Tracking plant, fungal and algal diversity through a data mining approach: towards an improved analysis of holocene lake Aydat (Puyde-Dôme, France) dynamics and ecological legacies.

Yannick Miras; Jerry Lonlac; Beauger Aude; Benjamin Legrand; Karen K. Serieyssol; Marlène Lavrieux; Paul M Ledger; Engelbert Mephu Nguifo; Jean-Luc Peiry

Journal articles

Tracking plant, fungal and algal diversity through a data mining approach: towards an improved analysis of holocene lake Aydat (Puyde-Dôme, France) dynamics and ecological legacies.

Yannick Miras ¹ Jerry Lonlac ² Beauger Aude ³ Benjamin Legrand Karen K. Serieyssol Marlène Lavrieux Paul M Ledger ⁴ Engelbert Mephu Nguifo Jean-Luc Peiry ^{5, 6}

1 HNHP - Histoire naturelle de l'Homme préhistorique

2 IMT Nord Europe - Ecole nationale supérieure Mines-Télécom Lille Douai

3 GEOLAB - Laboratoire de Géographie Physique et Environnementale

4 Memorial University of Newfoundland - Memorial University of Newfoundland

5 EDYTEM - Environnements, Dynamiques et Territoires de la Montagne

6 UCA - Université Clermont Auvergne

Document type :

Journal articles

Domain :

Environmental Sciences / Environmental and Society

Environmental Sciences / Biodiversity and Ecology

Humanities and Social Sciences

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https://hal-cnrs.archives-ouvertes.fr/hal-03547371
Contributor : Yannick Miras Connect in order to contact the contributor
Submitted on : Friday, January 28, 2022 - 2:51:59 PM
Last modification on : Friday, April 1, 2022 - 3:54:52 AM

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Tracking plant, fungal and algal diversity through a data mining approach: towards an improved analysis of holocene lake Aydat (Puyde-Dôme, France) dynamics and ecological legacies.

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HAL-CNRS

Tracking plant, fungal and algal diversity through a data mining approach: towards an improved analysis of holocene lake Aydat (Puyde-Dôme, France) dynamics and ecological legacies.

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