| Autor: |
Suárez JC; Facultad de Ingeniería, Programa de Ingeniería Agroecológica, Universidad de la Amazonia, Florencia-Caquetá, Colombia. ju.suarez@udla.edu.co.; Facultad de Ciencias Agropecuarias, Maestría Sistemas Sostenibles de Producción, Universidad de la Amazonia, Florencia-Caquetá, Colombia. ju.suarez@udla.edu.co.; Centro de Investigaciónes Amazónicas CIMAZ Macagual, Grupo de Investigaciones Agroecosistemas y Conservación en Bosques Amazónicos-GAIA, Florencia, Caqueta ́, Colombia. ju.suarez@udla.edu.co., Casanoves F; CATIE - Centro Agronómico Tropical de Investigación y Enseñanza , Turrialba, 30501, Costa Rica., Bieng MAN; CATIE - Centro Agronómico Tropical de Investigación y Enseñanza , Turrialba, 30501, Costa Rica.; CIRAD, UR Forêts et Sociétés, 34398, Montpellier Cedex 5, France., Melgarejo LM; Departamento de Biología, Laboratorio de Fisiología y Bioquímica Vegetal, Universidad Nacional de Colombia - Sede Bogotá, Bogotá, Colombia., Di Rienzo JA; Facultad de Ciencias Agropecuarias, Universidad Nacional de Córdoba, Córdoba, Argentina., Armas C; Estación Experimental de Zonas Áridas, Spanish National Research Council (CSIC), Carretera de Sacramento s/n, E-04120 La Cañada de San Urbano, Almería, Spain. |
| Abstrakt: |
In this study, we measured diurnal patterns of sap flow (V s ) in cacao trees growing in three types of agroforestry systems (AFs) that differ in the incident solar radiation they receive. We modeled the relationship of V s with several microclimatic characteristics of the AFs using mixed linear models. We characterized microclimatic variables that may have an effect on diurnal patterns of sap flow: air relative humidity, air temperature, photosynthetically active radiation and vapor pressure deficit. Overall, our model predicted the differences between cacao V s in the three different AFs, with cacao plants with dense Musaceae plantation and high mean diurnal incident radiation (H PAR ) displaying the highest differences compared to the other agroforestry arrangements. The model was also able to predict situations such as nocturnal transpiration in H PAR and inverse nocturnal sap flows indicative of hydraulic redistribution in the other AFs receiving less incident radiation. Overall, the model we present here can be a useful and cost-effective tool for predicting transpiration and water use in cacao trees, as well as for managing cacao agroforestry systems in the Amazon rainforest. |
