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生态信息学:支持生态学成为数据密集型科学。

Ecoinformatics: supporting ecology as a data-intensive science.

机构信息

University Libraries, University of New Mexico, Albuquerque, NM 87131, USA.

出版信息

Trends Ecol Evol. 2012 Feb;27(2):85-93. doi: 10.1016/j.tree.2011.11.016. Epub 2012 Jan 10.

DOI:10.1016/j.tree.2011.11.016
PMID:22240191
Abstract

Ecology is evolving rapidly and increasingly changing into a more open, accountable, interdisciplinary, collaborative and data-intensive science. Discovering, integrating and analyzing massive amounts of heterogeneous data are central to ecology as researchers address complex questions at scales from the gene to the biosphere. Ecoinformatics offers tools and approaches for managing ecological data and transforming the data into information and knowledge. Here, we review the state-of-the-art and recent advances in ecoinformatics that can benefit ecologists and environmental scientists as they tackle increasingly challenging questions that require voluminous amounts of data across disciplines and scales of space and time. We also highlight the challenges and opportunities that remain.

摘要

生态学发展迅速,正逐渐演变为一门更加开放、负责、跨学科、协作和注重数据的科学。发现、整合和分析大量异质数据是生态学的核心,因为研究人员要在从基因到生物圈的各个尺度上解决复杂的问题。生态信息学为管理生态数据和将数据转化为信息和知识提供了工具和方法。在这里,我们回顾了生态信息学的最新进展和最新进展,这些进展可以使生态学家和环境科学家受益,因为他们需要处理跨学科和时空尺度的大量数据的日益具有挑战性的问题。我们还强调了仍然存在的挑战和机遇。

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