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  Holocene climate forcings and lacustrine regime shifts in the Indian summer monsoon realm

Prasad, S., Marwan, N., Eroglu, D., Goswami, B., Mishra, P. K., Gaye, B., Anoop, A., Basavaiah, N., Stebich, M., Jehangir, A. (2020): Holocene climate forcings and lacustrine regime shifts in the Indian summer monsoon realm. - Earth Surface Processes and Landforms, 45, 15, 3842-3853.
https://doi.org/10.1002/esp.5004

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 Creators:
Prasad, Sushma1, Author
Marwan, Norbert2, Author              
Eroglu, Deniz1, Author
Goswami, Bedartha2, Author              
Mishra, Praveen K.1, Author
Gaye, Birgit1, Author
Anoop, A.1, Author
Basavaiah, N.1, Author
Stebich, Martina1, Author
Jehangir, Arshid1, Author
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1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

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 Abstract: Extreme climate events have been identified both in meteorological and long‐term proxy records from the Indian summer monsoon (ISM) realm. However, the potential of palaeoclimate data for understanding mechanisms triggering climate extremes over long time scales has not been fully exploited. A distinction between proxies indicating climate change, environment, and ecosystem shift is crucial for enabling a comparison with forcing mechanisms (e.g. El‐Niño Southern Oscillation). In this study we decouple these factors using data analysis techniques [multiplex recurrence network (MRN) and principal component analyses (PCA)] on multiproxy data from two lakes located in different climate regions – Lonar Lake (ISM dominated) and the high‐altitude Tso Moriri Lake (ISM and westerlies influenced). Our results indicate that (i) MRN analysis, an indicator of changing environmental conditions, is associated with droughts in regions with a single climate driver but provides ambiguous results in regions with multiple climate/environmental drivers; (ii) the lacustrine ecosystem was ‘less sensitive’ to forcings during the early Holocene wetter periods; (iii) archives in climate zones with a single climate driver were most sensitive to regime shifts; (iv) data analyses are successful in identifying the timing of onset of climate change, and distinguishing between extrinsic and intrinsic (lacustrine) regime shifts by comparison with forcing mechanisms. Our results enable development of conceptual models to explain links between forcings and regional climate change that can be tested in climate models to provide an improved understanding of the ISM dynamics and their impact on ecosystems. © 2020 John Wiley & Sons, Ltd.

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 Dates: 2020-10-012020-12-01
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1002/esp.5004
PIKDOMAIN: RD4 - Complexity Science
MDB-ID: yes - 3073
Research topic keyword: Nonlinear Dynamics
Model / method: Nonlinear Data Analysis
Regional keyword: Asia
Research topic keyword: Monsoon
Research topic keyword: Tipping Elements
Research topic keyword: Paleoclimate
Organisational keyword: RD4 - Complexity Science
Working Group: Development of advanced time series analysis techniques
 Degree: -

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Title: Earth Surface Processes and Landforms
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 45 (15) Sequence Number: - Start / End Page: 3842 - 3853 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals103
Publisher: Wiley