Sentence examples for random abundance from inspiring English sources

Exact(1)

In contrast, competition, mutualism, and neutralism in the simple model result in the extinction of either species with an even chance, perfect co-existence of the two species, and an initial condition-dependent random abundance respectively, all of which have an equal relative species abundance upon ensemble average (Additional file 1: Table S9).

Similar(59)

To establish a stochastic model with sources of both intrinsic and extrinsic noises, we employ the stochastic model with intrinsic noise, implemented by modified Gillespie SSA method as described above, while generating random abundances of CC protein and/or IAP protein.

Comparing with other types of molecular markers, SSR marker has many advantages including high abundance, random distribution in the entire genome, high information content, codominant inheritance, and reproducibility.

Simple sequence repeat (SSR) markers have the advantage of high abundance, random distribution within the genome, high polymorphism information content and co-dominant inheritance.

SSRs have been widely used for high-throughput genotyping and map construction as they have the advantage of high abundance, random distribution within the genome, high polymorphism information content and stable co-dominance [ 18- 20].

We define the relative deviation as (6) Then, we plot the ranked α values, compared to the ones for random pairing of estimated abundance and real abundance in Additional file 7, Figure S5.

These filters can give rise to non-random patterns of abundance and diet, for example, and these parameters should therefore also be examined - separately, and in relation to morphology (e.g. [29]) - to better determine the influence of competition and prey defences on the structure of insectivorous bat ensembles in southern Africa.

Results: We present the beta-binomial Gaussian process model for ranking features with significant non-random variation in abundance over time.

Taking Y k (t) as a Poisson random variable representing the abundance of species k at time t, the model fit to the mean abundance E[ Y k (t)] = λ k (t) is then given as: (1) log λ k t = β 0 k + s 1 k Year + s 2 k Tide.

We used three-way ANOVAs to assess the effects of mature forest loss, fragmentation and replicates (random effect) on species abundance.

The repartition of sRNAs is definitely not random but shows particular abundance among specific categories.

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