IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0150649.html
   My bibliography  Save this article

Contrasting Role of Temperature in Structuring Regional Patterns of Invasive and Native Pestilential Stink Bugs

Author

Listed:
  • P Dilip Venugopal
  • Galen P Dively
  • Ames Herbert
  • Sean Malone
  • Joanne Whalen
  • William O Lamp

Abstract

Objectives: Assessment and identification of spatial structures in the distribution and abundance of invasive species is important for unraveling the underlying ecological processes. The invasive agricultural insect pest Halyomorpha halys that causes severe economic losses in the United States is currently expanding both within United States and across Europe. We examined the drivers of H. halys invasion by characterizing the distribution and abundance patterns of H. halys and native stink bugs (Chinavia hilaris and Euschistus servus) across eight different spatial scales. We then quantified the interactive and individual influences of temperature, and measures of resource availability and distance from source populations, and their relevant spatial scales. We used Moran’s Eigenvector Maps based on Gabriel graph framework to quantify spatial relationships among the soybean fields in mid-Atlantic Unites States surveyed for stink bugs. Findings: Results from the multi-spatial scale, multivariate analyses showed that temperature and its interaction with resource availability and distance from source populations structures the patterns in H. halys at very broad spatial scale. H. halys abundance decreased with increasing average June temperature and distance from source population. H. halys were not recorded at fields with average June temperature higher than 23.5°C. In parts with suitable climate, high H. halys abundance was positively associated with percentage developed open area and percentage deciduous forests at 250m scale. Broad scale patterns in native stink bugs were positively associated with increasing forest cover and, in contrast to the invasive H. halys, increasing mean July temperature. Our results identify the contrasting role of temperature in structuring regional patterns in H. halys and native stink bugs, while demonstrating its interaction with resource availability and distance from source populations for structuring H. halys patterns. Conclusion: These results help predicting the pest potential of H. halys and vulnerability of agricultural systems at various regions, given the climatic conditions, and its interaction with resource availability and distance from source populations. Monitoring and control efforts within parts of the United States and Europe with more suitable climate could focus in areas of peri-urban developments with deciduous forests and other host plants, along with efforts to reduce propagule pressure.

Suggested Citation

  • P Dilip Venugopal & Galen P Dively & Ames Herbert & Sean Malone & Joanne Whalen & William O Lamp, 2016. "Contrasting Role of Temperature in Structuring Regional Patterns of Invasive and Native Pestilential Stink Bugs," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-19, February.
  • Handle: RePEc:plo:pone00:0150649
    DOI: 10.1371/journal.pone.0150649
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0150649
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0150649&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0150649?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
    ---><---

    References listed on IDEAS

    as
    1. Dray, Stéphane & Dufour, Anne-Béatrice, 2007. "The ade4 Package: Implementing the Duality Diagram for Ecologists," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 22(i04).
    2. Munoz, François, 2009. "Distance-based eigenvector maps (DBEM) to analyse metapopulation structure with irregular sampling," Ecological Modelling, Elsevier, vol. 220(20), pages 2683-2689.
    3. Bivand, Roger & Piras, Gianfranco, 2015. "Comparing Implementations of Estimation Methods for Spatial Econometrics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i18).
    4. S. Ollier & P. Couteron & D. Chessel, 2006. "Orthonormal Transform to Decompose the Variance of a Life-History Trait across a Phylogenetic Tree," Biometrics, The International Biometric Society, vol. 62(2), pages 471-477, June.
    5. Pimentel, David & Zuniga, Rodolfo & Morrison, Doug, 2005. "Update on the environmental and economic costs associated with alien-invasive species in the United States," Ecological Economics, Elsevier, vol. 52(3), pages 273-288, February.
    6. Gengping Zhu & Wenjun Bu & Yubao Gao & Guoqing Liu, 2012. "Potential Geographic Distribution of Brown Marmorated Stink Bug Invasion (Halyomorpha halys)," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-10, February.
    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. Mojca Rot & Jolanda Persolja & Tanja Bohinc & Ivan Žežlina & Stanislav Trdan, 2023. "Seasonal Dynamics of the Brown Marmorated Stink Bug, Halyomorpha halys (Hemiptera: Pentatomidae), in Apple Orchards of Western Slovenia Using Two Trap Types," Agriculture, MDPI, vol. 13(8), pages 1-22, July.

    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. Guohuan Su & Adam Mertel & Sébastien Brosse & Justin M. Calabrese, 2023. "Species invasiveness and community invasibility of North American freshwater fish fauna revealed via trait-based analysis," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    2. Wenzel Kröber & Martin Böhnke & Erik Welk & Christian Wirth & Helge Bruelheide, 2012. "Leaf Trait-Environment Relationships in a Subtropical Broadleaved Forest in South-East China," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-11, April.
    3. Ceddia, M.G. & Bardsley, N.O. & Goodwin, R. & Holloway, G.J. & Nocella, G. & Stasi, A., 2013. "A complex system perspective on the emergence and spread of infectious diseases: Integrating economic and ecological aspects," Ecological Economics, Elsevier, vol. 90(C), pages 124-131.
    4. Pengfei Song & Wen Qin & YanGan Huang & Lei Wang & Zhenyuan Cai & Tongzuo Zhang, 2020. "Grazing Management Influences Gut Microbial Diversity of Livestock in the Same Area," Sustainability, MDPI, vol. 12(10), pages 1-12, May.
    5. Kuschnig, Nikolas, 2021. "Bayesian Spatial Econometrics and the Need for Software," Department of Economics Working Paper Series 318, WU Vienna University of Economics and Business.
    6. la Grange, Anthony & le Roux, Niël & Gardner-Lubbe, Sugnet, 2009. "BiplotGUI: Interactive Biplots in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i12).
    7. Travis Warziniack & David Finnoff & Jonathan Bossenbroek & Jason Shogren & David Lodge, 2011. "Stepping Stones for Biological Invasion: A Bioeconomic Model of Transferable Risk," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(4), pages 605-627, December.
    8. Gengping Zhu & Matthew J Petersen & Wenjun Bu, 2012. "Selecting Biological Meaningful Environmental Dimensions of Low Discrepancy among Ranges to Predict Potential Distribution of Bean Plataspid Invasion," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-9, September.
    9. Jonas Eberle & Renier Myburgh & Dirk Ahrens, 2014. "The Evolution of Morphospace in Phytophagous Scarab Chafers: No Competition - No Divergence?," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-16, May.
    10. Liesbeth François & Katrien Wijnrocx & Frédéric G Colinet & Nicolas Gengler & Bettine Hulsegge & Jack J Windig & Nadine Buys & Steven Janssens, 2017. "Genomics of a revived breed: Case study of the Belgian campine cattle," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-14, April.
    11. Chakir, Raja & Lungarska, Anna, 2015. "Agricultural land rents in land use models: a spatial econometric analysis," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212641, European Association of Agricultural Economists.
    12. Marcos-Martinez, Raymundo & Measham, Thomas G. & Fleming-Muñoz, David A., 2019. "Economic impacts of early unconventional gas mining: Lessons from the coal seam gas industry in New South Wales, Australia," Energy Policy, Elsevier, vol. 125(C), pages 338-346.
    13. Meilan An & Jeffrey Vitale & Kwideok Han & John N. Ng’ombe & Inbae Ji, 2021. "Effects of Spatial Characteristics on the Spread of the Highly Pathogenic Avian Influenza (HPAI) in Korea," IJERPH, MDPI, vol. 18(8), pages 1-13, April.
    14. Demidova, Olga, 2021. "Methods of spatial econometrics and evaluation of government programs effectiveness," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 64, pages 107-134.
    15. Blackwood, Julie & Hastings, Alan & Costello, Christopher, 2010. "Cost-effective management of invasive species using linear-quadratic control," Ecological Economics, Elsevier, vol. 69(3), pages 519-527, January.
    16. Cook, David & Proctor, Wendy, 2007. "Assessing the threat of exotic plant pests," Ecological Economics, Elsevier, vol. 63(2-3), pages 594-604, August.
    17. Mirko Di Febbraro & Peter W W Lurz & Piero Genovesi & Luigi Maiorano & Marco Girardello & Sandro Bertolino, 2013. "The Use of Climatic Niches in Screening Procedures for Introduced Species to Evaluate Risk of Spread: A Case with the American Eastern Grey Squirrel," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-10, July.
    18. Colvin, Michael E. & Pierce, Clay L. & Stewart, Timothy W., 2015. "A food web modeling analysis of a Midwestern, USA eutrophic lake dominated by non-native Common Carp and Zebra Mussels," Ecological Modelling, Elsevier, vol. 312(C), pages 26-40.
    19. Beça, Pedro & Santos, Rui, 2010. "Measuring sustainable welfare: A new approach to the ISEW," Ecological Economics, Elsevier, vol. 69(4), pages 810-819, February.
    20. Don Driscoll & Adam Felton & Philip Gibbons & Annika Felton & Nicola Munro & David Lindenmayer, 2012. "Priorities in policy and management when existing biodiversity stressors interact with climate-change," Climatic Change, Springer, vol. 111(3), pages 533-557, April.

    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:plo:pone00:0150649. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.