Analysis of evapotranspiration components of a rainfed olive orchard during three contrasting years in a semi-arid climate

Chebbi, Wafa; Boulet, Gilles; Dantec, Valérie Le; Lili-Chabaane, Zohra; Fanise, Pascal; Mougenot, Bernard; Ayari, Hassan

doi:10.1016/j.agrformet.2018.02.020

Cited by 36 publications

(23 citation statements)

References 94 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sap flow sensors are already used for estimating Tt in cultivated (both rainfed and irrigated) olive trees (Olea europaea) (Chebbi et al, 2018;Karray et al, 2008;Rallo and Provenzano, 2013;Tognetti et al, 2004). As expected, Tt decreased drastically as soil dried in rainfed cultivated olive trees, reaching very low values (Ennajeh et al, 2008;Sofo et al, 2008); this is also commonly represented in ecohydrologic models (Karray et al, 2008;Kutílek and Nielsen, 1994;Laio et al, 2001;Nadezhdina et al, 2015;Rallo and Provenzano, 2013;Verhoef and Egea, 2014).…”

Section: Introductionmentioning

confidence: 64%

On the transpiration of wild olives under water-limited conditions in a heterogeneous ecosystem with shallow soil over fractured rock

Corona

Montaldo

2020

Journal of Hydrology and Hydromechanics

View full text Add to dashboard Cite

Mediterranean ecosystems are typically heterogeneous and savanna-like, with trees and grass competing for water use. By measuring sap flow, we estimated high transpiration of wild olive, a common Mediterranean tree, in Sardinia despite dry conditions. This estimate agrees with independent estimates of tree transpiration based on energy balance, highlighting the wild olive’s strong tolerance of dry conditions. The wild olive can develop an adaptation strategy to tolerate dry conditions. In this Sardinian case study, the wild olive grew in shallow soil, and the tree roots expanded into the underlying fractured basalt. The trees survived in dry periods using water infiltrated during wet seasons into fractured rocks and held in soil pockets. We estimated a high upward vertical flux through the bottom soil layer from the underlying substrate, which reached 97% evapotranspiration in August 2011. The water taken up by tree roots from bedrock hollows is usually neglected in ecohydrological modeling.

show abstract

Section: Introductionmentioning

confidence: 64%

On the transpiration of wild olives under water-limited conditions in a heterogeneous ecosystem with shallow soil over fractured rock

Corona

Montaldo

2020

Journal of Hydrology and Hydromechanics

View full text Add to dashboard Cite

show abstract

“…The combined exposure, vulnerability, and resilience of a catchment can result in impacts affecting agriculture (e.g., [9]), infrastructure (e.g., [10]), human health (e.g., [11]), economic activity (e.g., [12], government and institutional practices (e.g., [13]), cultural heritage and community (e.g., [14]), and of course the environment (e.g., [15]). Despite the policy context mentioned earlier, in the last five years (2014-2019), the UK has experienced several significant natural hazard-related disasters [16], affecting over 100,000 people and resulting in over £3.5Bn of direct economic damages.…”

Section: The Catchment As a Complex Natural-social-technical (Nst) Symentioning

confidence: 99%

Resilience in Complex Catchment Systems

Beevers

Bedinger

McClymont

et al. 2021

Water

View full text Add to dashboard Cite

In this paper, we explore how we can use catchment resilience as a unifying concept to manage and regulate catchments, using structured reviews to support our perspective. Catchments are complex systems with interrelated natural, social, and technical aspects. The exposure, vulnerability, and resilience of these aspects (separately and in combination) are the latent conditions, which, when triggered by a hydrohazard, result in catchment impacts. In complex catchment systems, resilience is the ability to bounce back, the ability to absorb, and the ability to transform. When all three abilities are accounted for, we are forced to consider the interactions of the catchment system. Six main complexity concepts can be used to frame how we approach evaluating catchment resilience. These concepts are: natural-social-technical aspects, interactions, spatial scales, time scales, multiple forms of evidence, and uncertainty. In analysing these complexity concepts, we have found that there are several gaps in current practice. Requirements for future methodological approaches are suggested. Central to any effective approach is the incorporation of a linking systems or interaction analysis, which draws together the natural-social-technical system in a meaningful way. If our approaches do not begin to acknowledge the interdependencies and interactions, we may miss substantial opportunities to enhance catchment resilience.

show abstract

“…The site was equipped with infrared temperature sensors over the bare soil and the canopy (IR120, Campbell Scientific Inc, Logan, UT, USA) to measure the canopy and bare soil surface temperature at 9.8 m above ground in the 8 to 14 µm spectral band from March 2012. Data are available on the SEDOO OMP website with the assigned DOI: 10.6096/MISTRALS-SICMED.1479 [30].…”

Section: Tunisian Olive Orchard Data Setmentioning

confidence: 99%

Evaluation of the SPARSE Dual-Source Model for Predicting Water Stress and Evapotranspiration from Thermal Infrared Data over Multiple Crops and Climates

et al. 2018

View full text Add to dashboard Cite

Using surface temperature as a signature of the surface energy balance is a way to quantify the spatial distribution of evapotranspiration and water stress. In this work, we used the new dual-source model named Soil Plant Atmosphere and Remote Sensing Evapotranspiration (SPARSE) based on the Two Sources Energy Balance (TSEB) model rationale which solves the surface energy balance equations for the soil and the canopy. SPARSE can be used (i) to retrieve soil and vegetation stress levels from known surface temperature and (ii) to predict transpiration, soil evaporation, and surface temperature for given stress levels. The main innovative feature of SPARSE is that it allows to bound each retrieved individual flux component (evaporation and transpiration) by its corresponding potential level deduced from running the model in prescribed potential conditions, i.e., a maximum limit if the surface water availability is not limiting. The main objective of the paper is to assess the SPARSE model predictions of water stress and evapotranspiration components for its two proposed versions (the “patch” and “layer” resistances network) over 20 in situ data sets encompassing distinct vegetation and climate. Over a large range of leaf area index values and for contrasting vegetation stress levels, SPARSE showed good retrieval performances of evapotranspiration and sensible heat fluxes. For cereals, the layer version provided better latent heat flux estimates than the patch version while both models showed similar performances for sparse crops and forest ecosystems. The bounded layer version of SPARSE provided the best estimates of latent heat flux over different sites and climates. Broad tendencies of observed and retrieved stress intensities were well reproduced with a reasonable difference obtained for most of the points located within a confidence interval of 0.2. The synchronous dynamics of observed and retrieved estimates underlined that the SPARSE retrieved water stress estimates from Thermal Infra-Red data were relevant tools for stress detection.

show abstract

Analysis of evapotranspiration components of a rainfed olive orchard during three contrasting years in a semi-arid climate

Cited by 36 publications

References 94 publications

On the transpiration of wild olives under water-limited conditions in a heterogeneous ecosystem with shallow soil over fractured rock

On the transpiration of wild olives under water-limited conditions in a heterogeneous ecosystem with shallow soil over fractured rock

Resilience in Complex Catchment Systems

Evaluation of the SPARSE Dual-Source Model for Predicting Water Stress and Evapotranspiration from Thermal Infrared Data over Multiple Crops and Climates

Contact Info

Product

Resources

About