• Aucun résultat trouvé

Phylogenetic diversity is a better predictor of wetland community resistance to Alternanthera philoxeroides invasion than species richness

N/A
N/A
Protected

Academic year: 2021

Partager "Phylogenetic diversity is a better predictor of wetland community resistance to Alternanthera philoxeroides invasion than species richness"

Copied!
7
0
0

Texte intégral

(1)

Supporting information

Table S1 Accession numbers of sequences used

Species Accession number Congener Synonym

Acorus calamus JF953049.1 Amborella trichopoda AF465284.1 Butomus umbellatus JN894389.1

Iris wilsonii JF954173.1 Iris sanguinea Lythrum salicaria MF350260.1

Pontederia cordata KJ747577.1

Polygonum lapathifolium MG221002.1 Persicaria lapathifolia Sagittaria trifolia JF956183.1

(2)

Table S2 Letter-based representation of the results of pairwise PERMANOVA of Alternanthera philoxeroides

Group C1 C2 C3 C4 C5 C6 C7 C8 8-species mixture

Biomass per individual a ab b ab b ab b b c

Root-shoot ratio a bc b ad ad acd ad ad d

Groups C1-C8 are the 1-species recipient communities grown with A. philoxeroides. The resident species in each of the groups are: C1, Lythrum salicaria; C2, Iris wilsonii; C3, Acorus calamus; C4, Typha minima; C5, Pontederia cordata; C6, Polygonum lapathifolium; C7, Sagittaria trifolia; C8, Butomus umbellatus. The 8-species mixture has all of the eight resident species grown with A. philoxeroides. Groups in each line marked without the same letter differ significantly (threshold is P < 0.05). P-values for multiple comparison were adjusted using “fdr” method.

(3)

Table S3 Results of pairwise PERMANOVA for effects of SR levels on Alternanthera philoxeroides growth traits

Comparison Total mass Root mass Stem mass mass Leaf length Stem of nodes Number SLA Number of leaves 1 - 2 1.378 1.121 1.322 1.403 2.446* 1.795 0.727 1.796 1 - 4 1.525 1.742 1.570 1.042 1.297 0.946 1.967 0.571 2 - 4 0.198 0.839 0.280 0.234 1.536 0.932 2.082 1.303

See Fig. 6 for data. Values are F-values (d.f. = 1, 23 for SR level 1; d.f. = 1, 7 for SR level 2 and 4). *, P = 0.01–0.05; **, P = 0.001–0.01; ***, P < 0.001. SLA, specific leaf area. P-values for multiple comparison were adjusted using “fdr” method.

(4)

Table S4 Results of pairwise PERMANOVA for effects of SR levels on community indicators

Comparison Diversity index Evenness index RDI biomass Total

1 - 2 2.160* 0.255 1.241 0.332

1 - 4 3.867*** 0.127 2.138 1.563 2 - 4 1.759 0.313 1.222 0.993 See Fig. 7 for data. Values are F-values (d.f. = 1, 23 for SR level 1; d.f. = 1, 7 for SR level 2 and 4). *, P = 0.01–0.05; **, P = 0.001–0.01; ***, P < 0.001. RDI, relative dominance index. P-values for multiple comparison were adjusted using “fdr” method.

(5)

Figure S1: Phylogenitic relationship among the resident species using molecular phylogenetic analysis by Maximum Likelihood method.

The evolutionary history was inferred by using the Maximum Likelihood method based on the General Time Reversible model. The tree with the highest log likelihood (-3409.16) is shown. The percentage of trees in which the associated taxa clustered together is shown next to the branches. Initial tree(s) for the heuristic search were obtained automatically by applying the Maximum Parsimony method. A discrete Gamma distribution was used to model evolutionary rate differences among sites (5 categories (+G, parameter = 1.5031)). The tree is drawn to scale,

(6)

nucleotide sequences. Codon positions included were 1st+2nd+3rd+Noncoding. All positions containing gaps and missing data were eliminated. There were a total of 596 positions in the final dataset. Evolutionary analyses were conducted using RAxML.

(7)

Fig. S2: Linear relationships betewen MPD and Alternanthera philoxeroides growth traits, with species combination as a random effect.

Figure

Table S1 Accession numbers of sequences used
Table S2 Letter-based representation of the results of pairwise PERMANOVA of  Alternanthera philoxeroides
Table S3 Results of pairwise PERMANOVA for effects of SR levels on Alternanthera  philoxeroides growth traits
Table S4 Results of pairwise PERMANOVA for effects of SR levels on  community indicators
+3

Références

Documents relatifs

The bit-rock interaction model is represented by a nonlinear constitutive equation, and the identification of the parameter of this probabilistic model is carried out using the

The two first lines of the guide of choice above (Table 3) are then modified accordingly: Table 4. less biased) type of estimator of the total species richness of

Tandis que la réutilisation et l'accès multiple sont conceptuellement distincts, les termes sont employés légèrement l'un pour l'autre. En fait le rapport entre les

Some respondents attach greater value to the freedom of people to settle and live in any corner of South Sudan and intermarry. One of the respondents has the view that unity is

Its overall aim for Swiss engagement is “With enhanced regional dialogue and coopera- tion, the three South Caucasus countries cope better with external economic, political

Or, nous avons dans ces deux exemples ou énoncés, au moins une triple locution : celle de Benflis en Algérie (l’exemple b), et celle de Morsi en Egypte (l’exemple f), une

Meyer K (1989) Restricted maximum likelihood to estimate variance components for animal models with several random effects using a derivative-free algorithm. User

Some also doubted the extent to which phylogenetic diversity is an all-pur- pose criterion to measure the importance of species (Winter et al. 2013 ): phyloge- netic