Soberón Jorge, Peterson A Townsend
Instituto de Ecología, National University of Mexico and Comisión Nacional de Biodiversidad, México, Periférico-Insurgentes 4903, Tlalpan, 14010 DF, Mexico.
Philos Trans R Soc Lond B Biol Sci. 2004 Apr 29;359(1444):689-98. doi: 10.1098/rstb.2003.1439.
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.
最近,信息技术的进步以及人们对共享原始生物多样性数据意愿的增强,使得人们能够以前所未有的方式获取这些数据。通过若干算法将物种数据的存在信息与电子制图相结合,现在可以在比几年前高1至3个数量级的分辨率上,估算物种的生态位及其分布区域,这变得切实可行。文中展示了该技术强大功能的一些实例。要使该方法发挥作用,必须克服诸如缺乏高质量分类鉴定、数据精确地理定位以及相关类群高质量和最新分类处理的可用性等限制。本文将对这些限制进行讨论,并就这些生物多样性信息学技术的潜力发表评论,这些技术不仅可用于基础研究,而且对于发展中国家而言,也是一种以实际方式应用先进生物信息学方法和大量数据来解决生物多样性管理问题的途径。