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.
The Science Issue and Relevance: Gulf of Mexico 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. Black Skimmer and Gull-billed Tern are U.S. Fish and Wildlfie Service (USFWS) Species of Conservation Concern, Gulf Coast Joint Venture Priority Species, and are representative species that form breeding colonies on beaches and barrier islands in the USFWS’s Northern Gulf of Mexico Biological Planning Units (BPU) (Fig. 1). Eight of these BPUs have Black Skimmer and/or Gull-billed Tern population objectives. Due to limited nesting habitat that is threatened by climate change and the high desirability of these habitats by humans for infrastructure and recreational use, conservation opportunities are both limited and expensive. The project goal is to support strategic habitat conservation on the Gulf Coast by developing quantitative, spatial tools to help estimate Black Skimmer and Gull-billed Tern 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 breeding pairs of each species in each of the target BPUs. The results suggest current habitat is insufficient to meet population objectives in 50% of the BPUs.
Future Steps: We are working with the Gulf Coast Joint Venture and climate aadaptation science centers to use the model to identify which management actions might be taken on specific islands to most efficiently meet population objectives. A peer-reviewed journal article will provide a detailed project description and the products will be made 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 Brown Pelican
Strategic Habitat Conservation for Beach Mice (Peromyscus polionotus ssp.)
Identifying Conservation Objectives for the Gulf Coast Habitats of the Black Skimmer and Gull-billed Tern
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 breeding pairs of Black Skimmer and Gull-billed Tern along the northern Gulf of Mexico.
Black Skimmer and Gull-billed Tern The Science Issue and Relevance: Gulf of Mexico 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. Black Skimmer and Gull-billed Tern are U.S. Fish and Wildlfie Service (USFWS) Species of Conservation Concern, Gulf Coast Joint Venture Priority Species, and are representative species that form breeding colonies on beaches and barrier islands in the USFWS’s Northern Gulf of Mexico Biological Planning Units (BPU) (Fig. 1). Eight of these BPUs have Black Skimmer and/or Gull-billed Tern population objectives. Due to limited nesting habitat that is threatened by climate change and the high desirability of these habitats by humans for infrastructure and recreational use, conservation opportunities are both limited and expensive. The project goal is to support strategic habitat conservation on the Gulf Coast by developing quantitative, spatial tools to help estimate Black Skimmer and Gull-billed Tern habitat objectives and the effort required to achieve them (i.e., management efficiency).
Figure 1. Study area. Biological Planning Units are outlined in black. Potential Black Skimmer and/or Gull-billed Tern 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 breeding pairs of each species in each of the target BPUs. The results suggest current habitat is insufficient to meet population objectives in 50% of the BPUs.
Future Steps: We are working with the Gulf Coast Joint Venture and climate aadaptation science centers to use the model to identify which management actions might be taken on specific islands to most efficiently meet population objectives. A peer-reviewed journal article will provide a detailed project description and the products will be made 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 Brown Pelican
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.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.Identifying Conservation Objectives for the Gulf Coast Habitats of the Black Skimmer and Gull-billed Tern
Many shorebirds and nearshore waterbirds are of conservation concern across the Gulf of Mexico due to stressors such as human disturbance, predation, and habitat loss and degradation. Conservation and protection of these birds is important for the functioning of healthy ecosystems and for maintaining biodiversity in North America. Consequently, resource managers along the gulf need decision-aiding - 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