Comparative statistical analysis in determining leaf area based on leaf parameters – Case study on poplar
DOI:
https://doi.org/10.59463/zafnrf13Keywords:
Comparative analysis, Dunn’s post hoc, Kruskal-Wallis, leaf area, leaf parameters, poplarAbstract
The study comparatively analyzed the leaf area of poplar leaves, determined by analyzing scanned images and based on leaf parameters. Leaf length (L), leaf width (W) and leaf perimeter (Per) were foliar parameters used to determine leaf area by regression analysis. A collection of leaf samples, 150 leaves, was used in the study. Correlation analysis identified a positive correlation, of very high intensity, between foliar parameters and leaf area (r = 0.946 to r = 0.978), in conditions of statistical safety (p<0.001). By quadratic regression analysis, leaf area was obtained based on foliar parameters, considered two by two in different combinations, with p<0.001. The level of fit between scanned leaf area (LA) and leaf area based on leaf parameters was described by linear equations, with R2 = 0.943 to R2 = 0.989, p<0.001. Comparative analysis of the data series for measured leaf area and that determined based on leaf parameters showed decisive evidence for equality of means (Anova Test), and median values (Kruskal-Wallis test). Dunn's post hoc test confirmed non-significant differences in the comparative analysis of leaf area values determined based on leaf parameters and by analyzing scanned images.
References
Ankaya, F. (2025), Relationships between leaf structural and functional traits of urban landscape plant species: Implications for sustainable landscape planning. BMC Plant Biology, 25(1), 1300.
Brant, V., Krofta, K., Zábranský, P., Hamouz, P., Procházka, P., Dreksler, J., Kroulík, M., & Fritschová, G. (2025), Relationship between dynamics of plant biometric parameters and leaf area index of hop (Humulus lupulus L.) plants. Agronomy, 15(4), 823.
Brasil, S.N.R., de Carvalho, C.E., de Araujo, F.S., & Loiola, M.I.B. (2025), Leaf traits as predictors of climatic adaptation and distributional range in wide- and narrow-range species. Flora, 326, 152708.
Carvalho, J.O., Toebe, M., Tartaglia, F.L., Bandeira, C.T., & Tambara, A.L. (2017), Leaf area estimation from linear measurements in different ages of Crotalaria juncea plants. Annals of the Brazilian Academy of Sciences, 89(3), 1851-1868.
Cândea-Crăciun, V.-C., Rujescu, C., Camen, D., Manea, D., Nicolin, A.L., & Sala, F. (2018), Non-destructive method for determining the leaf area of the energetic poplar. AgroLife Scientific Journal, 7(2), 22-30.
Da Silva, K.G.F., da Silva Maciel, L.M., Villela, S.M., Pedrini, H., Morais, L.E., & Vieira, M.B. (2025), Non-destructive leaf area estimation based on a semantic segmentation deep neural network. Computers and Electronics in Agriculture, 237(Part A), 110551.
Duan, X., Jia, Z., Li, J., & Wu, S. (2022), The influencing factors of leaf functional traits variation of Pinus densiflora Sieb. et Zucc. Global Ecology and Conservation, 38, e02177.
Gong, H., Yang, M., Wang, C., & Tian, C. (2023), Leaf phenotypic variation and its response to environmental factors in natural populations of Eucommia ulmoides. BMC Plant Biology, 23, 562.
Hai, X., Shangguan, Z., Peng, C., & Deng, L. (2023), Leaf trait responses to global change factors in terrestrial ecosystems. Science of The Total Environment, 898, 165572.
Hammer, Ø., Harper, D.A.T., & Ryan, P.D. (2001), PAST: Paleontological Statistics software package for education and data analysis. Palaeontologia Electronica, 4(1), 1-9.
He, J., Reddy, G.V.P., Liu, M., & Shi, P. (2020), A general formula for calculating surface area of the similarly shaped leaves: Evidence from six Magnoliaceae species. Global Ecology and Conservation, 23, e01129.
He, K., Ratkowsky, D.A., Fu, P., Yao, W., Lian, M., Chen, L., & Shi, P. (2024), Variation of leaf shape with tree size: A case study using Camptotheca acuminata Decne. Frontiers in Plant Science, 15, 1468483.
Huaccha-Castillo, A.E., Fernandez-Zarate, F.H., Pérez-Delgado, L.J., Tantalean-Osores, K.S., Vaca-Marquina, S.P., Sanchez-Santillan, T., Morales-Rojas, E., Seminario-Cunya, A., & Quiñones-Huatangari, L. (2023), Non-destructive estimation of leaf area and leaf weight of Cinchona officinalis L. (Rubiaceae) based on linear models. Forest Science and Technology, 19(1), 59-67.
Huang, W., Su, X., Ratkowsky, D.A., Niklas, K.J., Gielis, J., Shi, P. (2019), The scaling relationships of leaf biomass vs. leaf surface area of 12 bamboo species. Global Ecology and Conservation, 20,e00793.
JASP, Team (2022), JASP (Version 0.16.2) [Computer software].
Kendall, R.A., Goud, E.M., Davidson, S.J., Balliston, N., Estey, C., Gauthier, T.-L., Kleinke, K., Rutlangd, A., & Strack, M. (2025), Intraspecific trait variability in four geographically widespread peatland plant species in Canada. Flora, 330, 152797.
Koyama, K., & Smith, D.D. (2022), Scaling the leaf length-times-width equation to predict total leaf area of shoots. Annals of Botany, 130(2), 215-230.
Koyama, K. (2023), Leaf area estimation by photographing leaves sandwiched between transparent clear file folder sheets. Horticulturae, 9(6), 709.
Li, Q., Wen, J., Zhao, C.Z., Zhao, L.C., & Ke, D. (2022), The relationship between the main leaf traits and photosynthetic physiological characteristics of Phragmites australis under different habitats of a salt marsh in Qinwangchuan, China. AoB Plants, 14(6), plac054.
Li, M., Liao, Y., Lu, Z., Sun, M., & Lai, H. (2023), Non-destructive monitoring method for leaf area of Brassica napus based on image processing and deep learning. Frontiers in Plant Science, 14, 1163700.
Li, R., Cheng, X., Dai, P., Zhang, M., Li, M., Chen, J., Hassan, W., & Wang, Y. (2025). Plant architectural structure and leaf trait responses to environmental change: A meta-analysis. Plants, 14(11), 1717.
Ma, J., Niklas, K.J., Liu, L., Fang, Z., Li, Y., & Shi, P. (2022), Tree size influences leaf shape but does not affect the proportional relationship between leaf area and the product of length and width. Frontiers in Plant Science, 13, 850203.
Momayyezi, M., Rippner, D.A., Duong, F.V., Raja, P.V., Brown, P.J., Kluepfel, D.A., Earles, J.M., Forrestel, E.J., Gilbert, M.E., & McElrone, A.J. (2022), Structural and functional leaf diversity lead to variability in photosynthetic capacity across a range of Juglans regia genotypes. Plant, Cell & Environment, 45(8), 2351-2365.
Nakanwagi, M.J., Sseremba, G., Kabod, N.P., Masanza, M., & Kizito, E.B. (2018), Accuracy of using leaf blade length and leaf blade width measurements to calculate the leaf area of Solanum aethiopicum Shum group. Heliyon, 4(12), e01093.
Nakayama, H. (2024), Leaf form diversity and evolution: a never-ending story in plant biology. Journal of Plant Research, 137, 547-560.
Navarro, T., & Hidalgo-Triana, N. (2021), Variations in leaf traits modulate plant vegetative and reproductive phenological sequencing across arid mediterranean shrublands. Frontiers in Plant Science, 12, 708367.
Rasband, W.S. (1997), ImageJ. U. S. National Institutes of Health, Bethesda,Maryland, USA, 1997-2014.
Roth-Nebelsick, A., & Krause M. (2023), The plant leaf: a biomimetic resource for multifunctional and economic design. Biomimetics (Basel), 8(2), 145.
Sala, F., Iordanescu, O., Dobrei, A. (2017), Fractal analysis as a tool for pomology studies: Case study in apple. AgroLife Scientific Journal, 6(1), 223-233.
Schrader, J., Shi, P., Royer, D.L., Peppe, D.J., Gallagher, R.V., Li, Y., Wang, R., & Wright, I.J. (2021), Leaf size estimation based on leaf length, width and shape. Annals of Botany, 128(4), 395-406.
Shi, P., Liu, M., Yu, X., Gielis, J., & Ratkowsky, D.A. (2019), Proportional relationship between leaf area and the product of leaf length and width of four types of special leaf shapes. Forests, 10(2), 178.
Shi, P.J., Li, Y.R., Niinemets, Ü., Olson, E., & Schrader, J. (2021), Influence of leaf shape on the scaling of leaf surface area and length in bamboo plants. Trees, 35, 709-715.
Wang, H., Wang, R., Harrison, S.P., & Prentice, I.C. (2022), Leaf morphological traits as adaptations to multiple climate gradients. Journal of Ecology, 110(6), 1344-1355.
Wang, Z., Huang, H., Wang, H., Peñuelas, J., Sardans, J., Niinemets, Ü., Niklas, K.J., Li, Y., Xie, J., & Wright, I.J. (2022), Leaf water content contributes to global leaf trait relationships. Nature Communications, 13, 5525.
Wolfram Research, Inc., Mathematica, Version 14.2, Champaign, IL (2024).
Xing, Y., Deng, S., Bai, Y., Wu, Z., & Luo, J. (2024), Leaf functional traits and their influencing factors in six typical vegetation communities. Plants, 13(17), 2423.
Yu, X., Hui, C., Sandhu, H.S., Lin, Z., & Shi, P. (2019), Scaling relationships between leaf shape and area of 12 Rosaceae species. Symmetry, 11(10), 1255.
Yu, X., Shi, P., Schrader, J., & Niklas, K.J. (2020), Nondestructive estimation of leaf area for 15 species of vines with different leaf shapes. American Journal of Botany, 107, 1481-1490.
Zhang, H., Wang, L., Jin, X., Bian, L., & Ge, Y. (2023), High-throughput phenotyping of plant leaf morphological, physiological, and biochemical traits on multiple scales using optical sensing. The Crop Journal, 11(5), 1303-1318.
