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Biodiversity informatics: managing and applying primary biodiversity data.

机译:生物多样性信息学:管理和应用主要的生物多样性数据。

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摘要

Recently, advances in information technology and an increased willingness to share primary biodiversity data are enabling unprecedented access to it. By combining presences of species data with electronic cartography via a number of algorithms, estimating niches of species and their areas of distribution becomes feasible at resolutions one to three orders of magnitude higher than it was possible a few years ago. Some examples of the power of that technique are presented. For the method to work, limitations such as lack of high-quality taxonomic determination, precise georeferencing of the data and availability of high-quality and updated taxonomic treatments of the groups must be overcome. These are discussed, together with comments on the potential of these biodiversity informatics techniques not only for fundamental studies but also as a way for developing countries to apply state of the art bioinformatic methods and large quantities of data, in practical ways, to tackle issues of biodiversity management.
机译:最近,信息技术的进步以及共享主要生物多样性数据的意愿日益增强,这使得人们能够前所未有地获取它。通过使用多种算法将物种数据的存在与电子制图相结合,以比几年前高出一到三个数量级的分辨率估算物种的生态位及其分布区域变得可行。展示了该技术的强大功能的一些示例。为了使该方法起作用,必须克服诸如缺乏高质量的分类学确定,数据的精确地理配准以及可获得高质量和最新的分类学治疗方法等局限性的局限性。讨论了这些内容,并就这些生物多样性信息技术的潜力进行了评论,这些技术不仅可用于基础研究,而且可作为发展中国家以实际方式应用最先进的生物信息学方法和大量数据来解决生物多样性问题的方式。生物多样性管理。

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