Literature DB >> 11179714

Pollen assemblages as paleoenvironmental proxies in the Florida Everglades.

D A. Willard1, L M. Weimer, W L. Riegel.   

Abstract

Analysis of 170 pollen assemblages from surface samples in eight vegetation types in the Florida Everglades indicates that these wetland sub-environments are distinguishable from the pollen record and that they are useful proxies for hydrologic and edaphic parameters. Vegetation types sampled include sawgrass marshes, cattail marshes, sloughs with floating aquatics, wet prairies, brackish marshes, tree islands, cypress swamps, and mangrove forests. The distribution of these vegetation types is controlled by specific environmental parameters, such as hydrologic regime, nutrient availability, disturbance level, substrate type, and salinity; ecotones between vegetation types may be sharp. Using R-mode cluster analysis of pollen data, we identified diagnostic species groupings; Q-mode cluster analysis was used to differentiate pollen signatures of each vegetation type. Cluster analysis and the modern analog technique were applied to interpret vegetational and environmental trends over the last two millennia at a site in Water Conservation Area 3A. The results show that close modern analogs exist for assemblages in the core and indicate past hydrologic changes at the site, correlated with both climatic and land-use changes. The ability to differentiate marshes with different hydrologic and edaphic requirements using the pollen record facilitates assessment of relative impacts of climatic and anthropogenic changes on this wetland ecosystem on smaller spatial and temporal scales than previously were possible.

Entities:  

Year:  2001        PMID: 11179714     DOI: 10.1016/s0034-6667(00)00042-7

Source DB:  PubMed          Journal:  Rev Palaeobot Palynol        ISSN: 0034-6667            Impact factor:   1.940


  8 in total

1.  Mid- to late-Holocene El Nino-Southern Oscillation dynamics reflected in the subtropical terrestrial realm.

Authors:  Timme H Donders; Friederike Wagner; David L Dilcher; Henk Visscher
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-25       Impact factor: 11.205

2.  Millennial-scale vegetation dynamics in an estuary at the onset of the Miocene Climate Optimum.

Authors:  Andrea Kern; Mathias Harzhauser; Oleg Mandic; Reinhard Roetzel; Stjepan Corić; Angela A Bruch; Martin Zuschin
Journal:  Palaeogeogr Palaeoclimatol Palaeoecol       Date:  2011-05-01       Impact factor: 3.318

3.  Rapid inundation of southern Florida coastline despite low relative sea-level rise rates during the late-Holocene.

Authors:  Miriam C Jones; G Lynn Wingard; Bethany Stackhouse; Katherine Keller; Debra Willard; Marci Marot; Bryan Landacre; Christopher E Bernhardt
Journal:  Nat Commun       Date:  2019-07-19       Impact factor: 14.919

4.  Greenhouse conditions in lower Eocene coastal wetlands?-Lessons from Schöningen, Northern Germany.

Authors:  Olaf K Lenz; Walter Riegel; Volker Wilde
Journal:  PLoS One       Date:  2021-01-13       Impact factor: 3.240

5.  Precipitation driven decadal scale decline and recovery of wetlands of Lake Pannon during the Tortonian.

Authors:  Andrea K Kern; Mathias Harzhauser; Ali Soliman; Werner E Piller; Martin Gross
Journal:  Palaeogeogr Palaeoclimatol Palaeoecol       Date:  2012-02-01       Impact factor: 3.318

6.  High-resolution analysis of upper Miocene lake deposits: Evidence for the influence of Gleissberg-band solar forcing.

Authors:  Andrea K Kern; Mathias Harzhauser; Ali Soliman; Werner E Piller; Oleg Mandic
Journal:  Palaeogeogr Palaeoclimatol Palaeoecol       Date:  2013-01-15       Impact factor: 3.318

7.  Dynamics of marsh-mangrove ecotone since the mid-Holocene: A palynological study of mangrove encroachment and sea level rise in the Shark River Estuary, Florida.

Authors:  Qiang Yao; Kam-Biu Liu
Journal:  PLoS One       Date:  2017-03-10       Impact factor: 3.240

8.  A global database of Holocene paleotemperature records.

Authors:  Darrell Kaufman; Nicholas McKay; Cody Routson; Michael Erb; Basil Davis; Oliver Heiri; Samuel Jaccard; Jessica Tierney; Christoph Dätwyler; Yarrow Axford; Thomas Brussel; Olivier Cartapanis; Brian Chase; Andria Dawson; Anne de Vernal; Stefan Engels; Lukas Jonkers; Jeremiah Marsicek; Paola Moffa-Sánchez; Carrie Morrill; Anais Orsi; Kira Rehfeld; Krystyna Saunders; Philipp S Sommer; Elizabeth Thomas; Marcela Tonello; Mónika Tóth; Richard Vachula; Andrei Andreev; Sebastien Bertrand; Boris Biskaborn; Manuel Bringué; Stephen Brooks; Magaly Caniupán; Manuel Chevalier; Les Cwynar; Julien Emile-Geay; John Fegyveresi; Angelica Feurdean; Walter Finsinger; Marie-Claude Fortin; Louise Foster; Mathew Fox; Konrad Gajewski; Martin Grosjean; Sonja Hausmann; Markus Heinrichs; Naomi Holmes; Boris Ilyashuk; Elena Ilyashuk; Steve Juggins; Deborah Khider; Karin Koinig; Peter Langdon; Isabelle Larocque-Tobler; Jianyong Li; André Lotter; Tomi Luoto; Anson Mackay; Eniko Magyari; Steven Malevich; Bryan Mark; Julieta Massaferro; Vincent Montade; Larisa Nazarova; Elena Novenko; Petr Pařil; Emma Pearson; Matthew Peros; Reinhard Pienitz; Mateusz Płóciennik; David Porinchu; Aaron Potito; Andrew Rees; Scott Reinemann; Stephen Roberts; Nicolas Rolland; Sakari Salonen; Angela Self; Heikki Seppä; Shyhrete Shala; Jeannine-Marie St-Jacques; Barbara Stenni; Liudmila Syrykh; Pol Tarrats; Karen Taylor; Valerie van den Bos; Gaute Velle; Eugene Wahl; Ian Walker; Janet Wilmshurst; Enlou Zhang; Snezhana Zhilich
Journal:  Sci Data       Date:  2020-04-14       Impact factor: 6.444

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.