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Estimating unbiased phenological trends by adapting site-occupancy models
Ecology
|September 19, 2014
Summary
Climate change impacts species phenology, but traditional methods are biased. A new site-occupancy model accurately estimates phenological shifts, revealing delayed bird arrival and altered butterfly flight periods.
Area of Science:
- Ecology
- Climate Change Biology
- Biodiversity Monitoring
Background:
- Climate warming drives phenological shifts in plants and animals, affecting timing of life events like spring appearance and reproduction.
- Traditional phenology measures are prone to bias from factors like population size, survey effort, and detection probability.
- Robust, comparable phenological measures are crucial for understanding species' responses to climate change.
Purpose of the Study:
- To develop a novel, robust method for estimating phenological events (arrival/departure dates) using site-occupancy models.
- To address biases inherent in traditional phenological data analysis.
- To provide a flexible tool applicable to various monitoring datasets.
Main Methods:
- Developed a new method based on site-occupancy models to estimate species arrival and departure dates.
- Validated the method using simulated data, demonstrating its accuracy under changing detection probabilities and site occupancy.
- Applied the method to long-term biodiversity data from Switzerland, analyzing songbird arrival and butterfly flight periods.
Main Results:
- The new method provided virtually unbiased estimates of phenological events.
- Two long-distance migrant songbirds showed a trend of postponing spring arrival by -0.5 days per year (1995-2012).
- Short-distance migrating butterflies exhibited a shorter flight period, while long-distance migrants' flight periods remained stable.
Conclusions:
- The developed site-occupancy modeling approach offers a robust and unbiased way to assess phenological shifts.
- Long-distance migrant songbirds in Switzerland are delaying spring arrival, contrary to short-distance migrants.
- Phenological responses vary by species' migratory distance, highlighting complex ecological impacts of climate change.
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