doi:10.48130/forres-0026-0024

[1]

Chazdon RL, Guariguata MR. 2016. Natural regeneration as a tool for large-scale forest restoration in the tropics: prospects and challenges. Biotropica 48:716−730

doi: 10.1111/btp.12381

[2]

Ma J, Zhang J, Chang L, Li X, Xie L, et al. 2024. Contrasting light capture strategies between shade-tolerant and -intolerant tree seedlings responding to solar canopy spectral composition. Environmental and Experimental Botany 225:105857

doi: 10.1016/j.envexpbot.2024.105857

[3]

Ribbens E, Silander JA Jr, Pacala SW. 1994. Seedling recruitment in forests: calibrating models to predict patterns of tree seedling dispersion. Ecology 75:1794−1806

doi: 10.2307/1939638

[4]

Hao Z, Zhang J, Song B, Ye J, Li B. 2007. Vertical structure and spatial associations of dominant tree species in an old-growth temperate forest. Forest Ecology and Management 252:1−11

doi: 10.1016/j.foreco.2007.06.026

[5]

Zhu J, Wang K, Sun Y, Yan Q. 2014. Response of Pinus koraiensis seedling growth to different light conditions based on the assessment of photosynthesis in current and one-year-old needles. Journal of Forestry Research 25:53−62

doi: 10.1007/s11676-014-0432-7

[6]

Zhou G, Liu Q, Xu Z, Du W, Yu J, et al. 2020. How can the shade intolerant Korean pine survive under dense deciduous canopy? Forest Ecology and Management 457:117735

doi: 10.1016/j.foreco.2019.117735

[7]

Wang X, Lu D, Schönbeck L, Han Y, Bai S, et al. 2025. Contrasting effects of prolonged drought and nitrogen addition on growth and non-structural carbohydrate dynamics in coexisting Pinus koraiensis and Fraxinus mandshurica saplings. Forestry Research 5:e003

doi: 10.48130/forres-0025-0002

[8]

Li JQ, Li JW. 2003. Regeneration and restoration of broad-leaved Korean pine forests in Lesser Xing'an Mountains of Northeast China. Acta Ecologica Sinica 23:1268−1277 (in Chinese)

doi: 10.3321/j.issn:1000-0933.2003.07.003

[9]

Zhu J, Zhu C, Lu D, Wang GG, Zheng X, et al. 2021. Regeneration and succession: a 50-year gap dynamic in temperate secondary forests, Northeast China. Forest Ecology and Management 484:118943

doi: 10.1016/j.foreco.2021.118943

[10]

Deng J, Fang S, Fang X, Jin Y, Kuang Y, et al. 2023. Forest understory vegetation study: current status and future trends. Forestry Research 3:6

doi: 10.48130/fr-2023-0006

[11]

Zhu JJ, Matsuzaki T, Lee FQ, Gonda Y. 2003. Effect of gap size created by thinning on seedling emergency, survival and establishment in a coastal pine forest. Forest Ecology and Management 182:339−354

doi: 10.1016/S0378-1127(03)00094-X

[12]

Wang QW, Robson TM, Pieristè M, Oguro M, Oguchi R, et al. 2020. Testing trait plasticity over the range of spectral composition of sunlight in forb species differing in shade tolerance. Journal of Ecology 108:1923−1940

doi: 10.1111/1365-2745.13384

[13]

Xie L, Yang Y, Ma J, Lin G, Deng J. et al. 2024. Variations in ectomycorrhizal exploration types parallel seedling fine root traits of two temperate tree species under extreme drought and contrasting solar radiation treatments. Plant, Cell & Environment 47:5053−5066

doi: 10.1111/pce.15093

[14]

Zhang M, Zhu J, Li M, Zhang G, Yan Q. 2013. Different light acclimation strategies of two coexisting tree species seedlings in a temperate secondary forest along five natural light levels. Forest Ecology and Management 306:234−242

doi: 10.1016/j.foreco.2013.06.031

[15]

Sun Y, Zhu J, Sun OJ, Yan Q. 2016. Photosynthetic and growth responses of Pinus koraiensis seedlings to canopy openness: implications for the restoration of mixed-broadleaved Korean pine forests. Environmental and Experimental Botany 129:118−126

doi: 10.1016/j.envexpbot.2016.02.005

[16]

Bell T, Freckleton RP, Lewis OT. 2006. Plant pathogens drive density-dependent seedling mortality in a tropical tree. Ecology Letters 9:569−574

doi: 10.1111/j.1461-0248.2006.00905.x

[17]

Domínguez-Begines J, Ávila JM, García LV, Gómez-Aparicio L. 2020. Soil-borne pathogens as determinants of regeneration patterns at community level in Mediterranean forests. New Phytologist 227:588−600

doi: 10.1111/nph.16467

[18]

Liu H, Li J, Carvalhais LC, Percy CD, Prakash Verma J, et al. 2021. Evidence for the plant recruitment of beneficial microbes to suppress soil-borne pathogens. New Phytologist 229:2873−2885

doi: 10.1111/nph.17057

[19]

Yu L, Zi H, Zhu H, Liao Y, Xu X, et al. 2022. Rhizosphere microbiome of forest trees is connected to their resistance to soil-borne pathogens. Plant and Soil 479:143−158

doi: 10.1007/s11104-022-05505-2

[20]

Falster DS, Duursma RA, FitzJohn RG. 2018. How functional traits influence plant growth and shade tolerance across the life cycle. Proceedings of the National Academy of Sciences of the United States of America 115:E6789−E6798

doi: 10.1101/083451

[21]

Reich PB. 2014. The world-wide 'fast–slow' plant economics spectrum: a traits manifesto. Journal of Ecology 102:275−301

doi: 10.1111/1365-2745.12211

[22]

Weemstra M, Kuyper TW, Sterck FJ, Umaña MN. 2023. Incorporating belowground traits: avenues towards a whole-tree perspective on performance. Oikos 2023:e08827

doi: 10.1111/oik.08827

[23]

Weemstra M, Roumet C, Cruz-Maldonado N, Anthelme F, Stokes A, et al. 2022. Environmental variation drives the decoupling of leaf and root traits within species along an elevation gradient. Annals of Botany 130:419−430

doi: 10.1093/aob/mcac052

[24]

Ding J, Wang Q, Ge W, Liu Q, Kong D, et al. 2024. Coordination of leaf and root economic space in alpine coniferous forests on the Tibetan Plateau. Plant and Soil 496:555−568

doi: 10.1007/s11104-023-06381-0

[25]

Wright IJ, Reich PB, Westoby M, Ackerly DD, Baruch Z, et al. 2004. The worldwide leaf economics spectrum. Nature 428:821−827

doi: 10.1038/nature02403

[26]

Carvajal DE, Loayza AP, Rios RS, Delpiano CA, Squeo FA. 2019. A hyper-arid environment shapes an inverse pattern of the fast–slow plant economics spectrum for above-, but not below-ground resource acquisition strategies. Journal of Ecology 107:1079−1092

doi: 10.1111/1365-2745.13092

[27]

Wang QW, Liu C, Robson TM, Hikosaka K, Kurokawa H. 2021. Leaf density and chemical composition explain variation in leaf mass area with spectral composition among 11 widespread forbs in a common garden. Physiologia Plantarum 173:698−708

doi: 10.1111/ppl.13512

[28]

Weemstra M, Mommer L, Visser EJW, van Ruijven J, Kuyper TW, et al. 2016. Towards a multidimensional root trait framework: A tree root review. New Phytologist 211:1159−1169

doi: 10.1111/nph.14003

[29]

Bergmann J, Weigelt A, van der Plas F, Laughlin DC, Kuyper TW, et al. 2020. The fungal collaboration gradient dominates the root economics space in plants. Science Advances 6:eaba3756

doi: 10.1126/sciadv.aba3756

[30]

Lynch JP, Strock CF, Schneider HM, Sidhu JS, Ajmera I, et al. 2021. Root anatomy and soil resource capture. Plant and Soil 466:21−63

doi: 10.1007/s11104-021-05010-y

[31]

Zhang P, Ding J, Wang Q, McDowell NG, Kong D, et al. 2024. Contrasting coordination of non-structural carbohydrates with leaf and root economic strategies of alpine coniferous forests. New Phytologist 243:580−590

doi: 10.1111/nph.19678

[32]

Xie L, Ma J, Deng J, Robson TM, Yu D, et al. 2026. Contrasting light demands determine the coordination of plants' non-structural carbohydrates and economic strategy over the range of solar spectral composition. Functional Ecology 40:534−552

doi: 10.1111/1365-2435.70251

[33]

Poorter H, Niklas KJ, Reich PB, Oleksyn J, Poot P, et al. 2012. Biomass allocation to leaves, stems and roots: meta-analyses of interspecific variation and environmental control. New Phytologist 193:30−50

doi: 10.1111/j.1469-8137.2011.03952.x

[34]

Yin J, Lin F, De Lombaerde E, Mao Z, Liu S, et al. 2023. The effects of light, conspecific density and soil fungi on seedling growth of temperate tree species. Forest Ecology and Management 529:120683

doi: 10.1016/j.foreco.2022.120683

[35]

Zhang P, Diao J, Wang LH. 2020. Pathogen identification of Pinus koraiensis root rot. Journal of Northeast Forestry University 48:123−127 (in Chinese)

doi: 10.13759/j.cnki.dlxb.2020.07.024

[36]

Tang B, Yin C, Yang H, Sun Y, Liu Q. 2017. The coupling effects of water deficit and nitrogen supply on photosynthesis, WUE, and stable isotope composition in Picea asperata. Acta Physiologiae Plantarum 39:148

doi: 10.1007/s11738-017-2451-4

[37]

Chen W, Zeng H, Eissenstat DM, Guo D. 2013. Variation of first-order root traits across climatic gradients and evolutionary trends in geological time. Global Ecology and Biogeography 22:846−856

doi: 10.1111/geb.12048

[38]

Benjamini Y, Hochberg Y. 1995. Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society Series B: Statistical Methodology 57:289−300

doi: 10.1111/j.2517-6161.1995.tb02031.x

[39]

R Core Team. 2026. R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing. 3993 pp. https://cran.r-project.org/doc/manuals/r-release/fullrefman.pdf

[40]

Jin C, Guan D, Zhu T. 2000. Spectral characteristics of solar radiation in broadleaved Korean pine forest in Changbai Mountain. Chinese Journal of Applied Ecology 1:20−22

[41]

Modrow T, Pyttel PL, Kuehne C, Kohnle U, Bauhus J. 2025. Variation in understorey radiation in different types of partial regeneration harvests in mature sessile oak (Quercus petraea [Mattuschka] Liebl.) forests. Forest Ecology and Management 594:122935

doi: 10.1016/j.foreco.2025.122935

[42]

Guo L, Chang P, Deng M, Yang S, Yang L, et al. 2025. Tree species diversity modulates the effects of fungal pathogens on litter decomposition: evidences from an incubation experiment. Plant and Soil 507:953−965

doi: 10.1007/s11104-024-06780-x

[43]

Wang M, Shao Y, Zhang W, Yu B, Shen Z, et al. 2025. Secondary succession increases diversity and network complexity of soil microbial communities in subtropical and temperate forests. CATENA 249:108662

doi: 10.1016/j.catena.2024.108662

[44]

Song X, Mei P, Dou T, Liu Q, Li L. 2023. Multi-omics analysis reveals the resistance mechanism and the pathogens causing root rot of Coptis chinensis. Microbiology Spectrum 11:e0480322

doi: 10.1128/spectrum.04803-22

[45]

Belhedi M, Sghaier-Hammami B, Hammami SBM, Ben Slema S, de Bellis P, et al. 2026. Microbial biodiversity in Tunisian olive grove soils: a reservoir of phytopathogenic fungi and potential beneficial microorganisms. Frontiers in Fungal Biology 7:1770745

doi: 10.3389/ffunb.2026.1770745

[46]

Fiorucci AS, Fankhauser C. 2017. Plant strategies for enhancing access to sunlight. Current Biology 27:R931−R940

doi: 10.1016/j.cub.2017.05.085

[47]

Fernández-Milmanda GL, Ballaré CL. 2021. Shade avoidance: expanding the color and hormone palette. Trends in Plant Science 26:509−523

doi: 10.1016/j.tplants.2020.12.006

[48]

Valladares F, Laanisto L, Niinemets Ü, Zavala MA. 2016. Shedding light on shade: ecological perspectives of understorey plant life. Plant Ecology & Diversity 9:237−251

doi: 10.1080/17550874.2016.1210262

[49]

Were E, Schöne J, Viljoen A, Rasche F. 2022. Phenolics mediate suppression of Fusarium oxysporum f. sp. cubense TR4 by legume root exudates. Rhizosphere 21:100459

doi: 10.1016/j.rhisph.2021.100459

[50]

Huang J, Zaynab M, Sharif Y, Khan J, Al-Yahyai R, et al. 2024. Tannins as antimicrobial agents: understanding toxic effects on pathogens. Toxicon 247:107812

doi: 10.1016/j.toxicon.2024.107812

[51]

Freschet GT, Cornelissen JHC, Van Logtestijn RSP, Aerts R. 2010. Evidence of the 'plant economics spectrum' in a subarctic flora. Journal of Ecology 98:362−373

doi: 10.1111/j.1365-2745.2009.01615.x

[52]

Valladares F, Niinemets Ü. 2008. Shade tolerance, a key plant feature of complex nature and consequences. Annual Review of Ecology, Evolution, and Systematics 39:237−257

doi: 10.1146/annurev.ecolsys.39.110707.173506

[53]

Herms DA, Mattson WJ. 1992. The dilemma of plants: to grow or defend. The Quarterly Review of Biology 67:283−335

doi: 10.1086/417659

[54]

Emmett B, Nelson EB, Kessler A, Bauerle TL. 2014. Fine-root system development and susceptibility to pathogen colonization. Planta 239:325−340

doi: 10.1007/s00425-013-1989-7

[55]

Wen Z, Yu P, Shen J, Lambers H. 2025. Do rhizosphere microbiomes match root functional traits? Trends in Ecology & Evolution 40:885−899

doi: 10.1016/j.tree.2025.07.002

[56]

Lynch JP. 2022. Harnessing root architecture to address global challenges. The Plant Journal 109:415−431

doi: 10.1111/tpj.15560

[57]

Gille CE, Finnegan PM, Hayes PE, Ranathunge K, Burgess TI, et al. 2024. Facilitative and competitive interactions between mycorrhizal and nonmycorrhizal plants in an extremely phosphorus-impoverished environment: role of ectomycorrhizal fungi and native oomycete pathogens in shaping species coexistence. New Phytologist 242:1630−1644

doi: 10.1111/nph.19489

[58]

Kong D, Ma C, Zhang Q, Li L, Chen X, et al. 2014. Leading dimensions in absorptive root trait variation across 96 subtropical forest species. New Phytologist 203:863−872

doi: 10.1111/nph.12842