SOURCE–SINK DYNAMICS IN A TEMPORALLY HETEROGENEOUS ENVIRONMENT

In traditional source–sink models, vital rates and movement probabilities are assumed to be temporally homogeneous. Numerous studies, however, have demonstrated that temporal heterogeneity is the rule rather than the exception in natural systems. A case of particular interest is an expanding and contracting population where determination of source and sink populations is dependent on the timing and duration at which population growth rates are measured. Thus, ecologists have been perplexed about what is the proper scale to test for source–sink dynamics. In this study, I present a temporally variable source– sink dynamic driven by flooding disturbance. I measured population growth rates of an herbivorous neotropical rolled-leaf beetle, Cephaloleia fenestrata (Chrysomelidae), at different temporal scales in this expanding and contracting population. I demonstrate that flooding created a strong sink, but the system lacked source–sink dynamics during nonflood periods. The sink is caused by a flood-related sevenfold decrease in survival probability. There was no evidence for effects of flooding on recruitment. Migration was directional from the upland to the flood zone habitat, supporting the conclusion that the population in the flood zone is a sink. A Monte Carlo simulation demonstrated that whether the population in the flood zone is a sink, and the intensity of the sink, ultimately depend on the flooding frequency. Given an observed flood frequency of approximately once per year, the flood zone population was determined to be a long-term sink. This study provides evidence of high temporal variability resulting in fluctuations in and out of a source–sink dynamic and implicates a causal factor (increased mortality due to flooding). These results illustrate the importance of considering temporal variability in source–sink dynamics, and in choosing the proper temporal scale at which to test for source–sink dynamics.

[1]  R. Holt,et al.  Impacts of environmental variability in open populations and communities: "inflation" in sink environments. , 2003, Theoretical population biology.

[2]  M. Donahue,et al.  Patterns of Dispersal and Dynamics among Habitat Patches Varying in Quality , 2003, The American Naturalist.

[3]  Geoffrey M. Carter,et al.  TERRITORY QUALITY TRANSITIONS AND SOURCE–SINK DYNAMICS IN A FLORIDA SCRUB‐JAY POPULATION , 2003 .

[4]  Steven Walters,et al.  Landscape pattern and productivity effects on source-sink dynamics of deer populations , 2001 .

[5]  M. Holyoak,et al.  EMPIRICAL EVIDENCE FOR PREDATOR–PREY SOURCE–SINK DYNAMICS , 2000 .

[6]  F. Messier,et al.  Assessment of source-sink theory for predicting demographic rates among habitats that exhibit temporal changes in quality , 2000 .

[7]  D. Boughton Empirical evidence for complex source-sink dynamics with alternative states in a butterfly metapopulation , 1999 .

[8]  R. Kadmon,et al.  Testing for source-sink population dynamics : an experimental approach exemplified with desert annuals , 1999 .

[9]  T. A. Hanley,et al.  SPATIAL VARIATION IN POPULATION DYNAMICS OF SITKA MICE IN FLOODPLAIN FORESTS , 1999 .

[10]  P. Gaona,et al.  DYNAMICS AND VIABILITY OF A METAPOPULATION OF THE ENDANGERED IBERIAN LYNX (LYNX PARDINUS) , 1998 .

[11]  J. Diffendorfer Testing models of source-sink dynamics and balanced dispersal , 1998 .

[12]  D. DeAngelis,et al.  Source-sink dynamics and the coexistence of species on a single resource , 1997 .

[13]  P. C. Dias,et al.  Sources and sinks in population biology. , 1996, Trends in ecology & evolution.

[14]  D. Doak Source‐Sink Models and the Problem of Habitat Degradation: General Models and Applications to the Yellowstone Grizzly , 1995 .

[15]  T. Unruh,et al.  ELYTRAL PUNCTURES: A RAPID, RELIABLE METHOD FOR MARKING COLORADO POTATO BEETLE , 1993, The Canadian Entomologist.

[16]  P. Glynn,et al.  Coral reef bleaching in the 1980s and possible connections with global warming. , 1991, Trends in ecology & evolution.

[17]  H. Pulliam,et al.  Sources, Sinks, and Population Regulation , 1988, The American Naturalist.

[18]  R. Holt Population dynamics in two-patch environments: Some anomalous consequences of an optimal habitat distribution , 1985 .

[19]  R. Schreiber,et al.  Central Pacific Seabirds and the El Ni�o Southern Oscillation: 1982 to 1983 Perspectives , 1984, Science.

[20]  J. Connell Diversity in tropical rain forests and coral reefs. , 1978, Science.

[21]  D. Strong Rolled-Leaf Hispine Beetles (Chrysomelidae) and their Zingiberales Host Plants in Middle America , 1977 .

[22]  K. Burnham,et al.  Program MARK: survival estimation from populations of marked animals , 1999 .

[23]  Staines Cl The genus Cephaloleia (Coleoptera:Chrysomelidae) in Central America and the West Indies. , 1996 .

[24]  Scott K. Robinson,et al.  SOURCE-SINK POPULATION DYNAMICS MAY COMPLICATE THE INTERPRETATION OF LONG-TERM CENSUS DATA' , 1996 .

[25]  William J. Sutherland,et al.  Sources, sinks and pseudo-sinks , 1995 .

[26]  O. Debruijn,et al.  Population ecology and conservation of the barn owl Tyto alba in farmland habitats in Liemers and Achterhoek (The Netherlands) , 1994 .