Comparing and improving methods for reconstructing peatland water-table depth from testate amoebae/ (Record no. 12851)

MARC details
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fixed length control field 02665nab a2200349 4500
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control field 20220821153815.0
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100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Nolan, Connor
245 ## - TITLE STATEMENT
Title Comparing and improving methods for reconstructing peatland water-table depth from testate amoebae/
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Sage,
Date of publication, distribution, etc 2019.
300 ## - PHYSICAL DESCRIPTION
Pages Vol 29, issue 8, 2019 : (1350-1361 p.).
520 ## - SUMMARY, ETC.
Summary, etc Proxies that use changes in the composition of ecological communities to reconstruct temporal changes in an environmental covariate are commonly used in paleoclimatology and paleolimnology. Existing methods, such as weighted averaging and modern analog technique, relate compositional data to the covariate in very simple ways, and different methods are seldom compared systematically. We present a new Bayesian model that better represents the underlying data and the complexity in the relationships between species’ abundances and a paleoenvironmental covariate. Using testate amoeba–based reconstructions of water-table depth as a test case, we systematically compare new and existing models in a cross-validation experiment on a large training dataset from North America. We then apply the different models to a new 7500-year record of testate amoeba assemblages from Caribou Bog in Maine and compare the resulting water-table depth reconstructions. We find that Bayesian models represent an improvement over existing methods in three key ways: more complete use of the underlying compositional data, full and meaningful treatment of uncertainty, and clear paths toward methodological improvements. Furthermore, we highlight how developing and systematically comparing methods lead to an improved understanding of the proxy system. This paper focuses on testate amoebae and water-table depth, but the framework and ideas are widely applicable to other proxies based on compositional data.
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Subject Bayesian statistics,
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Subject compositional data,
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Subject Holocene,
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Subject hydrology,
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Subject North America,
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Subject Northeast United States,
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Subject peatlands,
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Subject paleoclimate,
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Subject statistical methods,
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Subject testate amoebae
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Added Entry Personal Name Tipton, John
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Added Entry Personal Name Boot, Robert K
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Added Entry Personal Name Hooten, Mevin B
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Added Entry Personal Name Jackson,Stephen T
773 0# - HOST ITEM ENTRY
Host Biblionumber 12756
Host Itemnumber 16504
Place, publisher, and date of publication London: Sage Publication Ltd, 2019.
Title Holocene/
International Standard Serial Number 09596836
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1177/0959683619846969
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Koha item type Articles
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