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Modeling to discern nitrogen fertilization impacts on carbon sequestration in a Pacific Northwest Douglas-fir forest in the first-postfertilization year
- Source :
- Global Change Biology. 17:1442-1460
- Publication Year :
- 2011
- Publisher :
- Wiley, 2011.
-
Abstract
- This study investigated how nitrogen (N) fertilization with 200 kg N ha � 1 of urea affected ecosystem carbon (C) sequestration in the first-postfertilization year in a Pacific Northwest Douglas-fir (Pseudotsuga menziesii) stand on the basis of multiyear eddy-covariance (EC) and soil-chamber measurements before and after fertilization in combination with ecosystem modeling. The approach uses a data-model fusion technique which encompasses both model parameter optimization and data assimilation and minimizes the effects of interannual climatic perturbations and focuses on the biotic and abiotic factors controlling seasonal C fluxes using a prefertilization 9-year-long time series of EC data (1998–2006). A process-based ecosystem model was optimized using the half-hourly data measured during 1998–2005, and the optimized model was validated using measurements made in 2006 and further applied to predict C fluxes for 2007 assuming the stand was not fertilized. The N fertilization effects on C sequestration were then obtained as differences between modeled (unfertilized stand) and EC or soil-chamber measured (fertilized stand) C component fluxes. Results indicate that annual net ecosystem productivity in the first-post-N fertilization year increased by � 83%, from 302 � 19 to 552 � 36 g m � 2 yr � 1 , which resulted primarily from an increase in annual gross primary productivity of � 8%, from 1938 � 22 to 2095 � 29 g m � 2 yr � 1 concurrent with a decrease in annual ecosystem respiration (Re )o f� 5.7%, from 1636 � 17 to 1543 � 31 g m � 2 yr � 1 . Moreover, with respect to respiration, model results showed that the fertilizer-induced reduction in Re (� 93 g m � 2 yr � 1 ) principally resulted from the decrease in soil respiration Rs (� 62 g m � 2 yr � 1 ).
Details
- ISSN :
- 13541013
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Global Change Biology
- Accession number :
- edsair.doi...........f07da1ffa2b2270c25005bd4a451ed0c
- Full Text :
- https://doi.org/10.1111/j.1365-2486.2010.02298.x