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An integrative, peer‐reviewed and open‐source cooperative‐breeding database (Co‐BreeD)

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2025

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Bruscagnin, Lucia
Kestel, Natalie
Markman, Shai
Drobniak, Szymon M.
Baglione, Vittorio
Boersma, Jordan
Cousseau, Laurence

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Deutsche Forschungsgemeinschaft (DFG): 4650/2‐1
Deutsche Forschungsgemeinschaft (DFG): EXC 2117‐422037984

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Open Access-Veröffentlichung
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Journal of Animal Ecology. Wiley. 2025, 94(12), S. 2597-2614. ISSN 0021-8790. eISSN 1365-2656. Verfügbar unter: doi: 10.1111/1365-2656.70154

Zusammenfassung

  1. Large-scale, cross-species comparative analyses on cooperative breeding—where individuals care for the offspring of other group members—are important for understanding sociality and cooperation. However, the datasets that facilitate these analyses are often limited in precision. To advance comparative research on cooperative breeding, we hereby introduce the Cooperative-Breeding Database (Co-BreeD) for birds and mammals.

  2. We describe key features of Co-BreeD's structure: (i) integration of complementary datasets, each presenting a biological parameter relevant to cooperative-breeding research; (ii) sample-based (i.e. multiple samples per species linked to an exact sampling location and period); and (iii) open-source. Respectively, these features enable: (a) comprehensive identification of cooperative-breeding species according to the user's chosen definition, (b) linking intra- and inter-specific variation in traits with fine-scale environmental parameters and (c) enabling the research community to correct and expand this database.

  3. We present the initial Co-BreeD dataset, which estimates the prevalence of breeding events involving potential alloparents in 460 populations of 324 species, including 6 human populations (No. total = 43,247 breeding events).

  4. We conclude by demonstrating: (i) how Co-BreeD can improve comparative research (e.g. by enabling the study of cooperative breeding as a continuous rather than a binary trait); and (ii) that cooperative breeding is probably more prevalent than previously estimated in birds and mammals.

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570 Biowissenschaften, Biologie

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ISO 690BEN MOCHA, Yitzchak, Maike WOITH, Sophie SCEMAMA DE GIALLULY, Lucia BRUSCAGNIN, Natalie KESTEL, Shai MARKMAN, Szymon M. DROBNIAK, Vittorio BAGLIONE, Jordan BOERSMA, Laurence COUSSEAU, Rita COVAS, Guilherme Henrique BRAGA DE MIRANDA, Cody J. DEY, Claire DOUTRELANT, Roman GULA, Robert HEINSOHN, Oded KEYNAN, Sjouke A. KINGMA, Ana V. LEITÃO, Jianqiang LI, Lindelani MAKUYA, Kyle‐Mark MIDDLETON, Stephen PRUETT‐JONES, Andrew N. RADFORD, Carla RESTREPO, Dustin R. RUBENSTEIN, Carsten SCHRADIN, Jörn THEUERKAUF, Miyako H. WARRINGTON, Dean A. WILLIAMS, Iain A. WOXVOLD, Michael GRIESSER, 2025. An integrative, peer‐reviewed and open‐source cooperative‐breeding database (Co‐BreeD). In: Journal of Animal Ecology. Wiley. 2025, 94(12), S. 2597-2614. ISSN 0021-8790. eISSN 1365-2656. Verfügbar unter: doi: 10.1111/1365-2656.70154
BibTex
@article{BenMocha2025-10-23integ-76229,
  title={An integrative, peer‐reviewed and open‐source cooperative‐breeding database (Co‐BreeD)},
  year={2025},
  doi={10.1111/1365-2656.70154},
  number={12},
  volume={94},
  issn={0021-8790},
  journal={Journal of Animal Ecology},
  pages={2597--2614},
  author={Ben Mocha, Yitzchak and Woith, Maike and Scemama de Gialluly, Sophie and Bruscagnin, Lucia and Kestel, Natalie and Markman, Shai and Drobniak, Szymon M. and Baglione, Vittorio and Boersma, Jordan and Cousseau, Laurence and Covas, Rita and Braga de Miranda, Guilherme Henrique and Dey, Cody J. and Doutrelant, Claire and Gula, Roman and Heinsohn, Robert and Keynan, Oded and Kingma, Sjouke A. and Leitão, Ana V. and Li, Jianqiang and Makuya, Lindelani and Middleton, Kyle‐Mark and Pruett‐Jones, Stephen and Radford, Andrew N. and Restrepo, Carla and Rubenstein, Dustin R. and Schradin, Carsten and Theuerkauf, Jörn and Warrington, Miyako H. and Williams, Dean A. and Woxvold, Iain A. and Griesser, Michael}
}
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 2. We describe key features of Co-BreeD's structure: (i) integration of complementary datasets, each presenting a biological parameter relevant to cooperative-breeding research; (ii) sample-based (i.e. multiple samples per species linked to an exact sampling location and period); and (iii) open-source. Respectively, these features enable: (a) comprehensive identification of cooperative-breeding species according to the user's chosen definition, (b) linking intra- and inter-specific variation in traits with fine-scale environmental parameters and (c) enabling the research community to correct and expand this database.
    
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