Expert system for modelling stopover site selection by barnacle geese

Mitra Shariati Najafabadi, Andrew K. Skidmore, Roshanak Darvishzadeh, Klaus-Michael Exo, Andrea Kölzsch, Larry Griffin, Julia Stahl, David Cabot, Albertus G. Toxopeus

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Abstract

The study of stopover sites has received a lot of attention in avian ecology, being especially important for many long-distance migrants, some of which have to pause several times during migration. The survival of many migratory birds depends primarily on food availability at these stopovers. However, previous studies show that there is a lack of knowledge about site selection where migratory birds stop to refuel energy stores. In the present study, a Bayesian expert system has been used to incorporate environmental parameters, to determine their relationship with the presence of barnacle geese at stopover sites. Data on stopover sites was obtained from satellite-tracked barnacle geese (Branta leucopsis) for three different breeding populations in the Western Palearctic (i.e. Russian, Svalbard and Greenland). The results from the present study showed that the posterior probability of presence at the stopover sites obtained from the Bayesian model was close to one. Therefore, the Bayesian expert system detected the stopover sites of the geese correctly and can be used as a proper method for modelling the presence of barnacle geese at the stopover sites in the future. This study introduces a new method into movement ecology to identify and predict the importance of different environmental parameters for stopover site selection by migratory geese. This is particularly important from both a conservation and an agro-economic point of view with the goal of reducing possible conflicts between geese and agricultural interests.

Original languageEnglish
Pages (from-to)398-405
Number of pages8
JournalEcological modelling
Volume359
DOIs
Publication statusPublished - 10 Sep 2017

Fingerprint

stopover
expert system
site selection
modeling
ecology
breeding population
food availability
economics

Keywords

  • Foraging habitat
  • GPS locations
  • Human disturbance
  • Roosting areas
  • Site safety
  • ITC-ISI-JOURNAL-ARTICLE

Cite this

Shariati Najafabadi, Mitra ; Skidmore, Andrew K. ; Darvishzadeh, Roshanak ; Exo, Klaus-Michael ; Kölzsch, Andrea ; Griffin, Larry ; Stahl, Julia ; Cabot, David ; Toxopeus, Albertus G. / Expert system for modelling stopover site selection by barnacle geese. In: Ecological modelling. 2017 ; Vol. 359. pp. 398-405.
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Expert system for modelling stopover site selection by barnacle geese. / Shariati Najafabadi, Mitra; Skidmore, Andrew K.; Darvishzadeh, Roshanak; Exo, Klaus-Michael; Kölzsch, Andrea; Griffin, Larry; Stahl, Julia; Cabot, David; Toxopeus, Albertus G.

In: Ecological modelling, Vol. 359, 10.09.2017, p. 398-405.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Darvishzadeh, Roshanak

AU - Exo, Klaus-Michael

AU - Kölzsch, Andrea

AU - Griffin, Larry

AU - Stahl, Julia

AU - Cabot, David

AU - Toxopeus, Albertus G.

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N2 - The study of stopover sites has received a lot of attention in avian ecology, being especially important for many long-distance migrants, some of which have to pause several times during migration. The survival of many migratory birds depends primarily on food availability at these stopovers. However, previous studies show that there is a lack of knowledge about site selection where migratory birds stop to refuel energy stores. In the present study, a Bayesian expert system has been used to incorporate environmental parameters, to determine their relationship with the presence of barnacle geese at stopover sites. Data on stopover sites was obtained from satellite-tracked barnacle geese (Branta leucopsis) for three different breeding populations in the Western Palearctic (i.e. Russian, Svalbard and Greenland). The results from the present study showed that the posterior probability of presence at the stopover sites obtained from the Bayesian model was close to one. Therefore, the Bayesian expert system detected the stopover sites of the geese correctly and can be used as a proper method for modelling the presence of barnacle geese at the stopover sites in the future. This study introduces a new method into movement ecology to identify and predict the importance of different environmental parameters for stopover site selection by migratory geese. This is particularly important from both a conservation and an agro-economic point of view with the goal of reducing possible conflicts between geese and agricultural interests.

AB - The study of stopover sites has received a lot of attention in avian ecology, being especially important for many long-distance migrants, some of which have to pause several times during migration. The survival of many migratory birds depends primarily on food availability at these stopovers. However, previous studies show that there is a lack of knowledge about site selection where migratory birds stop to refuel energy stores. In the present study, a Bayesian expert system has been used to incorporate environmental parameters, to determine their relationship with the presence of barnacle geese at stopover sites. Data on stopover sites was obtained from satellite-tracked barnacle geese (Branta leucopsis) for three different breeding populations in the Western Palearctic (i.e. Russian, Svalbard and Greenland). The results from the present study showed that the posterior probability of presence at the stopover sites obtained from the Bayesian model was close to one. Therefore, the Bayesian expert system detected the stopover sites of the geese correctly and can be used as a proper method for modelling the presence of barnacle geese at the stopover sites in the future. This study introduces a new method into movement ecology to identify and predict the importance of different environmental parameters for stopover site selection by migratory geese. This is particularly important from both a conservation and an agro-economic point of view with the goal of reducing possible conflicts between geese and agricultural interests.

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