IDEAS home Printed from https://ideas.repec.org/a/spr/climat/v137y2016i3d10.1007_s10584-016-1692-3.html
   My bibliography  Save this article

A crop and cultivar-specific approach to assess future winter chill risk for fruit and nut trees

Author

Listed:
  • R. Darbyshire

    (University of Melbourne)

  • P. Measham

    (University of Tasmania)

  • I. Goodwin

    (University of Melbourne
    Victorian Government)

Abstract

Anthropogenic climate change will influence winter chill accumulation, with future declines likely in temperate locations. However, these declines only translate as impacts when cultivar winter chilling requirements are not satisfied. This study presents a methodology to evaluate future impacts of declining winter chill through a cultivarspecific approach which is useful for growers, industry and policy-makers to develop adaptation strategies. A risk based system was applied to represent the likelihood of meeting cultivar chilling requirements using low, medium, medium-high and high risk ratings based on percentiles. This was combined with climate projection uncertainty graphically at 16 Australian growing districts historically (1981–2010) and for 2030, 2050 and 2090. The results demonstrated that impacts and likely adaptation options differed between cultivars, some recording limited risk at all sites out to 2090 ('Nonpareil' almond) whilst others recorded greater risk both historically and into the future ('Chandler' walnut). Notably, risk differed across sites and with the future time period. These results highlight which cultivars are susceptible to low winter chill conditions, where this risk does and does not manifest and the different time horizons at which the risk will materialise across Australia's main growing districts. Using this approach, changes in winter chill conditions are presented in a useable form which allows for appropriate climate adaptation strategies to be developed, securing the industries into the future.

Suggested Citation

  • R. Darbyshire & P. Measham & I. Goodwin, 2016. "A crop and cultivar-specific approach to assess future winter chill risk for fruit and nut trees," Climatic Change, Springer, vol. 137(3), pages 541-556, August.
  • Handle: RePEc:spr:climat:v:137:y:2016:i:3:d:10.1007_s10584-016-1692-3
    DOI: 10.1007/s10584-016-1692-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10584-016-1692-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10584-016-1692-3?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. Penny Whetton & Kevin Hennessy & John Clarke & Kathleen McInnes & David Kent, 2012. "Use of Representative Climate Futures in impact and adaptation assessment," Climatic Change, Springer, vol. 115(3), pages 433-442, December.
    2. Jun, Mikyoung & Knutti, Reto & Nychka, Douglas W, 2008. "Spatial Analysis to Quantify Numerical Model Bias and Dependence," Journal of the American Statistical Association, American Statistical Association, vol. 103(483), pages 934-947.
    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. Eduardo Fernandez & Lars Caspersen & Ilja Illert & Eike Luedeling, 2021. "Warm winters challenge the cultivation of temperate species in South America—a spatial analysis of chill accumulation," Climatic Change, Springer, vol. 169(3), pages 1-19, December.
    2. Andreas Buerkert & Eduardo Fernandez & Beke Tietjen & Eike Luedeling, 2020. "Revisiting climate change effects on winter chill in mountain oases of northern Oman," Climatic Change, Springer, vol. 162(3), pages 1399-1417, October.
    3. Haïfa Benmoussa & Eike Luedeling & Mohamed Ghrab & Mehdi Ben Mimoun, 2020. "Severe winter chill decline impacts Tunisian fruit and nut orchards," Climatic Change, Springer, vol. 162(3), pages 1249-1267, October.
    4. Eduardo Fernandez & Cory Whitney & Italo F. Cuneo & Eike Luedeling, 2020. "Prospects of decreasing winter chill for deciduous fruit production in Chile throughout the 21st century," Climatic Change, Springer, vol. 159(3), pages 423-439, April.
    5. Hossein Noorazar & Lee Kalcsits & Vincent P. Jones & Matthew S. Jones & Kirti Rajagopalan, 2022. "Climate change and chill accumulation: implications for tree fruit production in cold-winter regions," Climatic Change, Springer, vol. 171(3), pages 1-16, April.

    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. 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.
    2. Lauren Rickards & John Wiseman & Taegen Edwards & Che Biggs, 2014. "The Problem of Fit: Scenario Planning and Climate Change Adaptation in the Public Sector," Environment and Planning C, , vol. 32(4), pages 641-662, August.
    3. Thordis L. Thorarinsdottir & Tilmann Gneiting, 2010. "Probabilistic forecasts of wind speed: ensemble model output statistics by using heteroscedastic censored regression," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(2), pages 371-388, April.
    4. Buckwell, Andrew & Fleming, Christopher & Smart, James & Mackey, Brendan & Ware, Daniel & Hallgren, Willow & Sahin, Oz & Nalau, Johanna, 2018. "Valuing aggregated ecosystem services at a national and regional scale for Vanuatu using a remotely operable, rapid assessment methodology," 2018 Conference (62nd), February 7-9, 2018, Adelaide, Australia 273524, Australian Agricultural and Resource Economics Society.
    5. David Stainforth, 2010. "Probabilistic regional and seasonal predictions of twenty-first century temperature and precipitation," GRI Working Papers 23, Grantham Research Institute on Climate Change and the Environment.
    6. Astrid Kause & Wändi Bruine de Bruin & Fai Fung & Andrea Taylor & Jason Lowe, 2020. "Visualizations of Projected Rainfall Change in the United Kingdom: An Interview Study about User Perceptions," Sustainability, MDPI, vol. 12(7), pages 1-21, April.
    7. Alexandra Jonko & Nathan M. Urban & Balu Nadiga, 2018. "Towards Bayesian hierarchical inference of equilibrium climate sensitivity from a combination of CMIP5 climate models and observational data," Climatic Change, Springer, vol. 149(2), pages 247-260, July.
    8. Thomas Mendlik & Andreas Gobiet, 2016. "Selecting climate simulations for impact studies based on multivariate patterns of climate change," Climatic Change, Springer, vol. 135(3), pages 381-393, April.
    9. J. Bhend & P. Whetton, 2013. "Consistency of simulated and observed regional changes in temperature, sea level pressure and precipitation," Climatic Change, Springer, vol. 118(3), pages 799-810, June.
    10. Nayruti Trivedi & Murali Venkatraman & Clement Chu & Ivan Cole, 2014. "Effect of climate change on corrosion rates of structures in Australia," Climatic Change, Springer, vol. 124(1), pages 133-146, May.
    11. Frigg, Roman & Smith, Leonard A. & Stainforth, David A., 2015. "An assessment of the foundational assumptions inhigh-resolution climate projections: the case of UKCP09," LSE Research Online Documents on Economics 61635, London School of Economics and Political Science, LSE Library.
    12. Drielsma, Michael J. & Love, Jamie & Williams, Kristen J. & Manion, Glenn & Saremi, Hanieh & Harwood, Tom & Robb, Janeen, 2017. "Bridging the gap between climate science and regional-scale biodiversity conservation in south-eastern Australia," Ecological Modelling, Elsevier, vol. 360(C), pages 343-362.
    13. Stefano Castruccio & Joseph Guinness, 2017. "An evolutionary spectrum approach to incorporate large-scale geographical descriptors on global processes," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(2), pages 329-344, February.
    14. Kleiber, William & Nychka, Douglas, 2012. "Nonstationary modeling for multivariate spatial processes," Journal of Multivariate Analysis, Elsevier, vol. 112(C), pages 76-91.
    15. Jun, Mikyoung, 2014. "Matérn-based nonstationary cross-covariance models for global processes," Journal of Multivariate Analysis, Elsevier, vol. 128(C), pages 134-146.
    16. McKitrick Ross, 2010. "Atmospheric Circulations Do Not Explain the Temperature-Industrialization Correlation," Statistics, Politics and Policy, De Gruyter, vol. 1(1), pages 1-20, July.
    17. Matthew Ranson & Carolyn Kousky & Matthias Ruth & Lesley Jantarasami & Allison Crimmins & Lisa Tarquinio, 2014. "Tropical and extratropical cyclone damages under climate change," Climatic Change, Springer, vol. 127(2), pages 227-241, November.
    18. Joseph Daron & Ian Macadam & Hideki Kanamaru & Thelma Cinco & Jack Katzfey & Claire Scannell & Richard Jones & Marcelino Villafuerte & Faye Cruz & Gemma Narisma & Rafaela Jane Delfino & Rodel Lasco & , 2018. "Providing future climate projections using multiple models and methods: insights from the Philippines," Climatic Change, Springer, vol. 148(1), pages 187-203, May.
    19. Ambarish V. Karmalkar & Jeanne M. Thibeault & Alexander M. Bryan & Anji Seth, 2019. "Identifying credible and diverse GCMs for regional climate change studies—case study: Northeastern United States," Climatic Change, Springer, vol. 154(3), pages 367-386, June.
    20. David J. Lawrence & Amber N. Runyon & John E. Gross & Gregor W. Schuurman & Brian W. Miller, 2021. "Divergent, plausible, and relevant climate futures for near- and long-term resource planning," Climatic Change, Springer, vol. 167(3), pages 1-20, August.

    More about this item

    Statistics

    Access and download statistics

    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:spr:climat:v:137:y:2016:i:3:d:10.1007_s10584-016-1692-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.