Cremers, G. Presence of 10 models of plant architecture in Euphorbes-Malgaches. Comptes Rendus Hebd. des. Seances de. L Academie des. Sci. Ser. D. 281, 1575–1578 (1975).
Balduzzi, M. et al. Reshaping plant biology: qualitative and quantitative descriptors for plant morphology. Front. Plant Sci. 8, 117 (2017).
Google Scholar
Albert, C. H. et al. A multi-trait approach reveals the structure and the relative importance of intra- vs. interspecific variability in plant traits. Funct. Ecol. 24, 1192–1201 (2010).
Google Scholar
Farnsworth, K. D. & Niklas, K. J. Theories of optimization, form and function in branching architecture in plants. Funct. Ecol. 9, 355–363 (1995).
Google Scholar
Enquist, B. J. et al. in Advances in Ecological Research (eds Pawar, S.et al.), 249–318 (Academic Press, 2015).
Niklas, K. J. & Spatz, H. C. Allometric theory and the mechanical stability of large trees: proof and conjecture. Am. J. Bot. 93, 824–828 (2006).
Google Scholar
Price, C. A. et al. The metabolic theory of ecology: prospects and challenges for plant biology. N. Phytol. 188, 696–710 (2010).
Google Scholar
Martone, P. T. et al. Mechanics without muscle: biomechanical inspiration from the plant world. Integr. Comp. Biol. 50, 888–907 (2010).
Google Scholar
West, G. B. & Brown, J. H. The origin of allometric scaling laws in biology from genomes to ecosystems: towards a quantitative unifying theory of biological structure and organization. J. Exp. Biol. 208, 1575–1592 (2005).
Google Scholar
Enquist, B. J. Universal scaling in tree and vascular plant allometry: toward a general quantitative theory linking plant form and function from cells to ecosystems. Tree Physiol. 22, 1045–1064 (2002).
Google Scholar
Anfodillo, T. et al. An allometry-based approach for understanding forest structure, predicting tree-size distribution and assessing the degree of disturbance. Proc. R. Soc. Lond. B Biol. Sci. 280, 20122375 (2013).
Duncanson, L. I., Dubayah, R. O. & Enquist, B. J. Assessing the general patterns of forest structure: quantifying tree and forest allometric scaling relationships in the United States. Glob. Ecol. Biogeogr. 24, 1465–1475 (2015).
Google Scholar
West, G. B., Brown, J. H. & Enquist, B. J. The fourth dimension of life: Fractal geometry and allometric scaling of organisms. Science 284, 1677–1679 (1999).
Google Scholar
Winter, C. L. & Tartakovsky, D. M. Theoretical foundation for conductivity scaling. Geophys. Res. Lett. 28, 4367–4369 (2001).
Google Scholar
Reich, P. B. et al. Universal scaling of respiratory metabolism, size and nitrogen in plants. Nature 439, 457–461 (2006).
Google Scholar
Choi, S. et al. Application of the metabolic scaling theory and water–energy balance equation to model large‐scale patterns of maximum forest canopy height. Glob. Ecol. Biogeogr. 25, 1428–1442 (2016).
Google Scholar
Osler, G. H. R., West, P. W. & Downes, G. M. Effects of bending stress on taper and growth of stems of young Eucalyptus regnans trees. Trees 10, 239–246 (1996).
Berthier, S. et al. Irregular heartwood formation in maritime pine (Pinus pinaster Ait): consequences for biomechanical and hydraulic tree functioning. Ann. Bot. 87, 19–25 (2001).
Google Scholar
Fournier, M. et al. Integrative biomechanics for tree ecology: beyond wood density and strength. J. Exp. Bot. 64, 4793–4815 (2013).
Google Scholar
Sone, K., Noguchi, K. & Terashima, I. Dependency of branch diameter growth in young Acer trees on light availability and shoot elongation. Tree Physiol. 25, 39–48 (2005).
Google Scholar
Anten, N. P. & Schieving, F. The role of wood mass density and mechanical constraints in the economy of tree architecture. Am. Nat. 175, 250–260 (2010).
Google Scholar
Jelonek, T. et al. The biomechanical formation of trees (Prace Naukowe, Doniesienia, Komunikaty, 2019).
Muller‐Landau, H. C. et al. Testing metabolic ecology theory for allometric scaling of tree size, growth and mortality in tropical forests. Ecol. Lett. 9, 575–588 (2006).
Google Scholar
McMahon, T. A. & Kronauer, R. E. Tree structures: deducing the principle of mechanical design. J. Theor. Biol. 59, 443–466 (1976).
Google Scholar
Alméras, T. & Fournier, M. Biomechanical design and long-term stability of trees: morphological and wood traits involved in the balance between weight increase and the gravitropic reaction. J. Theor. Biol. 256, 370–381 (2009).
Google Scholar
West, G. B., Brown, J. H. & Enquist, B. J. A general model for the origin of allometric scaling laws in biology. Science 276, 122–126 (1997).
Google Scholar
Mäkelä, A. & Valentine, H. T. Crown ratio influences allometric scaling in trees. Ecol 87, 2967–2972 (2006).
Google Scholar
Duursma, R. A. et al. Self‐shading affects allometric scaling in trees. Funct. Ecol. 24, 723–730 (2010).
Google Scholar
Pretzsch, H. & Dieler, J. Evidence of variant intra-and interspecific scaling of tree crown structure and relevance for allometric theory. Oecologia 169, 637–649 (2012).
Google Scholar
Lin, Y. et al. Plant interactions alter the predictions of metabolic scaling theory. PloS One 8, e57612 (2013).
Google Scholar
Cheng, D. et al. Scaling relationship between tree respiration rates and biomass. Biol. Lett. 6, 715–717 (2010).
Google Scholar
Ogawa, K. Scaling relations based on the geometric and metabolic theories in woody plant species: A review. Perspect. Plant Ecol. Evol. Syst. 40, 125480 (2019).
Google Scholar
Risto, S. et al. Functional–structural plant models: a growing paradigm for plant studies. Ann. Bot. 114, 599–603 (2014).
Google Scholar
Jackson, T. et al. Finite element analysis of trees in the wind based on terrestrial laser scanning data. Agric. Meteorol. 265, 137–144 (2019).
Google Scholar
Disney, M. Terrestrial LiDAR: a three‐dimensional revolution in how we look at trees. N. Phytol. 222, 1736–1741 (2019).
Google Scholar
Malhi, Y. et al. New perspectives on the ecology of tree structure and tree communities through terrestrial laser scanning. Interface Focus 8, 20170052 (2018).
Google Scholar
Bayer, D., Seifert, S. & Pretzsch, H. Structural crown properties of Norway spruce (Picea abies [L.] Karst.) and European beech (Fagus sylvatica [L.]) in mixed versus pure stands revealed by terrestrial laser scanning. Trees 27, 1035–1047 (2013).
Google Scholar
Lin, Y. & Herold, M. Tree species classification based on explicit tree structure feature parameters derived from static terrestrial laser scanning data. Agric. Meteorol. 216, 105–114 (2016).
Google Scholar
Tanago, J. G. et al. Estimation of above‐ground biomass of large tropical trees with terrestrial LiDAR. Methods Ecol. Evol. 9, 223–234 (2018).
Google Scholar
Takoudjou, S. M. et al. Using terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models: A comparison with traditional destructive approach. Methods Ecol. Evol. 9, 905–916 (2018).
Google Scholar
Dassot, M., Fournier, M. & Deleuze, C. Assessing the scaling of the tree branch diameters frequency distribution with terrestrial laser scanning: methodological framework and issues. Ann. Sci. 76, 66 (2019).
Google Scholar
Klockow, P. A. et al. Allometry and structural volume change of standing dead southern pine trees using non-destructive terrestrial LiDAR. Remote Sens. Environ. 241, 111729 (2020).
Google Scholar
Stovall, A. E., Anderson-Teixeira, K. J. & Shugart, H. H. Assessing terrestrial laser scanning for developing non-destructive biomass allometry. Ecol. Manag. 427, 217–229 (2018).
Google Scholar
Dai, J. et al. Drought-modulated allometric patterns of trees in semi-arid forests. Commun. Biol. 3, 1–8 (2020).
Google Scholar
Ogawa, K., Hagihara, A. & Hozumi, K. Growth analysis of a seedling community of Chamaecyparis obtusa. VI. Estimation of individual gross primary production by the summation method. In Transactions of the 30th Meeting of Chubu Branch of Japanese Forestry Society, 179–181 (Honda Kiyoshi, 1985).
Yokota, T. & Hagihara, A. Dependence of the aboveground CO2 exchange rate on tree size in field-grown hinoki cypress (Chamaecyparis obtusa). J. Plant Res. 109, 177–184 (1996).
Google Scholar
Enquist, B. J. et al. Biological scaling: does the exception prove the rule? Nature 445, E9–E10 (2007).
Google Scholar
Lau, A. et al. Estimating architecture-based metabolic scaling exponents of tropical trees using terrestrial LiDAR and 3D modelling. Ecol. Manag. 439, 132–145 (2019).
Google Scholar
Li, Y. et al. Retrieval of tree branch architecture attributes from terrestrial laser scan data using a Laplacian algorithm. Agric. Meteorol. 284, 107874 (2020).
Google Scholar
Noyer, E. et al. Biomechanical control of beech pole verticality (Fagus sylvatica) before and after thinning: theoretical modelling and ground‐truth data using terrestrial LiDAR. Am. J. Bot. 106, 187–198 (2019).
Google Scholar
Jackson, T. et al. A new architectural perspective on wind damage in a natural forest. Front. Glob. Chang. 1, 13 (2019).
Google Scholar
Jackson, T. Strain Measurements on 21 Trees in Wytham Woods, UK. NERC Environmental Information Data Centre. https://doi.org/10.5285/533d87d3-48c1-4c6e-9f2f-fda273ab45bc (2018).
Kozłowski, J. & Konarzewski, M. Is West, Brown and Enquist’s model of allometric scaling mathematically correct and biologically relevant? Funct. Ecol. 18, 283–289 (2004).
Google Scholar
Kleiber, M. Body size and metabolic rate. Physiol. Rev. 27, 511–541 (1947).
Google Scholar
Hay, M. J. M. et al. Branching responses of a plagiotropic clonal herb to localised incidence of light simulating that reflected from vegetation. Oecologia 127, 185–190 (2001).
Google Scholar
Cordero, R. A., Fetcher, N. & Voltzow, J. Effects of wind on the allometry of two species of plants in an elfin cloud forest. Biotropica 39, 177–185 (2010).
Google Scholar
Anfodillo, T. et al. Allometric trajectories and “stress”: a quantitative approach. Front. Plant Sci. 7, 1681 (2016).
Google Scholar
Louarn, G. & Song, Y. Two decades of functional-structural plant modelling: now addressing fundamental questions in systems biology and predictive ecology. Ann. Bot. 126, 501–509 (2020).
Google Scholar
Poorter, H. & Sack, L. Pitfalls and possibilities in the analysis of biomass allocation patterns in plants. Front. Plant Sci. 3, 259 (2012).
Google Scholar
Thomas, S. C. Reproductive allometry in Malaysian rain forest trees: biomechanics versus optimal allocation. Evol. Ecol. 10, 517–530 (1996).
Google Scholar
Kempes, C. P. et al. Predicting maximum tree heights and other traits from allometric scaling and resource limitations. PLoS One 6, e20551 (2011).
Google Scholar
Blanchard, E. et al. Contrasted allometries between stem diameter, crown area, and tree height in five tropical biogeographic areas. Trees 30, 1953–1968 (2016).
Google Scholar
Swetnam, T. L., O’Connor, C. D. & Lynch, A. M. Tree morphologic plasticity explains deviation from metabolic scaling theory in semi-arid conifer forests, southwestern USA. PLoS One 11, e0157582 (2016).
Google Scholar
Loehle, C. Biomechanical constraints on tree architecture. Trees 30, 2061–2070 (2016).
Google Scholar
Guillon, T., Dumont, Y. & Fourcaud, T. Numerical methods for the biomechanics of growing trees. Comput. Math. Appl. 64, 289–309 (2012).
Google Scholar
Olson, M. E., Rosell, J. A., Muñoz, S. Z. & Castorena, M. Carbon limitation, stem growth rate and the biomechanical cause of Corner’s rules. Ann. Bot. 122, 583–592 (2018).
Google Scholar
West, G. B., Enquist, B. J. & Brown, J. H. A general quantitative theory of forest structure and dynamics. Proc. Natl Acad. Sci. USA 106, 7040–7045 (2009).
Google Scholar
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