Literature DB >> 21284624

Determinants of reproductive success in dominant pairs of clownfish: a boosted regression tree analysis.

Peter M Buston1, Jane Elith.   

Abstract

1. Central questions of behavioural and evolutionary ecology are what factors influence the reproductive success of dominant breeders and subordinate nonbreeders within animal societies? A complete understanding of any society requires that these questions be answered for all individuals. 2. The clown anemonefish, Amphiprion percula, forms simple societies that live in close association with sea anemones, Heteractis magnifica. Here, we use data from a well-studied population of A. percula to determine the major predictors of reproductive success of dominant pairs in this species. 3. We analyse the effect of multiple predictors on four components of reproductive success, using a relatively new technique from the field of statistical learning: boosted regression trees (BRTs). BRTs have the potential to model complex relationships in ways that give powerful insight. 4. We show that the reproductive success of dominant pairs is unrelated to the presence, number or phenotype of nonbreeders. This is consistent with the observation that nonbreeders do not help or hinder breeders in any way, confirming and extending the results of a previous study. 5. Primarily, reproductive success is negatively related to male growth and positively related to breeding experience. It is likely that these effects are interrelated because males that grow a lot have little breeding experience. These effects are indicative of a trade-off between male growth and parental investment. 6. Secondarily, reproductive success is positively related to female growth and size. In this population, female size is positively related to group size and anemone size, also. These positive correlations among traits likely are caused by variation in site quality and are suggestive of a silver-spoon effect. 7. Noteworthily, whereas reproductive success is positively related to female size, it is unrelated to male size. This observation provides support for the size advantage hypothesis for sex change: both individuals maximize their reproductive success when the larger individual adopts the female tactic. 8. This study provides the most complete picture to date of the factors that predict the reproductive success of dominant pairs of clown anemonefish and illustrates the utility of BRTs for analysis of complex behavioural and evolutionary ecology data.
© 2011 The Authors. Journal of Animal Ecology © 2011 British Ecological Society.

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Year:  2011        PMID: 21284624     DOI: 10.1111/j.1365-2656.2011.01803.x

Source DB:  PubMed          Journal:  J Anim Ecol        ISSN: 0021-8790            Impact factor:   5.091


  24 in total

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Authors:  Peter M Buston; Geoffrey P Jones; Serge Planes; Simon R Thorrold
Journal:  Proc Biol Sci       Date:  2011-12-07       Impact factor: 5.349

2.  Fishing, fast growth and climate variability increase the risk of collapse.

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3.  Reproductive control via the threat of eviction in the clown anemonefish.

Authors:  T Rueger; T A Barbasch; M Y L Wong; M Srinivasan; G P Jones; P M Buston
Journal:  Proc Biol Sci       Date:  2018-11-21       Impact factor: 5.349

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Authors:  Sarah V Wyse; John B Dickie
Journal:  Ann Bot       Date:  2018-01-25       Impact factor: 4.357

5.  Google Street View as an alternative method to car surveys in large-scale vegetation assessments.

Authors:  Ernesto Deus; Joaquim S Silva; Filipe X Catry; Miguel Rocha; Francisco Moreira
Journal:  Environ Monit Assess       Date:  2016-09-13       Impact factor: 2.513

6.  Long-term exposure to artificial light at night in the wild decreases survival and growth of a coral reef fish.

Authors:  Jules Schligler; Daphne Cortese; Ricardo Beldade; Stephen E Swearer; Suzanne C Mills
Journal:  Proc Biol Sci       Date:  2021-06-09       Impact factor: 5.349

7.  Exploring macroinvertebrate species distributions at regional and local scales across a sandy beach geographic continuum.

Authors:  Iván F Rodil; Tanya J Compton; Mariano Lastra
Journal:  PLoS One       Date:  2012-06-25       Impact factor: 3.240

8.  Both real-time and long-term environmental data perform well in predicting shorebird distributions in managed habitat.

Authors:  Erin E Conlisk; Gregory H Golet; Mark D Reynolds; Blake A Barbaree; Kristin A Sesser; Kristin B Byrd; Sam Veloz; Matthew E Reiter
Journal:  Ecol Appl       Date:  2022-04-24       Impact factor: 6.105

9.  Mapping hotspots of malaria transmission from pre-existing hydrology, geology and geomorphology data in the pre-elimination context of Zanzibar, United Republic of Tanzania.

Authors:  Andrew Hardy; Zawadi Mageni; Stefan Dongus; Gerry Killeen; Mark G Macklin; Silas Majambare; Abdullah Ali; Mwinyi Msellem; Abdul-Wahiyd Al-Mafazy; Mark Smith; Chris Thomas
Journal:  Parasit Vectors       Date:  2015-01-22       Impact factor: 3.876

10.  Climatic and Catchment-Scale Predictors of Chinese Stream Insect Richness Differ between Taxonomic Groups.

Authors:  Jonathan D Tonkin; Deep Narayan Shah; Mathias Kuemmerlen; Fengqing Li; Qinghua Cai; Peter Haase; Sonja C Jähnig
Journal:  PLoS One       Date:  2015-04-24       Impact factor: 3.240

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