On the History of ANOVA in Unbalanced, Factorial Designs: The First 30 Years

Herr, David G.

doi:10.2307/2684597

Cited by 22 publications

(25 citation statements)

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“…Estimating deviance contributions was complicated by the consistently large effect of sampling effort in two of our analyses (local‐scale pollinators = log(replicates), DBIF = log(sources)), so we calculated two measures that incorporated the type I and type II SS (Herr, ) explained by our predictors of interest. A minimum estimate of the deviance ( D ) explained by all other predictors after accounting for sampling effort:

D = \frac{type II deviance of all other predictors}{null deviance - type II deviance of sampling effort}

A maximum estimate of the deviance ( D ) explained by all other predictors after accounting for sampling effort:

D = \frac{\begin{matrix} type I deviance of all other predictors \\ + type II deviance of all other predictors \end{matrix}}{null deviance - type II deviance of sampling effort}

…”

Section: Methodsmentioning

confidence: 99%

Introduced plants as novel Anthropocene habitats for insects

Padovani

Salisbury

Bostock

et al. 2019

Global Change Biology

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Major environmental changes in the history of life on Earth have given rise to novel habitats, which gradually accumulate species. Human‐induced change is no exception, yet the rules governing species accumulation in anthropogenic habitats are not fully developed. Here we propose that nonnative plants introduced to Great Britain may function as analogues of novel anthropogenic habitats for insects and mites, analysing a combination of local‐scale experimental plot data and geographic‐scale data contained within the Great Britain Database of Insects and their Food Plants. We find that novel plant habitats accumulate the greatest diversity of insect taxa when they are widespread and show some resemblance to plant habitats which have been present historically (based on the relatedness between native and nonnative plant species), with insect generalists colonizing from a wider range of sources. Despite reduced per‐plant diversity, nonnative plants can support distinctive insect communities, sometimes including insect taxa that are otherwise rare or absent. Thus, novel plant habitats may contribute to, and potentially maintain, broader‐scale (assemblage) diversity in regions that contain mixtures of long‐standing and novel plant habitats.

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D = \frac{type II deviance of all other predictors}{null deviance - type II deviance of sampling effort}

A maximum estimate of the deviance ( D ) explained by all other predictors after accounting for sampling effort:

D = \frac{\begin{matrix} type I deviance of all other predictors \\ + type II deviance of all other predictors \end{matrix}}{null deviance - type II deviance of sampling effort}

…”

Section: Methodsmentioning

confidence: 99%

Introduced plants as novel Anthropocene habitats for insects

Padovani

Salisbury

Bostock

et al. 2019

Global Change Biology

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“…We performed SS type III models, presenting partial effects of the variables by controlling for the effect of one variable over all others [53].…”

Section: Methodsmentioning

confidence: 99%

Climate-Driven Variation in the Intensity of a Host-Symbiont Animal Interaction along a Broad Elevation Gradient

et al. 2014

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Gradients of environmental stress may affect biotic interactions in unpredictable ways responding to climate variation, depending on the abiotic stress tolerance of interacting partners. Here, we study the effect of local climate on the intensity of feather mites in six mountain passerines along a 1400 m elevational gradient characterized by shifting temperature and rainfall. Although obligatory symbionts of warm-blooded organisms are assumed to live in mild and homeothermic environments, those inhabiting external, non-blood-irrigated body portions of the host organism, such as feather mites, are expected to endure exposure to the direct influence of a fluctuating climate. As expected, feather mite intensity declined with elevation in all bird species, a pattern that was also found in cold-adapted passerines that have typical alpine habits. The elevation cline was mainly explained by a positive effect of the average temperature upon mite intensity in five of the six species studied. Precipitation explained less variance in mite intensity than average temperature, and showed a negative correlation in half of the studied species. We found no climate-driven migration of mites along the wings of birds, no replacement of mite species along elevation gradients and no association with available food resources for mites (estimated by the size of the uropygial gland). This study suggests that ectosymbionts of warm-blooded animals may be highly sensitive to climatic variation and become less abundant under stressful environmental conditions, providing empirical evidence of the decline of specialized biotic interactions among animal species at high elevations.

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“…We used type III sums of squares for the models including interaction, and type II sums of squares for the simplified model without interaction (Herr et al. ). The Kenward‐Roger approximation of degrees of freedom was used.…”

Section: Methodsmentioning

confidence: 99%

“…Hypotheses were tested using the "ANOVA" function provided by the lmerTest package (Kuznetsova et al 2016). We used type III sums of squares for the models including interaction, and type II sums of squares for the simplified model without interaction (Herr et al 2016). The Kenward-Roger approximation of degrees of freedom was used.…”

Section: Statisticsmentioning

confidence: 99%

Male-limited secondary sexual trait interacts with environment in determining female fitness

2018

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Selection for secondary sexual trait (SST) elaboration may increase intralocus sexual conflict over the optimal values of traits expressed from shared genomes. This conflict can reduce female fitness, and the resulting gender load can be exacerbated by environmental stress, with consequences for a population's ability to adapt to novel environments. However, how the evolution of SSTs interacts with environment in determining female fitness is not well understood. Here, we investigated this question using replicate lines of bulb mites selected for increased or decreased prevalence of a male SST—thickened legs used as weapons. The fitness of females from these lines was measured at a temperature to which the mites were adapted (24°C), as well as at two novel temperatures: 18°C and 28°C. We found the prevalence of the SST interacted with temperature in determining female fecundity. At 28°C, females from populations with high SST prevalence were less fecund than females from populations in which the SST was rare, but the reverse was true at 18°C. Thus, a novel environment does not universally depress female fitness more in populations with a high degree of sexually selected dimorphism. We discuss possible consequences of the interaction we detected for adaptation to novel environments.

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On the History of ANOVA in Unbalanced, Factorial Designs: The First 30 Years

Cited by 22 publications

References 0 publications

Introduced plants as novel Anthropocene habitats for insects

Introduced plants as novel Anthropocene habitats for insects

Climate-Driven Variation in the Intensity of a Host-Symbiont Animal Interaction along a Broad Elevation Gradient

Male-limited secondary sexual trait interacts with environment in determining female fitness

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