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Seeking the flowers for the bees: Integrating biotic interactions into niche models to assess the distribution of the exotic bee species Lithurgus huberi in South America

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  • Silva, Daniel P.
  • Gonzalez, Victor H.
  • Melo, Gabriel A.R.
  • Lucia, Mariano
  • Alvarez, Leopoldo J.
  • De Marco, Paulo

Abstract

The wood-boring bee Lithurgus huberi Ducke (Apidae: Megachilinae: Lithurgini) is arguably an exotic species to South America. This solitary bee is the only representative in the Western Hemisphere of the Old World genus Lithurgus, and likely a conspecific with the Indo-Australian species Lithurgus atratus. L. huberi appears to have reached the continent at least 100 years ago, when it was discovered and described. Because this species seems to be oligolectic on pollen of Convolvulaceae flowers in South America, we attempted to integrate this biotic interaction (plant–bee relationships) to our species distribution model (SDM) procedures to predict its potential distribution in South America. The modeled distribution of seven L. huberi's host plant species did not improve the algorithms’ ability to predict its distribution, but it produced constrained ranges. These results suggest that our biotic variables are not independent of the abiotic variables used (mostly related to climate). We employed five modeling algorithms, Envelope Score, GARP, Mahalanobis Distance, Support Vector Machines, and MaxEnt, but only the former two showed a good performance when predicting the occurrence of both, the host plant species and L. huberi. Our results indicate that this exotic pollinator is mainly distributed in eastern, northeastern, central, and southwestern South America, with few suitable areas in the Amazon region. We also highlight suitable areas for future surveys and present new occurrence records.

Suggested Citation

  • Silva, Daniel P. & Gonzalez, Victor H. & Melo, Gabriel A.R. & Lucia, Mariano & Alvarez, Leopoldo J. & De Marco, Paulo, 2014. "Seeking the flowers for the bees: Integrating biotic interactions into niche models to assess the distribution of the exotic bee species Lithurgus huberi in South America," Ecological Modelling, Elsevier, vol. 273(C), pages 200-209.
    • Handle: RePEc:eee:ecomod:v:273:y:2014:i:c:p:200-209
    DOI: 10.1016/j.ecolmodel.2013.11.016
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    1. Christopher J. Raxworthy & Enrique Martinez-Meyer & Ned Horning & Ronald A. Nussbaum & Gregory E. Schneider & Miguel A. Ortega-Huerta & A. Townsend Peterson, 2003. "Predicting distributions of known and unknown reptile species in Madagascar," Nature, Nature, vol. 426(6968), pages 837-841, December.
    2. ,, 1999. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 15(3), pages 427-432, June.
    3. Giannini, T.C. & Pinto, C.E. & Acosta, A.L. & Taniguchi, M. & Saraiva, A.M. & Alves-dos-Santos, I., 2013. "Interactions at large spatial scale: The case of Centris bees and floral oil producing plants in South America," Ecological Modelling, Elsevier, vol. 258(C), pages 74-81.
    4. Giannini, T.C. & Lira-Saade, R. & Ayala, R. & Saraiva, A.M. & Alves-dos-Santos, I., 2011. "Ecological niche similarities of Peponapis bees and non-domesticated Cucurbita species," Ecological Modelling, Elsevier, vol. 222(12), pages 2011-2018.
    5. González-Salazar, Constantino & Stephens, Christopher R. & Marquet, Pablo A., 2013. "Comparing the relative contributions of biotic and abiotic factors as mediators of species’ distributions," Ecological Modelling, Elsevier, vol. 248(C), pages 57-70.
    6. ,, 1999. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 15(4), pages 629-637, August.
    7. ,, 1999. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 15(5), pages 777-788, October.
    8. ,, 1999. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 15(1), pages 151-160, February.
    9. 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.
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