Skip to main content
Journal cover image

Data integration for conservation: Leveraging multiple data types to advance ecological assessments and habitat modeling for marine megavertebrates using OBIS-SEAMAP

Publication ,  Journal Article
Fujioka, E; Kot, CY; Wallace, BP; Best, BD; Moxley, J; Cleary, J; Donnelly, B; Halpin, PN
Published in: Ecological Informatics
March 1, 2014

Spatially explicit conservation efforts to identify, designate, and prioritize protected areas or biologically significant areas require analyses beyond basic species distribution and abundance studies, including assessments of migration patterns, habitat use, and ecological drivers of behavior. With the advent of alternate survey methods and platforms within the marine environment (e.g. satellite telemetry, passive acoustics, photo identification, nesting site monitoring and genetic sampling) in addition to traditional shipboard or aerial visual surveys, researchers have been developing novel analytical and modeling methodologies to fulfill such in-depth ecological assessments. This trend has raised interests and needs not only in filling spatial, temporal and 'ecological' gaps but also in the synthesis of these disparate data from multiple methods/platforms. OBIS-SEAMAP, a thematic node of the Ocean Biogeographic Information System (OBIS) specializing on marine megavertebrates, takes a unique approach to data integration into the OBIS-SEAMAP database to enable novel applications of a global biogeographic database. In this paper, we summarize our efforts to accomplish this integration and to develop novel mapping and visualization tools available on the OBIS-SEAMAP web site. We also discuss advantages and implications of an integrated database in advancing ecological assessments and modeling efforts based on preliminary assessments of the OBIS-SEAMAP data and derived products. Finally, we make critical suggestions for the design and function of biogeographic databases to make contributed data more useful for conservation efforts. © 2014 Elsevier B.V.

Duke Scholars

Published In

Ecological Informatics

DOI

ISSN

1574-9541

Publication Date

March 1, 2014

Volume

20

Start / End Page

13 / 26

Related Subject Headings

  • Ecology
  • 46 Information and computing sciences
  • 31 Biological sciences
  • 08 Information and Computing Sciences
  • 06 Biological Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Fujioka, E., Kot, C. Y., Wallace, B. P., Best, B. D., Moxley, J., Cleary, J., … Halpin, P. N. (2014). Data integration for conservation: Leveraging multiple data types to advance ecological assessments and habitat modeling for marine megavertebrates using OBIS-SEAMAP. Ecological Informatics, 20, 13–26. https://doi.org/10.1016/j.ecoinf.2014.01.003
Fujioka, E., C. Y. Kot, B. P. Wallace, B. D. Best, J. Moxley, J. Cleary, B. Donnelly, and P. N. Halpin. “Data integration for conservation: Leveraging multiple data types to advance ecological assessments and habitat modeling for marine megavertebrates using OBIS-SEAMAP.” Ecological Informatics 20 (March 1, 2014): 13–26. https://doi.org/10.1016/j.ecoinf.2014.01.003.
Fujioka E, Kot CY, Wallace BP, Best BD, Moxley J, Cleary J, et al. Data integration for conservation: Leveraging multiple data types to advance ecological assessments and habitat modeling for marine megavertebrates using OBIS-SEAMAP. Ecological Informatics. 2014 Mar 1;20:13–26.
Fujioka, E., et al. “Data integration for conservation: Leveraging multiple data types to advance ecological assessments and habitat modeling for marine megavertebrates using OBIS-SEAMAP.” Ecological Informatics, vol. 20, Mar. 2014, pp. 13–26. Scopus, doi:10.1016/j.ecoinf.2014.01.003.
Fujioka E, Kot CY, Wallace BP, Best BD, Moxley J, Cleary J, Donnelly B, Halpin PN. Data integration for conservation: Leveraging multiple data types to advance ecological assessments and habitat modeling for marine megavertebrates using OBIS-SEAMAP. Ecological Informatics. 2014 Mar 1;20:13–26.
Journal cover image

Published In

Ecological Informatics

DOI

ISSN

1574-9541

Publication Date

March 1, 2014

Volume

20

Start / End Page

13 / 26

Related Subject Headings

  • Ecology
  • 46 Information and computing sciences
  • 31 Biological sciences
  • 08 Information and Computing Sciences
  • 06 Biological Sciences