TY - JOUR
T1 - Long-term Wood Production in Water-Limited Forests
T2 - Evaluating Potential CO2 Fertilization Along with Historical Confounding Factors
AU - Madrigal-González, Jaime
AU - Hantson, Stijn
AU - Yue, Chao
AU - Poulter, Benjamin
AU - Ciais, Philippe
AU - Zavala, Miguel A.
N1 - Funding Information:
We thank Maria Bragado and José Ignacio Quintanilla (Servicio Territorial de Medioambiente de Segovia, JCyL, Spain) for their great help with the data acquisition and their support with the historical archives. We also thank Dr. Paloma Ruiz-Benito and Dr. Asier Herrero for their useful comments on a previous version of the manuscript. This study was supported by CARBO-Extreme UE-project (FP 7 ENV-2008-1-226701) and VULPINECLIM project (MINECO, CGL-2013-44553-R).
Publisher Copyright:
© 2015, Springer Science+Business Media New York.
PY - 2015/9/4
Y1 - 2015/9/4
N2 - Increased aridity may have severe effects on productivity of dry forests. However, it remains unclear to what degree the positive effects of elevated CO2 (both increased carboxylation rates and enhanced water-use efficiency) may offset the negative effects of drought and climate warming. In forest ecosystems, it is particularly challenging to evaluate CO2 effects on productivity because the impacts of climate variability, competition, and management, combine to have longlasting effects on stand-level productivity. Here we address this problem using a unique long-term database containing repeated inventories of wood biomass for every decade from 1912 to 2002 in a pine forest (Pinus pinaster Ait.) in central Spain (≈7,500 ha.). The approach is based upon a combination of statistical analyses of long-term historical management data and mechanistic modeling which allows us to evaluate the effects of potential CO2 fertilization, climate, and stand structure on woody net primary production (W-NPP). We found a significant negative effect of drought on W-NPP during the first half of the twentieth century that diminishes at the turn of the century. Simulations with a process-based ecosystem model, ORCHIDEE, suggest that wood production under conditions that included CO2 fertilization produced a more highly correlated long-term W-NPP than simulations keeping CO2 values in preindustrial levels. Interestingly, however, the CO2 effect was only apparent when accounting for confounding factors such as competition and management legacies. Identifying CO2 fertilization on forest growth is a critical issue, and requires partitioning CO2 effects from confounding factors that have jointly shaped stand dynamics and carbon balance during the twentieth century.
AB - Increased aridity may have severe effects on productivity of dry forests. However, it remains unclear to what degree the positive effects of elevated CO2 (both increased carboxylation rates and enhanced water-use efficiency) may offset the negative effects of drought and climate warming. In forest ecosystems, it is particularly challenging to evaluate CO2 effects on productivity because the impacts of climate variability, competition, and management, combine to have longlasting effects on stand-level productivity. Here we address this problem using a unique long-term database containing repeated inventories of wood biomass for every decade from 1912 to 2002 in a pine forest (Pinus pinaster Ait.) in central Spain (≈7,500 ha.). The approach is based upon a combination of statistical analyses of long-term historical management data and mechanistic modeling which allows us to evaluate the effects of potential CO2 fertilization, climate, and stand structure on woody net primary production (W-NPP). We found a significant negative effect of drought on W-NPP during the first half of the twentieth century that diminishes at the turn of the century. Simulations with a process-based ecosystem model, ORCHIDEE, suggest that wood production under conditions that included CO2 fertilization produced a more highly correlated long-term W-NPP than simulations keeping CO2 values in preindustrial levels. Interestingly, however, the CO2 effect was only apparent when accounting for confounding factors such as competition and management legacies. Identifying CO2 fertilization on forest growth is a critical issue, and requires partitioning CO2 effects from confounding factors that have jointly shaped stand dynamics and carbon balance during the twentieth century.
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U2 - 10.1007/s10021-015-9882-9
DO - 10.1007/s10021-015-9882-9
M3 - Research Article
AN - SCOPUS:84940723005
SN - 1432-9840
VL - 18
SP - 1043
EP - 1055
JO - Ecosystems
JF - Ecosystems
IS - 6
ER -