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At a given altitude, to each value of the stock density is corresponding a stable equilibrium characterised by a given relative cover of each vegetation component.
This multi-period model tracks the age of each vegetation type and determines the optimal time and locations to conduct fuel treatments.
Options for terrestrial protected area networks were designed using six approaches, where the primary objective of each approach was to either achieve terrestrial conservation goals (e.g., represent 40% of each vegetation type) or maximize benefits to coral reefs by minimizing potential for land-based runoff.
Each type of vegetation was selected according to size (large, medium, small), and four replicates of each size were collected; thus, 12 representative strains of each vegetation type and 36 total representative strains were selected.
We derived about 50 to 60 clones of 16S rRNA genes from each of the three replicate samples collected for the forest soils, and the sequences from replicates of each vegetation type were then combined for further analyses.
After carefully removing the litter layer, one surface (0 10 cm) soil sample was collected from the center of each vegetation zone including forest, transition, and grassland by using a soil auger (8 cm diameter and 10 cm deep).
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Factorial ANOVA showed that both deer and wild boar had variable preferences towards vegetation classes in each site (p = 0.0139) and that the concentration of animals on each vegetation class was independent of the average size of the given class (p = 0.412) or its fragmentation (p = 0.308).
For each species, we calculated the overall number of sightings/km of transect in each vegetation type grassland, thicket, early woodland, late woodland, and old-growth forest.
Coverage per year was calculated as the proportion of km's of transect in each vegetation type per year.
We used dates of estimated fire events to calculate fire return intervals (years between fire events; FRIs), and we fit a two-parameter Weibull model to the distribution of FRIs within each vegetation zone using maximum likelihood techniques [38].
Most current approaches assume that the amount of pollen produced by each vegetation type, usually expressed as a relative pollen productivity term, is constant in space and time.
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