---
res:
  bibo_abstract:
  - 'The coarse‐grained spatial representation of many terrestrial ecosystem models
    hampers the importance of local‐scale heterogeneities. To address this issue,
    we combine a range of observations (forest inventories, eddy flux tower data,
    and remote sensing products) and modeling approaches with contrasting degrees
    of abstraction. The following models are selected: (i) Lund‐Potsdam‐Jena (LPJ),
    a well‐established, area‐based, dynamic global vegetation model (DGVM); (ii) LPJ‐General
    Ecosystem Simulator, a hybrid, individual‐based approach that additionally considers
    plant population dynamics in greater detail; and (iii) distributed in space‐LPJ,
    a spatially explicit version of LPJ, operating at a fine spatial resolution (100 m × 100 m),
    which uses an enhanced hydrological representation accounting for lateral connectivity
    of surface and subsurface water fluxes. By comparing model simulations with a
    multivariate data set available at the catchment scale, we argue that (i) local
    environmental and topographic attributes that are often ignored or crudely represented
    in DGVM applications exert a strong control on terrestrial ecosystem response;
    (ii) the assumption of steady state vegetation and soil carbon pools at the beginning
    of simulation studies (e.g., under “current conditions”), as embedded in many
    DGVM applications, is in contradiction with the current state of many forests
    that are often out of equilibrium; and (iii) model evaluation against vegetation
    carbon fluxes does not imply an accurate simulation of vegetation carbon stocks.
    Having gained insights about the magnitude of aggregation‐induced biases due to
    smoothing of spatial variability at the catchment scale, we discuss the implications
    of our findings with respect to the global‐scale modeling studies of carbon cycle
    and we illustrate alternative ways forward.@eng'
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Christoforos
      foaf_name: Pappas, Christoforos
      foaf_surname: Pappas
  - foaf_Person:
      foaf_givenName: Simone
      foaf_name: Fatichi, Simone
      foaf_surname: Fatichi
      foaf_workInfoHomepage: http://www.librecat.org/personId=cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  - foaf_Person:
      foaf_givenName: Stefan
      foaf_name: Rimkus, Stefan
      foaf_surname: Rimkus
  - foaf_Person:
      foaf_givenName: Paolo
      foaf_name: Burlando, Paolo
      foaf_surname: Burlando
  - foaf_Person:
      foaf_givenName: Markus O.
      foaf_name: Huber, Markus O.
      foaf_surname: Huber
  bibo_doi: 10.1002/2014jg002735
  bibo_issue: '2'
  bibo_volume: 120
  dct_date: 2015^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/2169-8953
  - http://id.crossref.org/issn/2169-8961
  dct_language: eng
  dct_publisher: American Geophysical Union@
  dct_title: The role of local‐scale heterogeneities in terrestrial ecosystem modeling@
...