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| Titel |
Individual based simulations of forest production across Amazonia constrained with inventory data |
| VerfasserIn |
Nikolaos Fyllas, Emanuel Gloor, Lina Mercado, Timothy Baker, Stephen Sitch, Yadvinder Malhi, Oliver Phillips, Jon Lloyd |
| Konferenz |
EGU General Assembly 2011
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 13 (2011) |
| Datensatznummer |
250056080
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| Zusammenfassung |
| Large scale patterns of forest productivity and turnover rates have been documented across Amazonia, with ecosystems at the western part of the basin showing a greater dynamism. Different hypotheses have been put forward to explain these patterns summarising the control of growing conditions (climatic and edaphic) as well as the biogeographic distribution of tree species within Amazonia. Additionally various vegetation models have been used to reconstruct these patterns with a varying degree of success. This study uses a new individual-based model (Trait-Based simulator, TRB) highly constrained with forest inventory data, to test the role of stand structure and site growing conditions to control forest productivity.
TRB is applied at 6 Neotropical forest sites, characterised by discrete climatic and edaphic conditions. Inventory data provide tree by tree information of stand structure. The tree by tree distribution of a set of functional characters such as specific leaf area (SLA), leaf nutrient (N&P) concentrations and wood density (WD) are also known at the stand level, and are used to constrain properties such as photosynthetic carbon gain and carbon allocation.
The initial validation of TRB showed better prediction of stand level Gross Primary productivity (GPP) and Net Primary Productivity (NPP) compared with big leaf models at the same sites. Furthermore, simulated tree by tree growth is in agreement with individual level (field) growth data. A set of simulation exercises is used to explore the way changing growing conditions and stand structure yield discrete patterns of forest production. |
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