Browsing by Autor "Katherine Rojas"

Now showing 1 - 3 of 3

Can warmer be better? Changing production systems in three Andean ecosystems in the face of environmental change
(Elsevier BV, 2017) Cristal Taboada; Ligia García; Jere L. Gilles; Omar Pozo; Edwin Yucra; Katherine Rojas
Uso y validez de indicadores climáticos locales como herramientas de pronósticos adaptados a la realidad andina
(2014) Magali García Cárdenas; Edwin E. Yucra Sea; Cosme Huanca; Cristal Taboada Belmonte; Clara Butrón; Jere L. Gilles; Katherine Rojas
La particular condición ecológica de la zona andina con alto riesgo agroclimático, por su altitud, riesgo de heladas y sequías y extrema localidad, sólo ha podido ser manejada en forma relativamente sostenible a través del conocimiento logrado a través de generaciones y de una intensa relación de observación e interacción del productor con su medio productivo, que han sido base para que la agricultura se desarrolle desde hace siglos en forma relativamente exitosa. Al presente factores externos de cambio tanto ecológico como social afectan la sostenibilidad, requiriéndose un adecuado sistema de pronósticos y predicción climática, adaptados localmente y orientados a reducir los riesgos de eventos extremos climáticos. Una de las bases para ello, sería que se aumente la credibilidad que los sistemas convencionales de observación climática tienen hacia los sistemas de observación local y tradicional de los productores y para ello se han dado pasos para validar las observaciones de indicadores climáticos usados por los productores con la validación preliminar de dos de ellos.
Validating local meteorological forecast knowledge in the Bolivian Altiplano: moving toward the co-production of agricultural forecasts
(Taylor & Francis, 2022) Jere L. Gilles; Ligia García; Edwin Yucra; Rogelio Quispe; Aymara Poma; Janneth M. Quispe; Katherine Rojas; Pablo Cabrera-Barona
This study validates local forecast indicators used by indigenous Aymara in Bolivia’s Northern and Central Altiplano. In Bolivia, the use of traditional forecasting methods is declining even though climate services cannot provide useful forecasts because of a low density of stations and lack outreach services. Validating local knowledge can reduce the erosion of local knowledge by resolving debates over their utility within communities and by gaining support of public agencies charged with promoting indigenous knowledge. The research had three phases, first key informants identified forecast indicators, then 95 farmers were asked to evaluate their reliability. In the North, four indicators were rated as highly reliable and in the Central region, three. Finally, a seasonal forecast indicator and two indicators of the onset of rains were evaluating using historical meteorological data. The seasonal indicator was the minimum temperature on the Fiesta de San Juan, and the rainy season onset was the flowering pattern of two plant species. The minimum temperature explained 55.5% of the variance in growing season precipitation. Flowering patterns are affected by severe frosts, and there was a correlation between frosts and later rains. Results show local knowledge’s potential for improving agrometeorological forecasts and for managing weather-related risks.