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How well do meteorological indicators represent agricultural and forest drought across Europe?

Environmental research letters, 2018-03, Vol.13 (3), p.34042 [Peer Reviewed Journal]

2018 The Author(s). Published by IOP Publishing Ltd ;2018. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1748-9326 ;EISSN: 1748-9326 ;DOI: 10.1088/1748-9326/aaafda ;CODEN: ERLNAL

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  • Title:
    How well do meteorological indicators represent agricultural and forest drought across Europe?
  • Author: Bachmair, S ; Tanguy, M ; Hannaford, J ; Stahl, K
  • Subjects: Agricultural drought ; Cereal crops ; Correlation analysis ; Crop yield ; Drought ; drought monitoring and early warning ; Early warning systems ; Environmental impact ; Environmental monitoring ; Environmental risk ; Indicators ; Information systems ; meteorological drought ; meteorological drought indicators ; Regression models ; Remote sensing ; remote sensing drought indicators ; Risk assessment ; Risk management ; Silviculture ; Vegetation ; vegetation drought indices
  • Is Part Of: Environmental research letters, 2018-03, Vol.13 (3), p.34042
  • Description: Drought monitoring and early warning (M&EW) systems are an important component of agriculture/silviculture drought risk assessment. Many operational information systems rely mostly on meteorological indicators, and a few incorporate vegetation state information. However, the relationships between meteorological drought indicators and agricultural/silvicultural drought impacts vary across Europe. The details of this variability have not been elucidated sufficiently on a continental scale in Europe to inform drought risk management at administrative scales. The objective of this study is to fill this gap and evaluate how useful the variety of meteorological indicators are to assess agricultural/silvicultural drought across Europe. The first part of the analysis systematically linked meteorological drought indicators to remote sensing based vegetation indices (VIs) for Europe at NUTs3 administrative regions scale using correlation analysis for crops and forests. In a second step, a stepwise multiple linear regression model was deployed to identify variables explaining the spatial differences observed. Finally, corn crop yield in Germany was chosen as a case study to verify VIs' representativeness of agricultural drought impacts. Results show that short accumulation periods of SPI and SPEI are best linked to crop vegetation stress in most cases, which further validates the use of SPI3 in existing operational drought monitors. However, large regional differences in correlations are also revealed. Climate (temperature and precipitation) explained the largest proportion of variance, suggesting that meteorological indices are less informative of agricultural/silvicultural drought in colder/wetter parts of Europe. These findings provide important context for interpreting meteorological indices on widely used national to continental M&EW systems, leading to a better understanding of where/when such M&EW tools can be indicative of likely agricultural stress and impacts.
  • Publisher: Bristol: IOP Publishing
  • Language: English
  • Identifier: ISSN: 1748-9326
    EISSN: 1748-9326
    DOI: 10.1088/1748-9326/aaafda
    CODEN: ERLNAL
  • Source: IOP Publishing Free Content
    IOPscience (Open Access)
    GFMER Free Medical Journals
    ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central
    DOAJ Directory of Open Access Journals
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