Sentence examples for modelling of forest from inspiring English sources

In this paper, we develop a Markov chain approach for the modelling of forest stand dynamics.

Clearly, the VCSN offers advantages over the nearest NIWA station estimates of variables that we require for eco-physiological modelling of forest growth for all variables examined in this study.

The WEHAM model ("Projection modelling of forest development and timber harvesting potential") estimates the potential roundwood availability and related potential forest development, especially the growing stock over the next 40 years [13, 14].

Published studies, in and beyond the tropics, show that there is some experience in monitoring degradation, with repeat LiDAR surveys used for spatially explicit modelling of forest carbon stocks and change.

Eco-physiological modelling of forest production relies heavily on local meteorological data in order to calculate constraints of photosynthesis, and we need to clearly identify the precision and bias associated with sources of such data.

To anticipate possible impacts of climate change on the structure and functions of these unique ecosystems, and to evaluate their socio-ecological sustainability, long-term monitoring and modelling of forest structure and dynamics are indispensable.

From a spatial monitoring and modelling perspective, models of forest growth are mature and capture well biomass increment, but do not account for forest depletions, which can result in large changes in biomass and impact the ability of forests to exchange gasses with the atmosphere.

Long-term forest observational studies provide the empirical basis for forest policies and for developing models of forest dynamics.

Overly simple conceptual models of forest dynamics easily become transformed into biased mental models of how forests naturally develop and what kind of structures they display.

However, the known models of forest growth are not "one-point" models.

While there are a number of existing physical models of forest interception, few studies have summarized or compared these models.