Ecoinformatics: supporting ecology as a data-intensive science

被引:281
作者
Michener, William K. [1 ]
Jones, Matthew B. [2 ]
机构
[1] Univ New Mexico, Univ Lib, Albuquerque, NM 87131 USA
[2] Univ Calif Santa Barbara, Natl Ctr Ecol Anal & Synth, Santa Barbara, CA 93101 USA
基金
美国国家科学基金会;
关键词
BIOINFORMATICS; OPPORTUNITIES; MANAGEMENT; PROVENANCE; ONTOLOGY; WEB;
D O I
10.1016/j.tree.2011.11.016
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071301 [植物生态学];
摘要
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.
引用
收藏
页码:85 / 93
页数:9
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