Biome‐ and timescale‐dependence of Holocene vegetation variability in the Northern Hemisphere DOI Creative Commons
Raphaël Hébert, Laura Schild, Thomas Laepple

et al.

Ecology and Evolution, Journal Year: 2023, Volume and Issue: 13(10)

Published: Oct. 1, 2023

Global climatic changes expected in the next centuries are likely to cause unparalleled vegetation disturbances, which turn impact ecosystem services. To assess significance of it is necessary characterize and understand typical natural variability on multi-decadal timescales longer. We investigate this Holocene by examining a taxonomically harmonized temporally standardized global fossil pollen dataset. Using principal component analysis, we assemblages, proxy for composition, derive timescale-dependent estimates using first-order Haar structure function. find, average, increasing fluctuations composition from centennial millennial timescales, as well spatially coherent patterns variability. further relate these variations pairwise comparisons between biome classes based composition. As such, higher identified open-land compared forests. This consistent with more active fire regimes biomes fostering Needleleaf forests variable than broadleaf shorter (centennial) but inverse true longer (millennial) timescales. inversion could also be explained characteristics disturbances would increase stabilize timecales preventing migration less fire-adapted species.

Language: Английский

Biome‐ and timescale‐dependence of Holocene vegetation variability in the Northern Hemisphere DOI Creative Commons
Raphaël Hébert, Laura Schild, Thomas Laepple

et al.

Ecology and Evolution, Journal Year: 2023, Volume and Issue: 13(10)

Published: Oct. 1, 2023

Global climatic changes expected in the next centuries are likely to cause unparalleled vegetation disturbances, which turn impact ecosystem services. To assess significance of it is necessary characterize and understand typical natural variability on multi-decadal timescales longer. We investigate this Holocene by examining a taxonomically harmonized temporally standardized global fossil pollen dataset. Using principal component analysis, we assemblages, proxy for composition, derive timescale-dependent estimates using first-order Haar structure function. find, average, increasing fluctuations composition from centennial millennial timescales, as well spatially coherent patterns variability. further relate these variations pairwise comparisons between biome classes based composition. As such, higher identified open-land compared forests. This consistent with more active fire regimes biomes fostering Needleleaf forests variable than broadleaf shorter (centennial) but inverse true longer (millennial) timescales. inversion could also be explained characteristics disturbances would increase stabilize timecales preventing migration less fire-adapted species.

Language: Английский

Citations

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