Suppr超能文献

基于博物馆的信息学新进展及其在生物多样性分析中的应用。

New developments in museum-based informatics and applications in biodiversity analysis.

作者信息

Graham Catherine H, Ferrier Simon, Huettman Falk, Moritz Craig, Peterson A Townsend

机构信息

Department of Ecology and Evolution, 650 Life Sciences Building, Stony Brook University, NY 11794, USA.

出版信息

Trends Ecol Evol. 2004 Sep;19(9):497-503. doi: 10.1016/j.tree.2004.07.006.

Abstract

Information from natural history collections (NHCs) about the diversity, taxonomy and historical distributions of species worldwide is becoming increasingly available over the Internet. In light of this relatively new and rapidly increasing resource, we critically review its utility and limitations for addressing a diverse array of applications. When integrated with spatial environmental data, NHC data can be used to study a broad range of topics, from aspects of ecological and evolutionary theory, to applications in conservation, agriculture and human health. There are challenges inherent to using NHC data, such as taxonomic inaccuracies and biases in the spatial coverage of data, which require consideration. Promising research frontiers include the integration of NHC data with information from comparative genomics and phylogenetics, and stronger connections between the environmental analysis of NHC data and experimental and field-based tests of hypotheses.

摘要

世界各地自然历史标本馆(NHCs)所提供的关于物种多样性、分类学及历史分布的信息,正通过互联网越来越多地获取。鉴于这一相对较新且迅速增长的资源,我们审慎地审视了其在处理一系列不同应用方面的效用和局限性。当与空间环境数据相结合时,NHC数据可用于研究广泛的主题,从生态和进化理论的各个方面,到保护、农业和人类健康领域的应用。使用NHC数据存在一些固有挑战,比如分类学不准确以及数据空间覆盖方面的偏差,这些都需要加以考虑。有前景的研究前沿包括将NHC数据与比较基因组学和系统发育学的信息整合,以及加强NHC数据的环境分析与假设的实验性和实地检验之间的联系。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验