Sentence examples for stock estimation from inspiring English sources

Wetland carbon stock estimation and limitation.

Systematic misclassification of forest age classes and harvest history has serious implications for studies focused on wildlife habitat modeling, forest inventory, and biomass or carbon stock estimation.

Methodologies used by researchers for biomass/carbon stock estimation are destructive, nondestructive, tree inventories data, species-specific biomass estimation, and remote sensing.

Quantifying tree biomass in these landscapes is limited by the availability of reliable allometric models, hindering accurate carbon stock estimation and thus quantification of GHG emission associated with land use transitions.

We show how rotation length, rubber clone, and management strategies like tapping frequency or planting density affect C stocks, discuss the uncertainties in C stock estimation and highlight improved approaches.

Airborne laser scanning (ALS) has been proposed as a reliable remote sensing technique for supporting biomass and carbon stock estimation under the United Nations Collaborative Program on Reducing Emissions from Deforestation and Forest Degradation in developing countries (UN-REDD).

This finding indicates the importance of the incorporation of deep colluvial soil horizons in SOC stock estimations.

Although, a number of studies have been carried out on biomass/carbon stock estimations in India, they are sporadic and patchy in relation to particular forest ecosystem and methodology.

In this study, these differences between the land allocation zones are now also shown for AGB, which may support carbon stock estimations.

To address this, we provide a quantitative assessment of remote sensing approaches for: (1) land cover discrimination to monitor deforestation; and (2) above-ground forest carbon stocks estimation.

This compares favorably to 10.02 ± 1.9 Mg C ha−1 obtained by standing biomass considering C stocks estimations of trunk plus cordons, roots and canes (Table 1).