Participatory monitoring to connect local and global priorities for forest restoration.
Conserv Biol
; 32(3): 525-534, 2018 06.
Article
em En
| MEDLINE
| ID: mdl-29532979
New global initiatives to restore forest landscapes present an unparalleled opportunity to reverse deforestation and forest degradation. Participatory monitoring could play a crucial role in providing accountability, generating local buy in, and catalyzing learning in monitoring systems that need scalability and adaptability to a range of local sites. We synthesized current knowledge from literature searches and interviews to provide lessons for the development of a scalable, multisite participatory monitoring system. Studies show that local people can collect accurate data on forest change, drivers of change, threats to reforestation, and biophysical and socioeconomic impacts that remote sensing cannot. They can do this at one-third the cost of professionals. Successful participatory monitoring systems collect information on a few simple indicators, respond to local priorities, provide appropriate incentives for participation, and catalyze learning and decision making based on frequent analyses and multilevel interactions with other stakeholders. Participatory monitoring could provide a framework for linking global, national, and local needs, aspirations, and capacities for forest restoration.
Palavras-chave
adaptive management; cambio en el bosque; evaluación de la restauración; forest change; large-scale restoration; local monitoring; manejo adaptativo; monitoreo local; monitoring protocols; protocolos de monitoreo; reforestación; reforestation; rendición de cuentas de la restauración; restauración a gran escala; restoration accountability; restoration assessment; restoration success; éxito de restauración; åé æ; 大尺度æ¢å¤; æ¢å¤æå; æ¢å¤è¯ä¼°; æ¢å¤è´£ä»»å¶; æ¬å°çæ§; 森æåå; çæ§åè®®; éåºæ§ç®¡ç
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Florestas
/
Conservação dos Recursos Naturais
Idioma:
En
Revista:
Conserv Biol
Ano de publicação:
2018
Tipo de documento:
Article
País de afiliação:
Peru
País de publicação:
Estados Unidos