Theory of quantitative reconstruction of vegetation I: pollen from large sites REVEALS regional vegetation composition
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Abstract
Quantitative reconstruction of past vegetation is one of the primary goals in Quaternary palynology and palaeoecology but still remains difficult. This paper proposes a model, REVEALS, that estimates regional vegetation composition using pollen from ‘large lakes’ that have small site-to-site variations of pollen assemblages even if vegetation is highly heterogeneous. Once these data have been used to quantify regional vegetation composition within 10 4 -10 5 km 2 , background pollen, one of the parameters crucial for vegetation reconstruction, can be estimated for smaller-sized sites, and incorporated into the Landscape Reconstruction Algorithm (LRA), a multistep framework for quantitative reconstruction of…
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Topics
Keywords
- Vegetation (pathology)
- Palynology
- Pollen
- Woodland
- Physical geography
- Paleoecology
- Holocene
- Climate change
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