Future Considerations
Due to the questionable results in comparing the 2005 and 2021 datasets, different analysis or accompanying analysis techniques should be considered. Additionally, increasing the number of classes and creating classes that may be present in 2021 can assist in spreading out the prediction values.
The next steps will be to:
•Reduce or change metrics
•Try alternative prediction methods (e.g Random Forest)
•Create regressions for individual metrics
•Increase the number of classes
•Merge infestation and succession
•Use inventoried plots (small training data)
The next steps will be to:
•Reduce or change metrics
•Try alternative prediction methods (e.g Random Forest)
•Create regressions for individual metrics
•Increase the number of classes
•Merge infestation and succession
•Use inventoried plots (small training data)
References
Almeida, D. R. A., Stark, S. C., Valbuena, R., Broadbent, E. N., Silva, T. S. F., Resende, A. F., … Brancalion, P. H. S. (2019). A new era in forest restoration monitoring. Restoration Ecology, 28, 8–11.
Almeida, D. R. A., Stark, S. C., Chazdon, R., Nelson, B. W., Cesar, R. G., Meli, P., … Brancalion, P. H. S. (2019). The effectiveness of lidar remote sensing for monitoring forest cover attributes and landscape restoration. Forest Ecology and Management, 438, 34–43. https://doi. org/10.1016/j.foreco.2019.02.002
Calvo-Alvarado, J., Jiménez, V., Calvo-Obando, A., & Castillo, M. (2019). Current perspectives on forest recovery trends in Guanacaste, Costa Rica. International Forestry Review, 21, 425–431. https://doi. org/10.1505/146554819827906825
Caughlin, T. T., Rifai, S. W., Graves, S. J., Asner, G. P., & Bohlman, S. A. (2016). Integrating LiDAR-derived tree height and Landsat satellite reflectance to estimate forest regrowth in a tropical agricultural landscape. Remote Sensing in Ecology and Conservation, 2, 190–203. https://doi.org/10.1002/rse2.33
Chazdon, R. L. (2014). Second growth: The promise of tropical forest regeneration in an age of deforestation. Chicago, USA: University of Chicago Press.
Chazdon, R. L. (2017). Landscape restoration, natural regeneration, and the forests of the future. Annals of the Missouri Botanical Garden, 102, 251–257. https://doi.org/10.3417/2016035
Montgomery, R. A., & Chazdon, R. L. (2001). Forest structure, canopy architecture, and light transmittance in tropical wet forests. Ecology, 82, 2707–2718. https://doi.org/10.1890/0012-9658(2001)082[270 7:FSCAAL]2.0.CO;2
Ruiz-Jaen, M. C., & Potvin, C. (2011). Can we predict carbon stocks in tropical ecosystems from tree diversity? Comparing species and functional diversity in a plantation and a natural forest. The New Phytologist,189, 978–987. https://doi.org/10.1111/j.1469-8137.2010.03501.x
Almeida, D. R. A., Stark, S. C., Chazdon, R., Nelson, B. W., Cesar, R. G., Meli, P., … Brancalion, P. H. S. (2019). The effectiveness of lidar remote sensing for monitoring forest cover attributes and landscape restoration. Forest Ecology and Management, 438, 34–43. https://doi. org/10.1016/j.foreco.2019.02.002
Calvo-Alvarado, J., Jiménez, V., Calvo-Obando, A., & Castillo, M. (2019). Current perspectives on forest recovery trends in Guanacaste, Costa Rica. International Forestry Review, 21, 425–431. https://doi. org/10.1505/146554819827906825
Caughlin, T. T., Rifai, S. W., Graves, S. J., Asner, G. P., & Bohlman, S. A. (2016). Integrating LiDAR-derived tree height and Landsat satellite reflectance to estimate forest regrowth in a tropical agricultural landscape. Remote Sensing in Ecology and Conservation, 2, 190–203. https://doi.org/10.1002/rse2.33
Chazdon, R. L. (2014). Second growth: The promise of tropical forest regeneration in an age of deforestation. Chicago, USA: University of Chicago Press.
Chazdon, R. L. (2017). Landscape restoration, natural regeneration, and the forests of the future. Annals of the Missouri Botanical Garden, 102, 251–257. https://doi.org/10.3417/2016035
Montgomery, R. A., & Chazdon, R. L. (2001). Forest structure, canopy architecture, and light transmittance in tropical wet forests. Ecology, 82, 2707–2718. https://doi.org/10.1890/0012-9658(2001)082[270 7:FSCAAL]2.0.CO;2
Ruiz-Jaen, M. C., & Potvin, C. (2011). Can we predict carbon stocks in tropical ecosystems from tree diversity? Comparing species and functional diversity in a plantation and a natural forest. The New Phytologist,189, 978–987. https://doi.org/10.1111/j.1469-8137.2010.03501.x
