Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Seasonal Livelihood Analysis× | Seasonal Calendar× | |
|---|---|---|
| Campo≠ | Development Studies | Anthropology |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1981 | 1994 |
| Autor original≠ | Robert Chambers, Richard Longhurst & Arnold Pacey; Stephen Devereux and colleagues | Participatory Rural Appraisal tradition (Robert Chambers and colleagues) |
| Tipo≠ | Analytical method for understanding intra-annual livelihood variation | Participatory visualization of intra-annual variation across activities and conditions |
| Fuente seminal≠ | Devereux, S., Sabates-Wheeler, R., & Longhurst, R. (Eds.). (2012). Seasonality, Rural Livelihoods and Development. London: Routledge/Earthscan. ISBN: 9781849714327 | Chambers, R. (1994). The origins and practice of participatory rural appraisal. World Development, 22(7), 953–969. DOI ↗ |
| Alias | Seasonality analysis, Seasonal livelihood programming, Hunger gap analysis, Seasonal vulnerability analysis | Seasonal Calendar Diagramming, Seasonality Diagram, Seasonal Activity Matrix, Seasonal Mapping |
| Relacionados | 4 | 4 |
| Resumen≠ | Seasonal livelihood analysis examines how poor households' livelihoods — their income, food access, labour demand, prices, debt, and exposure to hazards and disease — vary systematically across the months of the year rather than remaining constant. Rooted in the agenda set by Robert Chambers, Richard Longhurst, and Arnold Pacey in their 1981 work on seasonal dimensions to rural poverty and revived by Stephen Devereux and colleagues, it uses seasonal calendars to chart these intra-annual rhythms, locate the lean or 'hunger' season, and time interventions such as social protection so they reach people when need is greatest. | A seasonal calendar is a participatory rural appraisal (PRA) tool in which community members chart how key conditions and activities vary across the months or seasons of a typical year on a shared visual matrix. Rows represent variables such as rainfall, crop labour, income, food availability, migration, illness, or expenditure, while columns represent the local division of the year. By filling the cells with stones, marks, or piles whose size shows intensity, participants produce a collective picture of seasonality that reveals when stresses pile up and when slack periods occur. |
| ScholarGateConjunto de datos ↗ |
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