Sentence examples for carbon sequestration estimates from inspiring English sources
Finally, the information gained by this study provides baseline information for comparison of future carbon sequestration estimates.
The research undertaken for this study was a continuation of this earlier work focusing on a 1990 national scale UTC assessment and carbon sequestration estimates for 1990.
The main objectives of this study were to gain insight into the seasonal variations in leaf area index (LAI) and root biomass growth, and to improve the accuracy of carbon sequestration estimates in early successional tropical secondary forests following shifting cultivation.
The basis for differences between conventional biomass-based carbon sequestration estimates and the biometeorologic estimates are discussed.
The loss of live carbon after thinning in naturally-regenerating stands must be considered in calculating carbon sequestration estimates for young-growth forests.
Carbon sequestration estimates required a cube-root transformation to ensure a normal distribution within the general linear models (confirmed using the Shapiro-Wilk test; p-value > 0.05).
However, our plot-based studies indicate that shrub C loss during woodland expansion accounts for approximately 2 Mg ha-1 of carbon loss thus lowering the carbon sequestration estimate by approximately 13%.
For carbon sequestration, again, estimates were only made for wooded land cover categories for those areas inside the range of our dataset estimates derived from the correlation equations were used.
Carbon sequestration was estimated through the carbon content of pond and wetland sediments across a gradient of system age.
While a number of countries have developed estimates of their national vegetative carbon sequestration capacity, no estimate exists for the National Park Service (NPS) administered areas, 85% of which are vegetated.
Both Nowak et al. [11] and Pasher et al. [91] were able to update national urban forest carbon storage and sequestration estimates, especially concerning higher resolution remote sensing data for a precise urban tree canopy.
