IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v222y2011i12p2011-2018.html
   My bibliography  Save this article

Ecological niche similarities of Peponapis bees and non-domesticated Cucurbita species

Author

Listed:
  • Giannini, T.C.
  • Lira-Saade, R.
  • Ayala, R.
  • Saraiva, A.M.
  • Alves-dos-Santos, I.

Abstract

Peponapis bees are considered specialized pollinators of Cucurbita flowers, a genus that presents several species of economic value (squashes and pumpkins). Both genera originated in the Americas, and their diversity dispersion center is in Mexico. Ten species of Peponapis and ten species of Cucurbita (only non-domesticated species) were analyzed considering the similarity of their ecological niche characteristics with respect to climatic conditions of their occurrence areas (abiotic variables) and interactions between species (biotic variables). The similarity of climatic conditions (temperature and precipitation) was estimated through cluster analyses. The areas of potential occurrence of the most similar species were obtained through ecological niche modeling and summed with geographic information system tools. Three main clusters were obtained: one with species that shared potential occurrence areas mainly in deserts (P. pruinosa, P. timberlakei, C. digitata, C. palmata, C. foetidissima), another in moist forests (P. limitaris, P. atrata, C. lundelliana, C. o. martinezii) and a third mainly in dry forests (C. a. sororia, C. radicans, C. pedatifolia, P. azteca, P. smithi, P. crassidentata, P. utahensis). Some species with similar ecological niche presented potential shared areas that are also similar to their geographical distribution, like those occurring predominantly on deserts. However, some clustered species presented larger geographical areas, such as P. pruinosa and C. foetidissima suggesting other drivers than climatic conditions to shape their distributions. The domestication of Cucurbita and also the natural history of both genera were considered also as important factors.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:12:p:2011-2018
    DOI: 10.1016/j.ecolmodel.2011.03.031
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380011001682
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2011.03.031?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Sweeney, A.W. & Beebe, N.W. & Cooper, R.D., 2007. "Analysis of environmental factors influencing the range of anopheline mosquitoes in northern Australia using a genetic algorithm and data mining methods," Ecological Modelling, Elsevier, vol. 203(3), pages 375-386.
    2. Rebecca S Levine & ATownsend Peterson & Krista L Yorita & Darin Carroll & Inger K Damon & Mary G Reynolds, 2007. "Ecological Niche and Geographic Distribution of Human Monkeypox in Africa," PLOS ONE, Public Library of Science, vol. 2(1), pages 1-7, January.
    3. Peterson, A. Townsend & Papeş, Monica & Soberón, Jorge, 2008. "Rethinking receiver operating characteristic analysis applications in ecological niche modeling," Ecological Modelling, Elsevier, vol. 213(1), pages 63-72.
    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. Diana Elena Vizitiu & Ionela-Daniela Sardarescu & Elena Cocuta Buciumeanu & Ionela-Cătălina Guta & Lucian Dincă & Flavius Bălăcenoiu & Dragoș Toma & Vlad Crișan & Alin Din, 2023. "The Influence of Groves on Aboveground Arthropod Diversity and Evolution in a Vineyard in Southern Romania," Sustainability, MDPI, vol. 15(23), pages 1-19, December.
    2. 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.

    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. Václavík, Tomáš & Meentemeyer, Ross K., 2009. "Invasive species distribution modeling (iSDM): Are absence data and dispersal constraints needed to predict actual distributions?," Ecological Modelling, Elsevier, vol. 220(23), pages 3248-3258.
    2. Haoxiang Zhao & Shanqing Yi & Yu Zhang & Nianwan Yang & Jianyang Guo & Hongmei Li & Xiaoqing Xian & Wanxue Liu, 2024. "Estimating the Optimal Control Areas of Two Classical Biocontrol Agents Against the Fall Armyworm Based on Hotspot Matching Analysis," Agriculture, MDPI, vol. 14(12), pages 1-14, December.
    3. Ramos, Rodrigo Soares & Kumar, Lalit & Shabani, Farzin & Picanço, Marcelo Coutinho, 2019. "Risk of spread of tomato yellow leaf curl virus (TYLCV) in tomato crops under various climate change scenarios," Agricultural Systems, Elsevier, vol. 173(C), pages 524-535.
    4. Lin, Yu-Pin & Wang, Cheng-Long & Yu, Hsiao-Hsuan & Huang, Chung-Wei & Wang, Yung-Chieh & Chen, Yu-Wen & Wu, Wei-Yao, 2011. "Monitoring and estimating the flow conditions and fish presence probability under various flow conditions at reach scale using genetic algorithms and kriging methods," Ecological Modelling, Elsevier, vol. 222(3), pages 762-775.
    5. Martín, Gerardo & Yáñez-Arenas, Carlos & Chiappa-Carrara, Xavier, 2022. "Discrepancies between point process models and environmental envelopes identify the niche centroid – geography configuration," Ecological Modelling, Elsevier, vol. 469(C).
    6. Soria-Auza, Rodrigo W. & Kessler, Michael & Bach, Kerstin & Barajas-Barbosa, Paola M. & Lehnert, Marcus & Herzog, Sebastian K. & Böhner, Jürgen, 2010. "Impact of the quality of climate models for modelling species occurrences in countries with poor climatic documentation: a case study from Bolivia," Ecological Modelling, Elsevier, vol. 221(8), pages 1221-1229.
    7. Yinglian Qi & Xiaoyan Pu & Yaxiong Li & Dingai Li & Mingrui Huang & Xuan Zheng & Jiaxin Guo & Zhi Chen, 2022. "Prediction of Suitable Distribution Area of Plateau pika ( Ochotona curzoniae ) in the Qinghai–Tibet Plateau under Shared Socioeconomic Pathways (SSPs)," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
    8. Carlos Yañez-Arenas & A. Townsend Peterson & Karla Rodríguez-Medina & Narayani Barve, 2016. "Mapping current and future potential snakebite risk in the new world," Climatic Change, Springer, vol. 134(4), pages 697-711, February.
    9. Daniela Remolina-Figueroa & David A. Prieto-Torres & Wesley Dáttilo & Ernesto Salgado Díaz & Laura E. Nuñez Rosas & Claudia Rodríguez-Flores & Adolfo G. Navarro-Sigüenza & María del Coro Arizmendi, 2022. "Together forever? Hummingbird-plant relationships in the face of climate warming," Climatic Change, Springer, vol. 175(1), pages 1-21, November.
    10. repec:plo:pone00:0025145 is not listed on IDEAS
    11. Herkt, K. Matthias B. & Barnikel, Günter & Skidmore, Andrew K. & Fahr, Jakob, 2016. "A high-resolution model of bat diversity and endemism for continental Africa," Ecological Modelling, Elsevier, vol. 320(C), pages 9-28.
    12. Huihui Zhang & Xiao Sun & Guoshuai Zhang & Xinke Zhang & Yujing Miao & Min Zhang & Zhan Feng & Rui Zeng & Jin Pei & Linfang Huang, 2022. "Potential Global Distribution of the Habitat of Endangered Gentiana rhodantha Franch : Predictions Based on MaxEnt Ecological Niche Modeling," Sustainability, MDPI, vol. 15(1), pages 1-22, December.
    13. Goodbody, Tristan R.H. & Coops, Nicholas C. & Srivastava, Vivek & Parsons, Bethany & Kearney, Sean P. & Rickbeil, Gregory J.M. & Stenhouse, Gordon B., 2021. "Mapping recreation and tourism use across grizzly bear recovery areas using social network data and maximum entropy modelling," Ecological Modelling, Elsevier, vol. 440(C).
    14. Zhenan Jin & Wentao Yu & Haoxiang Zhao & Xiaoqing Xian & Kaiting Jing & Nianwan Yang & Xinmin Lu & Wanxue Liu, 2022. "Potential Global Distribution of Invasive Alien Species, Anthonomus grandis Boheman, under Current and Future Climate Using Optimal MaxEnt Model," Agriculture, MDPI, vol. 12(11), pages 1-14, October.
    15. Sutton, G.F. & Martin, G.D., 2022. "Testing MaxEnt model performance in a novel geographic region using an intentionally introduced insect," Ecological Modelling, Elsevier, vol. 473(C).
    16. Parolo, Gilberto & Ferrarini, Alessandro & Rossi, Graziano, 2009. "Optimization of tourism impacts within protected areas by means of genetic algorithms," Ecological Modelling, Elsevier, vol. 220(8), pages 1138-1147.
    17. Carlos Yañez-Arenas & A Townsend Peterson & Pierre Mokondoko & Octavio Rojas-Soto & Enrique Martínez-Meyer, 2014. "The Use of Ecological Niche Modeling to Infer Potential Risk Areas of Snakebite in the Mexican State of Veracruz," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-9, June.
    18. Marianna V. P. Simões & Hanieh Saeedi & Marlon E. Cobos & Angelika Brandt, 2021. "Environmental matching reveals non-uniform range-shift patterns in benthic marine Crustacea," Climatic Change, Springer, vol. 168(3), pages 1-20, October.
    19. David Makowski & Murthy Narasimha Mittinty, 2010. "Comparison of Scoring Systems for Invasive Pests Using ROC Analysis and Monte Carlo Simulations," Risk Analysis, John Wiley & Sons, vol. 30(6), pages 906-915, June.
    20. Minerva Singh & Jessamine Badcock-Scruton & C. Matilda Collins, 2021. "What Will Remain? Predicting the Representation in Protected Areas of Suitable Habitat for Endangered Tropical Avifauna in Borneo under a Combined Climate- and Land-Use Change Scenario," Sustainability, MDPI, vol. 13(5), pages 1-14, March.
    21. Yoshinori Nakazawa & R Ryan Lash & Darin S Carroll & Inger K Damon & Kevin L Karem & Mary G Reynolds & Jorge E Osorio & Tonie E Rocke & Jean M Malekani & Jean-Jacques Muyembe & Pierre Formenty & A Tow, 2013. "Mapping Monkeypox Transmission Risk through Time and Space in the Congo Basin," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-9, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:eee:ecomod:v:222:y:2011:i:12:p:2011-2018. 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.