SlideShare a Scribd company logo
1 of 29
Download to read offline
Spatiotemporal organization of
 songbird migration covering
         30,000 km


Heiko Schmaljohann, James W. Fox & Franz Bairlein



  Institute of Avian Research
  „Vogelwarte Helgoland“
Introduction

movement ecology
  • quantify migration in a high spatiotemporal resolution
                                                                          Nathan et al. 2008 PNAS


elements of migration
   • flight route, flight direction, stopover duration, flight
   speed, fuel deposition rate

optimal migration theory               Alerstam & Lindström 1990 Phys & Ecophys

   • predicts by assuming time minimization as the overall
   strategy that the bird’s fuel load is a function of stopover
   duration, fuel deposition rate, flight routes and flight
   speed
                 Lindström & Alerstam 1992 Am Nat, Hedenström & Alerstam 1995 Phil Trans R Soc B,
                                        Alerstam 2001 Science, Hedenström 2008 Phil Trans R Soc B
Introduction

studies
   • in large birds by satellite tracking (geese, raptors)
                                          Mandel et al. 2008 PNAS, Klaassen et al. 2010 Proc R Soc B


   • but not in small birds: due to weights of tracking devices
   studies have been focused on single flight legs / stopover
   sites
                                  Lindström and Alerstam 1992 Am Nat, Wikelski et al. 2003 Nature,
                                                   Schmaljohann & Naef-Daenzer 2011 J Anim Ecol


light-level geolocator
               „Light-level geolocation is the calculation of position from
               ambient light level readings with reference to time.“ BAS

   • development of light-level geolocators has set ecologists
   in a euphoric mood
                 Shaffer et al. 2008 PNAS, Robinson et al. 2009 TREE, Stutchbury et al. 2009 Science,
               Bächler et al. 2010 PLoSONE, Conklin et al. 2010 Nat Comm, Egevang et al. 2010 PNAS
Introduction

light-level geolocator
    • advantage
        - small and „cheap“

   • disadvantage
      - sample size depends on recapture probability
      - equinoxes (is the date when the day length is the same
                     throughout all latitudes)
         „2-3 weeks around each equinox the calculation of
           latitude is unreliable or impossible!“ BAS
          this is the main migration period of many bird
       species!
                              Stutchbury et al. 2009 Science, Bächler et al. 2010 PLoSONE
Introduction




  Purple Martin
  (Progne subis)




   Wood Thrush
   (Hylocichla
    mustelina)
Stutchbury et al. 2009 Science
Introduction




      Longitude is unaffected by
      equinox.
Bächler et al. 2010 PLoSONE
Introduction

northern wheatear (Oenanthe oenanthe)
- insectivorous songbird (~ 30 g)
- nearly circumpolar breeding distribution
- prefers open habitats (tundra, savannah)
- all over-winter south of the Sahara
Aim of study



to quantify migration in a high spatiotemporal resolution


   allows a detailed description of northern wheatear’s
migration strategy
       - flight route
       - organization of stopover
       - flight speeds
       - temporal distribution of life history stages within
       an annual cycle
Methods




          Alaska
          June 2009: 30 birds with geolocators
          June 2010: 5 returned, gained 3 geolocators
Methods




   Precalibration
   Helgoland, Germany (54° 11’ N, 07° 55’ E)
   20th May - 27th of May 2009

   Accuracy of single fixes to the reference site during
   precalibration was limited to 76 ± 33 km (nnumber of fixes = 39).

   longitudinal deviation: 45.6 ± 35.0 km
   latitudinal deviation: 47.1 ± 37.6 km
   (nnumber of fixes = 39)
Methods
Methods


160° W    ● midnight fix
          ● noon fix

 160° E




 120° E

                                   6


  80° E                8
           6



  40° E
                1.4.




                           15.4.




                                                     1.5.




                                                            15.5
                                       Spring 2010
Methods

  Defining stopover sites
  > 2 noon fixes within 1° of longitude
           Dierschke & Delingat 2001 Behav Ecol Sociobiol, Schmaljohann & Dierschke 2005 J Anim Ecol
    Dierschke, Mendel & Schmaljohann 2005 Behav Ecol Sociobiol, Schmaljohann et al. 2011 J Ornithol,
                                                      Schmaljohann & Naef-Daenzer 2011 J Anim Ecol
Methods


160° W        ● midnight fix
              ● noon fix

 160° E




 120° E

                                       6


  80° E                    8
               6

          6

  40° E
                    1.4.




                               15.4.




                                                         1.5.




                                                                15.5
                                           Spring 2010
Methods


160° W                   5                                                     ● midnight fix
                                                                               ● noon fix
                                5
 160° E




 120° E

                                             4


  80° E                                                   5
                                                              4
                                                                          10            18      9
                                                                                                     8
  40° E
                                                 15.10.




                                                                               15.11.
          15.8.




                  1.9.



                             15.9.



                                     1.10.




                                                                  1.11.




                                                                                             1.12.
                                       Autumn 2009
Methods
Methods

          raw data, NO outliners
Methods




          Local Polynomial Regression Fitting;
          loess(latitude ~ longitude, data excluding „outliners“)
Methods


          raw data, 7 outliners not shown
Methods
Methods


Estimating „uncertainty“ of migration route



                                    raw fix
                                ●
     distance of raw fix to
     smoothed migration route

                                     smoothed migration route
Methods


                           106 ± 107 km, n = 15




          220 ± 212 km, n = 37
Results – migration strategy




                               A


              D



                                   mean ± SD distance of
                                   fixes from smoothed lines
                                   A: 156 ± 153 km, n = 14
      B
                                   B: 276 ± 155 km, n = 7
                                   C: 719 ± 577 km, n = 18
          C
                                   D: 99 ± 59 km, n = 15
Results – migration strategy

   Onset of autumn migration      17 Aug, 20 Aug, 20 Aug 2009
   Distance between stopover
   prior to Arabian desert        ~ 280 ± 115 km
   Arrival in eastern Africa      11 Nov, 13 Nov, 14 Nov 2009
   Distance of autumn migration 14.800 km, 14.900 km, 15.300 km
   Ø migration speed autumn       ~160 km·day-1 [370 km·night-1]
   Distance between wintering
   areas                          ~ 400 ± 180 km
   Onset of spring migration      8 Apr, 30 Mar, 28 Mar 2010
   Arrival at breeding area       -, 23 May, 24 May 2010
   Distance of spring migration   -, 14.100 km, 14.250 km
   Ø migration speed spring       ~260 km·day-1 [400 - 500 km·night-1]
Results – migration strategy

search and settling time/cost
        to establish feeding territories and to adapt physiologically to
         replenish their energy expenditure from the previous flight
         Alerstam & Lindström 1990 Phys & Ecophys, Alerstam & Hedenström 1998 J Avian Biol, Jenni &
                                                                        Schaub 2003 Bird Migration

          this search and settling time is an important hypothesis
      influencing the predicted fuel load, stopover duration and number of
      flights during the entire migration
                                                          Alerstam & Lindström 1990 Phys & Ecophys

        only little evidence for a natural search and settling time
                                               Schwilch & Jenni 2001 Auk, Delingat et al. 2006 Ardea

        “stop-and-go” migration strategy for Alaskan northern wheatears


     This diminishes the biological importance of a search
      and settling time at least for northern wheatears.
Results – migration strategy

overall migratory speed
          “two” times higher in spring than in autumn indicating a higher
      time pressure to reach the migratory goal
      Hall-Karlsson & Fransson 2008 Ring & Mig, Stutchbury et al. 2009 Science, Bächler et al. 2010


      PLoSONE

          as northern wheatears migrate only at night, also when crossing
      ecological land barriers, the nocturnal flight speed ranged here
      between 300 and 500 km·night-1
                  Schmaljohann et al. 2007 Proc R Soc B, Schmaljohann & Naef-Daenzer 2011 J Anim Ecol


  These nocturnal flight speeds are far higher than formerly
                                        predicted.
Results – migration strategy
                                                                       breeding
 spatiotemporal organization
                                                                       ~ 70 days
                                                                                + complete moult

                 spring                                                         ~ 50 days
                 migration                breeding area

                 ~ 55 days                   ~ 80 days                    autumn
                                                                          migration
                                                                          ~ 88 days

                                       wintering area
                                          ~ 140 days


               To maximize the flexibility in timing of the
                 life history stages northern wheatears
                       overlap breeding and moult.
McNamara & Houston 2008 Phil Trans R Soc B, Wingfield 2008 Phil Trans R Soc B
take-home massages

optimal migration theory
  search and settling time seems to be low
  flight speed of songbirds: up to 500 km per night
  overlap of life history stages (breeding and moult) to
maximize the flexibility in timing of these
Thank you for your attention!
Thanks to

            Marc Bulte, Ommo Hüppop,
            Rolf Nagel, Freimut Schramm         Kevin Winker


       Beth Pattinson


              Robert Gill

        Ellen Paul


                       Susan Sharbaugh

                 Beat Neaf-Daenzer        Rachel Muheim

More Related Content

Similar to Schmaljohann eou

1_Buck - Wavemil Steps IGARSS-11.ppt
1_Buck - Wavemil Steps IGARSS-11.ppt1_Buck - Wavemil Steps IGARSS-11.ppt
1_Buck - Wavemil Steps IGARSS-11.pptgrssieee
 
1_Buck - Wavemil Steps IGARSS-11.ppt
1_Buck - Wavemil Steps IGARSS-11.ppt1_Buck - Wavemil Steps IGARSS-11.ppt
1_Buck - Wavemil Steps IGARSS-11.pptgrssieee
 
C5.06: Argo: Recent Insights and Future Evolution - Susan Wijffels
C5.06: Argo: Recent Insights and Future Evolution - Susan WijffelsC5.06: Argo: Recent Insights and Future Evolution - Susan Wijffels
C5.06: Argo: Recent Insights and Future Evolution - Susan WijffelsBlue Planet Symposium
 
Συλλογή και αφομοίωση δεδομενων Glider κατά μήκος διατομής της θάλασσας της Λ...
Συλλογή και αφομοίωση δεδομενων Glider κατά μήκος διατομής της θάλασσας της Λ...Συλλογή και αφομοίωση δεδομενων Glider κατά μήκος διατομής της θάλασσας της Λ...
Συλλογή και αφομοίωση δεδομενων Glider κατά μήκος διατομής της θάλασσας της Λ...Hellenic Centre for Marine Research
 
Sakkas.ppt
Sakkas.pptSakkas.ppt
Sakkas.pptgrssieee
 
Traverse @surveyingreport
Traverse @surveyingreportTraverse @surveyingreport
Traverse @surveyingreportKiplimoCalvin
 
Inter-sensor comparison of lake surface temperatures derived from MODIS, AVHR...
Inter-sensor comparison of lake surface temperatures derived from MODIS, AVHR...Inter-sensor comparison of lake surface temperatures derived from MODIS, AVHR...
Inter-sensor comparison of lake surface temperatures derived from MODIS, AVHR...Sajid Pareeth
 
Powerpoint presentation for data logging
Powerpoint presentation for data loggingPowerpoint presentation for data logging
Powerpoint presentation for data loggingSufinah Ensian
 
Data logging
Data loggingData logging
Data loggingLim1990
 
Day 2 santosh nepal, icimod, arrcc-carissa workshop
Day 2 santosh nepal, icimod, arrcc-carissa workshopDay 2 santosh nepal, icimod, arrcc-carissa workshop
Day 2 santosh nepal, icimod, arrcc-carissa workshopICIMOD
 

Similar to Schmaljohann eou (14)

1_Buck - Wavemil Steps IGARSS-11.ppt
1_Buck - Wavemil Steps IGARSS-11.ppt1_Buck - Wavemil Steps IGARSS-11.ppt
1_Buck - Wavemil Steps IGARSS-11.ppt
 
1_Buck - Wavemil Steps IGARSS-11.ppt
1_Buck - Wavemil Steps IGARSS-11.ppt1_Buck - Wavemil Steps IGARSS-11.ppt
1_Buck - Wavemil Steps IGARSS-11.ppt
 
C5.06: Argo: Recent Insights and Future Evolution - Susan Wijffels
C5.06: Argo: Recent Insights and Future Evolution - Susan WijffelsC5.06: Argo: Recent Insights and Future Evolution - Susan Wijffels
C5.06: Argo: Recent Insights and Future Evolution - Susan Wijffels
 
Συλλογή και αφομοίωση δεδομενων Glider κατά μήκος διατομής της θάλασσας της Λ...
Συλλογή και αφομοίωση δεδομενων Glider κατά μήκος διατομής της θάλασσας της Λ...Συλλογή και αφομοίωση δεδομενων Glider κατά μήκος διατομής της θάλασσας της Λ...
Συλλογή και αφομοίωση δεδομενων Glider κατά μήκος διατομής της θάλασσας της Λ...
 
Sakkas.ppt
Sakkas.pptSakkas.ppt
Sakkas.ppt
 
Traverse @surveyingreport
Traverse @surveyingreportTraverse @surveyingreport
Traverse @surveyingreport
 
practica 6 geomatica
practica 6 geomaticapractica 6 geomatica
practica 6 geomatica
 
Inter-sensor comparison of lake surface temperatures derived from MODIS, AVHR...
Inter-sensor comparison of lake surface temperatures derived from MODIS, AVHR...Inter-sensor comparison of lake surface temperatures derived from MODIS, AVHR...
Inter-sensor comparison of lake surface temperatures derived from MODIS, AVHR...
 
2520633.ppt
2520633.ppt2520633.ppt
2520633.ppt
 
Powerpoint presentation for data logging
Powerpoint presentation for data loggingPowerpoint presentation for data logging
Powerpoint presentation for data logging
 
Data logging
Data loggingData logging
Data logging
 
Day 2 santosh nepal, icimod, arrcc-carissa workshop
Day 2 santosh nepal, icimod, arrcc-carissa workshopDay 2 santosh nepal, icimod, arrcc-carissa workshop
Day 2 santosh nepal, icimod, arrcc-carissa workshop
 
Data logging
Data loggingData logging
Data logging
 
GROUNDWATER FLOW SIMULATION IN GUIMARAS ISLAND, PHILIPPINE
GROUNDWATER FLOW SIMULATION IN GUIMARAS ISLAND, PHILIPPINEGROUNDWATER FLOW SIMULATION IN GUIMARAS ISLAND, PHILIPPINE
GROUNDWATER FLOW SIMULATION IN GUIMARAS ISLAND, PHILIPPINE
 

Recently uploaded

Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...panagenda
 
All These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDFAll These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDFMichael Gough
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfpanagenda
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS:  6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS:  6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integrationmarketing932765
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...Wes McKinney
 
Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024TopCSSGallery
 
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Alkin Tezuysal
 
React Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App FrameworkReact Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App FrameworkPixlogix Infotech
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Strongerpanagenda
 
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks  and Compliance Requirements i...Abdul Kader Baba- Managing Cybersecurity Risks  and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...itnewsafrica
 
Irene Moetsana-Moeng: Stakeholders in Cybersecurity: Collaborative Defence fo...
Irene Moetsana-Moeng: Stakeholders in Cybersecurity: Collaborative Defence fo...Irene Moetsana-Moeng: Stakeholders in Cybersecurity: Collaborative Defence fo...
Irene Moetsana-Moeng: Stakeholders in Cybersecurity: Collaborative Defence fo...itnewsafrica
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Mark Goldstein
 
A Glance At The Java Performance Toolbox
A Glance At The Java Performance ToolboxA Glance At The Java Performance Toolbox
A Glance At The Java Performance ToolboxAna-Maria Mihalceanu
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Nikki Chapple
 
Digital Tools & AI in Career Development
Digital Tools & AI in Career DevelopmentDigital Tools & AI in Career Development
Digital Tools & AI in Career DevelopmentMahmoud Rabie
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsNathaniel Shimoni
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesKari Kakkonen
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part two: Dat...
Microsoft 365 Copilot: How to boost your productivity with AI – Part two: Dat...Microsoft 365 Copilot: How to boost your productivity with AI – Part two: Dat...
Microsoft 365 Copilot: How to boost your productivity with AI – Part two: Dat...Nikki Chapple
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesThousandEyes
 
React JS; all concepts. Contains React Features, JSX, functional & Class comp...
React JS; all concepts. Contains React Features, JSX, functional & Class comp...React JS; all concepts. Contains React Features, JSX, functional & Class comp...
React JS; all concepts. Contains React Features, JSX, functional & Class comp...Karmanjay Verma
 

Recently uploaded (20)

Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
 
All These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDFAll These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDF
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS:  6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS:  6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
 
Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024
 
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
 
React Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App FrameworkReact Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App Framework
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
 
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks  and Compliance Requirements i...Abdul Kader Baba- Managing Cybersecurity Risks  and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
 
Irene Moetsana-Moeng: Stakeholders in Cybersecurity: Collaborative Defence fo...
Irene Moetsana-Moeng: Stakeholders in Cybersecurity: Collaborative Defence fo...Irene Moetsana-Moeng: Stakeholders in Cybersecurity: Collaborative Defence fo...
Irene Moetsana-Moeng: Stakeholders in Cybersecurity: Collaborative Defence fo...
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
 
A Glance At The Java Performance Toolbox
A Glance At The Java Performance ToolboxA Glance At The Java Performance Toolbox
A Glance At The Java Performance Toolbox
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
 
Digital Tools & AI in Career Development
Digital Tools & AI in Career DevelopmentDigital Tools & AI in Career Development
Digital Tools & AI in Career Development
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directions
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examples
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part two: Dat...
Microsoft 365 Copilot: How to boost your productivity with AI – Part two: Dat...Microsoft 365 Copilot: How to boost your productivity with AI – Part two: Dat...
Microsoft 365 Copilot: How to boost your productivity with AI – Part two: Dat...
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
 
React JS; all concepts. Contains React Features, JSX, functional & Class comp...
React JS; all concepts. Contains React Features, JSX, functional & Class comp...React JS; all concepts. Contains React Features, JSX, functional & Class comp...
React JS; all concepts. Contains React Features, JSX, functional & Class comp...
 

Schmaljohann eou

  • 1. Spatiotemporal organization of songbird migration covering 30,000 km Heiko Schmaljohann, James W. Fox & Franz Bairlein Institute of Avian Research „Vogelwarte Helgoland“
  • 2. Introduction movement ecology • quantify migration in a high spatiotemporal resolution Nathan et al. 2008 PNAS elements of migration • flight route, flight direction, stopover duration, flight speed, fuel deposition rate optimal migration theory Alerstam & Lindström 1990 Phys & Ecophys • predicts by assuming time minimization as the overall strategy that the bird’s fuel load is a function of stopover duration, fuel deposition rate, flight routes and flight speed Lindström & Alerstam 1992 Am Nat, Hedenström & Alerstam 1995 Phil Trans R Soc B, Alerstam 2001 Science, Hedenström 2008 Phil Trans R Soc B
  • 3. Introduction studies • in large birds by satellite tracking (geese, raptors) Mandel et al. 2008 PNAS, Klaassen et al. 2010 Proc R Soc B • but not in small birds: due to weights of tracking devices studies have been focused on single flight legs / stopover sites Lindström and Alerstam 1992 Am Nat, Wikelski et al. 2003 Nature, Schmaljohann & Naef-Daenzer 2011 J Anim Ecol light-level geolocator „Light-level geolocation is the calculation of position from ambient light level readings with reference to time.“ BAS • development of light-level geolocators has set ecologists in a euphoric mood Shaffer et al. 2008 PNAS, Robinson et al. 2009 TREE, Stutchbury et al. 2009 Science, Bächler et al. 2010 PLoSONE, Conklin et al. 2010 Nat Comm, Egevang et al. 2010 PNAS
  • 4. Introduction light-level geolocator • advantage - small and „cheap“ • disadvantage - sample size depends on recapture probability - equinoxes (is the date when the day length is the same throughout all latitudes) „2-3 weeks around each equinox the calculation of latitude is unreliable or impossible!“ BAS this is the main migration period of many bird species! Stutchbury et al. 2009 Science, Bächler et al. 2010 PLoSONE
  • 5. Introduction Purple Martin (Progne subis) Wood Thrush (Hylocichla mustelina) Stutchbury et al. 2009 Science
  • 6. Introduction Longitude is unaffected by equinox. Bächler et al. 2010 PLoSONE
  • 7. Introduction northern wheatear (Oenanthe oenanthe) - insectivorous songbird (~ 30 g) - nearly circumpolar breeding distribution - prefers open habitats (tundra, savannah) - all over-winter south of the Sahara
  • 8. Aim of study to quantify migration in a high spatiotemporal resolution allows a detailed description of northern wheatear’s migration strategy - flight route - organization of stopover - flight speeds - temporal distribution of life history stages within an annual cycle
  • 9. Methods Alaska June 2009: 30 birds with geolocators June 2010: 5 returned, gained 3 geolocators
  • 10. Methods Precalibration Helgoland, Germany (54° 11’ N, 07° 55’ E) 20th May - 27th of May 2009 Accuracy of single fixes to the reference site during precalibration was limited to 76 ± 33 km (nnumber of fixes = 39). longitudinal deviation: 45.6 ± 35.0 km latitudinal deviation: 47.1 ± 37.6 km (nnumber of fixes = 39)
  • 12. Methods 160° W ● midnight fix ● noon fix 160° E 120° E 6 80° E 8 6 40° E 1.4. 15.4. 1.5. 15.5 Spring 2010
  • 13. Methods Defining stopover sites > 2 noon fixes within 1° of longitude Dierschke & Delingat 2001 Behav Ecol Sociobiol, Schmaljohann & Dierschke 2005 J Anim Ecol Dierschke, Mendel & Schmaljohann 2005 Behav Ecol Sociobiol, Schmaljohann et al. 2011 J Ornithol, Schmaljohann & Naef-Daenzer 2011 J Anim Ecol
  • 14. Methods 160° W ● midnight fix ● noon fix 160° E 120° E 6 80° E 8 6 6 40° E 1.4. 15.4. 1.5. 15.5 Spring 2010
  • 15. Methods 160° W 5 ● midnight fix ● noon fix 5 160° E 120° E 4 80° E 5 4 10 18 9 8 40° E 15.10. 15.11. 15.8. 1.9. 15.9. 1.10. 1.11. 1.12. Autumn 2009
  • 17. Methods raw data, NO outliners
  • 18. Methods Local Polynomial Regression Fitting; loess(latitude ~ longitude, data excluding „outliners“)
  • 19. Methods raw data, 7 outliners not shown
  • 21. Methods Estimating „uncertainty“ of migration route raw fix ● distance of raw fix to smoothed migration route smoothed migration route
  • 22. Methods 106 ± 107 km, n = 15 220 ± 212 km, n = 37
  • 23. Results – migration strategy A D mean ± SD distance of fixes from smoothed lines A: 156 ± 153 km, n = 14 B B: 276 ± 155 km, n = 7 C: 719 ± 577 km, n = 18 C D: 99 ± 59 km, n = 15
  • 24. Results – migration strategy Onset of autumn migration 17 Aug, 20 Aug, 20 Aug 2009 Distance between stopover prior to Arabian desert ~ 280 ± 115 km Arrival in eastern Africa 11 Nov, 13 Nov, 14 Nov 2009 Distance of autumn migration 14.800 km, 14.900 km, 15.300 km Ø migration speed autumn ~160 km·day-1 [370 km·night-1] Distance between wintering areas ~ 400 ± 180 km Onset of spring migration 8 Apr, 30 Mar, 28 Mar 2010 Arrival at breeding area -, 23 May, 24 May 2010 Distance of spring migration -, 14.100 km, 14.250 km Ø migration speed spring ~260 km·day-1 [400 - 500 km·night-1]
  • 25. Results – migration strategy search and settling time/cost to establish feeding territories and to adapt physiologically to replenish their energy expenditure from the previous flight Alerstam & Lindström 1990 Phys & Ecophys, Alerstam & Hedenström 1998 J Avian Biol, Jenni & Schaub 2003 Bird Migration this search and settling time is an important hypothesis influencing the predicted fuel load, stopover duration and number of flights during the entire migration Alerstam & Lindström 1990 Phys & Ecophys only little evidence for a natural search and settling time Schwilch & Jenni 2001 Auk, Delingat et al. 2006 Ardea “stop-and-go” migration strategy for Alaskan northern wheatears This diminishes the biological importance of a search and settling time at least for northern wheatears.
  • 26. Results – migration strategy overall migratory speed “two” times higher in spring than in autumn indicating a higher time pressure to reach the migratory goal Hall-Karlsson & Fransson 2008 Ring & Mig, Stutchbury et al. 2009 Science, Bächler et al. 2010 PLoSONE as northern wheatears migrate only at night, also when crossing ecological land barriers, the nocturnal flight speed ranged here between 300 and 500 km·night-1 Schmaljohann et al. 2007 Proc R Soc B, Schmaljohann & Naef-Daenzer 2011 J Anim Ecol These nocturnal flight speeds are far higher than formerly predicted.
  • 27. Results – migration strategy breeding spatiotemporal organization ~ 70 days + complete moult spring ~ 50 days migration breeding area ~ 55 days ~ 80 days autumn migration ~ 88 days wintering area ~ 140 days To maximize the flexibility in timing of the life history stages northern wheatears overlap breeding and moult. McNamara & Houston 2008 Phil Trans R Soc B, Wingfield 2008 Phil Trans R Soc B
  • 28. take-home massages optimal migration theory search and settling time seems to be low flight speed of songbirds: up to 500 km per night overlap of life history stages (breeding and moult) to maximize the flexibility in timing of these
  • 29. Thank you for your attention! Thanks to Marc Bulte, Ommo Hüppop, Rolf Nagel, Freimut Schramm Kevin Winker Beth Pattinson Robert Gill Ellen Paul Susan Sharbaugh Beat Neaf-Daenzer Rachel Muheim