Intrinsic and extrinsic drivers of source-sink dynamics
Authored by Nathan H Schumaker, Julie A Heinrichs, Joshua J Lawler
Date Published: 2016
DOI: 10.1002/ece3.2029
Sponsors:
United States Environmental Protection Agency (EPA)
Platforms:
HexSim
Model Documentation:
Other Narrative
Model Code URLs:
Model code not found
Abstract
Many factors affect the presence and exchange of individuals among
subpopulations and influence not only the emergence, but the strength of
ensuing source-sink dynamics within metapopulations. Yet their relative
contributions remain largely unexplored. To help identify the
characteristics of empirical systems that are likely to exhibit strong
versus weak source-sink dynamics and inform their differential
management, we compared the relative roles of influential factors in
strengthening source-sink dynamics. In a series of controlled
experiments within a spatially explicit individual-based model
framework, we varied patch quality, patch size, the dispersion of high-
and low-quality patches, population growth rates, dispersal distances, and environmental stochasticity in a factorial design. We then recorded
source-sink dynamics that emerged from the simulated habitat and
population factors. Long-term differences in births and deaths were
quantified for sources and sinks in each system and used in a
statistical model to rank the influences of key factors. Our results
suggest that systems with species capable of rapid growth, occupying
habitat patches with more disparate qualities, with interspersed higher-
and lower-quality habitats, and that experience relatively stable
environments (i.e., fewer negative perturbations) are more likely to
exhibit strong source-sink dynamics. Strong source-sink dynamics emerged
under diverse combinations of factors, suggesting that simple inferences
of process from pattern will likely be inadequate to predict and assess
the strength of source-sink dynamics. Our results also suggest that it
may be more difficult to detect and accurately measure source-sink
dynamics in slow-growing populations, highly variable environments, and
where a subtle gradient of habitat quality exists.
Tags
Spatial heterogeneity
Evolution
connectivity
Habitat quality
Demography
Population persistence
Dispersal
scale
Heterogeneous landscapes
Metapopulations