Discovering Ecologically Relevant Knowledge from Published Studies through Geosemantic Searching

Jason W. Karl; Jeffrey E. Herrick; Robert S. Unnasch; Jeffrey K. Gillan; Erle C. Ellis; Wayne G. Lutters; Laura J. Martin

doi:10.1525/bio.2013.63.8.10

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1 August 2013 Discovering Ecologically Relevant Knowledge from Published Studies through Geosemantic Searching

Jason W. Karl, Jeffrey E. Herrick, Robert S. Unnasch, Jeffrey K. Gillan, Erle C. Ellis, Wayne G. Lutters, Laura J. Martin

Author Affiliations +

Jason W. Karl,^* Jeffrey E. Herrick,^* Robert S. Unnasch,^** Jeffrey K. Gillan,^*** Erle C. Ellis,^**** Wayne G. Lutters,^**** Laura J. Martin^*****

^*Jason W. Karl (jkarl@nmsu.edu) is a research ecologist and Jeffrey E. Herrick is a soil scientist with the US Department of Agriculture Agricultural Research Service's Jornada Experimental Range, in Las Cruces, New Mexico.
^**Robert S. Unnasch is the director of science for the Idaho Chapter of The Nature Conservancy in Boise, Idaho.
^***Jeffrey K. Gillan is a college assistant professor with the Jornada Experimental Range at New Mexico State University, in Las Cruces.
^****Erle C. Ellis is an associate professor in the Department of Geography and Environmental Systems and Wayne G. Lutters is an associate professor in the Department of Information Systems at the University of Maryland, Baltimore County, in Baltimore.
^*****Laura J. Martin is a National Science Foundation graduate fellow with the Department of Natural Resources at Cornell University, in Ithaca, New York.

BioScience, 63(8):674-682 (2013). https://doi.org/10.1525/bio.2013.63.8.10

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Abstract

It is easier to search the globe for research on the genes of a local plant than it is to find local research on that plant's ecology. As a result, ecologists are often unaware of published local research and unlikely to find relevant studies from similar environments worldwide. Location information in ecological studies can be harnessed to enable geographic knowledge searches and could be standardized to make searches more fruitful. To demonstrate this potential, we developed the Journal Map Web site ( www.journalmap.org ). Easy access to geographic distributions of knowledge opens new possibilities for using ecological research to detect and interpret ecological patterns, evaluate current ecological knowledge, and facilitate knowledge creation. We call on journals and publishers to support standard reporting of study locations in publications and metadata, and we advocate georeferencing past studies.

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Jason W. Karl, Jeffrey E. Herrick, Robert S. Unnasch, Jeffrey K. Gillan, Erle C. Ellis, Wayne G. Lutters, and Laura J. Martin "Discovering Ecologically Relevant Knowledge from Published Studies through Geosemantic Searching," BioScience 63(8), 674-682, (1 August 2013). https://doi.org/10.1525/bio.2013.63.8.10

Published: 1 August 2013

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BioScience
Vol. 63 • No. 8
August 2013

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georeferencing

knowledge discovery

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semantic search

spatial distribution

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Jason W. Karl, Jeffrey E. Herrick, Robert S. Unnasch, Jeffrey K. Gillan, Erle C. Ellis, Wayne G. Lutters, Laura J. Martin "Discovering Ecologically Relevant Knowledge from Published Studies through Geosemantic Searching," BioScience, 63(8), 674-682, (1 August 2013)

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