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Density data showed that the net effect of neighbours was positive and negative at low and high abiotic stress levels, respectively, whereas other estimators suggested that the net effect of neighbours did not differ with stress level.
However, this will identify β only under the assumption that μ=0, i.e. there is no direct effect of neighbours' treatment status.
The effect of neighbours on the survival and growth of target plants was not significant at either stress level, but that on the density and fecundity of target plants was positive (facilitation) and negative (competition) at the low and high abiotic stress level, respectively.
The metric ranges from +1 to −1 with negative values indicating competition and positive indicates facilitation, and two-tailed t-tests are used to test for differences from 0 (i.e. no relative difference in the effect of neighbours in mix to mono, alpha also set at 0.01).
However, when considering the effect of neighbours on the rate of whole cell area change, the dependence on the relative myosin phase of neighbours almost completely disappears (Fig. 1 j), reducing to an effect largely indistinguishable from randomised data in which neighbouring cells have been replaced by cells selected at random from the rest of the tissue (Additional file 4: Figure S4B).
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Similarly, we also found no consistent effect of neighbour identity on root responsiveness to a neighbour.
This model shares some features with the model of Blume et al. (2015), as different network matrices are used to capture the effects of neighbours' outcomes and characteristics, which helps to ease identification.
To consider the effects of neighbours, the parameter kphr is multiplied by an allosteric parameter (Table 3).
> Linear mixed models were used to analyse general patterns in the effects of neighbours on the focal plants, for each of the 10 response variables.
Visual examination of Figs 2 and 3 indicate no clear trends in responses across plant groups (eudicot versus monocot) or within families, nor consistent effects of neighbour identity on root system responses.
Competition response is the degree to which the performance of a reference tree is reduced given the competition effect of the neighbours.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com