| Literature DB >> 24169592 |
Tomasz P Wyka1, Jacek Oleksyn, Piotr Karolewski, Stefan A Schnitzer.
Abstract
BACKGROUND: As proposed by Darwin, climbers have been assumed to allocate a smaller fraction of biomass to supn>port organs in compn>arison with self-supn>porting plants. They have also been hypn>othesized to possess a set of traits associated with fast growth, resource upn>take and high productivity. SCOPE: In this review, these hypn>otheses are evaluated by assembling and synthesizing published and unpn>ublished data sets from across the globe concerning resource allocation, growth rates and traits of leaves, stems and roots of climbers and self-supn>porting species.Entities:
Keywords: Climbers; ecological strategy; growth forms; lianas; plant functional types; vines
Mesh:
Year: 2013 PMID: 24169592 PMCID: PMC3838560 DOI: 10.1093/aob/mct236
Source DB: PubMed Journal: Ann Bot ISSN: 0305-7364 Impact factor: 4.357
Fig. 1.Simulated relationships between above-ground dry plant biomass (AGB) and stem diameter (D) measured at 1·30 m above the root (A, B), and between the leaf mass ratio and AGB (C, D) for Amazonian lianas and trees based on published equations. A and C utilized equations used by Gerwing and Farias (2000): AGB = 100·07+2·17×log () for lianas and AGB = 0·603 × e−1·754+2·665×ln() for trees with D <20 cm; the latter equation originally proposed by Higuchi . Leaf mass in C was estimated from equations by Gerwing and Farias (2000): leaf mass = 10−0·57+0·81×log (basal area) for lianas and leaf mass = 10−1·26+0·84×log (basal area) for trees. B and D utilized equations used by Schnitzer : AGB = e−1·484+2·657×ln(basal area) and AGB = e−0·968+2·657×ln(basal area) for lianas (the latter equation with Baskerville-corrected intercept) and AGB = e−2·00+2·42×ln() for trees with D <20 cm; the latter originally proposed by Chave . Leaf mass in D was estimated from equations by Putz (1983): leaf mass = 0·109 × (basal area) – 0·376 for lianas and leaf mass= 1·368−0·018 × (basal area) for trees.
Leaf characteristics of wild shrubs (S), trees (T) and lianas (L) (trait mean, standard deviation, minimal and maximal values) based on a global survey of published literature reports
| Variable | Growth form | Mean | s.d. | Min | Max | ANOVA | |
|---|---|---|---|---|---|---|---|
| LMA (g m−2) | L | 132 | 48·62 | 11·20 | 478·60 | *** | |
| T | 1230 | 168·25 | 23·90 | 3448·30 | |||
| S | 803 | 172·52 | 22·90 | 1513·60 | |||
| Amax(area) (μmol m−2 s−1) | L | 25 | 3·58 | 0·61 | 16·90 | ** | |
| T | 537 | 4·40 | 1·45 | 26·31 | |||
| S | 379 | 5·76 | 0·89 | 30·28 | |||
| Amax(mass) (nmol g−1 s−1) | L | 20 | 138·59a | 88·05 | 38·90 | 399·50 | NS |
| T | 478 | 124·19a | 94·06 | 8·70 | 933·50 | ||
| S | 330 | 118·39a | 76·56 | 8·80 | 426·70 | ||
| N (mg g−1) | L | 115 | 9·55 | 10·65 | 53·50 | *** | |
| T | 1820 | 7·15 | 4·00 | 59·60 | |||
| S | 1042 | 8·83 | 2·50 | 59·90 | |||
| P (mg g−1) | L | 56 | 1·20 | 0·18 | 6·09 | *** | |
| T | 1266 | 0·734 | 0·05 | 10·8 | |||
| S | 858 | 0·967 | 0·09 | 9·70 | |||
| K (mg g−1) | L | 41 | 13·47a | 10·41 | 1·47 | 50·10 | NS |
| T | 683 | 9·58a | 5·56 | 0·60 | 44·50 | ||
| S | 327 | 10·87a | 8·29 | 1·40 | 63·60 |
To ensure morphological and taxonomic homogeneity of the samples, sampling was restricted to angiosperms. Families Arecaceae, Pandanaceae, Cyperaceae and Poaceae were excluded.
P-values for one-way analyses of variance for each trait are given in the last column (***P < 0·001; ** P < 0·01; * P < 0·05; NS, not significant). Where life form effect was significant mean trait values are given in bold font. For each trait, means marked by the same letter are not significantly different from one another as determined by HSD Tukey test (P < 0·05).
Fig. 2.Regression relationships between leaf mass per area (LMA) and (A) maximal photosynthetic rate per leaf area (Aarea) and (B) maximal photosynthetic rate per leaf mass (Amass) in lianas (L), shrubs (S) and trees (T) based on literature data (see Supplementary Data Bibliography and Table S1). Regression lines run through the entire range of LMA for each growth form. Slope comparisons based on analysis of covariance between vines and the other growth forms are shown (n.s., not significant). Slopes and correlation coefficients for regression equations and associated probabilities are given in Table 2.
Slopes of linear regression of the log10-transformed area- and mass-based photosynthetic rate and nutrient concentrations against the log10-transformed LMA in lianas, trees and shrubs based on literature data sources
| Trait | Lianas | Trees | Shrubs |
|---|---|---|---|
| logAarea (μmol m−2 s−1) | 0·024 ( | 0·171 ( | 0·188 ( |
| logAmass (nmol g−1 s−1) | –1·050 ( | –0·774 ( | –0·548 ( |
| logN (mg g−1) | –0·488 ( | –0·501 ( | –0·640 ( |
| logP (mg g−1) | –0·892 ( | –0·679 ( | –0·882 ( |
| logK (mg g−1) | –1·137 ( | –0·402 ( | –0·385 ( |
The number of species used (n), correlation coefficients (r2) and significance levels (*P < 0·05; **P < 0·01, ***P < 0·001; NS, not significant) are given in parentheses.
Fig. 3.Regression relationships between mass-based concentrations of (A) nitrogen, (B) phosphorus and (C) potassium in lianas (L), shrubs (S) and trees (T) based on literature data (see Supplementary Data Bibliography and Table S1). Slope comparisons based on analysis of covariance between vines and the other growth forms are shown (n.s., not significant). Slopes and correlation coefficients for regression equations and associated probabilities are given in Table 2.
Fig. 4.Relationships between leaf mass per area (LMA) and total phenolic concentration in leaves of ten lianas and seven tree species collected at a forest site in Panama (S. A. Schnitzer et al., unpubl.). Each species is represented by 1–7 leaves from diverse light environments. Regression equations are: for lianas, logPhenolics = –0·150 + 1·264 × logLMA (n = 49, r2 = 0·40 P < 0·0001); and for trees, logPhenolics = –0·924 + 1·663 × logLMA (n = 23, r2 = 0·52 P < 0·0001). Slopes and intercepts were compared by analysis of covariance with, and subsequently without growth form × LMA interaction, and were found not to be statistically different (both P > 0·05). The four outlying points surrounded by an elipse belong to tree species Quassia amara and were excluded from the analysis. The method of phenolic compound determination has been described in Karolewski .
Functional traits of lianas as compared with trees based on a global review of published data and observations
| Trait category | Lianas vs. trees | Key references |
|---|---|---|
| Plant biomass allocation | Greater ratio of leaf mass to above-ground biomass (at large plant biomass) | |
| Greater ratios of leaf mass and leaf area to stem cross-sectional area | ||
| Growth rate | Faster relative growth rate | |
| Faster absolute shoot extension rate | ||
| Slower stem diameter growth | ||
| Photosynthetic rate | Comparable on a leaf area basis | |
| Slightly (non-significantly) higher on a leaf mass basis | ||
| Leaf respiratory rate | No consistent difference at 25 °C (on a mass basis) | |
| Slightly lower Q10 | ||
| Leaf structural traits | Smaller lamina area | |
| Lower LMA (leaf mass per area) | ||
| Smaller leaf thickness | ||
| Similar volume fraction of air spaces | ||
| Foliar nutrients | Higher N per leaf mass | |
| Higher P per leaf mass | ||
| Some species with much greater K per leaf mass | ||
| Higher Ca, Mg, Zn, Mn, B and Fe per leaf mass | ||
| Carbon-based foliar defences | Lower concentration of phenolics | |
| Stem traits | Developmental transitions of stem habit (self-supporting vs. climbing vs. searching) | |
| Occurrence of anomalous vascular cambia and modified secondary growth pattern | ||
| Longer and wider vessels and higher hydraulic conductivity | ||
| Higher susceptibility to cavitation | ||
| Lower wood density | ||
| Lower wood and stem stiffness | ||
| Higher stem healing ability | ||
| Root system traits | Greater rooting depth | |
| Frequent positive root pressure | ||
| Similar vessel diameter | ||
| Variety of modifications (adventitious rooting, lignotubers) |
Traits directly associated with the climbing mechanisms have been ommitted. References cited here provide both supporting and contrary data.
Key questions on structure–function relationships in lianas that need to be addressed by future research
| No. | Question |
|---|---|
| 1. | What are the ratios of biomass partitioning to particular organ types in fully grown lianas? |
| 2. | Are relative growth rates higher in lianas than in self-supporting plants of the same size? |
| 3. | How do key leaf traits contribute to whole-plant carbon gain in lianas vs. self-supporting plants? |
| 4. | To what extent do leaf hydraulic traits mirror those of the stems? |
| 5. | What are the depths and morphological characteristics of the liana root systems? |
| 6. | What mechanisms are responsible for triggering the switch between self-supporting and lianescent growth habit in species exhibiting developmental plasticity? |
| 7. | Do lianas with different climbing mechanisms form separate groups with respect to other functional traits? |