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Contrasting effects of experiencing temporally heterogeneous light availability versus homogenous shading on plant subsequent responses to light conditions

Abstract

Temporally heterogeneous environments is hypothesized to correlate with greater plasticity of plants, which has rarely been supported by direct evidence. To address this issue, we subjected three species from different ranges of habitats to a first round of alternating full light and heavy shading (temporally heterogeneous light experience), constant moderate shading and full light conditions (temporally homogeneous light experiences, control) and a second round of light-gradient treatments. We measured plant performance in a series of morphological, biomass, physiological and biochemical traits at the end of each round. Compared to constant full light experience, temporally heterogeneous light conditions induced immediate active biochemical responses (in the first round) with improved late growth in biomass (during the second round); constant moderate shading experience increased photosynthetic physiological and biomass performances of plants in early response, and decreased their late growth in biomass. The karst endemic species of Kmeria septentrionalis showed greater improvement in late growth of biomass and lower decrease in biochemical performance, due to early heterogeneous experience, compared to the non-karst species of Lithocarpus glaber and the karst adaptable species of Celtis sinensis. Results suggested plants will prefer to produce morphological and physiological responses that are less reversible and more costly in the face of more reliable environmental cues at early stage in spite of decreased future growth potential, but to produce immediate biochemical responses for higher late growth potential when early environmental cues are less reliable, to avoid the loss of high costs and low profits. Typical karst species should be more able to benefit from early temporally heterogeneous experience, due to long-term adaptation to karst habitats of high environmental heterogeneity and low resource availability.

Background

Plants are able to cope with the environmental heterogeneity at both spatial and temporal scales through phenotypic plasticity, defined as the ability of a genotype to produce different phenotypes in different environmental conditions [1, 2]. Greater plasticity is hypothesized to correlate with high heterogeneity in resource availability [3-6]. Many studies have been focused on plant plasticity in relation to spatial-scale environmental heterogeneity [7-9], much less attention has been paid to the relationship between time-scale environmental heterogeneity and plasticity. However, temporally heterogeneous environments may be more ubiquitous than environmental heterogeneity at spatial scale, plants can experience fluctuations in light, water and nutrient availability at scales of hours, days and months in their lifetime It is reported that Convolvulus chilensis experiencing the greatest temporal variation in nature has shown the greatest plasticity in four traits [10]. There is a correlation between greater interannual variation in precipitation and higher plasticity in Senna candolleana [11]. However, plasticity may not necessarily increase with higher spatial and temporal heterogeneity in nutrient availability [12]. Inconsistent conclusions have revealed the lack of direct evidence for effects of environmental heterogeneity on plant plasticity [13].

Light availability is crucial for plant survival and growth, especially at seedling and juvenile stages and it can be highly heterogeneous at both spatial and temporal scales. For example, in Guiyang in southwest of China, cloudy and rainy days can often last for one or two weeks continuously, before sunny days recur, especially in winter. Generally, fluctuation or temporal heterogeneity in light availability should be more common than spatially heterogeneous light conditions, but little is known about whether and how such fluctuation can affect plant later performance and response. Studies have reported that early experience with either inundation or drought, or alternate inundation and drought, can improve plant late performance in different water conditions [14, 15]. It suggests early experience with alternate full light and shading can also have beneficial effects. However, it is reported that shade-induced response at early stage constrains plant later response to shade [16], suggesting the otherwise. The shading treatment during early temporally heterogeneous light experience may limit the growth potential of plants in later shade, contrary to the hypothesis for correlation between greater plasticity and environmental heterogeneity [3, 4, 17]. It is also possible that low light availability differs from water stress, as the lack or excess of water supply reduces plant growth immediately, while shade can induce rapid and active responses in plants, such as the extra stem elongation [18-20]. Generally, deficiency in resources per se may trigger some mechanisms for improving later performance and survival, at the same time incurring associated costs. Consequently, experience with temporally heterogeneous resource availability may have complex effects on plant later growth, depending on environmental factors and/or species, which we know little about. Here we adopted three species from different habitat ranges and measured a large number of traits in different aspects, to explore this issue and behind mechanisms.

Karst is a highly special geomorphology formed by the natural processes of solution and leaching of soluble rocks, generally carbonate rocks [21]. Karst ecosystems are characterized by great complicacy, highly spatio-temporal heterogeneity in abiotic factors such as light, water, and nutrient availability [22-24]. Species from karst habitats are more likely to experience spatial and temporal heterogeneity in resource availability than those from other habitats, thus may have developed stronger ability to deal with highly heterogeneous environments. Although there are a lot of studies on responses of karst species to abiotic factors such as drought, nutrients, and calcium [25-28], information is extremely scarce for the correlation between plasticity and heterogeneous environments in these species.

To investigate whether and how previous experience with temporal heterogeneity in light availability will alter plant later response to light conditions, we conducted a greenhouse experiment with three species from different habitat ranges, including a karst-endemic species of Kmeria septentrionalis (grows in karst habitats only), a karst-adaptable species of Celtis sinensis (grows in both karst and normal habitats) and a non-karst species of Lithocarpus glaber (grows in normal habitats only). We subjected these plants to an initial round of alternating full light and shading treatments (temporally heterogeneous light conditions), with constant full light and moderate shading (two temporally homogeneous treatments) as control (considered as early experience), before another round of light-gradient treatments to test plant plastic responses (late response), and measured a number of morphological, biomass, physiological and biochemical traits for each individual plant at the end of either round. We asked the following questions: (1) compared to early constant full light or shade experience, does previous exposure to temporal heterogeneity in light availability improve plant subsequent performance or response to shading in different sets of traits? and (2) do such effects differ between different species or between different late conditions?

Materials and methods

Study materials

We used three arbor species of Kmeria septentrionalis (Magnoliaceae), Lithocarpus glaber (Fagaceae) and Celtis sinensis (Ulmaceae), representing karst endemic species, karst adaptable species and non-karst species. They are all heliophytes, and frequently occur in different ranges of natural habitats of Guizhou. K. septentrionalis is an evergreen species that grows to a height of up to 18 m (breast diameter of up to 40 cm), flowering between May and June, with dioecious and unisexual flowers, and fruiting between October and November. It has strong tolerance for drought and low nutrient availability, and only distributes in karst limestone regions of northern Guangxi and southeastern Guizhou in China. C. sinensis is a deciduous species with a height of up to 20 m. It is a dioecious and monoecious species, flowers between April and May, and fruits between September and November. It can adapt to a wide range of soil conditions from slightly acidic or alkaline, neutral to calcareous soil, and is ubiquitous in roadside, hillside and forest edge of both karst and non-karst regions. L. glaber is an evergreen species with a height of up to 15 m (breast diameter of up to 40 cm). It is a monoecious species. It tends to grow in thick and loose soil of high fertility, and generally distributes in non-karst broad-leaved forests to the south of Qinling Mountains of China.

Seeds of K. septentrionalis were collected in autumn of 2018 from Maolan National Natural Reserve in Libo County of Guizhou Province and cultivated to seedlings in local plantations. Seeds of C. sinensis and L. glaber were collected between autumn and winter in 2018, from natural wild populations in southeast of Guiyang of Guizhou Province. They were pretreated with corresponding methods and stored at 5 °C.

Experimental design and treatments

The experiment was conducted in a greenhouse on West Campus of Guizhou University in Guiyang (106° 42’ E, 26° 34’ N; altitude ~ 1020 m). The region has a typical subtropical monsoon climate, with annual average temperature of 15.3 °C, relative humidity of 77%, total precipitation of 1129.5 mm, and insolation duration of 1148.3 h. Seeds were grown in trays in the middle of March, 2019 (12/12 hours of light/dark conditions, temperature of 25 ± 3 °C and humidity of 60% ± 2%). At the stage of three to four leaves, seedlings were transplanted into pots (22 cm in diameter, 20 cm in depth), filled with disinfected and sterilized limestone soil. The initial size (the basal diameter of stem) for each individual plant was measured before light treatments were initiated, when seedlings had grown for about 30 days .

A split-plot experimental design was implemented, with the first round of treatments (early experience) as the main factor, and the second round of treatments (for testing late responses) and species as sub-factors. The early treatments included temporally heterogeneous light conditions (Ehet), temporally homogeneous moderate shading (Ehom−MS) and full light (Ehom−FL); the late treatments included full light (LFL), moderate shading (LMS) and heavy shading (LHS; Fig. 1). Seedlings of three species were randomly distributed within each light treatment. The temporally heterogeneous light treatment was set up by alternating full light and heavy shading treatments for three cycles. Plants were first subjected to full light conditions for 15 days, then transferred to heavy shading for another 15 days, before entering another cycle of treatments. The early treatments lasted for 90 days in total, before a subgroup of individuals for each species in each treatment was sampled to measure plant performance in early experience. All the other plants entered the second round of treatments, including full light (LFL), moderate shading (LMS), and heavy shading (LHS) conditions, which lasted for another 20 days, before all individuals were harvested and measured. Due to the enormous workload (three species and twelve kinds of light treatments in total), and similar sizes of seedlings for the same species, we reduced the amount of samples to nine replicates per species per treatment, to make the experimental system easier to control. Therefore, for each species in each of early treatments (the first round), there were a total of 36 individual plants at the beginning, 9 individuals were sampled for measurements at the end of the first round, the remaining 27 individuals entered one of three late treatments (the second round) and measured at the end of experiment, making a total of 9 replicates × 3 species × 3 experiences + 9 replicates × 3 species × 3 experiences × 3 late conditions = 324 samples. The entire experiment lasted for about five monthst.

Fig. 1
figure 1

Experimental design showing the two rounds of treatments with timing in this study. The 1st round of treatments included early temporally heterogeneous light (Het, alternating full light and heavy shade), homogeneous moderate shading (MS, CK1) and full light (FL, CK2) conditions. The 2nd round of treatments included heavy shading (HS), moderate shading (MS) and full light (FL)

The heavy shading and moderate shading treatments were set up by covering the experimental plot with a black nylon mesh with light transmittance of 35% and 70% respectively, full light treatment was established by covering a transparent sheet over the plot to ensure the levels of other abiotic factors such as wind, temperature approach to the two shading treatments as much as possible. The average values of light intensity for full light, moderate shading and heavy shading treatments were 1010.02 ± 22.05, 675.67 ± 11.17, and 332.33 ± 8.09 µmol·m− 2·s− 1 respectively inside the greenhouse in June, 2019, equivalent to 90%, 60%, and 30% of natural full light, with 1147.33 ± 45.67 µmol·m− 2·s− 1 outside the greenhouse. Pots were rotated and exchanged every three days to avoid the influences of positions. Seedlings were watered and weighed every day to maintain soil moisture at 70–80% of field capacity.

Data collection and analyses

The initial size (basal diameter of stem) was measured for each plant individual before any treatments. After early and late treatments, three individuals per species per treatment were randomly chosen on a sunny morning (from 09:30 to 11:00), to measure photosynthetic physiological traits on one fully expanded adult leaf, with Li-6400 photosynthesis instrument (with air temperature of 20 ± 5 °C, CO2 concentration of 380 ± 5 µmol·m− 1, relative air humidity of 60 ± 5%, and photoactive radiation of 600 µmol·m− 2·s− 1): net photosynthetic rate (Pn), transpiration rate (Tr), stomatal conductance (Cond), and intercellular CO2 concentration (Ci). Then these plants were used to measure biochemical traits on one fully expanded adult leaf, including soluble protein content, soluble sugar content [29], and free proline content [30]; another three individuals per species per treatment were randomly chosen to determine malondialdehyde content [31], catalase activity [32], peroxidase activity [33], and superoxide dismutase activity [32] on one fully expanded adult leaf for each individual.

For morphological and biomass traits, another three individuals per species per treatment were used to measure the following traits after early and late treatments: the length and basal diameter of stem, and leaf area of the largest leaf. Each plant individual was then separated into roots and shoots, dried at 105 °C for 1 h and then dried at 70 °C to constant weight and weighed. Total biomass was the total of shoot biomass and root biomass. Late growth (LG) for all morphological and biomass traits was calculated with the formula [14] as:

$$\mathrm{LG}=\left(Y-X\right)/\;X$$
(1)

where X is the mean trait value at the end of an early treatment, and Y is the mean trait value in a late treatment after the same early treatment. For example, for relative growth in total mass (LGTM) of a species in late moderate shading after early constant full-light experience, X is its mean total biomass at the end of early full light treatment, and Y is its mean total biomass in late moderate shading after early full light experience. The index of composite late growth (LGC) was calculated by averaging the LG of all five traits including stem basal diameter, stem length, maximum leaf area, shoot biomass, and root biomass.

For each of all kinds of traits (photosynthetic physiological, biochemical, morphological and biomass traits), we also calculated Diff-values (Diff-Y, difference in late performance of a trait between temporally heterogeneous and homogeneous light experiences) for each species and each late treatment, to compare effects of early temporally heterogeneous light experience between different species or late conditions [14], with the formula as:

$$\mathrm{Diff}-Y=Y_{het\;}-Y_{hom}$$
(2)

where Yhet is the mean trait value in a late condition after fluctuating light experience, and Yhom is the mean trait value under the same late condition after constant full light or moderate shading experience. Since there were two constant light treatments in control, there were two Diff-values per trait per species in each late treatment.

For all morphological and biomass traits, three-way ANCOVAs were conducted for effects of early treatment, late treatment, species, and their interactions, with the initial size (stem basal diameter) nested in species as a covariate. For late growth of morphological and biomass traits, photosynthetic physiological and biochemical traits, three-way ANOVAs were conducted for effects of early treatment, late treatment, species, and their interactions. Diff-values of all traits were analyzed by two-way ANOVAs for effects of late treatment, species and their interactions. One-way ANCOVA or ANOVA was then used to analyze effects of early treatment, late treatment, or species on all traits within each and across all of the other treatments. Multiple comparisons used the Least Significant Difference (LSD) method (P < 0.05) in General Linear Program (GLM).

Results

Morphological performance and late growth

Effects of species, early treatment and late treatment were significant for most morphological traits and their late growth, interactions between species and early treatment, between species and late treatment and between early treatment and late treatment were significant for late growth in total biomass (LGTM) and mean late growth of all the other traits (or composite late growth, LGC; Table 1 and Tables S1, S2). After early treatments (the 1st round), compared to moderate shading conditions (Ehom−MS), both temporally heterogeneous light (Ehet) and full light (Ehom−FL) conditions reduced mean shoot mass, root mass, and total mass for all species (LSD, P < 0.05), with no differences between effects of Ehom−FL and Ehet (Fig. 2 and Fig. S1). After late treatments (the 2nd round), compared to Ehom−MS, Ehet and Ehom−FL reduced mean shoot mass, root mass, and total mass of all species across all or in each of late light conditions (P < 0.05), with no differences between effects of Ehom−FL and Ehet (Fig. 2 and Fig. S1).

Table 1 F-values from three-way ANCOVA for log-transformed total mass (TM) and ANOVA for late growth of total mass (LGTM), composite late growth (LGC, mean late growth for traits of stem basal diameter, stem length, maximum leaf area, shoot biomass and root biomass), malondialdehyde content (MDA), catalase (CAT), superoxide dismutase (SOD) and peroxidase (POD) activity, showing effects of species (SP), early treatment (ET), and late treatment (LT) and their interactions, with log10 (initial size [IS]) nested in the species effect as a covariate in ANCOVA
Fig. 2
figure 2

Mean total biomass (± SE) of Kmeria septentrionalis (K), Celtis sinensis (C), Lithocarpus glaber (L) after the 1st round of homogeneous moderate shading (Ehom−MS), full light (Ehom−FL), and temporally heterogeneous light (Ehet) treatments (early experience) and for all late conditions after the 2nd round (late response) for plants with different early experiences. Different lowercase letters indicate differences between early treatments (the 1st round; P < 0.05)

Compared to Ehom−MS, Ehet increased the relative growth (LGTM and LGc) by an average of 31.73% (LSD, P < 0.001), and Ehom−FL increased them by average 20.44%, across all species and all late conditions (P < 0.05), with greater improvement by Ehet versus Ehom−FL (P < 0.05; Fig. 3a, b); Ehet and Ehom−FL also enhanced LG of shoot mass, root mass and total mass, and LGC for each species in each late light conditions (P < 0.05; Fig. S2 and Fig. S3).

Fig. 3
figure 3

Mean values (± SE) of late growth in total biomass (LGM) and composite late growth (LGC, mean late growth for traits of stem basal diameter, stem length, maximum leaf area, shoot biomass and root biomass) in late full light (LFL), moderate shading (LMS), and heavy shade (LHS) conditions for Kmeria septentrionalis (K), Celtis sinensis (C), Lithocarpus glaber (L) with early experiences of homogeneous moderate shading (Ehom−MS), full light (Ehom−FL), and temporally heterogeneous light (Ehet) conditions. Different lowercase letters indicate significant differences between late conditions within early experiences, and different uppercase letters indicate significant differences between early experiences within late conditions (P < 0.05)

Photosynthetic physiological and biochemical performances

Effects of early treatment, late treatment, and species were significant for all traits, interaction between early treatment and late treatment was significant for most traits, and interaction between early treatment and species was also significant for most biochemical traits (Table 1 and Table S3). Across or for all species and late conditions, the levels of malondialdehyde content (MDA), and catalase (CAT), superoxide dismutase (SOD) and peroxidase (POD) activity of plants with different early experiences tended to range as: Ehom−MS < Ehom−FL < Ehet, after early treatments (LSD, P < 0.05), whereas tended to range as: Ehom−MS > Ehom−FL > Ehet, after late treatments (Fig. 4 and Figs. S4, S5). After early treatments, for all species, compared to Ehom−MS, Ehet and Ehom−FL reduced photosynthetic rate (Pn), transpiration rate (Tr) and stomatal conductance (Cond) for all species, but enhanced intercellular CO2 concentration (Ci, LSD, P < 0.05), with no differences between Ehom−FL and Ehet (Fig. S6). After late treatments, compared to Ehom−MS, Ehom−FL and Ehet was more likely to enhance Pn, Tr and Cond of plants (P < 0.05), but Ehet was more likely to reduced Ci of plants (P < 0.05), especially in late full light and heavy shading conditions (Fig. S6).

Fig. 4
figure 4

Mean values (± SE) of malondialdehyde content (MDA), catalase (CAT), superoxide dismutase (SOD) and peroxidase (POD) activity of Kmeria septentrionalis (K), Celtis sinensis (C), Lithocarpus glaber (L) after the 1st round of homogeneous moderate shading (Ehom−MS), full light (Ehom−FL), and temporally heterogeneous light (Ehet) treatments (early experience) and for all late conditions after the 2nd round (late response) for plants with different early experiences. Different lowercase letters indicate differences between early treatments (the 1st round; P < 0.05)

Diff-value in traits

Effects of species and late conditions were significant on Diff-values (difference in mean trait values due to early experience) for most traits, and effects of interaction between species and late treatments was also significant for relative growth of total mass (Diff-LGTM) and superoxide dismutase activity (Diff-SOD; Table 2). Across all late conditions, Diff-TM, Diff- MDA, Diff- CAT, Diff- SOD, and Diff- POD were either negative or insignificant, but Diff-LGTM were mostly positive (Fig. 5). Comparing diff-values among species across all late conditions, K. septentrionalis had higher positive Diff-LGTM due to Ehet vs. Ehom−MS than other species (P < 0.05), and L. glaber had lower Diff-LGTM due to Ehet vs. Ehom−FL than other species (P < 0.05; Fig. 5b), and lower Diff-CAT, Diff-MDA and Diff-POD due to Ehet vs. Ehom−FL than the other two species (P < 0.05; Fig. 5c, d, f), and C. sinensis had higher Diff-SOD due to Ehet vs. Ehom−MS or Ehet vs. Ehom−FL than the other two species (P < 0.05; Fig. 5e).

Table 2  F-values from two-way ANOVA for effects of late treatment (LT), and species (SP) and their interactions on the Diff-values (difference in mean trait values due to effects of early temporally heterogeneous light (Ehet) vs. control (Ehom−MS or Ehom−FL) experience for total mass (Diff-TM), late growth of total mass (Diff-LGTM), malondialdehyde content (Diff-MDA), catalase (Diff-CAT), superoxide dismutase (Diff-SOD) and peroxidase (Diff-POD) activity
Fig. 5
figure 5

Mean difference values (± SE) due to the effect of early heterogeneous light relative to homogeneous moderate shading (Ehom−MS) or full light (Ehom−FL) experience in total biomass (Diff-TM), late growth of total biomass (Diff-LGTM), malondialdehyde content (Diff-MDA), catalase (Diff-CAT), superoxide dismutase (Diff-SOD) and peroxidase (Diff-POD) activity for Kmeria septentrionalis (K), Celtis sinensis (C), Lithocarpus glaber (L) across all late treatments. Different lowercase letters indicate differences between species (P < 0.05)

Discussion

Effects of early experience with temporally heterogeneous light availability

Temporally heterogeneous environments can lead to an increase of plasticity [3-6], which has rarely been supported by direct evidence. This study provided such evidence that temporally heterogeneous light experience induced variations in a great number of different traits [10, 34]. Compared to constant full light experience, early exposure to temporally heterogeneous light conditions increased the activity of a series of enzymes and did not affect most of other traits immediately, and improved late growth in morphological and biomass traits with decrease or no changes in most of the other traits finally. It suggested temporally heterogeneous light experience can improve plant performance via different mechanisms at different stages. Early exposure to stressful conditions can improve later tolerance for stress [35-37], which is also called priming effects [38]. It is reported that alternate inundation and drought experience has been harmful for plants immediately, but can improve their late growth in biomass later [13]. Our results demonstrated that early experience with such fluctuating conditions may not be simply harmful immediately, but it can induce active biochemical responses (increase in performance), to support later morphological and biomass responses. Therefore, temporal heterogeneous experience can also be beneficial immediately in terms of biochemical performance. Plants may not only have the intelligence to adjust their subsequent performance according to previous environmental experiences, but also are able to make decisions and adjustments very rapidly at the time of exposure to an environmental condition.

Moreover, it is also noteworthy that different kinds of traits did not respond to temporally heterogeneous light treatment synchronously, and biochemical adjustments occurred ahead of morphological and biomass responses. Early heterogeneous experience can induce compensatory growth in plants [39-41], which may have been achieved via early responses at biochemical level. Plants experiencing fluctuating light conditions should have received unstable or unreliable environmental cues, which made them less able to predict the future situations accordingly. Meanwhile, plastic responses of morphological and biomass traits are more irreversible and associated with higher production and maintaining costs than other kinds of traits [42, 43]. If they produce plastic responses in these traits when environmental signals are unreliable, plants may face higher risks of improper responses due to failing predictions, leading to the loss of both early costs and no later profits. However, biochemical responses may cause lower costs, or be connected to more flexible strategies of reaction, thus more profitable in this situation. Improved biochemical performance may be helpful for producing morphological and biomass responses subsequently, irrespective of the light conditions plants will expose to. Therefore biochemical plasticity may bring about higher profits than costs, and plants are more likely to rely on plastic responses of biochemical traits than morphological responses in dealing with short-term or unpredictable stressful events [44, 45]. Consequently, plastic responses at biochemical level can be more beneficial for plants in highly spatial or temporal heterogeneous environments than morphological responses.

Effects of early moderate shading experience

Our results showed that compared to those with constant full light experience, plants experiencing with constant moderate shading conditions showed higher performance in photosynthetic physiological and biomass traits and lower biochemical performance, immediately after experience; but they had decreased performance in photosynthetic physiological traits and late growth in biomass in the end. It suggests effects of homogeneous shading experience contrast with that of heterogeneous light experience: it induced active responses of morphological and photosynthetic physiological traits in the first place, which resulted in costs of lower growth potential later although, leading to stable performance in final. This should be because in reaction to the relatively stable or reliable signals from constant shading experience, plants will be more likely to produce relatively irreversible morphological responses, in spite of its higher costs. It appears that when future environmental conditions are relatively predictable according to current signals, they will prefer to make adjustments in morphological and biomass aspects as early as possible, which is at the cost of future growth potential though. Since morphological and biomass performance are more crucial for plant size than other traits, plants with enhanced performance in these traits should more likely grow into large individuals and survive than otherwise [46]. Morphological and biomass responses thus should be more direct and cost-saving than other kinds of responses. However, in face of unstable or unpredictable stress or environmental challenges, plants may take greater risks of high costs and low profits if they produce responses of morphological and biomass traits [43], which may not match with the future environments [18]. Not matching signifies that plants have failed in making correct or accurate prediction, decision and reaction initially, the loss of which will be unable to afford to them.

Meanwhile, active responses of photosynthetic physiological traits should have supported morphological and biomass responses. Sometimes, physiological plasticity may even contribute more to the ability of invasion of species than morphological plasticity [47]. This might be because that the costs of physiological plasticity are lower than that of morphological plasticity, although this may simply be because physiological changes are often invisible, while morphological plasticity involves production of new parts [47, 48]. Nevertheless, the production of both photosynthetic physiological and morphological responses at early stage must have caused substantial costs, which should have directly led to reduced late growth potential of biomass. This phenomenon has been considered as a “life-history limit” to plasticity [13, 43, 49]. On the other hand, decreased late growth in biomass also reflected the costs due to production of plastic responses at early stage [13]. Costs of plasticity are often difficult to detect [50]. It may be because of the lack of the perspective of meta-plasticity or variable plasticity over different stages of plant growth. By virtue of such perspective, we may be able to better detect and understand the costs and benefits of plasticity, as well as the intelligence of plants [13].

In spite of significant costs, plants with early constant shading experience can also succeed through rapid early morphological and biomass responses, compared with those with constant full-light experience. It suggests plants are able to use diverse strategies to deal with various environmental changes, all of which can lead to the final success in survival and persistence.

Species from different ranges of habitats

Studies have found that species from karst habitats can better adapt to higher heterogeneous environments than other species, due to greater plasticity in traits [51, 52]. However, few studies have provided direct evidence by comparing karst species with species from other habitat ranges. In this study, we showed species from different habitat ranges can all benefit from effects of temporally heterogeneous light experience, and beneficial effects differ in extent for different species: it was more beneficial for karst species of Kmeria septentrionalis than for the other two species, the least beneficial for non-karst species of Lithocarpus glaber, especially in late heavy shading conditions. The ability of species to utilize early experience can be associated with their habitat ranges. The environments of karst ecosystems are highly heterogeneous both spatially and temporally, indicating variations in various abiotic factors, such as soil moisture, nutrients, and light conditions [24, 53]. Plant species with a long-term history of acclimation to karst habitats may have developed stronger capacity to deal with such environmental heterogeneity, thus can better adapt to or benefit from fluctuating light experience. In contrast, species from non-karst habitats may have lower chance to encounter highly heterogeneous environments, thus lack the ability to cope with fluctuating experience.

Conclusions

Our results demonstrated that plants are able to adopt appropriate strategies to deal with either fluctuating light or constant shading experience, and can benefit from such experience in different ways, both leading to their success in final performance. Effects of temporally heterogeneous vs. homogeneous light conditions are contrasting: the former induced higher level of biochemical traits immediately and improved late growth in biomass traits, while the latter decreased biochemical traits, improved physiological and morphological traits immediately with lower late growth potential. Morphological and biomass adjustments should be the most direct and cost-saving than the other kinds of responses for improving plant size and survival, but also are less reversible and associated with higher costs than other kinds of traits. When future environments are more predictable, plants will prefer to make these adjustments as early as possible, although at the cost of decreased future growth potential. In face of unpredictable environments, plants may avoid taking greater risks of high costs and no profits by producing these responses and final failure, and prefer to produce biochemical responses as early as possible, which should be beneficial in face of whatever future environments.

Typical karst species may be more able to benefit from temporally heterogeneous experience, compared to generalists and non-karst species. Since only three species from different ranges of habitats have been used for comparison, conclusions might be limited in applying to a wide range of karst or non-karst species. Analogous studies using a greater amount of karst species in comparison with non-karst species may provide further evidence for our hypothesis. Research on effects of temporally heterogeneous experience on plant later responses should have shed light on the capacity of plants to modulate performance and response in their lifetime, or variable plasticity or meta-plasticity. Such ability of adjusting responses should be of greater significance than short-term plastic responses for plant adaptation. In the perspective of meta-plasticity over different stages of plant growth, we can better detect and understand the costs and benefits of plasticity, as well as the intelligence of plants.

Availability of data and materials

The datasets supporting the conclusions of this article are included within the article and its additional files.

Abbreviations

ET:

Early treatment

Ehet :

Early temporally heterogeneous light

Ehom-MS :

Early temporally homogeneous moderate shading

Ehom-FL :

Early temporally homogeneous full light

LT:

Late treatment

LFL :

Late full light

LMS :

Late moderate shading

LHS :

Late heavy shading

TM:

Total mass

MDA:

Malondialdehyde content

CAT:

Catalase activity

SOD:

Superoxide dismutase activity

POD:

Peroxidase activity

Pn:

Photosynthetic rate

Tr:

Transpiration rate

Cond:

Stomatal conductance

Ci:

Intercellular CO2 concentration

LG:

Late growth

LGTM :

Late growth in total biomass

LGC :

Composite late growth

Diff-TM:

Difference in total mass

Diff-LGTM :

Difference in late growth of total mass

Diff-MDA:

Difference in late performance of malondialdehyde content

Diff-CAT:

Difference in late performance of catalase activity

Diff-SOD:

Difference in late performance of superoxide dismutase activity

Diff-POD:

Difference in late performance of peroxidase activity

SP:

Species

K:

Kmeria septentrionalis

C:

Celtis sinensis

L:

Lithocarpus glaber

References

  1. Bradshaw AD. Evolutionary significance of phenotypic plasticity in plants. Adv Genet. 1965;13:115–55.

    Article  Google Scholar 

  2. Valladares F, Gianoli E, Gómez JM. Ecological limits to plant phenotypic plasticity. New Phytol. 2007;176:749–63.

    Article  PubMed  Google Scholar 

  3. Alpert P, Simms EL. The relative advantages of plasticity and fixity in different environments: when is it good for a plant to adjust? Evol Ecol. 2002;16:285–97.

    Article  Google Scholar 

  4. Baythavong BS. Linking the spatial scale of environmental variation and the evolution of phenotypic plasticity: selection favors adaptive plasticity in fine-grained environments. Am Nat. 2011;178:75–87.

    Article  PubMed  Google Scholar 

  5. Hyldgaard B, Brix H. Intraspecies differences in phenotypic plasticity: invasive versus non-invasive populations of Ceratophyllum demersum. Aquat Bot. 2012;97:49–56.

    Article  Google Scholar 

  6. Edelaar P, Jovani R, Gomez-Mestre I. Should I change or should I go? Phenotypic plasticity and matching habitat choice in the adaptation to environmental heterogeneity. Am Nat. 2017;190:506–20.

    Article  PubMed  Google Scholar 

  7. Qian YQ, Luo D, Gong G, Han L, Ju GS, Sun ZY. Effects of spatial scale of soil heterogeneity on the growth of a clonal plant producing both spreading and clumping ramets. J Plant Growth Regul. 2014;33:214–21.

    Article  CAS  Google Scholar 

  8. Nascimento KC, Pastorini LH, Romagnolo MB, de Souza LA. Do Eugenia hiemalis seedling leaves under different light conditions develop phenotypic plasticity? Plant Ecol. 2015;216:1571–81.

    Article  Google Scholar 

  9. Zhang M, Ma K, Liu T, Tang LL, Khan AA, Yang T, et al. Responses in phenotypic plasticity of Amaranthus palmeri and Polygonum orientale to soil factors under different habitats. Clean Soil Air Water. 2020;48:1900203.

    Article  CAS  Google Scholar 

  10. Gianoli E, González-Teuber M. Environmental heterogeneity and population differentiation in plasticity to drought in Convolvulus chilensis (Convolvulaceae). Evol Ecol. 2005;19:603–13.

    Article  Google Scholar 

  11. Lázaro-Nogal A, Matesanz S, Godoy A, Pérez-Trautman F, Gianoli E, Valladares F. Environmental heterogeneity leads to higher plasticity in dry-edge populations of a semi-arid chilean shrub: insights into climate change responses. J Ecol. 2015;103:338–50.

    Article  Google Scholar 

  12. Mou P, Jones RH, Tan Z, Bao Z, Chen H. Morphological and physiological plasticity of plant roots when nutrients are both spatially and temporally heterogeneous. Plant Soil. 2013;364:373–84.

    Article  CAS  Google Scholar 

  13. Wang S, Callaway RM. What does not kill you can make you stronger: variation in plasticity in response to early temporally heterogeneous hydrological experience. J Ecol. 2022;110:2418–32.

    Article  Google Scholar 

  14. Wang S, Callaway RM, Zhou DW, Weiner J. Experience of inundation or drought alters the responses of plants to subsequent water conditions. J Ecol. 2017;105:176–87.

    Article  Google Scholar 

  15. Wang D. Early temporally heterogeneous light and water experience and plant plasticity. Guiyang: Guizhou University; 2021.

  16. Weinig C, Delph LF. Phenotypic plasticity early in life constrains developmental responses later. Evolution. 2001;55:930–6.

    Article  CAS  PubMed  Google Scholar 

  17. Molina-Montenegro MA, Atala C, Gianoli E. Phenotypic plasticity and performance of Taraxacum officinale (dandelion) in habitats of contrasting environmental heterogeneity. Biol Invasions. 2010;12:2277–84.

    Article  Google Scholar 

  18. Valladares F, Niinemets U. Shade tolerance, a key plant feature of complex nature and consequences. Annu Rev Ecol Evol S. 2008;39:237–57.

    Article  Google Scholar 

  19. Hutchings MJ, Kroon HD. Foraging in plants: the role of morphological plasticity in resource acquisition. Adv Ecol Res. 1994;25:159–238.

    Article  Google Scholar 

  20. Chen J, Li J, Zhang YZ, Hao Z, Lei NF. Clonal integration ameliorates the carbon accumulation capacity of a stoloniferous herb, Glechoma longituba, growing in heterogenous light conditions by facilitating nitrogen assimilation in the rhizosphere. Ann Bot London. 2015;115:127–36.

    Article  CAS  Google Scholar 

  21. Geekiyanage N, Goodale U, Cao K, Kitajima K. Plant ecology of tropical and subtropical karst ecosystems. Biotropica. 2019;51:626–40.

    Article  Google Scholar 

  22. Schindler J. Karst of China. Groundwater. 1982;20:226–30.

    Article  Google Scholar 

  23. White WB. Karst hydrology: recent developments and open questions. Eng Geol. 2002;65:85–105.

    Article  Google Scholar 

  24. Bonacci O, Pipan T, Culver D. A framework for karst ecohydrology. Environ Geol. 2008;56:891–900.

    Article  Google Scholar 

  25. Querejeta JI, Estrada-Medina H, Allen MF, Jiménez-Osornio JJ. Water source partitioning among trees growing on shallow karst soils in a seasonally dry tropical climate. Oecologia. 2007;152:26–36.

    Article  PubMed  Google Scholar 

  26. Jin W, Long Y, Fu C, Zhang L, Xiang J, Wang B, et al. Ca2+ imaging and gene expression profiling of Lonicera Confusa in response to calcium-rich environment. Sci Rep. 2018;8:10.

    Google Scholar 

  27. Umair M, Sun N, Du H, Yuan J, Abbasi A, Wen J, et al. Differential metabolic responses of shrubs and grasses to water additions in arid karst region, southwestern China. Sci Rep. 2019;9:9613.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Vodnik D, Gričar J, Lavrič M, Ferlan M, Hafner P, Eler K. Anatomical and physiological adjustments of pubescent oak (Quercus pubescens Willd.) From two adjacent sub-mediterranean ecosites. Environ Exp Bot. 2019;165:208–18.

    Article  Google Scholar 

  29. Li HS. Principles and techniques of plant physiological and biochemical experiments. Beijing, China: Higher Education Press; 2000.

    Google Scholar 

  30. Zou Q. Experimental Guidance of Plant Physiology. Beijing, China: China Agriculture Press; 2000.

    Google Scholar 

  31. Sofo A, Dichio B, Xiloyannis C, Masia A. Effects of different irradiance levels on some antioxidant enzymes and on malondialdehyde content during rewatering in Olea europaea. Plant Sci. 2014;166:293–302.

    Article  Google Scholar 

  32. Gao J, Cai Y. Experimental guidance of plant physiology. Beijing: China Agriculture University; 2018.

    Google Scholar 

  33. Cai Y. Guidance of plant physiology experiments. Beijing: China Agriculture University; 2014.

    Google Scholar 

  34. Guo QQ, Li HE, Gao C, Yang R. Leaf traits and photosynthetic characteristics of endangered Sinopodophyllum hexandrum (Royle) Ying under different light regimesin Southeastern Tibet Plateau. Photosynthetica. 2019;57:548–55.

    Article  CAS  Google Scholar 

  35. Thellier M, Lüttge U. Plant memory: a tentative model. Plant Biol. 2012;15:1–12.

    Article  PubMed  Google Scholar 

  36. Avramova Z. Transcriptional ‘memory’ of a stress: transient chro-matin and memory (epigenetic) marks at stress-response genes. Plant J. 2015;83:149–59.

    Article  CAS  PubMed  Google Scholar 

  37. Hilker M, Schmülling T. Stress priming, memory, and signalling in plants. Plant Cell Environ. 2019;42:753–61.

    Article  CAS  PubMed  Google Scholar 

  38. Tanou G, Fotopoulos V, Molassiotis A. Priming against environmental challenges and proteomics in plants: update and agricultural perspectives. Front Plant Sci. 2012;3:216.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Huhta AP, Hellström K, Rautio P, Tuomi J. Grazing tolerance of Gentianella amarella and other monocarpic herbs: why is tolerance highest at low damage levels? Plant Ecol. 2003;166:49–61.

    Article  Google Scholar 

  40. Heil M, Karban R. Explaining evolution of plant communication by airborne signals. Trends Ecol Evol. 2010;25:137–44.

    Article  PubMed  Google Scholar 

  41. Huot B, Yoa J, Montgomery BL, He SY. Growth–defense tradeoffs in plants: a balancing act to optimize fitness. Mol Plant. 2014;7:1267–87.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Dewitt TJ, Sih A, Wilson DS. Costs and limits of phenotypic plasticity. Trends Ecol Evol. 1988;13:77–81.

    Article  Google Scholar 

  43. van Kleunen M, Fischer M. Constrains on the evolution of adaptive phenotypic plasticity in plants. New Phytol. 2005;166:49–60.

    Article  PubMed  Google Scholar 

  44. Zunzunegui M, Ain-Lhout F, Díaz Barradas MC, Alvarez-Cansino L, Esquivias MP, García Novo F. Physiological, morphological and allocation plasticity of a semi-deciduous shrub. Acta Oecol. 2009;35:370–9.

    Article  Google Scholar 

  45. Puglielli G, Varone L, Gratani L, Catoni R. Specific leaf area variations drive acclimation of Cistus salvifolius in different light environments. Photosynthetica. 2017;55:31–40.

    Article  CAS  Google Scholar 

  46. Weiner J. Allocation plasticity and allometry in plants. Perspect Plant Ecol. 2004;6:207–15.

  47. Hou YP, Peng SL, Lin ZG, Huang QQ, Ni GY, Zhao N. Fast-growing and poorly shade-tolerant invasive species may exhibit higher physiological but not morphological plasticity compared with non-invasive species. Biol Invasions. 2015;17:1555–67.

    Article  Google Scholar 

  48. Grime JP, Mackey JML. The role of plasticity in resource capture by plants. Evol Ecol. 2002;16:299–307.

    Article  Google Scholar 

  49. Weinig C. Differing selection in alternative competitive environments: shade avoidance responses and germination timing. Evolution. 2000;54:124–36.

    CAS  PubMed  Google Scholar 

  50. Weijschedé J, Martínková J, de Kroon H, Huber H. Shade avoidance in Trifolium repens: costs and benefits of plasticity in petiole length and leaf size. New Phytol. 2006;172:655–66.

    Article  PubMed  Google Scholar 

  51. Wang D, Huang XL, Chen JZ, Li LX, Cheng J, Wang S, et al. Plasticity of leaf traits of Juglans regia L. f. luodianense Liu et Xu seedlings under different light conditions in karst habitats. Forests. 2021;12:81.

    Article  Google Scholar 

  52. Liang K, Fan Y, Bu WS, Wang LF, Shi JM. Phenotypic plasticity of a dominant bamboo species (Phyllostachys glauca) in limestone mountain in northwest of Jiangxi province. Acta Agriculturae Universitatis Jiangxiensis. 2017;39:1178–86.

    Google Scholar 

  53. Liu C, Huang Y, Wu F, Liu W, Ning Y, Huang Z, et al. Plant adaptability in karst regions. J Plant Res. 2021;134:1–18.

    Article  Google Scholar 

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Acknowledgements

We are grateful for the reviewers and editors who all provided useful feedback on this manuscript. The authors would like to thank Forest Resources and Environment Research Center in Guizhou Province for technical support.

Funding

This research was provided by the National Natural Science Foundation of China (NSFC, 31800335), National Natural Science Foundation of China (NSFC, 32171511), Key Project of Hunan Provincial Department of Education ([2021]352-21A0473) and Guizhou Province Science and Technology Planning Program (2019 − 1089).

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SW and DW conceived and designed the study. DW, LXL, YSW, KNLN, and JXC participated and performed in the experiment. DW and SW analyzed the data. DW wrote the manuscript, and SW edited. All authors have read and approved the final manuscript.

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Correspondence to Shu Wang.

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Supplementary Information

Additional file 1: Fig. S1.

Mean values (±SE) of stem basal diameter (SD), stem length (SL), maximum leaf area (LAm), shoot biomass (SM) and root biomass (RM) of Kmeria septentrionalis (K), Celtis sinensis (C), Lithocarpus glaber (L) in homogeneous moderate shading (Ehom-MS), full light (Ehom-FL) and temporally heterogeneous light conditions (Ehet) (early experience), and in late full light (LFL), moderate shading (LMS), heavy shading (LHS) after different early experiences (late response). Different lowercase letters indicate differences between early treatments for each species in early response and between late treatments within the same early experiences in late response, different uppercase letters indicate differences between early experiences for each species within the same late treatments in late response (P < 0.05). Fig. S2. Mean values (±SE) of late growth (LG) of stem basal diameter (LGSD), stem length (LGSL), maximum leaf area (LGLAm), shoot biomass (LGSM) and root biomass (LGRM) in late full light (LFL), moderate shading (LMS), heavy shading (LHS) treatments for Kmeria septentrionalis (K), Celtis sinensis (C), Lithocarpus glaber (L) with early experiences of homogeneous moderate shading (Ehom-MS), full light (Ehom-FL) and temporally heterogeneous light (Ehet) conditions. Different lowercase letters indicate differences between late treatments for each species within the same early experiences, different uppercase letters indicate differences between early experiences for each species within the same late treatments (P < 0.05). Fig. S3. Composite late growth (LGC) or mean late growth for stem basal diameter (SD), stem length (SL), maximum leaf area (LAm), shoot biomass (SM) and root biomass (RM) in late full light (LFL), moderate shading (LMS) and heavy shading (LHS) for Kmeria septentrionalis (K), Celtis sinensis (C), Lithocarpus glaber (L) with early experiences of homogeneous moderate shading (Ehom-MS), full light (Ehom-FL) and temporally heterogeneous light (Ehet) conditions. Different letters indicate differences between early experiences for each species within the same late treatments (P < 0.05). Fig. S4. Mean contents (±SE) of soluble protein (SP), soluble sugar (SS), free proline (Pro) for Kmeria septentrionalis (K), Celtis sinensis (C), Lithocarpus glaber (L) in homogeneous moderate shading (Ehom-MS), full light (Ehom-FL) and temporally heterogeneous light conditions (Ehet) (early experience, in the first round of treatments), and in late full light (LFL), moderate shading (LMS), heavy shading (LHS) after different early experiences (late response, in the second round of treatments). Different lowercase letters indicate differences between early treatments for each species in early response and between late treatments within the same early experiences in late response, different uppercase letters indicate differences between early experiences for each species within the same late treatments in late response (P < 0.05). Fig. S5. Mean values (±SE) of malondialdehyde content (MDA), catalase (CAT), superoxide dismutase (SOD) and peroxidase (POD) activity of Kmeria septentrionalis (K), Celtis sinensis (C), Lithocarpus glaber (L) in homogeneous moderate shading (Ehom-MS), full light (Ehom-FL) and temporally heterogeneous light conditions (Ehet) (early experience), and in late full light (LFL), moderate shading (LMS), heavy shading (LHS) after different early experiences (late response). Different lowercase letters indicate differences between early treatments for each species in early response and between late treatments within the same early experiences in late response, different uppercase letters indicate differences between early experiences for each species within the same late treatments in late response (P < 0.05). Fig. S6. Mean values (±SE) of net photosynthesis rate (Pn), transpiration rate (Tr), stomatal conductance (Cond), and intercellular CO2 concentration (Ci) of Kmeria septentrionalis (K), Celtis sinensis (C), Lithocarpus glaber (L) in homogeneous moderate shading (Ehom-MS), full light (Ehom-FL) and temporally heterogeneous light conditions (Ehet) (early experience), and in late full light (LFL), moderate shading (LMS), heavy shading (LHS) after different early experiences (late response). Different lowercase letters indicate differences between early treatments for each species in early response and between late treatments within the same early experiences in late response, different uppercase letters indicate differences between early experiences for each species within the same late treatments in late response (P < 0.05). Table S1. F-values from three-way ANCOVA for effects of species (SP), early treatment (ET), and late treatment (LT) and their interactions on log-transformed stem basal diameter (SD), stem length (SL), maximum leaf area (LAm), shoot biomass (SM) and root mass (RM), for plants with two rounds of treatments, with log10(Initial size [IS]) nested in the species as a covariate. Significance levels:* P < 0.05, ** P < 0.01, *** P < 0.001. Table S2. F-values from three-way ANOVA for the effects of species (SP), early treatment (ET), and late treatment (LT) and their interactions on late growth in stem basal diameter (LGSD), stem length (LGSL), maximum leaf area (LGLAm), shoot biomass (LGSM) and root biomass (LGRM), for plants with two rounds of treatments. Table S3. F-values from three-way ANOVA for the effects of species (SP), early treatment (ET), and late treatment (LT) and their interactions on photosynthesis rate (Pn), transpiration rate (Tr), stomatal conductance (Cond), intercellular CO2 concentration (Ci), soluble protein (SP), soluble sugar (SS), and free proline (Pro) content, for plants with two rounds of treatments

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Wang, D., Wang, S., Li, LX. et al. Contrasting effects of experiencing temporally heterogeneous light availability versus homogenous shading on plant subsequent responses to light conditions. BMC Plant Biol 23, 232 (2023). https://doi.org/10.1186/s12870-023-04229-4

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