High-resolution quantitative vegetation reconstruction in the North China Plain during the early-to-middle Holocene using the REVEALS model

Li, Bing; Zhang, Wensheng; Fyfe, Ralph; Fan, Baoshuo; Wang, Sai; Xu, Qinghai; Zhang, Nan; Ding, Guoqiang; Yang, Jiaxing; Li, Yuecong

doi:10.1016/j.catena.2023.107577

Cited by 5 publications

(6 citation statements)

References 75 publications

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“…Increases in forest cover in northern and eastern Asia up until the Holocene thermal maximum as seen in our results are consistent with reconstructions by Cao et al (2019) and Tian et al (2016). The reconstructed spatial patterns of forest cover in China with low forest cover in the North China plain and the Tibetan Plateau and a higher forest cover along the east coast and the south agree with previous reconstructions as well (Li et al, 2023(Li et al, , 2022b(Li et al, , 2024a. Results for European forest cover also roughly correspond with previous REVEALS applications and show an increase of forest cover after the last glacial maximum until roughly 4 ka BP (Githumbi et al, 2021;Fyfe et al, 2015;Serge et al, 2023).…”

Section: Dataset Applications and Limitationssupporting

confidence: 92%

“…This makes the application of REVEALS on larger scales particularly challenging. Only some (sub-) continental REVEALS reconstructions are available for Europe (Trondman et al, 2015;Roberts et al, 2018;Githumbi et al, 2021;Serge et al, 2023), Asia (Cao et al, 2019;Li et al, 2022bLi et al, , 2023Li et al, , 2024a, and North America (Dawson et al, 2018). Currently, no global quantitative vegetation cover reconstructions using REVEALS exist.…”

Section: Introductionmentioning

confidence: 99%

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LegacyVegetation 1.0: Global reconstruction of vegetation composition and forest cover from pollen archives of the last 50 ka

Schild,

Ewald,

et al. 2024

Preprint

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Abstract. With rapid anthropogenic climate change future vegetation trajectories are uncertain. Climate-vegetation models can be useful for predictions but need extensive data on past vegetation for validation and improving systemic understanding. Even though pollen data provide a great source of this information, the data is compositionally biased due to differences in taxon-specific relative pollen productivity (RPP) and dispersal. Here we reconstructed quantitative regional vegetation cover from a global sedimentary pollen data set for the last 50 ka using the REVEALS model to correct for taxon- and basin-specific biases. In a first reconstruction, we used previously published, continental RPP values. For a second reconstruction, we statistically optimized RPP values for common taxa with the goal of improving the fit of reconstructed forest cover from modern pollen samples with remote sensing forest cover. The data sets include taxonomic compositions as well as reconstructed forest cover for each original pollen sample. Relative pollen sources areas were also calculated and are included in the data set of the original REVEALS run. Additional metadata includes modeled ages, age model sources, basin locations, types and sizes. The improvements in forest cover reconstructions with the REVEALS reconstruction using original/optimized parameters range from 1/0 % (Australia and Oceania/Australia and Oceania) to 58/65 % (Europe/North America) relative to the mean absolute error (MAE) in the pollen-based reconstruction. Optimizations were considerably more successful in reducing MAE when more records and RPP estimates were available. The optimizations were purely statistical and only partly ecologically informed and should, therefore, be used with caution depending on the study matter. This improved quantitative reconstruction of vegetation cover is invaluable for the investigation of past vegetation dynamics and modern model validation. By collecting more RPP estimates for taxa in the Southern Hemisphere and adding more records to existing pollen data syntheses, reconstructions may be improved even further. Both reconstructions are freely available on PANGAEA (see Data availability section).

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Section: Dataset Applications and Limitationssupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

LegacyVegetation 1.0: Global reconstruction of vegetation composition and forest cover from pollen archives of the last 50 ka

Schild,

Ewald,

et al. 2024

Preprint

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“…We used the REVEALS model via the "disqover" package (version 0.9.09) [31] in R software (version 4.3.2) [32] to determine the relative pollen production (RPPs) across different plant taxa. The REVEAL model has been widely applied for the estimates of past regional plant abundance using fossil pollen records [9,33].…”

Section: The Reveals Modelmentioning

confidence: 99%

“…The Holocene, directly preceding the Anthropocene, is a key period for understanding past vegetation dynamics and the interaction between vegetation and climate [8,9]. It witnessed rapid warming after the Younger Dryas [10,11], and a series of centennialscale cooling or drought events such as the 8.2 and 4.2 ka BP events [12][13][14], as well as a warm period with temperatures higher than today during the early-middle Holocene [8].…”

Section: Introductionmentioning

confidence: 99%

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Holocene Vegetation Dynamics Revealed by a High-Resolution Pollen Record from Lake Yangzonghai in Central Yunnan, SW China

Wang,

Sun,

Meng

et al. 2024

Land

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Long-term regional vegetation dynamics is essential for the understanding of past land cover changes. High-resolution pollen analysis of a 1020 cm core from a large lake, Lake Yangzonghai (YZH), in central Yunnan, SW China, was conducted to reveal regional vegetation dynamics in the lake catchment over the past 13,400 years. Pollen record, principal component analysis (PCA) of pollen percentages of major arboreal taxa, and plant abundances estimated from the “Regional Estimates of VEgetation Abundance from Large Sites” (REVEALS) model show five successional stages of vegetation dynamics since 13,400 cal. a BP: regional vegetation with high coverages in the lateglacial (13,400–11,400 cal. a BP) was dominated by evergreen broadleaved forest (EBF) and deciduous broadleaved forest (DBF), together with some grass meadows and marshes; pine forest and alder forest expanded in the early Holocene (11,400–9000 cal. a BP) when vegetation coverages were still high; regional vegetation with low coverages was dominated by sweetgum forest, together with some pine forest during the mid-Holocene (9000–4200 cal. a BP); more pine forest, grass meadows and marshes occupied the lake catchment during the late Holocene (4200–800 cal. a BP), when vegetation coverages were higher than the average of the past 13,400 years; regional vegetation with low coverage was dominated by grass meadows and marshes, great deforestation happened in the last 800 years. Regional vegetation dynamics over the past 13,400 years in the Lake YZH catchment was the result of regional vegetation response to climate changes during the lateglacial and early–mid Holocene, and to human activities mainly during the late Holocene.

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Sedimentary evidence for the diversion of the Yellow River onto the North China Plain 3000–2600 years ago

Du,

Zhang,

et al. 2024

Palaeogeography, Palaeoclimatology, Palaeoecology

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High-resolution quantitative vegetation reconstruction in the North China Plain during the early-to-middle Holocene using the REVEALS model

Cited by 5 publications

References 75 publications

LegacyVegetation 1.0: Global reconstruction of vegetation composition and forest cover from pollen archives of the last 50 ka

LegacyVegetation 1.0: Global reconstruction of vegetation composition and forest cover from pollen archives of the last 50 ka

Holocene Vegetation Dynamics Revealed by a High-Resolution Pollen Record from Lake Yangzonghai in Central Yunnan, SW China

Sedimentary evidence for the diversion of the Yellow River onto the North China Plain 3000–2600 years ago

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