Documenting evapotranspiration and surface energy fluxes over rainfed annual crops within a Mediterranean hilly agrosystem

Zitouna-Chebbi, Rim; Jacob, Frédéric; Prévot, Laurent; Voltz, Marc

doi:10.1016/j.agwat.2022.108117

Cited by 5 publications

(3 citation statements)

References 65 publications

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“…The flux of R n is mainly influenced by regional solar radiation and surface vegetation albedo, which is stronger during the daytime, with the highest R n in the study area exceeding 700 W·m −2 , which is higher than the values observed in agricultural fields in some areas in previous studies [ 44 , 45 ]. During the nighttime, when solar radiation is absent, R n tended to 0, often accompanied by sensible thermal advection [ 9 , 46 ], and LET was found to be greater than R n in the pineapple fields.…”

Section: Discussioncontrasting

confidence: 61%

Energy Partitioning and Latent Heat Flux Driving Factors of the CAM Plant Pineapple (Ananas comosus (L.) Merril) Grown in the South Subtropical China

Liu,

Zhao,

Yan

et al. 2023

Plants

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Elucidation of different vegetation energy partitioning and environmental control factors at the agro-ecosystem levels is critical for better understanding and scientific management of farmland. Pineapple (Ananas comosus (L.) Merril) is a tropical plant widely cultivated in the southern subtropical region of China; however, the energy partitioning of crassulacean acid metabolism (CAM) plants like pineapple and their interactions with the environment remain not well understood. In this study, we investigated the energy partitioning patterns of pineapple fields and latent heat flux (LET) response to environmental factors using the Bowen ratio energy balance system and meteorological observation field data. The results showed that the CAM plant pineapple energy partitioning was significantly different from the common C3 and C4 crops during the study period, which was mainly attributed to the complex interactions between CAM plant transpiration and the environment. Specifically, sensible heat flux was the main component of net radiation (Rn), followed by the LET, accounting for 65.0% and 30.8% of the Rn, respectively. Soil heat flux accounts for a very small fraction (4.2%). The mean values of the Bowen ratio were 2.09 and 1.41 for sunny and cloudy days during the daytime and 0.74 and 0.46 at night, respectively. LET is a key factor in responding to crop growth status and agricultural water management, and the path analysis indicates that its variation is mainly influenced directly by Rn with a direct path coefficient of 0.94 on sunny days, followed by vapor pressure deficit, air temperature and relative humidity, which indirectly affect LET through the Rn pathway, whereas soil moisture and wind speed have a low effect on LET. On cloudy days, the effect of Rn on LET was overwhelmingly dominant, with a direct path coefficient of 0.91. The direct path coefficients of the remaining factors on LET were very small and negative. Overall, this study is an important reference for enhancing the impact of pineapple as well as CAM plants on the surface energy balance and regional climate.

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Section: Discussioncontrasting

confidence: 61%

Energy Partitioning and Latent Heat Flux Driving Factors of the CAM Plant Pineapple (Ananas comosus (L.) Merril) Grown in the South Subtropical China

Liu,

Zhao,

Yan

et al. 2023

Plants

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“…A maior utilização do Rn para o H em ecossistemas naturais tem sido um comportamento bastante evidenciado em regiões áridas e semiáridas, que ocorre em decorrência da redução na disponibilidade hídrica ocasionada pelos baixos volumes pluviais nesses locais em determinadas épocas do ano (Teixeira et al, 2008;Silva et al, 2017). A baixa oferta de umidade em consequência do período seco da região é um forte fator ao não desenvolvimento da não vegetação, consequentemente diminui a atividade fotossintética, com isso uma maior quantidade de energia fica disponível para ser convertida em H (Lima et al, 2017;Silva et al, 2017;Bezerra et al, 2022;Zitouna-Chebbi et al, 2023).…”

Section: Componentes Do Balanço De Energia E Evapotranspiraçãounclassified

A Caatinga Emite ou Sequestra Carbono?

Oliveira¹,

Lima²,

Souza

et al. 2023

Rev. Bras. Geog. Fis.

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Ecossistemas de regiões semiáridas, como a Caatinga, estão sendo afetados pelas mudanças climáticas globais, causando alterações na evapotranspiração (ET) e nos fluxos de CO2. Desse modo, o trabalho objetivou quantificar os fluxos de CO2 e ET, com o intuito de observar se a Caatinga atua como fonte ou como sumidouro de CO2. As medidas foram realizadas numa área de Caatinga, durante um período de 13 meses, no município de São João/PE, utilizando-se a metodologia da correlação dos turbilhões, com um analisador de CO2 e H2O e um anemômetro sônico tridimensional. Além disso, foi medida a umidade do solo nas profundidades de 10 a 50 cm. A ET variou de 0,4 a 4,7 mm d-1, com uma média de 2,33 mm d-1 e total de 933 mm. A ET também seguiu as variações da precipitação pluvial, com os valores mais elevados no período úmido e os menores, no período seco, possivelmente devido à baixa capacidade de retenção de água no solo. A variação do fluxo de CO2 na Caatinga indicou que a vegetação atuou ora como fonte e ora como sumidouro de carbono, com valores variando entre -4,89 e 6,87 μmol m-2 s-1. Entretanto, a Caatinga atuou, de maneira geral, como sumidouro de CO2, sequestrando, em média, 4,44 t C ha-1 ano-1. Desse modo, pode-se concluir que, nas condições edafoclimáticas do agreste pernambucano, a Caatinga atua sequestrando CO2 atmosférico, reforçando ainda mais a necessidade de preservação desse ecossistema.Palavras-chave: Caatinga; evapotranspiração; carbono; umidade do solo. Land Use Changes and Effects on the Water Balance Components in Agreste Pernambucano A B S T R A C TEcosystems in semi-arid regions, such as the Caatinga, are being affected by climate change, causing changes in evapotranspiration (ET) and CO2 fluxes. Thus, the work aimed to quantify the CO2 fluxes and ET, in order to observe whether the Caatinga acts as a source or a sink of CO2. The measurements were carried out in an area of Caatinga, during a period of 13 months, in the municipality of São João/PE, using the methodology of eddy covariance, with a CO2 and H2O analyzer and a three-dimensional sonic anemometer. In addition, soil moisture was measured at depths of 10 to 50 cm. The ET ranged from 0.4 to 4.7 mm d-1, with a mean of 2.3 mm d-1 and a total of 933 mm. The ET also followed the variations in rainfall, with the highest values in the wet season and the lowest in the dry season, possibly due to the low water retention capacity in the soil. The variation of the CO2 flux in the Caatinga indicated that the vegetation acted either as a source or as a sink of carbon, with values varying between -4.89 and 6.87 μmol m-2 s-1, being that the Caatinga acted, in general, as a CO2 sink, sequestering, on average, 4.44 t C ha-1 year-1. Thus, it can be concluded that, in the edaphoclimatic conditions of the Agreste of Pernambuco, the Caatinga acts by sequestering atmospheric CO2, further reinforcing the need to preserve this ecosystem.Key words: Caatinga; evapotranspiration; carbon; soil water content.

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“…Researchers have carried out in-depth studies of ET 0 from general areas to regions with special climatic and geographical conditions, such as around the Mediterranean Sea [8,9]. In such studies, information describing crop water consumption is typically obtained by recording regional evapotranspiration and surface energy flux [10]. In the context of climate change, the study and analysis of temporal and spatial variations and complex periodic variations in evapotranspiration can provide a relevant basis for irrigation water management [11,12].…”

Section: Introductionmentioning

confidence: 99%

Climate Change Impacts on Agricultural and Industrial Water Demands in the Beijing–Tianjin–Hebei Region Using Statistical Downscaling Model (SDSM)

Zhou,

Zhong,

Chen

et al. 2023

Water

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As a politically and culturally important city cluster, the Beijing–Tianjin–Hebei (BTH) region is the most prominent area in China where the imbalance between the supply and demand of water resources restricts the sustainable and healthy development of the regional social economy. In the context of global warming, research into water demand prediction that takes climate change into consideration would be more in line with the strategic goal of the low-carbon sustainable development of future cities. At the same time, the prediction of agricultural water demands against a background of climate change is urgently needed, while industrial water consumption is weakly correlated with climate change, an investigation of the statistical relationship between the two is needed. Thus, in this paper, future climate data from the BTH region under the scenarios RCP2.6, RCP4.5 and RCP8.5 were generated using a statistical downscaling model, and then coupled with agricultural and industrial water demand prediction models to simulate and analyze the impact of climate change on the agricultural and industrial water demands, respectively. The results show that during the forecast period (2020–2035), the reference crop evapotranspiration (ET0) growth rates in the Beijing, Tianjin and Hebei areas under the RCP2.6 scenario are 1.438 mm·a−1, 1.393 mm·a−1 and 2.059 mm·a−1, respectively. Under the RCP4.5 scenario, they are 2.252 mm·a−1, 2.310 mm·a−1 and 2.827 mm·a−1, respectively. Under the RCP8.5 scenario, they are 3.123 mm·a−1, 2.310 mm·a−1 and 2.141 mm·a−1, respectively. Furthermore, under each climate scenario, the increase in evapotranspiration in the Hebei area is the largest, followed by that in the Tianjin area, and that in the Beijing area is the smallest. For water consumption per CNY 10,000 of industrial added value during the forecast period, under the three different climate scenarios, a downward trend is seen in the Beijing area, with rates of 0.158, 0.153 and 0.110, respectively, but in the Tianjin area, there is an upward trend, with an upward tendency in rates of 0.170, 0.087 and 0.071, and an upward trend in the Hebei area, with an upward tendency in rates of 0.254, 0.071 and 0.036, respectively. This study will help the BTH region to rationally allocate agricultural and industrial water against the background of future climate change, and strengthen the coordination and cooperation between the different regions to promote the healthy and sustainable development of the cities.

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Documenting evapotranspiration and surface energy fluxes over rainfed annual crops within a Mediterranean hilly agrosystem

Cited by 5 publications

References 65 publications

Energy Partitioning and Latent Heat Flux Driving Factors of the CAM Plant Pineapple (Ananas comosus (L.) Merril) Grown in the South Subtropical China

Energy Partitioning and Latent Heat Flux Driving Factors of the CAM Plant Pineapple (Ananas comosus (L.) Merril) Grown in the South Subtropical China

A Caatinga Emite ou Sequestra Carbono?

Climate Change Impacts on Agricultural and Industrial Water Demands in the Beijing–Tianjin–Hebei Region Using Statistical Downscaling Model (SDSM)

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