IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v297y2015icp232-245.html
   My bibliography  Save this article

GLOWORM-FL: A simulation model of the effects of climate and climate change on the free-living stages of gastro-intestinal nematode parasites of ruminants

Author

Listed:
  • Rose, Hannah
  • Wang, Tong
  • van Dijk, Jan
  • Morgan, Eric R.

Abstract

Gastrointestinal nematodes are important parasites of livestock and wildlife worldwide, causing mortality and morbidity, regulating host populations and threatening food security through reduced productivity of ruminant livestock. A significant part of the life-cycle of most GINs is completed outside of the host. GINs are therefore susceptible to changes in climate, and evidence of climate-driven changes in the phenology of GINs and the seasonal incidence of disease already exists. A modelling framework, GLOWORM-FL was developed to predict changes in the seasonal dynamics of the free-living stages of trichostrongylid GINs on pasture as a first step towards evaluating potential mitigation strategies. The general model framework was parameterised and validated for three GIN species that infect a range of ruminants worldwide: Haemonchus contortus, Teladorsagia circumcincta and Ostertagia ostertagi. The model builds significantly on previous models of GIN population dynamics by incorporating the behaviour of nematodes in response to climate variability, facilitated by recent advances in our understanding of the ecology of GINs. Simulations using historical and predicted future climatic data for a temperate region reveal the potential for an increase in annual infection pressure of H. contortus and T. circumcincta in small ruminants as increasing temperatures accelerate development and remove constraints on the development of H. contortus during the winter months. In contrast, a significant decrease in annual infection pressure is predicted for O. ostertagi in cattle due to accelerated development being offset by rapid mortality at higher temperatures. A similar trade-off is predicted during the summer months for H. contortus and T. circumcincta resulting in complex seasonal dynamics of the availability of infective stages on pasture. These changes could have significant impacts on the seasonal incidence and pathology of infection by GINs. GLOWORM-FL therefore provides an important tool to predict the seasonal risk of transmission of GINs and will aid in the design of climate-driven, risk-based GIN control strategies.

Suggested Citation

  • Rose, Hannah & Wang, Tong & van Dijk, Jan & Morgan, Eric R., 2015. "GLOWORM-FL: A simulation model of the effects of climate and climate change on the free-living stages of gastro-intestinal nematode parasites of ruminants," Ecological Modelling, Elsevier, vol. 297(C), pages 232-245.
  • Handle: RePEc:eee:ecomod:v:297:y:2015:i:c:p:232-245
    DOI: 10.1016/j.ecolmodel.2014.11.033
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380014006073
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2014.11.033?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. Soetaert, Karline & Petzoldt, Thomas & Setzer, R. Woodrow, 2010. "Solving Differential Equations in R: Package deSolve," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i09).
    2. 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.
    3. Morgan, E.R. & Medley, G.F. & Torgerson, P.R. & Shaikenov, B.S. & Milner-Gulland, E.J., 2007. "Parasite transmission in a migratory multiple host system," Ecological Modelling, Elsevier, vol. 200(3), pages 511-520.
    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. Justin Derner & David Briske & Matt Reeves & Tami Brown-Brandl & Miranda Meehan & Dana Blumenthal & William Travis & David Augustine & Hailey Wilmer & Derek Scasta & John Hendrickson & Jerry Volesky &, 2018. "Vulnerability of grazing and confined livestock in the Northern Great Plains to projected mid- and late-twenty-first century climate," Climatic Change, Springer, vol. 146(1), pages 19-32, January.
    2. Nwaerema Peace, 2020. "Impact of Climate Change on Insects, Pest, Diseases and Animal Biodiversity," International Journal of Environmental Sciences & Natural Resources, Juniper Publishers Inc., vol. 23(4), pages 175-178, March.
    3. Nwaerema Peace, 2020. "Impact of Climate Change on Insects, Pest, Diseases and Animal Biodiversity," International Journal of Environmental Sciences & Natural Resources, Juniper Publishers Inc., vol. 23(4), pages 165-167, 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. 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. 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.
    3. 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.
    4. 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).
    5. Hwang, In Chang, 2013. "Stochastic Kaya model and its applications," MPRA Paper 55099, University Library of Munich, Germany.
    6. Roson, Roberto & Damania, Richard, 2016. "Simulating the Macroeconomic Impact of Future Water Scarcity an Assessment of Alternative Scenarios," Conference papers 332687, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    7. Le Bars, Dewi, 2018. "Uncertainty in sea level rise projections due to the dependence between contributors," Earth Arxiv uvw3s, Center for Open Science.
    8. 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.
    9. 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.
    10. Schaeffer, Michiel & Gohar, Laila & Kriegler, Elmar & Lowe, Jason & Riahi, Keywan & van Vuuren, Detlef, 2015. "Mid- and long-term climate projections for fragmented and delayed-action scenarios," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 257-268.
    11. Kokou Amega & Yendoubé Laré & Ramchandra Bhandari & Yacouba Moumouni & Aklesso Y. G. Egbendewe & Windmanagda Sawadogo & Saidou Madougou, 2022. "Solar Energy Powered Decentralized Smart-Grid for Sustainable Energy Supply in Low-Income Countries: Analysis Considering Climate Change Influences in Togo," Energies, MDPI, vol. 15(24), pages 1-24, December.
    12. Jung-A Yang & Sooyoul Kim & Sangyoung Son & Nobuhito Mori & Hajime Mase, 2020. "Assessment of uncertainties in projecting future changes to extreme storm surge height depending on future SST and greenhouse gas concentration scenarios," Climatic Change, Springer, vol. 162(2), pages 425-442, September.
    13. Enrica De Cian & Ian Sue Wing, 2016. "Global Energy Demand in a Warming Climate," Working Papers 2016.16, Fondazione Eni Enrico Mattei.
    14. Guo, Jinggang & Prestemon, Jeffrey & Johnston, Craig, 2023. "Forest market outlook in the Southern United States," Forest Policy and Economics, Elsevier, vol. 157(C).
    15. Fahad Saeed & Mansour Almazroui & Nazrul Islam & Mariam Saleh Khan, 2017. "Intensification of future heat waves in Pakistan: a study using CORDEX regional climate models ensemble," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(3), pages 1635-1647, July.
    16. Zhongwen Xu & Liming Yao & Yin Long, 2020. "Climatic Impact Toward Regional Water Allocation and Transfer Strategies from Economic, Social and Environmental Perspectives," Land, MDPI, vol. 9(11), pages 1-17, November.
    17. Vizinho, André & Avelar, David & Fonseca, Ana Lúcia & Carvalho, Silvia & Sucena-Paiva, Leonor & Pinho, Pedro & Nunes, Alice & Branquinho, Cristina & Vasconcelos, Ana Cátia & Santos, Filipe Duarte & Ro, 2021. "Framing the application of Adaptation Pathways for agroforestry in Mediterranean drylands," Land Use Policy, Elsevier, vol. 104(C).
    18. Belém Barbosa & José Ramón Saura & Dag Bennett, 2024. "How do entrepreneurs perform digital marketing across the customer journey? A review and discussion of the main uses," The Journal of Technology Transfer, Springer, vol. 49(1), pages 69-103, February.
    19. Asian Development Bank (ADB) & Asian Development Bank (ADB) & Asian Development Bank (ADB) & Asian Development Bank (ADB), 2014. "Climate Proofing ADB's Investments in the Transport Sector: Experiences and Opportunities," ADB Reports RPT146741-2, Asian Development Bank (ADB).
    20. Klaus Desmet & Robert E. Kopp & Scott A. Kulp & Dávid Krisztián Nagy & Michael Oppenheimer & Esteban Rossi-Hansberg & Benjamin H. Strauss, 2021. "Evaluating the Economic Cost of Coastal Flooding," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(2), pages 444-486, April.

    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:297:y:2015:i:c:p:232-245. 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.