Sentence examples for population models were from inspiring English sources

Two population models were tested: the de facto standard of even-distribution within census tracts and a dasymetric-based approach.

The basic ideas underlying population models were established at a time when the numerical capability to solve them was much less than it is today.

Two annual size-classified matrix population models were constructed for standard analysis, applied a life table response experiment (LTRE) analysis to explore the contributions of demographic processes, plant size, and temporal variability (years) to λ, and changes in the matrix elements were simulated including a seed bank, and seed-to-seedling transition using observed and experimental data.

Gilpin-Ayala type population models were firstly proposed by Gilpin and Ayala in [18].

Several closed population models were used to generate abundance estimates [19].

Multiple closed population models were evaluated, with Chao Mh ranking best in model performance and yielding a population estimate of 668 sharks with 95% confidence intervals ranging from 289 1720.

Population models are traditionally formulated as population balance equations.

Landscape-based population models are potentially valuable tools in facilitating conservation planning and actions at large scales.

Population models are widely applied in biomedical data analysis since they characterize both the average and individual responses of a population of subjects.

To understand and predict resulting changes in community structures, individual-based and spatially explicit population models are a useful tool but require detailed data sets for each species.

However, population models are always affected by environmental noises.