Mathematical Description of Rooting Profiles of Agricultural Crops and its Effect on Transpiration Prediction by a Hydrological Model
The geometry of rooting systems is important for modeling water flows in the soil-plant-atmosphere continuum. Measured information about root density can be summarized in adjustable equations applied in hydrological models. We present such descriptive functions used to model root density distributio...
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doaj-0649bb3bfa88406bba22bb6f482d60df2020-11-25T00:06:23ZengMDPI AGSoil Systems2571-87892019-07-01334410.3390/soilsystems3030044soilsystems3030044Mathematical Description of Rooting Profiles of Agricultural Crops and its Effect on Transpiration Prediction by a Hydrological ModelKlaas Metselaar0Everton Alves Rodrigues Pinheiro1Quirijn de Jong van Lier2Department of Environmental Sciences, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The NetherlandsCenter for Nuclear Energy in Agriculture, Universidade de São Paulo, P.O. Box 96, Piracicaba-SP 13416-000, BrazilCenter for Nuclear Energy in Agriculture, Universidade de São Paulo, P.O. Box 96, Piracicaba-SP 13416-000, BrazilThe geometry of rooting systems is important for modeling water flows in the soil-plant-atmosphere continuum. Measured information about root density can be summarized in adjustable equations applied in hydrological models. We present such descriptive functions used to model root density distribution over depth and evaluate their quality of fit to measured crop root density profiles retrieved from the literature. An equation is presented to calculate the mean root half-distance as a function of depth from root length density profiles as used in single root models for water uptake. To assess the importance of the shape of the root length density profile in hydrological modeling, the sensitivity of actual transpiration predictions of a hydrological model to the shape of root length density profiles is analyzed using 38 years of meteorological data from Southeast Brazil. The cumulative root density distributions covering the most important agricultural crops (in terms of area) were found to be well described by the logistic function or the Gompertz function. Root length density distribution has a consistent effect on relative transpiration, hence on relative yield, but the common approach to predict transpiration reduction and irrigation requirement from soil water storage or average water content is shown to be only partially supported by simulation results.https://www.mdpi.com/2571-8789/3/3/44root densityroot water uptaketranspiration |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Klaas Metselaar Everton Alves Rodrigues Pinheiro Quirijn de Jong van Lier |
spellingShingle |
Klaas Metselaar Everton Alves Rodrigues Pinheiro Quirijn de Jong van Lier Mathematical Description of Rooting Profiles of Agricultural Crops and its Effect on Transpiration Prediction by a Hydrological Model Soil Systems root density root water uptake transpiration |
author_facet |
Klaas Metselaar Everton Alves Rodrigues Pinheiro Quirijn de Jong van Lier |
author_sort |
Klaas Metselaar |
title |
Mathematical Description of Rooting Profiles of Agricultural Crops and its Effect on Transpiration Prediction by a Hydrological Model |
title_short |
Mathematical Description of Rooting Profiles of Agricultural Crops and its Effect on Transpiration Prediction by a Hydrological Model |
title_full |
Mathematical Description of Rooting Profiles of Agricultural Crops and its Effect on Transpiration Prediction by a Hydrological Model |
title_fullStr |
Mathematical Description of Rooting Profiles of Agricultural Crops and its Effect on Transpiration Prediction by a Hydrological Model |
title_full_unstemmed |
Mathematical Description of Rooting Profiles of Agricultural Crops and its Effect on Transpiration Prediction by a Hydrological Model |
title_sort |
mathematical description of rooting profiles of agricultural crops and its effect on transpiration prediction by a hydrological model |
publisher |
MDPI AG |
series |
Soil Systems |
issn |
2571-8789 |
publishDate |
2019-07-01 |
description |
The geometry of rooting systems is important for modeling water flows in the soil-plant-atmosphere continuum. Measured information about root density can be summarized in adjustable equations applied in hydrological models. We present such descriptive functions used to model root density distribution over depth and evaluate their quality of fit to measured crop root density profiles retrieved from the literature. An equation is presented to calculate the mean root half-distance as a function of depth from root length density profiles as used in single root models for water uptake. To assess the importance of the shape of the root length density profile in hydrological modeling, the sensitivity of actual transpiration predictions of a hydrological model to the shape of root length density profiles is analyzed using 38 years of meteorological data from Southeast Brazil. The cumulative root density distributions covering the most important agricultural crops (in terms of area) were found to be well described by the logistic function or the Gompertz function. Root length density distribution has a consistent effect on relative transpiration, hence on relative yield, but the common approach to predict transpiration reduction and irrigation requirement from soil water storage or average water content is shown to be only partially supported by simulation results. |
topic |
root density root water uptake transpiration |
url |
https://www.mdpi.com/2571-8789/3/3/44 |
work_keys_str_mv |
AT klaasmetselaar mathematicaldescriptionofrootingprofilesofagriculturalcropsanditseffectontranspirationpredictionbyahydrologicalmodel AT evertonalvesrodriguespinheiro mathematicaldescriptionofrootingprofilesofagriculturalcropsanditseffectontranspirationpredictionbyahydrologicalmodel AT quirijndejongvanlier mathematicaldescriptionofrootingprofilesofagriculturalcropsanditseffectontranspirationpredictionbyahydrologicalmodel |
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