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The number of rings is related to the growth schedule.
As well as maintaining the plots and the massive spreadsheet projecting the growth schedule for the year, the coordinator works closely with teachers to help them plan lessons that make full use of the garden's potential.
In the present study, we model a growth schedule of coccolith-bearing coccolithophores in the asexual reproduction phase, aiming to theoretically evaluate how natural selection alters their optimal growth strategy as ocean acidification progresses.
The decrease in the net production rate (a) and/or the increases in calcification cost, dissolution factor, and defensible mortality risk (s, α, and P) can be regarded as 'acidification-driven costs', because they definitely lead to a decrease in the maximal fitness (r*), or the intrinsic rate of population increase achieved by the optimal growth schedule.
We provide a theoretical model on the growth schedule of coccolith-bearing coccolithophores in the asexual reproduction phase, aiming to predict how natural selection alters their phenotypes as ocean acidification progresses and to evaluate the resultant change in carbon fixation ability.
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The model developed here extends previous marine-reserve models (e.g., Guenette and Pitcher 1999; Baskett et al. 2005; Hart 2006; Miethe et al. 2009) by (i) considering the evolution of multiple life-history traits (for growth, maturation schedule, and reproductive investment), (ii) accounting for density dependence in growth and reproduction, and (iii) examining a migratory life history.
Conserved neurogenetic schedules might result in specific brain growth schedules with age, converging on a particular pattern according to brain size.
Briefly described, each individual carries genetic traits affecting its life history through growth rate, maturation schedule, and reproductive investment.
We consider consequences of growth and maturation schedule evolving separately versus concurrently and the effects of stochastic and density-dependent factors.
We developed an eco-genetic individual-based model to explore ecological and evolutionary interactions of fish growth and maturation schedules.
In addition to fishing-induced evolution, our model demonstrated drastic plastic changes for mean growth rates, maturation schedules, and population dynamics.
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