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Abstract

Eucalyptus has become a major plantation crop in southern China, with a carbon sequestration capacity significantly higher than that of other species. However, its long-term carbon sequestration capacity and regional-scale potential remain highly uncertain due to commonly applied short-rotation management practices. The InTEC (Integrated Terrestrial Ecosystem Carbon) model is a process-based biogeochemical model that simulates carbon dynamics in terrestrial ecosystems by integrating physiological processes, environmental drivers, and management practices. In this study, the InTEC model was enhanced with an optimized eucalyptus module (InTECeuc) and a data assimilation module (InTECDA), and driven by multiple remote sensing products (Net Primary Productivity (NPP) and carbon density) to simulate the carbon budgets of eucalyptus plantations from 2003 to 2023. The results indicated notable improvements in the performance of the InTECeuc model when driven by different datasets: carbon density simulation showed improvements in R2 (0.07–0.56), reductions in MAE (5.99–28.51 Mg C ha−1), reductions in RMSE (8.1–31.85 Mg C ha−1), and improvements in rRMSE (12.37–51.82%), excluding NPPLin. The carbon density-driven InTECeuc model outperformed the NPP-driven model, with improvements in R2 (0.28), MAE (−8.15 Mg C ha−1), RMSE (−9.43 Mg C ha−1), and rRMSE (−15.34%). When the InTECDA model was employed, R2 values for carbon density improved by 0–0.03 (excluding ACDYan), with MAE reductions between 0.17 and 7.22 Mg C ha−1, RMSE reductions between 0.33 and 12.94 Mg C ha−1 and rRMSE improvements ranging from 0.51 to 20.22%. The carbon density-driven InTECDA model enabled the production of high-resolution and accurate carbon budget estimates for eucalyptus plantations from 2003 to 2023, with average NPP, Net Ecosystem Productivity (NEP), and Net Biome Productivity (NBP) values of 17.80, 10.09, and 9.32 Mg C ha−1 yr−1, respectively, offering scientific insights and technical support for the management of eucalyptus plantations in alignment with carbon neutrality targets.

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1009240
Business indexing term
Location
Taxonomic term
Title
An Improved InTEC Model for Estimating the Carbon Budgets in Eucalyptus Plantations
Author
Li, Zhipeng 1 ; Zhou, Mingxing 1 ; Luo Kunfa 2 ; Wu Yunzhong 2 ; Li Dengqiu 1 

 Fujian Provincial Key Laboratory for Subtropical Resources and Environment, Fujian Normal University, Fuzhou 350117, China; [email protected] (Z.L.); [email protected] (M.Z.), Institute of Geography, Fujian Normal University, Fuzhou 350007, China 
 Yuanling State Forestry Farm, Yunxiao County, Zhangzhou 363300, China 
Publication title
Volume
17
Issue
15
First page
2741
Number of pages
25
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
20724292
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-08-07
Milestone dates
2025-06-16 (Received); 2025-08-04 (Accepted)
Publication history
 
 
   First posting date
07 Aug 2025
ProQuest document ID
3239080204
Document URL
https://www.proquest.com/scholarly-journals/improved-intec-model-estimating-carbon-budgets/docview/3239080204/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-08-13
Database
ProQuest One Academic