Using leading and lagging indicators for forest restoration

Ota, Liz; Firn, Jennifer; Chazdon, Robin L.; Gregorio, Nestor; Mukul, Sharif A.; Viani, Ricardo Augusto Gorne; Romero, Claudia; Herbohn, John

doi:10.1111/1365-2664.13938

Cited by 12 publications

(26 citation statements)

References 32 publications

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“…From this exercise, the position of each community on the curve was approximated albeit with no explicit consideration of the distance between them. There was an agreement on the ranking of the 10 communities between the researchers with a Kendall's W coefficient of 0.88 ( [69], figure 3).…”

Section: Placing Communities On the Curvementioning

confidence: 90%

The community capacity curve applied to reforestation: a framework to support success

Herbohn

Ota

Gregorio

et al. 2022

Phil. Trans. R. Soc. B

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Community involvement is critical for the success of many interventions designed to promote reforestation. To secure this involvement, it helps to recognize that communities are heterogenous both within and among themselves and possess diverse mixes of livelihood assets required to implement reforestation. We explore the relationship between livelihood assets and reforestation success and outline a conceptual model that we call the community capacity curve (CCC) applied to reforestation. We argue that the shape of the CCC is sigmoidal. Importantly, communities at the lower end of the CCC have limited capacity to implement reforestation projects without substantial and ongoing capacity building and other sorts of support, including through livelihood projects that improve food security and provide cash benefits. Communities at the higher part of the CCC have greater capacity to implement reforestation projects, especially projects focused on biodiversity and environmental services. The CCC can help design, implement, monitor and assess reforestation projects, select appropriate livelihood activities and types of reforestation, select communities suited to a reforestation project, guide implementation and understand projects' successes and failure. The CCC also provides a framework to engage with policy makers and funding bodies to explore the types of support for communities to reforest successfully. This article is part of the theme issue ‘Understanding forest landscape restoration: reinforcing scientific foundations for the UN Decade on Ecosystem Restoration’.

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Section: Placing Communities On the Curvementioning

confidence: 90%

The community capacity curve applied to reforestation: a framework to support success

Herbohn

Ota

Gregorio

et al. 2022

Phil. Trans. R. Soc. B

Self Cite

View full text Add to dashboard Cite

show abstract

“…Drivers are factors that influence an outcome and can be used to identify leading indicators. Broad objectives are articulated into more context-based short-term goals (6). Conservation Standards, for example, is a framework that uses situation models to document the current state and to document anticipated chains or results and the underlying assumptions.…”

Section: Theory Of Changementioning

confidence: 99%

“…Leading indicators are used in the business and economic sectors ( 6 ), have more recently been applied in the occupational health and safety sector ( 5 , 7 ), and are being proposed in the biodiversity conservation sector ( 4 , 6 ). Using leading indicators in the near-term can help assess likelihood of achieving long-term outcomes.…”

Section: Indicatorsmentioning

confidence: 99%

“…Leading indicators are often predictors of lagging indicators. Lagging indicators reflect the scale of the effort rather than the magnitude of the impact ( 6 ).…”

Section: Indicatorsmentioning

confidence: 99%

“…Drivers are factors that influence an outcome and can be used to identify leading indicators. Broad objectives are articulated into more context-based short-term goals ( 6 ).…”

Section: Theory Of Changementioning

confidence: 99%

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