Reconstruction of hydrological changes based on tree-ring data of the Haba River, northwestern China

Reconstructing the hydrological change based on dendrohydrological data has important implications for understanding the dynamic distribution and evolution pattern of a given river. The widespread, long-living coniferous forests on the Altay Mountains provide a good example for carrying out the dend...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of arid land 2018-02, Vol.10 (1), p.53-67
Hauptverfasser: Zhang, Tongwen, Yuan, Yujiang, Chen, Feng, Yu, Shulong, Zhang, Ruibo, Qin, Li, Jiang, Shengxia
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 67
container_issue 1
container_start_page 53
container_title Journal of arid land
container_volume 10
creator Zhang, Tongwen
Yuan, Yujiang
Chen, Feng
Yu, Shulong
Zhang, Ruibo
Qin, Li
Jiang, Shengxia
description Reconstructing the hydrological change based on dendrohydrological data has important implications for understanding the dynamic distribution and evolution pattern of a given river. The widespread, long-living coniferous forests on the Altay Mountains provide a good example for carrying out the dendrohydrological studies. In this study, a regional composite tree-ring width chronology developed by Larix sibirica Ledeb. and Picea obovata Ledeb. was used to reconstruct a 301-year annual(from preceding July to succeeding June) streamflow for the Haba River, which originates in the southern Altay Mountains, Xinjiang, China. Results indicated that the reconstructed streamflow series and the observations were fitting well, and explained 47.5% of the variation in the observed streamflow of 1957–2008. Moreover, floods and droughts in 1949–2000 were precisely captured by the streamflow reconstruction. Based on the frequencies of the wettest/driest years and decades, we identified the 19 th century as the century with the largest occurrence of hydrological fluctuations for the last 300 years. After applying a 21-year moving average, we found five wet(1724–1758, 1780–1810, 1822–1853, 1931–1967, and 1986–2004) and four dry(1759–1779, 1811–1821, 1854–1930, and 1968–1985) periods in the streamflow reconstruction. Furthermore, four periods(1770–1796, 1816–1836, 1884–1949, and 1973–1997) identified by the streamflow series had an obvious increasing trend. The increasing trend of streamflow since the 1970s was the biggest in the last 300 years and coincided with the recent warming-wetting trend in northwestern China. A significant correlation between streamflow and precipitation in the Altay Mountains indicated that the streamflow reconstruction contained not only local, but also broad-scale, hydro-climatic signals. The 24-year, 12-year, and 2.2–4.5-year cycles of the reconstruction revealed that the streamflow variability of the Haba River may be influenced by solar activity and the atmosphere–ocean system.
doi_str_mv 10.1007/s40333-017-0034-2
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1984812525</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cqvip_id>71727588504849564849484853</cqvip_id><sourcerecordid>1984812525</sourcerecordid><originalsourceid>FETCH-LOGICAL-c403t-fd9c96e936e9c7471492ec4ded54075c1c5a31cfb2a0dde56f543254accf75953</originalsourceid><addsrcrecordid>eNp9UU1LAzEQDaJgqf0B3gJejeZzszlKUSsUhKLnkCbZj1KTNtkq_fdmqYgnB2bm8t68mTcAXBN8RzCW95ljxhjCRCKMGUf0DEwoURxJWbNzMCGV5KiSlbwEs5w3uERVc8XJBLiVtzHkIR3s0McAYwO7o0txG9vemi20nQmtz3BtsnewAIbkPUp9aKEzgxnxQ-fhwqwNXPWfPt3CENPQffk8-BTgvOuDuQIXjdlmP_vpU_D-9Pg2X6Dl6_PL_GGJbDlgQI1TVlVesZJWckm4ot5y553gWApLrDCM2GZNDXbOi6oRnFHBjbWNFEqwKbg5zd2luD-UDfQmHlIokpqomteECjqiyAllU8w5-UbvUv9h0lETrEc_9clPXfzUo5-aFg49cfJuvN2nP5P_IbEfoS6Gdl94v0qSSCpFXQvMyyNENdaStWDsG9v3h2A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1984812525</pqid></control><display><type>article</type><title>Reconstruction of hydrological changes based on tree-ring data of the Haba River, northwestern China</title><source>SpringerLink_现刊</source><source>Alma/SFX Local Collection</source><creator>Zhang, Tongwen ; Yuan, Yujiang ; Chen, Feng ; Yu, Shulong ; Zhang, Ruibo ; Qin, Li ; Jiang, Shengxia</creator><creatorcontrib>Zhang, Tongwen ; Yuan, Yujiang ; Chen, Feng ; Yu, Shulong ; Zhang, Ruibo ; Qin, Li ; Jiang, Shengxia</creatorcontrib><description>Reconstructing the hydrological change based on dendrohydrological data has important implications for understanding the dynamic distribution and evolution pattern of a given river. The widespread, long-living coniferous forests on the Altay Mountains provide a good example for carrying out the dendrohydrological studies. In this study, a regional composite tree-ring width chronology developed by Larix sibirica Ledeb. and Picea obovata Ledeb. was used to reconstruct a 301-year annual(from preceding July to succeeding June) streamflow for the Haba River, which originates in the southern Altay Mountains, Xinjiang, China. Results indicated that the reconstructed streamflow series and the observations were fitting well, and explained 47.5% of the variation in the observed streamflow of 1957–2008. Moreover, floods and droughts in 1949–2000 were precisely captured by the streamflow reconstruction. Based on the frequencies of the wettest/driest years and decades, we identified the 19 th century as the century with the largest occurrence of hydrological fluctuations for the last 300 years. After applying a 21-year moving average, we found five wet(1724–1758, 1780–1810, 1822–1853, 1931–1967, and 1986–2004) and four dry(1759–1779, 1811–1821, 1854–1930, and 1968–1985) periods in the streamflow reconstruction. Furthermore, four periods(1770–1796, 1816–1836, 1884–1949, and 1973–1997) identified by the streamflow series had an obvious increasing trend. The increasing trend of streamflow since the 1970s was the biggest in the last 300 years and coincided with the recent warming-wetting trend in northwestern China. A significant correlation between streamflow and precipitation in the Altay Mountains indicated that the streamflow reconstruction contained not only local, but also broad-scale, hydro-climatic signals. The 24-year, 12-year, and 2.2–4.5-year cycles of the reconstruction revealed that the streamflow variability of the Haba River may be influenced by solar activity and the atmosphere–ocean system.</description><identifier>ISSN: 1674-6767</identifier><identifier>EISSN: 2194-7783</identifier><identifier>DOI: 10.1007/s40333-017-0034-2</identifier><language>eng</language><publisher>Heidelberg: Science Press</publisher><subject>Chronology ; Coniferous forests ; Drought ; Earth and Environmental Science ; Forests ; Geography ; Hydrologic data ; Hydrology ; Identification ; Mountains ; Physical Geography ; Plant Ecology ; Precipitation ; Rainfall ; Reconstruction ; Regional development ; Rivers ; Solar activity ; Stream discharge ; Stream flow ; Sustainable Development ; Temperature (air-sea) ; Trees ; Variation</subject><ispartof>Journal of arid land, 2018-02, Vol.10 (1), p.53-67</ispartof><rights>Xinjiang Institute of Ecology and Geography, the Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>Copyright Springer Science &amp; Business Media 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c403t-fd9c96e936e9c7471492ec4ded54075c1c5a31cfb2a0dde56f543254accf75953</citedby><cites>FETCH-LOGICAL-c403t-fd9c96e936e9c7471492ec4ded54075c1c5a31cfb2a0dde56f543254accf75953</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/71019X/71019X.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s40333-017-0034-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s40333-017-0034-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Zhang, Tongwen</creatorcontrib><creatorcontrib>Yuan, Yujiang</creatorcontrib><creatorcontrib>Chen, Feng</creatorcontrib><creatorcontrib>Yu, Shulong</creatorcontrib><creatorcontrib>Zhang, Ruibo</creatorcontrib><creatorcontrib>Qin, Li</creatorcontrib><creatorcontrib>Jiang, Shengxia</creatorcontrib><title>Reconstruction of hydrological changes based on tree-ring data of the Haba River, northwestern China</title><title>Journal of arid land</title><addtitle>J. Arid Land</addtitle><addtitle>Journal of Arid Land</addtitle><description>Reconstructing the hydrological change based on dendrohydrological data has important implications for understanding the dynamic distribution and evolution pattern of a given river. The widespread, long-living coniferous forests on the Altay Mountains provide a good example for carrying out the dendrohydrological studies. In this study, a regional composite tree-ring width chronology developed by Larix sibirica Ledeb. and Picea obovata Ledeb. was used to reconstruct a 301-year annual(from preceding July to succeeding June) streamflow for the Haba River, which originates in the southern Altay Mountains, Xinjiang, China. Results indicated that the reconstructed streamflow series and the observations were fitting well, and explained 47.5% of the variation in the observed streamflow of 1957–2008. Moreover, floods and droughts in 1949–2000 were precisely captured by the streamflow reconstruction. Based on the frequencies of the wettest/driest years and decades, we identified the 19 th century as the century with the largest occurrence of hydrological fluctuations for the last 300 years. After applying a 21-year moving average, we found five wet(1724–1758, 1780–1810, 1822–1853, 1931–1967, and 1986–2004) and four dry(1759–1779, 1811–1821, 1854–1930, and 1968–1985) periods in the streamflow reconstruction. Furthermore, four periods(1770–1796, 1816–1836, 1884–1949, and 1973–1997) identified by the streamflow series had an obvious increasing trend. The increasing trend of streamflow since the 1970s was the biggest in the last 300 years and coincided with the recent warming-wetting trend in northwestern China. A significant correlation between streamflow and precipitation in the Altay Mountains indicated that the streamflow reconstruction contained not only local, but also broad-scale, hydro-climatic signals. The 24-year, 12-year, and 2.2–4.5-year cycles of the reconstruction revealed that the streamflow variability of the Haba River may be influenced by solar activity and the atmosphere–ocean system.</description><subject>Chronology</subject><subject>Coniferous forests</subject><subject>Drought</subject><subject>Earth and Environmental Science</subject><subject>Forests</subject><subject>Geography</subject><subject>Hydrologic data</subject><subject>Hydrology</subject><subject>Identification</subject><subject>Mountains</subject><subject>Physical Geography</subject><subject>Plant Ecology</subject><subject>Precipitation</subject><subject>Rainfall</subject><subject>Reconstruction</subject><subject>Regional development</subject><subject>Rivers</subject><subject>Solar activity</subject><subject>Stream discharge</subject><subject>Stream flow</subject><subject>Sustainable Development</subject><subject>Temperature (air-sea)</subject><subject>Trees</subject><subject>Variation</subject><issn>1674-6767</issn><issn>2194-7783</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9UU1LAzEQDaJgqf0B3gJejeZzszlKUSsUhKLnkCbZj1KTNtkq_fdmqYgnB2bm8t68mTcAXBN8RzCW95ljxhjCRCKMGUf0DEwoURxJWbNzMCGV5KiSlbwEs5w3uERVc8XJBLiVtzHkIR3s0McAYwO7o0txG9vemi20nQmtz3BtsnewAIbkPUp9aKEzgxnxQ-fhwqwNXPWfPt3CENPQffk8-BTgvOuDuQIXjdlmP_vpU_D-9Pg2X6Dl6_PL_GGJbDlgQI1TVlVesZJWckm4ot5y553gWApLrDCM2GZNDXbOi6oRnFHBjbWNFEqwKbg5zd2luD-UDfQmHlIokpqomteECjqiyAllU8w5-UbvUv9h0lETrEc_9clPXfzUo5-aFg49cfJuvN2nP5P_IbEfoS6Gdl94v0qSSCpFXQvMyyNENdaStWDsG9v3h2A</recordid><startdate>20180201</startdate><enddate>20180201</enddate><creator>Zhang, Tongwen</creator><creator>Yuan, Yujiang</creator><creator>Chen, Feng</creator><creator>Yu, Shulong</creator><creator>Zhang, Ruibo</creator><creator>Qin, Li</creator><creator>Jiang, Shengxia</creator><general>Science Press</general><general>Springer Nature B.V</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope></search><sort><creationdate>20180201</creationdate><title>Reconstruction of hydrological changes based on tree-ring data of the Haba River, northwestern China</title><author>Zhang, Tongwen ; Yuan, Yujiang ; Chen, Feng ; Yu, Shulong ; Zhang, Ruibo ; Qin, Li ; Jiang, Shengxia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c403t-fd9c96e936e9c7471492ec4ded54075c1c5a31cfb2a0dde56f543254accf75953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Chronology</topic><topic>Coniferous forests</topic><topic>Drought</topic><topic>Earth and Environmental Science</topic><topic>Forests</topic><topic>Geography</topic><topic>Hydrologic data</topic><topic>Hydrology</topic><topic>Identification</topic><topic>Mountains</topic><topic>Physical Geography</topic><topic>Plant Ecology</topic><topic>Precipitation</topic><topic>Rainfall</topic><topic>Reconstruction</topic><topic>Regional development</topic><topic>Rivers</topic><topic>Solar activity</topic><topic>Stream discharge</topic><topic>Stream flow</topic><topic>Sustainable Development</topic><topic>Temperature (air-sea)</topic><topic>Trees</topic><topic>Variation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Tongwen</creatorcontrib><creatorcontrib>Yuan, Yujiang</creatorcontrib><creatorcontrib>Chen, Feng</creatorcontrib><creatorcontrib>Yu, Shulong</creatorcontrib><creatorcontrib>Zhang, Ruibo</creatorcontrib><creatorcontrib>Qin, Li</creatorcontrib><creatorcontrib>Jiang, Shengxia</creatorcontrib><collection>维普_期刊</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>维普中文期刊数据库</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><jtitle>Journal of arid land</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Tongwen</au><au>Yuan, Yujiang</au><au>Chen, Feng</au><au>Yu, Shulong</au><au>Zhang, Ruibo</au><au>Qin, Li</au><au>Jiang, Shengxia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reconstruction of hydrological changes based on tree-ring data of the Haba River, northwestern China</atitle><jtitle>Journal of arid land</jtitle><stitle>J. Arid Land</stitle><addtitle>Journal of Arid Land</addtitle><date>2018-02-01</date><risdate>2018</risdate><volume>10</volume><issue>1</issue><spage>53</spage><epage>67</epage><pages>53-67</pages><issn>1674-6767</issn><eissn>2194-7783</eissn><abstract>Reconstructing the hydrological change based on dendrohydrological data has important implications for understanding the dynamic distribution and evolution pattern of a given river. The widespread, long-living coniferous forests on the Altay Mountains provide a good example for carrying out the dendrohydrological studies. In this study, a regional composite tree-ring width chronology developed by Larix sibirica Ledeb. and Picea obovata Ledeb. was used to reconstruct a 301-year annual(from preceding July to succeeding June) streamflow for the Haba River, which originates in the southern Altay Mountains, Xinjiang, China. Results indicated that the reconstructed streamflow series and the observations were fitting well, and explained 47.5% of the variation in the observed streamflow of 1957–2008. Moreover, floods and droughts in 1949–2000 were precisely captured by the streamflow reconstruction. Based on the frequencies of the wettest/driest years and decades, we identified the 19 th century as the century with the largest occurrence of hydrological fluctuations for the last 300 years. After applying a 21-year moving average, we found five wet(1724–1758, 1780–1810, 1822–1853, 1931–1967, and 1986–2004) and four dry(1759–1779, 1811–1821, 1854–1930, and 1968–1985) periods in the streamflow reconstruction. Furthermore, four periods(1770–1796, 1816–1836, 1884–1949, and 1973–1997) identified by the streamflow series had an obvious increasing trend. The increasing trend of streamflow since the 1970s was the biggest in the last 300 years and coincided with the recent warming-wetting trend in northwestern China. A significant correlation between streamflow and precipitation in the Altay Mountains indicated that the streamflow reconstruction contained not only local, but also broad-scale, hydro-climatic signals. The 24-year, 12-year, and 2.2–4.5-year cycles of the reconstruction revealed that the streamflow variability of the Haba River may be influenced by solar activity and the atmosphere–ocean system.</abstract><cop>Heidelberg</cop><pub>Science Press</pub><doi>10.1007/s40333-017-0034-2</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1674-6767
ispartof Journal of arid land, 2018-02, Vol.10 (1), p.53-67
issn 1674-6767
2194-7783
language eng
recordid cdi_proquest_journals_1984812525
source SpringerLink_现刊; Alma/SFX Local Collection
subjects Chronology
Coniferous forests
Drought
Earth and Environmental Science
Forests
Geography
Hydrologic data
Hydrology
Identification
Mountains
Physical Geography
Plant Ecology
Precipitation
Rainfall
Reconstruction
Regional development
Rivers
Solar activity
Stream discharge
Stream flow
Sustainable Development
Temperature (air-sea)
Trees
Variation
title Reconstruction of hydrological changes based on tree-ring data of the Haba River, northwestern China
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T08%3A29%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Reconstruction%20of%20hydrological%20changes%20based%20on%20tree-ring%20data%20of%20the%20Haba%20River,%20northwestern%20China&rft.jtitle=Journal%20of%20arid%20land&rft.au=Zhang,%20Tongwen&rft.date=2018-02-01&rft.volume=10&rft.issue=1&rft.spage=53&rft.epage=67&rft.pages=53-67&rft.issn=1674-6767&rft.eissn=2194-7783&rft_id=info:doi/10.1007/s40333-017-0034-2&rft_dat=%3Cproquest_cross%3E1984812525%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1984812525&rft_id=info:pmid/&rft_cqvip_id=71727588504849564849484853&rfr_iscdi=true