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...
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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. |
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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 & 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 & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & 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> |
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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 |
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