globalchange  > 气候减缓与适应
DOI: 10.1002/joc.5296
论文题名:
Regional variation in Holocene climate quantified from pollen in the Great Plains of North America
作者: Commerford J.L.; Grimm E.C.; Morris C.J.; Nurse A.; Stefanova I.; McLauchlan K.K.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期:4
起始页码: 1794
结束页码: 1807
语种: 英语
英文关键词: Ambrosia ; grasslands ; Great Plains ; paleoclimate ; pollen ; transfer functions ; WAPLS
Scopus关键词: Climate change ; Drought ; Lakes ; Least squares approximations ; Ambrosia ; Grasslands ; Great Plains ; Paleoclimates ; Pollen ; WAPLS ; Transfer functions ; climate conditions ; climate variation ; grassland ; Holocene ; paleoclimate ; palynology ; reconstruction ; regional climate ; Great Plains ; Ambrosia
英文摘要: The Great Plains experienced extreme fluctuations in precipitation and temperature throughout the Holocene, but these fluctuations have been difficult to quantify systematically across the region. Pollen has long been used as a proxy for reconstructing climate changes, but its power is limited if a region is devoid of modern pollen samples to facilitate comparison with known climate conditions. Here, we present a set of pollen-climate transfer functions developed using weighted-averaging partial least squares to reconstruct mean annual precipitation (MAP), mean temperature of the coldest month (MTcold) and mean temperature of the warmest month (MTwarm). At the foundation of these transfer functions is a new set of 141 modern pollen samples that specifically cover the climate space of the Great Plains. These functions quantify the relationship between pollen assemblages and modern climate in this region (r = 0.928, 0.838 and 0.897 for MAP, MTcold and MTwarm, respectively). We applied these functions to three previously established pollen records taken from lacustrine sites in the region – Fox Lake, MN; Moon Lake, ND; and Kettle Lake, ND – to reconstruct precipitation and temperature at these sites throughout the Holocene. Annual precipitation reconstructed with these transfer functions at Moon Lake and Kettle Lake does not capture a severe, prolonged period of drought during the mid-Holocene as seen in many other proxy records from these sites and from the region. Reconciliation of these results involves both the autecology of Ambrosia and the inability of any pollen surface samples to capture seasonal and short-term variability in precipitation. Thus, the transfer functions correctly reconstruct periodic wet summers and a disturbance factor favouring Ambrosia, but miss the effects of reduced winter precipitation and increased frequency of severe drought. The problem revealed here may be more general to biomes with higher frequency disturbance regimes and more weedy species. © 2017 Royal Meteorological Society
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/117070
Appears in Collections:气候减缓与适应

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作者单位: Department of Geography, Dartmouth College, Hanover, NH, United States; Department of Earth Sciences, University of Minnesota, Minneapolis, MN, United States; Department of Geography, Kansas State University, Manhattan, KS, United States; Climate Change Institute, University of Maine, Orono, ME, United States

Recommended Citation:
Commerford J.L.,Grimm E.C.,Morris C.J.,et al. Regional variation in Holocene climate quantified from pollen in the Great Plains of North America[J]. International Journal of Climatology,2018-01-01,38(4)
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