Home Institution
Colby College
Publication Date
Fall 2017
Abstract
As carbon dioxide levels in the atmosphere continue to rise at a rapid rate, it is necessary to understand how forests can both contribute to CO2 levels but also stop them from rising. Carbon sequestration levels in tropical montane cloud forests are a relatively understudied topic. Gathering carbon stock levels is the first step necessary to start a REDD+ project. Carbon stock levels can be studied on a global, regional or local level. This study used the University of Oxford/ Global Ecosystems Monitoring Network (GEM) methodology to examine carbon sequestration levels of aboveground biomass, specifically ground litter, large branches and trees, in three different types of forest in the Río Guajalito Reserve. Ground litter and large branches were collected in order to calculate biomass from primary forest, a secondary forest from 1983 and a secondary forest from 2001. Tree biomass was calculated using an allometric equation. It was assumed that 50% of the biomass was carbon. The secondary forest from 1983 had the highest amount of carbon stock, 49.96 t C ha-1, while the primary forest had the second highest, 34.4 t C ha-1 and the secondary forest from 2001 had the lowest amount of carbon, 29.53 t C ha-1. The secondary forest from 1983 also had the highest biomass measurement, 99.91 t ha-1, signifying that of the three types of forests studied, it was the most productive, as biomass is a measure of the forest’s efficiency to fix energy in all components of the ecosystem. A brief examination into REDD+ in Ecuador and how Río Guajalito would compare as a potential site was also completed.
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Mientras los niveles de dióxido de carbono en la atmósfera suben rápidos, es necesario entender cómo los bosques pueden contribuir a los niveles de CO2 pero también bajarlos. Los niveles de la secuestración de carbono en los bosques nublados es un tópico poco estudiado. Colectar los niveles de carbono es la primera medida necesaria para empezar un proyecto de REDD+. Puede estudiar los stocks de carbono en un nivel global, regional o paisaje. Este estudio usó la metodología de University of Oxford/ Global Ecosystems Monitoring Network (GEM) para examinar los stocks de carbono de biomasa, específicamente la necromasa, ramas grandes y arboles en tres tipos de bosque diferente en la Reserva Río Guajalito. La necromasa y ramas grandes fueron colectados para que pueda calcular la biomasa del bosque primario, un bosque secundario de 1983 y un bosque secundario de 2001. La biomasa de los arboles fue calculada usando una ecuación allometric. Se asumió que 50% de la biomasa fue el carbono. El bosque secundario de 1983 tuvo el mayor cantidad de carbono, 49.96 t C ha-1, mientras el bosque primario tuvo la cantidad segunda mas alta de carbono, 34.3 t C ha-1 y el bosque secundario de 2001 tuvo la menor cantidad, 29.53 t C ha-1. El bosque secundario de 1983 también tuvo la medida más alta de biomasa, 99.91 t ha-1, la que significa que de los tres bosques, era el más productivo de todos porque la biomasa es una medida de la eficiencia del bosque para usar la energía de todos componentes del ecosistema. Una examinación breve de REDD+ en el Ecuador y cómo Río Guajalito compararía como un sitio de REDD+ fue completado al final.
Disciplines
Biochemistry, Biophysics, and Structural Biology | Bioinformatics | Biology | Environmental Health | Forest Management | Forest Sciences | Latin American Studies | Other Forestry and Forest Sciences | Pharmacology, Toxicology and Environmental Health
Recommended Citation
Mapstone, Elli, "Carbon Sequestration in the Cloud Forest: A Comparative Evaluation of Aboveground Biomass Carbon Stock Potential in the Río Guajalito Reserve" (2017). Independent Study Project (ISP) Collection. 2726.
https://digitalcollections.sit.edu/isp_collection/2726
Included in
Biochemistry, Biophysics, and Structural Biology Commons, Bioinformatics Commons, Biology Commons, Environmental Health Commons, Forest Management Commons, Latin American Studies Commons, Other Forestry and Forest Sciences Commons
Program Name
Ecuador: Comparative Ecology and Conservation