IDEAS home Printed from https://ideas.repec.org/a/spr/climat/v134y2016i1d10.1007_s10584-015-1500-5.html
   My bibliography  Save this article

Predicting the potential distribution of Lantana camara L. under RCP scenarios using ISI-MIP models

Author

Listed:
  • Z. Qin

    (South China Agricultural University
    Key Laboratory of Ecological Agriculture of Ministry of Agriculture of China
    South China Agricultural University)

  • J. E. Zhang

    (South China Agricultural University
    Key Laboratory of Ecological Agriculture of Ministry of Agriculture of China
    South China Agricultural University)

  • A. DiTommaso

    (Cornell University)

  • R. L. Wang

    (South China Agricultural University
    Key Laboratory of Ecological Agriculture of Ministry of Agriculture of China
    South China Agricultural University)

  • K. M. Liang

    (South China Agricultural University
    Key Laboratory of Ecological Agriculture of Ministry of Agriculture of China
    South China Agricultural University)

Abstract

Projections of anthropogenically-induced global climate change and its impacts on potential distributions of invasive species are crucial for implementing effective conservation and management strategies. Lantana camara L., a popular ornamental plant native to tropical America, has become naturalized in some 50 countries and is considered one of the world’s worst weeds. To increase our understanding of its potential extent of spread and examine the responses of global geographic distribution, predictive models incorporating global distribution data of L. camara were generated. These models were used to identify areas of environmental suitability and project the effects of future climate change based on an ensemble of the four global climate models (GCMs) within the Inter-Sectoral Impact Model Intercomparis on Project (ISI-MIP). Each model was run under the four emission scenarios (Representative Concentration Pathways, RCPs) using the Maximum entropy (Maxent) approach. Future model predictions through 2050 indicated an overall expansion of L. camara, despite future suitability varying considerably among continents. Under the four RCP scenarios, the range of L. camara expanded further inland in many regions (e.g. Africa, Australia), especially under the RCP85 emission scenario. The global distribution of L. camara, though restricted within geographical regions of similar latitude as at present (35°N ~ 35°S), was projected to expand equator-ward in response to future climate conditions. Considerable discrepancy in predicted environmental suitability for L. camara among GCMs highlights the complexities of the likely effects of climate change on its potential distribution and the need to improve the reliability of predictions in novel climates.

Suggested Citation

  • Z. Qin & J. E. Zhang & A. DiTommaso & R. L. Wang & K. M. Liang, 2016. "Predicting the potential distribution of Lantana camara L. under RCP scenarios using ISI-MIP models," Climatic Change, Springer, vol. 134(1), pages 193-208, January.
  • Handle: RePEc:spr:climat:v:134:y:2016:i:1:d:10.1007_s10584-015-1500-5
    DOI: 10.1007/s10584-015-1500-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10584-015-1500-5
    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/s10584-015-1500-5?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. Estefany Goncalves & Ileana Herrera & Milén Duarte & Ramiro O Bustamante & Margarita Lampo & Grisel Velásquez & Gyan P Sharma & Shaenandhoa García-Rangel, 2014. "Global Invasion of Lantana camara: Has the Climatic Niche Been Conserved across Continents?," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-11, October.
    2. Toshihiko Masui & Kenichi Matsumoto & Yasuaki Hijioka & Tsuguki Kinoshita & Toru Nozawa & Sawako Ishiwatari & Etsushi Kato & P. Shukla & Yoshiki Yamagata & Mikiko Kainuma, 2011. "An emission pathway for stabilization at 6 Wm −2 radiative forcing," Climatic Change, Springer, vol. 109(1), pages 59-76, November.
    3. Camille Parmesan & Gary Yohe, 2003. "A globally coherent fingerprint of climate change impacts across natural systems," Nature, Nature, vol. 421(6918), pages 37-42, January.
    4. Joeri Rogelj & Malte Meinshausen & Reto Knutti, 2012. "Global warming under old and new scenarios using IPCC climate sensitivity range estimates," Nature Climate Change, Nature, vol. 2(4), pages 248-253, April.
    5. Geetha Ramaswami & Raman Sukumar, 2013. "Long-Term Environmental Correlates of Invasion by Lantana camara (Verbenaceae) in a Seasonally Dry Tropical Forest," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-7, October.
    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. Z. Qin & J. Zhang & A. DiTommaso & R. Wang & K. Liang, 2016. "Predicting the potential distribution of Lantana camara L. under RCP scenarios using ISI-MIP models," Climatic Change, Springer, vol. 134(1), pages 193-208, January.
    2. Katherine Dagon & Daniel P. Schrag, 2019. "Quantifying the effects of solar geoengineering on vegetation," Climatic Change, Springer, vol. 153(1), pages 235-251, March.
    3. D. Santillán & L. Garrote & A. Iglesias & V. Sotes, 2020. "Climate change risks and adaptation: new indicators for Mediterranean viticulture," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(5), pages 881-899, May.
    4. Richard Tol, 2011. "Regulating knowledge monopolies: the case of the IPCC," Climatic Change, Springer, vol. 108(4), pages 827-839, October.
    5. Cai, Yiyong & Newth, David & Finnigan, John & Gunasekera, Don, 2015. "A hybrid energy-economy model for global integrated assessment of climate change, carbon mitigation and energy transformation," Applied Energy, Elsevier, vol. 148(C), pages 381-395.
    6. Ding, Yimin & Wang, Weiguang & Song, Ruiming & Shao, Quanxi & Jiao, Xiyun & Xing, Wanqiu, 2017. "Modeling spatial and temporal variability of the impact of climate change on rice irrigation water requirements in the middle and lower reaches of the Yangtze River, China," Agricultural Water Management, Elsevier, vol. 193(C), pages 89-101.
    7. Anne Goodenough & Adam Hart, 2013. "Correlates of vulnerability to climate-induced distribution changes in European avifauna: habitat, migration and endemism," Climatic Change, Springer, vol. 118(3), pages 659-669, June.
    8. Francesca Pilotto & Ingolf Kühn & Rita Adrian & Renate Alber & Audrey Alignier & Christopher Andrews & Jaana Bäck & Luc Barbaro & Deborah Beaumont & Natalie Beenaerts & Sue Benham & David S. Boukal & , 2020. "Meta-analysis of multidecadal biodiversity trends in Europe," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    9. Wesley R. Brooks & Stephen C. Newbold, 2013. "Ecosystem damages in integrated assessment models of climate change," NCEE Working Paper Series 201302, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Mar 2013.
    10. Speers, Ann E. & Besedin, Elena Y. & Palardy, James E. & Moore, Chris, 2016. "Impacts of climate change and ocean acidification on coral reef fisheries: An integrated ecological–economic model," Ecological Economics, Elsevier, vol. 128(C), pages 33-43.
    11. Hao Wang & Guohua Liu & Zongshan Li & Xin Ye & Bojie Fu & Yihe Lü, 2017. "Analysis of the Driving Forces in Vegetation Variation in the Grain for Green Program Region, China," Sustainability, MDPI, vol. 9(10), pages 1-14, October.
    12. Fabina, Nicholas S. & Abbott, Karen C. & Gilman, R.Tucker, 2010. "Sensitivity of plant–pollinator–herbivore communities to changes in phenology," Ecological Modelling, Elsevier, vol. 221(3), pages 453-458.
    13. Xiumei Wang & Jianjun Dong & Taogetao Baoyin & Yuhai Bao, 2019. "Estimation and Climate Factor Contribution of Aboveground Biomass in Inner Mongolia’s Typical/Desert Steppes," Sustainability, MDPI, vol. 11(23), pages 1-15, November.
    14. Anna Yusa & Peter Berry & June J.Cheng & Nicholas Ogden & Barrie Bonsal & Ronald Stewart & Ruth Waldick, 2015. "Climate Change, Drought and Human Health in Canada," IJERPH, MDPI, vol. 12(7), pages 1-54, July.
    15. A. Ogden & J. Innes, 2008. "Climate change adaptation and regional forest planning in southern Yukon, Canada," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 13(8), pages 833-861, October.
    16. Ye, Qing & Yang, Xiaoguang & Dai, Shuwei & Chen, Guangsheng & Li, Yong & Zhang, Caixia, 2015. "Effects of climate change on suitable rice cropping areas, cropping systems and crop water requirements in southern China," Agricultural Water Management, Elsevier, vol. 159(C), pages 35-44.
    17. Brandt, Laura A. & Benscoter, Allison M. & Harvey, Rebecca & Speroterra, Carolina & Bucklin, David & Romañach, Stephanie S. & Watling, James I. & Mazzotti, Frank J., 2017. "Comparison of climate envelope models developed using expert-selected variables versus statistical selection," Ecological Modelling, Elsevier, vol. 345(C), pages 10-20.
    18. Prem B. Parajuli & Priyantha Jayakody & Ying Ouyang, 2018. "Evaluation of Using Remote Sensing Evapotranspiration Data in SWAT," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(3), pages 985-996, February.
    19. 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.
    20. Malone, Thomas C. & DiGiacomo, Paul M. & Gonçalves, Emanuel & Knap, Anthony H. & Talaue-McManus, Liana & de Mora, Stephen, 2014. "A global ocean observing system framework for sustainable development," Marine Policy, Elsevier, vol. 43(C), pages 262-272.

    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:134:y:2016:i:1:d:10.1007_s10584-015-1500-5. 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.