---
res:
  bibo_abstract:
  - Accurate assessment of erosion rates remains an elusive problem because soil loss
    is strongly nonunique with respect to the main drivers. In addressing the mechanistic
    causes of erosion responses, we discriminate between macroscale effects of external
    factors—long studied and referred to as “geomorphic external variability”, and
    microscale effects, introduced as “geomorphic internal variability.” The latter
    source of erosion variations represents the knowledge gap, an overlooked but vital
    element of geomorphic response, significantly impacting the low predictability
    skill of deterministic models at field-catchment scales. This is corroborated
    with experiments using a comprehensive physical model that dynamically updates
    the soil mass and particle composition. As complete knowledge of microscale conditions
    for arbitrary location and time is infeasible, we propose that new predictive
    frameworks of soil erosion should embed stochastic components in deterministic
    assessments of external and internal types of geomorphic variability.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Jongho
      foaf_name: Kim, Jongho
      foaf_surname: Kim
  - foaf_Person:
      foaf_givenName: Valeriy Y.
      foaf_name: Ivanov, Valeriy Y.
      foaf_surname: Ivanov
  - foaf_Person:
      foaf_givenName: Simone
      foaf_name: Fatichi, Simone
      foaf_surname: Fatichi
      foaf_workInfoHomepage: http://www.librecat.org/personId=cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  bibo_doi: 10.1002/2016gl071480
  bibo_issue: '24'
  bibo_volume: 43
  dct_date: 2016^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/0094-8276
  - http://id.crossref.org/issn/1944-8007
  dct_language: eng
  dct_publisher: American Geophysical Union@
  dct_title: Soil erosion assessment—Mind the gap@
...