Spatial autocorrelation and host anemone species drive variation in local components of fitness in a wild clownfish population

Published: 5 November 2025| Version 1 | DOI: 10.17632/w7x5bd3nd9.1
Contributors:
Benoit Pujol, Pascal Marrot, Cécile Fauvelot, Michael Berumen, Maya Srinivasan, Geoffrey Jones, serge planes

Description

These are data files and script files associated to the article "Spatial autocorrelation and host anemone species drive variation in local components of fitness in a wild clownfish population" published in Peer Community Journal https://doi.org/10.24072/pcjournal.493. These files include the data and code of scripts used for statistical analyses conducted in R, and figures. Data collection was supported by Laboratoire d’Excellence CORAIL, Expenditure Review Committee, Coral Reef Initiatives for the Pacific, the Global Environment Facility Coral Reef, Targeted Research Connectivity Working Group, National Science Foundation, the Australian Research Council Centre of Excellence Coral Reef Studies, The Nature Conservancy, Total Foundation, James Cook University, King Abdullah University of Science and Technology Research visas were approved by the Papua New Guinea (PNG) government and research protocols were endorsed by the Board of Mahonia Na Dari Research and Conservation Centre, Kimbe, PNG. We thank the large number of volunteers who assisted in the field and collected tissue samples. Mahonia and FeBrina provided essential logistic support. We are grateful to the traditional owners of the reefs near Kimbe Island for allowing us access to their reefs. The publication, data and scripts accessibility have been peer-reviewed and recommended by Peer Community In Evolutionary Biology (PCI Evol Biol) (https://doi.org/10.24072/pci.evolbiol.100698; de Villemereuil, 2024).

Files

Steps to reproduce

The material and methods section in the article "Spatial autocorrelation and host anemone species drive variation in local components of fitness in a wild clownfish population" published in Peer Community Journal https://doi.org/10.24072/pcjournal.493. describes in details how the data was gathered, which methods and protocols were used, and instruments, reagents, software or workflows as to reproduce the research.

Institutions

  • CNRS Delegation Languedoc-Roussillon
  • Universite de Perpignan

Categories

Evolutionary Ecology, Fish, Quantitative Genetics, Natural Selection, Coral Reef

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