e-journal

Modelling heterogeneity among fitness functions using random regression

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1. Statistical approaches for testing hypotheses of heterogeneity in fitness functions are needed to accommodate
studies of phenotypic selection with repeated sampling across study units, populations or years. In this study, we
tested directly for among-population variation in complex fitness functions and demonstrate a new approach for
locating the region of the trait distribution where variation in fitness and traits is greatest.
2. We modelled heterogeneity in fitness functions among populations by treating regression coefficients of fitness
on traits as random variates.We applied randomregression using two model specifications, (i) spline-based curve
and (ii) stepwise, to a 2-year study of selection among 16 populations of the gall wasp, Belonocnema treatae. Loglikelihood ratio tests of variance components and 10-fold cross-validation were used to assess the evidence that
selection varied among populations.
3. Ten-fold cross-validation prediction error sums of squares (PSS) indicated that spline-based fitness functions
were population specific and that the strength of evidence for heterogeneity in selection differed between years.
Hypothesis testing of variance components from both models was consistent with the PSS results. Both the stepwisemodel
and the local prediction error estimates of spline-based fitness functions identified the region(s) of the
phenotype distribution harbouring the greatest heterogeneity among populations.
4. The adopted framework advances our understanding of phenotypic selection in natural populations by
extending the analysis of spline-based fitness functions to testing for heterogeneity among study units and isolating
the regions of the phenotypic distribution where this variation is most pronounced.

Key-words: adaptive landscape, phenotypic selection, spatially variable selection

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Informasi Detail

Judul Seri

Methods in Ecology and Evolution

No. Panggil

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Penerbit

: British Ecological Society., 2016

Deskripsi Fisik

Methods in Ecology and Evolution 2016, 7, 70–79

Bahasa

English

ISBN/ISSN

doi: 10.1111/2041-21

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

BIOLOGI

Info Detail Spesifik

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Pernyataan Tanggungjawab

Wati/Agus

Versi lain/terkait

Lampiran Berkas

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