Climate reconstruction from pollen and &delta;<sup>13</sup>C records using inverse vegetation modeling &ndash; Implication for past and future climates

An improved inverse vegetation model has been designed to better specify both temperature and precipitation estimates from vegetation descriptions. It is based on the BIOME4 vegetation model and uses both vegetation &delta;<sup>13</sup>C and biome as constraints. Previous inverse mod...

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Main Authors: J. Guiot, C. Hatté, D.-D. Rousseau
Format: Article
Language:English
Published: Copernicus Publications 2009-04-01
Series:Climate of the Past
Online Access:http://www.clim-past.net/5/147/2009/cp-5-147-2009.pdf
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spelling doaj-8d6af7b95baf45969e844c4b0ca673232020-11-25T01:45:59ZengCopernicus PublicationsClimate of the Past1814-93241814-93322009-04-0152147156Climate reconstruction from pollen and &delta;<sup>13</sup>C records using inverse vegetation modeling &ndash; Implication for past and future climatesJ. GuiotC. HattéD.-D. RousseauAn improved inverse vegetation model has been designed to better specify both temperature and precipitation estimates from vegetation descriptions. It is based on the BIOME4 vegetation model and uses both vegetation &delta;<sup>13</sup>C and biome as constraints. Previous inverse models based on only one of the two proxies were already improvements over standard reconstruction methods such as the modern analog since these did not take into account some external forcings, for example CO<sub>2</sub> concentration. <br><br> This new approach makes it possible to describe a potential "isotopic niche" defined by analogy with the "climatic niche" theory. Boreal and temperate biomes simulated by BIOME4 are considered in this study. We demonstrate the impact of CO<sub>2</sub> concentration on biome existence domains by replacing a "most likely biome" with another with increased CO<sub>2</sub> concentration. Additionally, the climate imprint on &delta;<sup>13</sup>C between and within biomes is shown: the colder the biome, the lighter its potential isotopic niche; and the higher the precipitation, the lighter the &delta;<sup>13</sup>C. <br><br> For paleoclimate purposes, previous inverse models based on either biome or &delta;<sup>13</sup>C did not allow informative paleoclimatic reconstructions of both precipitation and temperature. Application of the new approach to the Eemian of La Grande Pile palynological and geochemical records reduces the range in precipitation values by more than 50% reduces the range in temperatures by about 15% compared to previous inverse modeling approaches. This shows evidence of climate instabilities during Eemian period that can be correlated with independent continental and marine records. http://www.clim-past.net/5/147/2009/cp-5-147-2009.pdf
collection DOAJ
language English
format Article
sources DOAJ
author J. Guiot
C. Hatté
D.-D. Rousseau
spellingShingle J. Guiot
C. Hatté
D.-D. Rousseau
Climate reconstruction from pollen and &delta;<sup>13</sup>C records using inverse vegetation modeling &ndash; Implication for past and future climates
Climate of the Past
author_facet J. Guiot
C. Hatté
D.-D. Rousseau
author_sort J. Guiot
title Climate reconstruction from pollen and &delta;<sup>13</sup>C records using inverse vegetation modeling &ndash; Implication for past and future climates
title_short Climate reconstruction from pollen and &delta;<sup>13</sup>C records using inverse vegetation modeling &ndash; Implication for past and future climates
title_full Climate reconstruction from pollen and &delta;<sup>13</sup>C records using inverse vegetation modeling &ndash; Implication for past and future climates
title_fullStr Climate reconstruction from pollen and &delta;<sup>13</sup>C records using inverse vegetation modeling &ndash; Implication for past and future climates
title_full_unstemmed Climate reconstruction from pollen and &delta;<sup>13</sup>C records using inverse vegetation modeling &ndash; Implication for past and future climates
title_sort climate reconstruction from pollen and &delta;<sup>13</sup>c records using inverse vegetation modeling &ndash; implication for past and future climates
publisher Copernicus Publications
series Climate of the Past
issn 1814-9324
1814-9332
publishDate 2009-04-01
description An improved inverse vegetation model has been designed to better specify both temperature and precipitation estimates from vegetation descriptions. It is based on the BIOME4 vegetation model and uses both vegetation &delta;<sup>13</sup>C and biome as constraints. Previous inverse models based on only one of the two proxies were already improvements over standard reconstruction methods such as the modern analog since these did not take into account some external forcings, for example CO<sub>2</sub> concentration. <br><br> This new approach makes it possible to describe a potential "isotopic niche" defined by analogy with the "climatic niche" theory. Boreal and temperate biomes simulated by BIOME4 are considered in this study. We demonstrate the impact of CO<sub>2</sub> concentration on biome existence domains by replacing a "most likely biome" with another with increased CO<sub>2</sub> concentration. Additionally, the climate imprint on &delta;<sup>13</sup>C between and within biomes is shown: the colder the biome, the lighter its potential isotopic niche; and the higher the precipitation, the lighter the &delta;<sup>13</sup>C. <br><br> For paleoclimate purposes, previous inverse models based on either biome or &delta;<sup>13</sup>C did not allow informative paleoclimatic reconstructions of both precipitation and temperature. Application of the new approach to the Eemian of La Grande Pile palynological and geochemical records reduces the range in precipitation values by more than 50% reduces the range in temperatures by about 15% compared to previous inverse modeling approaches. This shows evidence of climate instabilities during Eemian period that can be correlated with independent continental and marine records.
url http://www.clim-past.net/5/147/2009/cp-5-147-2009.pdf
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