Dataset: Collections of fish and invertebrates settled in artificial seagrass landscapes

ValidatedFinal no updates expectedDOI: 10.1575/1912/bco-dmo.784927.1Version 1 (2019-12-23)Dataset Type:Other Field Results

Principal Investigator: Lauren Yeager (University of Texas - Marine Science Institute)

Co-Principal Investigator: F. Joel Fodrie (University of North Carolina at Chapel Hill)

BCO-DMO Data Manager: Karen Soenen (Woods Hole Oceanographic Institution)

Project: Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms (Habitat Fragmentation)

Abstract

Collections of fish and invertebrates settles in artificial seagrass landscapes collected between June and August 2018

Cite Dataset

Collections of fish and invertebrates settles in artificial seagrass landscapes collected between June and August 2018.

Related Datasets

No Related Datasets

Related Publications

Methods
Ammann, A. J. (2004). SMURFs: standard monitoring units for the recruitment of temperate reef fishes. Journal of Experimental Marine Biology and Ecology, 299(2), 135–154. doi:10.1016/j.jembe.2003.08.014
Methods
Anderson, T. W., & Carr, M. H. (1998). Environmental Biology of Fishes, 51(1), 111–115. doi:10.1023/a:1007355408723
Methods
Saura, S., & Martínez-Millán, J. (2000). Landscape Ecology, 15(7), 661–678. doi:10.1023/a:1008107902848
Software
R Core Team (n.d.) R: A language and environment for statistical computing (R Foundation for Statistical Computing, Vienna, Austria).

Yeager, L., Fodrie, F. (2019) Collections of fish and invertebrates settled in artificial seagrass landscapes. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-12-23 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.784927.1 [access date]

Terms of Use

This dataset is licensed under Creative Commons Attribution 4.0.


If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.

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Funded by the U.S. National Science Foundation