Skip to main content
  • Short communication
  • Open access
  • Published:

Variation in leaf functional traits of the Korean maple (Acer pseudosieboldianum) along an elevational gradient in a montane forest in Southern Korea


Plant functional traits have been shown to be useful to understand how and why ecosystems and their components vary across environmental heterogeneity or gradients. This study investigated how plant functional (leaf) traits vary according to an elevation-associated environmental gradient. Environmental gradients (mean annual temperature and precipitation) were quantified, and leaf traits (leaf area, specific leaf area, leaf nitrogen, leaf phosphorus, leaf carbon, and leaf C/N ratio) of the understory woody plant species Acer pseudosieboldianum were examined across an elevational gradient ranging from 600 to 1200 m in a Baegunsan Mountain in Gwangyang-si, Jeollanam-do, South Korea. The results showed that mean annual temperature and precipitation decreased and increased along with elevation, respectively. Leaf area of the plant species decreased slightly with increasing elevation, while specific leaf area did not differ significantly. Leaf nutrients (nitrogen, phosphorus, and carbon concentrations) were higher at high elevations, but leaf C/N ratio decreased with elevation.


Plant “functional traits,” which are individual’s morphological or physiological features relevant to survival, growth, and reproduction, are considered primary drivers of species interaction, community assembly, and species diversity (Roscher et al. 2012; Kunstler et al. 2015). These traits can affect the way plant individual interact with other plants or organisms in other trophic levels, which determine patterns of species interactions in a community (Perez-Hargundegy et al. 2013). It is often considered that community assembly is determined by environmental filtering and the survival of a species through the filtering is largely related to functional characteristics or traits of the species (Hulshof and Swenson 2010).

Also, these functional traits are considered as useful proxies to understand how and why ecosystems and their components vary across environmental heterogeneity or gradients (Garnier and Navas 2011). For instance, key functional traits such as plant size or leaf traits (mass per unit area or leaf stoichiometry) appear to correlate strongly with whole-plant performance, so these traits can be utilized to understand variation in plant function and diversity (Reich et al. 1997; West et al. 1999; Westoby et al. 2002). Individual plasticity in a tolerance against abiotic stresses can greatly influence the responses of a plant community to environmental changes, so functional traits of individual species in a community may act as a useful indicator for assessing and predicting variation in community responses to environmental changes (Mouillet et al. 2010).

Elevational gradients in mountain systems have been occasionally utilized as an experimental setting to test the stress-gradient hypothesis (Schob et al. 2013). It is generally assumed that higher elevations are more stressful for plants and this physical stress at high elevations is thought to be primarily caused by low air temperature, low partial pressure of CO2, and high UV radiation, along with thin soils and low nutrient availability (Korner 2007; Huber et al. 2007). Altitudinal differences in environmental conditions can be utilized as space for time substitutions to predict potential responses of plant traits to future climate change (Pfenningwerth et al. 2017). Performance-related foliar plant traits are thought to be highly sensitive to climatic environments and may co-vary with climatic variation associated with elevational gradient (Pratt and Mooney 2013; Read et al. 2014).

Until recently, considerable amounts of research has been conducted on community structure and diversity of plant species in mountain ecosystems in South Korea (for instance, Park et al. 2003; Choo and Kim 2005; Lee et al. 2013). However, most of them are taxonomy-based and trait-based approach has not been applied. Accordingly, information on variation in plant functional traits across various environmental gradients is not available. Therefore, in the present study, foliar functional traits of plant species Acer pseudosieboldianum were investigated along elevation ranging from 600 to 1200 m to understand how functional traits (leaf traits) vary across elevation-associated environmental gradient.

Materials and method

Study area and focal species

This study was conducted in Baegunsan mountain (35° 6′ N, 127° 37′ E) in Gwangyang-si, Jeollanam-do province, South Korea. Mean annual temperature and yearly precipitation of this area are 13 °C and 1271.5 mm respectively (based on 2017 averaged data from Baegunsan observation station at 515 m in altitude). The study area is characterized by deciduous trees such as Quercus mongolica, Carpinus laxiflora, Quercus variabilis, Quercus serrata, Exochorda serratifolia, and Stewartia pseudocamellia (Kim and Jeong 2015).

Acer pseudosieboldianum is a deciduous small tree or shrub, native to Korea. Although this species is not a dominant tree in the study area, it occupies across the entire elevation gradient in the study area, and most individuals have similar height (1.5~2 m) (their ages were not estimated but may be not mature yet considering their heights); therefore, the variation in leaf traits between individuals resulting from difference in height and light availability may be considered minimal.

Environmental gradient quantification

Mean annual temperature and yearly precipitation across elevation in the study area were estimated using data from the Korea Meteorological Administration. As data specific for each elevation gradient in the study area were not available, data (for between January and December 2017) from 22 weather observation stations located in Jeolla- and Gyeongsang-do province, at similar latitudes but various altitudes, were obtained and temperature and precipitation values were regressed against altitude to determine the relationship.

Plant sampling and leaf trait measurements

Sampling sites were selected for every 100 m in altitude across the elevation gradient (from 700 to 1200 m in altitude) on one west-facing slope of the Sangbong peak (1222.2 m, 35° 6′ N, 127° 37′ E) of the Baegunsan mountain. At each sampling site, 4–10 individuals of the A. pseudosieboldianum tree of similar height (approximately 1.5~2 m) were randomly chosen. The numbers of trees sampled at each sampling site were determined depending on the availability of individuals on site. From each individual, five fully expanded, non-senescent leaves from multiple branches were collected. Leaves showing any noticeable symptoms of herbivore attack were avoided. Sampling was conducted from late May to early June in 2018.

Collected leaves (on a branch) were sealed in a closed plastic bag and taken to the laboratory, then immediately scanned using an electronic scanner, or stored in a fridge (4 °C) for no more than 12 h until scanning. From scanned images, leaf area, LA (mm2), was calculated using ImageJ (Rueden et al. 2017). Scanned leaves were dried in a dry oven at 80 °C for 48 h, and then weighted to obtain leaf dry mass. To calculate specific leaf area, SLA (mm2 mg−1), the ratio between fresh leaf area and leaf dry mass, areas, and dry mass of five leaves of an individual tree were pooled.

For leaf nutrient analysis, dried leaves were powdered using a mortar and pestle and homogenized. For leaf P, ground leaves were digested using HNO3 in a microwave oven and analyzed with an inductively coupled plasma-optical emission spectrometer (ICP-OES) (OPTIMA 730DV, PerkinElmer, USA). For leaf N and C, leaf powder was analyzed using a micro elemental analyzer (Flash 2000, Thermo Fisher Scientific, USA). Total C and N contents were reported as percentage of dry mass (%).

Soil measurements

For characterizing soil features of each sampling site, three soil samples were taken at random from the 0–10 cm soil layer of each sampling site (except for the site at the lowest elevation) using a hand shovel and transferred to the laboratory. After homogenization, soil samples were air dried and sieved with 2-mm mesh for further analysis. Total soil N (%) were determined using Kjeldahl analysis. NH3-N and NO3-N were estimated via colorimetric titration after the extraction with 2 M KCl solution and following Kjeldahl distillation. Available P was determined with Lancaster extraction method. Soil organic matter (%) was determined with Walkley-Black titration. Soil pH was measured with a pH meter.

Data analysis

Linear regression was performed between elevation (m a.s.l) and all measured soil and leaf variables (soil: total N, NH3-N, NO3-N, organic matter, pH; leaf: LA, SLA, total N, total C, total P, C/N ratio). For soil available P, quadratic regression was applied as this model explained variation of the data slightly better than linear regression model (p = 0.047 at F-test). All analyses were performed with the R software 3.5.0 (R Development Core Team 2011).

Results and discussion

There was a significant linear correlation between mean annual temperature or yearly precipitation and elevation. As elevation increased, mean annual temperature decreased but yearly precipitation increased (Fig. 1). The results are not surprising as altitudinal decrease in temperature is well-known phenomenon despite temperature lapse rates for particular areas especially mountain regions may vary depending on microclimate of the area (Minder et al. 2010). Also, it is generally accepted that precipitation in mountain areas depends on altitude and mostly increases with increasing elevation despite considerable spatial variations (Sokol and Bliznk 2009).

Fig. 1
figure 1

a Mean annual temperature (°C) and b yearly precipitation (cm) along the elevation gradient in the study area (estimated from data of 22 observation stations at similar latitudes and various altitude). Regression coefficients (R (Atkin et al. 2006)) and P values are given for linear model regressions

As for soil characteristics, in the present study, there was no distinct pattern for soil nitrogen concentrations (either total N, NH3-N, or NO3-N) along elevation (Fig. 2a, b, c). Also, no significant correlation between soil organic matter concentrations and elevation was found (Fig. 2d). The results are generally comparable to results of Huber et al. (2007). However, in many cases, it has been reported that N stock increases with elevation, which has been attributable to the decline in temperature which decreases N mineralization rate so that more N can be retained in soil (Hart and Perry 1999; Tashi et al. 2016; Qasba et al. 2017). The stock and turnover of soil organic matter are known to be influenced by many soil-forming factors such as climate, topography, vegetation, or parent material, and it is generally thought that climate is the most important regulator (Alvarez and Lavado 1998; Dai and Huang 2006). Changes in climate along altitudinal gradients can affect the composition and productivity of vegetation, which in turn influences the concentration of soil organic matter. Soil water balance, erosion, and geographic deposition process also vary along altitude, all of which may cause altitudinal variation in soil organic matter (Quideau et al. 2001; Tan et al. 2004). In many cases, positive correlations between altitude and soil organic matter have been found. In the present study, nonlinear relationship between soil available phosphorus and altitude was found, with the lowest figure at the middle elevation (900~1000 m) (Fig. 2e). Soil pH increased with altitude (Fig. 2f). Similar results have been reported in He et al. (2016) in which they speculated that nonlinear relationship between soil P and elevation may be caused by nonlinear changes in soil water content, pH, P sorption capacity, and interactions among microclimate, topography, and vegetation.

Fig. 2
figure 2

Soil characteristics of the sampling sites along the elevation gradient. a Total N, b NH3-N, c NO3-N, d organic matter, e available P, and f pH. Regression coefficients (R (Atkin et al. 2006)) and P values are given for e and f

Leaf area decreased significantly with elevation, while specific leaf area (SLA) did not differ (Fig. 3a, b). These results are comparable with results of several studies (Velazquez-Rosas and Meave 2002; Pfennigwerth et al. 2017). In Velazquez-Rosas and Meave (2002), the decrease in leaf area along elevation was associated with temperature reduction and low soil fertility. Low temperature reduces cell growth, which results in overall decrease in leaf size (Leigh 1975). Low soil fertility specifically low soil N at high elevations can cause small leaves which are thought to be morphological adaptation for nutrient conservation (Tanner et al. 1998). However, in the present study, soil N did not differ along elevation. As for SLA, the decrease in SLA along elevation has also been reported in other studies (Poorter et al. 2009; Bresson et al. 2011). It has been suggested that low temperature limits cell expansion which leads to a large number of small cells per unit area and more cell wall and cell layers per unit area, which results in decrease in SLA (Atkin et al. 2006; Poorter et al. 2009). In the present study, SLA did not differ along elevation. The result could be due to high intraspecific variability in SLA which may obscure a correlation between SLA and temperature. In Rosbakh et al. (2015), a correlation between SLA and temperature was observed in a few species but not many (only 3 of 22), while strong positive correlation between SLA and temperature was observed at community level.

Fig. 3
figure 3

a Leaf area (mm2), b specific leaf area (mm2 mg−1), c leaf nitrogen content (%), d leaf phosphorus content (%), e leaf carbon content (%), and f leaf C/N ratio of Acer pseudosieboldianum along the elevation gradient in the study area. Regression coefficients (R (Atkin et al. 2006)) and P values are given for linear models with slopes showing a significant difference from zero

Leaf nutrient concentrations (nitrogen, phosphorus, carbon) increased significantly along an elevational gradient (Fig. 3c, d, e). Leaf C/N ratio decreased with elevation (Fig. 3f). The results of the present study are consistent with other studies. It has been reported that plants at higher elevations have lower growth rates and higher leaf nutrient content per unit area (Pfennigwerth et al. 2017). In some area, nitrogen deposition increased with elevation, which caused high plant nitrogen concentrations (Fowler et al. 1988). In Morecroft and Woodward (1996), increases in leaf nitrogen and phosphorus concentrations along elevation were observed, and the results were associated with decreases in leaf biomass (mainly carbon). In the present study, carbon concentration increased with elevation but leaf C/N ratio decreased, which may suggest the partial support for the hypothesis in Morecroft and Woodward (1996). It is to note that there are also studies showing the decrease in leaf nitrogen and phosphorus (Soethe et al. 2008; Zhao et al. 2016). The acquisition of nitrogen and phosphorus in plants is known to be influenced by climate, soil conditions, phylogeny, and different physiological growth strategies among species, and the pattern of nitrogen and phosphorus in leaf may reflect variation in climate, soil nutrient, and plant growth form along elevation (Zhao et al. 2016).


In the present study, key leaf functional traits (leaf area, SLA, nutrients) of understory woody plant species Acer pseudosieboldianum varied along elevation, with some traits increased and others decreased. Plant communities usually consist of a variety of plant species with ranges of functional traits; therefore, means of variation in those traits are often utilized to understand functional features of plant communities. The results of the present study suggest that variation in functional traits at within-species level may have significant impacts on overall feature of functional traits, so intraspecific variation of individual plant species needs to be considered.



Inductively coupled plasma-optical emission spectrometer


Leaf area


Specific leaf area


  • Alvarez R, Lavado RS. Climate, organic matter and clay content relationships in the pampa and Chaco soils, Argentina. Geoderma. 1998;83:127–41.

    Article  Google Scholar 

  • Atkin OK, Loveys BR, Atkinson LJ, Pons TL. Phenotypic plasticity and growth temperature: understanding interspecific variability. J Exp Bot. 2006;57:267–81.

    Article  CAS  Google Scholar 

  • Bresson C, Vitasse Y, Kremer A, Delzon S. To what extent is altitudinal variation of functional traits driven by genetic adaptation in European oak and beech? Tree Physiol. 2011;31:1164–74.

    Article  CAS  Google Scholar 

  • Choo GC, Kim GT. Vegetation structure of mountain ridge from Bubong to Poamsan in Baekdudaegan, Korea. Korean J Environ Ecol. 2005;19:83–9.

    Google Scholar 

  • Dai W, Huang Y. Relation of soil organic matter concentration to climate and altitude in zonal soils of China. Catena. 2006;65:87–94.

    Article  Google Scholar 

  • Fowler D, Cape JN, Leith ID, Choularton TW, Gay MJ, Jones A. The influence of altitude on rainfall composition at Great Dun Fell. Atmos Environ. 1988;22:1355–62.

    Article  CAS  Google Scholar 

  • Garnier E, Navas M. A trait-based approach to comparative functional plant ecology: concepts, methods and applications for agroecology. A review. Agron Sustain Dev. 2011;32:365–99.

    Article  Google Scholar 

  • Hart SC, Perry DA. Transferring soils from high- to low-elevation forests increases nitrogen cycling rates: climate change implications. Glob Chang Biol. 1999;5:23–32.

    Article  Google Scholar 

  • He X, Hou E, Liu Y, Wen D. Altitudinal patterns and controls of plant and soil nutrient concentrations and stoichiometry in subtropical China. Scientific Report. 2016;6:24261.

    Article  CAS  Google Scholar 

  • Huber E, Wanek W, Gottfried M, Pauli H, Schweiger P, Arndt SK, Reiter K, Richter A. Shift in soil-plant nitrogen dynamics of an alpine-nival ecotone. Plant Soil. 2007;301:65–76.

    Article  CAS  Google Scholar 

  • Hulshof C, Swenson NG. Variation in leaf functional trait values within and across individuals and species: an example from a Costa Rican dry forest. Funct Ecol. 2010;24:1365–2435.

    Article  Google Scholar 

  • Kim IT, Jeong SH. 4th Natural Environmental Survey (Jeonnam01). Ministry of Environment of Korea: National Institute of Ecology; 2015.

    Google Scholar 

  • Korner C. The use of ‘altitude’ in ecological research. Trends Ecol Evol. 2007;22:569–74.

    Article  Google Scholar 

  • Kunstler J, Falster D, Cooms DA, Hui F, Kooyman RM, Laughlin DC, Pooter L, Vanderwel M, Vieilledent G, Wright SJ, Aiba M, Baraloto C, Caspersen J, Cornelissen JHC, Gourlet-Fleury S, Hanewinkel M, Herault B, Kattge J, Kurokawa H, Onoda Y, Peñuelas J, Poorter H, Uriarte M, Richardson S, Ruiz-Benito PIFS, Ståhl G, Swenson NG, Thompson J, Westerlund B, Wirth C, Zavala ZA, Zeng H, Zimmerman JK, Zimmermann NE, Westoby M. Plant functional traits have globally consistent effects on competition. Nature. 2015;2:16476.

    Google Scholar 

  • Lee CB, Chun JH, Song HK, Cho HJ. Altitudinal patterns of plant species richness on Baekdudaegan Mountain, South Korea: mid-domain effect, area, climate, and Rapoport’ rule. Ecol Res. 2013;28:67–79.

    Article  Google Scholar 

  • Leigh EG. Structure and climate in tropical rain forest. Annu Rev Ecol Syst. 1975;6:67–86.

    Article  Google Scholar 

  • Minder JR, Mote PW, Lundquist JD. Surface temperature lapse rates over complex terrain: lessons from the Cascade Mountains. J Geophys Res Atmos. 2010;115:D14112.

    Article  Google Scholar 

  • Morecroft MD, Woodward FI. Experiments on the causes of altitudinal differences in the leaf nutrient contents, size and δ13C of Alchemilla alpina. New Phytol. 1996;134:471–9.

    Article  CAS  Google Scholar 

  • Mouillet D, Graham NAJ, Villeger S, Mason NWH, Bellood DR. A functional approach reveals community responses to disturbances. Trends Ecol Evol. 2010;28(3):167–77.

    Article  Google Scholar 

  • Park IH, Seo YK, Choi YC. Forest structure in relation to slope aspect and altitude in valley forests at Baraebong, Jirisan National Park. Korean J Environ Ecol. 2003;16:449–56.

    Google Scholar 

  • Pérez-Harguindeguy N, Díaz S, Garnier E, Lavorel A, Poorter H, Jaureguiberry P, Bret-Harte MS, Cornwell WK, Craine JM, Gurvich DE, Urcelay C, Veneklaas EJ, Reich PB, Poorter L, Wright IJ, Ray P, Enrico L, Pausas JG, de Vos AC, Buchmann N, Funes G, Quétier F, Hodgson JG, Thompson K, Morgan HD, ter Steege H, van der Heijden MGA, Sack L, Blonder B, Poschlod P, Vaieretti MV, Conti G, Staver AC, Aquino S, Cornelissen JHC. New handbook for standardised measurement of plant functional traits worldwide. Aust J Bot. 2013;61:167–234.

    Article  Google Scholar 

  • Pfennigwerth AA, Bailey JK, Schweitzer JA. Trait variation along elevation gradients in a dominant woody shrub is population-specific and driven by plasticity. AoB Plants. 2017;9:plx027.

    Article  Google Scholar 

  • Poorter H, Niinemets U, Poorter L, Wright IJ, Villar R. Causes and consequences of variation in leaf mass per area (LMA): a meta-analysis. New Phytol. 2009;182:565–88.

    Article  Google Scholar 

  • Pratt JD, Mooney KA. Clinal adaptation and adaptive plasticity in Artemisia californica: implications for the response of a foundation species to predicted climate change. Glob Chang Biol. 2013;19:2454–66.

    Article  Google Scholar 

  • Qasba S, Masoodi TH, Bhat SJA, Paray PA, Bhat A, Khanday MUD. Effect of altitude and aspect on soil physico-chemical characteristics in Shankaracharya reserved forest. Int J Pure Appl Biosci. 2017;5:585–96.

    Article  Google Scholar 

  • Quideau SA, Chadwick QA, Benesi A, Graham RC, Anderson MA. A direct link between forest vegetation type and soil organic matter composition. Geoderma. 2001;104:41–60.

    Article  CAS  Google Scholar 

  • R Development Core Team. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2011.

    Google Scholar 

  • Read QD, Moorhead LC, Swenson NG, Bailey JK, Sanders NJ. Convergent effects of elevation on functional leaf traits within and among species. Funct Ecol. 2014;28:37–45.

    Article  Google Scholar 

  • Reich P, Walters MB, Ellsworth DS. From tropics to tundra: global convergence in plant functioning. Proc Natl Acad Sci, USA. 1997;94:13730–4.

    Article  CAS  Google Scholar 

  • Rosbakh S, Romermann C, Psochlod P. Specific leaf area correlates with temperature: new evidence of trait variation at the population, species and community levels. Alp Bot. 2015;125:79–86.

    Article  Google Scholar 

  • Roscher C, Schumacher J, Gubsch M, Lipowsky A, Weigelt A, Buchmann N, Schmid B, Schulze ED. Using plant functional traits to explain diversity-productivity relationships. PLoS One. 2012;7(5):e36760.

    Article  CAS  Google Scholar 

  • Rueden CT, Schindelin J, Hiner MC, DeZonia BE, Walter AE, Arena ET, Eliceiri KW. ImageJ2: ImageJ for the next generation of scientific image data. BMC Bioinformatics. 2017;18:529.

    Article  Google Scholar 

  • Schob C, Armas C, Guler M, Prieto I, Pugnaire FI. Variability in functional traits mediates plant interactions along stress gradients. J Ecol. 2013;101:753–62.

    Article  Google Scholar 

  • Soethe N, Lehmann J, Engels C. Nutrient availability at different altitudes in a tropical montane forest in Ecuador. J Trop Ecol. 2008;24:397–406.

    Article  Google Scholar 

  • Sokol Z, Bliznk V. Areal distribution and precipitation-altitudinal relationship of heavy short-term precipitation in the Czech Republic in the warm part of the year. Atmos Res. 2009;94:652–62.

    Article  Google Scholar 

  • Tan ZX, lal R, Smeck NE, Calhoun FG. Relationships between surface soil organic carbon pool and site variables. Geoderma. 2004;121:185–7.

    Article  Google Scholar 

  • Tanner EVJ, Vitousek PM, Cuevas E. Experimental investigation of nutrient limitation of forest growth on wet tropical mountains. Ecology. 1998;79:10–22.

    Article  Google Scholar 

  • Tashi S, Singh B, Keitel C, Adams M. Soil carbon and nitrogen stock in forests along an altitudinal gradient in the eastern Himalayas and a meta-analysis of global data. Glob Chang Biol. 2016;22:2255–68.

    Article  Google Scholar 

  • Velazquez-Rosas N, Meave J. Elevational variation of leaf traits in montane rain forest tree species at La Chinantla, Southern Mexico. Biotropica. 2002;34:534–46.

    Article  Google Scholar 

  • West GB, Brown JH, Enquist BJ. A general model for the structure and allometry of plant vascular systems. Nature. 1999;400:664–7.

    Article  CAS  Google Scholar 

  • Westoby M, Falster DS, Moles AT, Vesk PA, Wright IJ. Plant ecological strategies: some leading dimensions of variation between species. Annu Rev Ecol Syst. 2002;33:125–59.

    Article  Google Scholar 

  • Zhao N, Yu G, He N, Xia F, Wang Q, Wang R, Xu Z, Jia Y. Invariant allometric scaling of nitrogen and phosphorus in leaves, stems, and fine roots of woody plants along an altitudinal gradient. J Plant Res. 2016;129:647–57.

    Article  CAS  Google Scholar 

Download references


Not applicable


This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (NRF-2015R1C1A1A01053841), (2017-0994).

Availability of data and materials

Please contact author for data requests.

Author information

Authors and Affiliations



KJN designed the study, carried out sampling, laboratory analysis and drafted the manuscript. EJL participated in the design of the study, participated in the laboratory analysis, and performed the statistical analysis. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Ki Jung Nam or Eun Ju Lee.

Ethics declarations

Ethics approval and consent to participate

Not applicable

Consent for publication

Not applicable

Competing interests

Both authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nam, K.J., Lee, E.J. Variation in leaf functional traits of the Korean maple (Acer pseudosieboldianum) along an elevational gradient in a montane forest in Southern Korea. j ecology environ 42, 33 (2018).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: