Journal
LAND
Volume 6, Issue 4, Pages -Publisher
MDPI
DOI: 10.3390/land6040091
Keywords
land use; paleoecology; environmental history; human-environment interactions
Categories
Funding
- European Research Council (COEVOLVE) [313797]
- Linnaeus University's Faculty of Health and Life Sciences (Kalmar-Vaxjo, Sweden)
- strategic Research Area ModElling the Regional and Global Earth system (MERGE)
- Estonian Research Council [IUT18-19]
- Swedish Science Research Council VR
- Nordic Council of Ministers' NordForsk
- MERGE
- U.S. National Science Foundation
- Swiss Academy of Sciences
- European Research Council (ERC) [313797] Funding Source: European Research Council (ERC)
- Directorate For Geosciences
- Division Of Earth Sciences [1440015] Funding Source: National Science Foundation
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Anthropogenic land cover change (ALCC) is the most important transformation of the Earth system that occurred in the preindustrial Holocene, with implications for carbon, water and sediment cycles, biodiversity and the provision of ecosystem services and regional and global climate. For example, anthropogenic deforestation in preindustrial Eurasia may have led to feedbacks to the climate system: both biogeophysical, regionally amplifying winter cold and summer warm temperatures, and biogeochemical, stabilizing atmospheric CO2 concentrations and thus influencing global climate. Quantification of these effects is difficult, however, because scenarios of anthropogenic land cover change over the Holocene vary widely, with increasing disagreement back in time. Because land cover change had such widespread ramifications for the Earth system, it is essential to assess current ALCC scenarios in light of observations and provide guidance on which models are most realistic. Here, we perform a systematic evaluation of two widely-used ALCC scenarios (KK10 and HYDE3.1) in northern and part of central Europe using an independent, pollen-based reconstruction of Holocene land cover (REVEALS). Considering that ALCC in Europe primarily resulted in deforestation, we comparemodeled land use with the cover of non-forest vegetation inferred from the pollen data. Though neither land cover change scenario matches the pollen-based reconstructions precisely, KK10 correlates well with REVEALS at the country scale, while HYDE systematically underestimates land use with increasing magnitude with time in the past. Discrepancies between modeled and reconstructed land use are caused by a number of factors, including assumptions of per-capita land use and socio-cultural factors that cannot be predicted on the basis of the characteristics of the physical environment, including dietary preferences, long-distance trade, the location of urban areas and social organization.
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