PS 69-165 - Phosphorus Effects on Productivity of Tropical Ecosystems: Perspectives from a fully coupled P-C-N land ecosystem model

Thursday, August 11, 2011
Exhibit Hall 3, Austin Convention Center
Qichun Yang1, Hanqin Tian2, Chaoqun Lu2, Wei Ren2 and Xia Li3, (1)School of forestry and wildlife sciences, Auburn University, Auburn, AL, (2)International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, (3)School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL
Background/Question/Methods

Phosphorus (P) is one of the most limiting nutrients for plant growth, especially in tropical ecosystems. It plays a critical role in shaping productivity and functioning of terrestrial ecosystems by regulating photosynthesis, respiration, carbon (C) allocation and some other physiological processes. However, influences of P cycle on C and nitrogen (N) cycling have not been well addressed so far. To better understand how and to what extent P cycling interacts with C and N cycling, we incorporated P processes into a process-based land ecosystem model, Dynamic Land Ecosystem Model (DLEM). Since previous studies have demonstrated tropical and subtropical areas are mainly P-limited, we selected two low latitude ecological sites with highly weathered soils (Amazon in Brazil, Hawaii in United States ) to test the model performance. The DLEM model with both coupled and decoupled P-C-N processes was applied to the above sites to explore how model simulation results would be changed with and without considering phosphorus effects.

Results/Conclusions

Our preliminary results show that the P-C-N coupled model simulations were more consistent with field observations than the decoupled model did, e.g. annual GPP would be greatly overestimated if no P cycle was coupled in model simulations. These results suggest that it is essential to couple P processes in ecological models particularly for simulating P-deficient ecosystems. To better understand the role of P dynamics in terrestrial ecosystems and improve the coupled P-C-N model, the DLEM model will be tested with observation data from a variety of ecosystems. We will apply the improved model and newly developed regional database to investigate the dynamics of P cycle and its control over terrestrial productivity at regional level.   

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