Entregable 14: Sistema MRV y Calculadora de Carbono para el Proyecto BioREDD+

The program was launched in 2012 with a budget of $27.9 million and is designed to strengthen Colombia's capacity to mitigate and adapt to climate change, protect biodiversity, and support the development of remote and impoverished communities. The development of REDD+ projects is a key component of the program, which seeks to promote sustainable livelihoods and forest conservation. BIOREDD+ is currently developing a portfolio of eight REDD+ projects in the Pacific coast of Colombia, which will be validated under the Climate, Community, and Biodiversity Alliance (CCBA) and the Verified Carbon Standard (VCS). These projects are located in four geographic nodes, covering over 700,000 hectares of land. The program will use the VM0006 methodology of the Verified Carbon Standard to quantify carbon inventories and net emissions reductions, as well as an integrated analysis of satellite images conducted by GeoEcoMap. The methodology will involve monitoring all components required by the VM0006 standard, including deforestation drivers, project activities, and related emission sources within and outside the project area. The project will also use LiDAR technology to capture new data on forested areas, and will track changes in land use and land cover (LULC) systematically, monitoring transitions between forest and non-forest, non-forest and forest, forest degradation, and forest recovery. The methodology will also integrate remote sensing data specific to the region, such as Landsat, ALOS-PALSAR, and LiDAR, with monitoring tools and repeated LiDAR flights to update baseline emission factors and calculate annual carbon change with the required statistical error (10% with a 95% confidence interval) over project, reference, and leakage areas. The project will produce a monitoring report that contains all the information mentioned above and outlines the calculations for real NER generated. The MRV system of BioREDD will focus on measuring the updates of emission factors for degraded and primary forests, capturing new LiDAR data on these areas. The monitoring plan will track changes in LULC systematically, monitoring transitions between forest and non-forest, non-forest and forest, forest degradation, and forest recovery. The project will use a range of tools and techniques to monitor and measure the carbon benefits of the REDD+ projects, including LiDAR, remote sensing, and field measurements. The data collected will be used to update the emission factors for the project area, reference area, and leakage area, and to calculate the annual carbon change with the required statistical error. The project will also involve the development of a system for monitoring, reporting, and verification (MRV) of the carbon benefits of the REDD+ projects. This system will include a range of tools and techniques for monitoring and measuring the carbon benefits, as well as a framework for reporting and verifying the results. The MRV system will be designed to meet the requirements of the Verified Carbon Standard (VCS) and the Climate, Community, and Biodiversity Alliance (CCBA), and will include a range of components, including: * Monitoring of deforestation drivers, project activities, and related emission sources within and outside the project area * Monitoring of land use and land cover (LULC) changes in the project area, reference area, and leakage area * Collection and analysis of remote sensing data, including LiDAR, Landsat, and ALOS-PALSAR * Field measurements and surveys to validate the remote sensing data * Calculation of emission factors and carbon change for the project area, reference area, and leakage area * Reporting and verification of the results using the VCS and CCBA standards. The MRV system will be implemented in a phased manner, with the first phase focusing on the development of the system and the collection of baseline data. The second phase will involve the implementation of the system and the collection of monitoring data, while the third phase will focus on the analysis and reporting of the results.