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Learning to learn in tropical forests

Training field teams in adaptive collaborative management, monitoring and gender

Dados Bibliográficos

ID21719982
AutoresKristen Evans (0000-0002-2759-4238, International Potato Center), Allan Larson (0000-0002-2950-8583, International Potato Center), A M Larson (0000-0001-7172-2228), Selmira Flores (0000-0002-5762-2471, Central American University)
Ano2020
Volume22
Fascículo2
Páginas189-198
Data de publicação2020-06-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoThe International Forestry Review (JOURNAL)
Identificadores do periódicoISSN: 1465-5489 • E-ISSN: 2053-7778
EditoraCommonwealth Forestry Association (PUBLISHER • GB)
DOI10.1505/146554820829403504
OpenAlexW3034844422
IdiomaEN
Citações recebidas2
Referências citadas10

From 2011–2015, the Center for International Forestry Research (CIFOR) trained field teams in Nicaragua in Adaptive Collaborative Management (ACM) methods. ACM is a social learning-based approach to help forest communities manage their natural resources in a more equitable and sustainable way and respond to change. This paper presents the lessons-learned from the training and field work. It argues that understanding and building social learning processes among the ACM team members and facilitators are crucial components of the ACM methodology and necessary in order to recognize and address the complex nature of socio-ecological relationships. In particular, promoting women's participation in forest decision-making in their own rural communities requires not only a consideration of gender relations but also of the gender perspectives of each member of the field team

Adaptive Management · Business · Environmental resource management · Field research · Forest management · Geography · Knowledge management · Natural resource · Natural resource management · Social science · Sociology · Computer Science · Engineering · Environmental Science · Forest Management and Policy · Global trade, sustainability, and social impact · Open Source Software Innovations · Ecology · Forestry

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Obras citantes distintas2
Citações por ano0,67
Intervalo de citações2023 - 2023 (1)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 2
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