干旱区生态环境知识资源中心(Arid): Response of grassland ecosystem to monsoonal precipitation variability during the Mid-Late Holocene: Inferences based on molecular isotopic records from Banni grassland, western India

Arid

DOI	10.1371/journal.pone.0212743
	Response of grassland ecosystem to monsoonal precipitation variability during the Mid-Late Holocene: Inferences based on molecular isotopic records from Banni grassland, western India
	Basu, Sayak 1,4; Sanyal, Prasanta 1; Pillai, Anusree 2,3; Ambili, Anoop 1,4
通讯作者	Basu, Sayak
来源期刊	PLOS ONE
ISSN	1932-6203
出版年	2019
卷号	14 期号:4
英文摘要	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 (delta Dn-alkane and delta C-13(n-alkane)) measured from two core sediments (Chachi and Luna) in Banni region. The delta C-13(C29) and delta C-13(C31) values for Chachi core sediments vary from -30.9 parts per thousand to -27.2 parts per thousand and -34.4 parts per thousand to -25 parts per thousand respectively. The delta C-13(n)-alkane values from the core sediments are converted into %C-4 plants based on a binary mixing model using the end-member delta C-13(n)-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 delta C-13(n-alkane) values after 2500 cal yr BP, which suggests proliferation of C-4 grasses in this region. Similar changes after 2500 cal yr BP have also been observed in the delta C-13(n-alkane) values. The delta D-C29 values are used to calculate delta D value of paleoprecipitation that varied from 10 parts per thousand to -60.2 parts per thousand. A significant increase in the delta D values of paleoprecipitation (ca. 25 parts per thousand) indicates a weakened ISM precipitation after ca. 2500 cal yr BP. The regional aridification and frequent fire events may have helped the expansion of C-4 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.
类型	Article
语种	英语
国家	India
开放获取类型	Green Published, Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:000465010000005
WOS关键词	C-14 RESERVOIR AGE ; N-ALKANES ; ORGANIC-MATTER ; LATE PLEISTOCENE ; STABLE-ISOTOPES ; DELTA-D ; NORTHERN-HEMISPHERE ; VEGETATION CHANGE ; THAR DESERT ; LONAR LAKE
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218099
作者单位	1.Indian Inst Sci Educ & Res Kolkata, Mohanpur, W Bengal, India; 2.NCBS, GKVK Campus, Bangalore, Karnataka, India; 3.Manipal Inst Higher Educ, Manipal, Karnataka, India; 4.Indian Inst Sci Educ & Res Mohali, Mohali, Punjab, India
推荐引用方式 GB/T 7714	Basu, Sayak,Sanyal, Prasanta,Pillai, Anusree,et al. Response of grassland ecosystem to monsoonal precipitation variability during the Mid-Late Holocene: Inferences based on molecular isotopic records from Banni grassland, western India[J],2019,14(4).
APA	Basu, Sayak,Sanyal, Prasanta,Pillai, Anusree,&Ambili, Anoop.(2019).Response of grassland ecosystem to monsoonal precipitation variability during the Mid-Late Holocene: Inferences based on molecular isotopic records from Banni grassland, western India.PLOS ONE,14(4).
MLA	Basu, Sayak,et al."Response of grassland ecosystem to monsoonal precipitation variability during the Mid-Late Holocene: Inferences based on molecular isotopic records from Banni grassland, western India".PLOS ONE 14.4(2019).