Next Article in Journal
LED and HPS Supplementary Light Differentially Affect Gas Exchange in Tomato Leaves
Previous Article in Journal
Morpho-Physiological, Biochemical, and Genetic Responses to Salinity in Medicago truncatula
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Communication

Shade Avoidance and Light Foraging of a Clonal Woody Species, Pachysandra terminalis

Laboratory of Plant Ecology, Department of Agro-Environmental Science, Obihiro University of Agriculture and Veterinary Medicine, Inadacho, Obihiro, Hokkaido 080-8555, Japan
*
Author to whom correspondence should be addressed.
Plants 2021, 10(4), 809; https://doi.org/10.3390/plants10040809
Submission received: 1 April 2021 / Revised: 14 April 2021 / Accepted: 15 April 2021 / Published: 20 April 2021
(This article belongs to the Section Plant Ecology)

Abstract

:
(1) Background: A central subject in clonal plant ecology is to elucidate the mechanism by which clones forage resources in heterogeneous environments. Compared with studies conducted in laboratories or experimental gardens, studies on light foraging of forest woody clonal plants in their natural habitats are limited. (2) Methods: We investigated wild populations of an evergreen clonal understory shrub, Japanese pachysandra (Pachysandra terminalis Siebold & Zucc.), in two cool-temperate forests in Japan. (3) Results: Similar to the results of herbaceous clonal species, this species formed a dense stand in a relatively well-lit place, and a sparse stand in a shaded place. Higher specific rhizome length (i.e., length per unit mass) in shade resulted in lower ramet population density in shade. The individual leaf area, whole-ramet leaf area, or ramet height did not increase with increased light availability. The number of flower buds per flowering ramet increased as the canopy openness or population density increased. (4) Conclusions: Our results provide the first empirical evidence of shade avoidance and light foraging with morphological plasticity for a clonal woody species.

1. Introduction

Clonal plants produce their offspring via not only sexual reproduction but also asexual reproduction, in which new individual clones with an identical gene set, called ramets, are generated [1,2,3,4,5,6]. Elucidating the mechanism by which clones forage resources in heterogeneous environments is a central issue in clonal plant ecology [4,5,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22], plant growth modeling [23], and their application in vegetation management [17,18,19,20,24,25,26,27,28,29,30,31]. Additionally, the spatial arrangement of ramets determines the reproductive success of clonal plants; this is because aggregation of ramets that belong to the same genets leads to an increased percentage of geitonogamous self-pollination [6].
Plants in forests are often shaded by neighboring plants or canopy trees [20,32,33,34,35,36,37,38,39]. The theory of resource foraging predicts that clonal plants selectively deploy ramets in places where resources are locally abundant [7,8,9,10,11,12,18,19,21,40,41]. The foraging of favorable resource-rich patches acts as a mechanism of escape from unfavorable patches, including shaded patches [9,12,18]. Avoidance of shade can be achieved at multiple levels [4,19,38]. In shade, clonal plants often increase specific rhizome length (i.e., length per unit mass) [7,18] and elongate their internodes [7,18,38,42] or increase their petiole length [38,42,43]. These increases in rhizome and petiole length are shade-induced spacer elongation phenomena [42,44]. To date, several researchers have investigated the resource foraging theory by experimentally studying clonal plants [7,8,9,11,19,38,41,44].
Most of the previous studies on resource foraging of clonal plants were performed using plants that were grown in pots or trays [7,8,9,18,19,24,40,42,44,45,46,47] and/or inside laboratories or greenhouses [7,8,19,24,45] rather than in their natural habitats. Nevertheless, it has been discussed that plants respond to their environment in different ways depending on whether they are grown in pots or in their natural habitats [5,48,49]. Plants in natural habitats experience greater fluctuations in their environment compared with plants that grow in pots or in greenhouses [32,48]. Particularly, artificial shading using shade cloths or films (e.g., [7,10,17,18,42,44,45,46,47,50,51,52,53,54]) does not produce sunflecks experienced by plants grown in natural forest understory [32,48]. However, compared with studies in laboratories or gardens, studies on resource foraging of wild plants in their natural habitats (e.g., [12,38,41]) are limited. Moreover, most of the previous studies on resource foraging of clonal plants have investigated herbaceous [7,8,9,10,11,12,16,17,18,19,20,24,38,40,41,42,44,46,47] or bamboo [13,15] species. The reproductive biology [1,29,55,56,57,58,59] and resultant genetic structure of populations [60,61,62] of clonal woody species have been studied intensively. However, to the best of our knowledge, no studies have quantitatively investigated light foraging or shade avoidance for clonal woody species. Hence, it is unclear whether the theory of light foraging can be applied to woody clonal plants in forest understory vegetation.
Japanese pachysandra (Pachysandra terminalis Siebold et Zucc.; Buxaceae) is a short-stature (ramet height approximately 15–35 cm at the study site), evergreen woody clonal species [63,64] that propagates using horizontal (plagiotropic) rhizomes (i.e., belowground stems) [65]. Each ramet comprises a single (usually unbranched) vertical aboveground stem and evergreen leaves with its appearance similar to an erect herb (Figure 1). This species forms a dense stand in a relatively well-lit place (Figure 1a) and a sparse stand in a shaded place (Figure 1b). It is a monoecious species with unisexual flowers, and the fruits are white drupes (Figure 1c). This species is distributed in East Asia [63], and it is widely used as a ground cover plant in Japan (pers. obs.) and several other countries [53,54,66,67,68]. Reports by Jeong and Kim [53] and Lee et al. [54] clarified mechanisms of shade acclimation at the level of an individual leaf or ramet (e.g., leaf photosynthetic traits and plasticity in aboveground vertical stem length, etc.), which were generally in agreement with typical shade acclimation responses of nonclonal plants. However, the mechanisms of light foraging and shade avoidance by the deployment of new ramets as a clonal plant were not investigated in these studies. Therefore, in the present study, we investigated a forest woody clonal plant that grows in its natural habitat to clarify the mechanism underlying light foraging and shade avoidance for this species.

2. Results

2.1. Ramet Population Density

Ramet population density increased as canopy openness increased (p < 0.01, Figure 2a). Consequently, the leaf area index (LAI, i.e., total leaf area per unit land area) increased as canopy openness increased (p < 0.01, Figure 2b). The positive correlation between the LAI and canopy openness was caused by the increment in correlated increase in ramet population density and canopy openness, rather than by the increment in individual leaf size or ramet size. The individual leaf area (p = 0.583), mean whole-ramet leaf area (p = 0.439), and mean ramet height (p = 0.434) did not significantly increase with the increasing canopy openness.

2.2. Morphological Plasticity

This species has two morphologically distinct types of horizontal rhizomes: thin and thick (Figure 3; see the Discussion for these two types). The mean specific rhizome length (SRL; i.e., length per unit mass) was significantly higher for thin rhizomes than for thick rhizomes (p < 0.001). For both thin and thick rhizomes, the SRL increased in shade (thin: p = 0.0356; thick: p = 0.0486). Consequently, the overall SRL, calculated by dividing the total rhizome length (i.e., sum of the total lengths of thick and thin rhizomes) by the total mass, increased in shade (p = 0.0241; Figure 4a). The increased SRL resulted in the lower population density in shade (p < 0.001; Figure 4b).
Although SRL decreased in shade for both types of rhizomes, responses of rhizome length per ramet to different light availability differed between thin and thick rhizomes. The rhizome length per ramet of thin rhizomes increased in shade, though the results were not significant (p = 0.0634; Figure 4c). The modest elongation of the thin rhizomes resulted in a lower ramet population density in shade (p < 0.001; Figure 4d). By contrast, the length of the thick rhizomes per ramet did not show clear dependency on canopy openness (p = 0.688; Figure 4e). In addition, contrary to our expectation, petiole length, which we thought would increase in shade, decreased in shade (p < 0.01; Figure 4f).

2.3. Sexual Reproduction

Probability of having at least one flower bud did not significantly increase as canopy openness increased (p = 0.959). Nevertheless, among the ramets with flower buds, the total number of flower buds on each ramet significantly increased as the canopy openness or ramet density increased (p < 0.01 for both cases, Figure 5a,b).

3. Discussion

Higher specific rhizome length (SRL) resulted in lower ramet density in shade (Figure 2a; Figure 4a,b). The SRL reflects the achievement of unit length of elongation per unit investment of biomass (similar to specific leaf area [32,69,70,71,72,73]). A higher SRL in shade was consistent with the results of other herbaceous clonal species (Glechoma hederacea [7] and Reynoutria japonica [18]). However, to the best of our knowledge, our result provides the first of its kind for a woody clonal species living in their natural forest habitats. Previous studies on herbaceous species have shown that the plasticity of horizontal stems differed among clonal species. For some species, the elongation of the stolon or rhizome internode length was observed (Cymbalaria muralis [42], Fragaria vesca [42], Glechoma hederacea [7], Hydrocotyle bonariensis [9], H. vulgaris [10], Lamium galeobdolon (syn. Lamiastrum galeobdolon) [10], Potentilla anglica [46], Reynoutria japonica [18], and Trifolium repens [44]). Conversely, the elongation was not observed for other species (Anagallis tenella [42], Glechoma hirsuta [42], Potentilla reptans [42,46], and Ranunculus repens [42]). Pachysandra terminalis has two types of horizontal rhizomes: thin rhizomes are milky-brown-white, whereas thick rhizomes are usually green or purple-red (Figure 3). Yoshie et al. [65] discussed that thin rhizomes sprout from existing underground rhizomes, whereas thick rhizomes originate from aboveground vertical stems that gradually descend and become underground horizontal rhizomes with roots. A thick rhizome might have an additional function as an underground storage organ, as a meter of each type allows this species to deploy offspring ramets one meter apart from the parent ramets.
The mean ramet leaf area did not increase as the canopy openness increased, consistent with the result observed for G. hederacea [7]. Given that neither ramet leaf area nor individual leaf area changed with the light availability, the increased population density was responsible for the increment of LAI (Figure 2b). Thus, although this species can tolerate shade, our results revealed that the effectiveness of ground cover as a gardening plant increased as the light availability increased. The number of flower buds per flowering ramet increased as canopy openness or ramet density increased (Figure 5). The increment in investment in sexual reproduction with the increment in ramet density is consistent with the results observed for dewberries (Rubus spp.) [1] and the clonal herb Ranunculus reptans [24].
We observed that the petiole length increased as the light availability increased (Figure 4e). Our result differs from most of the previous study results for the herbaceous clonal stoloniferous or rhizomatous species, where a longer petiole length in shade was observed (Cymbalaria muralis [42], Fragaria vesca [42], Glechoma hederacea [7,47], G. hirsuta [42], Hydrocotyle vulgaris [10], Lamium galeobdolon [10], Potentilla anglica [46], P. reptans [42,46], Ranunculus repens [42], Trifolium fragiferum [38,42], and T. repens [42,44]). However, no such trend was observed for Petasites japonicus [32]. Most of the herbaceous clonal species investigated so far have vertical petioles that directly elongate from horizontal aboveground stolons (but see the results related to an erect herb, L. galeobdolon [10]). Huber et al. [42,46] suggested a theory that vertically oriented (orthotropic) organs are more plastic in response to shade than horizontally oriented (plagiotropic) ones. Supporting this prediction, Huber et al. [42,46] showed that horizontal petioles that elongate from the vertical stems of erect herbaceous species were less plastic in response to shade compared with vertical petioles that elongate from horizontal stolons of clonal species from closely related taxa. Similar to these erect herbs, the species P. terminalis in the present study has horizontal petioles that elongate from vertical aboveground woody stems (which in turn connect to horizontal belowground rhizomes). The reason for this difference may be explained by the difference between vertical and horizontal structures of petioles, although other factors, such as the difference between herbaceous and woody species and/or between short-lived leaves of herbaceous species or long-lived evergreen leaves of woody species, may be present. In addition, as petioles do not only function as shade-avoidance structures but also as supporting tissues [74,75], their function could differ among the species with different leaf morphology. Currently, however, limited information is available on light foraging for woody clonal species.
Our study had several additional limitations. First, we did not investigate the special genetic structure of the populations. Therefore, although we found a difference in ramet density in different light environments, we cannot determine whether the ramets from the same genets aggregate in a dense stand (i.e., “phalanx form” [6,18,76,77]) or are sparsely dispersed and intermingled with other genets (i.e., “guerrilla form” [6,18,76,77]). The type of the spatial arrangement of ramets (phalanx or guerrilla) determines not only resource capture but also reproductive success, as an aggregation of ramets that belong to the same genets leads to an increased percentage of geitonogamous self-pollination [6]. Second, the total number of flowers may not provide an appropriate estimate of reproductive success through sexual reproduction because reproductive success is also determined by pollen limitation [78,79] and inbreeding depression caused by self-pollination [6,79,80]. Our data only showed that investment in sexual reproduction increased with the increment in ramet density, but it did not show the difference in reproductive success in different light environments. Third, only one woody clonal species was investigated for a short period. The differences among woody species from wider taxa and growth forms, especially shrub vs. tall trees and deciduous vs. evergreens, should be investigated in future studies. Given these important limitations, further studies are needed to reconfirm our findings before any generalization.

4. Materials and Methods

4.1. Study Sites

In 2020, we investigated wild populations in two nearby cool-temperate forests (approximately 3 km apart from each other) in an urban area of Obihiro City in Hokkaido, Japan. During the period in 1998–2017, the mean annual temperature and precipitation at the Obihiro Weather Station (approximately 6 km from the two study sites) were 7.2 °C and 937 mm, respectively [81]. The first site (F) was in the Forest of Obihiro (42°53′ N, 143°09′ E, altitude: 86 m a.s.l.), which is a secondary forest composed of a mixture of planted and regenerated trees comprising varieties of deciduous broad-leaved trees and evergreen coniferous trees. The second site (H) was located on the campus of the Hokkaido Obihiro Agricultural High School (45°52′ N 143°11′ E, altitude: 69 m a.s.l.). The forest comprises natural broad-leaved deciduous forests and planted coniferous forests, but the study was conducted only in a natural forest stand. The understory vegetation comprises a mixture of native species, which include Pachysandra terminalis, Sasa chartacea (Makino) Makino & Shibata, Cardiocrinum cordatum (Thunb.) Makino [78], and Phryma esquirolii H.Lév.

4.2. Sampling Strategy

We investigated 13 plots (F: n = 6, H: n = 7). In the Forest of Obihiro, P. terminalis covered the forest floor as discrete large patches, and one plot was established in each investigated patch. In the high school forest, the species continuously covered the range of ground of the investigated forest stand, and seven plots from different locations within the stand were established. Within each plot, we established two or three 1 m2 subplots, avoiding the edges of the patches or the stands. The total number of subplots was 33 (F: n = 14, H: n = 19). In one plot (H, #11), the field investigation was interrupted in summer due to a hornet nest in the plot; hence, some parameters (LAI and the ramet height) were not obtained.

4.3. Measurement of Canopy Openness

For each subplot, we estimated the canopy openness using hemispherical photographs [82,83,84] taken on cloudy days during the period of 4–6 May 2020, just after snow melt when the leaves of the upper canopy deciduous trees had not yet expanded. We used a light environment before canopy closure because photosynthesis before canopy closure is especially important for photosynthetic carbon gain for this understory shrub species [65,85]. The photographs were taken with a Nikon Fisheye Converter FC-E8 mounted on Nikon CoolPix P5100. The camera was set horizontally approximately 1 m above the ground using tubular spirit levels and a tripod. The images were binarized, and canopy openness was calculated using the CanopOn2 software [83].

4.4. Ramet Population Density in Spring and Sexual Reproduction

We counted the total number of ramets in each subplot from 29 April to 9 May, in 2020. Ramet population density in spring was defined as the number of ramets in each 1 m2 subplot. Each ramet was classified as either (1) a ramet with at least one flower bud or (2) a ramet without any flower buds, to calculate the percentage of flowering ramets in each subplot. The number of flower buds (i.e., the sum of female and male flower buds) was counted for all flowering ramets if the total number of flowering ramets in a plot did not exceed 10. If the number of flowering ramets in a plot exceeded 10, the number of flower buds was counted for the 10–15 haphazardly selected ramets.

4.5. Measurement of LAI

We estimated the leaf area on 13–14 July 2020, after the appearance of current-year leaves had completed. Five ramets that were adjacent to, and hence from the same stand of, each subplot were harvested. Immediately after sampling, the leaves were scanned with an A4 flatbed scanner (CanoScan LiDE 210; Canon, Tokyo). The individual leaf area was measured using ImageJ software [86], and the mean total leaf area per ramet was calculated. The leaf area index (LAI) was estimated as the product of the mean total leaf area per ramet and the number of ramets within each 1 m2 subplot. The height of ramets (defined as the distance between the ground surface and the point at which the highest leaf attached to the vertical stem) was measured for 8–12 ramets in each subplot on 30 July 2020.

4.6. Measurement of Rhizome Length and Ramet Population Density in Autumn

All belowground parts of P. terminalis were harvested in eight subplots (F: n = 6, H: n = 2) during 11–27 October 2020. The ramet population density in autumn was defined as the total number of ramets in each 1 m2 subplot. The two types of rhizomes (Figure 3) were sampled separately. Additionally, for each subplot, we sampled a total of 1 m of each type of rhizome, each of which comprised five to ten 10–20 cm parts. All of the harvested rhizomes were oven-dried at 70 °C for at least one week. The total dry mass of all rhizomes and 1 m samples for each subplot were measured with a precision balance. The total length of the rhizomes in each subplot was calculated by dividing the total mass by the mass per unit length of each type of rhizome. The total rhizome length was calculated as the sum of thick and thin rhizome lengths for each subplot. The mean rhizome length of each ramet was calculated by dividing the total rhizome length of each type by the number of ramets at the time of harvest. The specific rhizome length (SRL, i.e., length per unit mass) of each type of rhizome (thin and thick) was calculated as the inverse of the mass per unit length of the 1 m samples of each type. The overall SRL (thin and thick rhizomes combined) was calculated by dividing the total rhizome length by the total rhizome mass in each subplot; this value represents the proportions of thick and thin rhizomes and the SRL of each rhizome type.
The length of the petiole was measured for 15 leaves from five ramets (three leaves per ramet) in each subplot. Immediately after sampling, the leaves were scanned with an A4 flatbed scanner (CanoScan LiDE 210). The length of the petiole was measured using Image J software [86].

4.7. Statistical Analysis

All statistical analyses were performed with the statistical software R [87] using packages “cowplot” [88], “ggplot2” [89], and “lme4” [90]. Significance of the effect of each explanatory variable was tested with a generalized linear mixed model (GLMM) using the function glmer [90]. To predict binomial outcomes (a ramet either with at least one or without any flower bud), we used a logistic regression analysis with binomial error distribution (family = binomial (link = “logit”)) [91,92]. To predict positive and discrete dependent variables (number of ramets per unit land area and number of flower buds on each ramet), we used Poisson distribution (family = poisson (link = “log”)) [93,94]. To predict positive and continuous variables (the rest of the dependent variables), we used Gamma distribution (family = Gamma (link = “log”)) [95]. Following the arguments in [96], we constructed a model of maximal random effects structure by choosing all random effects that were justified by the design instead of choosing random variables via model selection. In the present case, random effects (i.e., ramet (only for petiole length and individual leaf area), subplot, plot, and site) were nested. When justified by the design, all these factors were included as nested random slopes and intercepts. The dataset presented in this paper is available as a part of the Supplementary Materials.

Supplementary Materials

The dataset and the original high-resolution photographs used in this article are available online at https://www.mdpi.com/article/10.3390/plants10040809/s1.

Author Contributions

Conceptualization, R.I.; methodology, R.I. and K.K.; formal analysis, R.I. and K.K.; investigation, R.I., K.K. and R.K.; data curation, R.I. and K.K. writing—original draft preparation, R.I.; writing—review and editing, R.I. and K.K.; supervision, K.K. All authors have read and agreed to the published version of the manuscript.

Funding

This work was funded by the Japan Society for the Promotion of Science (KAKENHI Grant Number 18K06406).

Data Availability Statement

The datasets used in this article are available in the Supplementary Materials.

Acknowledgments

We thank staff members of Hokkaido Obihiro Agricultural High School, Obihiro City Office, and Obihiro Forest Hagukumu for permitting us to perform the fieldwork at the study sites. We also thank Akio Takenaka for technical advice on CanopOn2.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Abrahamson, W.G. Reproductive strategies in dewberries. Ecology 1975, 56, 721–726. [Google Scholar] [CrossRef]
  2. Alpert, P.; Stuefer, J.F. Division of labour in clonal plants. In The Ecology and Evolution of Clonal Plants; de Kroon, H., van Groenendael, J., Eds.; Backhuys: Leiden, Netherlands, 1997; pp. 137–154. [Google Scholar]
  3. Radosavljević, I.; Antonić, O.; Hruševar, D.; Križan, J.; Satovic, Z.; Turković, D.; Liber, Z. The influence of a seedling recruitment strategy and a clonal architecture on a spatial genetic structure of a Salvia brachyodon (Lamiaceae) population. Plants 2020, 9, 828. [Google Scholar] [CrossRef] [PubMed]
  4. De Kroon, H.; Huber, H.; Stuefer, J.F.; Van Groenendael, J.M. A modular concept of phenotypic plasticity in plants. New Phytol. 2005, 166, 73–82. [Google Scholar] [CrossRef] [PubMed]
  5. Guo, J.; Li, H.; Yang, Y. Physiological integration increases sexual reproductive performance of the rhizomatous grass Hierochloe glabra. Plants 2020, 9, 1608. [Google Scholar] [CrossRef]
  6. Vallejo-Marín, M.; Dorken, M.E.; Barrett, S.C.H. The ecological and evolutionary consequences of clonality for plant mating. Annu. Rev. Ecol. Evol. Syst. 2010, 41, 193–213. [Google Scholar] [CrossRef]
  7. Slade, A.J.; Hutchings, M.J. The effects of light intensity on foraging in the clonal herb Glechoma hederacea. J. Ecol. 1987, 75, 639–650. [Google Scholar] [CrossRef]
  8. Slade, A.J.; Hutchings, M.J. The effects of nutrient availability on foraging in the clonal herb Glechoma hederacea. J. Ecol. 1987, 75, 95–112. [Google Scholar] [CrossRef]
  9. Evans, J.P.; Cain, M.L. A spatially explicit test of foraging behavior in a clonal plant. Ecology 1995, 76, 1147–1155. [Google Scholar] [CrossRef]
  10. Dong, M. Morphological responses to local light conditions in clonal herbs from contrasting habitats, and their modification due to physiological integration. Oecologia 1995, 101, 282–288. [Google Scholar] [CrossRef]
  11. Roiloa, S.R.; Retuerto, R. Small-scale heterogeneity in soil quality influences photosynthetic efficiency and habitat selection in a clonal plant. Ann. Bot. 2006, 98, 1043–1052. [Google Scholar] [CrossRef]
  12. Xie, K.; Zhao, X.; Zhang, Y.; Dong, K.; Fenghe, L.; LI, X. Growth characteristics of Potentilla anserina determined by analyzing small-scale patchy habitats. Pak. J. Bot. 2015, 47, 967–978. [Google Scholar]
  13. Tomimatsu, H.; Matsuo, A.; Kaneko, Y.; Kudo, E.; Taniguchi, R.; Saitoh, T.; Suyama, Y.; Makita, A. Spatial genet dynamics of a dwarf bamboo: Clonal expansion into shaded forest understory contributes to regeneration after an episodic die-off. Plant Spec. Biol. 2020, 35, 185–196. [Google Scholar] [CrossRef]
  14. Wang, J.; Xu, T.; Wang, Y.; Li, G.; Abdullah, I.; Zhong, Z.; Liu, J.; Zhu, W.; Wang, L.; Wang, D.; et al. A meta-analysis of effects of physiological integration in clonal plants under homogeneous vs. heterogeneous environments. Funct. Ecol. 2021, 35, 578–589. [Google Scholar] [CrossRef]
  15. Jing, X.; Cai, C.; Fan, S.; Liu, G.; Wu, C.; Chen, B. Effects of rhizome integration on the water physiology of Phyllostachys edulis clones under heterogeneous water stress. Plants 2020, 9, 373. [Google Scholar] [CrossRef] [PubMed]
  16. Eilts, J.A.; Mittelbach, G.G.; Reynolds, H.L.; Gross, K.L. Resource heterogeneity, soil fertility, and species diversity: Effects of clonal species on plant communities. Am. Nat. 2011, 177, 574–588. [Google Scholar] [CrossRef]
  17. Portela, R.; Barreiro, R.; Roiloa, S.R. Biomass partitioning in response to resources availability: A comparison between native and invaded ranges in the clonal invader Carpobrotus edulis. Plant Spec. Biol. 2019, 34, 11–18. [Google Scholar] [CrossRef]
  18. Martin, F.-M. Clonal growth strategies of Reynoutria japonica in response to light, shade, and mowing, and perspectives for management. NeoBiota 2020, 56, 89–110. [Google Scholar] [CrossRef]
  19. Roiloa, S.R.; Rodriguez-Echeverria, S.; Lopez-Otero, A.; Retuerto, R.; Freitas, H. Adaptive plasticity to heterogeneous environments increases capacity for division of labor in the clonal invader Carpobrotus edulis (Aizoaceae). Am. J. Bot. 2014, 101, 1301–1308. [Google Scholar] [CrossRef]
  20. Cole, P.G.; Weltzin, J.F. Light limitation creates patchy distribution of an invasive grass in eastern deciduous forests. Biol Invasions 2005, 7, 477–488. [Google Scholar] [CrossRef]
  21. Klimešová, J.; Martínková, J.; Herben, T. Horizontal growth: An overlooked dimension in plant trait space. Perspect. Plant Ecol. Evol. Syst. 2018, 32, 18–21. [Google Scholar] [CrossRef]
  22. Ning, Y.; Zhang, Z.X.; Cui, L.J.; Zou, C.L. Adaptive significance of and factors affecting plasticity of biomass allocation and rhizome morphology: A case study of the clonal plant Scirpus planiculmis (Cyperaceae). Pol. J. Ecol. 2014, 62, 77–88. [Google Scholar] [CrossRef]
  23. Ruiz-Reynés, D.; Martín, L.; Hernández-García, E.; Knobloch, E.; Gomila, D. Patterns, localized structures and fronts in a reduced model of clonal plant growth. Physica D 2020, 414, 132723. [Google Scholar] [CrossRef]
  24. Van Kleunen, M.; Fischer, M.; Schmid, B. Effects of intraspecific competition on size variation and reproductive allocation in a clonal plant. Oikos 2001, 94, 515–524. [Google Scholar] [CrossRef]
  25. Bakacsy, L.; Bagi, I. Survival and regeneration ability of clonal common milkweed (Asclepias syriaca L.) after a single herbicide treatment in natural open sand grasslands. Sci. Rep. 2020, 10, 14222. [Google Scholar] [CrossRef] [PubMed]
  26. Wang, Y.-J.; Chen, D.; Yan, R.; Yu, F.-H.; van Kleunen, M. Invasive alien clonal plants are competitively superior over co-occurring native clonal plants. Perspect. Plant Ecol. Evol. Syst. 2019, 40, 125484. [Google Scholar] [CrossRef]
  27. O’Connor, R.C.; Taylor, J.H.; Nippert, J.B. Browsing and fire decreases dominance of a resprouting shrub in woody encroached grassland. Ecology 2020, 101, e02935. [Google Scholar] [CrossRef] [PubMed]
  28. Keser, L.H.; Dawson, W.; Song, Y.B.; Yu, F.H.; Fischer, M.; Dong, M.; van Kleunen, M. Invasive clonal plant species have a greater root-foraging plasticity than non-invasive ones. Oecologia 2014, 174, 1055–1064. [Google Scholar] [CrossRef] [PubMed]
  29. Zheng, Y.; Jiao, P.; Zhao, Z.; Li, Z. Clonal growth of Populus pruinosa Schrenk and its role in the regeneration of riparian forests. Ecol. Eng. 2016, 94, 380–392. [Google Scholar] [CrossRef]
  30. Colleran, B.; Lacy, S.N.; Retamal, M.R. Invasive Japanese knotweed (Reynoutria japonica Houtt.) and related knotweeds as catalysts for streambank erosion. River Res. Appl. 2020, 36, 1962–1969. [Google Scholar] [CrossRef]
  31. Martin, F.-M.; Dommanget, F.; Evette, A. Improving the management of Japanese knotweed s.l.: A response to Jones and colleagues. NeoBiota 2020, 63, 147–153. [Google Scholar] [CrossRef]
  32. Deguchi, R.; Koyama, K. Photosynthetic and morphological acclimation to high and low light environments in Petasites japonicus subsp. giganteus. Forests 2020, 11, 1365. [Google Scholar] [CrossRef]
  33. Chazdon, R.L. Sunflecks and their importance to forest understorey plants. In Advances in Ecological Research; Begon, M., Fitter, A.H., Ford, E.D., Macfadyen, A., Eds.; Academic Press: London, UK, 1988; Volume 18, pp. 1–63. [Google Scholar]
  34. Morales, A.; Kaiser, E. Photosynthetic acclimation to fluctuating irradiance in plants. Front. Plant Sci. 2020, 11, 268. [Google Scholar] [CrossRef]
  35. Parker, G.G.; Fitzjarrald, D.R.; Gonçalves Sampaio, I.C. Consequences of environmental heterogeneity for the photosynthetic light environment of a tropical forest. Agr. Forest Meteorol. 2019, 278, 107661. [Google Scholar] [CrossRef]
  36. Hartikainen, S.M.; Pieristè, M.; Lassila, J.; Robson, T.M. Seasonal patterns in spectral irradiance and leaf UV-A absorbance under forest canopies. Front. Plant Sci. 2020, 10. [Google Scholar] [CrossRef]
  37. Miyashita, A.; Sugiura, D.; Sawakami, K.; Ichihashi, R.; Tani, T.; Tateno, M. Long-term, short-interval measurements of the frequency distributions of the photosynthetically active photon flux density and net assimilation rate of leaves in a cool-temperate forest. Agr. For. Meteorol. 2012, 152, 1–10. [Google Scholar] [CrossRef]
  38. Huber, H.; Wiggerman, L. Shade avoidance in the clonal herb Trifolium fragiferum: A field study with experimentally manipulated vegetation height. Plant Ecol. 1997, 130, 53–62. [Google Scholar] [CrossRef]
  39. Min, B.-M. Changes in resource allocation among vegetative organs during the clonal growth of Polygonatum humile (Liliaceae) grown in a temperate forest gap. J. Ecol. Environ. 2017, 41, 30. [Google Scholar] [CrossRef]
  40. Birch, C.P.D.; Hutchings, M.J. Exploitation of patchily distributed soil resources by the clonal herb Glechoma hederacea. J. Ecol. 1994, 82, 653–664. [Google Scholar] [CrossRef]
  41. Waite, S. Field evidence of plastic growth responses to habitat heterogeneity in the clonal herb Ranunculus repens. Ecol. Res. 1994, 9, 311–316. [Google Scholar] [CrossRef]
  42. Huber, H.; Fijan, A.; During, H.J. A comparative study of spacer plasticity in erect and stoloniferous herbs. Oikos 1998, 81, 576–586. [Google Scholar] [CrossRef]
  43. Takenaka, A. Effects of leaf blade narrowness and petiole length on the light capture efficiency of a shoot. Ecol. Res. 1994, 9, 109–114. [Google Scholar] [CrossRef]
  44. Huber, H.; de Brouwer, J.; de Caluwe, H.; Wijschede, J.; Anten, N.P.R. Shade induced changes in biomechanical petiole properties in the stoloniferous herb Trifolium repens. Evol. Ecol. 2008, 22, 399–417. [Google Scholar] [CrossRef]
  45. Huber, H.; Stuefer, J.F. Shade-induced changes in the branching pattern of a stoloniferous herb: Functional response or allometric effect? Oecologia 1997, 110, 478–486. [Google Scholar] [CrossRef]
  46. Huber, H. Plasticity of internodes and petioles in postrate and erect Potentilla species. Funct. Ecol. 1996, 10, 401–409. [Google Scholar] [CrossRef]
  47. Wijesinghe, D.K.; Hutchings, M.J. Consequences of patchy distribution of light for the growth of the clonal herb Glechoma hederacea. Oikos 1996, 77, 137–145. [Google Scholar] [CrossRef]
  48. Poorter, H.; Fiorani, F.; Pieruschka, R.; Wojciechowski, T.; van der Putten, W.H.; Kleyer, M.; Schurr, U.; Postma, J. Pampered inside, pestered outside? Differences and similarities between plants growing in controlled conditions and in the field. New Phytol. 2016, 212, 838–855. [Google Scholar] [CrossRef] [PubMed]
  49. Tammaru, K.; Košnar, J.; Abbas, A.F.; Barta, K.A.; de Bello, F.; Harrison, S.; Degli, E.I.; Kiss, R.; Lukács, K.; Neumann, S.M.; et al. Ecological differentiation of Carex species coexisting in a wet meadow: Comparison of pot and field experiments. Acta Oecol. 2021, 110, 103692. [Google Scholar] [CrossRef]
  50. Kitajima, K. Relative importance of photosynthetic traits and allocation patterns as correlates of seedling shade tolerance of 13 tropical trees. Oecologia 1994, 98, 419–428. [Google Scholar] [CrossRef]
  51. Onoda, Y.; Schieving, F.; Anten, N.P. Effects of light and nutrient availability on leaf mechanical properties of Plantago major: A conceptual approach. Ann. Bot. 2008, 101, 727–736. [Google Scholar] [CrossRef]
  52. Wan, Y.; Zhang, Y.; Zhang, M.; Hong, A.; Yang, H.; Liu, Y. Shade effects on growth, photosynthesis and chlorophyll fluorescence parameters of three Paeonia species. PeerJ 2020, 8, e9316. [Google Scholar] [CrossRef]
  53. Jeong, H.H.; Kim, K.S. Effects of shading on the growth of Hedera rhombea Bean and Pachysandra terminalis Sieb. et Zucc. Korea J. Hort. Sci. Tech. 1999, 17, 29–32. [Google Scholar]
  54. Lee, J.S.; Jeong, S.J.; Heo, J.A.; Kang, H.J.; Hwang, S.Y.; Kim, Y.-K. Light intensity levels and growth inhibitors on growth of shade tolerant Japanese spurge (Pachysandra terminalis). J. Korea Soc. Hort. Sci. 2002, 43, 137–142. [Google Scholar]
  55. Lovett Doust, J.; Lovett Doust, L. Modules of production and reproduction in a dioecious clonal shrub, Rhus typhina. Ecology 1988, 69, 741–750. [Google Scholar] [CrossRef]
  56. Yakimowski, S.B.; Eckert, C.G. Threatened peripheral populations in context: Geographical variation in population frequency and size and sexual reproduction in a clonal woody shrub. Conserv. Biol. 2007, 21, 811–822. [Google Scholar] [CrossRef] [PubMed]
  57. Würth, D.G.; Eusemann, P.; Trouillier, M.; Buras, A.; Burger, A.; Wilmking, M.; Roland, C.A.; Juday, G.P.; Schnittler, M. Environment drives spatiotemporal patterns of clonality in white spruce (Picea glauca) in Alaska. Can. J. For. Res. 2018, 48, 1577–1586. [Google Scholar] [CrossRef]
  58. Isogimi, T.; Matsushita, M.; Nakagawa, M. Species-specific sprouting pattern in two dioecious Lindera shrubs: The role of physiological integration. Flora 2014, 209, 718–724. [Google Scholar] [CrossRef]
  59. Hosaka, N.; Kachi, N.; Kudoh, H.; Stuefer, J.F.; Whigham, D.F. Compensatory growth of the clonal understory tree, Asimina triloba, in response to small-scale disturbances. Plant Ecol. 2016, 217, 471–480. [Google Scholar] [CrossRef]
  60. Kimura, M.K.; Nagashima, T.; Kamitani, T.; Sakio, H.; Tsumura, Y. Recent clonal reproduction of Cryptomeria japonica in a snowy region revealed by a survey of small-sized ramets. Silv. Gen. 2020, 69, 152–157. [Google Scholar] [CrossRef]
  61. Yaegashi, S.; Omura, T.; Watanabe, K. Spatial genetic structure of the invasive tree Robinia pseudoacacia to determine migration patterns to inform best practices for riparian restoration. AoB Plants 2020, 12, plaa043. [Google Scholar] [CrossRef]
  62. Nakamura, M.; Nanami, S.; Okuno, S.; Hirota, S.K.; Matsuo, A.; Suyama, Y.; Tokumoto, H.; Yoshihara, S.; Itoh, A. Genetic diversity and structure of apomictic and sexually reproducing Lindera species (Lauraceae) in Japan. Forests 2021, 12, 227. [Google Scholar] [CrossRef]
  63. Ohashi, H.; Kadota, Y.; Murata, J.; Yonekura, K.; Kihara, H. Wild flowers of Japan; Heibonsha: Tokyo, Japan, 2015. [Google Scholar]
  64. Ishioka, R.; Muller, O.; Hiura, T.; Kudo, G. Responses of leafing phenology and photosynthesis to soil warming in forest-floor plants. Acta Oecologica 2013, 51, 34–41. [Google Scholar] [CrossRef]
  65. Yoshie, F.; Arai, H.; Nakashima, H.; Kawano, S. Seasonal changes in nitrogen fractions of Pachysandra terminalis, a forest evergreen chamaephyte. Physiol. Plant. 1990, 79, 7–14. [Google Scholar] [CrossRef]
  66. Zhou, S.; Sauvé, R.J.; Mmbaga, M.T. Adaptation of Pachysandra terminalis Sieb. & Zucc. to freezing temperatures by the accumulation of mRNA and cold-induced proteins. HortScience 2005, 40, 346. [Google Scholar] [CrossRef]
  67. Jiao, Z.; Li, J. Phylogenetics and biogeography of eastern Asian–North American disjunct genus Pachysandra (Buxaceae) inferred from nucleotide sequences. J. Syst. Evol. 2009, 47, 191–201. [Google Scholar] [CrossRef]
  68. Jeong, M.I.; Jeong, N.R.; Han, S.W.; Kim, J.S. Analyzing growth reactions of herbaceous plants for irrigation management. J. People Plants Environ. 2020, 23, 255–265. [Google Scholar] [CrossRef]
  69. Ntawuhiganayo, E.B.; Uwizeye, F.K.; Zibera, E.; Dusenge, M.E.; Ziegler, C.; Ntirugulirwa, B.; Nsabimana, D.; Wallin, G.; Uddling, J. Traits controlling shade tolerance in tropical montane trees. Tree Physiol. 2020, 40, 183–197. [Google Scholar] [CrossRef]
  70. Dos Santos, V.A.H.F.; Ferreira, M.J. Are photosynthetic leaf traits related to the first-year growth of tropical tree seedlings? A light-induced plasticity test in a secondary forest enrichment planting. For. Ecol. Manage. 2020, 460, 117900. [Google Scholar] [CrossRef]
  71. Poorter, H.; Niinemets, U.; Ntagkas, N.; Siebenkas, A.; Maenpaa, M.; Matsubara, S.; Pons, T. A meta-analysis of plant responses to light intensity for 70 traits ranging from molecules to whole plant performance. New Phytol. 2019, 223, 1073–1105. [Google Scholar] [CrossRef] [PubMed]
  72. Miyashita, A.; Tateno, M. A novel index of leaf RGR predicts tree shade tolerance. Funct. Ecol. 2014, 28, 1321–1329. [Google Scholar] [CrossRef]
  73. Pons, T.L.; Poorter, H. The effect of irradiance on the carbon balance and tissue characteristics of five herbaceous species differing in shade-tolerance. Front. Plant Sci. 2014, 5, 12. [Google Scholar] [CrossRef] [PubMed]
  74. Niinemets, U.; Portsmuth, A.; Tena, D.; Tobias, M.; Matesanz, S.; Valladares, F. Do we underestimate the importance of leaf size in plant economics? Disproportional scaling of support costs within the spectrum of leaf physiognomy. Ann. Bot. 2007, 100, 283–303. [Google Scholar] [CrossRef]
  75. Niinemets, Ü.; Portsmuth, A.; Tobias, M. Leaf size modifies support biomass distribution among stems, petioles and mid-ribs in temperate plants. New Phytol. 2006, 171, 91–104. [Google Scholar] [CrossRef]
  76. Schmid, B.; Harper, J.L. Clonal growth in grassland perennials: I. Density and pattern-dependent competition between plants with different growth forms. J. Ecol. 1985, 73, 793–808. [Google Scholar] [CrossRef]
  77. Doust, L.L. Population dynamics and local specialization in a clonal perennial (Ranunculus repens): I. The dynamics of ramets in contrasting habitats. J. Ecol. 1981, 69, 743–755. [Google Scholar] [CrossRef]
  78. Komamura, R.; Koyama, K.; Yamauchi, T.; Konno, Y.; Gu, L. Pollination contribution differs among insects visiting Cardiocrinum cordatum flowers. Forests 2021, 12, 452. [Google Scholar] [CrossRef]
  79. Rostás, M.; Bollmann, F.; Saville, D.; Riedel, M. Ants contribute to pollination but not to reproduction in a rare calcareous grassland forb. PeerJ 2018, 6, e4369. [Google Scholar] [CrossRef] [PubMed]
  80. Al-Qthanin, R.N.; Alharbi, S.A. Spatial structure and genetic variation of a mangrove species (Avicennia marina (Forssk.) Vierh) in the Farasan Archipelago. Forests 2020, 11. [Google Scholar] [CrossRef]
  81. Japan Meteorological Agency. Available online: https://www.jma.go.jp (accessed on 14 September 2020).
  82. Anderson, M.C. Studies of the woodland light climate: I. The photographic computation of light conditions. J. Ecol. 1964, 52, 27–41. [Google Scholar] [CrossRef]
  83. Takenaka, A. CanopOn 2 ver. 2.03c. Available online: http://takenaka-akio.org/etc/canopon2/ (accessed on 26 September 2020).
  84. Takenaka, A.; Inui, Y.; Osawa, A. Measurement of three-dimensional structure of plants with a simple device and estimation of light capture of individual leaves. Funct. Ecol. 1998, 12, 159–165. [Google Scholar] [CrossRef]
  85. Yoshie, F.; Kawano, S. Seasonal changes in photosynthetic characteristics of Pachysandra terminalis (Buxaceae), an evergreen woodland chamaephyte, in the cool temperate regions of Japan. Oecologia 1986, 71, 6–11. [Google Scholar] [CrossRef]
  86. Schneider, C.A.; Rasband, W.S.; Eliceiri, K.W. NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 2012, 9, 671. [Google Scholar] [CrossRef]
  87. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2021. [Google Scholar]
  88. Wilke, C.O. Cowplot: Streamlined Plot Theme and Plot Annotations for ‘ggplot2’. CRAN Repos 2016, 2, R2. [Google Scholar]
  89. Wickham, H. ggplot2: Elegant Graphics for Data Analysis; Springer International Publishing: Cham, Switzerland, 2016. [Google Scholar]
  90. Bates, D.; Mächler, M.; Bolker, B.; Walker, S. Fitting linear mixed-effects models using lme4. J. Stat. Softw. 2015, 67, 48. [Google Scholar] [CrossRef]
  91. Alcántara, J.M.; Rey, P.J. Conflicting selection pressures on seed size: Evolutionary ecology of fruit size in a bird-dispersed tree, Olea europaea. J. Evol. Biol. 2003, 16, 1168–1176. [Google Scholar] [CrossRef] [PubMed]
  92. Koyama, K.; Shirakawa, H.; Kikuzawa, K. Redeployment of shoots into better-lit positions within the crowns of saplings of five species with different growth patterns. Forests 2020, 11, 1301. [Google Scholar] [CrossRef]
  93. Staab, M.; Pereira-Peixoto, M.H.; Klein, A.-M. Exotic garden plants partly substitute for native plants as resources for pollinators when native plants become seasonally scarce. Oecologia 2020, 194, 465–480. [Google Scholar] [CrossRef]
  94. Koyama, K.; Tashiro, M. No effect of selective maturation on fruit traits for a bird-dispersed species, Sambucus racemosa. Plants 2021, 10, 376. [Google Scholar] [CrossRef] [PubMed]
  95. Case, S.B.; Tarwater, C.E. Functional traits of avian frugivores have shifted following species extinction and introduction in the Hawaiian Islands. Funct. Ecol. 2020, 34, 2467–2476. [Google Scholar] [CrossRef]
  96. Barr, D.J.; Levy, R.; Scheepers, C.; Tily, H.J. Random effects structure for confirmatory hypothesis testing: Keep it maximal. J. Mem. Lang. 2013, 68, 255–278. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Photographs of Pachysandra terminalis Siebold et Zucc. (a) A dense stand in a relatively better-lit plot. (b) A sparse stand in a shaded plot. (c) Drupes. Markings or numberings by ink pens appear on some leaves. Photographs were taken on 1 October 2020 by Kohei Koyama. High-resolution images are available in the Supplementary Materials.
Figure 1. Photographs of Pachysandra terminalis Siebold et Zucc. (a) A dense stand in a relatively better-lit plot. (b) A sparse stand in a shaded plot. (c) Drupes. Markings or numberings by ink pens appear on some leaves. Photographs were taken on 1 October 2020 by Kohei Koyama. High-resolution images are available in the Supplementary Materials.
Plants 10 00809 g001
Figure 2. (a) Population density (i.e., the total number of ramets in each 1 m2 subplot) in spring and (b) leaf area index (LAI, i.e., total leaf area per unit land area) in relation to canopy openness in spring. Each symbol indicates the value of one subplot. Red: Forest of Obihiro. Blue: forest of the Hokkaido Obihiro Agricultural High School. The dataset is available as a part of the Supplementary Materials.
Figure 2. (a) Population density (i.e., the total number of ramets in each 1 m2 subplot) in spring and (b) leaf area index (LAI, i.e., total leaf area per unit land area) in relation to canopy openness in spring. Each symbol indicates the value of one subplot. Red: Forest of Obihiro. Blue: forest of the Hokkaido Obihiro Agricultural High School. The dataset is available as a part of the Supplementary Materials.
Plants 10 00809 g002
Figure 3. (a) Thin and (b) thick rhizomes. Photographs were taken on 18 October 2020, by Kohei Koyama. High-resolution images are available in the Supplementary Materials.
Figure 3. (a) Thin and (b) thick rhizomes. Photographs were taken on 18 October 2020, by Kohei Koyama. High-resolution images are available in the Supplementary Materials.
Plants 10 00809 g003
Figure 4. (a) Specific rhizome length (SRL; i.e., length per unit mass, thin and thick combined) in relation to canopy openness. (b) Population density (i.e., the number of ramets in each 1 m2 subplot in autumn) in relation to SRL. (c) Thin rhizome length per ramet (i.e., the total thin rhizome length in each subplot divided by the number of ramets in that subplot) in relation to canopy openness. (d) Dependence of population density on thin rhizome length per ramet. (e) Thick rhizome length per ramet in relation to canopy openness. (f) Mean petiole length in relation to canopy openness. Each symbol indicates the value of one subplot. Red: Forest of Obihiro. Blue: forest of the Hokkaido Obihiro Agricultural High School. The dataset is available as a part of the Supplementary Materials.
Figure 4. (a) Specific rhizome length (SRL; i.e., length per unit mass, thin and thick combined) in relation to canopy openness. (b) Population density (i.e., the number of ramets in each 1 m2 subplot in autumn) in relation to SRL. (c) Thin rhizome length per ramet (i.e., the total thin rhizome length in each subplot divided by the number of ramets in that subplot) in relation to canopy openness. (d) Dependence of population density on thin rhizome length per ramet. (e) Thick rhizome length per ramet in relation to canopy openness. (f) Mean petiole length in relation to canopy openness. Each symbol indicates the value of one subplot. Red: Forest of Obihiro. Blue: forest of the Hokkaido Obihiro Agricultural High School. The dataset is available as a part of the Supplementary Materials.
Plants 10 00809 g004
Figure 5. Mean number of flower buds on each ramet in relation to (a) canopy openness and to (b) population density (i.e., number of ramets in each subplot) in spring. Each symbol indicates the value of one subplot. Red: Forest of Obihiro. Blue: forest of the Hokkaido Obihiro Agricultural High School. The dataset is available as a part of the Supplementary Materials.
Figure 5. Mean number of flower buds on each ramet in relation to (a) canopy openness and to (b) population density (i.e., number of ramets in each subplot) in spring. Each symbol indicates the value of one subplot. Red: Forest of Obihiro. Blue: forest of the Hokkaido Obihiro Agricultural High School. The dataset is available as a part of the Supplementary Materials.
Plants 10 00809 g005
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Iwabe, R.; Koyama, K.; Komamura, R. Shade Avoidance and Light Foraging of a Clonal Woody Species, Pachysandra terminalis. Plants 2021, 10, 809. https://doi.org/10.3390/plants10040809

AMA Style

Iwabe R, Koyama K, Komamura R. Shade Avoidance and Light Foraging of a Clonal Woody Species, Pachysandra terminalis. Plants. 2021; 10(4):809. https://doi.org/10.3390/plants10040809

Chicago/Turabian Style

Iwabe, Risa, Kohei Koyama, and Riko Komamura. 2021. "Shade Avoidance and Light Foraging of a Clonal Woody Species, Pachysandra terminalis" Plants 10, no. 4: 809. https://doi.org/10.3390/plants10040809

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop