Dendroclimatic reconstruction of precipitation and temperature for the Mayo River basin in northwestern Mexico

Key message The conifer tree rings and spatial climate information allow reconstructing climate in areas with scarce observed data. Dendroclimatic reconstructions in agricultural basins lacking streamflow data such as the Mayo river basin (MRB) in Northern, Mexico, are important to analyze the inter...

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Bibliographic Details
Published in:Trees (Berlin, West) West), 2022-04, Vol.36 (2), p.835-847
Main Authors: Martínez-Sifuentes, Aldo Rafael, Villanueva-Díaz, José, Correa-Díaz, Arián, Estrada-Ávalos, Juan, Trucíos-Caciano, Ramón, Estrada-Arellano, Josué Raymundo, Cardoza-Martínez, Gabriel Fernando, Garza-Martínez, Miguel Ángel
Format: Article
Language:English
Subjects:
Agriculture
Biomedical and Life Sciences
Climate
Climate variability
Coniferous trees
Data collection
Dendrochronology
El Nino
Evapotranspiration
Forestry
Hydrologic data
Life Sciences
Original Article
Plant Anatomy/Development
Plant Pathology
Plant Physiology
Plant Sciences
Precipitation
Reconstruction
River basins
Rivers
Southern Oscillation
Spectral analysis
Spectrum analysis
Stream discharge
Stream flow
Time series
Tree Rings
Variability
Water availability
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Summary:Key message The conifer tree rings and spatial climate information allow reconstructing climate in areas with scarce observed data. Dendroclimatic reconstructions in agricultural basins lacking streamflow data such as the Mayo river basin (MRB) in Northern, Mexico, are important to analyze the interannual and multiannual climatic variability and streamflow volumes used for agricultural purposes. The objective of this study was to develop a dendroclimatic reconstruction of precipitation and temperature in MRB and to determine the high and low-frequency variability of climate in the region. Dendrochronological series for the study area were downloaded from The International Tree-Ring Data Bank and associated with precipitation and temperature records generated with the North American Land Data Assimilation System v002. The reconstructed model for the analyzed variables were generated for the subperiods with the highest correlation values. High-frequency events were identified with a Density Spectral Analysis. Mann–Kendall and Pettitt tests were used to determine significant trends in the reconstructed time series. In addition, an association between the regional chronology and Standardized Evapotranspiration–Precipitation Index was determined. Time series of precipitation and temperature were reconstructed for the period 1750–2019, highlighting 30 and 28 wet and dry episodes, respectively. We found a significant ( p  
ISSN:0931-1890
1432-2285
DOI:10.1007/s00468-021-02253-1