Paleoclimate and paleo-environmental reconstructions inferred from pollen of the Aral 86 sediment core in relation to the Tajik-Uzbek Surface Data Base
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| Formato: | Dataset Open Access |
| Lenguaje: | en |
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PANGAEA
2025
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| _version_ | 1867172415747915776 |
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| author | Dugerdil, Lucas Peyron, Odile Ménot, Guillemette Egamberdieva, Dilfuza Alimov, Jakhongir Leroy, Suzanne A G Garnier, Eric Nowak, Arkadiusz Joannin, Sébastien |
| author_facet | Dugerdil, Lucas Peyron, Odile Ménot, Guillemette Egamberdieva, Dilfuza Alimov, Jakhongir Leroy, Suzanne A G Garnier, Eric Nowak, Arkadiusz Joannin, Sébastien |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | This table presents the result of the paleoclimate and paleo-environmental reconstructions inferred from the pollen of the Aral 86 sediment core. The sediment core is divided in core depth (in m) and using an age-depth model the calendar age of each sample (in ka BP) was calculated.The climate reconstructions are Mean Annual Precipitation (MAP), Mean Temperature of Cold Quarter (MTCOQ), Mean Precipitation of Cold Quarter (MPCOQ), and the Aridity Index (AI). Different methods have been used to infer these climate parameters: the Modern Analogue Technique (MAT) and the Boosted Regression Trees (BRT) from two different datasets, the Arid Central Asian Data Base (ACADB, Dugerdil et al. (2025a)) and the TUSDB. The community-weighted mean (CWM) traits were also reconstructed (plant height, leaf area, leaf N, seed mass, SLA and SSD) and the pollen-based biomes derived from the biomization approach. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_981867 |
| institution | PANGAEA |
| language | en |
| publishDate | 2025 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Paleoclimate and paleo-environmental reconstructions inferred from pollen of the Aral 86 sediment core in relation to the Tajik-Uzbek Surface Data Base Dugerdil, Lucas Peyron, Odile Ménot, Guillemette Egamberdieva, Dilfuza Alimov, Jakhongir Leroy, Suzanne A G Garnier, Eric Nowak, Arkadiusz Joannin, Sébastien ARAL86; Arid Central Asia; Aridity index; Biome; Boosted Regression Trees; Calendar age; climate reconstruction; Cold conifer forest; Cold deciduous forest; Cold desert; Cold mixed forest; Cold steppe; Community-weighted mean trait value of density, stem-specific, z-score; Community-weighted mean trait value of height, z-score; Community-weighted mean trait value of leaf area, z-score; Community-weighted mean trait value of nitrogen, z-score; Community-weighted mean trait value of seed mass, z-score; Community-weighted mean trait value of specific leaf area, z-score; Cool mixed forest; Core86; DEPTH, sediment/rock; Hot desert; Lake Aral, Kazakhstan; Modern analogue technique (MAT); Pioneer forest; plant functional traits; Pollen calibration; Pollen representativeness; Precipitation, annual mean; Precipitation, mean; Sample ID; Taiga forest; Tajikistan; Temperate deciduous forest; Temperature, mean; Tundra; Uzbekistan; Vegetation plot; Warm mixed forest; Warm steppe; Xerophytic shrubland This table presents the result of the paleoclimate and paleo-environmental reconstructions inferred from the pollen of the Aral 86 sediment core. The sediment core is divided in core depth (in m) and using an age-depth model the calendar age of each sample (in ka BP) was calculated.The climate reconstructions are Mean Annual Precipitation (MAP), Mean Temperature of Cold Quarter (MTCOQ), Mean Precipitation of Cold Quarter (MPCOQ), and the Aridity Index (AI). Different methods have been used to infer these climate parameters: the Modern Analogue Technique (MAT) and the Boosted Regression Trees (BRT) from two different datasets, the Arid Central Asian Data Base (ACADB, Dugerdil et al. (2025a)) and the TUSDB. The community-weighted mean (CWM) traits were also reconstructed (plant height, leaf area, leaf N, seed mass, SLA and SSD) and the pollen-based biomes derived from the biomization approach. |
| title | Paleoclimate and paleo-environmental reconstructions inferred from pollen of the Aral 86 sediment core in relation to the Tajik-Uzbek Surface Data Base |
| topic | ARAL86; Arid Central Asia; Aridity index; Biome; Boosted Regression Trees; Calendar age; climate reconstruction; Cold conifer forest; Cold deciduous forest; Cold desert; Cold mixed forest; Cold steppe; Community-weighted mean trait value of density, stem-specific, z-score; Community-weighted mean trait value of height, z-score; Community-weighted mean trait value of leaf area, z-score; Community-weighted mean trait value of nitrogen, z-score; Community-weighted mean trait value of seed mass, z-score; Community-weighted mean trait value of specific leaf area, z-score; Cool mixed forest; Core86; DEPTH, sediment/rock; Hot desert; Lake Aral, Kazakhstan; Modern analogue technique (MAT); Pioneer forest; plant functional traits; Pollen calibration; Pollen representativeness; Precipitation, annual mean; Precipitation, mean; Sample ID; Taiga forest; Tajikistan; Temperate deciduous forest; Temperature, mean; Tundra; Uzbekistan; Vegetation plot; Warm mixed forest; Warm steppe; Xerophytic shrubland |
| url | https://doi.org/10.1594/PANGAEA.981867 |