Prediction model for sap flow in cacao trees under different radiation intensities in the western Colombian Amazon
Abstract 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 l...
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doaj-020683409b604010898a71ef0730b6502021-05-23T11:32:43ZengNature Publishing GroupScientific Reports2045-23222021-05-0111111310.1038/s41598-021-89876-zPrediction model for sap flow in cacao trees under different radiation intensities in the western Colombian AmazonJuan Carlos Suárez0Fernando Casanoves1Marie Ange Ngo Bieng2Luz Marina Melgarejo3Julio A. Di Rienzo4Cristina Armas5Facultad de Ingeniería, Programa de Ingeniería Agroecológica, Universidad de la AmazoniaCATIE - Centro Agronómico Tropical de Investigación y EnseñanzaCATIE - Centro Agronómico Tropical de Investigación y EnseñanzaDepartamento de Biología, Laboratorio de Fisiología y Bioquímica Vegetal, Universidad Nacional de Colombia - Sede BogotáFacultad de Ciencias Agropecuarias, Universidad Nacional de CórdobaEstación Experimental de Zonas Áridas, Spanish National Research Council (CSIC)Abstract 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.https://doi.org/10.1038/s41598-021-89876-z |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Juan Carlos Suárez Fernando Casanoves Marie Ange Ngo Bieng Luz Marina Melgarejo Julio A. Di Rienzo Cristina Armas |
spellingShingle |
Juan Carlos Suárez Fernando Casanoves Marie Ange Ngo Bieng Luz Marina Melgarejo Julio A. Di Rienzo Cristina Armas Prediction model for sap flow in cacao trees under different radiation intensities in the western Colombian Amazon Scientific Reports |
author_facet |
Juan Carlos Suárez Fernando Casanoves Marie Ange Ngo Bieng Luz Marina Melgarejo Julio A. Di Rienzo Cristina Armas |
author_sort |
Juan Carlos Suárez |
title |
Prediction model for sap flow in cacao trees under different radiation intensities in the western Colombian Amazon |
title_short |
Prediction model for sap flow in cacao trees under different radiation intensities in the western Colombian Amazon |
title_full |
Prediction model for sap flow in cacao trees under different radiation intensities in the western Colombian Amazon |
title_fullStr |
Prediction model for sap flow in cacao trees under different radiation intensities in the western Colombian Amazon |
title_full_unstemmed |
Prediction model for sap flow in cacao trees under different radiation intensities in the western Colombian Amazon |
title_sort |
prediction model for sap flow in cacao trees under different radiation intensities in the western colombian amazon |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2021-05-01 |
description |
Abstract 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. |
url |
https://doi.org/10.1038/s41598-021-89876-z |
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