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Tytuł pozycji:

Quantifying trends and uncertainty in prehistoric forest composition in the upper Midwestern United States.

Tytuł:
Quantifying trends and uncertainty in prehistoric forest composition in the upper Midwestern United States.
Autorzy:
Dawson A; Department of General Education, Mount Royal University, Calgary, Alberta, T3E6K6, Canada.
Paciorek CJ; Department of Statistics, University of California, Berkeley, California, 94720, USA.
Goring SJ; Department of Geography and Center for Climatic Research, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA.
Jackson ST; Department of the Interior Southwest Climate Science Center, U.S. Geological Survey, Tucson, Arizona, 85721, USA.; Department of Geosciences, University of Arizona, Tucson, Arizona, 85721, USA.
McLachlan JS; Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, 46556, USA.
Williams JW; Department of Geography and Center for Climatic Research, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA.
Źródło:
Ecology [Ecology] 2019 Dec; Vol. 100 (12), pp. e02856. Date of Electronic Publication: 2019 Sep 13.
Typ publikacji:
Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
Język:
English
Imprint Name(s):
Publication: Washington, DC : Ecological Society of America
Original Publication: Brooklyn, NY : Brooklyn Botanical Garden
MeSH Terms:
Ecosystem*
Forests*
Bayes Theorem ; Climate Change ; Midwestern United States ; Minnesota ; Uncertainty ; United States ; Wisconsin
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Grant Information:
1241851 International Division of Environmental Biology; 1241868 International Division of Environmental Biology; 1241874 International Division of Environmental Biology
Contributed Indexing:
Keywords: Tsuga; Bayesian hierarchical models; forest dynamics; historical ecology; paleoecology; palynology; pollen-vegetation modeling
Entry Date(s):
Date Created: 20190806 Date Completed: 20191212 Latest Revision: 20210110
Update Code:
20240105
PubMed Central ID:
PMC6916576
DOI:
10.1002/ecy.2856
PMID:
31381148
Czasopismo naukowe
Forest ecosystems in eastern North America have been in flux for the last several thousand years, well before Euro-American land clearance and the 20th-century onset of anthropogenic climate change. However, the magnitude and uncertainty of prehistoric vegetation change have been difficult to quantify because of the multiple ecological, dispersal, and sedimentary processes that govern the relationship between forest composition and fossil pollen assemblages. Here we extend STEPPS, a Bayesian hierarchical spatiotemporal pollen-vegetation model, to estimate changes in forest composition in the upper Midwestern United States from about 2,100 to 300 yr ago. Using this approach, we find evidence for large changes in the relative abundance of some species, and significant changes in community composition. However, these changes took place against a regional background of changes that were small in magnitude or not statistically significant, suggesting complexity in the spatiotemporal patterns of forest dynamics. The single largest change is the infilling of Tsuga canadensis in northern Wisconsin over the past 2,000 yr. Despite range infilling, the range limit of T. canadensis was largely stable, with modest expansion westward. The regional ecotone between temperate hardwood forests and northern mixed hardwood/conifer forests shifted southwestward by 15-20 km in Minnesota and northwestern Wisconsin. Fraxinus, Ulmus, and other mesic hardwoods expanded in the Big Woods region of southern Minnesota. The increasing density of paleoecological data networks and advances in statistical modeling approaches now enables the confident detection of subtle but significant changes in forest composition over the last 2,000 yr.
(© 2019 The Authors. Ecology published by Wiley Periodicals, Inc. on behalf of Ecological Society of America.)

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