Statistical modelling of height growth in urban forestry plantations

References

• Akbari, H. (2002). Shade trees reduce building energy use and CO2 emissions from power plants. Environmental Pollution, 116, S119–S126. https://doi.org/10.1016/S0269-7491(01)00264-0
   PubMed Web of Science ®Google Scholar
• Akbari, H., Kurn, D. M., Bretz, S. E., & Hanford, J. W. (1997). Peak power and cooling energy savings of shade trees. Energy and Buildings, 25(2), 139–148. https://doi.org/10.1016/S0378-7788(96)01003-1
   Web of Science ®Google Scholar
• Bartens, J., Day, S. D., Harris, J. R., Wynn, T. M., & Dove, J. E. (2009). Transpiration and root development of urban trees in structural soil stormwater reservoirs. Environmental Management, 44(4), 646–657. https://doi.org/10.1007/s00267-009-9366-9
   PubMed Web of Science ®Google Scholar
• Burghardt, K. T., Tallamy, D. W., & Gregory Shriver, W. (2009). Impact of native plants on bird and butterfly biodiversity in suburban landscapes. Conservation Biology: The Journal of the Society for Conservation Biology, 23(1), 219–224. https://doi.org/10.1111/j.1523-1739.2008.01076.x
   PubMed Web of Science ®Google Scholar
• Chanda, R., Singh, S. S., Singh, N. S., Upadhyay, K. K., & Tripathi, S. K. (2024). Two-decadal climate impacts on growth of major forest types of Eastern Himalaya. Trees, Forests and People, 15, 100491. https://doi.org/10.1016/j.tfp.2023.100491
   Google Scholar
• Clutter, J. L., Fortson, J. C., Pienaar, L. V., Brister, G. H., & Bailey, R. L. (1983). Timber management: A quantitative approach. John Wiley & Sons.
   Google Scholar
• Corry, R. C., Lafortezza, R., & Brown, R. D. (2011). Cultural acceptability of alternative aggregate site rehabilitations. Ecological Restoration, 29(1–2), 64–72. https://doi.org/10.3368/er.29.1-2.64
   Google Scholar
• Czaja, M., Kołton, A., & Muras, P. (2020). The complex issue of urban trees—stress factor accumulation and ecological service possibilities. Forests, 11(9), 932. https://doi.org/10.3390/f11090932
   Web of Science ®Google Scholar
• Donovan, G. H., & Butry, D. T. (2009). The value of shade: Estimating the effect of urban trees on summertime electricity use. Energy & Buildings, 41(6), 662–668. https://doi.org/10.1016/j.enbuild.2009.01.002
   Web of Science ®Google Scholar
• Escobedo, F. J., Kroeger, T., & Wagner, J. E. (2011). Urban forests and pollution mitigation: Analyzing ecosystem services and disservices. Environmental Pollution, 159(8–9), 2078–2087. https://doi.org/10.1016/j.envpol.2011.01.010
   PubMed Web of Science ®Google Scholar
• Farjat, A. E., Isik, F., Reich, B. J., Whetten, R. W., & Mckeand, S. E. (2015). Modeling climate change effects on the height growth of loblolly pine. Forest Science, 61(4), 703–715. https://doi.org/10.5849/forsci.14-075
   Web of Science ®Google Scholar
• Görgens, E. B., Montaghi, A., & Rodriguez, L. C. E. (2015). A performance comparison of machine learning methods to estimate the fast-growing forest plantation yield based on laser scanning metrics. Computers and Electronics in Agriculture, 116, 221–227. https://doi.org/10.1016/j.compag.2015.07.004
   Web of Science ®Google Scholar
• Hastie, T., Tibshirani, R., & Friedman, J. H. (2001). The elements of statistical learning: Data mining, inference, and prediction. Springer.
   Google Scholar
• Hsieh, C.-M., Li, J.-J., Zhang, L., & Schwegler, B. (2018). Effects of tree shading and transpiration on building cooling energy use. Energy and Buildings, 159, 382–397. https://doi.org/10.1016/j.enbuild.2017.10.045
   Web of Science ®Google Scholar
• Jahani, A., & Safariha, M. (2022). Tree failure prediction model (TFPM): Machine learning techniques comparison in failure hazard assessment of Platanus orientalis in urban forestry. Natural Hazards, 110(2), 881–898. https://doi.org/10.1007/s11069-021-04972-7
   Web of Science ®Google Scholar
• Jensen, D. D., & Cohen, P. R. (2000). Multiple comparisons in induction algorithms. Machine Learning, 38(3), 309–338. https://doi.org/10.1023/A:1007631014630
   Web of Science ®Google Scholar
• Lafortezza, R., & Brown, R. D. (2004). A framework for landscape ecological design of new patches in the rural landscape. Environmental Management, 34(4), 461–473. https://doi.org/10.1007/s00267-002-2009-z
   PubMed Web of Science ®Google Scholar
• Lafortezza, R., Corry, R. C., Sanesi, G., & Brown, R. D. (2008). Visual preference and ecological assessments for designed alternative brownfield rehabilitations. Journal of Environmental Management, 89(3), 257–269. https://doi.org/10.1016/j.jenvman.2007.01.063
   PubMed Web of Science ®Google Scholar
• Lafortezza, R., Sanesi, G., Pace, B., Corry, R. C., & Brown, R. D. (2004). Planning for the rehabilitation of brownfield sites: A landscape ecological perspective. In A. Donati, C. Rossi, & C. A. Brebbia (Eds), Brownfield Sites II. Assessment, Rehabilitation & development (pp. 21–30). WIT Press.
   Google Scholar
• Lazaridis, D. C., Verbesselt, J., & Robinson, A. P. (2011). Penalized regression techniques for prediction: A case study for predicting tree mortality using remotely sensed vegetation indicesThis article is one of a selection of papers from extending forest inventory and monitoring over space and time. Canadian Journal of Forest Research, 41(1), 24–34. https://doi.org/10.1139/X10-180
   Google Scholar
• Marzilianoa, P. A., Lafortezza, R., Colangelo, G., Davies, C., & Sanesi, G. (2013). Structural diversity and height growth models in urban forest plantations: A case-study in northern Italy. Urban Forestry and Urban Greening, 12(2), 246–254. https://doi.org/10.1016/j.ufug.2013.01.006
   Web of Science ®Google Scholar
• Mchale, M., Burke, I., Lefsky, M., Peper, P., & Mcpherson, E. (2009). Urban forest biomass estimates: Is it important to use allometric relationships developed specifically for urban trees? Urban Ecosystems, 12(1), 95–113. https://doi.org/10.1007/s11252-009-0081-3
   Google Scholar
• Nowak, D. J. (1994). Understanding the structure of urban forests. Journal of Forestry, 92(10), 42–46. https://doi.org/10.1093/jof/92.10.42
   Web of Science ®Google Scholar
• Nowak, D. J., Crane, D. E., & Stevens, J. C. (2006). Air pollution removal by urban trees and shrubs in the United States. Urban Forestry & Urban Greening, 4(3–4), 115–123. https://doi.org/10.1016/j.ufug.2006.01.007
   Google Scholar
• Nowak, D. J., Hirabayashi, S., Doyle, M., McGovern, M., & Pasher, J. (2018). Air pollution removal by urban forests in Canada and its effect on air quality and human health. Urban Forestry & Urban Greening, 29, 40–48. https://doi.org/10.1016/j.ufug.2017.10.019
   Web of Science ®Google Scholar
• Paris, G., Robilliard, D., & Fonlupt, C. (2004, October). Exploring overfitting in genetic programming. International Conference on Artificial Evolution, Evolution Artificielle, Ea 2003 Marseilles (pp. 267–277). DBLP, France.
   Google Scholar
• Parresol, B. R. (1999). Assessing tree and stand biomass: A review with examples and critical comparisons. Forest Science, 45(4), 573–593. https://doi.org/10.1093/forestscience/45.4.573
   Web of Science ®Google Scholar
• Peper, P., & Mcpherson, E. (1998). Comparison of five methods for estimating leaf area index of open-grown deciduous trees. Journal of Arboriculture, 24(2), 98–111. https://doi.org/10.48044/jauf.1998.013
   Google Scholar
• Pommerening, A. (2002). Approaches to quantifying forest structure. Forestry, 75(3), 305–324. https://doi.org/10.1093/forestry/75.3.305
   Web of Science ®Google Scholar
• Puplampu, D. A., & Boafo, Y. A. (2021). Exploring the impacts of urban expansion on green spaces availability and delivery of ecosystem services in the Accra metropolis. Environmental Challenges, 5, 100283. https://doi.org/10.1016/j.envc.2021.100283
   Google Scholar
• Ramaiah, M., & Avtar, R. (2019). Urban green spaces and their need in cities of rapidly urbanizing India: A Review. Urban Science, 3(3), 94. https://doi.org/10.3390/urbansci3030094
   Google Scholar
• Ransom, C. J., Kitchen, N. R., Camberato, J. J., Carter, P. R., Ferguson, R. B., Fernández, F. G., Franzen, D. W., Laboski, C. A. M., Myers, D. B., Nafziger, E.D., Shanahan, J. F., & Löf, M. (2019). Statistical and machine learning methods evaluated for incorporating soil and weather into corn nitrogen recommendations. Computers and electronics in agriculture, 164, 104872.
   Web of Science ®Google Scholar
• Richnau, G., Wiström, B., Nielsen, A. B., & Löf, M. (2012). Creation of multi-layered canopy structures in young oak-dominated urban woodlands–the ‘ecological approach’ revisited. Urban Forestry & Urban Greening, 11(2), 147–158.
   Web of Science ®Google Scholar
• Ruas, R. B., Costa, L. M. S., & Bered, F. (2022). Urbanization driving changes in plant species and communities – a global view. Global Ecology and Conservation, 38, e02243. https://doi.org/10.1016/j.gecco.2022.e02243
   Google Scholar
• Sanesi, G., Lafortezza, R., Marziliano, P. A., Ragazzi, A., & Mariani, L. (2007). Assessing the current status of urban forest resources in the context of “Parco Nord”, Milan, Italy. Landscape and Ecological Engineering, 3(2), 187–198. https://doi.org/10.1007/s11355-007-0031-2
   Google Scholar
• Semenzato, P., Cattaneo, D., & Dainese, M. (2011). Growth prediction for five tree species in an Italian urban forest. Urban Forestry and Urban Greening, 10(3), 169–176. https://doi.org/10.1016/j.ufug.2011.05.001
   Web of Science ®Google Scholar
• Shashua-Bar, L., & Hoffman, M. E. (2000). Vegetation as a climatic component in the design of an urban street. Energy and Buildings, 31(3), 221–235. https://doi.org/10.1016/S0378-7788(99)00018-3
   Web of Science ®Google Scholar
• Thammanu, S., Marod, D., Han, H., Bhusal, N., Asanok, L., Ketdee, P., Gaewsinhga, N., Lee, S., & Chung, J. (2021). The influence of environmental factors on species composition and distribution in a community forest in Northern Thailand. Journal of Forestry Research, 32(2), 649–662. https://doi.org/10.1007/s11676-020-01239-y
   Web of Science ®Google Scholar
• Troxel, B., Pianaa, M., Ashtona, M. S., & Murphy-Dunninga, C. (2013). Relationships between bole and crown size for young urban trees in the northeastern USA. Urban Forestry & Urban Greening, 12(2), 144–153. https://doi.org/10.1016/j.ufug.2013.02.006
   Web of Science ®Google Scholar
• Ying, X. (2019). An overview of overfitting and its solutions. Journal of Physics Conference Series, 1168, 022022. https://doi.org/10.1088/1742-6596/1168/2/022022
   Google Scholar