Monitoring and Modelling Evapotranspiration in Flooded and Aerobic Rice Fields

Facchi, A.; Gharsallah, Olfa; Chiaradia, Enrico Antonio; Bischetti, Gian Battista; Gandolfi, Claudio

doi:10.1016/j.proenv.2013.06.088

Cited by 16 publications

(9 citation statements)

References 14 publications

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“…Rice seeding under flooding, while requiring a large amount of water availability (15,000-20,000 m 3 /ha [24]), allows for a better soil drainage, since aquifers rise during flooding. On the contrary, dry seeding requires instead less water and leads to lower evapotranspiration losses [25], but the water loss by percolation is higher, Figure 1. Total number of nests of the two most abundant breeding waterbirds, the grey heron and the little egret, in northwestern Italy during the time window analyzed in this study, compared to their predominant foraging habitat [22,23].…”

Section: The Importance Of Monitoring Standing Water Dynamicsmentioning

confidence: 99%

“…Rice seeding under flooding, while requiring a large amount of water availability (15,000-20,000 m 3 /ha [24]), allows for a better soil drainage, since aquifers rise during flooding. On the contrary, dry seeding requires instead less water and leads to lower evapotranspiration losses [25], but the water loss by percolation is higher, especially during the first flooding events (beginning of summer), when water availability is generally lower [16,17]. Moreover, a delayed maximum water requirement (at the beginning of June instead of at the end of April) can cause competition with other crops, with consequent problems for water management at the district scale [26].…”

Section: The Importance Of Monitoring Standing Water Dynamicsmentioning

confidence: 99%

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Assessment of Water Management Changes in the Italian Rice Paddies from 2000 to 2016 Using Satellite Data: A Contribution to Agro-Ecological Studies

et al. 2018

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The intensive rice cultivation area in northwestern Italy hosts the largest surface of rice paddies in Europe, and it is valued as a substantial habitat for aquatic biodiversity, with the paddies acting as a surrogate for the lost natural wetlands. The extent of submerged paddies strictly depends on crop management practices: in this framework, the recent diffusion of rice seeding in dry conditions has led to a reduction of flooded surfaces during spring and could have contributed to the observed decline of the populations of some waterbird species that exploit rice fields as foraging habitat. In order to test the existence and magnitude of a decreasing trend in the extent of submerged rice paddies during the rice-sowing period, MODIS remotely-sensed data were used to estimate the extent of the average flooded surface and the proportion of flooded rice fields in the years 2000-2016 during the nesting period of waterbirds. A general reduction of flooded rice fields during the rice-sowing season was observed, averaging −0.86 ± 0.20% per year (p-value < 0.01). Overall, the loss in submerged surface area during the sowing season reached 44% of the original extent in 2016, with a peak of 78% in the sub-districts to the east of the Ticino River. Results highlight the usefulness of remote sensing data and techniques to map and monitor water dynamics within rice cropping systems. These techniques could be of key importance to analyze the effects at the regional scale of the recent increase of dry-seeded rice cultivations on watershed recharge and water runoff and to interpret the decline of breeding waterbirds via a loss of foraging habitat.

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Section: The Importance Of Monitoring Standing Water Dynamicsmentioning

confidence: 99%

“…Rice seeding under flooding, while requiring a large amount of water availability (15,000-20,000 m 3 /ha [24]), allows for a better soil drainage, since aquifers rise during flooding. On the contrary, dry seeding requires instead less water and leads to lower evapotranspiration losses [25], but the water loss by percolation is higher, especially during the first flooding events (beginning of summer), when water availability is generally lower [16,17]. Moreover, a delayed maximum water requirement (at the beginning of June instead of at the end of April) can cause competition with other crops, with consequent problems for water management at the district scale [26].…”

Section: The Importance Of Monitoring Standing Water Dynamicsmentioning

confidence: 99%

Assessment of Water Management Changes in the Italian Rice Paddies from 2000 to 2016 Using Satellite Data: A Contribution to Agro-Ecological Studies

et al. 2018

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“…These (Facchi et al 2013a). For both periods longwave radiation from IRR is slightly higher than for FLD.…”

Section: Solar Radiationmentioning

confidence: 68%

“…, Gharsallah et al (2013) and Facchi et al (2013a). As explained in Hossen et al (2012) the lack of a complete energy balance closure has been reported for most of the eddy covariance studies (Wilson et al 2002), and some of them identified that the measurement errors could be related to soil heat flux as well as horizontal energy advection, energy used in photosynthesis, and heat storage in the canopy and top soil (Mayer and Hollinger 2004;Tsai et al 2007;Foken 2008b).…”

Section: Energy Balance Closurementioning

confidence: 99%

Surface energy flux measurements in a flooded and an aerobic rice field using a single eddy-covariance system

Masseroni

Facchi

Romani³

et al. 2014

Paddy Water Environ

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About 90 % of the global rice production takes place in Asia, while European production is quantitatively modest. Italy is the Europe's leading producer, with over half of total production concentrated in a large, traditional paddy rice area in the north of the country. High irrigation requirement for continuous flooding encourages the adoption of water saving techniques. In 2013, an intense monitoring activity was conducted on two fields characterized by continuous flooding and intermittent irrigation regimes, with the aim of comparing their agronomical and hydrological effects, including their influence on the energy balance. An eddy covariance station was installed on the levee between the two fields, to monitor latent (LE) and sensible (H) heat fluxes as a function of wind direction. Additionally, the fields were instrumented with net radiometers, soil heat flux (G) plates, thermistors, tensiometers, and multilevel moisture probes. Three footprint models were applied to determine position and size of the footprint area at each monitoring time step, providing similar results. Two half-hourly turbulent fluxes datasets were obtained, one for each irrigation regime, each one comprising about 10 % of the daytime time steps over the agricultural season. The reliability of the monitoring performed with a single EC station was confirmed by the energy balance closure (H ? LE versus R n -G), showing an imbalance lower than 10 % for both the regimes. A detailed analysis of the effect of the storage terms on the ground heat flux estimation and a more thorough analysis of the radiation balance for the two plots were also performed.

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“…In the last years, many works have addressed the study of λE in rice areas (Chemin & Honda, 2006;Chávez et al, 2008;Facchi et al, 2013). The measurement or estimation of λE in flooded ecosystems such as rice paddies present many challenges: intra-annual variations in surface cover, the possible effect of air advection and the quantification of water evaporation beneath the canopy among others (Drexler et al, 2004;Yan et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Monitoring of water dynamics in rice ecosystems based on remote sensing time series

Castillo¹

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A las personas, porque son lo que de verdad importa. A Alicia y José, por acoger esta tesis cuando nadie quería, por enseñarme y ayudarme, por hacer su magia dándole sentido a este proyecto. Y sobre todo, gracias por dar siempre en positivo: honestidad, bondad de corazón y optimismo. A Federico, por darme todo su apoyo y respaldo para sacarla adelante, y por su empatía, ánimos y preocupación. A las buenas personas que me han rodeado, por la fortaleza que me dieron, por las palabras amables, por devolverme la esperanza, por su generosidad y porque siempre son más y al final, la bondad gana. A las que me acogieron con calidez sin conocerme de nada en Dinamarca. A las que no tuvieron miedo de apoyar y luchar hasta el final para hacer valer los derechos de todos. A los que entraron en el despacho para apoyar, consolar, ayudar, escuchar y abrazar. A los que han compartido Navidades escribiendo papers en casa, domingos llegando tarde a comer y ausencias, con sonrisas, ánimo y comprensión. A los que me han inspirado, y dado fuerzas, con amor incondicional. A las personas que me pusieron problemas, porque me han enseñado mi propia valentía y determinación, y pasaron por mi vida porque tenía algo que aprender. A las pérdidas, y a todo lo doloroso que ha acompañado esta tesis. Me ha obligado a la fortaleza y a luchar, trayendo lecciones duras que no se olvidan. A Carmen, porque sobre todos los apoyos, personas maravillosas, vivencias positivas y vivencias duras, esta tesis es gracias a ella, y también soy gracias a ella la persona que ha llegado hasta aquí. Gracias por acompañarme en toda esta aventura, en lo duro y en lo terrible, en los éxitos y en los momentos felices. Todo esto es en gran parte posible porque hemos llegado juntas hasta aquí, porque somos un equipo. Hay gratitud que no se puede expresar con palabras, y gestos que nunca se podrán devolver. Espero que el tiempo me dé esa oportunidad ¡Aún nos queda mucho camino!

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Monitoring and Modelling Evapotranspiration in Flooded and Aerobic Rice Fields

Cited by 16 publications

References 14 publications

Assessment of Water Management Changes in the Italian Rice Paddies from 2000 to 2016 Using Satellite Data: A Contribution to Agro-Ecological Studies

Assessment of Water Management Changes in the Italian Rice Paddies from 2000 to 2016 Using Satellite Data: A Contribution to Agro-Ecological Studies

Surface energy flux measurements in a flooded and an aerobic rice field using a single eddy-covariance system

Monitoring of water dynamics in rice ecosystems based on remote sensing time series

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