Sentence examples for temperature forest from inspiring English sources

In this work, an empirical mathematical model representing the relationship between global temperature, forest cover and seasonal rainfalls is constructed and validated using global temperature data for the years 1973 2010, Northern Thailand's forest area data for 1973 2008, and seasonal rainfall data for 1973 2011.

The study site (Fig. 1), located in a 100 ha forested area (50°54′ N, 121°54′ E) of the Genhe Forestry Reserve, DaXing'AnLing Mountain in Inner Mongolia, China, belongs to a boreal moist and cold temperature forest, with an elevation ranging from 784 to 1142 m.

From the low-earth orbit perspective of the International Space Station, GEDI will detect pulses of light that are reflected off the Earth's tropical and temperature forests producing very detailed, three-dimensional analyses.

It is now known that wildfires induce microclimatic changes in burned forests and neighboring areas, increasing temperature, reducing forest moisture and consequently enhancing the susceptibility to recurrent fires [6] [8].

Further, sensitivity analysis was conducted to assess an individual or combined effect of increased CO2 concentration and air temperature on forest dynamics and production of a forest over a hundred years.

Paul et al. (2004) performed experimentation analysis of soil temperature of forest area in Australia.

In this study, temperature, rainfall, forest cover and vegetation data were used to establish their relationship.

Regression analysis between temperature and forest cover shows a low regression coefficient value of 0.1206 (Fig. 7a).

Under temperature treatments, forest soil type effect on initial respiration R 1 was not significant (P = 0.37).

In pre-monsoon season, temperature and forest cover analysis shows regression coefficient value of 0.6876 and, temperature and vegetation analysis shows regression coefficient value of 0.5751.

In the post-monsoon season, the regression analysis of temperature over forest cover and vegetation shows regression coefficient value of 0.1206 and 0.6854, respectively.