Yavar moshirfar presentation on ESR-A5 program

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ESR-A5 Yavar Moshirfar 1-9

Transcript of Yavar moshirfar presentation on ESR-A5 program

Page 1: Yavar moshirfar presentation on ESR-A5 program

ESR-A5Yavar

Moshirfar

1-9

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Scientific BackgroundM.Sc in Geosciences, 2013. Ferdowsi University of Mashhad, Iran Major: Paleontology and Stratigraphy

Research Theme: Palaeocology, palynofacies and sequence stratigraphy of Khangiran formation, Chehel-kaman anticline, NE Iran.

Research Interests: palaeoclimate, biogeography, dinoflagellate palaeobiology, palaeocology, ancient ocean geochemistry, quantitative biostratigraphy, sequence stratigraphy,past environments reconstructions, palaeoceanography

Publications:-Moshirfar, Y., Mahdavi, M.; Ghasemi-Nejad, E. and Ashouri, A.(2013). Eocene climatic events recorded in dinoflagellate cyst assemblages from the Kopeh-Dagh Basin, NE Iran; a statistical approach. Arabian Journal of Geosciences 8, 867-876.

-Moshirfar, Y., Ghasemi-Nejad, E and Ashouri, A. (2013).Paleoecology of Khangiran Formation on Chehel-Kaman Anticline section (East of Kopet-Dagh), A Palynological Approach. Poster Presentation. Proceeding of 7th Symposium of Paleontological Society of Iran.

2-9Drivers of Ponto-Caspian biodiversity Rise and Demise

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Field and Research Experiences - Field work experience from 2004 to 2014 Special field works: Alborz Mountains Paleozoic-Cenozoic field trip (2006) ,P/T

zone of Djolfa area, NW Iran (2006), general geology of Kalan-kesh area, NW Iran (2007), Field geologist for several mining projects (2007-2008), Kopet-dag Mesozoic formations (2010), Central Iran Pre-camberian to Mesozoic trip (2011) Khangiran formation, NE Iran, (M.Sc dissertation, 2012), Khangiran formation on Type-section (2012) and Rupelian shark teeth hunt, Belgium, Antwerp (Dinocourse,2012).

- Research experience from 2007 to 2014Special research experiences: Taxonomic identification and classification of

“Fish bed” sedimentary layers, SW Tabriz city, NW Iran (sedimentary environment course, 2007); evaluating the azimuth and sedimentary properties of Cenozoic sedimentary layers, North Tabriz area (2007), Paleontology and tectono-stratigraphy of Mishou and Moro Faults vicinity regions, Kalan-kesh area, NW Iran (2007), geological history and Juxtaposition patterns of lower Cretaceous layers, Kopet-dag area, NE Iran (Geology of Iran and it’s vicinity course, 2011), Dinoflagellate palaeocology of lower part of Khangiran formation (Co-work with another M.Sc dissertation, 2012), Statistical interpretation and past environment reconstruction (Co-work with one Ph.D. thesis on Eocene layers on SW Iran, 2012), Palaeoclimate interpretation and comparison of lower and upper part of Khangiran formation, (M.Sc dissertation, 2013), Palaeocology, palynofacies and sequences stratigraphy of Khangiran formation, (M.Sc dissertation, 2013)

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Drivers of Ponto-Caspian biodiversity Rise and Demise

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Biodiversity drivers

Drivers of Ponto-Caspian biodiversity Rise and Demise

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Alteration of: Nutrition patterns Salinity Water cycling patterns Water chemistry Climate Glaciations Tectonic movements Transgression and Regressions

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Drivers identification and manipulation

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How?

-Dinocyst Taxonomical studies (it can be more elaborate and exact with other fossil groups integration)

-Dinocyst biostratigraphy and age calibrations

-Dinocyst palaeoecological proxies (patterns like: Warm/Cold, Inner neritic/Oceanic ,Outer neritic/Oceanic, C/PPC (Chorate forms to Proximochorate + Proximate + Cavate forms), Salinity ,P/G (Peridinoid/Gonyaulacoid) “Productivity”, etc.)

-Paleoclimatological and geochemical proxies (Paleothermometry “TEX 86” , ion-deficiency, stable isotopes, radio carbon dating, thermoluminescence, Gas chromatography, etc.)

-Sedimentary data like sequences and Para-sequences studies, glacial sediments, terrestrial sediments, etc.

-Gathering all obtainable data and then Statistical Methods (unconstrained

methods)

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Why Statistical methods?Linear relationship between species and

environmental changes, then NO need to unconstrained methods

ButGRADIENTS

Show non-linear relations to environmental alterations

Unconstrained methods that based on non-linear responses to environmental curves and

gradients

Species correspondence in methods likeCanonical Correspondence and Detrended Correspondence.

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Final Solution

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Interpreting data with unconstrained ordination methods:

-Identification of each species environmental preferences in terms of temperature, productivity, nutrients, salinity, etc.

-Identification of endemic taxa

-Identification of ultimate effective environmental alteration

UNDER

RECONSTRUCTION

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For whatever we lose( like a you or a me) it is always ourselves we find in the Sea.

E.E.Cummings (1894-1962)

Yavar Moshirfar

Moshirfar@