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Developing nonlinear additive tree crown width models based on decomposed competition index and tree variables

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Abstract

Crown development is closely related to the biomass and growth rate of the tree and its width (CW) is an important covariable in growth and yield models and in forest management. To date, various CW models have been proposed. However, limited studies have explicitly focused on additive and inherent correlation of crown components and total CW as well as the influence of competition on crown radius from the corresponding direction. In this study, two model systems were used, i.e., aggregation method system (AMS) and disaggregation method system (DMS), to develop crown width additive model systems. For calculating spatially explicit competition index (CI), four neighbor tree selection methods were evaluated. CI was decomposed into four cardinal directions and added into the model systems. Results show that the power model form was more proper for our data to fit CW growth. For each crown radius and total CW, height to the diameter at breast height (HDR) and basal area of trees larger than the subject tree (BAL) significantly contributed to the increase of prediction accuracy. The 3-m fixed radius was optimal among the four neighborhoods selection ways. After adding decomposed competition Hegyi index into model systems AMS and DMS, the prediction accuracy improved. Of the model systems evaluated, AMS based on decomposed CI provided the best performance as well as the inherent correlation and additivity properties. Our study highlighted the importance of decomposed CI in tree CW modelling for additive model systems. This study focused on methodology and could be applied to other species or stands.

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References

  • Aakala T, Fraver S, D’Amato AW, Palik BJ (2013) Influence of competition and age on tree growth in structurally complex old-growth forests in northern Minnesota, USA. For Ecol Manag 308:128–135

    Article  Google Scholar 

  • Aakala T, Shimatani K, Abe T, Kubota Y, Kuuluvainen T (2016) Crown asymmetry in high latitude forests: disentangling the directional effects of tree competition and solar radiation. Oikos 125:1035–1043

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Bérubé-Deschênes A, Franceschini T, Schneider R (2017) Quantifying competition in white spruce (Picea glauca) plantations. Ann Forest Sci 74:1–15

    Article  Google Scholar 

  • Bhandari SK, Veneklaas EJ, McCaw L, Mazanec R, Whitford K, Renton M (2021) Individual tree growth in jarrah (Eucalyptus marginata) forest is explained by size and distance of neighbouring trees in thinned and non-thinned plots. For Ecol Manag 494:119364

    Article  Google Scholar 

  • Bonnor GM (1968) Stem diameter estimates from crown width and tree height. Commonw for Rev 47:8–13

    Google Scholar 

  • Bragg DC (2001) A local basal area adjustment for crown width prediction. North J Appl for 18:22–28

    Article  Google Scholar 

  • Burkardt K, Pettenkofer T, Ammer C, Gailing O, Leinemann L, Seidel D, Vor T (2020) Influence of heterozygosity and competition on morphological tree characteristics of Quercus rubra L.: a new single-tree based approach. New for 52:679–695

    Article  Google Scholar 

  • Cattaneo N, Bravo-Oviedo A, Bravo F (2018) Analysis of tree interactions in a mixed Mediterranean pine stand using competition indices. Eur J Forest Res 137:109–120

    Article  Google Scholar 

  • Cattaneo N, Schneider R, Bravo F, Bravo-Oviedo A (2020) Inter-specific competition of tree congeners induces changes in crown architecture in Mediterranean pine mixtures. For Ecol Manag 476:118471

    Article  Google Scholar 

  • Chen Q, Duan GS, Liu QW, Ye QL, Sharma RP, Chen YF, Liu HD, Fu LY (2021) Estimating crown width in degraded forest: A two-level nonlinear mixed-effects crown width model for Dacrydium pierrei and Podocarpus imbricatus in tropical China. For Ecol Manag 497:119486

    Article  Google Scholar 

  • Ciceu A, Bronisz K, Garcia-Duro J, Badea O (2022) Age-independent diameter increment models for mixed mountain forests. Eur J for Res 141:781–800

    Article  Google Scholar 

  • Condés S, Sterba H (2005) Derivation of compatible crown width equations for some important tree species of Spain. For Ecol Manag 217:203–218

    Article  Google Scholar 

  • Contreras MA, Affleck D, Chung W (2011) Evaluating tree competition indices as predictors of basal area increment in western Montana forests. Forest Ecol Manag 262:1939–1949

    Article  Google Scholar 

  • Dong LB, Wei HY, Liu ZG (2020a) Optimizing forest spatial structure with neighborhood-based indices: four case studies from Northeast China. Forests 11:413

    Article  Google Scholar 

  • Dong LH, Zhang LJ, Li FR (2018) Additive biomass equations based on different dendrometric variables for two dominant species (Larix gmelini Rupr. and Betula platyphylla Suk.) in natural forests in the eastern Daxing’an Mountains, Northeast China. Forests 9: 261

  • Dong LH, Zhang Y, Zhang Z, Xie LF, Li FR (2020b) Comparison of tree biomass modeling approaches for larch (Larix olgensis Henry) trees in Northeast China. Forests 11:202

    Article  Google Scholar 

  • Fu LY, Sun H, Sharma RP, Lei YC, Zhang HR, Tang SZ (2013) Nonlinear mixed-effects crown width models for individual trees of Chinese fir (Cunninghamia lanceolata) in south-central China. For Ecol Manag 302:210–220

    Article  Google Scholar 

  • Fu LY, Sharma RP, Wang GX, Tang SZ (2017a) Modelling a system of nonlinear additive crown width models applying seemingly unrelated regression for Prince Rupprecht larch in northern China. For Ecol Manag 386:71–80

    Article  Google Scholar 

  • Fu LY, Xiang W, Wang GX, Hao KJ, Tang SZ (2017b) Additive crown width models comprising nonlinear simultaneous equations for Prince Rupprecht larch (Larix principis-rupprechtii) in northern China. Trees-Struct Funct 31:1959–1971

    Article  Google Scholar 

  • Gill SJ, Biging GS, Murphy EC (2000) Modeling conifer tree crown radius and estimating canopy cover. For Ecol Manag 126:405–416

    Article  Google Scholar 

  • Gray AN, McIntosh ACS, Garman SL, Shettles MA (2021) Predicting canopy cover of diverse forest types from individual tree measurements. For Ecol Manag 501:119682

    Article  Google Scholar 

  • Grote R (2003) Estimation of crown radii and crown projection area from stem size and tree position. Ann for Sci 60:393–402

    Article  Google Scholar 

  • Haase P (1995) Spatial pattern analysis in ecology based on Ripley’s K-function: Introduction and methods of edge correction. J Veg Sci 6:575–582

    Article  Google Scholar 

  • Harja D, Vincent G, Mulia R, van Noordwijk M (2012) Tree shape plasticity in relation to crown exposure. Trees-Struct Funct 26:1275–1285

    Article  Google Scholar 

  • Hemery GE, Savill PS, Pryor SN (2005) Applications of the crown diameter–stem diameter relationship for different species of broadleaved trees. For Ecol Manag 215:285–294

    Article  Google Scholar 

  • Hetherington JC (1967) Crown diameter: stem diameter relationships in managed stands of Sitka Spruce. Commonw for Rev 46:278–281

    Google Scholar 

  • Hui GY, Zhao XH, Zhao ZH, von Gadow K (2011) Evaluating tree species spatial diversity based on neighborhood relationships. Forest Sci 57:292–300

    Google Scholar 

  • Kahriman A, Şahin A, Sönmez T, Yavuz M (2018) A novel approach to selecting a competition index: the effect of competition on individual-tree diameter growth of Calabrian pine. Can J Forest Res 48:1217–1226

    Article  Google Scholar 

  • Kalliovirta J, Tokola T (2005) Functions for estimating stem diameter and tree age using tree height, crown width and existing stand database information. Silva Fenn 39:227–248

    Article  Google Scholar 

  • Lei YK, Fu LY, Affleck DLR, Nelson AS, Shen CC, Wang MX, Zheng JB, Ye QL, Yang GW (2018) Additivity of nonlinear tree crown width models: Aggregated and disaggregated model structures using nonlinear simultaneous equations. For Ecol Manag 427:372–382

    Article  Google Scholar 

  • Liang RT, Sun YJ, Zhou L, Wang YF, Qiu SY, Sun Z (2022) Analysis of various crown variables on stem form for Cunninghamia lanceolata based on ANN and taper function. For Ecol Manag 507:119973

    Article  Google Scholar 

  • Lin S, Li Y, Chen MF, Li YH, Wang L, He KN (2021) Effects of local neighbourhood structure on radial growth of Picea crassifolia Kom. and Betula platyphylla Suk. plantations in the loess alpine region, China. Forest Ecol Manag 491: 119195

  • Long SS, Zeng SQ, Liu FL, Wang GX (2020) Influence of slope, aspect and competition index on the height-diameter relationship of Cyclobalanopsis glauca trees for improving prediction of height in mixed forests. Silva Fenn 54

  • Longuetaud F, Piboule A, Wernsdorfer H, Collet C (2013) Crown plasticity reduces inter-tree competition in a mixed broadleaved forest. Eur J for Res 132:621–634

    Article  Google Scholar 

  • Lou XW, Huang YX, Fang LM, Huang SQ, Gao HL, Yang LB, Weng YH, Hung IK (2021) Measuring loblolly pine crowns with drone imagery through deep learning. J for Res 33:227–238

    Article  Google Scholar 

  • Luu TC, Binkley D, Stape JL (2013) Neighborhood uniformity increases growth of individual Eucalyptus trees. For Ecol Manag 289:90–97

    Article  Google Scholar 

  • Ma AY, Miao Z, Xie LF, Dong LH, Li FR (2022) Crown width prediction for Larix olgensis plantations in Northeast China based on nonlinear mixed-effects model and quantile regression. Trees. https://doi.org/10.1007/s00468-022-02326-9

    Article  Google Scholar 

  • Madsen C, Kunz M, von Oheimb G, Hall J, Sinacore K, Turner BL, Potvin C (2021) Influence of neighbourhoods on the extent and compactness of tropical tree crowns and root systems. Trees-Struct Funct 1–14

  • Olivier MD, Robert S, Fournier RA (2016) Response of sugar maple (Acer saccharum, Marsh.) tree crown structure to competition in pure versus mixed stands. For Ecol Manag 374:20–32

    Article  Google Scholar 

  • Paine DP, Hann DW (1982) Maximum crown-width equations for southwestern Oregon tree species. Research paper 46, Corvallis, Or. Forest Research Laboratory, School of Forestry, Oregon State University. https://ir.library.oregonstate.edu/concern/technical_reports/r494vm50r

  • Pan L, Mei GY, Wang YF, Saeed S, Chen LP, Cao YS, Sun YJ (2020) Generalized nonlinear mixed-effect model of individual TREE height to crown base for Larix olgensis Henry in Northeast China. J Sustain Forest 39:827–840

    Article  Google Scholar 

  • Parresol BR (2001) Additivity of nonlinear biomass equations. Can J for Res 31:865–878

    Article  Google Scholar 

  • Premer MI, Chhin S, Zhang JW (2021) Local testing and calibration of species-specific competition indices in Sierran mixed-conifer forests: application transfer to evolving objectives. Can J for Res 51:524–532

    Article  CAS  Google Scholar 

  • Pretzsch H (2022) Facilitation and competition reduction in tree species mixtures in Central Europe: consequences for growth modeling and forest management. Ecol Model 464:109812

    Article  Google Scholar 

  • Pretzsch H, Schütze G (2021) Tree species mixing can increase stand productivity, density and growth efficiency and attenuate the trade-off between density and growth throughout the whole rotation. Ann Bot-London 128:767–786

    Article  CAS  Google Scholar 

  • Qin YP, He X, Lei XD, Feng LY, Zhou ZY, Lu J (2022) Tree size inequality and competition effects on nonlinear mixed effects crown width model for natural spruce-fir-broadleaf mixed forest in northeast China. For Ecol Manag 518:120291

    Article  Google Scholar 

  • Qiu T, Aravena MC, Andrus R, Ascoli D, Bergeron Y, Berretti R, Bogdziewicz M, Boivin T, Bonal R, Caignard T, Calama R, Camarero JJ, Clark CJ, Courbaud B, Delzon S, Calderon SD, Farfan-Rio W, Gehring CA, Gilbert GS, Greenberg CH, Guo QF, Lambers JHR, Hoshizaki K, Ibanez I, Journe V, Kilner CL, Kobe RK, Koenig WD, Kunstler G, LaMontagne JM, Ledwon M, Lutz JA, Motta R, Myers JA, Nagel TA, Nunez CL, Pearse IS, Piechnik L, Poulsen JR, Poulton-Kamakura R, Redmond MD, Reid CD, Rodman KC, Scher CL, Marble HSV, Seget B, Sharma S, Silman M, Swenson JJ, Swift M, Uriate M, Vacciano G, Veblen TT, Whipple AV, Whitham TG, Wion AP, Wright SJ, Zhu K, Zimmerman JK, Zywiec M, Clark JS (2021) Is there tree senescence? The fecundity evidence. P Natl Acad Sci USA 118:e2106130118

    Article  CAS  Google Scholar 

  • Raptis D, Kazana V, Kazaklis A, Stamatiou C (2018) A crown width-diameter model for natural even-aged black pine forest management. Forests 9:610

    Article  Google Scholar 

  • Ruchay A, Kober V, Dorofeev K, Kolpakov V, Dzhulamanov K, Kalschikov V, Guo H (2022) Comparative analysis of machine learning algorithms for predicting live weight of Hereford cows. Comput Electron Agr 195:106837

    Article  Google Scholar 

  • Sattler DF, LeMay V (2011) A system of nonlinear simultaneous equations for crown length and crown radius for the forest dynamics model SORTIE-ND. Can J for Res 41:1567–1576

    Article  Google Scholar 

  • Shanin V, Hökkä H, Grabarnik P (2021) Testing the performance of some competition indices against experimental data and outputs of spatially explicit simulation models. Forests 12:1415

    Article  Google Scholar 

  • Sharma RP, Bílek L, Vacek Z, Vacek S (2017a) Modelling crown width–diameter relationship for Scots pine in the central Europe. Trees-Struct Funct 31:1875–1889

    Article  CAS  Google Scholar 

  • Sharma RP, Vacek Z, Vacek S (2016) Individual tree crown width models for Norway spruce and European beech in Czech Republic. For Ecol Manag 366:208–220

    Article  Google Scholar 

  • Sharma RP, Vacek Z, Vacek S, Podrazsky V, Jansa V (2017b) Modelling individual tree height to crown base of Norway spruce (Picea abies (L.) Karst.) and European beech (Fagus sylvatica L.). PLoS One 12:e0186394

  • Simard SW, Sachs DL (2004) Assessment of interspecific competition using relative height and distance indices in an age sequence of seral interior cedar-hemlock forests in British Columbia. Can J for Res 34:1228–1240

    Article  Google Scholar 

  • Tenzin J, Tenzin K, Hasenauer H (2017) Individual tree basal area increment models for broadleaved forests in Bhutan. Forestry 90:367–380

    Google Scholar 

  • Thorpe HC, Astrup R, Trowbridge A, Coates KD (2010) Competition and tree crowns: a neighborhood analysis of three boreal tree species. Forest Ecol Manag 259:1586–1596

    Article  Google Scholar 

  • Vospernik S, Monserud RA, Sterba H (2010) Do individual-tree growth models correctly represent height:diameter ratios of Norway spruce and Scots pine? For Ecol Manag 260:1735–1753

    Article  Google Scholar 

  • Wang WW, Ge FX, Hou ZY, Meng JH (2021) Predicting crown width and length using nonlinear mixed-effects models: a test of competition measures using Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.). Ann for Sci 78:1–17

    Article  CAS  Google Scholar 

  • Widagdo FRA, Li FR, Zhang LJ, Dong LH (2020) Aggregated biomass model systems and carbon concentration variations for tree carbon quantification of natural mongolian oak in Northeast China. Forests 11:397

    Article  Google Scholar 

  • Wonn HT, O’Hara KL (2001) Height: Diameter ratios and stability relationships for four Northern Rocky Mountain tree species. West J Appl for 16:87–94

    Article  Google Scholar 

  • Wykoff WR, Crookston NL, Stage AR (1982) User’s guide to the stand pronosis model. United States. Intermountain Forest and Range Experiment Station (Ogden, Utah) . U.S.D.A. Forest Service general technical report INT (USA). https://doi.org/10.2737/INT-GTR-133

  • Xie LF, Fu LY, Widagdo FRA, Dong LH, Li FR (2021) Improving the accuracy of tree biomass estimations for three coniferous tree species in Northeast China. Trees-Struct Funct 36:451–469

    Article  Google Scholar 

  • Zambrano J, Beckman NG, Marchand P, Thompson J, Uriarte M, Zimmerman JK, Umana MN, Swenson NG (2020) The scale dependency of trait-based tree neighborhood models. J Veg Sci 31:581–593

    Article  Google Scholar 

  • Zhao DH, Westfall J, Coulston JW, Lynch TB, Bullock BP, Montes CR (2019) Additive biomass equations for slash pine trees: comparing three modeling approaches. Can J Forest Res 49:27–40

    Article  Google Scholar 

  • Zhou ML, Lei XD, Lu J, Gao WQ, Zhang HR (2022) Comparisons of competitor selection approaches for spatially explicit competition indices of natural spruce-fir-broadleaf mixed forests. Eur J for Res 141:177–211

    Article  Google Scholar 

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Correspondence to Yifu Wang.

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Project funding: The work was supported by the National Natural Science Foundation of China, “Study on crown models for Larix olgensis based on tree growth” (No. 31870620).

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Corresponding editor: Tao Xu.

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Qiu, S., Gao, P., Pan, L. et al. Developing nonlinear additive tree crown width models based on decomposed competition index and tree variables. J. For. Res. 34, 1407–1422 (2023). https://doi.org/10.1007/s11676-022-01576-0

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