{sdmclimateforecasts}

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")

Usage

Check the Getting Started article to see examples of how to deploy these functions.

Citation

Here is the full bibliographic reference:

insert citation

Getting help

There are two main places to get help with {sdmclimateforecasts}:

1. Email the package maintainer directly at jabbolin(at)ucdavis(dot)edu.

2. Submit an Issue via the GitHub repository.