T. Bringhenti , M. Moriondo , I. Abdulai , E. Joubert , R.P. Roetter , P.J. Taylor , M.P. Hoffmann
{"title":"亚热带周期性缺水地区澳洲坚果树蒸腾简单模型的建立与评价","authors":"T. Bringhenti , M. Moriondo , I. Abdulai , E. Joubert , R.P. Roetter , P.J. Taylor , M.P. Hoffmann","doi":"10.1016/j.scienta.2025.113970","DOIUrl":null,"url":null,"abstract":"<div><div>Sustainable water management and enhanced irrigation efficiency in the growing macadamia sector in subtropical regions such as South Africa are essential amid severe periodic water scarcity exacerbated by climate change. This requires precise modelling of tree water demand under varying conditions. However, current methods often lack accuracy or require extensive data inputs. In this study, we adopted and evaluated a simple, mechanistic, low data-input transpiration model for macadamia trees. To this end, we conducted a comprehensive experimental study in the sub-humid Levubu region, South Africa, collecting tree sap velocity data from two macadamia cultivars, along with microclimate and soil water data over two seasons. First, the model was calibrated under non-limiting water conditions using data on tree-intercepted radiation, vapor pressure deficit (VPD), and canopy conductance to simulate potential tree transpiration (T<sub>d</sub>), representing the upper limit of macadamia water use. Secondly, we further developed the model to simulate T<sub>d</sub> for water deficit conditions by rescaling simulated potential T<sub>d</sub> based on the observed fraction of transpirable soil water (FTSW). The performance of the calibrated model was validated against observed T<sub>d</sub> from (spared) independent datasets for both cultivars.</div><div>Observed macadamia T<sub>d</sub> showed pronounced seasonal variability (ranging from 0.6 mm d<sup>−1</sup> in winter to 1.3 mm d<sup>−1</sup> in summer), largely influenced by varying VPD and FTSW. The model captured the strong response of stomatal closure to increasing VPD, reflecting the conservative water use of macadamia trees. Model performance was satisfactory for both cultivars, and under both non-limiting and water deficit conditions, with lower relative error measures in the latter. This indicates that the improved model under water deficit is well-suited for accurately estimating macadamia T<sub>d</sub> under heterogeneous environmental conditions, making it a valuable tool for optimizing irrigation practices and conserving water resources in macadamia orchards.</div></div>","PeriodicalId":21679,"journal":{"name":"Scientia Horticulturae","volume":"341 ","pages":"Article 113970"},"PeriodicalIF":3.9000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adopting and evaluating a simple model for macadamia tree transpiration in periodically water-scarce subtropical regions\",\"authors\":\"T. Bringhenti , M. Moriondo , I. Abdulai , E. Joubert , R.P. Roetter , P.J. Taylor , M.P. Hoffmann\",\"doi\":\"10.1016/j.scienta.2025.113970\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Sustainable water management and enhanced irrigation efficiency in the growing macadamia sector in subtropical regions such as South Africa are essential amid severe periodic water scarcity exacerbated by climate change. This requires precise modelling of tree water demand under varying conditions. However, current methods often lack accuracy or require extensive data inputs. In this study, we adopted and evaluated a simple, mechanistic, low data-input transpiration model for macadamia trees. To this end, we conducted a comprehensive experimental study in the sub-humid Levubu region, South Africa, collecting tree sap velocity data from two macadamia cultivars, along with microclimate and soil water data over two seasons. First, the model was calibrated under non-limiting water conditions using data on tree-intercepted radiation, vapor pressure deficit (VPD), and canopy conductance to simulate potential tree transpiration (T<sub>d</sub>), representing the upper limit of macadamia water use. Secondly, we further developed the model to simulate T<sub>d</sub> for water deficit conditions by rescaling simulated potential T<sub>d</sub> based on the observed fraction of transpirable soil water (FTSW). The performance of the calibrated model was validated against observed T<sub>d</sub> from (spared) independent datasets for both cultivars.</div><div>Observed macadamia T<sub>d</sub> showed pronounced seasonal variability (ranging from 0.6 mm d<sup>−1</sup> in winter to 1.3 mm d<sup>−1</sup> in summer), largely influenced by varying VPD and FTSW. The model captured the strong response of stomatal closure to increasing VPD, reflecting the conservative water use of macadamia trees. Model performance was satisfactory for both cultivars, and under both non-limiting and water deficit conditions, with lower relative error measures in the latter. This indicates that the improved model under water deficit is well-suited for accurately estimating macadamia T<sub>d</sub> under heterogeneous environmental conditions, making it a valuable tool for optimizing irrigation practices and conserving water resources in macadamia orchards.</div></div>\",\"PeriodicalId\":21679,\"journal\":{\"name\":\"Scientia Horticulturae\",\"volume\":\"341 \",\"pages\":\"Article 113970\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientia Horticulturae\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0304423825000214\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HORTICULTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientia Horticulturae","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304423825000214","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HORTICULTURE","Score":null,"Total":0}
Adopting and evaluating a simple model for macadamia tree transpiration in periodically water-scarce subtropical regions
Sustainable water management and enhanced irrigation efficiency in the growing macadamia sector in subtropical regions such as South Africa are essential amid severe periodic water scarcity exacerbated by climate change. This requires precise modelling of tree water demand under varying conditions. However, current methods often lack accuracy or require extensive data inputs. In this study, we adopted and evaluated a simple, mechanistic, low data-input transpiration model for macadamia trees. To this end, we conducted a comprehensive experimental study in the sub-humid Levubu region, South Africa, collecting tree sap velocity data from two macadamia cultivars, along with microclimate and soil water data over two seasons. First, the model was calibrated under non-limiting water conditions using data on tree-intercepted radiation, vapor pressure deficit (VPD), and canopy conductance to simulate potential tree transpiration (Td), representing the upper limit of macadamia water use. Secondly, we further developed the model to simulate Td for water deficit conditions by rescaling simulated potential Td based on the observed fraction of transpirable soil water (FTSW). The performance of the calibrated model was validated against observed Td from (spared) independent datasets for both cultivars.
Observed macadamia Td showed pronounced seasonal variability (ranging from 0.6 mm d−1 in winter to 1.3 mm d−1 in summer), largely influenced by varying VPD and FTSW. The model captured the strong response of stomatal closure to increasing VPD, reflecting the conservative water use of macadamia trees. Model performance was satisfactory for both cultivars, and under both non-limiting and water deficit conditions, with lower relative error measures in the latter. This indicates that the improved model under water deficit is well-suited for accurately estimating macadamia Td under heterogeneous environmental conditions, making it a valuable tool for optimizing irrigation practices and conserving water resources in macadamia orchards.
期刊介绍:
Scientia Horticulturae is an international journal publishing research related to horticultural crops. Articles in the journal deal with open or protected production of vegetables, fruits, edible fungi and ornamentals under temperate, subtropical and tropical conditions. Papers in related areas (biochemistry, micropropagation, soil science, plant breeding, plant physiology, phytopathology, etc.) are considered, if they contain information of direct significance to horticulture. Papers on the technical aspects of horticulture (engineering, crop processing, storage, transport etc.) are accepted for publication only if they relate directly to the living product. In the case of plantation crops, those yielding a product that may be used fresh (e.g. tropical vegetables, citrus, bananas, and other fruits) will be considered, while those papers describing the processing of the product (e.g. rubber, tobacco, and quinine) will not. The scope of the journal includes all horticultural crops but does not include speciality crops such as, medicinal crops or forestry crops, such as bamboo. Basic molecular studies without any direct application in horticulture will not be considered for this journal.