©2020 Biological and Chemical Oceanography Data Management Office.Funded by the U.S. National Science Foundation
©2020 Biological and Chemical Oceanography Data Management Office.[2017-08-28]: The metadata for this dataset page is in progress.
R code and associated data for a size-based, spatially explicit, stochastic demographic model to explore how different spatial configurations of marine reserve (MR) networks can affect the abundance and commercial yield of the green abalone (Haliotis fulgens), taking as a reference case the abalone fishery of Isla Natividad in Baja California Sur (Mexico).
The model code is available in as .zip file: Rossetto_etal_2015_CJFAS-1.0.zip containing R-files. These files are also available in the following GitHub repository: Rossetto_etal_2015_CJFAS (release 1.0).
The model and results were described in the following publication:
Rossetto, M., Micheli, F., Saenz-Arroyo, A., Montes, J. A. E., & De Leo, G. A. (2015). No-take marine reserves can enhance population persistence and support the fishery of abalone. Canadian Journal of Fisheries and Aquatic Sciences, 72(10), 1503-1517. https://doi.org/10.1139/cjfas-2013-0623
De Leo, G. A., Barry, J. P., Woodson, C. B., Monismith, S. G. () Size-based, spatially explicit, stochastic demographic model for green abalone. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version ) Version Date [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/713989 [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.