A new method of calculating crown projection area and its comparative accuracy with conventional calculations for asymmetric tree crowns
This paper introduces a new method of calculating crown projection area (CPA), the area of level ground covered by a vertical projection of a tree crown from measured crown radii through numerical interpolation and integration. This novel method and other four existing methods of calculating CPA were compared using detailed crown radius measurements from 30 tall trees of Eucalyptus pilularis variable in crown size, shape, and asymmetry. The four existing methods included the polygonal approach and three ways of calculating CPA as the area of a circle using the arithmetic, geometric and quadratic mean radius. Comparisons were made across a sequence of eight non-consecutive numbers (from 2 to 16) of measured crown radii for each tree over the range of crown asymmetry of the 30 trees through generalized linear models and multiple comparisons of means. The sequence covered the range of the number of crown radii measured for calculating the CPA of a tree in the literature. A crown asymmetry index within the unit interval was calculated for each tree to serve as a normative measure. With a slight overestimation of 2.2% on average and an overall mean error size of 7.9% across the numbers of crown radii that were compared, our new method was the least biased and most accurate. Calculating CPA as a circle using the quadratic mean crown radius was the second best, which had an average overestimation of 4.5% and overall mean error size of 8.8%. These two methods remained by and large unbiased as crown asymmetry increased, while the other three methods showed larger bias of underestimation. For the conventional method of using the arithmetic mean crown radius to calculate CPA as a circle, bias correction factors were developed as a function of crown asymmetry index to delineate the increasing magnitude of bias associated with greater degrees of crown asymmetry. This study reveals and demonstrates such relationships between the accuracy of CPA calculations and crown asymmetry and will help increase awareness among researchers and practitioners on the existence of bias in their CPA calculations and for the need to use an unbiased method in the future. Our new method is recommended for calculating CPA where at least four crown radius measurements per tree are available because that is the minimum number required for its use.
Crown radius measurements / Interpolated crown contour / Projected crown area / Multiple comparisons of means
[1] | Alzer H (1996) A proof of the arithmetic mean-geometric mean inequality. Am Math Mon 103(7):585. https://doi.org/10.1080/00029890.1996.12004790 |
[2] | Alzer H (1997) A new refinement of the arithmetic mean-geometric mean inequality. Rocky Mt J Math 27(3):663–667 |
[3] | Arseniou G, MacFarlane DW (2021) Fractal dimension of tree crowns explains species functional-trait responses to urban environments at different scales. Ecol Appl 31(4):e02297. https://doi.org/10.1002/eap.2297 |
[4] | Bar-Ness YD, Kirkpatrick JB, McQuillan PB (2012) Crown structure differences and dynamics in 100-year-old and old-growth Eucalyptus obliqua trees. Austral for 75(2):120–129. https://doi.org/10.1080/00049158.2012.10676393 |
[5] | Bataineh M, Childs E (2021) Competition Effects on growth and crown dimensions of shortleaf and loblolly pine in mature, natural-origin, pine-hardwood mixtures of the upper west gulf coastal plain of Arkansas, USA: a neighborhood analysis. Forests 12:935. https://doi.org/10.3390/f12070935 |
[6] | Bella IE (1971) A new competition model for individual trees. For Sci 17(3):364–372. https://doi.org/10.1093/forestscience/17.3.364 |
[7] | Bi H, Bruskin S, Smith RGB (2002) The zone of influence of paddock trees and the consequent loss in volume growth in young Eucalyptus dunnii plantations. For Ecol Manage 165(1–3):305–315. https://doi.org/10.1016/S0378-1127(01)00632-6 |
[8] | Biging GS, Dobbertin M (1992) A comparison of distance-dependent competition measures for height and basal area growth of individual conifer trees. For Sci 38(3):695–720. https://doi.org/10.1093/forestscience/38.3.695 |
[9] | Biging GS, Wensel LC (1988) The effect of eccentricity on the estimation of basal area and basal area increment of coniferous trees. For Sci 34(3):621–633. https://doi.org/10.1093/forestscience/34.3.621 |
[10] | Boland DJ, Brooker MIH, Chippendale GM, Hall N, Hyland BPM, Johnston RD, Kleinig DA, McDonald MW, Turner JD (2006) Forest trees of Australia. CSIRO publishing, Clayton |
[11] | Brisson J (2001) Neighborhood competition and crown asymmetry in Acer saccharum. Can J for Res 31:2151–2159. https://doi.org/10.1139/x01-161 |
[12] | Brüchert F, Gardiner B (2006) The effect of wind exposure on the tree aerial architecture and biomechanics of Sitka spruce (Picea sitchensis, Pinaceae). Am J Bot 93(10):1512–1521. https://doi.org/10.3732/ajb.93.10.1512 |
[13] | Burkhart HE, Tomé M (2012) Modeling forest trees and stands. Springer, Netherlands. https://doi.org/10.1007/978-90-481-3170-9 |
[14] | Chemura A, van Duren I, van Leeuwen LM (2015) Determination of the age of oil palm from crown projection area detected from WorldView-2 multispectral remote sensing data: the case of Ejisu-Juaben district, Ghana. ISPRS-J Photogramm Remote Sens 100:118–127. https://doi.org/10.1016/j.isprsjprs.2014.07.013 |
[15] | Chong KM (1976) The arithmetic mean-geometric mean inequality: a new proof. Math Mag 49(2):87–88. https://doi.org/10.1080/0025570X.1976.11976547 |
[16] | Chong KM (1981) The arithmetic-geometric mean inequality: a short proof. Int J Math Educ Sci Technol 12(6):653–654. https://doi.org/10.1080/0020739810120605 |
[17] | Cole WG, Lorimer CG (1994) Predicting tree growth from crown variables in managed northern hardwood stands. For Ecol Manage 67:159–175. https://doi.org/10.1016/0378-1127(94)90014-0 |
[18] | Curtin RA (1970) Dynamics of tree and crown structure in Eucalyptus obliqua. For Sci 46(3):321–328. https://doi.org/10.1093/forestscience/16.3.321 |
[19] | Curtis RO, Marshall DD (2000) Why quadratic mean diameter? West J Appl for 15(3):137–139. https://doi.org/10.1093/wjaf/15.3.137 |
[20] | Davies O, Pommerening A (2008) The contribution of structural indices to the modelling of Sitka spruce (Picea sitchensis) and birch (Betula spp.) crowns. Forest Ecol Manag 256(1–2):68–77. https://doi.org/10.1016/j.foreco.2008.03.052 |
[21] | Dirnberger G, Sterba H, Condés S, Ammer C, Annigh?fer P, Avdagi? A, Bielak K, Brazaitis G, Coll L, Heym M, Hurt V (2017) Species proportions by area in mixtures of Scots pine (Pinus sylvestris L.) and European beech (Fagus sylvatica L.). Eur J Forest Res 136(1):171–183. https://doi.org/10.1007/s10342-016-1017-0 |
[22] | Dunham RA, Cameron AD (2000) Crown, stem and wood properties of wind-damaged and undamaged Sitka spruce. For Ecol Manage 135(1–3):73–81. https://doi.org/10.1016/S0378-1127(00)00299-1 |
[23] | Filipescu CN, Groot A, MacIsaac DA, Cruickshank MG, Stewart JD (2012) Prediction of diameter using height and crown attributes: a case study. West J Appl for 27(1):30–35. https://doi.org/10.1093/wjaf/27.1.30 |
[24] | Fitzmaurice G, Davidian M, Verbeke G, Molenberghs G (2008) Longitudinal data analysis. Taylor & Francis, Abingdon |
[25] | Fleck S, M?lder I, Jacob M, Gebauer T, Jungkunst HF, Leuschner C (2011) Comparison of conventional eight-point crown projections with LIDAR-based virtual crown projections in a temperate old-growth forest. Ann for Sci 68:1173–1185. https://doi.org/10.1007/s13595-011-0067-1 |
[26] | Florence RG (1996) Ecology and silviculture of eucalypt forests. CSIRO, Collingwood, p 413 |
[27] | Flury BA (1990) Principal points. Biometrika 77(1):33–41. https://doi.org/10.1093/biomet/77.1.33 |
[28] | Ganbaatar B, Jamsran T, Gradel A, Sukhbaatar G (2021) Assessment of the effects of thinning in Scots pine plantations in Mongolia: a comparative analysis of tree growth and crown development based on dominant trees. For Sci Technol 17:135–143. https://doi.org/10.1080/21580103.2021.1963326 |
[29] | Gao J (2021) Bias-variance decomposition of absolute errors for diagnosing regression models of continuous data. Patterns 2(8):100309. https://doi.org/10.1016/j.patter.2021.100309 |
[30] | Ghisletta P, Spini D (2004) An introduction to generalized estimating equations and an application to assess selectivity effects in a longitudinal study on very old individuals. J Educ Behav Stat 29:421–437. https://doi.org/10.3102/10769986029004421 |
[31] | Gibbons R, Hedeker D, DuToit S (2010) Advances in analysis of longitudinal data. Annu Rev Clin Psychol 6:79–107. https://doi.org/10.1146/annurev.clinpsy.032408.153550 |
[32] | Gonzalez-Benecke CA, Gezan SA, Samuelson LJ, Cropper WP, Leduc DJ, Martin TA (2014) Estimating Pinus palustris tree diameter and stem volume from tree height, crown area and stand-level parameters. J for Res 25(1):43–52. https://doi.org/10.1007/s11676-014-0427-4 |
[33] | Greene WH (1993) Econometric analysis, 2nd edn. Macmillan Publishing Company, New York, p 791 |
[34] | Hajek P, Seidel D, Leuschner C (2015) Mechanical abrasion, and not competition for light, is the dominant canopy interaction in a temperate mixed forest. Forest Ecol Manag 348:108–116. https://doi.org/10.1016/j.foreco.2015.03.019 |
[35] | Hall RJ, Wang Y, Morgan DJ (2001) Estimating tree diameter and volume with a taper model and large-scale photo measurements. North J Appl for 18(4):110–118. https://doi.org/10.1093/njaf/18.4.110 |
[36] | Huber N, Bugmann H, Lafond V (2020) Capturing ecological processes in dynamic forest models: why there is no silver bullet to cope with complexity. Ecosphere 11(5):e03109. https://doi.org/10.1002/ecs2.3109 |
[37] | Jacobs MR (1955) Growth habits of the Eucalypts. Forestry and Timber Bureau, Department of the Interior, Commonwealth Government of Australia, Canberra, p 262 |
[38] | James GM (2003) Variance and bias for general loss functions. Mach Learn 51(2):115–135. https://doi.org/10.1023/A:1022899518027 |
[39] | Jennings SB, Brown ND, Sheil D (1999) Assessing forest canopies and understorey illumination: canopy closure, canopy cover and other measures. Forestry 72(1):59–74. https://doi.org/10.1093/forestry/72.1.59 |
[40] | Kaluarachichi TUN, Tjoelker MG, Pfautsch S (2020) Temperature reduction in urban surface materials through tree shading depends on surface type not tree species. Forests 11(11):1141. https://doi.org/10.3390/f11111141 |
[41] | Kinny M, McElhinny C, Smith G (2012) The effect of gap size on growth and species composition of 15-year-old regrowth in mixed blackbutt forests. Austral for 75(1):3–15 |
[42] | Kong F, Bi H, McLean M, Li F (2021) Comparative performances of new and existing indices of crown asymmetry: an evaluation using tall trees of Eucalyptus pilularis (Smith). J for Res 32(1):43–65. https://doi.org/10.1007/s11676-020-01180-0 |
[43] | Krajnc L, Farrelly N, Harte AM (2019) The influence of crown and stem characteristics on timber quality in softwoods. For Ecol Manage 435:8–17. https://doi.org/10.1016/j.foreco.2018.12.043 |
[44] | Kuyah S, Muthuri C, Jamnadass R, Mwangi P, Neufeldt H, Dietz J (2012) Crown area allometries for estimation of aboveground tree biomass in agricultural landscapes of western Kenya. Agrofor Syst 86(2):267–277. https://doi.org/10.1007/s10457-012-9529-1 |
[45] | Lang AC, H?rdtle W, Bruelheide H, Gei?ler C, Nadrowski K, Schuldt A, Yu M, von Oheimb G (2010) Tree morphology responds to neighbourhood competition and slope in species-rich forests of subtropical China. For Ecol Manage 260(10):1708–1715. https://doi.org/10.1016/j.foreco.2010.08.015 |
[46] | Larson PR (1963) Stem form development of forest trees. For Sci 9(suppl_2):a0001-42. https://doi.org/10.1093/forestscience/9.s2.a0001 |
[47] | Laubhann D, Eckmüllner O, Sterba H (2010) Applicability of non-destructive substitutes for leaf area in different stands of Norway spruce (Picea abies L. Karst.) focusing on traditional forest crown measures. For Ecol Manag 260(9):1498–1506. https://doi.org/10.1016/j.foreco.2010.07.048 |
[48] | Lehtpere R (1962) The crown expansion of Japanese larch after heavy thinning. Forestry 33(2):140–148. https://doi.org/10.1093/forestry/33.2.140 |
[49] | Leites LP, Robinson AP (2004) Improving taper equations of loblolly pine with crown dimensions in a mixed-effects modeling framework. For Sci 50(2):204–212. https://doi.org/10.1093/forestscience/50.2.204 |
[50] | Liang K, Zeger S (1986) Longitudinal data analysis using generalized linear models. Biometrika 73:13–22. https://doi.org/10.1093/biomet/73.1.13 |
[51] | Lida SI, Wheeler KI, Nanko K, Shinohara Y, Sun X, Sakai N, Levia DF (2021) Canopy structure metrics governing stemflow funnelling differ between leafed and leafless states: insights from a large-scale rainfall simulator. Hydrol Process 35(8):e14294. https://doi.org/10.1002/hyp.14294 |
[52] | Lin W, Meng Y, Qiu Z, Zhang S, Wu J (2017) Measurement and calculation of crown projection area and crown volume of individual trees based on 3D laser-scanned point-cloud data. Int J Remote Sens 38(4):1083–1100. https://doi.org/10.1080/01431161.2016.1265690 |
[53] | Mackowski CM (1987) Wildlife hollows and timber management in blackbutt forest. Unpublished MSc thesis. University of New England, Armidale, Australia |
[54] | Mancl L, DeRouen T (2001) A covariance estimator for GEE with improved small-sample properties. Biometrics 57:126–134. https://doi.org/10.1111/j.0006-341X.2001.00126.x |
[55] | Matsuo T, Martínez-Ramos M, Bongers F, van der Sande MT, Poorter L (2021) Forest structure drives changes in light heterogeneity during tropical secondary forest succession. J Ecol 109(8):2871–2884. https://doi.org/10.1111/1365-2745.13680 |
[56] | McTague JP, Weiskittel A (2021) Evolution, history, and use of stem taper equations: a review of their development, application, and implementation. Can J for Res 51(2):210–235. https://doi.org/10.1139/cjfr-2020-0326 |
[57] | Meng SX, Rudnicki M, Lieffers VJ, Reid DE, Silins U (2006) Preventing crown collisions increases the crown cover and leaf area of maturing lodgepole pine. J Ecol 94(3):681–686 |
[58] | Miranda-Fuentes A, Llorens J, Gamarra-Diezma J, Gil-Ribes J, Gil E (2015) Towards an optimized method of olive tree crown volume measurement. Sensors 15:3671–3687. https://doi.org/10.3390/s150203671 |
[59] | Moler CB (2004) Numerical computing with MATLAB. SIAM, Philadelphia, p 2004 |
[60] | Moser A, R?tzer T, Pauleit S, Pretzsch H (2015) Structure and ecosystem services of small-leaved lime (Tilia cordata Mill.) and black locust (Robinia pseudoacacia L.) in urban environments. Urban for Urban Green 14(4):1110–1121. https://doi.org/10.1016/j.ufug.2015.10.005 |
[61] | Myers RH (1990) Classical and modern regression with applications. PWS-KENT Publishing Company, Boston, p 488 |
[62] | Opie JE (1968) Predictability of individual tree growth using various definitions of competing basal area. For Sci 14(3):314–323. https://doi.org/10.1093/forestscience/14.3.314 |
[63] | Oyarzún CE, Godoy R, Staelens J, Donoso PJ, Verhoest NE (2011) Seasonal and annual throughfall and stemflow in Andean temperate rainforests. Hydrol Process 25(4):623–633. https://doi.org/10.1002/hyp.7850 |
[64] | Pérez-Cruzado C, Kleinn C, Magdon P, álvarez-González JG, Magnussen S, Fehrmann L, N?lke N (2021) The horizontal distribution of branch biomass in European beech: a model based on measurements and TLS based proxies. Remote Sens 13(5):1041. https://doi.org/10.3390/rs13051041 |
[65] | Pfautsch S, Peri PL, Macfarlane C, van Ogtrop F, Adams MA (2014) Relating water use to morphology and environment of Nothofagus from the world’s most southern forests. Trees 28(1):125–136. https://doi.org/10.1007/s00468-013-0935-4 |
[66] | Philip SM (1994) Measuring trees and forest. CAB International, UK |
[67] | Pretzsch H (2009) Forest dynamics, growth, and yield. Springer, Heidelberg, p 664 |
[68] | Pretzsch H (2014) Canopy space filling and tree crown morphology in mixed-species stands compared with monocultures. For Ecol Manage 327:251–264. https://doi.org/10.1016/j.foreco.2014.04.027 |
[69] | Pretzsch H (2019) The effect of tree crown allometry on community dynamics in mixed-species stands versus monocultures. a review and perspectives for modeling and silvicultural regulation. Forests 10(9):810. https://doi.org/10.3390/f10090810 |
[70] | Pretzsch H, Biber P, Uhl E, Dahlhausen J, R?tzer T, Caldentey J, Koike T, van Con T, Chavanne A, Seifert T, du Toit B, Farnden C, Pauleit S (2015) Crown size and growing space requirement of common tree species in urban centres, parks, and forests. Urban Urban Green 14:466–479. https://doi.org/10.1016/j.ufug.2015.04.006 |
[71] | Pretzsch H, Steckel M, Heym M, Biber P, Ammer C, Ehbrecht M, Bielak K, Bravo F, Ordó?ez C, Collet C, Vast F (2020) Stand growth and structure of mixed-species and monospecific stands of Scots pine (Pinus sylvestris L.) and oak (Q. robur L., Quercus petraea (Matt.) Liebl.) analysed along a productivity gradient through Europe. Eur J for Res 139(3):349–367. https://doi.org/10.1007/s10342-019-01233-y |
[72] | Rahman MA, Moser A, R?tzer T, Pauleit S (2019) Comparing the transpirational and shading effects of two contrasting urban tree species. Urban Ecosyst 22(4):683–697. https://doi.org/10.1007/s11252-019-00853-x |
[73] | Randolph KC (2010) Comparison of the arithmetic and geometric means in estimating crown diameter and crown cross-sectional area. South J Appl for 34:186–189. https://doi.org/10.1093/sjaf/34.4.186 |
[74] | Ritter T, Nothdurft A (2018) Automatic assessment of crown projection area on single trees and stand-level, based on three-dimensional point clouds derived from terrestrial laser-scanning. Forests 9:237. https://doi.org/10.3390/f9050237 |
[75] | Rudnicki M, Silins U, Lieffers VJ (2004) Crown cover is correlated with relative density, tree slenderness, and tree height in lodgepole pine. For Sci 50(3):356–363. https://doi.org/10.1093/forestscience/50.3.356 |
[76] | Ruiz-Peinado R, Pretzsch H, L?f M, Heym M, Bielak K, Aldea J, Barbeito I, Brazaitis G, Dr?ssler L, Godvod K, Granhus A (2021) Mixing effects on Scots pine (Pinus sylvestris L.) and Norway spruce (Picea abies (L.) Karst.) productivity along a climatic gradient across Europe. For Ecol Manage 482:118834. https://doi.org/10.1016/j.foreco.2020.118834 |
[77] | Sadono R (2014) Determining growing space of perhutani’s teak plus plantation in Madiun, Saradan and Ngawi Forest District, East Java. Indonesia Aust J Basic Appl Sci 8(10):427–437 |
[78] | Satterlund DR, Haupt HF (1967) Snow catch by conifer crowns. Water Resour Res 3(4):1035–1039. https://doi.org/10.1029/WR003i004p01035 |
[79] | Schwaiger F, Poschenrieder W, Biber P, Pretzsch H (2018) Species mixing regulation with respect to forest ecosystem service provision. Forests 9(10):632. https://doi.org/10.3390/f9100632 |
[80] | Shaw JD (2003) Models for Estimation and Simulation of Crown and Canopy Cover. In: Proceedings of the fifth annual forest inventory and analysis symposium, New Orleans, LA, USA, 2003 November 18–20; U.S. Department of Agriculture Forest Service, Washington, DC, USA pp 183–191 |
[81] | Sillett SC, Goslin MN (1999) Distribution of epiphytic macrolichens in relation to remnant trees in a multiple-age Douglas-fir forest. Can J for Res 29(8):1204–1215. https://doi.org/10.1139/x99-081 |
[82] | Skovsgaard JP (2004) Forest measurements. Encycl for Sci 2:550–566 |
[83] | Smith WR, Farrar RM Jr, Murphy PA, Yeiser JL, Meldahl RS, Kush JS (1992) Crown and basal area relationships of open-grown southern pines for modeling competition and growth. Can J for Res 22(3):341–347. https://doi.org/10.1139/x92-044 |
[84] | Sprinz PT, Burkhart HE (1987) Relationships between tree crown, stem, and stand characteristics in unthinned loblolly pine plantations. Can J for Res 17:534–538. https://doi.org/10.1139/x87-089 |
[85] | ?tefan?ík I (2017) Crown development of beech crop trees under different thinning regimes. J for Sci-Prague 63(4):173–181. https://doi.org/10.17221/117/2016-jfs |
[86] | Teste FP, Lieffers VJ (2011) Snow damage in lodgepole pine stands brought into thinning and fertilization regimes. For Ecol Manage 261(11):2096–2104. https://doi.org/10.1016/j.foreco.2011.03.003 |
[87] | Vanderwel MC, Lopez EL, Sprott AH, Khayyatkhoshnevis P, Shovon TA (2020) Using aerial canopy data from UAVs to measure the effects of neighbourhood competition on individual tree growth. For Ecol Manage 461:117949. https://doi.org/10.1016/j.foreco.2020.117949 |
[88] | Verma NK, Lamb DW, Reid N, Wilson B (2014) An allometric model for estimating DBH of isolated and clustered Eucalyptus trees from measurements of crown projection area. For Ecol Manage 326:125–132. https://doi.org/10.1016/j.foreco.2014.04.003 |
[89] | Wackerly DD, Mendenhall W, Scheaffer RL (1996) Mathematical statistics with applications. Duxbury Press, Belmont, p 798 |
[90] | Wang YP, Jarvis PG (1990) Influence of crown structural properties on PAR absorption, photosynthesis, and transpiration in Sitka spruce: application of a model (MAESTRO). Tree Physiol. https://doi.org/10.1093/treephys/7.1-2-3-4.297 |
[91] | Wilkinson G, Rogers C (1973) Symbolic description of factorial models for analysis of variance. Appl Stat-J R Stat Soc 22:392–399. https://doi.org/10.2307/2346786 |
[92] | Wooldridge GL, Musselman RC, Sommerfeld RA, Fox DG, Connell BH (1996) Mean wind patterns and snow depths in an alpine-subalpine ecosystem as measured by damage to coniferous trees. J Appl Ecol 33:100–108. https://doi.org/10.2307/2405019 |
[93] | Workie TG (2017) Estimating forest above-ground carbon using object-based analysis of very high spatial resolution satellite images. Afr J Environ Sci Technol 11(12):587–600. https://doi.org/10.5897/AJEST2017.2358 |
[94] | Wyckoff PH, Clark JS (2005) Tree growth prediction using size and exposed crown area. Can J for Res 35(1):13–20. https://doi.org/10.1139/x04-142 |
[95] | Xu WH, Su ZF, Feng ZK, Xu H, Jiao YQ, Yan F (2013) Comparison of conventional measurement and LiDAR-based measurement for crown structures. Comput Electron Agric 98:242–251. https://doi.org/10.1016/j.compag.2013.08.015 |
[96] | Zeger S, Liang K (1986) Longitudinal data analysis for discrete and continuous outcomes. Biometrics 42:121–130. https://doi.org/10.2307/2531248 |
[97] | Zeide B (1993) Primary unit of the tree crown. Ecology 74(5):1598–1602. https://doi.org/10.2307/1940088 |
[98] | Zhang D, Samal A, Brandle JR (2007) A method for estimating fractal dimension of tree crowns from digital images. Int J Pattern Recognit Artif Intell 21(03):561–572. https://doi.org/10.1142/S0218001407005090 |
[99] | Zhang Y, Li Y, Bi H (2015) Converting diameter measurements of Pinus radiata taken at different breast heights. Austral for 78(1):45–49. https://doi.org/10.1080/00049158.2015.1029426 |
[100] | Zhu J, Wang X, Chen J, Huang H, Yang X (2014) Estimating fractal dimensions of tree crowns in 3-D space based on structural relationships. For Chron 90(2):177–183. https://doi.org/10.5558/tfc2014-035 |
[101] | Zhu Z, Kleinn C, N?lke N (2021) Assessing tree crown volume—a review. Forestry 94(1):18–35. https://doi.org/10.1093/forestry/cpaa037 |
[102] | Zorn C (2001) Generalized estimating equation models for correlated data: a review with applications. Am J Polit Sci 45:470–490. https://doi.org/10.2307/2669353 |
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