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Thus, the same distribution fitted species abundance data originated under different levels of temporal variance of disturbance, so that neutrality was not rejected by these tests.
We verified parameter estimates were not dependent on parameterization choices – e.g. no difference was seen whether we fitted species infectivity individually, or just fitted sheep infectivity and then the ratio of cattle-to-sheep infectivity.
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AGB was estimated as the sum of the individual components stump, stem, bark, dead and living branches and foliage of individual trees predicted using previously fitted species-specific allometric models having tree species, dbh and height as input variables [48].
We also used a bootstrap procedure to estimate the total number of species as the asymptote of a fitted species-area curve.
AGB was estimated as the sum of the individual components stump, stem, bark, dead and living branches and foliage of individual trees predicted using previously fitted species-specific allometric models having tree species, dbh and height as input variables [ 48].
Alternatively, herbarium data can be used to fit species distribution models and their predictions can be used to provide complete spatial coverage and derive species richness maps.
The spatially implicit model often fits species abundance data remarkably well, and our results show that the intuitively more realistic spatially explicit model cannot do so in its current form, as it seems unable to access the parts of parameter space that the parameters of fits of the spatially implicit model to real data occupy.
Additionally, it can be difficult to fit species varying ecomorphologically in a complex multidimensional space into predefined groups defined by a limited number of characters [e.g. [ 11]].
Interestingly, the sequences were all different from those obtained for the bonobo feces and the closest matches fitted to species that occur in Loango rather than to species from Lui Kotale.
A sigmoidal growth model best fitted the species accumulation curves for the whole data set and the southern subregion, stations 0°N, 2°N, & 5°N.
Rather, the fittest species are those which coöperate: they cohabit in intricate ecosystems; they are symbiotic and mutualistic.
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