pages 1-22, June.
    16. Hemen Mark Butu & Yongwon Seo & Jeung Soo Huh, 2020. "Determining Extremes for Future Precipitation in South Korea Based on RCP Scenarios Using Non-Parametric SPI," Sustainability, MDPI, vol. 12(3), pages 1-26, January.
    17. Milan Ščasný & Emanuele Massetti & Jan Melichar & Samuel Carrara, 2015. "Quantifying the Ancillary Benefits of the Representative Concentration Pathways on Air Quality in Europe," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 383-415, October.
    18. Habtemariam, Lemlem Teklegiorgis & Abate Kassa, Getachew & Gandorfer, Markus, 2017. "Impact of climate change on farms in smallholder farming systems: Yield impacts, economic implications and distributional effects," Agricultural Systems, Elsevier, vol. 152(C), pages 58-66.
    19. Allen-Dumas, Melissa R. & Rose, Amy N. & New, Joshua R. & Omitaomu, Olufemi A. & Yuan, Jiangye & Branstetter, Marcia L. & Sylvester, Linda M. & Seals, Matthew B. & Carvalhaes, Thomaz M. & Adams, Mark , 2020. "Impacts of the morphology of new neighborhoods on microclimate and building energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    20. Hamdi-Cherif, Meriem & Waisman, Henri & Guivarch, Céline & Hourcade, Jean-Charles, 2012. "Mitigation costs in second-best economies: time profile of emission reductions and sequencing of accompanying measures," Conference papers 332206, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

    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:gam:jsusta:v:13:y:2021:i:23:p:13067-:d:688005. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.