The Early Miocene Paleoclimate of Erzhilansay: Interpretation of Climatic Parameters Using Modern Methods

Studying paleoclimatic conditions across geological epochs is essential for understanding climate evolution and its influence on Earth’s biosphere. Leaf macrofossils serve as a crucial data source for reconstructing ancient climates due to their sensitivity to environmental changes. Advanced analytical methods, such as the Climate Leaf Analysis Multivariate Program (CLAMP) and the coexistence approach (CA), enable precise assessment of past climatic parameters using fossilized leaf remains. The Erzhilansay locality, dated to the early Miocene, represents a remarkable site with exceptionally preserved and diverse plant fossils, making it pivotal for paleoclimatic reconstructions. This study reveals that mean annual temperatures and summer temperatures in the early Miocene were relatively stable over millions of years. In contrast, winters were notably milder, exhibiting warmer and more consistent conditions. Precipitation levels were significantly higher, fostering the development of dense vegetation, unlike the arid environment seen today. These findings underscore the importance of employing integrated methodologies to reconstruct ancient climates and interpret geological-scale climate changes. The study also offers critical insights into climate dynamics, supporting the development of strategies to mitigate current environmental challenges.

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Publication Details

Journal
Sustainability
Published
2024-12-27
DOI
https://doi.org/10.3390/su17010143
Citations
1
Primary Topic
Geology and Paleoclimatology Research
Type
article
Field-Weighted Citation Impact
0.38
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article

The Early Miocene Paleoclimate of Erzhilansay: Interpretation of Climatic Parameters Using Modern Methods

Bolat U. Bayshashov, Саида Нигматова, Айжан Жамангара, Aizhan Zadagali et al.
1 citations
Sustainability
Geology and Paleoclimatology Research
0.38
article

The Early Miocene Paleoclimate of Erzhilansay: Interpretation of Climatic Parameters Using Modern Methods

Bolat U. Bayshashov, Саида Нигматова, Айжан Жамангара, Aizhan Zadagali, Ilnura Madyarova, Kaisar Kashaganov, Arman Seidali, Shahizada Akmagambet
article en
1 citations

Abstract

Studying paleoclimatic conditions across geological epochs is essential for understanding climate evolution and its influence on Earth’s biosphere. Leaf macrofossils serve as a crucial data source for reconstructing ancient climates due to their sensitivity to environmental changes. Advanced analytical methods, such as the Climate Leaf Analysis Multivariate Program (CLAMP) and the coexistence approach (CA), enable precise assessment of past climatic parameters using fossilized leaf remains. The Erzhilansay locality, dated to the early Miocene, represents a remarkable site with exceptionally preserved and diverse plant fossils, making it pivotal for paleoclimatic reconstructions. This study reveals that mean annual temperatures and summer temperatures in the early Miocene were relatively stable over millions of years. In contrast, winters were notably milder, exhibiting warmer and more consistent conditions. Precipitation levels were significantly higher, fostering the development of dense vegetation, unlike the arid environment seen today. These findings underscore the importance of employing integrated methodologies to reconstruct ancient climates and interpret geological-scale climate changes. The study also offers critical insights into climate dynamics, supporting the development of strategies to mitigate current environmental challenges.

SustainabilityVol. 17(1)
L. N. Gumilyov Eurasian National University (KZ), Institute of Plant Biology and Biotechnology (KZ), National Academy of Sciences of the Republic of Kazakhstan (KZ), Astana Medical University (KZ)
Climate action
Openalex Percentile: Top 37%
Geology and Paleoclimatology Research
0.38
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The Early Miocene Paleoclimate of Erzhilansay: Interpretation of Climatic Parameters Using Modern Methods — Bolat U. Bayshashov, Саида Нигматова, et al. · Sustainability (2024) | TGRS Research Map | TGRS