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@ARTICLE{Chen:1026326,
      author       = {Chen, Hao and Rahmati, Mehdi and Montzka, Carsten and Gao,
                      Huiran and Vereecken, Harry},
      title        = {{S}oil physicochemical properties explain land use/cover
                      histories in the last sixty years in {C}hina},
      journal      = {Geoderma},
      volume       = {446},
      issn         = {0016-7061},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2024-03377},
      pages        = {116908 -},
      year         = {2024},
      abstract     = {Enhancing our comprehension of soil processes and their
                      impact on Earth requires precise quantification of
                      human-induced soil alterations, particularly those related
                      to land use/cover (LUC) histories. Thoroughly validated LUC
                      and soil maps specific to China, and an explainable
                      machine-learning approach were applied to reveal how soil
                      physicochemical properties, independently or in combination,
                      explain LUC histories in the last sixty years. Validation
                      using historical data showed that the proposed
                      machine-learning models can adequately simulate the pattern
                      of LUC histories. Nonlinear mappings of various soil
                      properties in explaining LUC histories were demonstrated and
                      critical thresholds for changes in the explanatory
                      capacities of each soil property to specific LUC histories
                      were identified. Specifically, physical soil properties,
                      except for soil pH, particularly soil thickness, clay
                      content, bulk density, and coarse fragments, play
                      significant roles in explaining the historical trajectories
                      of forests, croplands, and pasture/rangelands than chemical
                      soil properties. Predicted LUC changes suggest more
                      intensive dynamics that are characterized by expansions in
                      forest and pasture/rangeland areas, coupled with a reduction
                      in cropland areas. Overall, improving understanding of the
                      bidirectional links between soil and LUC changes is a
                      crucial and imperative step towards refining the
                      representation of soils in Earth system models.},
      cin          = {IBG-3},
      ddc          = {910},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2173},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001242614000001},
      doi          = {10.1016/j.geoderma.2024.116908},
      url          = {https://juser.fz-juelich.de/record/1026326},
}