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Anatomical characteristics and resprouting capacity of the underground organs of Bohemian knotweed (Polygonum ×bohemicum)

Published online by Cambridge University Press:  15 January 2024

Antoine Jousson*
Affiliation:
Research Collaborator, Research Group Neobiota, Agroscope, Cadenazzo, Switzerland Research Collaborator, Insubric Ecosystem Research Group, Swiss Federal Research Institute WSL, Cadenazzo, Switzerland
Marco Conedera
Affiliation:
Researcher Manager, Insubric Ecosystem Research Group, Swiss Federal Research Institute WSL, Cadenazzo, Switzerland
Patrik Krebs
Affiliation:
Researcher, Insubric Ecosystem Research Group, Swiss Federal Research Institute WSL, Cadenazzo, Switzerland
Guido Maspoli
Affiliation:
Cantonal Manager, Ufficio della Natura e del Paesaggio del Canton Ticino, Dipartimento del Territorio, Bellinzona, Switzerland
Gianni Boris Pezzatti
Affiliation:
Researcher, Insubric Ecosystem Research Group, Swiss Federal Research Institute WSL, Cadenazzo, Switzerland
*
Corresponding author: Antoine Jousson; Email: [email protected]
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Abstract

The hybrid Bohemian knotweed [Polygonum ×bohemicum (J. Chrtek & Chrtková) Zika & Jacobson [cuspidatum × sachalinense]; syn.: Reynoutria ×bohemica Chrtek & Chrtková] is part of the worldwide problematic rhizomatous invasive plants that impact (semi-)natural and agricultural systems. In this context, precise knowledge about the morpho-anatomy and resprouting capacity of the underground organs is key information for developing efficient eradication measures. In the present study, we aimed at (1) clarifying existing differences in the morpho-anatomical characteristics of rhizomes and roots, (2) developing an easy-to-apply field identification method for the underground organs, and (3) identifying the main morpho-anatomical features enhancing the rhizomes’ resprouting ability. For this purpose, we collected the underground organs of two wild populations of P. ×bohemicum in Canton Ticino (southern Switzerland) and analyzed the morpho-anatomical differences between rhizomes and roots, using high-resolution microscope images and microtome sections. Collected material was then used for a resprouting capacity test after assessing rhizome characteristics such as weight, total diameter, pith diameter, pith brightness, and pith color. In contrast to roots, rhizomes are characterized by pith tissue in the center and display nodes with peripheral dormant buds that enable them to resprout. Resprouting ability of rhizomes was high (87.1% on average) and depended on the ontogenetic developmental stage of the organs (peak values of 97% for young and clearer-colored organs, 50% for old and dark ones). In conclusion, the smooth pith tissue of rhizomes represents a key discriminating feature between rhizomes and roots, whereas relating existing nodes to the corresponding rhizome pith color allows assessment of the resprouting potential of a knotweed population.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Weed Science Society of America

Introduction

Native to Japan, China, Korea, and Taiwan, the Japanese knotweeds (Polygonum cuspidatum Siebold & Zucc.; syn.: Reynoutria japonica aggr.; InfoFlora 2023) belonging to the genus Polygonum (syn.: Fallopia Adans.; syn.: Polygonum L.; Polygonaceae) are considered among the worst invasive neophytes in many parts of the world (Lowe et al. Reference Lowe, Browne, Boudjelas and De Poorter2000). They are herbaceous perennial plants with annual tubular stems reaching 3- to 5-m high depending on the (sub)species (Alberternst and Böhmer Reference Alberternst and Böhmer2011; InfoFlora 2023). Their dense populations can locally completely overgrow other plant species, causing major impacts on the (semi-)natural systems of concern (Aguilera et al. Reference Aguilera, Alpert, Dukes and Harrington2010; Gerber et al. Reference Gerber, Murrell, Krebs, Bilat and Schaffner2010; Hejda et al. Reference Hejda, Pyšek and Jarosík2009; Künzi et al. Reference Künzi, Prati, Fischer and Boch2015; Lavoie Reference Lavoie2017; Maurel et al. Reference Maurel, Salmon, Ponge, Machon, Moret and Muratet2010; Stoll et al. Reference Stoll, Gatzsch, Rusterholz and Baur2012). They reduce species richness (Aguilera et al. Reference Aguilera, Alpert, Dukes and Harrington2010; Stoll et al. Reference Stoll, Gatzsch, Rusterholz and Baur2012) and the abundance of soil microorganisms (Gerber et al. Reference Gerber, Murrell, Krebs, Bilat and Schaffner2010; Stoll et al. Reference Stoll, Gatzsch, Rusterholz and Baur2012), which eventually results in a slower decomposition of the organic matter (Koutika et al. Reference Koutika, Vanderhoeven, Chapuis-Lardy, Dassonville and Meerts2007; Künzi et al. Reference Künzi, Prati, Fischer and Boch2015; Maurel et al. Reference Maurel, Salmon, Ponge, Machon, Moret and Muratet2010). When invading agricultural fields, exotic Polygonum spp. damage infrastructures and incur additional maintenance costs due to difficulties of waste disposal (Beerling et al. Reference Beerling, Bailey and Conolly1994; Bohren Reference Bohren2011). Allelopathic effects on important cultivated plants have also recently been highlighted (Novak et al. Reference Novak, Novak, Barić, Šćepanović and Ivić2018).

In Europe, two taxa of the Polygonum cuspidatum aggregate (i.e., P. cuspidatum Siebold & Zucc. and P. sachalinense F. Schmidt ex Maxim.) were imported as ornamental and fodder plants from the beginning of the 19th century (Beerling et al. Reference Beerling, Bailey and Conolly1994). Naturalization started a century later by P. cuspidatum, followed by P. sachalinense and their hybrid Polygonum ×bohemicum (J. Chrtek & Chrtková) Zika & Jacobson [cuspidatum × sachalinense]; syn.: Reynoutria ×bohemica Chrtek & Chrtková, described for the first time in 1983 in Europe (Chrtek and Chrtková Reference Chrtek and Chrtková1983). Where both parental taxa are present, however, the hybrid form P. ×bohemicum eventually dominates (Bímová et al. Reference Bímová, Mandák and Pyšek2003, Reference Bímová, Mandák and Kašparová2004). In Switzerland, the exotic Polygonum spp. are found throughout all lowlands and are included in the list of invasive neophytes that identified the species proven to cause damage (InfoFlora 2023).

In the expansion process of exotic Polygonum spp., sexual reproduction is usually considered secondary (Conolly Reference Conolly1977; Locandro Reference Locandro1978) despite the possible important seed production by hybrid individuals (Bailey et al. Reference Bailey, Bímová and Mandák2009). The underground organs, on the contrary, are characterized by efficient and highly plastic dynamic expansion and growth, which usually start with the development of superficial woody crowns with a central taproot penetrating vertically into the ground, from which rhizomes and roots extend centrifugally (Beerling et al. Reference Beerling, Bailey and Conolly1994). Resilience characteristics of the underground organs allow these rhizomatous species to easily overcome temporary resource scarcity due to stress or disturbances (Jónsdóttir and Watson Reference Jónsdóttir and Watson1997; Liu et al. Reference Liu, Liu and Dong2016). Vegetative resprouting capacity is characteristic of the rhizomes, whereas roots are devoid of this property (Dommanget et al. Reference Dommanget, Evette, Martin, Piola and Thiébaut2019). As a consequence, the expansion process is highly linked to the risks of transporting rhizome fragments through machinery, poor management of green waste, and movement of contaminated soil, as well as by natural floods that carry rhizome fragments downstream (Bohren Reference Bohren2011; Dawson and Holland Reference Dawson and Holland1999; InfoFlora 2023).

Concerning the morphological and anatomical characteristics of the underground organs, rhizomes and roots of knotweeds display a similar dark external gray-brown cortex as well as an internal tissue color that ranges from clear yellow in young organs to dark orange in older ones (Environment Agency 2013; Macfarlane Reference Macfarlane2011). As a rule of thumb, rhizomes are characterized by the presence of a large pith in the center (Fuchs Reference Fuchs1957) as well as nodes with fine lateral roots organized in whorls. Each rhizome node displays a bud potentially able to resprout (Martin et al. Reference Martin, Dommanget, Lavallée and Evette2020).

Existing literature on the resprouting capacity of rhizomes indicates a general higher resprouting potential of the hybrids with respect to parent taxa (Bímová et al. Reference Bímová, Mandák and Pyšek2003; Pyšek et al. Reference Pyšek, Brock, Bímová, Mandák, Jarošík, Koukolíková, Pergl and Štepánek2003) and an increasing resprouting capacity as a function of the segment length and number of nodes (Lawson et al. Reference Lawson, Fennell, Smith and Bacon2021; Sásik and Eliáš Reference Sásik and Eliáš2006). If a node is present, however, very small segments can resprout (0.2 g to 0.5 g, according to Macfarlane et al. [Reference Macfarlane2011] and Lawson et al. [Reference Lawson, Fennell, Smith and Bacon2021], respectively), especially in case of young organs (Environment Agency 2013). Contrary to other rhizomatic species such as common reed [Phragmites australis (Cav.) Trin. Ex Steud.] (Karunaratne et al. Reference Karunaratne, Asaeda and Toyooka2004; League et al. Reference League, Seliskar and Gallagher2007) or bamboos such as Phyllostachys spp. (Banik Reference Banik1987), no detailed information about the possible regression of the resprouting ability of rhizomes as a function of their ontogenetic development is available for knotweeds.

In this respect, the possibility of clearly distinguishing rhizomes from roots and a better understanding of the factors enhancing the rhizomes’ resprouting capacity are of paramount importance for evaluating the colonization potential of a Polygonum population and planning targeted control measures. The overall aim of this study is to augment existing knowledge on the characteristics and reproductive capacity of the underground organs of Polygonum ×bohemicum, and provide the necessary information for improving possible control strategies and practical approaches against this weed. Specific aims of the study are to (1) clarify existing differences in the morpho-anatomical characteristics of rhizomes and roots, (2) develop an easy-to-apply field identification method for the underground organs, and (3) identify the main morpho-anatomical features enhancing the rhizomes’ resprouting ability. To this purpose, we collected underground organs in two wild populations of P. ×bohemicum in Canton Ticino (southern Switzerland), assessed the morpho-anatomical differences between rhizomes and roots, and tested the resprouting capacity of their rhizomes.

Materials and Methods

Study Area

The study area is represented by the Magadino plain, the largest alluvial plain of the Ticino River located in southern Switzerland (Figure 1). The plain is characterized by an Insubric climate, i.e., mild and dry winters and warm, but stormy summers (Klötzli Reference Klötzli1988; Spinedi and Isotta Reference Spinedi and Isotta2004). The mean annual precipitation and the mean annual temperature are 1,806 mm and 11.9 C, respectively (climate normal 1991 to 2020, Meteoswiss climatological station of Magadino/Cadenazzo). In Canton Ticino, the geological and soil substrate mainly consists of metamorphic crystalline rock (Labhart Reference Labhart1992), giving way to sandy deposits with pebbles and gravel in the floodplains, with an intermediate sandy loam soil composition at the superficial soil level (Czerski et al. Reference Czerski, Giacomazzi and Scapozza2022; Scapozza Reference Scapozza2013). The plain is particularly rich in exotic flora and invasive neophytes (Schoenenberger et al. Reference Schoenenberger, Rötlisberger and Carraro2014), and among the taxa of the P. cuspidatum aggregate, P. ×bohemicum is the most widely distributed and displays the highest colonization potential.

Figure 1. Study area with the location of two wild populations in Canton Ticino (Switzerland) of Polygonum ×bohemicum (white circles), the nearby research campus (black triangle), and the two urban centers of Locarno and Bellinzona (yellow squares). (A) Map of Switzerland and (B) map of the study area (Magadino plain).

Study Design and Workflow

As reported in Figure 2, the study was developed with two subsequent phases (i.e., Phase I in autumn 2021 and Phase II in spring 2022) and on two different sites (i.e., Gudo and Cadenazzo; see Figure 1 for location details). Both sites consist of historically important naturalized populations of P. ×bohemicum not subjected to control measures and currently covering more than 500 m2 in an open area surrounded by cultivated fields. The hybrid P. ×bohemicum can reach 4.5 m height and is characterized by morphological intermediate characteristics between the two parent taxa (Alberternst and Böhmer Reference Alberternst and Böhmer2011; InfoFlora 2023). The stems are partially spotted with reddish spots, and the leaves are slightly heart-shaped and can measure up to 25-cm long and 18-cm wide with trichomes situated on the veins of the abaxial side of the leaves. Preliminary field examinations using a field lens identified 0.5-mm-long trichomes (Alberternst and Böhmer Reference Alberternst and Böhmer2011), which allowed us to confirm the exclusive presence of P. ×bohemicum at both sites.

Figure 2. Research workflow for the present study on anatomical characteristics and resprouting capacity of the underground organs of Polygonum ×bohemicum. RH, relative humidity.

In a first step (Phase I; Figure 2), we focused on the description of the anatomical features of the underground organs with the aim of developing a field-ready identification method to unambiguously discriminate between rhizomes and roots based on morpho-anatomical characteristics. For this purpose, at the beginning of November 2021, a 1-m-deep trench was dug with a mechanical excavator at the Gudo site. All underground organs were manually sieved from the excavated soil. Specimens of presumed rhizomes and roots were then sampled, transported to the lab facilities at the nearby research campus in Cadenazzo, cleaned of soil residuals, and processed as described in the section “Morpho-anatomical Analysis”. Once the morpho-anatomical analysis of the collected specimens was concluded, a partial validation of the developed field method was made by returning to the trench dug in Gudo. The trench excavation was continued, collecting new fresh underground organs with a total diameter ranging from 0.75 to 1.5 cm and preliminarily separating rhizomes and roots using the proposed protocol (pith test development in Figure 2). Based on the assumption that specimens classified as roots are not able to resprout, collected rhizomes and roots organs were first cut into 3-cm segments and subjected to a resprouting test at the greenhouse facilities of the research campus to confirm the correct distinction of rhizomes and roots (see Figure 2 and the section “Resprouting Tests”).

In a second step (Phase II; Figure 2), we focused on the morpho-anatomical features of rhizomes that increase their ability to resprout. In spring 2022 (mid-March to mid-April), we collected rhizomes ranging from 0.25 to 3 cm in total diameter from twelve 20 by 20 by 20 cm cubic soil samples excavated by hand with a shovel in Gudo and in Cadenazzo (i.e., six soil cubes at each site). Collected rhizomes were first checked for correct identification using the developed pith-test method and then cut into 3-cm segments taking care to have exactly one node in each segment. Each obtained segment was first characterized by different measurements (e.g., weight, total diameter, pith diameter, pith brightness, and pith color) and then subjected to a resprouting test at the greenhouse facilities of the research campus (see Figure 2 and the sections “Rhizome Measurements” and “Resprouting Tests”).

Morpho-anatomical Analysis

Cleaned underground organs sampled in Gudo were subjected to a preliminary visual classification into rhizomes and roots based on the external habit (Fuchs Reference Fuchs1957; Martin et al. Reference Martin, Dommanget, Lavallée and Evette2020) until ca. 25 specimens of presumed rhizomes and 25 of presumed roots were obtained. For a detailed analysis of the morpho-anatomical features, we first produced high-resolution color images depicting the external appearance and transversal sections of a selection of rhizomes and roots by using a stereo microscope (Olympus SZX16 with a Plan Apochromat 1× PF objective) equipped with a DP28 digital camera and stitching the obtained images with the software CellSens v. 1.16 (Olympus Corporation, 3-1 Nishi-Shinjuku 2-chome, Shinjuku-ku, Tokyo 163-0914, Japan). In the second step, samples were first put in small plastic bottles filled with 40% ethanol that was then replaced with 70% ethanol (at least four washes) for long-term conservation. Microanatomical differences between rhizomes and roots were further investigated by producing 20-μm thin slides from 10 samples of young and old rhizomes and roots. To perform thin sections, the samples were sectioned with the WSL Lab-Microtome (Swiss Federal Institute for Forest, Snow and Landscape Research, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland; see also Gärtner and Schweingruber Reference Gärtner and Schweingruber2013). Obtained microslides were transferred onto glass slides and stained with a water solution of safranine (10 g L-1) and astrablue (5 g L-1) to highlight the tissues containing lignin and cellulose, respectively. Thin sections were finally fixed on slides with EUKITT mounting resins (ORSAtec GmbH, Max-Fischer-Strasse 11, 86399 Bobingen, Germany) and observed under a compound upright microscope (Olympus BX53 with 5× and 10× objectives; Olympus Corporation, Tokyo 163-0914, Japan). Selected anatomical details were then photographed with the connected DP28 digital camera combined with CellSens software, and further processed with Photoshop (v. 23.5.3; Adobe Corporation, 345 Park Avenue San Jose, CA 95110-2704, USA) for cleaning or feature selection purposes.

Rhizome Measurements

Each collected 3-cm rhizome segment for the main resprouting test was subjected to different measurements (Figure 2; Table 1). We first measured the weight with a Mettler Toledo laboratory balance (precision at 10−2 g; Mettler-Toledo, 1900 Polaris Parkway Columbus, OH 43240, USA). We then used the stereo microscope to take high-resolution color images with fixed parameters (magnification 0.7×, diaphragm 3.5, light source 0.9, exposure time 20 ms, and gain 3.36×) and stitched the obtained images with the CellSens software. For large diameters, the images were captured using the Instant Multiple Image Alignment function. On the images obtained, we measured the rhizome total diameter and pith diameter by calculating the mean between two measurements (horizontal and vertical line options of the CellSens software, precision at 10−6 mm).

Table 1. Rhizome measurements in Polygonum ×bohemicum.

To assess the rhizome pith main color, we first removed all peripheral vascular bundles and cortex from the image of each segment section using Photoshop, keeping only the pith and converting it in Tag Image File Format (.TIFF). To remove impurities and stains from the images, pith colors were clustered for each image with R (RStudio Core Team 2023) using the Colordistance (Weller and Westneat Reference Weller and Westneat2019) and Countcolors (Hooper et al. Reference Hooper, Weller and Amelon2020) packages. The clusters were built on all pith pixels, and the frequencies of the five most frequent RGB clusters were calculated using getKMeanColors and extractClusters functions in Colordistance package (Weller and Westneat Reference Weller and Westneat2019). Finally, only the first or two most frequent color clusters (at least 20% frequency) were retained and, if applicable, averaged.

From the obtained pith main RGB colors, we calculated the corresponding pith brightness along a continuous grayscale ranging from 0 (black) to 1 (white) using the rgb2gray.luminosity function of the plotteR package (Weise Reference Weise2019). To enhance visualization and define ordered color scales that are simple and easy to use in the field, we calculated six pith brightness classes and six color classes. Brightness classes were obtained by dividing the value range into six regular intervals. RGB color values were also clustered into six color classes by using the kmeans function on the RGB values matrix.

Resprouting Tests

The resprouting tests took place in the greenhouse facilities of the research campus in Cadenazzo. For this purpose, the 3-cm segments of the underground organs were buried 1.5-cm deep in a 5-cm-deep mixture of sand and loam (soil composition: 1 part silt loam, 1 part sand, 1 part manure, and 1 part expanded shale) in plastic trays (Cindy Seed trays with sieve bottom; Caminada Sementi SA, Via Pré d’Là, 6814 Lamone, Switzerland), into which water was added daily to maintain soil moisture. In both preliminary and main resprouting experiments (see Figure 2), trays were inspected for resprouting specimens every 2 to 3 d for a total experimental period of 70 d. The preliminary resprouting test took place late November 2021 with 103 rhizome and 43 root segments which were kept at a mean temperature of 16 ± 4 C and at 50% relative air humidity. The main resprouting test took place in April 2022 with 201 rhizome segments in total (106 from Gudo and 95 from Cadenazzo), which were kept at 22 ± 5 C with 52% relative air humidity.

Statistical Analysis

To identify the features enhancing the rhizomes’ resprouting ability, we tested whether relationships between the continuous variables and resprouting capacity encoded as a binary response were significant. The glmer function in lme4 package (Bates et al. Reference Bates, Mächler, Bolker and Walker2015) was used to perform a binomial model (fitting generalized linear models, binomial multivariate), assessing all morphological rhizome patterns. A mixed-modeling approach was applied, as we were not interested in the effect provided by the site (random factor). To avoid multicollinearity, the variance inflation factor (vif) was calculated, and the model was adapted. We then calculated the model R squared using the MuMln package (Bartoń Reference Bartoń2023), as well as the estimates of the retained variables, their confidence intervals (2.5% and 97.5%), their P-values in the model, and their respective vif values (Table 2).

Table 2. Estimate statistics of the fitted generalized linear mixed model for resprouting ability (logistic) in Polygonum ×bohemicum (n tot = 201).

a Weight was removed to avoid multicollinearity with total diameter.

b Pith brightness corresponding to the continuous grayscale (0–1).

To assess the informative and diagnostic value of pith chromatic characteristics, curves representing the resprouting capacity for all pith brightness and color classes were calculated. Differences in resprouting capacity among classes were tested using Pearson’s chi-square tests (Hope Reference Hope1968). To provide easily usable color scales to assess rhizome resprouting capacity in the field, we analyzed the differences among pith color classes (Supplementary Figure S1). Differences in pith brightness values (i.e., continuous grayscale) were visualized as box plots among pith color classes. Significant mean differences were tested with Kruskal-Wallis for general mean comparison and Wilcoxon tests for pairwise comparisons (Hollander and Wolfe Reference Hollander and Wolfe1973) using a false discovery rate correction (Benjamini and Yekutieli Reference Benjamini and Yekutieli2001). Significant nominal levels of 1% and 5% were used for general and pairwise comparisons, respectively. In addition, a practical fact sheet with reference color scales representing the pith brightness and color classes was developed (Supplementary Figure S2). All analyses were performed in R (RStudio Core Team 2023).

Results and Discussion

Morpho-anatomy of the Underground Organs

The external appearance of the epidermis of underground organs looked quite similar in texture and color for both rhizomes and roots (Figure 3). It appeared clear brown in young rhizomes (Figure 3A) and young roots (Figure 3E) and became darker with aging and thickening (Figure 3C and 3G for rhizomes and roots, respectively). A distinctive (although not always unambiguous) external feature on the extensively (stolon-like) elongate rhizomes was represented by the presence of nodes provided of small lateral roots organized in whorls and a rudimentary and scale-like bud at regular internodal intervals (Figure 3A and 3C). Roots, however, did not display nodes and had small, single lateral root hairs irregularly distributed along and around the organ (Figure 3E and 3G).

Figure 3. Morphology of rhizomes and roots of Polygonum ×bohemicum. (A and B) Young rhizome; (C and D) mature rhizome; (E and F) young root; (G and H) mature root. bu, rhizome bud; co, cortex; ep, epidermis; ha, rhizome hair; in, internodal interval; pi, pith; rh, root hair; vb, vascular bundles.

Anatomical analyses of the cross sections provided additional clear distinctive features between rhizomes and roots, consisting of a central soft pith tissue characterizing the rhizomes (Figure 3B and 3D) but absent in roots (Figure 3F and 3H). The pith size of the rhizomes remained constant and measured approximately 4 to 5 mm, whereas the pith tissue turned from clear to dark colors (orange to brown-purple) with the aging of the rhizome (Figure 3B and 3D). As a result, the pith to section ratio was higher in young rhizomes with respect to older and thicker ones.

The micro-anatomical structure of the juvenile rhizomes (Figure 4A) revealed the presence of single xylem vascular bundles in formation surrounding a large central pith. Outside the cambium, there was phloem tissue in formation surrounded by a clear pericyclic circle, a cortex, a thin phellem tissue, and an external epidermis. In mature rhizomes (Figure 4C), the pith was surrounded by single vascular bundles of xylem, a ring of phloem bundles, a cortex, and a thin phellem. When rhizomes became thicker, part of the phloem collapsed. Xylem lignification was an irregular ontogenetic process that started along rays. Figure 4E shows the detailed structure of a node cross section with the bud originating from the main pith and characterized by a large meristematic zone (corpus and tunica) protected by a multitude of scale leaves also known as cataphylls (Figure 4C).

Figure 4. Anatomy of rhizomes and roots of Polygonum ×bohemicum. (A) Young rhizome; (B) young root; (C) mature rhizome; (D) mature root; (E) mature rhizome center; (F) mature root center. bu, rhizome bud; ca, cambium; cl, collenchyma; co, cortex; ep, epidermis; lp, lateral pith; lr, lateral root; ox, calcium oxalate; pe, pericycle; pf, phloem in formation; ph, phloem; pi, pith; pl, phellem; pr, pericyclic fibers; ra, ligneous ray; xf, xylem in formation; xy, xylem.

In contrast to rhizomes, roots displayed a central part of homogeneous ligneous consistency composed of xylem bundles and vessels organized along the rays (Figure 4B and 4D). The external part of the root consisted of phloem tissue followed by a cortex, a thin phellem tissue, and an external epidermis. Single lateral root hairs originated from the center (Figure 4F).

Finally, druses containing calcium oxalate crystals represented a common feature of rhizomes and roots (Figure 4A–D) and were present irrespective of ontogenetic stage. Oxalate crystals have been already reported for other invasive Polygonum taxa (Fuchs Reference Fuchs1957; Khalil et al. Reference Khalil, Akter, Kim, Park, Kang, Koo and Ahn2020) and are considered important plant defense factors against herbivory and tissue degradation (Nakata Reference Nakata2003; Prasad and Shivay Reference Prasad and Shivay2017).

Discriminating between Rhizomes and Roots

Based on the differences in key anatomical features of cross sections such as the soft pith tissue in the rhizomes, we propose a three-step method to discriminate between rhizomes and roots to be applied in succession if no unambiguous conclusion is reached. As a first step, we look at the presence of nodes provided of whorls of lateral roots and a single bud (rhizomes) or just small, single lateral root hairs irregularly distributed along and around the organ (roots). If this criterion does not allow for a conclusive discrimination between the two organs, we suggest proceeding with the pith-test. The pith-test consists of inserting a pointed and hard object (needle, pocketknife, pencil) into the central part of the concerned underground organ to test the compactness of the tissue. The central pith tissue is soft and easy to penetrate, whereas roots possess a harder and uniformly woody texture, which makes penetrating it very hard (see also: https://youtu.be/3V8eHq5K5bA). In case of remaining doubts, one can further check for the presence of the pith tissue, which is characteristic of rhizomes, by means of a folding pocket magnifier or a field lens.

Resprouting Tests

In the preliminary resprouting test, all 43 segments classified as root after the pith-test verification failed to resprout (0/43: 0%). Presumed rhizome segments, on the contrary, displayed an overall resprouting rate of 88.3% (i.e., 91/103).

In the main resprouting test, rhizome segments displayed an overall resprouting rate of 87.1% (i.e., 175/201). Concerning the pith brightness classes, we found 21 rhizome segments representative of class 0.84–0.96, 51 of class 0.72–0.84, 42 of class 0.60–0.72, 34 of class 0.48–0.60, 32 of class 0.36–0.48, and 21 of class 0.24–0.36; whereas for the pith color classes, 35 segments were representative of class #E1D9D4, 51 of #CEBCB0, 45 of #B59A90, 22 of #9C7A78, 28 of #80606E, and 20 of #624A62. The comparison between the pith color classes and the pith brightness (i.e., continuous grayscale) revealed that all classes have significantly different means of pith brightness values (P-value < 0.01 for general mean comparison and all P-values < 0.05 for all pairwise comparisons; Supplementary Figure S1).

Regarding the mixed-modeling approach, the rhizome total diameter was strongly correlated with rhizome biomass, as the vif values were higher than 5 (10.14 and 7.04, respectively). To avoid multicollinearity in the model, only the total diameter was therefore retained, as it represents the easier variable directly measurable in the field. The generalized linear model returned an R2 of 26.8% (delta equal to 12.1%), with only the pith brightness variable significantly contributing to the best fit of the model (P-value < 0.01 with confidence intervals that do not overlap 0; see Table 2).

The resprouting rate reached 95% and 97% for the clearest pith brightness class 0.84–0.96 and color class (#E1D9D4), respectively, whereas the darkest pith brightness class 0.24–0.36 and color class (#624A62) displayed resprouting rates of 52% and 50%, respectively (Figure 5). Differences in resprouting capacities were significant among pith brightness classes (χ2 = 29.4, df = 5, P-value < 0.01), as well as among pith color classes (χ2 = 31.1, df = 5, P-value < 0.01). The comparison between the two pith color scales indicated that the three clearest classes of pith brightness displayed very similar resprouting rates ranging from 94% to 95% (Figure 5A), whereas the three clearest pith color classes displayed resprouting rates ranging from 91% to 97% (Figure 5B), meaning that color classes were more precise for discriminating rhizome resprouting capacities for the clearest pith sections.

Figure 5. Resprouting rate for each pith color class (time days = 70; n tot = 201) in Polygonum ×bohemicum. (A) using the six pith brightness classes according to grayscale [0–1] intervals and (B) using the six color classes for which the reference RGB color is indicated in Hex Code. Differences in resprouting capacities (resprouting rates) were significant among pith brightness classes (χ2 = 29.4, df = 5, P-value < 0.01), as well as among pith color classes (χ2 = 31.1, df = 5, P-value < 0.01).

Previous studies on the resprouting capacity of Polygonum rhizomes already highlighted the high response capacity of Polygonum taxa in this respect, even in case of very small segments, as long as they are provided by a bud (Lawson et al. Reference Lawson, Fennell, Smith and Bacon2021; Macfarlane Reference Macfarlane2011; Martin et al. Reference Martin, Dommanget, Lavallée and Evette2020). Existing literature additionally reports a better vegetative resprouting capacity of longer rhizome segments (Sásik and Eliáš Reference Sásik and Eliáš2006), of the hybrid genotypes (Bímová et al. Reference Bímová, Mandák and Pyšek2003; Pyšek et al. Reference Pyšek, Brock, Bímová, Mandák, Jarošík, Koukolíková, Pergl and Štepánek2003), as well as greater resprouting success in cases of overall higher density of nodes and related buds in the soil (Lawson et al. Reference Lawson, Fennell, Smith and Bacon2021).

Our results concerning the overall resprouting rates of Polygonum ×bohemicum (i.e., 87.1%) are in line with the rate of 85% reported by Weber (Reference Weber2011) for the highly invasive giant goldenrod (Solidago gigantea Alton) and is markedly higher with respect to the rate of 50.9% reported by League et al. (Reference League, Seliskar and Gallagher2007) for clear rhizomes of P. australis. Here, we further demonstrated that as highlighted for P. australis (e.g., Karunaratne et al. Reference Karunaratne, Asaeda and Toyooka2004; League et al. Reference League, Seliskar and Gallagher2007), the resprouting capacity of P. ×bohemicum rhizomes is highly dependent on the ontogenetic stage of the organ, which in turn is reflected by the color of the pith tissue. In short, the younger and clearer the pith, the higher the probability of a successful resprouting; the darker the pith color, the lower the resprouting capacity of the rhizome. This partially contrasts with what is reported for S. gigantea (Weber Reference Weber2011) and Calligonum arborescens Litv. (Luo and Zhao Reference Luo and Zhao2015), which tend to display higher regeneration rates for larger organs. To practically implement this result for knotweeds, we propose two field-ready reference scales, one as grayscale for pith brightness (applicable also in case of decreased ability to distinguish colors) and the other as ordered color classes (Supplementary Figure S2).

Finally, Polygonum populations do not display resprouting capacities of underground organs other than rhizomes unlike other very invasive species, that may spread via stolons or rhizomatous roots (Clarke et al. Reference Clarke, Lawes, Midgley, Lamont, Ojeda, Burrows, Enright and Knox2012; Cornelissen et al. Reference Cornelissen, Song, Yu and Dong2014; Song et al. Reference Song, Yu, Li, Keser, Fischer, Dong and van Kleunen2012). With regard to management strategies, it is fundamental to first distinguish between rhizomes and roots, as the roots do not possess any resprouting capacity (Dommanget et al. Reference Dommanget, Evette, Martin, Piola and Thiébaut2019). In addition, pith color allows new perspectives in the assessment of rhizome vitality and resprouting potential of a Polygonum population. It represents an important variable to be considered for planning resprouting tests or for assessing the rhizomes’ resprouting capacity in the field. The results of this study and the suggested practical approaches may represent an important step forward in optimizing the management and control strategies of rhizomatous invasive species such as knotweeds. Focusing on the presence and quality of the rhizomes to define the necessary treatments can significantly reduce workload and related financial and human resources.

Supplementary material

To view supplementary material for this article, please visit https://doi.org/10.1017/wsc.2023.77

Acknowledgments

For financial support, we would like to thank the Section of the Territorial Development (Office of Nature and Landscape), the Section for the Protection of Air, Water and Soil (Office of Waste and Contaminated Sites) of Canton Ticino and the Gruppo di Lavoro Organismi Alloctoni Invasivi in Canton Ticino (GLOAI). For their collaboration during all phases of the project, we would like thank Mauro Togni (Canton Ticino and GLOAI) and Gisella Novi (Canton Ticino and GLOAI). For the fieldwork, we would like to thank Gottardo Pestalozzi (WSL Birmensdorf), Samuele Peduzzi (Agroscope Cadenazzo), and all field helpers during the excavations. The authors declare no competing interests.

Footnotes

Associate Editor: Hilary A. Sandler, University of Massachusetts

References

Aguilera, AG, Alpert, P, Dukes, JS, Harrington, R (2010) Impacts of the invasive plant Fallopia japonica (Houtt.) on plant communities and ecosystem processes. Biol Invasions 12:12431252 CrossRefGoogle Scholar
Alberternst, B, Böhmer, HJ (2011) NOBANIS—Invasive Alien Species Fact Sheet: Fallopia japonica. Online Database of the European Network on Invasive Alien Species. https://www.nobanis.org/globalassets/speciesinfo/r/reynoutria-japonica/reynoutria_japonica4.pdf. Accessed: September 6, 2023Google Scholar
Bailey, JP, Bímová, K, Mandák, B (2009) Asexual spread versus sexual reproduction and evolution in Japanese knotweed s.l. sets the stage for the “battle of the clones.” Biol Invasions 11:11891203 CrossRefGoogle Scholar
Banik, RL (1987) Techniques of bamboo propagation with special reference to prerooted and prerhizomed branch cuttings and tissue culture. Pages 160–169 in Rao AN, Dhanaranjan G, Sastry CB, eds. Recent Research on Bamboos. Beijing: Chinese Academy of Forestry. 393 pGoogle Scholar
Bartoń, K (2023) MuMIn: Multi-Model Inference, R Package Version 1.47.5. https://cran.r-project.org/web/packages/MuMIn/MuMIn.pdf. Accessed: September 6, 2023Google Scholar
Bates, D, Mächler, M, Bolker, B, Walker, S (2015) Fitting linear mixed-effects models using lme4. J Stat Softw 67:148 CrossRefGoogle Scholar
Beerling, DJ, Bailey, JP, Conolly, AP (1994) Biological flora of the British Isles. Fallopia japonica (Houtt.) Ronse Decraene. J Ecol 82:959979 CrossRefGoogle Scholar
Benjamini, Y, Yekutieli, D (2001) The control of the false discovery rate in multiple testing under dependency. Ann Stat 29:11651188 CrossRefGoogle Scholar
Bímová, K, Mandák, B, Kašparová, I (2004) How does Reynoutria invasion fit the various theories of invasibility? J Veg Sci 15:495504 CrossRefGoogle Scholar
Bímová, K, Mandák, B, Pyšek, P (2003) Experimental study of vegetative regeneration in four invasive Reynoutria taxa (Polygonaceae). Plant Ecol 166:111 CrossRefGoogle Scholar
Bohren, C (2011) Exotic weed contamination in Swiss agriculture and the non-agriculture environment. Agron Sustain Dev 31:319327 CrossRefGoogle Scholar
Chrtek, J, Chrtková, A (1983) Reynoutria × bohemica, nový kříženec z čeledi rdesnovitých. Čas Nár Muz Praze Rada Přír 152:120 Google Scholar
Clarke, PJ, Lawes, MJ, Midgley, JJ, Lamont, BB, Ojeda, F, Burrows, GE, Enright, NJ, Knox, KJE (2012) Resprouting as a key functional trait: how buds, protection and resources drive persistence after fire. New Phytol 197:1935 CrossRefGoogle ScholarPubMed
Conolly, AP (1977) The distribution and history in the British Isles of some alien species of Polygonum and Reynoutria . Watsonia 11:291311 Google Scholar
Cornelissen, JHC, Song, YB, Yu, FH, Dong, M (2014) Plant traits and ecosystem effects of clonality: a new research agenda. Ann Bot 114:369376 CrossRefGoogle ScholarPubMed
Czerski, D, Giacomazzi, D, Scapozza, C (2022) Evolution of fluvial environments and history of human settlements on the Ticino river alluvial plain. Geogr Helv 77:120 CrossRefGoogle Scholar
Dawson, FH, Holland, D (1999) The distribution in bankside habitats of three alien invasive plants in the U.K. in relation to the development of control strategies. Hydrobiologia 415:193201 CrossRefGoogle Scholar
Dommanget, F, Evette, A, Martin, FM, Piola, F, Thiébaut, M et al. (2019) Les renouées asiatiques, espèces exotiques envahissantes. Sciences Eaux & Territoires 27:813 Google Scholar
Environment Agency (2013) Managing Japanese Knotweed on Development Sites: The Knotweed Code of Practice. Bristol, UK: Environment Agency Publications. 72 pGoogle Scholar
Fuchs, C (1957) Sur le développement des structures de l’appareil souterrain du Polygonum cuspidatum Sieb. et Zucc. Bull Soc Bot Fr 104:141–147CrossRefGoogle Scholar
Gärtner, H, Schweingruber, F (2013) Microscopic Preparation Techniques for Plant Stem Analysis. Remagen-Oberwinter, Germany: Verlag Dr. Kessel. 78 pGoogle Scholar
Gerber, E, Murrell, C, Krebs, C, Bilat, J, Schaffner, U (2010) Evaluating Non-chemical Management Methods against Invasive Exotic Knotweeds, Fallopia spp. Final Report. Egham, UK: CABI International. 24 pGoogle Scholar
Hejda, M, Pyšek, P, Jarosík, V (2009) Impact of invasive plants on the species richness, diversity and composition of invaded communities. J Ecol 97:393403 CrossRefGoogle Scholar
Hollander, M, Wolfe, DA (1973), Nonparametric Statistical Methods. New York: Wiley. 120 pGoogle Scholar
Hooper, SE, Weller, H, Amelon, SK (2020) Countcolors, an R package for quantification of the fluorescence emitted by Pseudogymnoascus destructans lesions on the wing membranes of hibernating bats. J Wildl Dis 56:759767 CrossRefGoogle Scholar
Hope, ACA (1968) A simplified Monte Carlo significance test procedure. J R Stat Soc 30:582598 Google Scholar
InfoFlora Database (2023) Reynoutria japonica aggr. https://www.infoflora.ch/de/flora/reynoutria-japonica-aggr.html. Accessed: September 6, 2023Google Scholar
Jónsdóttir, I, Watson, M (1997) Extensive physiological integration: an adaptive trait in resource-poor environments. Pages 109–136 in de Kroon H, van Groenendael J, eds. The Ecology and Evolution of Clonal Plants. Leiden: BackhuysGoogle Scholar
Karunaratne, S, Asaeda, T, Toyooka, S (2004) Colour-based estimation of rhizome age in Phragmites australis . Wetl Ecol Manag 12:353363 CrossRefGoogle Scholar
Khalil, AAK, Akter, KM, Kim, HJ, Park, WS, Kang, DM, Koo, KA, Ahn, MJ (2020) Comparative inner morphological and chemical studies on Reynoutria species in Korea. Plants 9:222 CrossRefGoogle ScholarPubMed
Klötzli, F (1988) On the global position of the evergreen broad-leaved (non-ombrophilous) forest in the subtropical and temperate zone. Veröf Geobot Inst ETH Zürich 98:169196 Google Scholar
Koutika, LS, Vanderhoeven, S, Chapuis-Lardy, L, Dassonville, N, Meerts, P (2007) Assessment of changes in soil organic matter following invasion by exotic plant species. Biol Fertil Soils 44:331341 CrossRefGoogle Scholar
Künzi, Y, Prati, D, Fischer, M, Boch, S (2015) Reduction of native diversity by invasive plants depends on habitat conditions. Am J Plant Sci 6:27182733 CrossRefGoogle Scholar
Labhart, TP (1992) Geologie der Schweiz. Berlin: Medimops. 211 pGoogle Scholar
Lavoie, C (2017) The impact of invasive knotweed species (Reynoutria spp.) on the environment: review and research perspectives. Biol Invasions 19:23192337 CrossRefGoogle Scholar
Lawson, JW, Fennell, M, Smith, MW, Bacon, KL (2021) Regeneration and growth in crowns and rhizome fragments of Japanese knotweed (Reynoutria japonica) and desiccation as a potential control strategy. PeerJ 9:e11783 CrossRefGoogle ScholarPubMed
League, MT, Seliskar, DM, Gallagher, JL (2007) Predicting the effectiveness of Phragmites eradication measures using a rhizome growth potential bioassay. Wetl Ecol Manag 15:2741 CrossRefGoogle Scholar
Liu, F, Liu, J, Dong, M (2016) Ecological consequences of clonal integration in plants. Front Plant Sci 7:770781 Google ScholarPubMed
Locandro, RR (1978) Weed watch. Japanese bamboo. Weeds Today 9:2122 Google Scholar
Lowe, S, Browne, M, Boudjelas, S, De Poorter, M (2000) 100 of the World’s Worst Invasive Alien Species: A Selection from the Global Invasive Species Database. Auckland: Invasive Species Specialist Group, Species Survival Commission of the IUCN. 12 pGoogle Scholar
Luo, W, Zhao, W (2015) Burial depth and diameter of the rhizome fragments affect the regenerative capacity of a clonal shrub. Ecol Complex 23:3440 CrossRefGoogle Scholar
Macfarlane, J (2011) Development of Strategies for the Control and Eradication of Japanese Knotweed. Ph.D dissertation. Exeter, Devon, UK: University of Exeter. 330 pGoogle Scholar
Martin, FM, Dommanget, F, Lavallée, F, Evette, A (2020) Clonal growth strategies of Reynoutria japonica in response to light, shade, and mowing, and perspectives for management. NeoBiota 56:89110 CrossRefGoogle Scholar
Maurel, N, Salmon, S, Ponge, JF, Machon, N, Moret, J, Muratet, A (2010) Does the invasive species Reynoutria japonica have an impact on soil and flora in urban wastelands? Biol. Invasions 12:17091719 CrossRefGoogle Scholar
Nakata, PA (2003) Advances in our understanding of calcium oxalate crystal formation and function in plants. Plant Sci 164:901909 CrossRefGoogle Scholar
Novak, N, Novak, M, Barić, K, Šćepanović, M, Ivić, D (2018) Allelopathic potential of segetal and ruderal invasive alien plants. J Cent Eur Agric 19:408422 CrossRefGoogle Scholar
Prasad, R, Shivay, YS (2017) Oxalic acid/oxalates in plants: from self-defence to phytoremediation. Curr Sci 112:16651667 CrossRefGoogle Scholar
Pyšek, P, Brock, JH, Bímová, K, Mandák, B, Jarošík, V, Koukolíková, I, Pergl, J, Štepánek, J (2003) Vegetative regeneration in invasive Reynoutria (Polygonaceae) taxa: the determinant of invasibility at the genotype level. Am J Bot 90:14871495 CrossRefGoogle ScholarPubMed
RStudio Core Team (2023) RStudio: Integrated Development for R. Boston: RStudio, PBC. http://www.rstudio.com. Accessed: September 6, 2023Google Scholar
Sásik, R, Eliáš, P (2006) Rhizome regeneration of Fallopia japonica (Japanese knotweed) (Houtt.) Ronse Decr. I. Regeneration rate and size of regenerated plants. Folia Oecol 33:5763 Google Scholar
Scapozza, C (2013) L’evoluzione degli ambienti fluviali del Piano di Magadino dall’anno 1000 a oggi. Arch Storico Ticin 153:6092 Google Scholar
Schoenenberger, N, Rötlisberger, J, Carraro, G (2014) La flora esotica nel Cantone Ticino. Boll Soc Ticin Sci Nat 102:1330 Google Scholar
Song, YB, Yu, FH, Li, JM, Keser, LH, Fischer, M, Dong, M, van Kleunen, M (2012) Plant invasiveness is not linked to the capacity of regeneration from small fragments: an experimental test with 39 stoloniferous species. Biol Invasions 15:13671376 CrossRefGoogle Scholar
Spinedi, F, Isotta, F (2004) Il clima del Ticino. Dati, statistiche e società 6:4–39Google Scholar
Stoll, P, Gatzsch, K, Rusterholz, HP, Baur, B (2012) Response of plant and gastropod species to knotweed invasion. Basic Appl Ecol 13:232240 CrossRefGoogle Scholar
Weber, E (2011) Strong regeneration ability from rhizome fragments in two invasive clonal plants (Solidago canadensis and S. gigantea). Biol Invasions 13:29472955 CrossRefGoogle Scholar
Weise, T (2019) An R Package with Utilities for Graphics and Plots. https://github.com/thomasWeise/plotteR#readme. Accessed: September 6, 2023Google Scholar
Weller, H, Westneat, M (2019) Quantitative color profiling of digital images with earth mover’s distance using the R package colordistance. PeerJ 7:e6398 CrossRefGoogle Scholar
Figure 0

Figure 1. Study area with the location of two wild populations in Canton Ticino (Switzerland) of Polygonum ×bohemicum (white circles), the nearby research campus (black triangle), and the two urban centers of Locarno and Bellinzona (yellow squares). (A) Map of Switzerland and (B) map of the study area (Magadino plain).

Figure 1

Figure 2. Research workflow for the present study on anatomical characteristics and resprouting capacity of the underground organs of Polygonum ×bohemicum. RH, relative humidity.

Figure 2

Table 1. Rhizome measurements in Polygonum ×bohemicum.

Figure 3

Table 2. Estimate statistics of the fitted generalized linear mixed model for resprouting ability (logistic) in Polygonum ×bohemicum (ntot = 201).

Figure 4

Figure 3. Morphology of rhizomes and roots of Polygonum ×bohemicum. (A and B) Young rhizome; (C and D) mature rhizome; (E and F) young root; (G and H) mature root. bu, rhizome bud; co, cortex; ep, epidermis; ha, rhizome hair; in, internodal interval; pi, pith; rh, root hair; vb, vascular bundles.

Figure 5

Figure 4. Anatomy of rhizomes and roots of Polygonum ×bohemicum. (A) Young rhizome; (B) young root; (C) mature rhizome; (D) mature root; (E) mature rhizome center; (F) mature root center. bu, rhizome bud; ca, cambium; cl, collenchyma; co, cortex; ep, epidermis; lp, lateral pith; lr, lateral root; ox, calcium oxalate; pe, pericycle; pf, phloem in formation; ph, phloem; pi, pith; pl, phellem; pr, pericyclic fibers; ra, ligneous ray; xf, xylem in formation; xy, xylem.

Figure 6

Figure 5. Resprouting rate for each pith color class (time days = 70; ntot = 201) in Polygonum ×bohemicum. (A) using the six pith brightness classes according to grayscale [0–1] intervals and (B) using the six color classes for which the reference RGB color is indicated in Hex Code. Differences in resprouting capacities (resprouting rates) were significant among pith brightness classes (χ2 = 29.4, df = 5, P-value < 0.01), as well as among pith color classes (χ2 = 31.1, df = 5, P-value < 0.01).

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