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

Autor: Sarkar A; Department of Earth and Climate Science, Indian Institute of Science Education and Research Pune, Pune, India., Das P; Department of Geography, Savitribai Phule Pune University, Pune, India., Mukherjee S; GB Pant National Institute of Himalayan Environment, Almora, India., Deb Burman PK; Centre for Climate Change Research, Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune, India. pramit.cat@tropmet.res.in.; Department of Atmospheric and Space Sciences, Savitribai Phule Pune University, Pune, India. pramit.cat@tropmet.res.in.; Department of Environmental Science, Savitribai Phule Pune University, Pune, India. pramit.cat@tropmet.res.in., Chakraborty S; Department of Atmospheric and Space Sciences, Savitribai Phule Pune University, Pune, India. supriyo@tropmet.res.in.
Jazyk: angličtina
Zdroj: International journal of biometeorology [Int J Biometeorol] 2024 Oct 30. Date of Electronic Publication: 2024 Oct 30.
DOI: 10.1007/s00484-024-02799-y
Abstrakt: Terrestrial ecosystems are one of the major sinks of atmospheric CO 2 and play a key role in climate change mitigation. Forest ecosystems offset nearly 25% of the global annual CO 2 emissions, and a large part of this is stored in the aboveground woody biomass. Several studies have focused on understanding the carbon sequestration processes in forest ecosystems and their response to climate change using the eddy covariance (EC) technique and remotely sensed vegetation indices. However, very few of them address the linkage of tree-ring growth with the ecosystem-atmosphere carbon exchange, and nearly none have tested this linkage over a long-term (> 100 years) - limited by the short-term (< 50 years) availability of measured ecosystem carbon flux. Nevertheless, tree-ring indices can potentially act as proxies for ecosystem productivity. We utilise the Coupled Climate Carbon Cycle Model Intercomparison Project (C4MIP) model outputs for its 140-year-long simulated records of mean monthly gross primary productivity (GPP) and compare them with the tree-ring growth indices over the northwestern Himalayan region in India. In this study, we examine three coniferous tree species: Pinus roxburghii and Picea smithiana wall. Boiss and Cedrus deodara and find that the strength of the correlation between GPP and tree ring growth indices (RWI) varies among the species.
(© 2024. The Author(s) under exclusive licence to International Society of Biometeorology.)
Databáze: MEDLINE
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