Response of grassland ecosystem to monsoonal precipitation variability during the Mid-Late Holocene: Inferences based on molecular isotopic records from Banni grassland, western India
Banni, located in the arid western India, is one of the largest tropical grasslands of the Asian continent. The net primary production in this grassland ecosystem is currently mediated by precipitation during the Indian summer monsoon (ISM). However, timing of the grassland expansion and its link to...
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| description | Banni, located in the arid western India, is one of the largest tropical grasslands of the Asian continent. The net primary production in this grassland ecosystem is currently mediated by precipitation during the Indian summer monsoon (ISM). However, timing of the grassland expansion and its link to the intensity of monsoonal precipitation remains enigmatic due to the paucity of datasets. The major objective of this study is to understand the changes in monsoonal precipitation and vegetation for the last 4600 cal yr BP using hydrogen and carbon isotopic composition of n-alkanes (δDn-alkane and δ13Cn-alkane) measured from two core sediments (Chachi and Luna) in Banni region. The δ13CC29 and δ13CC31 values for Chachi core sediments vary from -30.9 ‰ to -27.2 ‰ and -34.4 ‰ to -25 ‰ respectively. The δ13Cn-alkane values from the core sediments are converted into %C4 plants based on a binary mixing model using the end-member δ13Cn-alkane values derived from the dominant modern vegetation in the Banni region. The prominent feature of the paleovegetation curve is the marked increase in the δ13Cn-alkane values after 2500 cal yr BP, which suggests proliferation of C4 grasses in this region. Similar changes after 2500 cal yr BP have also been observed in the δDn-alkane values. The δDC29 values are used to calculate δD value of paleoprecipitation that varied from 10 ‰ to -60.2 ‰. A significant increase in the δD values of paleoprecipitation (ca. 25 ‰) indicates a weakened ISM precipitation after ca. 2500 cal yr BP. The regional aridification and frequent fire events may have helped the expansion of C4 plant dominated grassland ecosystem in Banni region. Correlation between paleoclimatic records suggests that the southward migration of intertropical convergence zone and more frequent warm phases of El-Nino Southern Oscillation have triggered the weakening of monsoonal precipitation in the tropical region. |
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The net primary production in this grassland ecosystem is currently mediated by precipitation during the Indian summer monsoon (ISM). However, timing of the grassland expansion and its link to the intensity of monsoonal precipitation remains enigmatic due to the paucity of datasets. The major objective of this study is to understand the changes in monsoonal precipitation and vegetation for the last 4600 cal yr BP using hydrogen and carbon isotopic composition of n-alkanes (δDn-alkane and δ13Cn-alkane) measured from two core sediments (Chachi and Luna) in Banni region. The δ13CC29 and δ13CC31 values for Chachi core sediments vary from -30.9 ‰ to -27.2 ‰ and -34.4 ‰ to -25 ‰ respectively. The δ13Cn-alkane values from the core sediments are converted into %C4 plants based on a binary mixing model using the end-member δ13Cn-alkane values derived from the dominant modern vegetation in the Banni region. The prominent feature of the paleovegetation curve is the marked increase in the δ13Cn-alkane values after 2500 cal yr BP, which suggests proliferation of C4 grasses in this region. Similar changes after 2500 cal yr BP have also been observed in the δDn-alkane values. The δDC29 values are used to calculate δD value of paleoprecipitation that varied from 10 ‰ to -60.2 ‰. A significant increase in the δD values of paleoprecipitation (ca. 25 ‰) indicates a weakened ISM precipitation after ca. 2500 cal yr BP. The regional aridification and frequent fire events may have helped the expansion of C4 plant dominated grassland ecosystem in Banni region. Correlation between paleoclimatic records suggests that the southward migration of intertropical convergence zone and more frequent warm phases of El-Nino Southern Oscillation have triggered the weakening of monsoonal precipitation in the tropical region.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0212743</identifier><identifier>PMID: 30995235</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Alkanes ; Analysis ; Aridity ; Biodiversity ; Biology and Life Sciences ; Carbon ; Carbon Isotopes - analysis ; Climate change ; Cyclonic Storms ; Earth Sciences ; Ecology and Environmental Sciences ; Ecosystems ; El Nino ; El Nino-Southern Oscillation ; Environmental aspects ; Environmental changes ; Grasses ; Grassland ; Grasslands ; Holocene ; Holocene paleogeography ; Hydrogen ; Hydrology ; India ; Intertropical convergence zone ; Isotope composition ; Migration ; Monsoons ; Paleoprecipitation ; Paleovegetation ; People and Places ; Poaceae - growth & development ; Precipitation ; Precipitation (Meteorology) ; Precipitation variability ; Primary production ; Science education ; Seasons ; Sediments ; Sediments (Geology) ; Southern Oscillation ; Summer ; Summer monsoon ; Tropical environment ; Tropical environments ; Vegetation ; Wetlands ; Wind</subject><ispartof>PloS one, 2019-04, Vol.14 (4), p.e0212743-e0212743</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Basu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 Basu et al 2019 Basu et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a715t-a5911e7a8e76e7fbc016704c6d11a9f3c700f2051410575873ca5e02ed2c9dac3</citedby><cites>FETCH-LOGICAL-a715t-a5911e7a8e76e7fbc016704c6d11a9f3c700f2051410575873ca5e02ed2c9dac3</cites><orcidid>0000-0002-4279-7842 ; 0000-0002-6964-5961</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469751/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469751/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30995235$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Hilton, Robert</contributor><creatorcontrib>Basu, Sayak</creatorcontrib><creatorcontrib>Sanyal, Prasanta</creatorcontrib><creatorcontrib>Pillai, Anusree A S</creatorcontrib><creatorcontrib>Ambili, Anoop</creatorcontrib><title>Response of grassland ecosystem to monsoonal precipitation variability during the Mid-Late Holocene: Inferences based on molecular isotopic records from Banni grassland, western India</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Banni, located in the arid western India, is one of the largest tropical grasslands of the Asian continent. The net primary production in this grassland ecosystem is currently mediated by precipitation during the Indian summer monsoon (ISM). However, timing of the grassland expansion and its link to the intensity of monsoonal precipitation remains enigmatic due to the paucity of datasets. The major objective of this study is to understand the changes in monsoonal precipitation and vegetation for the last 4600 cal yr BP using hydrogen and carbon isotopic composition of n-alkanes (δDn-alkane and δ13Cn-alkane) measured from two core sediments (Chachi and Luna) in Banni region. The δ13CC29 and δ13CC31 values for Chachi core sediments vary from -30.9 ‰ to -27.2 ‰ and -34.4 ‰ to -25 ‰ respectively. The δ13Cn-alkane values from the core sediments are converted into %C4 plants based on a binary mixing model using the end-member δ13Cn-alkane values derived from the dominant modern vegetation in the Banni region. The prominent feature of the paleovegetation curve is the marked increase in the δ13Cn-alkane values after 2500 cal yr BP, which suggests proliferation of C4 grasses in this region. Similar changes after 2500 cal yr BP have also been observed in the δDn-alkane values. The δDC29 values are used to calculate δD value of paleoprecipitation that varied from 10 ‰ to -60.2 ‰. A significant increase in the δD values of paleoprecipitation (ca. 25 ‰) indicates a weakened ISM precipitation after ca. 2500 cal yr BP. The regional aridification and frequent fire events may have helped the expansion of C4 plant dominated grassland ecosystem in Banni region. Correlation between paleoclimatic records suggests that the southward migration of intertropical convergence zone and more frequent warm phases of El-Nino Southern Oscillation have triggered the weakening of monsoonal precipitation in the tropical region.</description><subject>Alkanes</subject><subject>Analysis</subject><subject>Aridity</subject><subject>Biodiversity</subject><subject>Biology and Life Sciences</subject><subject>Carbon</subject><subject>Carbon Isotopes - analysis</subject><subject>Climate change</subject><subject>Cyclonic Storms</subject><subject>Earth Sciences</subject><subject>Ecology and Environmental Sciences</subject><subject>Ecosystems</subject><subject>El Nino</subject><subject>El Nino-Southern Oscillation</subject><subject>Environmental aspects</subject><subject>Environmental changes</subject><subject>Grasses</subject><subject>Grassland</subject><subject>Grasslands</subject><subject>Holocene</subject><subject>Holocene paleogeography</subject><subject>Hydrogen</subject><subject>Hydrology</subject><subject>India</subject><subject>Intertropical convergence zone</subject><subject>Isotope composition</subject><subject>Migration</subject><subject>Monsoons</subject><subject>Paleoprecipitation</subject><subject>Paleovegetation</subject><subject>People and Places</subject><subject>Poaceae - growth & development</subject><subject>Precipitation</subject><subject>Precipitation (Meteorology)</subject><subject>Precipitation variability</subject><subject>Primary production</subject><subject>Science education</subject><subject>Seasons</subject><subject>Sediments</subject><subject>Sediments (Geology)</subject><subject>Southern Oscillation</subject><subject>Summer</subject><subject>Summer monsoon</subject><subject>Tropical environment</subject><subject>Tropical environments</subject><subject>Vegetation</subject><subject>Wetlands</subject><subject>Wind</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk9tu1DAQhiMEoqXwBggsVUIgsYsP6zjhAqlUQFcqqlQOt9bEmey6SuzFdgp9Ml4Pb7stXdQL5ItY9jf_zPzxFMVTRqdMKPbmzI_BQT9deYdTyhlXM3Gv2GW14JOSU3H_1n6neBTjGaVSVGX5sNgRtK4lF3K3-H2KMStEJL4jiwAx9uBagsbHi5hwIMmTId97n3ORVUBjVzZBst6RcwgWGtvbdEHaMVi3IGmJ5LNtJ8eQkBz53ht0-JbMXYcBncFIGojYkhw9-B7N2EMgNvrkV9aQrO5DG0kX_EDeg3P2b0mvyU_MBQWXxVoLj4sHHfQRn2y-e8W3jx--Hh5Njk8-zQ8PjiegmEwTkDVjqKBCVaLqGkNZqejMlC1jUHfCKEo7TiWbMSqVrJQwIJFybLmpWzBir3h-pbvqfdQbz6PmnNFaVWVFMzG_IloPZ3oV7ADhQnuw-vLAh4WGkKzpUfNGGsWQUuA4o1XZ1IaVDa8aU3UKO8xa7zbZxmbANpuXAvRbots3zi71wp_rclbWSrIs8HIjEPyPMRumBxsN9tlB9ONl3UxwoVSd0f1_0Lu721ALyA1Y1_mc16xF9YGsuMpdlDJT0zuovFocrMkPtLP5fCvg1VZAZhL-SgsYY9TzL6f_z55832Zf3GKXCH1aRt-P6_cat8HZFWiCjzFgd2Myo3o9X9du6PV86c185bBnt3_QTdD1QIk_OE8kYQ</recordid><startdate>20190417</startdate><enddate>20190417</enddate><creator>Basu, Sayak</creator><creator>Sanyal, Prasanta</creator><creator>Pillai, Anusree A S</creator><creator>Ambili, Anoop</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4279-7842</orcidid><orcidid>https://orcid.org/0000-0002-6964-5961</orcidid></search><sort><creationdate>20190417</creationdate><title>Response of grassland ecosystem to monsoonal precipitation variability during the Mid-Late Holocene: Inferences based on molecular isotopic records from Banni grassland, western India</title><author>Basu, Sayak ; Sanyal, Prasanta ; Pillai, Anusree A S ; Ambili, Anoop</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a715t-a5911e7a8e76e7fbc016704c6d11a9f3c700f2051410575873ca5e02ed2c9dac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Alkanes</topic><topic>Analysis</topic><topic>Aridity</topic><topic>Biodiversity</topic><topic>Biology and Life Sciences</topic><topic>Carbon</topic><topic>Carbon Isotopes - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Basu, Sayak</au><au>Sanyal, Prasanta</au><au>Pillai, Anusree A S</au><au>Ambili, Anoop</au><au>Hilton, Robert</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Response of grassland ecosystem to monsoonal precipitation variability during the Mid-Late Holocene: Inferences based on molecular isotopic records from Banni grassland, western India</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-04-17</date><risdate>2019</risdate><volume>14</volume><issue>4</issue><spage>e0212743</spage><epage>e0212743</epage><pages>e0212743-e0212743</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Banni, located in the arid western India, is one of the largest tropical grasslands of the Asian continent. The net primary production in this grassland ecosystem is currently mediated by precipitation during the Indian summer monsoon (ISM). However, timing of the grassland expansion and its link to the intensity of monsoonal precipitation remains enigmatic due to the paucity of datasets. The major objective of this study is to understand the changes in monsoonal precipitation and vegetation for the last 4600 cal yr BP using hydrogen and carbon isotopic composition of n-alkanes (δDn-alkane and δ13Cn-alkane) measured from two core sediments (Chachi and Luna) in Banni region. The δ13CC29 and δ13CC31 values for Chachi core sediments vary from -30.9 ‰ to -27.2 ‰ and -34.4 ‰ to -25 ‰ respectively. The δ13Cn-alkane values from the core sediments are converted into %C4 plants based on a binary mixing model using the end-member δ13Cn-alkane values derived from the dominant modern vegetation in the Banni region. The prominent feature of the paleovegetation curve is the marked increase in the δ13Cn-alkane values after 2500 cal yr BP, which suggests proliferation of C4 grasses in this region. Similar changes after 2500 cal yr BP have also been observed in the δDn-alkane values. The δDC29 values are used to calculate δD value of paleoprecipitation that varied from 10 ‰ to -60.2 ‰. A significant increase in the δD values of paleoprecipitation (ca. 25 ‰) indicates a weakened ISM precipitation after ca. 2500 cal yr BP. The regional aridification and frequent fire events may have helped the expansion of C4 plant dominated grassland ecosystem in Banni region. Correlation between paleoclimatic records suggests that the southward migration of intertropical convergence zone and more frequent warm phases of El-Nino Southern Oscillation have triggered the weakening of monsoonal precipitation in the tropical region.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30995235</pmid><doi>10.1371/journal.pone.0212743</doi><tpages>e0212743</tpages><orcidid>https://orcid.org/0000-0002-4279-7842</orcidid><orcidid>https://orcid.org/0000-0002-6964-5961</orcidid><oa>free_for_read</oa></addata></record> |
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| recordid | cdi_plos_journals_2210978680 |
| source | Public Library of Science (PLoS) Journals Open Access; MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Alkanes Analysis Aridity Biodiversity Biology and Life Sciences Carbon Carbon Isotopes - analysis Climate change Cyclonic Storms Earth Sciences Ecology and Environmental Sciences Ecosystems El Nino El Nino-Southern Oscillation Environmental aspects Environmental changes Grasses Grassland Grasslands Holocene Holocene paleogeography Hydrogen Hydrology India Intertropical convergence zone Isotope composition Migration Monsoons Paleoprecipitation Paleovegetation People and Places Poaceae - growth & development Precipitation Precipitation (Meteorology) Precipitation variability Primary production Science education Seasons Sediments Sediments (Geology) Southern Oscillation Summer Summer monsoon Tropical environment Tropical environments Vegetation Wetlands Wind |
| title | Response of grassland ecosystem to monsoonal precipitation variability during the Mid-Late Holocene: Inferences based on molecular isotopic records from Banni grassland, western India |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T14%3A55%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Response%20of%20grassland%20ecosystem%20to%20monsoonal%20precipitation%20variability%20during%20the%20Mid-Late%20Holocene:%20Inferences%20based%20on%20molecular%20isotopic%20records%20from%20Banni%20grassland,%20western%20India&rft.jtitle=PloS%20one&rft.au=Basu,%20Sayak&rft.date=2019-04-17&rft.volume=14&rft.issue=4&rft.spage=e0212743&rft.epage=e0212743&rft.pages=e0212743-e0212743&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0212743&rft_dat=%3Cgale_plos_%3EA582708665%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2210978680&rft_id=info:pmid/30995235&rft_galeid=A582708665&rft_doaj_id=oai_doaj_org_article_2b5c71e00a2e4086b9c16b28bc8f7efe&rfr_iscdi=true |