Analysis of Multispectral Drought Indices in Central Tunisia

Farhani, Nesrine; Carreau, Julie; Kassouk, Zeineb; Page, Michel Le; Lili-Chabaane, Zohra; Boulet, G.

doi:10.3390/rs14081813

Cited by 9 publications

(8 citation statements)

References 67 publications

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“…Recently, there has been a growing trend in employing temperature vegetation indices [191][192][193]. These indices derive their strength from the combined analysis of spectral reflectance, indicating the presence of vegetation stress even before visible damage occurs, and the variation in temperature conditions within the canopy.…”

Section: Overall Findingsmentioning

confidence: 99%

Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests

Harper

Dell

2023

Remote Sensing

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In the context of climate change, the occurrence of water stress in forest ecosystems, which are solely dependent on precipitation, has exhibited a rising trend, even among species that are typically regarded as drought-tolerant. Remote sensing techniques offer an efficient, comprehensive, and timely approach for monitoring forests at local and regional scales. These techniques also enable the development of diverse indicators of plant water status, which can play a critical role in evaluating forest water stress. This review aims to provide an overview of remote sensing applications for monitoring water stress in forests and reveal the potential of remote sensing and geographic information system applications in monitoring water stress for effective forest resource management. It examines the principles and significance of utilizing remote sensing technologies to detect forest stress caused by water deficit. In addition, by a quantitative assessment of remote sensing applications of studies in refereed publications, the review highlights the overall trends and the value of the widely used approach of utilizing visible and near-infrared reflectance data from satellite imagery, in conjunction with classical vegetation indices. Promising areas for future research include the utilization of more adaptable platforms and higher-resolution spectral data, the development of novel remote sensing indices with enhanced sensitivity to forest water stress, and the implementation of modelling techniques for early detection and prediction of stress.

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Section: Overall Findingsmentioning

confidence: 99%

Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests

Harper

Dell

2023

Remote Sensing

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“…By 2100 Temperature +1.5 • C to + 1.9 • C +1.9 • C to + 3.9 Drought occurrence could be quantified by a long time series of historical indicators [7]. The sheep farmers' climate change severity perceptions (n = 94) show that the surveyed farmers were generally conscious of climate change, especially the decrease in precipitation and the increase in temperature during the last decades, particularly in the cases of the agro-pastoral rain-fed and the agro-sylvo-pastoral systems.…”

Section: By 2050mentioning

confidence: 99%

“…However, these bio-climatic regions are known for their high exposure to extreme climatic variability, such as the frequent occurrence of hot temperatures, along with a deficit of rainfall. Drought succession [7] impacts mainly wheat and other rain-fed crops that are critical to food security and livestock survival [8], which in turn threatens the agro-ecosystem in general and the livestock's productivity, health, and sustainability in particular. In fact, during the last decade, the substantial warming tendency has become more and more pronounced during the hot season [9].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Management Practices and Breeders’ Perceptions of Climate Change’s Impact to Enhance the Resilience of Sheep Production Systems: A Case Study in the Tunisian Semi-Arid Zone

Mohamed-Brahmi,

Ameur,

Mekki

et al. 2024

Animals

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Global climate change inflicts unambiguous risks on agricultural systems and food security. Small ruminants are known for their ability to adapt to changing environmental conditions. This paper aims to characterize sheep production systems in a vulnerable agricultural zone and the breeders’ perceptions of climate change to apprehend challenges that they are confronting, and formulate resilience actions. The data analysis is based on 94 semi-structured surveys of sheep farmers carried out in the Tunisian semi-arid region. The PCA analysis results revealed three main sheep production systems. The agro-pastoral rain-fed system (AGPRF) is dominant (55%), with large farms and common pastures integrating cereals and fodder. The agro-pastoral irrigated system (AGPI: 20%) is characterized by small-area and forage irrigation (1.8 ha) and a smaller number of ewes but a greater use of animal feed supplementation. The agro-sylvo-pastoral system (AGSP: 25%) is a system where grazing is based on common lands and using tree sub-products, while the agricultural area is exclusively used to cultivate cereal crops. Sheep breeders’ climate perceptions are summarized as unpredictable climate events, a decrease in precipitation, and an increase in temperature. Resilience actions principally consist of reducing flocks’ numbers, using alternative local feed, fodder, and water resources, and building more shelters and planting more trees in the grazing areas. Nevertheless, cost-effectiveness should be considered in such vulnerable zones to insure the sheep production systems’ sustainability.

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“…The difference between precipitation and actual evapotranspiration (AET) has been used in recent studies [60,61]. However, AET does not fully take into account water demand, and precipitation is not the only source of water, particularly in irrigated areas [62].…”

Section: Interactions Between Drought Indicesmentioning

confidence: 99%

Toward a Redefinition of Agricultural Drought Periods—A Case Study in a Mediterranean Semi-Arid Region

Oukaddour,

Le Page,

Fakir

2023

Remote Sensing

Self Cite

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Drought is a powerful natural hazard that has significant effects on ecosystems amid the constant threats posed by climate change. This study investigates agricultural drought in a semi-arid Mediterranean basin through the interconnections among four indices: precipitation (meteorological reanalysis), vegetation development, thermal stress, and soil water deficit (remote sensing observations). While drought seems to be a clear concept with effective assessment tools (e.g., SPI and SPEI), the definition of drought periods is blurrier. This article examines the main drivers of agricultural drought, precipitation, soil moisture deficit, incipient vegetation development, and rising soil surface temperature. Their temporal connections in various agrosystems of the basin and the determination of drought periods by revisiting the run theory were investigated. The Pearson correlations at different spatial scales showed a medium to low level of agreement between the indices, which was explained by the geographical heterogeneity and the climatic variability between the agrosystems within the basin. It was also shown that the cascade of impacts expected from lower precipitations was revealed by the cross-correlation analysis. The connection between precipitation deficit and vegetation remains significant for at least one month for most pairs of indices, especially during drought events, suggesting that agricultural drought spells can be connected in time through the three or four selected indices. Short-, mid-, and long-term impacts of precipitation deficiencies on soil moisture, vegetation, and temperature were revealed. As expected, the more instantaneous variables of soil moisture and surface temperature showed no lag with precipitation. Vegetation anomalies at the monthly time step showed a two-month lag with a preceding effect of vegetation to precipitation. Finally, the determination of drought events and stages with varying thresholds on the run theory showed large variability in duration, magnitude, and intensity according to the choice of both normality and dryness thresholds.

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Analysis of Multispectral Drought Indices in Central Tunisia

Cited by 9 publications

References 67 publications

Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests

Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests

Analysis of Management Practices and Breeders’ Perceptions of Climate Change’s Impact to Enhance the Resilience of Sheep Production Systems: A Case Study in the Tunisian Semi-Arid Zone

Toward a Redefinition of Agricultural Drought Periods—A Case Study in a Mediterranean Semi-Arid Region

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