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5/24/2018 | 3:15 PM - 3:30 PM | DISTURBANCE IN A STREAM NETWORK: GENETIC AND DEMOGRAPHIC DATA HELP PREDICT POST-DISTURBANCE COMMUNITY STRUCTURE | 310 B

DISTURBANCE IN A STREAM NETWORK: GENETIC AND DEMOGRAPHIC DATA HELP PREDICT POST-DISTURBANCE COMMUNITY STRUCTURE

Stream networks can experience extreme disturbances that alter community structure. Properties of both the network and species that reside there are thought to influence community response, including recovery rates. A genetic monitoring approach was used to characterize responses of the fish community to disturbance resulting from a series of three catastrophic wildfires in a dryland stream network. Three of eight species exhibited declines in genetic diversity and lowered effective population sizes (Ne) in response to wildfires, whereas other species exhibited no changes. Temporal genetic sampling revealed synergy between changes in allele frequencies and species-specific demographic parameters. By comparing temporal changes in genetic diversity and structure spanning pre-disturbance through recovery phases, we developed a conceptual framework that makes explicit predictions concerning the trajectory of genetic summary statistics in response to disturbance. Applying our framework across species revealed differences in relative roles of dispersal and local compensatory reproduction to resilience and recovery following intense disturbance. Integration across species helps predict post-disturbance community structure.

Connectivity
Fish
Genetics

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Presenters/Authors

Thomas Turner (), University of New Mexico, turnert@unm.edu;