Literature DB >> 22240191

Ecoinformatics: supporting ecology as a data-intensive science.

William K Michener1, Matthew B Jones.   

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.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 22240191     DOI: 10.1016/j.tree.2011.11.016

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  40 in total

1.  NeuralNetTools: Visualization and Analysis Tools for Neural Networks.

Authors:  Marcus W Beck
Journal:  J Stat Softw       Date:  2018       Impact factor: 6.440

2.  Why is data sharing in collaborative natural resource efforts so hard and what can we do to improve it?

Authors:  Carol J Volk; Yasmin Lucero; Katie Barnas
Journal:  Environ Manage       Date:  2014-03-07       Impact factor: 3.266

3.  Towards pesticide-free farming? Sharing needs and knowledge promotes Integrated Pest Management.

Authors:  Andrea Lucchi; Giovanni Benelli
Journal:  Environ Sci Pollut Res Int       Date:  2018-04-13       Impact factor: 4.223

4.  Foundational Principles for Large-Scale Inference: Illustrations Through Correlation Mining.

Authors:  Alfred O Hero; Bala Rajaratnam
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2015-12-21       Impact factor: 10.961

5.  Environmental proteomics, biodiversity statistics and food-web structure.

Authors:  Nicholas J Gotelli; Aaron M Ellison; Bryan A Ballif
Journal:  Trends Ecol Evol       Date:  2012-03-27       Impact factor: 17.712

6.  SISS-Geo: Leveraging Citizen Science to Monitor Wildlife Health Risks in Brazil.

Authors:  Marcia Chame; Helio J C Barbosa; Luiz M R Gadelha; Douglas A Augusto; Eduardo Krempser; Livia Abdalla
Journal:  J Healthc Inform Res       Date:  2019-07-03

7.  Challenges with using names to link digital biodiversity information.

Authors:  David Patterson; Dmitry Mozzherin; David Peter Shorthouse; Anne Thessen
Journal:  Biodivers Data J       Date:  2016-05-25

8.  Computational Population Biology: Linking the inner and outer worlds of organisms.

Authors:  Wayne M Getz
Journal:  Isr J Ecol Evol       Date:  2013-10-10       Impact factor: 0.559

9.  Provoking a Cultural Shift in Data Quality.

Authors:  Sarah E McCord; Nicholas P Webb; Justin W Van Zee; Sarah H Burnett; Erica M Christensen; Ericha M Courtright; Christine M Laney; Claire Lunch; Connie Maxwell; Jason W Karl; Amalia Slaughter; Nelson G Stauffer; Craig Tweedie
Journal:  Bioscience       Date:  2021-03-31       Impact factor: 8.589

10.  Combining community resurvey data to advance global change research.

Authors:  Kris Verheyen; Pieter De Frenne; Lander Baeten; Donald M Waller; Radim Hédl; Michael P Perring; Haben Blondeel; Jörg Brunet; Markéeta Chudomelova; Guillaume Decocq; Emiel De Lombaerde; Leen Depauw; Thomas Dirnböck; Tomasz Durak; Ove Eriksson; Frank S Gilliam; Thilo Heinken; Steffi Heinrichs; Martin Hermy; Bogdan Jaroszewicz; Michael A Jenkins; Sarah E Johnson; Keith J Kirby; Martin Kopecký; Dries Landuyt; Jonathan Lenoir; Daijiang Li; Martin Macek; Sybryn Maes; Frantisek Máliš; Fraser J G Mitchell; Tobias Naaf; George Peterken; Petr Petřík; Kamila Reczyńska; David A Rogers; Fride Hoistad Schei; Wolfgang Schmidt; Tibor Standovár; Krzystof Świerkosz; Karol Ujházy; Hans Van Calster; Mark Vellend; Ondřej Vild; Kerry Woods; Monika Wulf; Markus Bernhard-Römermann
Journal:  Bioscience       Date:  2016-12-21       Impact factor: 8.589

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