Zoubair Rafi , Valérie Le Dantec , Saïd Khabba , Abdelhakim Amazirh , Patrick Mordelet , El Houssaine Bouras , Salah Er-Raki , Abdelghani Chehbouni , Olivier Merlin
{"title":"Proxy detection of wheat water stress from photochemical reflectance index and land surface temperature data","authors":"Zoubair Rafi , Valérie Le Dantec , Saïd Khabba , Abdelhakim Amazirh , Patrick Mordelet , El Houssaine Bouras , Salah Er-Raki , Abdelghani Chehbouni , Olivier Merlin","doi":"10.1016/j.agrformet.2024.110230","DOIUrl":null,"url":null,"abstract":"<div><p>In semi-arid and arid regions, crops face elevated atmospheric demands and endure prolonged periods of moderate to severe water scarcity. In this context, this study investigated the effectiveness of the photochemical reflectance index (PRI) and a normalized surface temperature index (T<sub>norm</sub>) for proxy detection of the water stress of winter wheat crops. Furthermore, the potential of PRI for characterizing water, atmospheric or photo-inhibition stress, and wheat transpiration was assessed over experimental drip-irrigated crop fields in the Haouz plain, central Morocco. In practice, PRI observations were compared to agro-environmental variables such as Leaf Area Index (LAI), Available Water Content (AWC) at a root zone depth, net Radiation (R<sub>n</sub>), Vapor Pressure Deficit (VPD) and the wheat transpiration derived from sap flows, lysimeters and a crop water balance model. Due to the strong relationship between PRI and LAI (R<sup>2</sup> = 0.91), another index named PRI<sub>j</sub> was derived to correct for this effect. The PRI<sub>j</sub> was found to be independent of structural effects related to LAI and significantly correlated with AWC (R<sup>2</sup> = 0.85). Using the PRI<sub>j</sub> index, we can reflect the level of water stress experienced by the wheat field throughout the experiment with an R<sup>2</sup> of 0.69 for a FAO-56 water stress coefficient (K<sub>s</sub>) of less than 1. Under dry conditions, for an AWC below 30%, the correlation between AWC and T<sub>norm</sub> gives an R<sup>2</sup> of 0.29. However, comparison of PRI<sub>j</sub> with the T<sub>norm</sub> index showed that PRI<sub>j</sub> is an early water stress index and provides information on the state of the vegetation cover at all stages of wheat development. The study's findings can have a significant impact on the use of the PRI as a water stress indicator, helping in the optimal irrigation of crops.</p></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"358 ","pages":"Article 110230"},"PeriodicalIF":5.6000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural and Forest Meteorology","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168192324003435","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
Abstract
In semi-arid and arid regions, crops face elevated atmospheric demands and endure prolonged periods of moderate to severe water scarcity. In this context, this study investigated the effectiveness of the photochemical reflectance index (PRI) and a normalized surface temperature index (Tnorm) for proxy detection of the water stress of winter wheat crops. Furthermore, the potential of PRI for characterizing water, atmospheric or photo-inhibition stress, and wheat transpiration was assessed over experimental drip-irrigated crop fields in the Haouz plain, central Morocco. In practice, PRI observations were compared to agro-environmental variables such as Leaf Area Index (LAI), Available Water Content (AWC) at a root zone depth, net Radiation (Rn), Vapor Pressure Deficit (VPD) and the wheat transpiration derived from sap flows, lysimeters and a crop water balance model. Due to the strong relationship between PRI and LAI (R2 = 0.91), another index named PRIj was derived to correct for this effect. The PRIj was found to be independent of structural effects related to LAI and significantly correlated with AWC (R2 = 0.85). Using the PRIj index, we can reflect the level of water stress experienced by the wheat field throughout the experiment with an R2 of 0.69 for a FAO-56 water stress coefficient (Ks) of less than 1. Under dry conditions, for an AWC below 30%, the correlation between AWC and Tnorm gives an R2 of 0.29. However, comparison of PRIj with the Tnorm index showed that PRIj is an early water stress index and provides information on the state of the vegetation cover at all stages of wheat development. The study's findings can have a significant impact on the use of the PRI as a water stress indicator, helping in the optimal irrigation of crops.
期刊介绍:
Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published.
Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.