Research progress in calculating net community production of marine ecosystem by remote sensing

Frontiers in Marine Science

Marine Science

Hao Zheng¹  Yingqi Wang¹  Di Wu¹  Kui Wang²  Yan Bai³ 

[1] Ocean College, Zhejiang University, Zhoushan, China;Ocean College, Zhejiang University, Zhoushan, China;Donghai Laboratory, Zhoushan, China;State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China;

关键词: remote sensing;    net community production;    carbon export efficiency;    biological pump;    net primary production;   

DOI  :  10.3389/fmars.2023.1191013

 received in 2023-03-21, accepted in 2023-05-16,  发布年份 2023

来源: Frontiers

【 摘 要 】

Net community production (NCP) is defined as the difference between gross primary production (GPP) and total community respiration (R). NCP indicates the balance between the production and consumption of community organic carbon, therefore making it a key parameter for evaluating the efficiency of carbon sequestration using the biological pump (BP). It is difficult to quantify NCP directly via satellite, because there are complex processes in community production and respiration. We reviewed previous research on satellite-based NCP and classified the methods into two primary categories: empirical methods and semi-analytical methods. The former category was established based on numerical relationships between NCP and satellite-based proxies, while the latter was developed by utilizing mechanistic analysis to establish quantitative expressions linking NCP to such proxies. Although satellite-based calculations of NCP have been attempted, they still suffer from significant uncertainties. Future research should focus on the precise calculation of satellite-based NCP by investigating the underlying processes and mechanisms that regulate NCP, developing regional models, and increasing the resolution of satellite sensors, as well as applying satellite lidar and coordinated multi-sensor observation technology.

【 授权许可】

Unknown   
Copyright © 2023 Wang, Wang, Bai, Wu and Zheng