TY - JOUR A1 - Marquer, Laurent A1 - Gaillard, Marie-Jose A1 - Sugita, Shinya A1 - Poska, Anneli A1 - Trondman, Anna-Kari A1 - Mazier, Florence A1 - Nielsen, Anne Birgitte A1 - Fyfe, Ralph M. A1 - Jonsson, Anna Maria A1 - Smith, Benjamin A1 - Kaplan, Jed O. A1 - Alenius, Teija A1 - Birks, H. John B. A1 - Bjune, Anne E. A1 - Christiansen, Jorg A1 - Dodson, John A1 - Edwards, Kevin J. A1 - Giesecke, Thomas A1 - Herzschuh, Ulrike A1 - Kangur, Mihkel A1 - Koff, Tiiu A1 - Latalowa, Maligorzata A1 - Lechterbeck, Jutta A1 - Olofsson, Jorgen A1 - Seppa, Heikki T1 - Quantifying the effects of land use and climate on Holocene vegetation in Europe JF - Quaternary science reviews : the international multidisciplinary research and review journal N2 - Early agriculture can be detected in palaeovegetation records, but quantification of the relative importance of climate and land use in influencing regional vegetation composition since the onset of agriculture is a topic that is rarely addressed. We present a novel approach that combines pollen-based REVEALS estimates of plant cover with climate, anthropogenic land-cover and dynamic vegetation modelling results. This is used to quantify the relative impacts of land use and climate on Holocene vegetation at a sub-continental scale, i.e. northern and western Europe north of the Alps. We use redundancy analysis and variation partitioning to quantify the percentage of variation in vegetation composition explained by the climate and land-use variables, and Monte Carlo permutation tests to assess the statistical significance of each variable. We further use a similarity index to combine pollen based REVEALS estimates with climate-driven dynamic vegetation modelling results. The overall results indicate that climate is the major driver of vegetation when the Holocene is considered as a whole and at the sub-continental scale, although land use is important regionally. Four critical phases of land-use effects on vegetation are identified. The first phase (from 7000 to 6500 BP) corresponds to the early impacts on vegetation of farming and Neolithic forest clearance and to the dominance of climate as a driver of vegetation change. During the second phase (from 4500 to 4000 BP), land use becomes a major control of vegetation. Climate is still the principal driver, although its influence decreases gradually. The third phase (from 2000 to 1500 BP) is characterised by the continued role of climate on vegetation as a consequence of late-Holocene climate shifts and specific climate events that influence vegetation as well as land use. The last phase (from 500 to 350 BP) shows an acceleration of vegetation changes, in particular during the last century, caused by new farming practices and forestry in response to population growth and industrialization. This is a unique signature of anthropogenic impact within the Holocene but European vegetation remains climatically sensitive and thus may continue to respond to ongoing climate change. (C) 2017 Elsevier Ltd. All rights reserved. KW - Climate KW - Holocene KW - Human impact KW - Land use KW - LPJ-GUESS KW - Europe KW - Pollen KW - REVEALS KW - Vegetation composition Y1 - 2017 U6 - https://doi.org/10.1016/j.quascirev.2017.07.001 SN - 0277-3791 VL - 171 SP - 20 EP - 37 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - Herzschuh, Ulrike A1 - Ni, Jian A1 - Birks, H. John B. A1 - Böhner, Jürgen T1 - Driving forces of mid-Holocene vegetation shifts on the upper Tibetan Plateau, with emphasis on changes in atmospheric CO2 concentrations JF - Quaternary science reviews : the international multidisciplinary research and review journal N2 - Numerous pollen records across the upper Tibetan Plateau indicate that in the early part of the mid-Holocene, Kobresia-rich high-alpine meadows invaded areas formerly dominated by alpine steppe vegetation rich in Artemisia. We examine climate, land-use, and CO2 concentration changes as potential drivers for this marked vegetation change. The climatic implications of these vegetational shifts are explored by applying a newly developed pollen-based moisture-balance transfer-function to fossil pollen spectra from Koucha Lake on the north-eastern Tibetan Plateau (34.0 degrees N; 97.2 degrees E; 4540 m a.s.l.) and Xuguo Lake on the central Tibetan Plateau (31.97 degrees N; 90.3 degrees E; 4595 m a.s.l.), both located in the meadow-steppe transition zone. Reconstructed moisture-balances were markedly reduced (by similar to 150-180 mm) during the early mid-Holocene compared to the late-Holocene. These findings contradict most other records from the Indian monsoonal realm and also most non-pollen records from the Tibetan Plateau that indicate a rather wet early- and mid-Holocene. The extent and timing of anthropogenic land-use involving grazing by large herbivores on the upper Tibetan Plateau and its possible impacts on high-alpine vegetation are still mostly unknown due to the lack of relevant archaeological evidence. Arguments against a mainly anthropogenic origin of Kobresia high-alpine meadows are the discovery of the widespread expansion of obviously 'natural' Kobresia meadows on the south-eastern Tibetan Plateau during the Lateglacial period indicating the natural origin of this vegetation type and the lack of any concurrence between modern human-driven vegetation shifts and the mid-Holocene compositional changes. Vegetation types are known to respond to atmospheric CO2 concentration changes, at least on glacial-interglacial scales. This assumption is confirmed by our sensitivity study where we model Tibetan vegetation at different CO2 concentrations of 375 (present-day), 260 (early Holocene), and 650 ppm (future scenario) using the BIOME4 global vegetation model. Previous experimental studies confirm that vegetation growing on dry and high sites is particularly sensitive to CO2 changes. Here we propose that the replacement of drought-resistant alpine steppes (that are well adapted to low CO2 concentrations) by mesic Kobresia meadows can, at least, be partly interpreted as a response to the increase of CO2 concentration since 7000 years ago due to fertilization and water-saving effects. Our hypothesis is corroborated by former CO2 fertilization experiments performed on various dry grasslands and by the strong recent expansion of high-alpine meadows documented by remote sensing studies in response to recent CO2 increases. KW - Tibetan Plateau KW - Pollen KW - Holocene KW - Transfer function KW - Kobresia meadow KW - Atmospheric CO2 concentration Y1 - 2011 U6 - https://doi.org/10.1016/j.quascirev.2011.03.007 SN - 0277-3791 VL - 30 IS - 15-16 SP - 1907 EP - 1917 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - Wang, Yongbo A1 - Liu, Xingqi A1 - Herzschuh, Ulrike A1 - Yang, Xiangdong A1 - Birks, H. John B. A1 - Zhang, Enlou A1 - Tong, Guobang T1 - Temporally changing drivers for late-Holocene vegetation changes on the northern Tibetan Plateau JF - Palaeogeography, palaeoclimatology, palaeoecology : an international journal for the geo-sciences N2 - Fossil pollen records have been widely used as indicators of past changes in vegetation and variations in climate. The driving mechanisms behind these vegetation changes have, however, remained unclear. In order to evaluate vegetation changes that have occurred in the northern part of the Tibetan Plateau and the possible drivers behind these changes, we have applied a moving-window Redundancy Analysis (RDA) to high resolution (10-15 years) pollen and sedimentary data from Lake Kusai covering the last 3770 years. Our analyses reveal frequent fluctuations in the relative abundances of alpine steppe and alpine desert components. The sedimentary proxies (including total organic carbon content, total inorganic carbon content, and "end-member" indices from grain-size analyses) that explain statistically some of the changes in the pollen assemblage vary significantly with time, most probably reflecting multiple underlying driving processes. Climate appears to have had an important influence on vegetation changes when conditions were relatively wet and stable. However, a gradual decrease in vegetation cover was identified after 1500 cal a BP, after which the vegetation appears to have been affected more by extreme events such as dust-storms or fluvial erosion than by general climatic trends. Furthermore, pollen spectra over the last 600 years are shown by Procrustes analysis to be statistically different from those recovered from older samples, which we attribute to increased human impact that resulted in unprecedented changes to the vegetation composition. Overall, changes in vegetation and climate on the northern part of the Tibetan Plateau appear to have roughly followed the evolution of the Asian Summer Monsoon. After taking into account the highly significant millennial (1512 years) periodicity revealed by time-series analysis, the regional vegetation and climate changes also show variations that appear to match variations in the mid-latitude westerlies. KW - Asian Summer Monsoon KW - Late-Holocene KW - Pollen KW - Procrustes analysis KW - Redundancy analysis KW - Tibetan Plateau KW - Vegetation KW - Westerlies Y1 - 2012 U6 - https://doi.org/10.1016/j.palaeo.2012.06.022 SN - 0031-0182 VL - 353 IS - 8 SP - 10 EP - 20 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Marquer, Laurent A1 - Gaillard, Marie-Jose A1 - Sugita, Shinya A1 - Trondman, Anna-Kari A1 - Mazier, Florence A1 - Nielsen, Anne Birgitte A1 - Fyfe, Ralph M. A1 - Odgaard, Bent Vad A1 - Alenius, Teija A1 - Birks, H. John B. A1 - Bjune, Anne E. A1 - Christiansen, Jörg A1 - Dodson, John A1 - Edwards, Kevin J. A1 - Giesecke, Thomas A1 - Herzschuh, Ulrike A1 - Kangur, Mihkel A1 - Lorenz, Sebastian A1 - Poska, Anneli A1 - Schult, Manuela A1 - Seppa, Heikki T1 - Holocene changes in vegetation composition in northern Europe: why quantitative pollen-based vegetation reconstructions matter JF - Quaternary science reviews : the international multidisciplinary research and review journal N2 - We present pollen-based reconstructions of the spatio-temporal dynamics of northern European regional vegetation abundance through the Holocene. We apply the Regional Estimates of VEgetation Abundance from Large Sites (REVEALS) model using fossil pollen records from eighteen sites within five modern biomes in the region. The eighteen sites are classified into four time-trajectory types on the basis of principal components analysis of both the REVEALS-based vegetation estimates (RVs) and the pollen percentage (PPs). The four trajectory types are more clearly separated for RVs than PPs. Further, the timing of major Holocene shifts, rates of compositional change, and diversity indices (turnover and evenness) differ between RVs and PPs. The differences are due to the reduction by REVEALS of biases in fossil pollen assemblages caused by different basin size, and inter-taxonomic differences in pollen productivity and dispersal properties. For example, in comparison to the PPs, the RVs show an earlier increase in Corylus and Ulmus in the early-Holocene and a more pronounced increase in grassland and deforested areas since the mid-Holocene. The results suggest that the influence of deforestation and agricultural activities on plant composition and abundance from Neolithic times was stronger than previously inferred from PPs. Relative to PPs, RVs show a more rapid compositional change, a largest decrease in turnover, and less variable evenness in most of northern Europe since 5200 cal yr BP. All these changes are primarily related to the strong impact of human activities on the vegetation. This study demonstrates that RV-based estimates of diversity indices, timing of shifts, and rates of change in reconstructed vegetation provide new insights into the timing and magnitude of major human distribution on Holocene regional, vegetation, feature that are critical in the assessment of human impact on vegetation, land-cover, biodiversity, and climate in the past. KW - Holocene KW - Human impact KW - Northern Europe KW - Pollen KW - Quantitative regional plant abundance KW - Rate of compositional change KW - REVEALS (Regional Estimates of VEgetation KW - Abundance from Large Sites) model KW - Vegetation diversity indices Y1 - 2014 U6 - https://doi.org/10.1016/j.quascirev.2014.02.013 SN - 0277-3791 VL - 90 SP - 199 EP - 216 PB - Elsevier CY - Oxford ER -