Michelle Cardoso da Silva Giannerini, Marcelo de Araujo Carvalho, Cecília Cunha Lana, Gustavo Santiago, Natália de Paula Sá, Gabriel da Cunha Correia
{"title":"Late Aptian paleoclimate reconstruction of the Brazilian equatorial margin: inferences from palynology","authors":"Michelle Cardoso da Silva Giannerini, Marcelo de Araujo Carvalho, Cecília Cunha Lana, Gustavo Santiago, Natália de Paula Sá, Gabriel da Cunha Correia","doi":"10.5194/cp-19-1715-2023","DOIUrl":null,"url":null,"abstract":"Abstract. This study conducted high-resolution paleoclimatic analyses based on the\nidentification of palynological groups of late Aptian age (biozone\nSergipea veriverrucata) in the Bragança and Codó formations within the Bragança–Viseu,\nSão Luís, and Parnaíba basins. The analysis comprised 40\npalynological samples, with 200 palynomorphs per slide counted when\npossible. Bioclimatic analysis was mainly supported by the identification of\nbotanical affinities, and ecological and climatic parameters such as the\nwet/arid trend (Fs/X), Shannon–Wiener diversity, and indicator species\nanalysis (IndVal) were used. Statistical analyses such as principal\ncomponent and cluster analyses were employed to support the paleoclimatic\ninterpretations. The study recognized 69 genera distributed among the main\ngroups of living plants, including bryophytes, ferns, lycophytes,\ngymnosperms, and angiosperms. It was possible to attribute botanical\naffinity in 94.2 % of the taxa, and nine genera occurred in all sections\nstudied: Afropollis, Araucariacites, Callialasporites, Cicatricosisporites, Classopollis, Cyathidites, Deltoidospora, Equisetosporites, and Verrucosisporites, with Classopollis being the most abundant. The\nstratigraphic distribution of the bioclimatic groups (hydrophytes,\nhygrophytes, lowland tropical flora, upland flora, and xerophytes) allowed\nfor the identification of climatic phases: pre-evaporitic, evaporitic, and\npost-evaporitic. In the pre-evaporitic phase, the most significant\nabundances were between the hygrophytes and upland flora, indicating a\ncertain level of humidity. Xerophytes were the most abundant in all phases,\nwith a conspicuous increase in the evaporitic phase, reflecting an increase\nin aridity. In the post-evaporitic phase, there was a significant increase\nin the upland flora with the return of wetter conditions. This study\nconfirmed an increasing humidity trend in the analyzed sections, probably\nowing to the influence of the Intertropical Convergence Zone that was already\noperating during the late Aptian.\n","PeriodicalId":10332,"journal":{"name":"Climate of The Past","volume":" ","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Climate of The Past","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.5194/cp-19-1715-2023","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 1
Abstract
Abstract. This study conducted high-resolution paleoclimatic analyses based on the
identification of palynological groups of late Aptian age (biozone
Sergipea veriverrucata) in the Bragança and Codó formations within the Bragança–Viseu,
São Luís, and Parnaíba basins. The analysis comprised 40
palynological samples, with 200 palynomorphs per slide counted when
possible. Bioclimatic analysis was mainly supported by the identification of
botanical affinities, and ecological and climatic parameters such as the
wet/arid trend (Fs/X), Shannon–Wiener diversity, and indicator species
analysis (IndVal) were used. Statistical analyses such as principal
component and cluster analyses were employed to support the paleoclimatic
interpretations. The study recognized 69 genera distributed among the main
groups of living plants, including bryophytes, ferns, lycophytes,
gymnosperms, and angiosperms. It was possible to attribute botanical
affinity in 94.2 % of the taxa, and nine genera occurred in all sections
studied: Afropollis, Araucariacites, Callialasporites, Cicatricosisporites, Classopollis, Cyathidites, Deltoidospora, Equisetosporites, and Verrucosisporites, with Classopollis being the most abundant. The
stratigraphic distribution of the bioclimatic groups (hydrophytes,
hygrophytes, lowland tropical flora, upland flora, and xerophytes) allowed
for the identification of climatic phases: pre-evaporitic, evaporitic, and
post-evaporitic. In the pre-evaporitic phase, the most significant
abundances were between the hygrophytes and upland flora, indicating a
certain level of humidity. Xerophytes were the most abundant in all phases,
with a conspicuous increase in the evaporitic phase, reflecting an increase
in aridity. In the post-evaporitic phase, there was a significant increase
in the upland flora with the return of wetter conditions. This study
confirmed an increasing humidity trend in the analyzed sections, probably
owing to the influence of the Intertropical Convergence Zone that was already
operating during the late Aptian.
期刊介绍:
Climate of the Past (CP) is a not-for-profit international scientific journal dedicated to the publication and discussion of research articles, short communications, and review papers on the climate history of the Earth. CP covers all temporal scales of climate change and variability, from geological time through to multidecadal studies of the last century. Studies focusing mainly on present and future climate are not within scope.
The main subject areas are the following:
reconstructions of past climate based on instrumental and historical data as well as proxy data from marine and terrestrial (including ice) archives;
development and validation of new proxies, improvements of the precision and accuracy of proxy data;
theoretical and empirical studies of processes in and feedback mechanisms between all climate system components in relation to past climate change on all space scales and timescales;
simulation of past climate and model-based interpretation of palaeoclimate data for a better understanding of present and future climate variability and climate change.