Article | Open | Published:

Water depth affects reproductive allocation and reproductive allometry in the submerged macrophyte Vallisneria natans

Scientific Reportsvolume 7, Article number: 16842 (2017) | Download Citation

Abstract

In freshwater ecosystems, shifts in hydrological regimes have profound effects on reproductive output (R), along with vegetative biomass (V) and survival of plants. Because reproductive allocation (RA) is allometric, it remains unclear whether the observed variation of RA in response to water level variability is due to fixed patterns of development or plasticity in the developmental trajectories. Here, we investigated shifts in RA of a submerged macrophyte Vallisneria natans in response to water depth to test the hypothesis that allometric trajectories of RA are highly plastic. Plants were grown at three water depths (50, 100 and 150 cm) and measured after 26 weeks of growth. The relationships between R and V among treatments were compared. Deep water affected both biomass and number of fruits produced per plant, leading to less sexual reproduction. Plants in deep water started flowering at a smaller size and despite their small mature size, had a relatively high RA. Furthermore, these plants had a much lower log R–log V relationship than shallow- or intermediate-water plants. In conclusion, reproduction of V. natans is highly variable across water depth treatments, and variations in reproductive allometry represent different strategies under an important stress gradient for these freshwater angiosperms.

Introduction

Resource allocation to reproduction in plants is an important measure of their capacity to convert resources into propagules and thus a measure of fitness1. Patterns of reproductive allocation (RA) in plants are central to evolution of life histories and expression of ecological strategies2. Plants evolve patterns of RA in response to numerous selection pressures and constraints, including competition, disturbance and environmental stress1,2. For example, plants adapted to water-limited habitats tend to invest fewer resources in reproduction relative to vegetative growth, largely because flowering is water costly3. Therefore, variation in RA has a key role in plant adaptation to changing environments. Understanding the mechanisms underlying variation in RA is critical for predicting plant responses to future environmental changes. Here, we evaluate predictions on patterns and variation in RA of a submerged macrophyte in response to increased water depth from the perspectives of common development and plastic trajectory hypotheses.

Reproductive output is a function of RA – the proportion of biomass allocated into flowers and fruits relative to plant size4. Since plant growth is allometric, any factor that affects vegetative biomass (V) may also influence reproductive biomass (R). This size-dependent effect has been well documented5,6,7. In this event, patterns of RA can be better understood by analysing and interpreting allometric relationships between reproductive and vegetative investment within populations [i.e. reproductive (R) vs. vegetative (V) biomass, or log R vs. log V]. In several studies, there was large among population variation in the allometric slopes of the R–V relationship, with much of this variation induced by the biotic and abiotic environments in which individual plants were grown8,9,10,11. Contrary to this view, the relationship between R and V of a genotype is predicted to be not particularly plastic across different environments – rather, plasticity in this relationship is mostly due to differences in individual position along a common developmental trajectory4,12. However, this explanation has not been widely accepted. For example, it has been argued that some environmental stresses tend to favor flowering at relatively small sizes, and this plasticity can result in variability in the R–V relationship6. Analysing size-dependent reproduction is an important step in understanding plant biomass partitioning between vegetative and reproductive parts. However, more information is needed before we can predict patterns of RA in response to environmental changes.

Water depth is a key factor controlling the functional stability of aquatic systems13,14, largely because it has effects on growth, reproduction and re-establishment of submerged macrophyte species by changing irradiance to organs, and thus influencing carbon assimilation and nutrient use. These submerged species are important entities of freshwater ecosystems and constitute a dominant actor in many shallow lakes15. There is often zonation of submerged macrophytes along water-depth gradients. Generally, a certain level of water depth is conductive to maintenance of stable macrophyte communities16, whereas excessively shallow or deep water is detrimental to stability of submerged macrophyte communities17,18. Water depth in many aquatic systems is not always constant, but mainly depends on anthropogenic factors and regional conditions. Accordingly, investigating species-level responses to water depth is crucial for understanding the causes for community-level changes in changing environments.

Deeper water generally results in lower light intensity and higher water pressure but greater stability of other factors in the aquatic environment, e.g. temperature and sediment characteristics. Overall conditions for plant growth and sexual reproduction are less favourable in very deep water; consequently, reduced flowering and biomass of aquatic plants in deep-water habitats are common. For example, Vallisneria spp. use hydrophilous pollination and must produce female inflorescences that reach the water surface by elongation of its peduncles19,20. Therefore, reproductive investment may be limited to individuals that can invest the resources to make these large inflorescences. From an allocation perspective, the R–V allometric slope reflects how efficiently vegetative biomass is converted into reproductive biomass across plant sizes within a population7,12. Plant populations in more favourable environments may have a steeper slope for the log R–log V relationship, because under benign conditions, relatively large individuals can maximize RA with little risk to further growth or survival (i.e. high conversion efficiency at larger sizes). Conversely, for plants growing under certain forms of stress, high RA at small sizes may be favoured if mortality is so high that reducing early life reproduction and maintaining high allocation to growth can be hazardous (i.e. high conversion efficiency at smaller sizes). If so, populations adapted to deep-water habitats would have lower log R–log V slopes.

Hydrological regimes in Poyang Lake (the largest freshwater Lake in China) have been disturbed for decades by human activities, including dam constructions, sand mining, and drainage, with impacts on biodiversity and productivity21,22,23. Water depth is one of the most important factors influencing macrophyte community structure and distribution, at least at a local scale. The objective of this study was to identify effects of water depth in allocation strategies of Vallisneria natans, a dominant species in submerged macrophyte communities in the Poyang Lake. We grew V. natans at three water depths to address the following questions: 1) How do reproductive output and RAs of V. natans differ in response to water depths? 2) Is the slope of log R–log V relationships among individuals of this species greater in intermediate and shallow water treatments relative to the deep water treatment? 3) How does reproductive allometry among individuals of this species differ among various water depths?

Results

Effects of water depth on the growth of reproductive and non-reproductive ramets

Vegetative growth and reproduction had distinct responses to different water depths within our experimental populations of V. natans. Water depth had a strong effect on reproductive and non-reproductive ramet number, as well as total ramet number of plants (P < 0.001, P < 0.05 and P < 0.001, respectively). Plants grown at an intermediate depth (100 cm) had the most reproductive ramets, whereas those grown in deep water (150 cm) had the fewest (Fig. 1a). Furthermore, the fewest non-reproductive ramets occurred in intermediate water whereas deep water had the most (Fig. 1a). Plants in intermediate water had the greatest biomass of reproductive ramets and lowest biomass of non-reproductive ramets, with the opposite outcome for deep-water plants (Fig. 1b).

Figure 1
Figure 1

(a) Number and (b) biomass of reproductive and non-reproductive ramets of Vallisneria natans plants in the shallow, intermediate and deep water depth treatments (50, 100 and 150 cm, respectively). Values are means ± SE. Values with the same letter are not significantly different among water depth treatments at the P < 0.05 level.

Effects of water depth on plant biomass, height and reproductive traits

Variations in water depth induced large individual variation in plant size and reproductive output. Vegetative mass and total biomass of V. natans were greatest in intermediate water, medium in shallow water and lowest in deep water (Fig. 2a). Plants in deep water had lower reproductive biomass than those in shallow or intermediate water (P < 0.001 for each), whereas there were no significant differences between shallow and intermediate water (P = 0.382; Fig. 2a). Log (vegetative mass), water depth effects and the water depth × log (vegetative mass) interaction were all highly significant in explaining variation in log reproductive mass (Table 1). Most of the variation in log (reproductive mass) produced by individuals was explained by variation in log (vegetative mass) (Table 1), indicating that plant size was the most important factor influencing reproductive output. The significant water depth × log (vegetative mass) interaction means that the populations in different water depth treatments expressed different relationships between reproductive and vegetative mass (see below).

Figure 2
Figure 2

(a) Total biomass (black bars), vegetative biomass (light gray bars) and reproductive biomass (dark gray bars) and (b) biomass allocation to reproductive and vegetative (leaf + root + stolon) parts of Vallisneria natans plants (reproductive parts, white; vegetative parts, black) in the shallow, intermediate and deep water depth treatments (50, 100 and 150 cm, respectively). Values are means ± SE. Values with the same letter are not significantly different among water depth treatments at the P < 0.05 level.

Table 1 General linear model of the effects of water depth and log (vegetative mass) on log (reproductive mass). Adjusted r 2 for the model is 0.96.

Mean plant height increased sharply with increasing water depth (P < 0.001; Fig. 3a). In deep water, size at first flowering (measured as leaf number at the initiation of reproduction) and the number of fruits were smaller than for plants grown in shallow or intermediate water (P < 0.01; P < 0.001; Fig. 3b,c). Plants in shallow water also initiated flowering at smaller sizes than those in intermediate water (Fig. 3b). Surprisingly, shallow-water plants also produced fewer fruits than intermediate-water plants, though this was not significant (Fig. 3c).

Figure 3
Figure 3

Effects of water depth on (a) height, (b) leaf number at the initiation of reproduction and (c) fruit number of Vallisneria natans. Values are means ± SE. Values with the same letter are not significantly different among water depth treatments at the P < 0.05 level.

Biomass allocation to vegetative growth and reproduction

In a traditional analysis of the RA at the population level as a function of water depth, percent allocation to reproductive biomass and vegetative biomass of the species varied significantly among treatments (P < 0.001; P < 0.001; Fig. 2b). Plants in deep water had a relatively high allocation to reproduction compared to those in the two other water treatments, whereas plants in shallow water had higher allocation to reproduction than those in intermediate water (Fig. 2b). The biomass invested to vegetative parts (leaf + root + stolon) was lowest for plants in deep water, medium for plants in shallow water and highest for plants in intermediate water (Fig. 2b).

Reproductive allometric relationships among individuals

There were significant positive relationships between reproductive biomass and vegetative biomass at all water depths (Table 2; Fig. 4). Water depth significantly affected SMA slopes of log R–log V relationships (P < 0.01). The post hoc multiple comparisons showed that the log R–log V slope was highest in intermediate water, where the slope was significantly greater than 1 (the slope of isometry) and significantly greater than the other treatments (Table 2; Fig. 4). Shallow-water plants also had a higher log R–log V slope than deep-water plants (P < 0.01; Table 2; Fig. 4), although SMA slopes in shallow- and deep-water treatments were significantly less than 1 (Table 2).

Table 2 Estimated parameters in allometric regression between log (reproductive biomass) and log (vegetative biomass) of Vallisneria natans grown at three levels of water depth, using Standardized Major Axis.
Figure 4
Figure 4

The relationships between log (reproductive biomass) and log (vegetative biomass) among individuals of Vallisneria natans grown in the shallow, intermediate and deep water depth treatments (50, 100 and 150 cm, respectively), with standardized major axis regression lines for each treatment.

Discussion

Allocation to reproduction in V. natans was highly variable across water depth treatments, and variation in RA represents distinct strategies under an important stress gradient for these plants. Most importantly, the experimental design enabled us to determine causes of variation in RA by using a system that should highly favour plasticity in developmental trajectories that would not be consistent with variability along a common developmental trajectory.

Reproductive ramet number was a major factor affecting reproductive output in clonal macrophyte V. natans. For many annual plants, architectural traits are likely to be important for seed production24, as plants must first accumulate resources and build reproductive machinery (ramets or branches) before any products (seeds) can be produced12. Trade-offs are very difficult to actually demonstrate in clonal plants25. In the present study, plants with a high number of reproductive ramets tended to have few non-reproductive ramets. This suggests a trade-off between reproductive and vegetative ramets across environments. In addition, this could suggests a change as plants develop – where they can, they convert ramets to reproduction. So plants become more reproductive and less vegetative, giving the appearance of a trade-off.

Light availability along the water depth gradient exerts a primary influence on the growth of submerged macrophytes, mainly in terms of photosynthesis. Light attenuates very quickly in water, and the decrease of light availability in water is considered the main reason for the extinction of submerged plants26. Due to vertical light attenuation in water, plants in deep water tended to reduce their resource investment in ramet production, and prioritize vertical growth and elongation of leaves, which would confer greater uptake of light. In contrast, with plant height of 31.5 cm at a water depth of 50 cm, it was very likely that leaves on plants in the shallow water treatment had access to very high photosynthetically active radiation. In that case, in shallow water, high light conditions might be a stressor for submerged macrophytes due to photo-inhibition27. Therefore, plants in shallow water seemed to priorize lateral growth in lieu of height growth. Furthermore, in the present study, plants invested much fewer resources to reproductive ramets in deep versus shallow or intermediate water. We inferred that light limitation inhibited the number of meristems that could potentially produce reproductive structures for V. natans, negatively influencing the number of inflorescences and fruits produced. An important reason for this is that production of a single successful inflorescence in deep water is much more expensive in terms of biomass allocation due to its length, as an inflorescence that does not reach the surface of the water will not receive pollen.

Water depth had major effects on plant size and reproductive output. In a previous study, V. natans attained maximum total biomass and leaf mass at 60 cm, whether in clay or sandy loam28. However, in the present study, maximum biomass of V. natans was obtained at 100 cm, perhaps due to water clarity. Generally, macrophytes only grow in restricted ranges of water depth, resulting in a zonal distribution. Reproductive output (mass of fruits produced) of V. natans was reduced by deep water, since production of very long peduncles in deep water limits fruit or seed production (i.e. if plants can only allocate so much to reproduction, and most of it is in the peduncle, then this constraint on RA may limit fecundity). It is remarkable that shallow-water plants also produced fewer fruits than intermediate-water plants ‒ though this was not significant. Perhaps there are potentially high costs associated with being tall in shallow water, where light intensity is extremely strong. If stressful conditions for plant growth and survival at the apical meristems intensify as plants get larger, the ability to produce, maintain and mature reproductive structures would also decrease as plants get larger. Lower sexual reproduction in the submerged angiosperm may influence seed dispersal, re-establishment after disappearance, and may also reduce resistance to other environmental stressors due to lower genetic diversity29.

Greater reproduction allocation is typically associated with exposure to stress. Many factors can severely limit reproduction but selection can still favour a high commitment to reproduction2. In this study, individuals of V. natans growing in deep water (the high stress treatment) invested more resources to reproductive structures and initiated reproduction at smaller sizes than those growing in shallower water. According to the life history theory, individuals that start reproducing earlier in life or increase resource allocation to reproduction are usually favoured under harsh environments, due to reduced life expectancy30. We inferred that low light level in deep water can trigger flowering or result in higher RA, as plants have been selected to reproduce as much as it can with the resources available when the probability of surviving or growing large is low. In this case, delaying reproduction and maintaining high allocation to vegetative growth would be inherently risky, as plants may not reach an optimal size for reproduction before the end of a limited growing season. High RA under adverse conditions could be of great benefit to V. natans, which often faces large variations in water depth over time and space in Poyang Lake.

In shallow water, where reproduction has a lower cost due to production of smaller inflorescences (i.e. a lower investment in peduncles to reach the water surface), plants had higher allocation to reproduction than intermediate-water plants. This difference in reproduction allocation may be also an adaptive response to limits imposed on plant growth and survival by low water level. Plants in low water also may at risk of drying. Small reductions in water level during a summer dry season could cause mortality in shallow-water plants, but not in intermediate-water plants. Additionally, if selection is on fecundity (seed production), plants in shallow water may produce more seeds per unit reproductive mass since they produce short peduncles. The ability to reproduce under such potentially stressful conditions is crucial for this annual freshwater angiosperm, and fecundity selection could maximize fitness in conditions where non-seed reproductive allocation is low.

Allometry can be used to assess effects of size on expression of allocation to a given trait or plant function. The log R–log V relationship was highly plastic (significantly different allometric slopes across treatments), indicating that a size-dependent effect had an important role in variations of resource investment in reproduction of V. natans in response to variable water depths. A size-dependent RA trajectory has been considered as a bet-hedging strategy that ensures that the plant species converts certain plant growth to reproduction under changing environments to improve the species’ fitness12. Differences in size-dependent RA may be an adaptive response to environmental limitation on plant growth and survival in unfavourable environments. V. natans plants exhibited a more positive slope for the log R–log V relationship under relatively favourable conditions (100 cm depth), because relatively large plants can maximize RA with little risk to further growth or survival whereas small individuals developed more slowly and had fewer reproductive ramets and lower RA at harvest than large individuals. Rather, for this annual plant growing in deep water, lower log R–log V slopes are favoured as high RA at small size may be advantageous if mortality due to limited light is so high that delaying reproduction and maintaining high allocation to growth may be hazardous. However, for plants growing in shallow water, if the environment prevents large individuals from producing proportionally more offspring than small individuals because additional tissues are damaged by the stressful environment (excessive light), the log R–log V slope would be lower. In this sense, a change in allometric slope represents a trade-off of performances at larger versus at smaller sizes.

An alternative explanation for plasticity in trajectories of RA is that the relationship between vegetative and reproductive biomass seen across plants at final development was a product of plasticity in size at first reproduction6. V. natans responded to stressful environments (deep or shallow water) by decreasing their reproductive threshold, that is, by an earlier flowering and fruiting. This response suggests that even the major developmental stages such as the size at reproduction can be highly plastic. Experiments on herbaceous and woody plants demonstrated that stressful environments - namely resource impoverishment and competition – induce reproduction at smaller sizes2,31,32. Our results were consistent with these patterns. The adaptive value of reproduction at larger sizes in benign environments relies on a positive relationship between fecundity and size at reproduction, so that attaining a larger size implies an increased life time reproductive output33.

In conclusion, deep water resulted in lower sexual reproduction but higher RA in this freshwater angiosperm species; this has implications for population persistence, species dispersal and evolution. Based on a comparative allometric approach, plants growing along a water-depth gradient had distinct patterns of size-dependent resources allocation, suggesting that reproductive allometry can be an adaptive strategy of plant growth and allocation, rather than a product of fixed developmental constraints. Plasticity in reproductive strategies in macrophytes is likely to be of adaptive significance under future shifts of hydrological regimes due to human disturbance and regional climate change.

Methods

Plant species

We examined reproductive allometry in Vallisneria natans (Lour.) Hara (Hydrocharitaceae). Vallisneria is a monocot genus of submerged dioecious species that grows at the bottom of freshwater bodies and undergoes hydrophilous pollination on the water surface20. V. natans is a stoloniferous submerged macrophyte, which usually forms monodominant communities in many freshwater ecosystems from northeast to southwest China. It is frequently, though not always, an annual species34. The species have rosette-like ramets with multiple linear leaves 20–200 cm long and 0.5–2 cm wide. New ramets are produced through extension of stolons. Female flowers are connected to the mother plant by a long spiral peduncle that forms in a leaf axil, where as male inflorescences, containing hundreds of minute (0.5 mm) flowers enclosed by a short-peduncled spathe, release their flower as small “boats” which rise to the water surface. Flowering and seed set are indeterminate, occurring from July to October in eastern China. This species also has an important role in the structure and function of freshwater ecosystems, such as purifying water and providing food and habitat for aquatic fauna, and is therefore used frequently to restore shallow lakes. It was reported that V. natans had high phenotypic variation and great potential to adapt to highly variable environments34.


Experimental design

Mature fruits of V. natans were collected in late October, 2014 from female plants growing naturally at the water depths of 80–100 cm in Meixi Lake (116°03′E, 29°13′N), a shallow lake within Poyang Lake National Nature Reserve (115°55′–116°03′E, 29°05′–29°15′N), Jiangxi Province, China. The water table in Meixi Lake may fluctuate, resulting in the plants being at a depth range of 20–180 cm. Upon collection, the flesh and pectin of each fruit were carefully removed, and seeds were stored in a plastic container filled with water, in darkness at 4 °C for 5 months.

The experiment was conducted in a mesocosm facility located at the Poyang Lake Laboratory for Wetland Ecosystem Research, Chinese Academy of Sciences (116°03′E, 29°26′N), Lushan City, in the northwestern part of Poyang Lake Basin of China. In April 2015, over 300 seeds of V. natans were germinated in each of three bins (56 cm long × 38 cm wide width × 28.5 cm deep) containing sterilized Poyang Lake sediment (~10 cm thick) and 10 cm of water. In late May 2015, when seedlings had produced four or five leaves, we randomly transplanted one seedling into each of 225 pots (18 cm diameter × 12 cm deep). Each pot contained 10 cm Poyang Lake sediment (TN: 2.41 mg g−1, TP: 0.75 mg g−1, organic matter content: 5.82%). After transplantation, the experiment was conducted in 9 outdoor mesocosms (2.0 m long × 2.0 m wide × 1.6 m deep) arranged in a randomized block design with three repetitions per water depth treatment. That is, one of three water depth treatments was randomly assigned in each of the three replicate blocks. According to the field investigation over 25 lakes along the middle-lower reaches of Yangtze River, the range of water depth at which V. natans naturally distributed was approximately 0.2–1.5 m35, although this species may occurred at much deeper water in other water bodies such as Lake Erhai and Fuxian where the water is much clearer than that of those lakes in the middle-lower reaches of Yangtze River. According to this, three levels of water depth were used: 50 cm (shallow), 100 cm (intermediate) and 150 cm (deep). The mesocosms were fully filled with fresh lake water (TN: 1.49 mg l−1; TP: 0.06 mg l−1). The water was filtered using a plankton net (pore size: 0.505 mm) to exclude aquatic animals. Twenty-five pots of planted V. natans were placed in each mesocosm at 50 cm depth for 10 d acclimation, then were suspended at the appropriate water depth by nylon ropes connected to platforms that constructed from tubes of galvanized metal lying on top of the mesocosms. Water was supplied to each mesocosm from an irrigation reservoir adjacent to the mesocosm facility. Additional water was added to the mesocosms two or three times per week to keep the water level stable and aid in water circulation. Throughout the experiment, observed phytoplankton on the water surface was removed using a filter net (pore size: 0.03 mm), and epiphyton on plants was removed using a soft brush.


Harvest and data collection

Treatments were maintained over 18 weeks from June to October 2015. We did not focus on male individuals in this study due to the problem of quantifying reproductive biomass for males that released their minute flowers to the water surface at maturation. During this experiment, plant height, leaf number and fruit numbers were recorded biweekly. Height was measured as the distance from the soil surface to the apex of the longest leaf (to the nearest 1 mm). Size at first flowering was recorded as the number of leaves at the initiation of reproduction32. Besides some plants died during the experiment (n = 31), the total number of the pots having plants was 194. Among these, we did not include the plants of which leaves were grazed by unidentified aquatic insects in trait measurement (n = 34). Therefore, the final numbers of female plants were 21, 23 and 21 for the three water depths, respectively. On 5 October 2015, when all V. natans individuals were fully mature and started to senesce (end of flowering), they were harvested. Pots with healthy individuals with intact leaves were removed from the tanks and each plant was hand-washed. Each plant was separated into two types of ramets by aboveground part: reproductive ramets and non-reproductive ramets (already mature but no flower), and their numbers were recorded. Reproductive ramets were further divided into leaves, peduncles and fruits. Therefore, dry mass of the two types of ramets were determined separately. Also, each plant has two parts of biomass: vegetative part and reproductive part. Vegetative biomass (V) included leaves, stolons and roots from both reproductive ramets and non-reproductive ramets, and reproductive biomass (R) included peduncles and fruits. All separated components of each plant were put into individual paper bags, oven-dried at 70 °C for 72 h and then weighed.


Statistical analyses

General linear mixed model was used to analyse variations of all plant traits (height, total biomass, vegetative biomass, fruit mass, number of leaves at first flowering, fruits, reproductive ramets and non-reproductive ramets) and allocations to different components in response to water depths. Comparisons between means were done with a LSD test, with significance level of P < 0.05. Effects of water depth and log V on log R were tested with general linear models, with log R as the response variable and water depth and log V as variables. A univariate analysis was used to test for interactions between water depth treatment and log V. All data were analysed with SPSS statistical software (version 19.0; SPSS Inc., Chicago, IL, USA).

To analyze allometric scaling in biomass patterns and to homogenize variance, biomass values were log-transformed. Allometric relationships between R and V among individuals were analysed by the log transformed version of the classical “allometric” model: log R = a log V + log b, where a is the allometric slope and b is the allometric coefficient. Standardized major axis (SMA) regression was used to determine the R–V relationship at harvest under different water depth treatments, using the SMATR package in R version 3.1136. We tested whether the slope among individuals of each treatment was different from 1. We tested whether there were significant differences in slopes among water depth treatments by running multiple post hoc comparisons. The significance level for testing slope heterogeneity and difference from slope = 1 was P < 0.05.

Additional information

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  1. 1.

    Reekie, E. G. & Bazzaz, F. A. Reproductive Allocation in Plants (eds) (Elsevier, 2005).

  2. 2.

    Bonser, S. P. High reproductive efficiency as an adaptive strategy in competitive environments. Funct Ecol 27, 876–885, https://doi.org/10.1111/1365-2435.12064 (2013).

  3. 3.

    Xie, L. N., Guo, H. Y. & Ma, C. C. Alterations in flowering strategies and sexual allocation of Caragana stenophylla along a climatic aridity gradient. Sci Rep-UK 6, 33602, https://doi.org/10.1038/srep33602 (2016).

  4. 4.

    Weiner, J., Campbell, L. G., Pino, J. & Echarte, L. The allometry of reproduction within plant populations. J Ecol 97, 1220–1233, https://doi.org/10.1111/j.1365-2745.2009.01559.x (2009).

  5. 5.

    Schmid, B. & Weiner, J. Plastic relationships between reproductive and vegetative mass in Solidago altissima. Evolution 47, 61–74, https://doi.org/10.2307/2410118 (1993).

  6. 6.

    Bonser, S. P. & Aarssen, L. W. Interpreting reproductive allometry: individual strategies of allocation explain size-dependent reproduction in plant populations. Perspect Plant Ecol 11, 31–40, https://doi.org/10.1016/j.ppees.2008.10.003 (2009).

  7. 7.

    Guo, H. et al. Reproductive allometry in Pedicularis species changes with elevation. J Ecol 100, 452–458, https://doi.org/10.1111/j.1365-2745.2011.01884.x (2012).

  8. 8.

    Ohlson, M. Size-dependent reproductive effort in three populations of Saxifraga hirculus in Sweden. J Ecol 76, 1007–1016, https://doi.org/10.2307/2260629 (1988).

  9. 9.

    Welham, C. V. J. & Setter, R. A. Comparison of size-dependent reproductive effort in two dandelion (Taraxacum officinale) populations. Can J Bot 76, 166–173, https://doi.org/10.1139/b06-011 (1998).

  10. 10.

    Sugiyama, S. & Bazzaz, F. A. Size dependence of reproductive allocation: the influence of resource availability, competition and genetic identity. Func Ecol 12, 280–288, https://doi.org/10.1046/j.1365-2435.1998.00187.x (1998).

  11. 11.

    Wang, P. et al. Shoot competition, root competition and reproductive allocation in Chenopodium acuminatum. J Ecol 102, 1688–1696, https://doi.org/10.1111/1365-2745.12313 (2014).

  12. 12.

    Weiner, J. et al. Is reproductive allocation in Senecio vulgaris plastic? Botany 87, 475–481, https://doi.org/10.1139/B09-012 (2009).

  13. 13.

    Nõges, T. & Nõges, P. The effect of extreme water level decrease on hydrochemistry and phytoplankton in a shallow eutrophic lake. Hydrobiologia 143, 277–283, https://doi.org/10.1007/978-94-017-2986-4_30 (1999).

  14. 14.

    Dong, B. L., Qin, B. Q., Gao, G. & Cai, X. L. Submerged macrophyte communities and the controlling factors in large, shallow Lake Taihu (China): sediment distribution and water depth. J Great Lakes Res 40, 646–655, https://doi.org/10.1016/j.jglr.2014.04.007 (2014).

  15. 15.

    Søndergaard, M. et al. Submerged macrophytes as indicators of the ecological quality of lakes. Freshwater Biol 55, 893–908, https://doi.org/10.1111/j.1365-2427.2009.02331.x (2010).

  16. 16.

    Geest, G. J. V. et al. Water-level fluctuations affect macrophyte richness in floodplain lakes. Hydrobiologia 539, 239–248, https://doi.org/10.1007/s10750-004-4879-y (2005).

  17. 17.

    Liu, Y., Guo, H. C., Zhou, F., Wang, Z. & Huang, K. Role of water level fluctuation on aquatic vegetation in lakes. Acta Ecol Sin 26, 3117–3126, in Chinese, with English abstract, https://doi.org/10.3321/j.issn:1000-0933.2006.09.042 (2006).

  18. 18.

    Zhu, G. R., Li, W., Zhang, M., Ni, L. Y. & Wang, S. R. Adaptation of submerged macrophytes to both water depth and flood intensity as revealed by their mechanical resistance. Hydrobiologia 696, 77–93, https://doi.org/10.1007/s10750-012-1185-y (2012).

  19. 19.

    Philbrick, C. T. & Les, D. H. Evolution of Aquatic Angiosperm Reproductive Systems What is the balance between sexual and asexual reproduction in aquatic angiosperms? Bioscience 46, 813–826, https://doi.org/10.2307/1312967 (1996).

  20. 20.

    Kosuge, K., Iida, S., Katou, K. & Mimura, T. Circumnutation on the water surface: female flowers of Vallisneria. Sci Rep 3, 1133, https://doi.org/10.1038/srep01133 (2013).

  21. 21.

    Shankman, D., Keim, B. D. & Song, J. Flood frequency in China’s Poyang Lake region: trends and teleconnections. Int J Climatol 26, 1255–1266, https://doi.org/10.1002/joc.1307 (2006).

  22. 22.

    Wu, G. et al. Will the Three Gorges Dam affect the underwater light climate of Vallisneria spiralis L. and food habitat of Siberian crane in Poyang Lake? Hydrobiologia 623, 213–222, https://doi.org/10.1007/s10750-008-9659-7 (2009).

  23. 23.

    Lai, X. et al. Sand mining and increasing Poyang Lake’s discharge ability: A reassessment of causes for lake decline in China. J Hydrol 519, 1698–1706, https://doi.org/10.1016/j.jhydrol.2014.09.058 (2014).

  24. 24.

    Bonser, S. P. & Aarssen, L. W. Allometry and development in herbaceous plants: functional responses of meristem allocation to light and nutrient availability. Am J Bot 90, 404–412, https://doi.org/10.3732/ajb.90.3.404 (2003).

  25. 25.

    Eckert, C. G., Dorken, M. E. & Barrett, S. C. Ecological and evolutionary consequences of sexual and clonal reproduction in aquatic plants. Aquat Bot 135, 46–61, https://doi.org/10.1016/j.aquabot.2016.03.006 (2016).

  26. 26.

    Schelske, C. L. et al. How anthropogenic darkening of Lake Apopka induced benthic light limitation and forced the shift from macrophyte to phytoplankton dominance. Limnol Oceanogr 55, 1201–1212, https://doi.org/10.4319/lo.2010.55.3.1201 (2010).

  27. 27.

    Su, W. H., Zhang, G. F., Zhang Y. S., Xiao, H. & Xia, F. The Photosynthetic Characteristics of Five Submerged Aquatic Plants. Acta Hydrobiol Sin 28, 391–395, in Chinese, with English abstract, https://doi.org/10.3321/j.issn:1000-3207.2004.04.010 (2004).

  28. 28.

    Bai, X., Chen, K. N., Zhao, H. G. & Chen, X. M. Impact of water depth and sediment type on root morphology of the submerged plant Vallisneria natans. J Freshwater Ecol 30, 75–84, https://doi.org/10.1080/02705060.2014.970672 (2015).

  29. 29.

    Boedeltje, G., Qzinga, W. A. & Prinzing, A. The trade-off between vegetative and generative reproduction among angiosperms influences regional hydrochorous propagule pressure. Global Ecol Biogeogr 17, 50–58, https://doi.org/10.1111/j.1466-8238.2007.00365.x (2008).

  30. 30.

    Roff, D. A. Age and size at mature in The Evolution of Life Histories: Theory and Analysis (ed. Roff, D. A.) 179–241 (Chapman and Hall, 1992).

  31. 31.

    Santos-del-Blanco, L., Bonser, S. P., Valladares, F., Chambel, M. R. & Climent, J. Plasticity in reproduction and growth among 52 range-wide populations of a Mediterranean conifer: adaptive responses to environmental stress. J Evolution Biol 26, 1912–1924, https://doi.org/10.1111/jeb.12187 (2013).

  32. 32.

    Fazlioglu, F., Al-Namazi, A. & Bonser, S. P. Reproductive efficiency and shade avoidance plasticity under simulated competition. Ecol Evol 6, 4947–4957, https://doi.org/10.1002/ece3.2254 (2016).

  33. 33.

    Metcalf, C. J. E., Rose, K. & Rees, M. Evolutionary demography of monocarpic perennials. Trends Ecol Evol 18, 471–480, https://doi.org/10.1016/S0169-5347(03)00162-9 (2003).

  34. 34.

    Zhou, Y. et al. Divergences in reproductive strategy explain the distribution ranges of Vallisneria species in China. Aquat Bot 132, 41–48, https://doi.org/10.1016/j.aquabot.2016.04.005 (2016).

  35. 35.

    Chen, L., Ye, Q. G., Pan, L. Z., Xu, L. M. & Huang, H. W. Vallisneria species in lakes of the middle-lower reaches of the Yangtze River of China. Chinese J Plant Ecol 32, 106–113, in Chinese, with English abstract, https://doi.org/10.3773/j.issn.1005-264x.2008.01.012 (2008).

  36. 36.

    Warton, D. I., Wright, I. J., Falster, D. S. & Westoby, M. Bivariate line fitting methods for allometry. Biol Rev 81, 259–291, https://doi.org/10.1017/S1464793106007007 (2006).

Download references

Acknowledgements

Funds for this research were provided by the National Natural Science Foundation of China (31400403), China Postdoctoral Science Foundation (2015M571484), Natural Science Foundation of Jiangxi Province (20161BAB214157) and Opening Foundation of Key Laboratory of Poyang Lake Environment and Resource Utilization (Nanchang University), Ministry of Education (PYH2015-08).

Author information

Affiliations

  1. Center for Watershed Ecology, Institute of Life Science and Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, Nanchang University, Nanchang, 330031, China

    • Lei Li
    •  & Zhichun Lan
  2. The Ministry of Education Key Laboratory for Biodiversity Sciences and Ecological Engineering, Institute of Biodiversity Science, Institute of Botany, Fudan University, Shanghai, 200438, China

    • Lei Li
    • , Zhichun Lan
    • , Jiakuan Chen
    •  & Zhiping Song
  3. National Ecosystem Research Station of Jiangxi Poyang Lake Wetland, Nanchang, 330038, China

    • Lei Li
    •  & Zhichun Lan
  4. Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, 2052, Australia

    • Stephen P. Bonser
  5. Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China

    • Ligang Xu

Authors

  1. Search for Lei Li in:

  2. Search for Stephen P. Bonser in:

  3. Search for Zhichun Lan in:

  4. Search for Ligang Xu in:

  5. Search for Jiakuan Chen in:

  6. Search for Zhiping Song in:

Contributions

L.L., Z.P.S. and J.K.C. conceived the study. L.L. and Z.C.L. performed the experiments. L.L. conducted the analyses and wrote the first draft, and L.L., S.B., Z.P.S. and L.G.X. contributed to revisions of the manuscript. All authors reviewed the manuscript.

Competing Interests

The authors declare that they have no competing interests.

Corresponding author

Correspondence to Zhiping Song.

About this article

Publication history

Received

Accepted

Published

DOI

https://doi.org/10.1038/s41598-017-16719-1

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.