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Anthropogenic impacts on Holocene fluvial dynamics in the Chinese Loess Plateau, an evaluation based on landscape evolution modeling

  • Hao Chen
  • , Xianyan Wang*
  • , Huayu Lu
  • , Ronald Van Balen
  • *Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

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Abstract

The Yellow River catchment in central China is one of the cradles of Chinese civilization. Since the mid-Holocene, the runoff and erosion in this area, which includes the Chinese Loess Plateau, have been affected by anthropogenic land cover changes (ALCC) and Asian monsoon climatic changes. We applied the reconstructions of Holocene climate (temperature, precipitation, insolation and CO2 concentration) and KK10 land cover change scenarios, to determine the evolution of discharge and sediment flux in the Beiluo River in the Chinese Loess Plateau using the Landlab landscape evolution model combined with a module that considers the impact of vegetation on water balance and soil erodibility. The modeling results show that climate change and ALCC resulted in large fluctuations of both discharge and sediment fluxes since the mid-Holocene. For the evolution of discharge, climate change is the dominant controlling factor, and land-use change has a secondary effect. Comparison of results of modeling scenario's with and without land-use change shows that it contributes less than 5% to changes of runoff during the time period before 1000 BCE. However, the impact of land-use change is significant for sediment load, especially since 5000 BCE. Thus, our results provide evidence for a much earlier start of the human impact on soil erosion and fluvial processes compared to earlier studies. Our modeling also shows that the incorporation of eco-hydrological processes in landscape evolution modeling is important for the accurate simulation of runoff and discharge in response to climate and land-use change, at least in a semi-arid environment.

Original languageEnglish
Article number107935
Pages (from-to)1-16
Number of pages16
JournalGeomorphology
Volume392
Early online date31 Aug 2021
DOIs
Publication statusPublished - 1 Nov 2021

Bibliographical note

Funding Information:
We thank Professor Jed O Kaplan for the data for the KK10 scenario, the data can be accessed at https://doi.pangaea.de/10.1594/PANGAEA.871369 . The documentation of the Landlab can be found at https://landlab.readthedocs.io/ and the newest version of the software are archived at https://doi.org/10.5281/zenodo.3647556 and https://doi.org/10.5281/zenodo.3644240 . The source of Biome-BGC model can be accessed at http://www.ntsg.umt.edu . This research is supported by the National Natural Science Foundation of China ( 42021001 , 41971005 ), Second Tibetan Plateau Scientific Expedition Program ( 2019QZKK0205 ). The output of different simulations and calculations can be downloaded here: https://doi.org/10.5281/zenodo.4364223 . The authors thank two anonymous reviewers and editor (Dr. Scott A. Lecce) for their constructive suggestions.

Publisher Copyright:
© 2021 Elsevier B.V.

Funding

We thank Professor Jed O Kaplan for the data for the KK10 scenario, the data can be accessed at https://doi.pangaea.de/10.1594/PANGAEA.871369 . The documentation of the Landlab can be found at https://landlab.readthedocs.io/ and the newest version of the software are archived at https://doi.org/10.5281/zenodo.3647556 and https://doi.org/10.5281/zenodo.3644240 . The source of Biome-BGC model can be accessed at http://www.ntsg.umt.edu . This research is supported by the National Natural Science Foundation of China ( 42021001 , 41971005 ), Second Tibetan Plateau Scientific Expedition Program ( 2019QZKK0205 ). The output of different simulations and calculations can be downloaded here: https://doi.org/10.5281/zenodo.4364223 . The authors thank two anonymous reviewers and editor (Dr. Scott A. Lecce) for their constructive suggestions.

FundersFunder number
National Natural Science Foundation of China2019QZKK0205, 42021001, 41971005
National Natural Science Foundation of China

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 13 - Climate Action
      SDG 13 Climate Action

    Keywords

    • Anthropocene
    • Anthropogenic land cover change
    • Central China
    • Climate change
    • Landscape evolution modeling
    • Soil erosion

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