The fusion of multiple scale data indicates that the carbon sink function of the Qinghai-Tibet Plateau is substantial.

ABSTRACT:

Background

The Qinghai-Tibet Plateau is the "sensitive area" of climate change, and also the "driver" and "amplifier" of global change. The response and feedback of its carbon dynamics to climate change will significantly affect the content of greenhouse gases in the atmosphere. However, due to the unique geographical environment characteristics of the Qinghai-Tibet Plateau, there is still much controversy about its carbon source and sink estimation results. This study designed a new algorithm based on machine learning to improve the accuracy of carbon source and sink estimation by integrating multiple scale carbon input (net primary productivity, NPP) and output (soil heterotrophic respiration, Rh) information from remote sensing and ground observations. Then, we compared spatial

SUBMITTER: Zeng J 

PROVIDER: S-EPMC10494389 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature