Sentence examples for occurrence projections from inspiring English sources

There are several important sources of uncertainty intrinsic to using species occurrence projections for reserve system design including uncertainty in the number of occurrences captured by any reserve selection solution, and uncertainty arising from the different approaches used to fit predictive models.

To incorporate the effects of climate change, SEP values were updated at 10-year time steps in LANDIS-II by directly using the probability of occurrence projections derived from the NPMR models (described above) for the years 2030, 2060, and 2090 and by linearly interpolating values for the intervening time steps (e.g., 2040).

With respect to low temperatures (< 0 °C), the current study documented a fourfold higher abundance of frost occurrences in the projections compared to the baseline for the period from sowing until stem elongation in maize.

We also projected the land use change and fire occurrence and incorporated their projections into the carbon accounting.

Projections of fire occurrence were carried out using a pair of modeling ensembles, with one scenario holding biomass structure constant at current levels (FIRENPP), and one scenario where vegetation essentially tracks climate changes (FIREnoNPP).

The Central African ENM predicted 6 of 8 West African points successfully, and the West African ENM predicted 45 of 146 Central African occurrences; both results were significantly higher levels of agreement between niche projections and independent test occurrence data than would be expected by chance (binomial tests, both P<0.001).

This observation leads to the notion of forgetful projection which replaces each occurrence of \(t : F\) by \ \Box F\) and hence converts a Justification Logic sentence \(S\) to a corresponding Modal Logic sentence \(S^{o}\).

The scalar value of reaction occurrence is essentially a one-dimensional projection of a high dimensional pattern of the distribution of reactions among random viable networks.

That is, if the models hold significant predictive ability on other continents with distinct biotic communities, then independent occurrence information should be more coincident with projections than expected by chance.

However, in the student corpus the occurrences of decir with projection are more than double than those with no projection (41 vs. 19), but in the expert corpus the difference is of only 6 units (23 vs. 17).

Better information on the probability of heat waves occurrences will also increase the accuracy of projections concerning the health impacts of climate change (Gawith et al. 2009).