forgot to update the abstract

Author: Sean Lucey

vignettes/WGSAM/WGSAM.Rmd

@@ -14,7 +14,7 @@ affiliation:
       166 Water Street, Woods Hole, MA 02543
 bibliography: GBRpathBib.bib
 abstract: |
-  Georges Bank is a highly productive region of the Northeast US Continental Shelf Large Marine Ecosystem.  Its unique physical properties make it ideal for ecosystem-based fisheries management which is inherently place-based.  In order to evaluate ecosystem-based strategies there will need to be a management strategy evaluation procedure undertaken.  As part of this procedure various operating models will need to be developed to account for the various uncertainty in the system.  Mass balance models offer many of the characteristics that would benefit an ecosystem-level management strategy evaluation.  Existing mass balance models in the region are either too aggregated at both the species and fleet level or not geographically specified to Georges Bank.  Here we describe a new mass balance model for Georges Bank built using Rpath, the R implementation of the mass balance algorithms.  Our model has 69 groups including 57 living groups, 2 detrital groups, and 10 fleets.  It describes a system that is highly productive and inter-connected. The package in which it was built, Rpath, is flexible and should allow for the model to be tailored to address specific management questions, an important feature as management timeline tend to be more accelerated than model development horizons.
+  Georges Bank is a highly productive region of the Northeast US Continental Shelf Large Marine Ecosystem.  Its unique physical properties make it ideal for ecosystem-based fisheries management which is inherently place-based.  In order to evaluate ecosystem-based strategies there will need to be a management strategy evaluation procedure undertaken.  As part of this procedure various operating models will need to be developed to account for the various uncertainty in the system.  Mass balance models offer many of the characteristics that would benefit an ecosystem-level management strategy evaluation.  Existing mass balance models in the region are either too aggregated at both the species and fleet level or not geographically specified to Georges Bank.  Here we describe a new mass balance model for Georges Bank built using Rpath, the R implementation of the mass balance algorithms.  Our model has 71 groups including 69 living groups, 2 detrital groups, and 10 fleets.  It describes a system that is highly productive and inter-connected. The package in which it was built, Rpath, is flexible and should allow for the model to be tailored to address specific management questions, an important feature as management timeline tend to be more accelerated than model development horizons.
 keywords: |
   Rpath; mass balance; Georges Bank; EBFM
 header-includes: |