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  4. A Roadmap for the Future Research of the White Stork Ciconia ciconia Population in Poland
 
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A Roadmap for the Future Research of the White Stork Ciconia ciconia Population in Poland

Type
Journal article
Language
English
Date issued
2024
Author
Tryjanowski, Piotr 
Białas, Joanna 
Jankowiak, Łukasz
Jerzak, Leszek
Mielczarek, Paweł
Nowak, Marta K.
Profus, Piotr
Siekiera, Joachim
Tobółka, Marcin 
Walasz, Kazimierz
Wuczyński, Andrzej
Zbyryt, Adam
Faculty
Wydział Medycyny Weterynaryjnej i Nauk o Zwierzętach
PBN discipline
biological sciences
Journal
Polish Journal of Ecology
ISSN
1505-2249
DOI
10.3161/15052249PJE2024.72.1.004
Volume
72
Number
1-2
Pages from-to
45-64
Abstract (EN)
T he white stork, Ciconia ciconia, is both a species familiar and charismatic to the public and a subject of extensive scientific re search. Poland harbours a substantial breeding population of this species, characterized by behaviours typical of long-distance migrants. To chart a future course for research on Poland’s white stork population, to deepen our understanding of its biology as well as advance conservation efforts, consultations were held with 41 Polish researchers engaged with this species. Collectively, these experts proposed 208 research queries, which were subsequently refined and condensed to 60, and each was categorized into one of 12 thematic groups identified throughout the process. An exami nation of the barriers to realizing these research topics (n = 60) was also undertaken. Identified impediments encompass e.g. financial limitations (12%), labour intensity (13%), and the lack of clarity in methodological directives (20%). Notably, a significant portion of these issues (42%) were deemed less appealing for scientific explo ration, particularly when the anticipated impact of publication— gauged by the prestige of the scientific journal—does not align proportionately with the required time and financial investment. Nonetheless, we anticipate shifts in the priorities and practicabil ity of these research topics, owing to substantial technological ad vancements in both field data acquisition and subsequent analysis. Consequently, we advocate for a continuous review process, such as a re-evaluation every 5 to 10 years, to reassess the relevancy of these topics, incorporating new ideas or potentially discarding some. Additionally, AI Chat GPT 4.0 was employed to perform similar analyses as those conducted by the authorial team. These data, which are challenging to interpret unambiguously, may also be utilized in the future for comparisons between the usefulness of topics proposed by experts and the language model.
Keywords (EN)
  • artificial intelligence

  • bird study

  • future scenarios

  • limitations

  • prognosis

  • resource allocations

License
closedaccessclosedaccess Closed Access
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