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Volume 12, issue 16
Biogeosciences, 12, 5061–5074, 2015
https://doi.org/10.5194/bg-12-5061-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Biogeosciences, 12, 5061–5074, 2015
https://doi.org/10.5194/bg-12-5061-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 26 Aug 2015

Research article | 26 Aug 2015

Environmental drivers of drought deciduous phenology in the Community Land Model

K. M. Dahlin1,2, R. A. Fisher2, and P. J. Lawrence2 K. M. Dahlin et al.
  • 1Department of Geography, Michigan State University, East Lansing, Michigan, USA
  • 2Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, Colorado, USA

Abstract. Seasonal changes in plant leaf area have a substantial impact on global climate. The presence of leaves and the time when they appear affect surface roughness and albedo, and the gas exchange occurring between leaves and the atmosphere affects carbon dioxide concentrations and the global water system. Thus, correct predictions of plant phenological processes are important for understanding the present and future states of the Earth system. Here we compare plant phenology as estimated in the Community Land Model (CLM) to that derived from satellites in drought deciduous regions of the world. We reveal a subtle but important issue in the CLM: anomalous green-up during the dry season in many semi-arid parts of the world owing to rapid upwards water movement from wet to dry soil layers. We develop and implement a solution for this problem by introducing an additional criterion of minimum cumulative rainfall to the leaf-out trigger in the drought deciduous algorithm. We discuss some of the broader ecological impacts of this change and highlight some of the further steps that need to be taken to fully incorporate this change into the CLM framework.

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We compared monthly leaf area index (LAI) estimates from the Community Land Model (CLM) in stress/drought deciduous regions of the world to a satellite-derived estimate of LAI. This comparison revealed an issue in the CLM in which leaves begin to grow during the dry season due to unrealistic soil water movement. We introduced a rainfall trigger to the stress deciduous algorithm to address this issue, then showed the impacts of this change on the fire cycle and stored carbon.
We compared monthly leaf area index (LAI) estimates from the Community Land Model (CLM) in...
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