Development of a model for forest carbon estimation in Mt. Makiling Forest Reserve and Quezon City, Philippines
2017
Abalus, R.O.,Jr.
The study developed a model in estimating forest carbon storage in MMFR [Mt. Makiling Forest Reserve] and Quezon City, Philippines. Land cover classes or administrative unit subdivision of the different study sites were obtained from secondary sources. Biomass of live carbon pools and deadwood were estimated through regression models. Understorey vegetation, litter and soil carbon were generated through primary data gathering. The power regression model provided a highly flexible equation for estimating tree biomass. The model displayed applicability in all areas where it was tested and verified without limitation of application as to diameter classes. Linear regression on the other hand showed best fit of data in estimating biomass and carbon for understorey vegetation, litter and soil organic carbon as carbon pools in all areas tested. The spreadsheet-based forest carbon calculator model database was built based on these two regression models. It only requires input data such as average diameter of trees, stand density, land cover area, and percent vegetation cover. For understorey vegetation, litter, and soil organic carbon; the only information required is their dry matter content. The development tool is an alternative within the array of simple options to estimate stored forest biomass and carbon within watersheds and local government boundaries.
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Эту запись предоставил University of the Philippines at Los Baños