Applications of Non-Pollen Palynomorphs: from Palaeoenvironmental Reconstructions to Biostratigraphy
CONTAINS OPEN ACCESS

This long-awaited book about non-pollen palynomorphs (NPPs) aims to cover gaps in our knowledge of these abundant but understudied palynological remains. NPPs, such as fungal spores, testate amoebae, dinoflagellate cysts, acritarchs and animal remains, are routinely recovered from palynological preparations of marine or terrestrial material, from Proterozoic to recent geological times. This book gives the reader a comprehensive overview of the different types of NPPs, with examples from diverse time periods and environments. It provides guidance on sample preparation to maximize the recovery of these NPPs, detailed information on their diversity and ecological affinity, clarification on the nomenclature and demonstrates their value as environmental indicators. This volume will become the reference guide for any student, academic or practitioner interested in everything else in their palynological preparations.
An overview of techniques applied to the extraction of non-pollen palynomorphs, their known taphonomic issues and recommendations to maximize recovery
Correspondence: matthew.pound@northumbria.ac.uk
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Published:September 21, 2021
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CiteCitation
Matthew J. Pound, Jennifer M. K. O'Keefe, Fabienne Marret, 2021. "An overview of techniques applied to the extraction of non-pollen palynomorphs, their known taphonomic issues and recommendations to maximize recovery", Applications of Non-Pollen Palynomorphs: from Palaeoenvironmental Reconstructions to Biostratigraphy, F. Marret, J. O'Keefe, P. Osterloff, M. Pound, L. Shumilovskikh
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Abstract
This chapter synthesizes the most common processing techniques applied to palynomorphs and their known issues. We primarily focus on non-pollen palynomorphs (NPPs), but include studies on pollen grains where the information might be relevant. An overview of recent (2017–19) NPP publications is used to connect the most common techniques to known taphonomic issues. Finally, general recommendations are made to minimize processing bias and maximize NPP recovery.