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mMWeb - An Online Platform for Employing Multiple Ecological Niche Modeling Algorithms

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  • Huijie Qiao
  • Congtian Lin
  • Liqiang Ji
  • Zhigang Jiang

Abstract

Background: Predicting the ecological niche and potential habitat distribution of a given organism is one of the central domains of ecological and biogeographical research. A wide variety of modeling techniques have been developed for this purpose. In order to implement these models, the users must prepare a specific runtime environment for each model, learn how to use multiple model platforms, and prepare data in a different format each time. Additionally, often model results are difficult to interpret, and a standardized method for comparing model results across platforms does not exist. We developed a free and open source online platform, the multi-models web-based (mMWeb) platform, to address each of these problems, providing a novel environment in which the user can implement and compare multiple ecological niche model (ENM) algorithms. Methodology: mMWeb combines 18 existing ENMs and their corresponding algorithms and provides a uniform procedure for modeling the potential habitat niche of a species via a common web browser. mMWeb uses Java Native Interface (JNI), Java R Interface to combine the different ENMs and executes multiple tasks in parallel on a super computer. The cross-platform, user-friendly interface of mMWeb simplifies the process of building ENMs, providing an accessible and efficient environment from which to explore and compare different model algorithms.

Suggested Citation

  • Huijie Qiao & Congtian Lin & Liqiang Ji & Zhigang Jiang, 2012. "mMWeb - An Online Platform for Employing Multiple Ecological Niche Modeling Algorithms," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-7, August.
    • Handle: RePEc:plo:pone00:0043327
    DOI: 10.1371/journal.pone.0043327
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    References listed on IDEAS

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    1. repec:asg:wpaper:1015 is not listed on IDEAS
    2. 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.
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    1. Pingping Tian & Yifu Liu & Mingzhen Sui & Jing Ou, 2022. "Prediction of Potential Habitats of Zanthoxylum armatum DC. and Their Changes under Climate Change," Sustainability, MDPI, vol. 14(19), pages 1-14, September.

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