4.5 Article

Influence of ENSO on Droughts and Vegetation in a High Mountain Equatorial Climate Basin

期刊

ATMOSPHERE
卷 13, 期 12, 页码 -

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MDPI
DOI: 10.3390/atmos13122123

关键词

ENSO; SPEI; NDVI; Wavelet coherence; equatorial Andean basin

资金

  1. University of Azuay through its Vicerrectorado de Investigaciones and Instituto de Estudios de Regimen Seccional del Ecuador (IERSE) via the project Evaluacion de la relacion entre la sequia y el fenomeno ENOS

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This study analyzed the relationships between droughts, vegetation, and El Nino-Southern Oscillation (ENSO) in a sub-basin of the tropical Andes. The results showed significant negative correlations between meteorological drought and vegetation, with ENSO playing a major role in this relationship.
Several studies have assessed droughts and vegetation considering climatic factors, particularly El Nino-Southern Oscillation (ENSO) at different latitudes. However, there are knowledge gaps in the tropical Andes, a region with high spatiotemporal climatic variability. This research analyzed the relationships between droughts, vegetation, and ENSO from 2001-2015. Meteorological drought was analyzed using the Standardized Precipitation Evapotranspiration Index (SPEI) for 1, 3 and 6 months. Normalized Difference Vegetation Index (NDVI) was used to evaluate vegetation, and ENSO indexes were used as climate drivers. The Wavelet coherence method was used to establish time-frequency relationships. This approach was applied in the Machangara river sub-basin in the Southern Ecuadorian Andes. The results showed significant negative correlations during 2009-2013 between the SPEI and NDVI, with the SPEI6 lagging by nine months and a return period of 1.5 years. ENSO-SPEI presented the highest negative correlations during 2009-2014 and a return period of three years, with ENSO leading the relationship for around fourteen months. ENSO-NDVI showed the highest positive correlations during 2004-2008 and a return period of one year, with the ENSO indexes continually delayed by approximately one month. These results could be a benchmark for developing advanced studies for climate hazards.

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