Department of Biology Calvin College Turn down the noise Temporal modification of songbird singing behavior in the presence of punctuated noise events Hypothesis and Prediction If temporal modification is an important adaptation for persistence in anthropogenic noise we predict that ID: 505013
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Emily Finch
Department of BiologyCalvin College
Turn down the noise:
Temporal
modification of songbird singing behavior in the presence of punctuated noise eventsSlide2
Hypothesis and PredictionIf temporal modification is an important adaptation for persistence in anthropogenic noise, we predict that songbirds will sing more often and with greater regularity during quiet periods of time embedded within experimentally elevated noise than during similar times intervals under control (non-noise) conditions.
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Objectives Determine the effects of road noise on bird singing patternsPossibility of adaptation
Determine if songbirds will adapt to sing more in quiet gapsModify behavior to sing more frequently during 1 and 5 minute gaps in noise compared to equivalent gaps in quiet conditionsOr delay vocalization until post-playback conditionsSlide4
Methods6 weeks of data collectionSlide5
Methods6 weeks of data collection2 experimental sites and 2 control sites per weekSlide6
Methods6 weeks of data collection2 experimental sites and 2 control sites per weekFocus on forest/forest edge speciesSlide7
Methods6 weeks of data collection2 experimental sites and 2 control sites per weekFocus on forest/forest edge species
3 to 4 days of experiment per weekPossibility of acclimationSlide8
Methods6 weeks of data collection2 experimental sites and 2 control sites per weekFocus on forest/forest edge species
3 to 4 days of experiment per weekEach site 350+ meters apartSlide9
Site layout
Speaker
Passive recorder
~50 meters
25 meters
Control has passive recorder, but no playback setupSlide10
Noise Playback
10 min pre
10 min post
5 min
1
min
RampSlide11
Daily ProcedurePoint countsSystem Test
Enter point countsAnalyze recordings, focus on the gaps
10 minutes
Top 20 forest species
Note distance
Check the unknown species
PurposeSlide12
Daily ProcedurePoint countsSystem Test
Enter point countsAnalyze recordings, focus on the gaps
Run sound playback and check speakers
Change out the batterySlide13
Daily ProcedurePoint countsSystem Test
Enter point countsAnalyze recordings, focus on the gaps
Species and distance
Other factors: wind, temperature, clouds, timeSlide14
Daily ProcedurePoint countsSystem Test
Enter point countsAnalyze recordings, focus on the gaps
Cut gaps
Count number of songs per speciesSlide15
Calculating the ResultsFinish data collection (1 week remaining)Count all 1 and 5 minute gaps and 10 minute post-playbackSlide16
Calculating the ResultsFinish data collection (1 week remaining)Count all 1 and 5 minute gaps and 10 minute post-playback
Then…Choose focal speciesIn the lead: REVI, AMRO, EAWP, TUTI, ACFL, COYECompare 1 and 5 minute gaps in control and experimental conditionsCalculate song rate in 10 minute post playbackSlide17
Possible OutcomesBirds sing more in silent windows during noise playback than during equivalent gaps under control conditions
Birds vocalize less in noisy conditions than in quiet conditionsUnder noisy conditions, birds will leave the areaAs time progresses, bird singing patterns change indicating that they are able to or not able to adjust to noisy conditionsSlide18
ConclusionThe information gathered from this study can help influence road construction. Bird adaptability can be used in conservation efforts when planning roadways