Estimating Carbon Stock in Olea europaea L. using Logarithmic Nonlinear Seemingly Unrelated Regression
Researchers at Southwest Forestry University have developed a model to estimate the carbon stock (CS) of Olea europaea L., a species of high economic and ecological value, in plantations. The study utilized a logarithmic nonlinear seemingly unrelated regression (LNSUR) method to construct an independent estimation model of CS, as well as a compatibility model of Olea europaea L. unitary and binary CS. The research found that the LNSUR model improved the accuracy of the belowground CS model more significantly, with an R^2 of 0.787 and a smaller RMSE of 0.241-0.418.
Key Takeaways:
- Researchers developed an independent estimation model of Olea europaea L. CS using a nonlinear metric error approach, resulting in an R^2 of 0.909 for aboveground CS and 0.686 for belowground CS.
- The compatibility model of Olea europaea L. unitary and binary CS addressed the issue of component sums not equaling the total, with a low RMSE of 1.918.
- The LNSUR model improved the accuracy of the belowground CS model, with an R^2 of 0.787 and a smaller RMSE of 0.241-0.418.
- The study estimated the whole-plant CS of Olea europaea L. in 15 sample plots using the CS independent model and the LNSUR model, with an R^2 of 0.964.
- The research provides a scientific and technological basis for the monitoring of Olea europaea L.'s economic and ecological value indicators, such as yield and carbon sink capacity.
Statistics:
- The independent model of aboveground CS (AGCS) was C = 0.0014D^1.92876^H^0.67174 (R^2 = 0.909).
- The independent model of belowground CS (BGCS) was C = 0.00723D^1.23578^H^0.48553 (R^2 = 0.686).
- The LNSUR model improved the accuracy of the BGCS model more significantly (R^2 = 0.787) and had a smaller RMSE of 0.241-0.418.
- The estimated total CS was also smaller (RMSE = 0.241-0.418).
Sources:
- NewsRx LLC (2025) South West Forestry University Researchers Target Agronomy (Modeling Whole-Plant Carbon Stock in * * Olea europaea* * L. Plantations Using Logarithmic Nonlinear Seemingly Unrelated Regression). Ecology, Environment & Conservation. May 16, 2025; p 1294.
- Agronomy, 2025, 15(4), 917. doi: 10.3390/agronomy15040917.