Sentence examples for to forecast the development of from inspiring English sources

Data for individual forest stands polygons, used to forecast the development of boreal forested peatlands, were retrieved from the Ontario ecosite classification system (Taylor et al. 2000).

The model is a useful tool to forecast the development of gyrodactylid infections on single hosts and make predictions about optimal life history strategies of parasites.

It is really difficult to forecast the development of energy or the oil market in general because the growing oil prices encourage development of alternative energy sources and stimulate energy efficient technologies also.

Then, we added the effects of climate change on the thickening on SOL to this base index in order to forecast the development of paludified forests in response to projected climate change.

This simple tool could be used by forest managers to forecast the development of paludified forests and to plan forest operations and conservation areas, and by policy makers to plan carbon management at the regional scale.

The objective of this study was to forecast the development of boreal paludified forests in northeastern North America in relation to climate change and modifications in the natural fire regime for the period 2011 2100.

Towards the end of May 2008, computer hurricane models forecast the development of a broad low pressure area to the southwest of Central America.

Furthermore, this study aims at forecasting the development of urban settlements through the application of the cellular automata model SLEUTH; the case study concerns the Municipality of Altamura (Apulia region, Italy).

After crossing over Prince Edward Island, The storm fully dissipated late on November 2. For several days, weather models forecast the development of a significant storm off New England.

By using a logarithmic linear equation to explain the relationship between CO2 emissions and their influence factors, a hybrid model to forecast the "natural" development of the explanatory variables, and emission-relative data from 2001 to 2013 to estimate the equation parameters, five scenarios are designed, and the CO2 emissions of each scenario are forecasted for the period of 2016 2030.

Forecasting the development of bioenergy using econometric models can help decision makers to optimize strategies and plan roadmaps for the bioenergy industry and its supply chain.