Modeling Population Dynamics of Roseate Terns (Sterna dougallii) in the Northwest Atlantic Ocean

TitleModeling Population Dynamics of Roseate Terns (Sterna dougallii) in the Northwest Atlantic Ocean
Publication TypeJournal Papers
Year of Publication2018
AuthorsGarcía-Quismondo, M., Nisbet I. C. T., Mostello C. S., & Reed M. J.
Journal TitleEcological Modelling
PublisherElsevier
Place PublishedAmsterdam (The Netherlands)
Volume368
Pages298-311
Date Published01/2018
Abstract

The endangered population of roseate terns (Sterna dougallii) in the Northwestern Atlantic Ocean consists of a network of large and small breeding colonies on islands. This type of fragmented population poses an exceptional opportunity to investigate dispersal, a mechanism that is fundamental in population dynamics and is crucial to understand the spatio-temporal and genetic structure of animal populations. Dispersal is difficult to study because it requires concurrent data compilation at multiple sites. Models of population dynamics in birds that focus on dispersal and include a large number of breeding sites are rare in literature. In this work, we propose a stochastic simulation model that captures the dispersal dynamics of this population of roseate terns. The colonization and decolonization (abandonment) of breeding colonies are modeled as discrete events that follow different dynamics than dispersal. We show that our model reproduces the properties of this population that have been observed in field data. We also analyzed the sensitivity of our model to alterations in different variables, and study the impact of these alterations in the model dynamics. Our results suggest that large colony population size exhibits a threshold sensitivity to adult survival, and that regional persistence is maintained by the larger populations.

KeywordsIslands, Metapopulation, Population persistence, Roseate terns, Source-sink
URLhttp://www.sciencedirect.com/science/article/pii/S0304380017304945
Impact Factor

2.363

Ranking

59/153 - Q2

ISSN Number0304-3800
DOI10.1016/j.ecolmodel.2017.12.007