Getting the Data Flowing: Lessons Learned from Existing Reporting Systems in the Forestry Sector in Indonesia for REDD+ MRV.
In the context of REDD+, Measurement, Reporting and Verification (MRV) is one way to manage forest change information. A national carbon and non-carbon database will be used in REDD+ to negotiate compensation schemes with the international community. Much of this data will be collected at the local level, thus a reporting system that can integrate these locally collected data into the national database is crucial. In this paper we compare and draw lessons from three existing local to national reporting systems that include the participation of local communities: 1) the government extension services, 2) the government owned forestry company, and 3) a private logging company in Indonesia, and provide recommendations for REDD+ reporting systems. The results suggest that the main desired conditions for effective data flow are: benefits to motivate local participation, based on contributions to reporting activities; simple data format and reporting procedures to allow local participation in the reporting process, and to support data aggregation at the national level; a facilitator to mediate data aggregation at the village level to ensure data consistency, completeness and accuracy; and a transparent and clear data flow. Under these conditions, continuous, accountable and consistent data flow from the local level will reach the national level where it can be fully utilized.
Center for International Forestry Research, Bogor, Indonesia.
Andhika Vega
http://orcid.org/0000-0002-7976-9204
AV
Praputra
Center for International Forestry Research, Bogor, Indonesia.
Indah Waty
IW
Bong
Center for International Forestry Research, Bogor, Indonesia.
Dian
D
Ekowati
Center for International Forestry Research, Bogor, Indonesia.
Carola
C
Hofstee
Faculty of Forestry, Gadjah Mada University, Yogyakarta, Indonesia.
Ahmad
A
Maryudi
D002244:Carbon / Q000378:metabolism*; D003247:Conservation of Natural Resources / Q000379:methods* / Q000706:statistics & numerical data; D016468:Forestry / Q000379:methods* / Q000706:statistics & numerical data; D065928:Forests; D006078:Government Programs; D006801:Humans; D011795:Surveys and Questionnaires; D014197:Trees / Q000254:growth & development*
D002244:Carbon