An integrated approach for the estimation of agricultural drought costs

García-León, David; Standardi, Gabriele; Staccione, Andrea

doi:10.1016/j.landusepol.2020.104923

Cited by 32 publications

(20 citation statements)

References 23 publications

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“…The website of the European Environment Agency [51,52] (first version before 2018 and updated version in November 2019) provides a large overview of WEI + for river basin districts, calculated by These results demonstrate water management stress in the Upper Tiber River basin, with possible relevant impacts in the socio-economic field; for example, León et al [50] estimated the total costs of agricultural droughts as a percentage of Gross Domestic Product losses in Italy. These losses ranged from 0.03% under mild drought stress to 0.05% and 0.10% under moderate and extreme drought levels, respectively.…”

Section: Discussionmentioning

confidence: 99%

A New Approach to Calculate the Water Exploitation Index (WEI+)

Casadei

Peppoloni

Pierleoni

2020

Water

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The Water Exploitation Index (WEI), or withdrawal ratio, is an indicator of water scarcity, which has been updated into its WEI+ form by the Committee of Experts of the European Commission. In calculating the total abstraction of fresh water, this indicator also includes the possible return flow and management rules. The demand for freshwater and long-term freshwater resources are both necessary to calculate the WEI+. These values are not easy to assess at basin or sub-basin level and, for this reason, WEI values are generally calculated at the country level. This paper introduces a new approach to calculate the WEI+, with the purpose of extending its use to basin and sub-basin levels. The methodology is based on flow duration curve estimation, which evaluates freshwater resources, and a Web-GIS system that evaluates water abstractions distribution. This approach allows for the assessment of locally stressed areas in the hydrographic network and could provide a fundamental step toward more comprehensive regional water resources management plans. The new methodology is tested in some sub-basins of the Upper Tiber River Basin (Italy). These results contribute to the analysis of water withdrawals sustainability, based on the policy of the European Environment Agency, which is aimed toward the development of a proactive approach for reducing water stress.

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Section: Discussionmentioning

confidence: 99%

A New Approach to Calculate the Water Exploitation Index (WEI+)

Casadei

Peppoloni

Pierleoni

2020

Water

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“…In Equation ( 5), ED runs from 0 to 1, with the lowest value being the worst condition. ED = (PET − AET)/PET (5) In this research, SEDI calculation followed the formulation presented in Mercado et al [55] that considers Equation (5) for ED calculation.…”

Section: Standardized Evapotranspiration Deficit Index (Sedi)mentioning

confidence: 99%

“…Drought has a negative impact on the agriculture, service sector, and production market. It also has a large impact on human health and ecosystems [4][5][6]. Drought impacts make it one of the most severe and damaging natural hazards [7].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Drought Risk Assessment Considering Resilience and Heterogeneous Vulnerability Factors: Lempa Transboundary River Basin in The Central American Dry Corridor

Khoshnazar

Corzo

Diaz

2021

JMSE

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Drought characterization and risk assessment are of great significance due to drought’s negative impact on human health, economy, and ecosystem. This paper investigates drought characterization and risk assessment in the Lempa River basin in Central America. We applied the Standardized Evapotranspiration Deficit Index (SEDI) for drought characterization and drought hazard index (DHI) calculation. Although SEDI’s applicability is theoretically proven, it has been rarely applied. Drought risk is generally derived from the interactions between drought hazard (DHI) and vulnerability (DVI) indices but neglects resilience’s inherent impact. Accordingly, we propose incorporating DHI, DVI, and drought resilience index (DREI) to calculate drought risk index (DRI). Since system factors are not equally vulnerable, i.e., they are heterogeneous, our methodology applies the Analytic Hierarchy Process (AHP) to find the weights of the selected factors for the DVI computation. Finally, we propose a geometric mean method for DRI calculation. Results show a rise in DHI during 2006–2010 that affected DRI. We depict the applicability of SEDI via its relationship with El Nino-La Nina and El Salvador’s cereal production. This research provides a systematic drought risk assessment approach that is useful for decision-makers to allocate resources more smartly or intervene in Drought Risk Reduction (DRR). This research is also useful for those interested in socioeconomic drought.

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“…In this regard, independent estimates of actual drought impacts, such as records of yield deviations for different crop types, constitute a valuable reference to assess how the relationship between anomalies in vegetation indices and drought conditions varies in space and throughout the year. This also enables the evaluation of the efficiency of remotely sensed indicators as a proxy for the effect of drought on vegetated land, and the refinement of their use as stress-forcing data for agro-economic models, for the assessment of losses in agriculture due to droughts (García-León et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the relationship between yield in cereals and remotely sensed fAPAR in the framework of monitoring drought impacts in Europe

Cammalleri

McCormick

Toreti

2022

Preprint

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Abstract. This study analyses the relationship between satellite-measured fAPAR (Fraction of Absorbed Photosynthetically Active Radiation), which are continuously monitored by the European Drought Observatory (EDO) of the EU’s Copernicus Emergency Management Service, and crop yield data for cereals, which are collected by Eurostat. Different features of the relationship between annual yield and multiple time series of fAPAR, collected during different periods of the year, were investigated. Two key outcomes of the analysis were the identification of the period from March to October as that when the highest positive correlation between fAPAR and yield is detected in Europe on average, and February to May as the period when most of the negative correlation are observed. While both periods align well with the commonly assumed dynamic of the growing season, spatial differences are also observed across Europe. On the one hand, the Mediterranean regions report the highest correlation values (r > 0.8) and the longest continuous periods with positive statistically significant results (up to 7 months), covering most of the growing season. On the other hand, the central European region is characterized by the most limited positive correlation values, with only 2 months or less showing statistically significant results. While marked differences on the overall capability to capture the full dynamic of yield are observed across Europe, fAPAR anomalies seem capable to distinguish between drought and no/drought years in most of the cases if negative yield anomalies are used as a proxy variable for drought impacts.

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An integrated approach for the estimation of agricultural drought costs

Cited by 32 publications

References 23 publications

A New Approach to Calculate the Water Exploitation Index (WEI+)

A New Approach to Calculate the Water Exploitation Index (WEI+)

Spatiotemporal Drought Risk Assessment Considering Resilience and Heterogeneous Vulnerability Factors: Lempa Transboundary River Basin in The Central American Dry Corridor

Analysis of the relationship between yield in cereals and remotely sensed fAPAR in the framework of monitoring drought impacts in Europe

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