Environmental drivers of drought deciduous phenology in the Community Land Model

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 syste...

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Main Authors: K. M. Dahlin, R. A. Fisher, P. J. Lawrence
Format: Article
Language:English
Published: Copernicus Publications 2015-08-01
Series:Biogeosciences
Online Access:http://www.biogeosciences.net/12/5061/2015/bg-12-5061-2015.pdf
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spelling doaj-1eab72cf3a024f2db4b46b7440c881d12020-11-25T00:00:42ZengCopernicus PublicationsBiogeosciences1726-41701726-41892015-08-0112165061507410.5194/bg-12-5061-2015Environmental drivers of drought deciduous phenology in the Community Land ModelK. M. Dahlin0R. A. Fisher1P. J. Lawrence2Department of Geography, Michigan State University, East Lansing, Michigan, USAClimate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, Colorado, USAClimate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, Colorado, USASeasonal 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.http://www.biogeosciences.net/12/5061/2015/bg-12-5061-2015.pdf
collection DOAJ
language English
format Article
sources DOAJ
author K. M. Dahlin
R. A. Fisher
P. J. Lawrence
spellingShingle K. M. Dahlin
R. A. Fisher
P. J. Lawrence
Environmental drivers of drought deciduous phenology in the Community Land Model
Biogeosciences
author_facet K. M. Dahlin
R. A. Fisher
P. J. Lawrence
author_sort K. M. Dahlin
title Environmental drivers of drought deciduous phenology in the Community Land Model
title_short Environmental drivers of drought deciduous phenology in the Community Land Model
title_full Environmental drivers of drought deciduous phenology in the Community Land Model
title_fullStr Environmental drivers of drought deciduous phenology in the Community Land Model
title_full_unstemmed Environmental drivers of drought deciduous phenology in the Community Land Model
title_sort environmental drivers of drought deciduous phenology in the community land model
publisher Copernicus Publications
series Biogeosciences
issn 1726-4170
1726-4189
publishDate 2015-08-01
description 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.
url http://www.biogeosciences.net/12/5061/2015/bg-12-5061-2015.pdf
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