2019
DOI: 10.1016/j.catena.2019.104117
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Inverse relationship between south-west and north-east monsoon during the late Holocene: Geochemical and sedimentological record from Ennamangalam Lake, southern India

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Cited by 24 publications
(18 citation statements)
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“…This record gives us the opportunity to develop the most comprehensive understanding of fluctuations in vegetation and landscape changes in the vicinity of the capital of Colombo to date. Furthermore, given that significant and unequivocal variability in IOM impact on environments located away from the core monsoon region has been demonstrated (Premathilake and Risberg, 2003; Prasad et al, 2014; Mishra et al, 2019), this dataset enables us to develop a more spatially nuanced understanding of IOM impacts in South Asia.…”
Section: Introductionmentioning
confidence: 99%
“…This record gives us the opportunity to develop the most comprehensive understanding of fluctuations in vegetation and landscape changes in the vicinity of the capital of Colombo to date. Furthermore, given that significant and unequivocal variability in IOM impact on environments located away from the core monsoon region has been demonstrated (Premathilake and Risberg, 2003; Prasad et al, 2014; Mishra et al, 2019), this dataset enables us to develop a more spatially nuanced understanding of IOM impacts in South Asia.…”
Section: Introductionmentioning
confidence: 99%
“…Some only cover the Late Holocene, while others show no clear trends. Nevertheless, in general, the available records show an overall increasing winter monsoon rainfall towards the present (Ranasinghe et al, 2013b;Böll et al, 2014;Mishra et al, 2019; see Figure 6). Our evidence from Sri Lanka allows us to contribute to existing work by isolating the impacts of the SWM and NEM in different sedimentary archives, supporting a decline in SWM precipitation and increase in NEM precipitation over the past 6,000 years in South Asia (Figure 6).…”
Section: Mid-late Holocene Human-environment Interactions In Sri Lankamentioning
confidence: 89%
“…Although EMMA is a very effective grain-size research tool [39,[53][54][55][56], through the result, the end-member model cannot effectively extract the grain size components affected by a single geological action (Figure 4). The grain size of the lake sediments was affected by the combined effects of multiple external stresses, or the strength of the same force has large fluctuations.…”
Section: Discussionmentioning
confidence: 99%