scholarly journals Reduced Emissions from Deforestation and Forest Degradation (REDD): Why a Robust and Transparent Monitoring, Reporting and Verification (MRV) System is Mandatory

Author(s):  
Daniel Plugge ◽  
Thomas Baldauf ◽  
Michael Kohl
2020 ◽  
Vol 12 (16) ◽  
pp. 2531
Author(s):  
Efraín Duarte ◽  
Juan A. Barrera ◽  
Francis Dube ◽  
Fabio Casco ◽  
Alexander J. Hernández ◽  
...  

Current estimates of CO2 emissions from forest degradation are generally based on insufficient information and are characterized by high uncertainty, while a global definition of ‘forest degradation’ is currently being discussed in the scientific arena. This study proposes an automated approach to monitor degradation using a Landsat time series. The methodology was developed using the Google Earth Engine (GEE) and applied in a pine forest area of the Dominican Republic. Land cover change mapping was conducted using the random forest (RF) algorithm and resulted in a cumulative overall accuracy of 92.8%. Forest degradation was mapped with a 70.7% user accuracy and a 91.3% producer accuracy. Estimates of the degraded area had a margin of error of 10.8%. A number of 344 Landsat collections, corresponding to the period from 1990 to 2018, were used in the analysis. Additionally, 51 sample plots from a forest inventory were used. The carbon stocks and emissions from forest degradation were estimated using the RF algorithm with an R2 of 0.78. GEE proved to be an appropriate tool to monitor the degradation of tropical forests, and the methodology developed herein is a robust, reliable, and replicable tool that could be used to estimate forest degradation and improve monitoring, reporting, and verification (MRV) systems under the reducing emissions from deforestation and forest degradation (REDD+) mechanism.


2013 ◽  
Vol 9 (1) ◽  
pp. 21-32 ◽  
Author(s):  
Bidya Nath Jha ◽  
Govinda Paudel

Reducing Emission from Deforestation and Forest Degradation (REDD) is an incentive based approach for climate change mitigation that has gained global attention. Following the global discourse and trend, Nepal is preparing herself to participate in the REDD implementation process with the financing from the World Bank's Forest Carbon Partnership Facility (FCPF). Developing a measurement, reporting and verification (MRV) system of monitoring carbon emissions is one of the most important aspects of the REDD mechanism. In this article, we analyse the existing forest resource monitoring system in Nepal with reference to requirements for the REDD MRV design as suggested in the Intergovernmental Panel on Climate Change (IPCC) good practice guide. Our analytical focus revolves around understanding the current policy provisions and institutional infrastructure, as well as identifying existing gaps Similarly, we also analyse the national capacity gaps for designing and adopting the REDD MRV. Finally we have outlined possible issues and challenges for designing and implementing REDD MRV in Nepal. Based on all these aspects, we have suggested a MRV system design that would acknowledge the role of existing institutions and consider the state restructuring.DOI: http://dx.doi.org/10.3126/jfl.v9i1.8591 Journal of Forestry and Livelihood Vol.9(1) 2010 21-32


2015 ◽  
Vol 10 (12) ◽  
pp. 123001 ◽  
Author(s):  
Scott J Goetz ◽  
Matthew Hansen ◽  
Richard A Houghton ◽  
Wayne Walker ◽  
Nadine Laporte ◽  
...  

Author(s):  
P. Bholanath ◽  
K. Cort

Monitoring deforestation and forest degradation at national scale has been identified as a national priority under Guyana‟s REDD+ Programme. Based on Guyana‟s MRV (Monitoring Reporting and Verification) System Roadmap developed in 2009, Guyana sought to establish a comprehensive, national system to monitor, report and verify forest carbon emissions resulting from deforestation and forest degradation in Guyana. To date, four national annual assessments have been conducted: 2010, 2011, 2012 and 2013. <br><br> Monitoring of forest change in 2010 was completed with medium resolution imagery, mainly Landsat 5. In 2011, assessment was conducted using a combination of Landsat (5 and 7) and for the first time, 5m high resolution imagery, with RapidEye coverage for approximately half of Guyana where majority of land use changes were taking place. Forest change in 2013 was determined using high resolution imagery for the whole of Guyana. The current method is an automated-assisted process of careful systematic manual interpretation of satellite imagery to identify deforestation based on different drivers of change. The minimum mapping unit (MMU) for deforestation is 1 ha (Guyana‟s forest definition) and a country-specific definition of 0.25 ha for degradation. <br><br> The total forested area of Guyana is estimated as 18.39 million hectares (ha). In 2012 as planned, Guyana‟s forest area was reevaluated using RapidEye 5 m imagery. Deforestation in 2013 is estimated at 12 733 ha which equates to a total deforestation rate of 0.068%. Significant progress was made in 2012 and 2013, in mapping forest degradation. The area of forest degradation as measured by interpretation of 5 m RapidEye satellite imagery in 2013 was 4 352 ha. All results are subject to accuracy assessment and independent third party verification.


2012 ◽  
Vol 4 (6) ◽  
pp. 661-669 ◽  
Author(s):  
Lydia P Olander ◽  
Christopher S Galik ◽  
Gabrielle A Kissinger

Sign in / Sign up

Export Citation Format

Share Document