2023
DOI: 10.1086/723599
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Nutrigonometry I: Using Right-Angle Triangles to Quantify Nutritional Trade-Offs in Performance Landscapes

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Cited by 4 publications
(8 citation statements)
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“…106, 0.002, 0.02 and 0.2) (see Dialog S1). Sex‐specific optimal PC ratio where compared using the angle θ and the hypothenuse obtained using the Nutrigonometry model (Morimoto et al., 2023). θ and the hypothenuse were calculated within each study and species and the averages of these estimates per species were used for the analysis of phylogenetic signal as described above.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…106, 0.002, 0.02 and 0.2) (see Dialog S1). Sex‐specific optimal PC ratio where compared using the angle θ and the hypothenuse obtained using the Nutrigonometry model (Morimoto et al., 2023). θ and the hypothenuse were calculated within each study and species and the averages of these estimates per species were used for the analysis of phylogenetic signal as described above.…”
Section: Methodsmentioning
confidence: 99%
“…higher variance) estimates of the posterior distribution of the phylogenetic signal for males. I used the Nutrigonometry model to the reconstructed performance landscapes to compute the optimal PC ratio region in the performance landscapes that maximised lifespan in each species (Morimoto et al, 2022(Morimoto et al, , 2023Morimoto & Lihoreau, 2019) (see Section 1 for details).…”
mentioning
confidence: 99%
“…We used the newly developed ‘Nutrigonometry’ model to test for nutritional trade-offs emerging as a result of fluctuating thermal regimes across the trait response surfaces (Morimoto et al ., 2023). Briefly, Nutrigonometry uses triangulation to identify the peak (or valley) regions of the trait response surfaces, from which comparisons can be made by applying Pythagoras theorem (Morimoto et al ., 2023). Two metrics are calculated using Nutrigonometry: (a) the angle θ i,j , which is an estimate of the distance between the identified location of peak regions in two response surfaces for traits i and j .…”
Section: Methodsmentioning
confidence: 99%
“…The metric h i,j therefore is a proxy for nutritional trade-offs with respect to nutrient intake or quantity (details in Morimoto et al ., 2023). We used Nutrigonometry with a general linear model specification as it was shown to lead to the most accurate identification of peak regions in trait response surfaces (Morimoto et al ., 2023). We estimated the peak region as the region comprising the highest 90% values for the trait response and these regions are represented as red polygons in our trait response surfaces.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation