IDEAS home Printed from https://ideas.repec.org/a/spr/climat/v162y2020i2d10.1007_s10584-020-02772-9.html
   My bibliography  Save this article

Late summer temperature variability for the Southern Rocky Mountains (USA) since 1735 CE: applying blue light intensity to low-latitude Picea engelmannii Parry ex Engelm

Author

Listed:
  • Karen J. Heeter

    (University of Idaho)

  • Grant L. Harley

    (University of Idaho)

  • Justin T. Maxwell

    (Indiana University
    Harvard University)

  • James H. McGee

    (University of Idaho)

  • Trevis J. Matheus

    (California State University, Fullerton)

Abstract

Our study examines the application of using blue intensity (BI) methods to develop a late summer maximum temperature (Tmax) reconstruction for the Southern Rocky Mountains—a mid-latitude (i.e., 36° N), arid region in North America. We reconstruct August–September (AS) Tmax for the period 1735–2015 CE using a composite latewood BI (LWB) Engelmann spruce (Picea engelmannii Parry ex Engelm.) chronology from multiple sites across the Sangre de Cristo Mountains in Northern New Mexico, USA. This study presents the first BI-derived temperature reconstruction for the lower mid-latitudes (30–45° N) of North America. We compare the climate response of multiple tree-ring parameters: LWB, earlywood BI (EWB), ∆BI (earlywood BI minus latewood BI), ring width (RW), and maximum latewood density (MXD). Of all parameters, the site-composite LWB and ∆BI chronologies show the strongest correlations with AS Tmax. Reconstructed AS Tmax demonstrates fluctuating warm and cool periods during the latter portion of the Little Ice Age (ca. 1730–1850) and pronounced warming through the early to mid-twentieth century (ca. 1920–1950s). The reconstruction also documents substantial warming over the last decade, the trend of which appears to be anomalous within the context of the past ca. 280 years. We highlight the potential for BI methods to be successfully used at high-elevation, mid-latitude locations where temperature proxy datasets are scarce or non-existent. As many places across the mid-latitudes lack contiguous, temporally resolved, decadal-scale paleotemperature proxies, we suggest here that BI methods can be effective at improving the spatial gaps in the Northern Hemisphere temperature proxy network.

Suggested Citation

  • Karen J. Heeter & Grant L. Harley & Justin T. Maxwell & James H. McGee & Trevis J. Matheus, 2020. "Late summer temperature variability for the Southern Rocky Mountains (USA) since 1735 CE: applying blue light intensity to low-latitude Picea engelmannii Parry ex Engelm," Climatic Change, Springer, vol. 162(2), pages 965-988, September.
    • Handle: RePEc:spr:climat:v:162:y:2020:i:2:d:10.1007_s10584-020-02772-9
    DOI: 10.1007/s10584-020-02772-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10584-020-02772-9
    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/s10584-020-02772-9?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. Louis Guttman, 1954. "Some necessary conditions for common-factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 19(2), pages 149-161, June.
    2. Grant L. Harley & R. Stockton Maxwell & Bryan A. Black & Matthew F. Bekker, 2020. "A multi-century, tree-ring-derived perspective of the North Cascades (USA) 2014–2016 snow drought," Climatic Change, Springer, vol. 162(1), pages 127-143, September.
    3. Vinod, Hrishikesh D. & Lopez-de-Lacalle, Javier, 2009. "Maximum Entropy Bootstrap for Time Series: The meboot R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 29(i05).
    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. Grant L. Harley & Justin T. Maxwell & Karen E. King & Shelly A. Rayback & Edward R. Cook & Christopher Hansen & R. Stockton Maxwell & Frederick Reinig & Jan Esper & Tsun Fung Au & Ellen V. Bergan & Ka, 2024. "A 561-yr (1461-2022 CE) summer temperature reconstruction for Mid-Atlantic-Northeast USA shows connections to volcanic forcing and atmospheric circulation," Climatic Change, Springer, vol. 177(9), pages 1-23, September.

    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. Grant L. Harley & R. Stockton Maxwell & Bryan A. Black & Matthew F. Bekker, 2020. "A multi-century, tree-ring-derived perspective of the North Cascades (USA) 2014–2016 snow drought," Climatic Change, Springer, vol. 162(1), pages 127-143, September.
    2. Vinod, H.D., 2024. "Portfolio choice algorithms, including exact stochastic dominance," Journal of Financial Stability, Elsevier, vol. 70(C).
    3. Nico Migenda & Ralf Möller & Wolfram Schenck, 2021. "Adaptive dimensionality reduction for neural network-based online principal component analysis," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-32, March.
    4. Anos-Casero, Paloma & Udomsaph, Charles, 2009. "What drives firm productivity growth ?," Policy Research Working Paper Series 4841, The World Bank.
    5. Gerhard Derflinger, 1984. "A loss function for alpha factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 49(3), pages 325-330, September.
    6. Yoo, Sun-Young & Vonk, M. Elizabeth, 2012. "The development and initial validation of the Immigrant Parental Stress Inventory (IPSI) in a sample of Korean immigrant parents," Children and Youth Services Review, Elsevier, vol. 34(5), pages 989-998.
    7. Daniel Kosiorowski & Dominik Mielczarek & Jerzy. P. Rydlewski, 2017. "Forecasting of a Hierarchical Functional Time Series on Example of Macromodel for Day and Night Air Pollution in Silesia Region: A Critical Overview," Papers 1712.03797, arXiv.org.
    8. Meira, Erick & Cyrino Oliveira, Fernando Luiz & de Menezes, Lilian M., 2022. "Forecasting natural gas consumption using Bagging and modified regularization techniques," Energy Economics, Elsevier, vol. 106(C).
    9. Kevin Handtke & Lisa Richter-Beuschel & Susanne Bögeholz, 2022. "Self-Efficacy Beliefs of Teaching ESD: A Theory-Driven Instrument and the Effectiveness of ESD in German Teacher Education," Sustainability, MDPI, vol. 14(11), pages 1-32, May.
    10. Horstmann, Felix, 2017. "Measuring the shopper's attitude toward the point of sale display: Scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 112-123.
    11. Jaung, Wanggi & Putzel, Louis & Bull, Gary Q. & Kozak, Robert & Markum,, 2016. "Certification of forest watershed services: A Q methodology analysis of opportunities and challenges in Lombok, Indonesia," Ecosystem Services, Elsevier, vol. 22(PA), pages 51-59.
    12. Chun, JongSerl & Kim, Jinyung & Lee, Serim, 2023. "Development of a cyberbullying victimization scale for adolescents in South Korea," Children and Youth Services Review, Elsevier, vol. 144(C).
    13. Kosiorowski Daniel & Mielczarek Dominik & Rydlewski Jerzy P. & Snarska Małgorzata, 2018. "Generalized Exponential Smoothing In Prediction Of Hierarchical Time Series," Statistics in Transition New Series, Statistics Poland, vol. 19(2), pages 331-350, June.
    14. Daniel Kosiorowski & Jerzy P. Rydlewski & Małgorzata Snarska, 2019. "Detecting a structural change in functional time series using local Wilcoxon statistic," Statistical Papers, Springer, vol. 60(5), pages 1677-1698, October.
    15. Philip DuBois, 1960. "An analysis of Guttman's simplex," Psychometrika, Springer;The Psychometric Society, vol. 25(2), pages 173-182, June.
    16. Trucíos, Carlos & Hotta, Luiz K. & Valls Pereira, Pedro L., 2019. "On the robustness of the principal volatility components," Journal of Empirical Finance, Elsevier, vol. 52(C), pages 201-219.
    17. Christina Chiang & Paul K. Wells & Peter Fieger & Divesh S. Sharma, 2021. "An investigation into student satisfaction, approaches to learning and the learning context in Auditing," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(1), pages 913-936, March.
    18. James Arthur & Stephen R. Earl & Aidan P. Thompson & Joseph W. Ward, 2021. "The Value of Character-Based Judgement in the Professional Domain," Journal of Business Ethics, Springer, vol. 169(2), pages 293-308, March.
    19. Pedro Macedo & Mara Madaleno, 2022. "Global Temperature and Carbon Dioxide Nexus: Evidence from a Maximum Entropy Approach," Energies, MDPI, vol. 16(1), pages 1-13, December.
    20. Carlos Trucíos & Mauricio Zevallos & Luiz K. Hotta & André A. P. Santos, 2019. "Covariance Prediction in Large Portfolio Allocation," Econometrics, MDPI, vol. 7(2), pages 1-24, May.

    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:162:y:2020:i:2:d:10.1007_s10584-020-02772-9. 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.