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Topics to keep in mind

This is a list of topics that are not a direct focus of our research clusters, but that we want to keep in mind; also list of metadata and possible funding sources.

For Next Time:

 

Think about expert elicitation (Bayesian belief networks) model for next time (conceptual framework for a quantitative approach): habitat quality nodes, enemy nodes, human effect nodes, management nodes - transition probabilities that combine expert opinion with known relationships.  Nate has done two workshops like this, and could give a talk at our next meeting.  Problem that these aren't spatially explicit.

Species distribution of milkweeds - get occurrence records to inform model of habitat quality?

 

Monitoring program metadata

summary paragraph

location

what data are available on request

years covered -

stage covered

contact information/website

summary of population trends or other summary graphs

map of survey sites

 

Funding sources

Biodiv informations

Env Biol panel

ISE

NBII

NFWF

USGS - target NPs and refuges

 

 

Data Collection
  • Recommendations for improving data collection protocols and filling gaps (eg CNDDB)
  • Encouraging continued sampling from citizen volunteers
  • Relationships with observer locations and sightings – observer gaps or monarch gaps
  • Accuracy of citizen collected data
  • Protocol and location appropriateness
  • Data on reared vs wild monarchs
  • Gap – disease in CA

 

Ideas for data analysis

  • Winter tree density and height – use crown data from satellite images

 

Biology questions

  • Winter breeding: changes over time and effects of weather
  • Central vs eastern flyway
  • Wind directions
  • Role of local (southern US) overwintering reproductives

 

Questions identified as interesting, but not chosen for clusters during meeting 1

·         What factors most influence migration success of individuals

·         Characterize stage-specific fecundity and mortality and impact on population dynamics (stage-based modeling and IBM

·         Long term trends and causes of peaks

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