Estimating recruitment rate and population dynamics at a migratory stopover site using an integrated population model

Author:

Tucker Anna M.1ORCID,McGowan Conor P.2,Nuse Bryan L.3,Lyons James E.4,Moore Clinton T.5,Smith David R.6,Sweka John A.7,Anstead Kristen A.8,DeRose‐Wilson Audrey9,Clark Nigel A.10

Affiliation:

1. U.S. Geological Survey, Iowa Cooperative Fish and Wildlife Research Unit Iowa State University Ames Iowa USA

2. U.S. Geological Survey, Florida Cooperative Fish and Wildlife Research Unit University of Florida Gainesville Florida USA

3. Bird Conservancy of the Rockies Ft. Collins Colorado USA

4. U.S. Geological Survey, Eastern Ecological Science Center at the Patuxent Research Refuge Laurel Maryland USA

5. U.S. Geological Survey, Georgia Cooperative Fish and Wildlife Research Unit University of Georgia Athens Georgia USA

6. U.S. Geological Survey, Eastern Ecological Science Center at Leetown Kearneysville West Virginia USA

7. U.S. Fish and Wildlife Service, Northeast Fishery Center Lamar Pennsylvania USA

8. Atlantic States Marine Fisheries Commission Arlington Virginia USA

9. Delaware Division of Fish and Wildlife Dover Delaware USA

10. British Trust for Ornithology The Nunnery Norfolk UK

Abstract

AbstractConsideration of the full annual cycle population dynamics can provide useful insight for conservation efforts, but collecting data needed to estimate demographic parameters is often logistically difficult. For species that breed in remote areas, monitoring is often conducted during migratory stopover or at nonbreeding sites, and the recruitment rate of new breeding adults can be difficult to estimate directly. Here, we present an integrated population model that uses mark‐resight and count data to estimate survival probability, population growth rate, and recruitment rate for an Arctic‐breeding shorebird of conservation concern, the red knot (Calidris canutus rufa), from data collected during spring stopover in Delaware Bay, USA, from 2005 to 2018. At this site, red knots feed primarily on the eggs of spawning horseshoe crabs (Limulus polyphemus), a legally harvested species. We used this model to estimate the relationship between horseshoe crab abundance and red knot demographics, which informed a recent revision to the framework used to establish horseshoe crab harvest regulations. Our analysis indicates that the red knot population was most likely stable from 2005 to 2018 (average λ = 1.03, 95% credible interval [CRI]: 0.961, 1.15) despite low recruitment rates (average ρ = 0.088, 95% CRI: 0.012, 0.18). Adult survival probability was positively associated with horseshoe crab abundance in the same year (β = 0.35, 95% CRI: 0.09, 0.63), but we found no effect of horseshoe crab abundance two years previously on recruitment of new adults (β = −0.08, 95% CRI: −0.41, 0.38). Our approach demonstrates the utility of integrated population models for understanding population dynamics, even when data are only available from migratory stopover monitoring.

Publisher

Wiley

Subject

Ecology,Ecology, Evolution, Behavior and Systematics

Reference77 articles.

1. Estimation of immigration rate using integrated population models

2. Population Estimates of North American Shorebirds, 2012;Andres B. A.;Wader Study Group Bulletin,2012

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