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Evaluating tree-ring proxies for representing the ecosystem productivity in India.

Aharna Sarkar1, Pinaki Das2, Sandipan Mukherjee3

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Forest ecosystems store significant carbon. This study links long-term tree-ring data with simulated carbon uptake, revealing species-specific correlations crucial for climate change research.

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Area of Science:

  • Ecology
  • Climate Science
  • Forestry

Background:

  • Terrestrial ecosystems, particularly forests, are vital carbon sinks, mitigating climate change by absorbing atmospheric CO2.
  • Forest carbon sequestration is largely stored in woody biomass, with studies often using eddy covariance (EC) and remote sensing for analysis.
  • Long-term ecosystem carbon flux data is limited, hindering the study of historical carbon sequestration using proxies like tree rings.

Purpose of the Study:

  • To investigate the long-term linkage between ecosystem-atmosphere carbon exchange and tree-ring growth.
  • To compare simulated gross primary productivity (GPP) with tree-ring indices over a 140-year period.
  • To assess species-specific correlations in the northwestern Himalayan region.

Main Methods:

  • Utilized Coupled Climate Carbon Cycle Model Intercomparison Project (C4MIP) model outputs for simulated gross primary productivity (GPP).
  • Compared 140-year GPP records with tree-ring growth indices (RWI) from three coniferous species in the northwestern Himalayas.
  • Analyzed the correlation strength between GPP and RWI for Pinus roxburghii, Picea smithiana, and Cedrus deodara.

Main Results:

  • Established a long-term linkage between simulated ecosystem GPP and tree-ring growth indices.
  • Found that the correlation between GPP and RWI varied significantly among the studied coniferous tree species.
  • Highlighted the potential of tree-ring indices as proxies for historical ecosystem productivity.

Conclusions:

  • Tree-ring indices offer a valuable proxy for reconstructing long-term ecosystem productivity and carbon sequestration.
  • Species-specific responses underscore the complexity of forest carbon dynamics in response to climate drivers.
  • This research provides a foundation for improved climate change impact assessments in forest ecosystems.