Improved CASA-Based Net Ecosystem Productivity Estimation in China by Incorporating Developmental Factors into Autumn Phenology Model

Bibliographic Details
Title: Improved CASA-Based Net Ecosystem Productivity Estimation in China by Incorporating Developmental Factors into Autumn Phenology Model
Authors: Shuping Ji, Shilong Ren, Lei Fang, Jinyue Chen, Guoqiang Wang, Qiao Wang
Source: Remote Sensing, Vol 17, Iss 3, p 487 (2025)
Publisher Information: MDPI AG, 2025.
Publication Year: 2025
Collection: LCC:Science
Subject Terms: autumn phenology, carbon sink, light use efficiency, net ecosystem productivity, phenology model, Science
More Details: Accurately assessing the carbon sink intensity of China’s ecosystem is crucial for achieving carbon neutrality. However, existing ecosystem process models have significant uncertainties in net ecosystem productivity (NEP) estimates due to the lack of or insufficient description of phenological regulation. Although plant developmental factors have been proven to significantly influence autumn phenology, they have not been systematically incorporated into autumn phenology models. In this study, we modified the autumn phenology model (cold-degree-day, CDD) by incorporating the growing-season gross primary productivity (GPP) and the start of growing season (SOS) and used it as a constraint to improve the CASA model for quantifying NEP across China from 2003 to 2021. Validation results showed that the CDD model incorporating developmental factors significantly improved the simulation accuracy at the end of the growing season (EOS). More importantly, compared with flux tower observations, the NEP derived from the improved CASA model based on the above phenology model showed a 15.34% reduction in root mean square error and a 74% increase in the coefficient of determination relative to the original model. During the study period, China’s multiyear average total NEP was 489.67 ± 38.27 Tg C/yr, with the highest found in evergreen broadleaf forests and the lowest detected in shrublands. Temporally, China’s NEP demonstrated an overall increasing trend with an average rate of 1.75 g C/m2/yr2. However, the growth rate of NEP remained far below concurrent carbon emissions from fossil fuel combustion totally, especially for eastern China, while the northeastern regions performed relatively better. The improved regional carbon flux estimation framework proposed in this study will provide important support for developing future climate change mitigation strategies.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2072-4292
Relation: https://www.mdpi.com/2072-4292/17/3/487; https://doaj.org/toc/2072-4292
DOI: 10.3390/rs17030487
Access URL: https://doaj.org/article/9c81685369a04806b79c71da262835c7
Accession Number: edsdoj.9c81685369a04806b79c71da262835c7
Database: Directory of Open Access Journals
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More Details
ISSN:20724292
DOI:10.3390/rs17030487
Published in:Remote Sensing
Language:English