A Demographic Model for American Oystercatchers in North Carolina Shiloh Schulte and Ted Simons USGS Cooperative Fish and Wildlife Research Unit, Department.

Slides:



Advertisements
Similar presentations
Topic 5: Ecology & Evolution Miss Friedman
Advertisements

Population Ecology & Demography; Leslie Matrices and Population Projection Methods Introduction to linking demography, population growth and extinction.
POPULATION ECOLOGY.
Demography of southern leatherside chub in the presence and absence of an introduced predator Mark C. Belk, Eric Billman, Josh Rasmussen, Karen Mock, Jerald.
Port-en-Bessin, France
American Oystercatcher Research and Monitoring 2004 Status Report North Carolina’s Outer Banks and Monomoy National Wildlife Refuge, MA.
Update on Breeding Season Monitoring and Management Efforts in North Carolina Sue Cameron NC Wildlife Resources Commission.
Title Page Evaluating American Oystercatcher Productivity: A Comparison of Nest Success Estimation Methods Photo: Tom Virzi, Ph.D. Candidate.
Gopher Tortoise Minimum Viable Population and Minimum Reserve Size Workshop March 2013 Background Participants Process Findings Photo by Dirk J.
American Oystercatcher Breeding Distribution and Population Estimate in North Carolina Susan Cameron and David Allen NC Wildlife Resources Commission.
Adaptive Management to Conserve Red Knots Gregory Breese Delaware Bay Estuary Project US Fish and Wildlife Service.
Population Size and Winter Distribution of Eastern American Oystercatchers An Evaluation of Aerial Surveys To Meet the Monitoring Goals of the U.S. Shorebird.
Black Sea Bass – Northern Stock Coastal-Pelagic/ASMFC Working Group Review June 15, 2010.
Banders without Borders Implementing a large-scale cooperative mark-resight study.
American Oystercatcher Recovery Initiative 2012 Working group update.
Populations change over time Changes in U.S. Bird Populations by habitat Science News 2009.
Announcements Error in Term Paper Assignment –Originally: Would... a 25% reduction in carrying capacity... –Corrected: Would... a 25% increase in carrying.
Effects of Predator Exclusion on the Reproductive Success of the Piping Plover (Charadrius melodus). By Krista Schmidt.
By Rob Day, David Bardos, Fabrice Vinatier and Julien Sagiotto
Inherent Uncertainties in Nearshore Fisheries: The Biocomplexity of Flow, Fish and Fishing Dave Siegel 1, Satoshi Mitarai 1, Crow White 1, Heather Berkley.
FACTORS AFFECTING NESTING SUCCESS OF COEXISTING SHOREBIRDS AT GREAT SALT LAKE, UTAH John F. Cavitt, Department of Zoology, Weber State University The Great.
Fish and Wildlife Population Ecology: The End Game…
Acknowledgments Research Mentor: Mary Bricker Funding: Project IBS-CORE Undergraduate Research Fellowship, provided by a grant from the Howard Hughes Medical.
Population Viability Analysis. Conservation Planning U.S. Endangered Species Act mandates two processes –Habitat Conservation Plans –Recovery Plans Quantitative.
Population Dynamics of the Northern Spotted Owl Reasons for Listing, Current Status, and Recovery Strategy May 8, 2014.
American Oystercatcher Focal Species Plan American Oystercatcher Working Group.
Office of Renewable Energy Programs NAC-CESU Annual Meeting June 12, 2013 Mary C. Boatman, Ph.D. Environmental Studies Chief.
Stochastic Population Modelling QSCI/ Fish 454. Stochastic vs. deterministic So far, all models we’ve explored have been “deterministic” – Their behavior.
A program of the Stacy Craig Environmental Education Coordinator Tel:
Factors of Extinction Why are some species more or less prone to extinction?
Populations II: population growth and viability
Estuary Productivity & Complexity Evaluating Human Impacts.
FW364 Ecological Problem Solving Lab 7: Loggerhead turtle conservation.
Coral Reef Evaluation and Monitoring Project 2012 US EPA Water Quality Protection Program Steering Committee Presentation February 20th, 2013 Rob Ruzicka,
Ecology 8310 Population (and Community) Ecology Application of projection matrices Sea turtle conservation (Crouse et al.)
Population Viability Analysis Lecture15. What sort of PVA model is appropriate? Puerto Rican parrot Black footed ferret DISCUSS What is gained from using.
Population Viability Analysis. Critically Endangered Threatened Endangered Criterion Reduction in population size 10 yrs 3 generations >80% >50% >30%
Stage Based Population Projection Matrices and the Power of Linear Algebra Michael Bruce and Emily Shernock.
Kevin Kappenman Rishi Sharma Shawn Narum Benefit-Risk Analysis of White Sturgeon in the Lower Snake River Molly Webb Selina Heppell.
Lecture 29, November 19, Applying life-history analysis to problem of salmon. Will removing dams on the Columbia River increase salmon survival?
The Quest for Recovery Continues - Yukon Delta NWR – February 15, Spectacled Eiders on Yukon Delta NWR Melissa Gabrielson Wildlife Biologist Yukon.
Gregory Nelson. David Guttenfelder LoonWatch.
The North Aleutian Basin: Northern Sea Otters and Pacific Walrus R. Davis, TAMU Marine Mammals Management Office U.S. Fish & Wildlife Service Region 7.
Outline for Lectures 9 and 10
55.2 How Do Ecologists Study Population Dynamics? To understand population growth, ecologists must measure population processes as well as population traits.
Please note: this presentation has not received Director’s approval and is subject to revision.
US-AMLR Datasets Pinniped research Mike Goebel. CCAMLR Ecosystem Monitoring Program “detect and record significant changes in critical components of the.
John Lake – Marine Biologist RIDFW-Marine Fisheries Section 3 Ft. Wetherill Road Jamestown, RI Young-of-the-Year Survey in RI.
Wildlife, Fisheries and Endangered Species
Ecological Restoration (BIO 409) Dr. McEwan Lecture 3: Population Dynamics and Restoration.
Sources of Fish Decline Habitat disruption Breeding areas Larval development areas Bottom structure.
Everglades Snail Kite Path to Extinction. Description of Snail Kites Photo courtesy of Dr. Wiley Kitchens  45 inch wingspan  inches long  Weighs.
Challenging the ‘right to fish’: closing the high seas to fishing U. Rashid Sumaila Fisheries Economics Research Unit, Fisheries Centre, University of.
Connectivity of Eastern Canada Piping Plovers (Life-cycle Conservation) Cheri Gratto-Trevor Science & Technology Branch, Environment Canada and Jen Rock,
A Comparison of Northern Bobwhite Demographic Sensitivity between a Mid- Atlantic and a National Population Model Chris Williams 1, Brett Sandercock 2,
The Florida Manatee in the Suwannee River and Estuary: Past, Present, and Future Catherine A. Langtimm, Cathy A. Beck, Robert K. Bonde, James P. Reid Sirenia.
The 9 th Annual Zoology and Botany Graduate Student Research Symposium Friday, March 24th, am-3pm; reception following Talley Student Center, Blue.
Headstarting: An Experimental Study to Improve Nest Success of American Oystercatchers 1 School of Agricultural, Forest and Environmental Sciences, Clemson.
Improved fauna habitat quality assessment for decision making in the Pilbara Bioregion Amy Whitehead NERP Environmental Decisions.
Demographic vital rates and population growth:
Grizzly Bears and the Species at Risk Act
Performance of small populations
Demographic PVAs.
Ecology 8310 Population (and Community) Ecology
Hurricanes and Hatchlings Don’t Mix
Two major points discussed
The Abundance and Distribution of Populations
Matrix Population Models
Intro to yourself and the North Central CMA
Population Ecology.
Presentation transcript:

A Demographic Model for American Oystercatchers in North Carolina Shiloh Schulte and Ted Simons USGS Cooperative Fish and Wildlife Research Unit, Department of Zoology, North Carolina State University, Raleigh, NC

Conservation Status  ~11,000 oystercatchers in the United States.  ~675 breeding adults in North Carolina  Threatened in Georgia, and a species of concern in Florida and Alabama  Threats: coastal development, recreational activity, increasing predator populations, pollution and destruction of food resources, and sea level rise.

Assessment  Surveys and monitoring programs: – Valuable, but usually limited in scope  Demographic modeling –Combines vital rate estimates –Greater insight into population dynamics –Predictive –Determines which life stages have the most influence on population growth

Modeling Objectives  1) Quantify risks to the oystercatcher population in North Carolina  2) Determine the effect of hurricanes on population trajectory  2) Identify the most critical data needs  3) Identify life stages where management actions might be most effective

Study sites on the Outer Banks of North Carolina Cape Hatteras National Seashore Cape Lookout National Seashore

Field Methods  Monitored 1129 nesting attempts over 10 years on the Outer Banks of NC  Individually banded over 280 oystercatchers from 1999 – 2006  Annual resight surveys to document adult survival and recruitment of subadults into the breeding population

Model Construction

Parameter Estimates and Data Sources  Adult survival: 0.93 (SE 0.013) - Mark-resight study  Fecundity: (SE 0.011) – Nest/chick monitoring  Subadult survival with transition: 0.15 (SE 0.1) – Ens et al. 1995, Safriel et al  Subadult survival without transition: 0.75 (SE 0.1) – Ens et al. 1995, Safriel et al  Juvenile survival: 0.7 (SE 0.1) - Goss-Custard et al. 1982, Kersten and Brenninkmeijer 1995

Model Output  Stable stage distribution, lambda, and matrix element sensitivities  Added stochasticity based on standard errors of parameter estimates  Calculated the population growth rate and the probability of a 50% decline over 50 years based on 1000 model runs

Population Trajectory: Baseline Model Years Population

Results: Baseline Model  Lambda:  Probability of 50% decline over 50 years:  Sensitivities:

Hurricane Effects  Improved habitat and decreased predators  After Hurricane Isabel, overall nest survival jumped to (SE 0.104, n=92). Hurricane Isabel

Population Trajectory: Hurricane Models Years Population 0 Baseline: λ = Year Hurricane: λ = Year Hurricane: λ =

Conclusions  The oystercatcher population in North Carolina is not self-sustaining  Bonanza effects from hurricanes may mitigate population decline, but are unlikely to reverse the trend  Management actions for maximum effect: –Decrease risks to adults, especially during winter (disturbance, loss of food resources, catastrophic events, oil spills, etc) –Increase baseline reproductive success  Good estimates of Juvenile and Subadult survival and dispersal are still needed

Dissertation Committee Dr. Ted Simons Dr. Ken Pollock Dr. Jim Gilliam Dr. Jaime Collazo Previous AMOY grad students at NCSU Melissa Davis Conor McGowan

Questions?