Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
PLoS One. 2012;7(8):e43327. doi: 10.1371/journal.pone.0043327. Epub 2012 Aug 17.
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.
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.
预测特定生物的生态位和潜在栖息地分布是生态和生物地理研究的核心领域之一。为此,已经开发了多种建模技术。为了实现这些模型,用户必须为每个模型准备特定的运行时环境,学习如何使用多个模型平台,并每次以不同的格式准备数据。此外,模型结果通常难以解释,并且跨平台比较模型结果的标准化方法并不存在。我们开发了一个免费的开源在线平台,多模型网络(mMWeb)平台,以解决这些问题,为用户提供了一个新颖的环境,可以在其中实现和比较多个生态位模型(ENM)算法。
mMWeb 结合了 18 种现有的 ENM 及其相应的算法,并通过通用的网络浏览器为物种的潜在栖息地生态位建模提供了统一的程序。mMWeb 使用 Java 本地接口(JNI)、Java R 接口将不同的 ENM 结合在一起,并在超级计算机上并行执行多个任务。mMWeb 的跨平台、用户友好的界面简化了构建 ENM 的过程,提供了一个易于访问和高效的环境,可用于探索和比较不同的模型算法。