WARC researchers partnered with managers and species experts to develop a Bayesian network model and a geospatial habitat characteristics dataset to predict the number of Brown Pelican breeding pairs on islands in the northern Gulf of Mexico.
The Science Issue and Relevance: Gulf restoration programs increasingly fund management actions designed to meet species’ needs. However, there is uncertainty about the ability of these management actions to achieve population objectives. This makes it difficult for managers to establish habitat objectives and translate them into the actions necessary to meet population objectives. Brown Pelicans (Pelecanus occidentalis) are species of conservation concern that form breeding colonies on islands in the U.S. Fish and Wildlife Service (USFWS) Northern Gulf of Mexico Biological Planning Units (BPU) (Fig. 1). Ten of the BPUs have Brown Pelican population objectives. Due to limited nesting habitat that is threatened by climate change as well as high desirability of these habitats by humans for infrastructure and recreation, conservation opportunities are limited and expensive. The project goal is to support strategic habitat conservation on the Gulf Coast by developing quantitative tools that can help establish Brown Pelican habitat objectives and the effort required to achieve them (i.e., management efficiency).
Methodology for Addressing the Issue: We partnered with managers and species experts to develop a Bayesian network model and a geospatial habitat characteristics dataset to predict the number of Brown Pelican breeding pairs on islands in each of the 10 target BPUs. The results suggested that current habitat is insufficient to meet population objectives in four BPUs. We used the model to identify specific management actions on specific islands, and we simulated opportunistic or targeted management of those islands until the population objective was met.
Future Steps: The results will be used to support Brown Pelican adaptive management by enabling managers to prioritize actions and determine the most efficient ways to meet recovery objectives. A peer-reviewed journal article will provide a detailed project description and the products will be made publicly available on ScienceBase.
Below are other science projects associated with this project.
Biological Objectives for the Gulf Coast: Biological Planning Units & Target Species Population Objectives
Strategic Habitat Conservation for Gulf Sturgeon
Strategic Habitat Conservation for Black Skimmer and Gull-billed Tern
Strategic Habitat Conservation for Beach Mice (Peromyscus polionotus ssp.)
Below are data or web applications associated with this project.
Data for Gulf Sturgeon Bayesian Network Model
Data for Beach Mice Bayesian Network Model
Biological planning units and aquatic extensions for the Gulf Coast
Below are publications associated with this project.
Identifying information gaps in predicting winter foraging habitat for juvenile Gulf Sturgeon
Strategic habitat conservation for beach mice: Estimating management scenario efficiencies
- Overview
WARC researchers partnered with managers and species experts to develop a Bayesian network model and a geospatial habitat characteristics dataset to predict the number of Brown Pelican breeding pairs on islands in the northern Gulf of Mexico.
Brown Pelican (U.S. Fish and Wildlife Service Ecological Services) The Science Issue and Relevance: Gulf restoration programs increasingly fund management actions designed to meet species’ needs. However, there is uncertainty about the ability of these management actions to achieve population objectives. This makes it difficult for managers to establish habitat objectives and translate them into the actions necessary to meet population objectives. Brown Pelicans (Pelecanus occidentalis) are species of conservation concern that form breeding colonies on islands in the U.S. Fish and Wildlife Service (USFWS) Northern Gulf of Mexico Biological Planning Units (BPU) (Fig. 1). Ten of the BPUs have Brown Pelican population objectives. Due to limited nesting habitat that is threatened by climate change as well as high desirability of these habitats by humans for infrastructure and recreation, conservation opportunities are limited and expensive. The project goal is to support strategic habitat conservation on the Gulf Coast by developing quantitative tools that can help establish Brown Pelican habitat objectives and the effort required to achieve them (i.e., management efficiency).
Fig 1. Study area. Biological planning units are outlined in black. Potential breeding colony locations are in red. Methodology for Addressing the Issue: We partnered with managers and species experts to develop a Bayesian network model and a geospatial habitat characteristics dataset to predict the number of Brown Pelican breeding pairs on islands in each of the 10 target BPUs. The results suggested that current habitat is insufficient to meet population objectives in four BPUs. We used the model to identify specific management actions on specific islands, and we simulated opportunistic or targeted management of those islands until the population objective was met.
Future Steps: The results will be used to support Brown Pelican adaptive management by enabling managers to prioritize actions and determine the most efficient ways to meet recovery objectives. A peer-reviewed journal article will provide a detailed project description and the products will be made publicly available on ScienceBase.
- Science
Below are other science projects associated with this project.
Biological Objectives for the Gulf Coast: Biological Planning Units & Target Species Population Objectives
The USGS partnered with the U.S. Fish and Wildlife Service and its conservation partners to develop 16 Biological Planning Units (BPU) and six Aquatic Extensions and compile population objectives for 166 species that are representative of habitats within each BPU.Strategic Habitat Conservation for Gulf Sturgeon
WARC researchers partnered with Gulf Sturgeon decision makers and biologists to develop a Bayesian network model that uses habitat characteristics to predict the quantity of juvenile winter foraging habitat under alternative river discharge and timing of juvenile arrival scenarios.Strategic Habitat Conservation for Black Skimmer and Gull-billed Tern
WARC researchers partnered with managers and species experts to develop a Bayesian network model and a geospatial habitat characteristics dataset to predict the number of breeding pairs of Black Skimmer and Gull-billed Tern along the northern Gulf of Mexico.Strategic Habitat Conservation for Beach Mice (Peromyscus polionotus ssp.)
WARC researchers partnered with beach mice managers and biologists to estimate habitat objectives and the amount of effort needed to achieve the habitat objective (i.e., management efficiency) for three beach mice subspecies in Florida’s panhandle. - Data
Below are data or web applications associated with this project.
Data for Gulf Sturgeon Bayesian Network Model
This USGS Data Release represents tabular and geospatial data for the Gulf Sturgeon Bayesian Network Model. The Gulf Sturgeon is a federally listed, anadromous species, inhabiting Gulf Coast rivers, estuaries, and coastal waters from Louisiana to Florida. The data release was produced in compliance with the new 'open data' requirements as way to make the scientific products associated with USGS reData for Beach Mice Bayesian Network Model
This U.S. Geological Survey (USGS) data release represents tabular and geospatial data for the Biological Objectives for the Gulf Coast Projects Beach Mice Bayesian network model. The data release was produced in compliance with 'open data' requirements as a way to make the scientific products associated with USGS research efforts and publications available to the public. The release consists of sBiological planning units and aquatic extensions for the Gulf Coast
The success of Gulf Coast restoration efforts hinge on partners sharing a common vision for conservation framed by explicit biological objectives for specific conservation targets. However, specific and explicit biological objectives that quantify what it means to actually share a common vision remain undefined. Therefore, this project's goal is to develop explicit biological objectives for a comm - Publications
Below are publications associated with this project.
Identifying information gaps in predicting winter foraging habitat for juvenile Gulf Sturgeon
The Gulf Sturgeon Acipenser oxyrinchus desotoi is an anadromous species that inhabits Gulf of Mexico coastal waters from Louisiana to Florida and is listed as threatened under the U.S. Endangered Species Act. Seasonal cues (e.g., freshwater discharge) determine the timing of spawning and migration and may influence the availability of critical habitat during winter months in six estuaries. Large iAuthorsLeah L Dale, James P. Cronin, Virginia Brink, Blair Tirpak, John M. Tirpak, William E. PineStrategic habitat conservation for beach mice: Estimating management scenario efficiencies
The Perdido Key beach mouse (Peromyscus polionotus trissyllepsis), Choctawhatchee beach mouse (P. p. allophrys), and St. Andrew beach mouse (P. p. peninsularis) are 3 federally endangered subspecies that inhabit coastal dunes of Alabama and Florida, USA. Conservation opportunities for these subspecies are limited and costly. Consequently, well‐targeted efforts are required to achieve their downlisAuthorsJames P. Cronin, Blair Tirpak, Leah L Dale, Virginia E Robenski, John M. Tirpak, Bruce G. Marcot