全球生物多样性信息学:为生态建模的“新世界”设置场景

V. Canhos, S. Souza, R. Giovanni, D. Canhos, B. Geraldo
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引用次数: 91

摘要

信息和通信技术的最新发展为生物多样性信息的整合、分析和可视化提供了新的体验,并导致生物多样性信息学这一新的研究领域的发展。尽管这一领域在包括基础生物学、人类经济学和公共卫生在内的各个领域都有巨大的潜力,但这种潜力仍有很大一部分有待探索。若干协调一致的国际努力的成功在很大程度上取决于广泛部署生物多样性信息学信息和产品。若干全球和区域努力正在为保护和可持续发展研究组织和提供数据,包括全球生物多样性信息设施、欧洲生物多样性信息网和美洲生物多样性信息网。这一领域发展的关键是建立生物多样性信息基础设施,使初级生物多样性数据可以在互联网上自由和公开地获得。除了标本和分类数据外,获取非生物环境数据对于生物多样性的空间分析和建模也至关重要。采用标准和协议,开发用于收集管理、数据清理、地理参考和建模工具的工具,正在实现该领域的巨大飞跃。研究数据的开放获取和开源工具正在引领空间生物多样性分析的网络服务和计算框架的新时代,为生态分析、预测建模、生物多样性信息的综合和可视化等新方法带来新的机遇和维度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GLOBAL BIODIVERSITY INFORMATICS: SETTING THE SCENE FOR A "NEW WORLD" OF ECOLOGICAL MODELING
Recent developments in information and communication technology are allowing new experiences in the integration, analysis and visualization of biodiversity information, and are leading to development of a new field of research, biodiversity informatics. Although this field has great potential in diverse realms, including basic biology, human economics, and public health, much of this potential remains to be explored. The success of several concerted international efforts depends largely on broad deployment of biodiversity informatics information and products. Several global and regional efforts are organizing and providing data for conservation and sustainable development research, including the Global Biodiversity Information Facility, the European Biodiversity Information Network, and the Inter-American Biodiversity Information Network. Critical to development of this field is building a biodiversity information infrastructure, making primary biodiversity data freely and openly available over the Internet. In addition to specimen and taxonomic data, access to non-biological environmental data is critical to spatial analysis and modeling of biodiversity. Adoption of standards and protocols and development of tools for collection management, data- cleaning, georeferencing, and modeling tools, are allowing a quantum leap in the area. Open access to research data and open-source tools are leading to a new era of web services and computational frameworks for spatial biodiversity analysis, bringing new opportunities and dimensions to novel approaches in ecological analysis, predictive modeling, and synthesis and visualization of biodiversity information.
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