Bibliographic citations
Nieto, P., (2020). Valoración económica de la reserva de carbono en biomasa aérea mediante la aplicación de Fotogrametría y Teledetección – San Martín, 2018 [Universidad Nacional de San Martín. Fondo Editorial]. http://hdl.handle.net/11458/4536
Nieto, P., Valoración económica de la reserva de carbono en biomasa aérea mediante la aplicación de Fotogrametría y Teledetección – San Martín, 2018 []. PE: Universidad Nacional de San Martín. Fondo Editorial; 2020. http://hdl.handle.net/11458/4536
@mastersthesis{renati/1054204,
title = "Valoración económica de la reserva de carbono en biomasa aérea mediante la aplicación de Fotogrametría y Teledetección – San Martín, 2018",
author = "Nieto Salas, Paulo Dominique",
publisher = "Universidad Nacional de San Martín. Fondo Editorial",
year = "2020"
}
The main objective of this thesis report is to economically assess the ecosystem service of carbon storage and sequestration according to land use and coverage using photogrammetry, remote sensing and GIS in the Fundo Estancia - San Martín region. To meet the objectives of the present investigation, it was necessary to apply a methodology that could be carried out with the available inputs. Once the methodology was defined, a summary of the necessary requirements for the InVEST computer program (Carbon Sequestration and Storage Model - CSS) was processed. This model requires cartographic information of the study area, generated with photogrammetry, as well as the elaboration of a matrix of carbon sinks, which requires carbon values for the 4 natural sinks. In addition to this, the model required economic variables to assess the ecosystem service. Once the variables required by the run of the selected model were collected, the ES model was processed for the Base Scenario (2020) and a Projected Scenario to 2030, according to the reforestation policies affected by the administration of the Fundo. This scenario was simulated with the objective of comparing it with the current one, to determine the costs and benefits generated by changes in land use. Once the biophysical modeling process was finished, the results were generated based on the difference in the amount of carbon between the sites. These values were entered into the equation that InVEST uses, resulting in the Net Present Value (NPV). Thus, this value represents the possible gains that can be negotiated in the carbon markets. Similarly, the market price method to determine the economic value of carbon stored in both cases. Finally, the results obtained conclude that forest conservation and reforestation of degraded areas that generate significant economic returns from the sale of carbon credits.
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