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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| Veröffentlicht in: | Trees (Berlin, West) West), 2022-04, Vol.36 (2), p.835-847 |
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| creator | 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 |
| description | 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
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| doi_str_mv | 10.1007/s00468-021-02253-1 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2640561509</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2640561509</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-9a2ffb7b4ead1e9357acef05835b8634971c409d53b0d8196df7a8891d98e7d93</originalsourceid><addsrcrecordid>eNp9kMtKBDEQRYMoOI7-gKuA69ZK0o9kKb5hRBBdh3S62mlxkjZJq_P3xhnBnVBFweXequIQcszglAE0ZxGgrGUBnOXmlSjYDpmxUvCCc1ntkhkowQomFeyTgxhfAUDUjM-Iu0TXBW_fhpVJg6UBrXcxhcmmwTvqezpmaRiHZDaCcR1NuBoxmDQFpL0PNC2R3pu1p4_DBwbamjg4msv5kJafGBMGR-_xa7D-kOz15i3i0e-ck-frq6eL22LxcHN3cb4orGAqFcrwvm-btkTTMVSiaozFHiopqlbWolQNsyWorhItdJKpuusbI6VinZLYdErMycl27xj8-5Rf0K9-Ci6f1LwuoapZBT8uvnXZ4GMM2OsxZA5hrRnoH656y1VnrnrDVbMcEttQzGb3guFv9T-pb-6UfR0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2640561509</pqid></control><display><type>article</type><title>Dendroclimatic reconstruction of precipitation and temperature for the Mayo River basin in northwestern Mexico</title><source>SpringerLink Journals - AutoHoldings</source><creator>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</creator><creatorcontrib>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</creatorcontrib><description>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
< 0.05) decrease in precipitation (0.0118 mm year
−1
) and an increase in temperature (0.0668 °C year
−1
) for the last 270 years. The seasonal precipitation frequencies were associated with the El Niño Southern Oscillation phenomenon. The association with the Standardized Evapotranspiration–Precipitation Index was significant for the seasonal period October–May (
r
= 0.74,
p
< 0.01). We were able to validate the use of assimilated climatic information to generate climatic reconstruction of precipitation and temperature allowing us to determine the frequency of extreme hydroclimatic events that have affected water availability in this important agricultural region of Mexico.</description><identifier>ISSN: 0931-1890</identifier><identifier>EISSN: 1432-2285</identifier><identifier>DOI: 10.1007/s00468-021-02253-1</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>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</subject><ispartof>Trees (Berlin, West), 2022-04, Vol.36 (2), p.835-847</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-9a2ffb7b4ead1e9357acef05835b8634971c409d53b0d8196df7a8891d98e7d93</citedby><cites>FETCH-LOGICAL-c319t-9a2ffb7b4ead1e9357acef05835b8634971c409d53b0d8196df7a8891d98e7d93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00468-021-02253-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00468-021-02253-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Martínez-Sifuentes, Aldo Rafael</creatorcontrib><creatorcontrib>Villanueva-Díaz, José</creatorcontrib><creatorcontrib>Correa-Díaz, Arián</creatorcontrib><creatorcontrib>Estrada-Ávalos, Juan</creatorcontrib><creatorcontrib>Trucíos-Caciano, Ramón</creatorcontrib><creatorcontrib>Estrada-Arellano, Josué Raymundo</creatorcontrib><creatorcontrib>Cardoza-Martínez, Gabriel Fernando</creatorcontrib><creatorcontrib>Garza-Martínez, Miguel Ángel</creatorcontrib><title>Dendroclimatic reconstruction of precipitation and temperature for the Mayo River basin in northwestern Mexico</title><title>Trees (Berlin, West)</title><addtitle>Trees</addtitle><description>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
< 0.05) decrease in precipitation (0.0118 mm year
−1
) and an increase in temperature (0.0668 °C year
−1
) for the last 270 years. The seasonal precipitation frequencies were associated with the El Niño Southern Oscillation phenomenon. The association with the Standardized Evapotranspiration–Precipitation Index was significant for the seasonal period October–May (
r
= 0.74,
p
< 0.01). We were able to validate the use of assimilated climatic information to generate climatic reconstruction of precipitation and temperature allowing us to determine the frequency of extreme hydroclimatic events that have affected water availability in this important agricultural region of Mexico.</description><subject>Agriculture</subject><subject>Biomedical and Life Sciences</subject><subject>Climate</subject><subject>Climate variability</subject><subject>Coniferous trees</subject><subject>Data collection</subject><subject>Dendrochronology</subject><subject>El Nino</subject><subject>Evapotranspiration</subject><subject>Forestry</subject><subject>Hydrologic data</subject><subject>Life Sciences</subject><subject>Original Article</subject><subject>Plant Anatomy/Development</subject><subject>Plant Pathology</subject><subject>Plant Physiology</subject><subject>Plant Sciences</subject><subject>Precipitation</subject><subject>Reconstruction</subject><subject>River basins</subject><subject>Rivers</subject><subject>Southern Oscillation</subject><subject>Spectral analysis</subject><subject>Spectrum analysis</subject><subject>Stream discharge</subject><subject>Stream flow</subject><subject>Time series</subject><subject>Tree Rings</subject><subject>Variability</subject><subject>Water availability</subject><issn>0931-1890</issn><issn>1432-2285</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kMtKBDEQRYMoOI7-gKuA69ZK0o9kKb5hRBBdh3S62mlxkjZJq_P3xhnBnVBFweXequIQcszglAE0ZxGgrGUBnOXmlSjYDpmxUvCCc1ntkhkowQomFeyTgxhfAUDUjM-Iu0TXBW_fhpVJg6UBrXcxhcmmwTvqezpmaRiHZDaCcR1NuBoxmDQFpL0PNC2R3pu1p4_DBwbamjg4msv5kJafGBMGR-_xa7D-kOz15i3i0e-ck-frq6eL22LxcHN3cb4orGAqFcrwvm-btkTTMVSiaozFHiopqlbWolQNsyWorhItdJKpuusbI6VinZLYdErMycl27xj8-5Rf0K9-Ci6f1LwuoapZBT8uvnXZ4GMM2OsxZA5hrRnoH656y1VnrnrDVbMcEttQzGb3guFv9T-pb-6UfR0</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>Martínez-Sifuentes, Aldo Rafael</creator><creator>Villanueva-Díaz, José</creator><creator>Correa-Díaz, Arián</creator><creator>Estrada-Ávalos, Juan</creator><creator>Trucíos-Caciano, Ramón</creator><creator>Estrada-Arellano, Josué Raymundo</creator><creator>Cardoza-Martínez, Gabriel Fernando</creator><creator>Garza-Martínez, Miguel Ángel</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M0K</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>SOI</scope></search><sort><creationdate>20220401</creationdate><title>Dendroclimatic reconstruction of precipitation and temperature for the Mayo River basin in northwestern Mexico</title><author>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</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-9a2ffb7b4ead1e9357acef05835b8634971c409d53b0d8196df7a8891d98e7d93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Agriculture</topic><topic>Biomedical and Life Sciences</topic><topic>Climate</topic><topic>Climate variability</topic><topic>Coniferous trees</topic><topic>Data collection</topic><topic>Dendrochronology</topic><topic>El Nino</topic><topic>Evapotranspiration</topic><topic>Forestry</topic><topic>Hydrologic data</topic><topic>Life Sciences</topic><topic>Original Article</topic><topic>Plant Anatomy/Development</topic><topic>Plant Pathology</topic><topic>Plant Physiology</topic><topic>Plant Sciences</topic><topic>Precipitation</topic><topic>Reconstruction</topic><topic>River basins</topic><topic>Rivers</topic><topic>Southern Oscillation</topic><topic>Spectral analysis</topic><topic>Spectrum analysis</topic><topic>Stream discharge</topic><topic>Stream flow</topic><topic>Time series</topic><topic>Tree Rings</topic><topic>Variability</topic><topic>Water availability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Martínez-Sifuentes, Aldo Rafael</creatorcontrib><creatorcontrib>Villanueva-Díaz, José</creatorcontrib><creatorcontrib>Correa-Díaz, Arián</creatorcontrib><creatorcontrib>Estrada-Ávalos, Juan</creatorcontrib><creatorcontrib>Trucíos-Caciano, Ramón</creatorcontrib><creatorcontrib>Estrada-Arellano, Josué Raymundo</creatorcontrib><creatorcontrib>Cardoza-Martínez, Gabriel Fernando</creatorcontrib><creatorcontrib>Garza-Martínez, Miguel Ángel</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Biological Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environment Abstracts</collection><jtitle>Trees (Berlin, West)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Martínez-Sifuentes, Aldo Rafael</au><au>Villanueva-Díaz, José</au><au>Correa-Díaz, Arián</au><au>Estrada-Ávalos, Juan</au><au>Trucíos-Caciano, Ramón</au><au>Estrada-Arellano, Josué Raymundo</au><au>Cardoza-Martínez, Gabriel Fernando</au><au>Garza-Martínez, Miguel Ángel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dendroclimatic reconstruction of precipitation and temperature for the Mayo River basin in northwestern Mexico</atitle><jtitle>Trees (Berlin, West)</jtitle><stitle>Trees</stitle><date>2022-04-01</date><risdate>2022</risdate><volume>36</volume><issue>2</issue><spage>835</spage><epage>847</epage><pages>835-847</pages><issn>0931-1890</issn><eissn>1432-2285</eissn><abstract>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
< 0.05) decrease in precipitation (0.0118 mm year
−1
) and an increase in temperature (0.0668 °C year
−1
) for the last 270 years. The seasonal precipitation frequencies were associated with the El Niño Southern Oscillation phenomenon. The association with the Standardized Evapotranspiration–Precipitation Index was significant for the seasonal period October–May (
r
= 0.74,
p
< 0.01). We were able to validate the use of assimilated climatic information to generate climatic reconstruction of precipitation and temperature allowing us to determine the frequency of extreme hydroclimatic events that have affected water availability in this important agricultural region of Mexico.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00468-021-02253-1</doi><tpages>13</tpages></addata></record> |
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| 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 |
| title | Dendroclimatic reconstruction of precipitation and temperature for the Mayo River basin in northwestern Mexico |
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