Overview
sdmclimateforecasts began as part of NOAA Fisheries’ Changing Ecosystems and Fisheries Initiative (CEFI) and is a collaboration of code and modeling among researchers at NOAA, University of California Santa Cruz and Davis, and University of Washington.
Our OBJECTIVE is to produce a framework to evaluate and communicate skill of forecast models that integrate ecological processes for use in operational ecosystem-based fisheries management. The code in this repository supports the production of species distribution models (SDMs) with the intent of creating forecast products for three spatial case study applications:
- An index of anchovy availability to support evaluations of California sea lion breeding success in the Southern California Bight (see Fennie et al. 2023 for details)
- A habitat model of swordfish distribution based on West Coast drift gillnet fishery catches
- An index of risk of Pacific sardine bycatch in the Pacific mackerel fishery
Our AIMS are to:
- Assess the forecast skill of SDMs using NOAA’s Physical Sciences Laboratory MOM6 and other oceanographic products
- Create a generalized skill assessment framework for use within the West Coast CEFI Decision Support Team and beyond
- Communicate confidence in forecast model products at various spatiotemporal scales
Installation
You can install the development version from GitHub via:
# install.packages("devtools)
devtools::install_github("JessicaBolin/sdmclimateforecasts")Getting help
There are two main places to get help with sdmclimateforecasts:
Email the package maintainer directly at jabbolin(at)ucdavis(dot)edu.
Submit an Issue via the GitHub repository.