The construction of the Three Gorges–Gezhouba Dam cascade hydropower station has changed the water level fluctuation pattern of the habitats for remnant rare and endangered Myricaria laxiflora populations downstream of the dam. The present study utilized biochemical markers of photosynthetic physiology to evaluate the spatiotemporal responses of remnant populations to human-regulated water level fluctuations. The results showed that the photosynthetic physiological activities of remnant M. laxiflora populations underwent a period of rapid growth, followed by a gradual decline in the growth recovery phase after flooding. During the entire experimental period, photosynthetic physiological activities of remnant M. laxiflora populations changed with prolongation of emergence time: specifically, net photosynthetic rate and stomatal conductance initially decreased and then subsequently increased, intercellular carbon dioxide concentrations peaked at mid-phase and transpiration rate continuously increased. The maximum net photosynthetic rate, apparent photosynthetic quantum efficiency and dark respiration rate in the light–response curves of the plants continuously increased during growth. The water level gradient also significantly affected the photosynthetic physiological activities in the remnant populations, i.e. the photosynthetic physiological activities of high-altitude plants were significantly higher than the middle- and low-altitude plants. The changes in photosynthetic pigment content of plants in remnant populations during the growth recovery phase and the entire growth period were similar to those occurring in photosynthetic activities in plants. Further, canonical correspondence analysis showed that photosynthetic physiological activities in the plants were significantly correlated with changes in water levels, emergence time, elevation gradient, soil water and soil nitrogen contents. Therefore, the artificial regulation of water level fluctuations by large hydropower stations will inevitably affect the photosynthetic activities and growth of remnant M. laxiflora populations.
Water level fluctuations at riparian zones with different altitudes cause significant spatial heterogeneity in emergence time, emergence duration and soil water content (Glenz et al., 2006). Environmental changes caused by water level fluctuations are key factors affecting the photosynthetic physiology of riparian plants (Shen and Chen, 2015). Changes in the photosynthesis of plants occur with water level fluctuations (Kozlowski 1997; Smaoui et al., 2011). When water level rises and flooding occurs, photosynthetic activities of plants decrease significantly (Kristen and Brian, 2013). As the water level declines, the photosynthetic activities recover rapidly (Chen et al., 2005). However, when the water level retreats for a long period of time, plants are stressed by drought as groundwater remained at low levels. During such periods, the photosynthetic activities of plants are also inhibited (Wang et al., 2017).
Over time, riparian plants have adapted to river water level fluctuations in terms of morphology, life history, physiology and biochemistry (Blom et al., 1990; Li et al., 2015). Normal water level fluctuations generally cause fluctuations in the photosynthetic physiology of plants, but will not seriously impact the photosynthetic physiological activities during the entire growth period (Chen and Xie, 2008; Luo et al., 2011). Some plant species require certain water level fluctuations to promote photosynthesis (Hussner and Meyer, 2009; Bovee and Scott, 2010; Zhang et al., 2016). However, when changes in river water level configurations occur, the photosynthetic physiology of riparian plants is severely affected (Li et al., 2013; Vivian et al., 2014). Large water conservancy and hydropower projects have been completed for flood scarcity prevention and electricity generation; however, these efforts have also significantly changed downstream water level fluctuation patterns (Poff et al., 2007; Duan et al., 2016), which in turn affect the photosynthetic physiology of downstream riparian plants (Kitamura et al., 2009; Chen et al., 2010).
Myricaria laxiflora is a perennial shrub belonging to the family Tamaricaceae. M. laxiflora is mainly distributed in the riparian zone between Yichang at the Yangtze River and Yibin in the Jinsha River. The Three Gorges Reservoir Region is the core distribution region of this plant (Wang et al., 2003; Chen et al., 2005). The construction of the Three Gorges project has drastically raised the water level in the reservoir, flooding all habitats in the region, causing M. laxiflora to become an endangered species (Chen and Xie, 2009b). The Three Gorges project also changed the pattern of water level fluctuations in the riparian region from summer floods–winter emergence to summer emergence–winter floods, transforming the riverbank into an unsuitable habitat for this species (Chen et al., 2005; New and Xie, 2008). Conservation of the remnant populations of this species has become an inevitable option for conserving this endangered species. However, remnant M. laxiflora populations are located at the downstream regions of large cascade hydropower stations such as the Three Gorges–Gezhouba Dam and Xiluodu–Xiangjia Dam. The necessary regulation of the river by these large power plants for flood prevention and power generation has changed the water level fluctuation pattern in this habitat: (i) delayed the emergence period of the habitat and recovery growth phase and shortened the entire growth period and (ii) accelerated the retreat rate of water levels, reduced the water level during the dry season and decreased soil water content (Sun et al., 2012; Duan et al., 2016). Field surveys showed that population reproduction and seedling growth and regeneration of this species are dwindling and changes in water level fluctuation patterns are considered to be the key factors leading to these changes (Bao et al.. 2010; Chen and Wang, 2015; Chen et al., 2019).
We hypothesized that human-regulated water level fluctuations and resulting changes in soil and aquatic environments also significantly affect the photosynthetic physiology of remnant M. laxiflora populations as M. laxiflora plants have adapted to previous water level fluctuations to a certain degree. The photosynthetic parameters such as photosynthetic rate, stomatal conductance and the content of photosynthetic pigments of plants significantly change. To test our hypothesis, we established quadrats along the water level fluctuation gradient at the habitats of remnant populations from various elevations at different time points and measured biochemical changes related to their photosynthetic physiology. The aims of this study were to (i) measure the biochemical characteristics of photosynthetic physiology in M. laxiflora populations at different time points of the recovery stage and other growth stages and to analyze temporal changes in the patterns of photosynthetic parameters such as photosynthetic rate, stomatal conductance and photosynthetic pigment contents of plants with recovery growth and growth period; (2) measure the biochemical characteristics of photosynthetic physiology of M. laxiflora plants at different elevations and analyze spatial changes in photosynthetic parameters and photosynthetic pigment contents of plants with elevation gradient; and (iii) comprehensively analyze the effects of environmental changes in river water levels, exposure time, soil moisture and soil nutrients caused by water level fluctuations in habitat on the photosynthetic parameters and photosynthetic pigments contents of plants. This was combined with the spatiotemporal variations in artificial water level fluctuations in the habitats of remnant populations to analyze its effects on the photosynthetic physiology of plants.
The study site was located at the Yanzhiba island located at Yichang at the lower reaches of the Three Gorges Dam in the main stream of Yangtze River (111°19′26″E, 30°38′57″N). The largest remnant M. laxiflora population is currently located at this habitat (Chen and Wang, 2015). The climate of this site is central Asian tropical monsoon, with an annual mean temperature of 16.9°C, maximum temperature of 41.4°C, minimum temperature of −9°C and annual mean rainfall of 1164.1 mm. The soil type of the site is sandy soil. The plant community at the site is M. laxiflora + Salix variegata community. In addition to the structural species, other plant species such as Phragmites australis and Capillipedium assimile are also present.
The habitat was divided into three zones including high elevational zone (≥45.1 m), middle elevational zone (45.1–42.8 m) and low elevational zone (≤42.8 m). Five 5 m × 5 m quadrats were set up at each elevational zone at 10-m intervals. Each 5 m × 5 m quadrat was used as a replicate. These quadrats were used for measurement of photosynthetic physiology in M. laxiflora plants and investigating changes in soil water content in the study site of the remnant M. laxiflora population.
The river water level report at the Yichang section in the Yangtze River Hydrology Network (www.cjh.com.cn) was used as a basis for water level changes at the study site. In addition, on-site surveys were conducted once every 3 days during the fluctuation to validate the emergence and flooding situation of the various transect lines. The emergence time of the high, middle and low elevation transect lines was November 4, 10 and 13, 2017, respectively. The submergence times were June 2, May 19 and May 2, 2018, respectively. The total emergence period was 210, 190 and 170 days, respectively.
Soil samples were simultaneously collected at the aforementioned time points during photosynthesis measurements. Random spots within the quadrats were selected, and a ring cutter was used to collect soil samples (15-cm depth). The samples were transported back to the laboratory, dried and weighed, and then soil water content was measured. Five soil samples were collected from each elevation in each emergence stage. A total of 105 soil samples were collected in the entire measurement cycle. Simultaneously, the texture and nutrient composition of soil was measured (Table 1). The composition of soil particle size was analyzed using a TopSizer laser particle size analyzer (OMEC Instruments Co., Ltd, Guangdong, China). Soil nitrogen concentrations were tested using the Kjeldahl determination, soil phosphorus concentrations tested using the method of Acid fusion-Mo sb colorimetry and the soil potassium concentrations tested using the method of NaOH melting-lame photometry.
|Elevation||Exposure date||Exposure duration (days)||Soil water content (%)||Soil texture composition and type||Soil nutrient content|
|Clay (<2 μm)|
|Silt (2–20 μm)|
|Sand (20–2000 μm)|
|Soil type||Nitrogen (mg/kg)||Phosphorus (g/kg)||Potassium (g/kg)|
|High elevation||November 4||210||10.75 ± 1.21b||1.16 ± 0.21a||26.12 ± 4.14a||72.72 ± 4.35b||Sandy loam||55.91 ± 3.10a||0.84 ± 0.11a||20.91 ± 0.58a|
|Middle elevation||November 10||190||15.51 ± 0.83a||1.02 ± 0.76a||26.41 ± 1.40a||72.57 ± 1.46b||Sandy loam||46.47 ± 7.56a||0.63 ± 0.05a||20.66 ± 0.47a|
|Low elevation||November 13||170||6.74 ± 0.44c||0.71 ± 0.10a||13.23 ± 1.29b||86.06 ± 1.45a||Loamy sand||15.77 ± 4.15b||0.69 ± 0.09a||22.19 ± 0.53a|
Note: Mean ± SE, different letters between columns indicate significant differences (P < 0.05). The exposure date and duration were delayed and shortened with decreases in elevation. Soil texture and soil nutrient contents changed significantly with elevation.
Photosynthesis was measured in plants at the different elevational zones on clear days in the early emergence stage (high elevation 4 December 2017; middle elevation 10 December 2017; low elevation 13 December 2017), middle emergence stage (high elevation 12 February 2018; middle elevation 18 February 2018; low elevation 23 February 2018) and late emergence stage (high elevation 13 April 2018; middle elevation 19 April 2018; low elevation 22 April 2018) of populations to examine the effects of elevational gradient and exposure time on the photosynthetic physiology of the remnant M. laxiflora population. Simultaneously, photosynthesis was measured in plants at different elevational zones on clear days within the 50 days of the growth recovery phase at 10-day intervals to examine the responses of plants to rapid reduction in water levels occurring during early emergence stage. One M. laxiflora plant showing good growth and a plant height > 80 cm was selected from each quadrat for measurement of photosynthesis at the aforementioned time points, and five plants were selected per sample belt. As the leaves of this species are extremely small and young branchlets are green and carry out photosynthesis, we measured the photosynthesis at the top tender branches (Chen and Xie, 2009a). The Li-6400 portable photosynthesis system (Li-Cor Inc., Lincoln, NE, USA) was used to measure the net photosynthetic rate (Pn), stomatal conductance (Gs), transpiration rate (Tr) and intercellular carbon dioxide concentrations (Ci) at the branches. Three branches per plant were measured, and the mean of these measurements was used to represent the photosynthetic characteristics of that individual. During measurement, a red–blue light source was used to control the photosynthetic radiant flux density at 1200 μmol/m2/s, the temperature of the leaf chamber was set to 20°C and flow velocity was set to 500 μmol/s. After photosynthesis measurements, the measured branches were cut and transported to the laboratory. The branches were dried for 24 h at 60°C until constant weight then measured in terms of dry weight. Leaf water content was calculated. The dry weight of the measured branches was used as a surrogate for leaf area to calculate the photosynthetic characteristics (Chen and Xie, 2009a).
Five M. laxiflora plants with heights > 80 cm and exhibiting good growth were selected from each sample belt for light response curve measurements on a clear day during the early, middle and late emergence stages. A red–blue light source was used the measure the net photosynthetic rate under 10 effective radiant flux densities for photosynthesis (2000, 1500, 1200, 1000, 500, 200, 100, 50, 25 and 0 μmol/m2/s). The temperature of the leaf chamber was set to 20°C, and flow velocity was set to 500 μmol/s. A non-rectangular hyperbolic model was used for fitting and calculation of the light response curve parameters including maximum net photosynthetic rate (Pmax), dark respiration rate (Rd), apparent quantum yield (AQY) and light compensation point (LCP).
While plant photosynthetic physiology was measured, the top green branches were randomly collected from a plant in each quadrat. There were five plant samples within each sample belt. The collected plant samples were stored in an ice box, transported back to the laboratory. Upon arrival in the laboratory, 0.20-g fresh branches were cut and placed in a mortar for homogenization using small amounts of quartz sand and 95% ethanol. Then, 10 mL of 95% ethanol was added to the homogenate, and homogenization was continued until the tissues turned white. The homogenate was topped up to 25 mL in a volumetric flask, the absorbance at wavelengths of 665 nm (A665), 649 nm (A649) and 470 nm (A470) were measured, and the levels of photosynthetic pigments were calculated.
Concentration of chloroplast pigments (mg/L):
C(chlorophyll a) = 13.95 × A665–6.88 × A649; C(chlorophyll b) = 24.96 × A649–7.32 × A665
C(carotenoid) = (1000 × A470–2.05 × C(chlorophyll a)-114.8 × C(chlorophyll b))/245
Content of chlorophyll a (Ca), chlorophyll b (Cb), carotenoid (Car) and total photosynthetic pigments (Tpp):
Content of chloroplast pigments (mg/g) = (C × Extraction volume)/Fresh weight of sample
Photosynthetic physiology and photosynthetic pigment characteristic markers were used as dependent variables, and elevation and emergence time were used as independent variables for multivariate analysis of variance (MANOVA). One-way ANOVA and Duncan’s multiple comparison was then performed to determine differences in various markers among treatment levels when the factor processing effect reached significance. At the same time, Pearson correlation analysis of photosynthesis characteristics, levels of photosynthetic pigments and environmental factors was conducted to reveal the mutual relationship between photosynthesis characteristics and levels of photosynthetic pigments as well as their responses to changes in environmental factors. Data analysis was performed using SPSS 19.0 software.
Photosynthetic physiology involves significant changes at different time points during the recovery growth stage (Pn, F = 10.10, P < 0.05; Gs, F = 9.89, P < 0.05; Ci, F = 7.26, P < 0.05; Tr, F = 5.59, P < 0.05) (Fig. 1). The Pn, Gs, Ci and Tr in plants fluctuated with variations in water level fluctuation patterns. The peak values of Pn, Gs and Tr were observed 10–30 days after emergence of the plants, and Ci reached the highest values 30–50 days after emergence of the plants, indicating that the photosynthetic physiology at 10–30 days after emergence was higher than that at 30–50 days after emergence. Elevation had some effects on the observed variations in photosynthetic physiology in plants during the experimental period, particularly the timing when peak values were observed, but not the overall variation pattern.
The experimental period had significant effects on the Pn, Gs and Ci (F = 37.46, P < 0.05; F = 4.84, P < 0.05; F = 10.99, P < 0.05), so did the elevation (F = 3.29, P < 0.05; F = 3.73, P < 0.05; F = 7.30, P < 0.05) (Table 2). However, Tr was only significantly affected by experimental period (F = 4.55, P < 0.05). Interactions between the experimental period and elevation had no significant effects on the photosynthetic physiology of M. laxiflora plants (F = 0.37, P > 0.05).
|Source of deviation||Dependent variable||Type III square sum||df||Mean square||F value||Sig.|
|Elevation gradient||Net photosynthetic rate||0.002||2||0.001||3.288||0.042|
|Intercellular CO2 concentration||13181.468||2||6590.734||7.300||0.002|
|Growth period||Net photosynthetic rate||0.036||2||0.018||37.460||0.000|
|Intercellular CO2 concentration||19845.660||2||9922.830||10.990||0.000|
|Growth period × elevation gradient||Net photosynthetic rate||0.000||4||0.000||0.207||0.933|
|Intercellular CO2 concentration||960.510||4||240.128||0.266||0.898|
Elevation gradient and growth period had significant effects on the main photosynthetic physiological activities
Photosynthesis in M. laxiflora showed significant differences at various stages of the entire experimental period (Pn, F = 37.46, P < 0.05; Gs, F = 4.84, P < 0.05; Ci, F = 10.99, P < 0.05; Tr, F = 4.55, P < 0.05) (Fig. 2). The Pn and Gs of plants initially decreased and then subsequently increased. The Pn and Gs of plants reached the highest values of 0.1094 μmol/g s and 0.0020 mol/g s in the late experimental stage and were significantly higher than in the early and middle experimental stages (F = 37.46, P < 0.05; F = 4.84, P < 0.05), increasing by 88.3 and 153.8%, and 33.3 and 53.8%, respectively. Ci initially increased and then subsequently decreased during growth, with peak values at the middle experimental stage, which was significantly higher than in the early and middle experimental stages (F = 10.99, P < 0.05), increasing by 16.0 and 17.4%, respectively, compared to the early and late experimental stages. Tr continuously increased with experimental period, with that at the late experimental stage showing an increase of 68.6 and 38.3% (F = 4.55, P < 0.05), respectively, compared to the early and middle experimental stages.
The fitted values in the light response curve showed that the photosynthetic performance of M. laxiflora plants significantly changed with experimental period (Table 3). Pmax, Rd and AQY increased with experimental period as follows: early experimental stage < middle experimental stage < late experimental stage, whereas LCP decreased with emergence time as follows: early experimental stage > experimental growth stage > late experimental stage. Among these variables, the change in Pmax from the early to the middle experimental stages during growth was the highest (90.6%), whereas Pmax at the late experimental stage only increased by 14.5% relative to the middle experimental stage. Rd mainly increased from the middle experimental stage to the late experimental stage, increasing by 41.4% at the late experimental stage compared to the middle experimental stage and by 11.3% at the middle experimental stage compared to the early experimental stage. RQY also showed a greater increase at the late experimental stage (61.7%), whereas the middle experimental stage only increased by 35.0% compared to the early experimental stage. The differences in LCP at different experimental stages were not significant, with reductions of 25.3 and 23.4% being observed from the early to the middle experimental stages and from the middle to the late experimental stages, respectively.
|Growth period||Pmax (μmol/g·s)||Rd (μmol/g·s)||LCP (μmol/m2/s)||AQY||R2|
|Early growth period||0.0757||0.0115||131.42||0.0060||0.9698|
|Middle growth period||0.1443||0.0128||98.178||0.0081||0.9928|
|Late growth period||0.1652||0.0181||75.172||0.0131||0.9994|
Note: Pmax, the maximum net photosynthetic rate; Rd, dark breathing rate; LCP, light compensation point; AQY, apparent quantum yield; R2, coefficient of determination. The following tables are the same.
The photosynthetic physiology of M. laxiflora plants showed significant spatial differences at different elevation gradients (Pn, F = 3.29, P < 0.05; Gs, F = 4.29, P < 0.05; Ci, F = 10.93, P < 0.05) (Fig. 3). Pn increased with increasing elevation. The Pn of plants at high elevation was 17.1 and 20.9% significantly higher than that at middle and low elevations (F = 3.29, P < 0.05). Gs first decreased, then increased with increasing elevation. The Gs of plants at low elevation was significantly higher than that at middle-elevation by 46.2% (F = 5.60, P < 0.05). Ci decreased with increasing elevation. The Ci of plants with low elevation were significantly higher than that at high elevation and middle elevation by 15.5 and 10.4% (F = 7.30, P < 0.05), respectively. Tr changed with elevation, although these differences were not statistically significant (F = 1.46, P > 0.05).
The fitted values in the light response curve showed that the photosynthetic performance of M. laxiflora changed with elevation (Table 4). Pmax and AQY decreased with elevation as follows: high elevation > middle elevation > low elevation. The Pmax of high-elevation plants was 5.8 and 28.2% higher than that of middle- and low-elevation plants, respectively. The AQY of high-elevation plants was 71.6 and 162.3% higher than that of middle- and low-elevation plants, respectively. Rd decreased with elevation as follows: middle elevation > low elevation > high elevation, and the Rd of middle-elevation plants was 37.1 and 21.4% higher than that of high- and low-elevation plants, respectively. The LCP decreased with elevation as follows: low elevation > high elevation > middle elevation and the LCP of low-elevation plants was higher than high- and middle-elevation plants by 164.0 and 39.2%, respectively.
M. laxiflora plants showed significant changes in the levels of photosynthetic pigments at different time points during the recovery growth stage (Tpp, F = 6.48, P < 0.05; Ca, F = 2.83, P < 0.05; Cb, F = 2.87, P < 0.05; Car, F = 9.50, P < 0.05). The levels of Tpp, Ca and Cb, and Car continuously increased with recovery growth (Fig. 4A), with a greater increase in the first 30 days that plateaued off during the subsequent 20 days. The levels of Tpp, Cb and Car at Day 30 of recovery growth significantly increased by 27.2, 44.0 and 68.8% (F = 13.99, P < 0.05; F = 13.78, P < 0.05; F = 6.35, P < 0.05), respectively, compared to Day 10 of emergence.
During the recovery growth stage, the content of photosynthetic pigments in plants at different elevations also showed significant differences (Tpp, F = 15.79, P < 0.05; Ca, F = 43.57, P < 0.05; Cb, F = 6.40, P < 0.05; Car, F = 6.35, P < 0.05) (Fig. 4B). The levels of Tpp and Ca and Cb decreased with increasing elevation. The levels of Tpp and Ca and Cb in high-altitude plants was significantly higher than that of low-elevation plants by 30.3, 40.7 and 52.0% (F = 36.23, P < 0.05; F = 93.39, P < 0.05; F = 31.76, P < 0.05), respectively. However, Car decreased with increasing elevation, and the Car content of middle-elevation plants was significantly higher than that of high-elevation plants by 42.1% (F = 7.41, P < 0.05).
The levels of photosynthetic pigments in plants showed significant differences at various experimental periods (Tpp, F = 4.28, P < 0.05; Ca, F = 2.02, P > 0.05; Cb, F = 4.22, P < 0.05; Car, F = 3.82, P < 0.05) (Fig. 5A). The levels of Tpp, Ca and Cb, and Car increased with plant growth. The levels of Tpp, Cb and Car in plants at the late experimental stage was significantly higher than at the early experimental stage by 17.2, 28.1 and 16.7% (F = 11.12, P < 0.05; F = 7.66, P < 0.05; F = 4.81, P < 0.05), respectively.
The photosynthetic pigments in plants at various elevations also show significant differences during growth (Tpp, F = 10.38, P < 0.05; Ca, F = 3.58, P < 0.05; Cb, F = 31.35, P < 0.05; Car, F = 2.50, P > 0.05) (Fig. 5B). The levels of Tpp and Ca and Cb in plants increased with increasing elevation. The levels of Tpp and Ca and Cb in high-elevation plants was significantly higher than that of low-elevation plants by 38.3, 46.2 and 53.8% (F = 21.68, P < 0.05; F = 5.70, P < 0.05; F = 74.76, P < 0.05), respectively. However, Car content decreased with increasing elevation, although these differences were not statistically significant (F = 2.50, P > 0.05).
We employed canonical correspondence analysis (CCA) to analyze the effects of environmental factors on photosynthetic physiology of the remnant population of M. laxiflora. The results show that the contribution rate of the principal axis I and axis II was 49.98 and 6.59%, respectively. Both axes represent 56.57% of the original information in total (Table 5). Environmental factors including river water level, elevation gradient, exposure time, soil water content, total soil nitrogen content and experimental period were significantly correlated with photosynthetic physiology (P < 0.01). Environmental factors had larger loads on axes 1 and 2, but the absolute value of loads on axis 2 was larger than that on axis 1.
|River water level||−0.442||−0.897||0.734||0.001***|
|Soil water content||0.512||−0.859||0.327||0.001***|
|Total soil nitrogen||0.641||−0.767||0.431||0.001***|
|Cumulative contribution rate (%)||49.98||56.57|
Note: R2 represents the coefficient of determination of environmental factors on photosynthetic physiology; P indicates the significance of correlation analysis. ***P < 0.001.
Further CCA sequencing analysis indicated that the effects of environmental factors on photosynthetic physiology varied among photosynthetic physiological indicators (Fig. 6). Pn showed the longest projection distance (from the projection point to the central point) for river water level, while Gs and Tr showed the longest projection on growth period. Additionally, Ca had the greatest effect on river water level and elevation gradient, while Cb and Car had the greatest effect on elevation gradient, exposure time and soil water content. Finally, leaf water content had the greatest effect on total soil nitrogen content. These findings indicated that the Pn, Gs and Tr were susceptible to river water level and time of exposure to the Yangtze River, while chlorophyll content was susceptible to elevation gradient of fluctuation zone and soil water content, and leaf water content was greatly affected by total soil nitrogen content. Because all environmental factors including water level, elevation, soil water content, total soil nitrogen content and exposure time were associated with water level fluctuation, the photosynthetic physiology of the remnant M. laxiflora population was influenced by water level fluctuations of the Yangtze River.
Photosynthetic performance in plants often changes with the process of plant growth and development (Zegadalizarazu and Monti, 2013). Plants exhibit compensatory growth responses once a stressor is removed. Smaoui et al. (2011) examined the tolerance of Cotula coronopifolia to flood stress. They found that the chlorophyll content of these plants significantly increased after a flood for a short period of time, with chlorophyll a and b levels increasing by 167 and 295%, respectively, to rapidly increase photosynthetic rates for compensatory growth. The habitat of M. laxiflora experiences long periods of flooding every summer, and the leaves and young stems of these plants often completely shed during this period. The plants start regrowth when the habitat emerges after water levels had receded. Our previous study showed that the stems and leaves of this species undergo rapid growth during the early stage of recovery (Chen and Xie, 2009b). The present study used the perspective of photosynthetic physiology to assess changes in the photosynthetic performance of plants during the early stage of recovery. We found that the Pn and other photosynthetic physiology markers rapidly increase during recovery growth, which may be associated with compensatory growth after flood stress was removed. As plants consumed large amounts of energy in maintaining vitality during the flood season, they are in a ‘hunger’ state. At the recovery growth stage after flood stress was removed, only by rapidly increasing photosynthetic capacity for photosynthesis could plants compensate for nutrient deficiencies and accumulate substances and energy for later growth processes (Chen et al., 2010). However, plants at various elevations have differences in photosynthetic physiological compensatory growth as growth in high-elevation plants is greater than middle- and low-elevation plants.
There are usually great differences in photosynthetic physiology among plants at different growth and development stages (Zegadalizarazu and Monti, 2013; Christos and George, 2016). Riparian plants start to undergo recovery growth after their emergence. As emergence time and plant growth are prolonged, leaf tissues gradually mature, pigment content increases, enzymatic activities increase and photosynthetic capacity increases (Thomas 2010; Luo et al,. 2011). Substances and energy produced and stored by exuberant photosynthesis enables the plants to respond to the next flood stress (Christos and George 2016; Yang and Li 2016; Wen et al., 2017). The Pmax and photosynthetic pigment content of M. laxiflora plants continuously increase as emergence time prolongs and plants grow, showing that their photosynthetic performance continuously increases with growth. However, actual measurements show that the Pn and Gs during the middle stage of growth of M. laxiflora plants were lower than the early stage, indicating that their actual photosynthetic performance is lower. One explanation for these observations is compensatory growth, which increases the photosynthetic performance of plants during the early emergence stage. Another plausible explanation is that the middle emergence stage occurs in winter, and low temperatures during this time slow down plant growth and related physiological activity. Another may be related to the rapid decrease in water levels in the habitat during the middle stage. The rapid decline in water level causes soil water content in the habitat to be at the lowest level. Insufficient soil water content affects photosynthetic performance (Zegadalizarazu and Monti, 2013; Vivian et al., 2014). Chen et al. (2013) studied the photosynthetic physiology responses of a riparian plant, Populus euphratica, to groundwater levels. They found that when groundwater levels were lower than the normal water levels, the water potential and stomatal conductance in leaves decreased, which in turn significantly reduced photosynthesis in plants.
Spatial heterogeneity in the environment often causes changes of plants in photosynthetic physiology (Zheng and Shangguan, 2007; Gratani et al., 2012). Spatial changes in the photosynthetic physiology of riparian plants distributed at different elevations occur as responses to environmental heterogeneity during the exposure period, duration and soil moisture and nutrients caused by water level fluctuations (Steed et al., 2002; Shen and Chen, 2015). Optimal emergence duration and emergence time can significantly promote the photosynthetic physiology of plants (Wen et al., 2017). The emergence duration and emergence time of high-elevation habitats are earlier and longer than low-elevation habitats. Therefore, plants located at high-elevation regions have generally higher photosynthetic rates than low-elevation plants (Poff et al., 2007; Zhang et al., 2018). In addition, soil water saturation, severe water and soil nutrients deficiency caused by water level fluctuations also adversely affect the photosynthetic physiology of plants (Yang and Li, 2016). Shen and Chen (2015) found that the photosynthetic physiology of Cynodon dactylon in the riparian zone of the Three Gorges Reservoir Region changes with elevation, i.e. community photosynthetic characteristics and productivity were highest in 160–170-m high-elevation regions, which have significantly higher photosynthetic performance compared with middle- and low-elevation communities in the riparian zone.
The photosynthetic physiology of M. laxiflora show significant spatial differences as Pmax and Pn increases with higher elevation. The differences in photosynthetic physiology and photosynthetic performance of plants among various elevations originate from differences in the emergence duration, emergence time, soil water content and soil nutrients. The emergence time and duration of remnant M. laxiflora populations is thus earlier and longer, and the total soil nitrogen and phosphorus content increases with elevation. High-elevation plants showed faster recovery growth, longer recovery growth stage, better growth status than low-elevation plants and better photosynthetic performance. Plant photosynthetic performance is positively correlated with pigment content (Zheng and Shangguan, 2007). This is because an increase in the content of photosynthetic pigments facilitates the capture, allocation, transmission and conversion of light energy by leaves. The major photosynthetic physiology markers of M. laxiflora plants also showed a similar correlation with the levels of photosynthetic pigments. The levels of photosynthetic pigments and photosynthetic performance exhibited identical spatial variation patterns, i.e. high elevation > middle elevation > low elevation. The difference in photosynthetic performance among elevation gradients is because of the spatial heterogeneity of the environment caused by water level fluctuations. However, the dominant environmental factors influencing each photosynthetic physiological parameter differed from each other.
Riparian plants have developed mechanisms to adapt river water fluctuations (Glenz et al., 2006; Song et al., 2016). Although floods and droughts caused by normal water level fluctuations affect the fluctuations and changes in photosynthetic physiological activities in plants to some extent, plants can adapt to these environmental stresses through morphological and physiological changes, so that photosynthetic physiological activities are slightly altered and then subsequently restored to normalcy (Kozlowski 1997). However, when large changes in river water fluctuation patterns occur, the degree of environmental stress exceeds the adaptation range of plants. This greatly affects photosynthetic physiology in plants, which would further influence plant growth (Hussner and Meyer, 2009; Yang et al., 2018). Yang et al. (2018) found that when bitter nightshade (Solanum dulcamara) experiences flood stress, these form aerenchymatous adventitious roots on their stems to decrease stress damage. However, when great changes in the environment occur, resulting in complete submergence, the adventitious roots are damaged and photosynthetic physiology decreases. Changes in water level fluctuations may also affect the growth and development of plants, possibly threatening their survival, thus endangering species (Wang et al., 2003; Chen et al., 2005). Kitamura et al. (2009) found that after Schoenoplectus gemmifer has experienced several large floods, and its population size is now only one-tenth of that in the past, and their risk for extinction has significantly increased.
CCA showed that the photosynthetic activity of this species is significantly influenced by the water level of the Yangtze River, soil water content, altitude, emergence time and soil nutrients. Therefore, changes in the water level of the Yangtze River, emergence time, soil water content and soil nutrients caused by changes in water level fluctuation patterns will affect photosynthetic physiology in plants. The construction of the large Three Gorges–Gezhouba Dam cascade hydropower station has changed the water level fluctuation pattern of the habitat of remnant M. laxiflora populations. The emergence time of the habitat was delayed from the beginning of September to the early-mid October, while the flood period now occurs earlier, which was originally from late May to mid or even early May. The entire emergence period was shortened from 200–240 to 170–210 days. Therefore, the photosynthetic physiological activities and growth time of M. laxiflora plants are delayed and shortened. At the same time, during habitat emergence, the rate water level decline also increased. The timing of minimum runoff occurs earlier, from January–March to December to February of the subsequent year (Duan et al., 2016). The water level of the habitat during the dry period significantly decreased by around 1.29 m (Sun et al., 2012). The accelerated decline in water level and decline in water level during the dry period causes the soil water content in the habitat to decrease, thereby affecting the photosynthetic physiology of plants. We previously measured the photosynthetic physiology of M. laxiflora plants during autumn and spring in the following year under normal water level fluctuations, and the net photosynthesis intensity was 0.066 and 0.151 μmol/g·s (Chen and Xie, 2009a). These values were both higher than the Pn measured in this study at the same time range. Therefore, the construction of a large hydropower station has changed the water level fluctuation pattern of the habitat for remnant M. laxiflora populations. Due to the shortening of the photosynthesis period and the decrease in the photosynthetic physiology intensity in plants, the assimilation and growth of plants during the entire experimental period are further affected.
Changes in river water level fluctuations and changes in the ecological environment caused by it often affect plant photosynthetic physiology, growth and development and population regeneration (Vivian et al., 2014; Campbell et al., 2016). Bao et al. (2010) examined the population dynamics of remnant M. laxiflora populations and found that the number of seedlings is low and growth is delayed, resulting in difficulties in population regeneration and the population is at a degenerate state. Our previous study showed that soil water content has important effects on the germination of M. laxiflora seeds and seedling growth, while changes in river water level fluctuations affect the regeneration of the population (Yuan et al., 2008). The results of this study showed that the photosynthetic physiology of remnant M. laxiflora populations is significantly influenced by the water level of the Yangtze River, soil water content and emergence time. Therefore, artificial regulation of water level fluctuations in the Yangtze River will cause changes in the water level fluctuation configuration of the habitat of remnant M. laxiflora populations and severely affect photosynthetic physiology in plants. To ensure the normal operation of photosynthetic physiology in remnant M. laxiflora populations, it is extremely important to satisfy the aquatic environmental conditions of plants. Appropriate adjustments to the current flow regulation plan in large hydropower stations could be made so that the habitat can emerge earlier and water level decline can be slowed to satisfy the photosynthetic physiology requirements of plants.
The construction of the Three Gorges–Gezhouba Dam cascade hydropower station known as the Three Gorges project has altered the pattern of water level fluctuations in the habitat of remnant M. laxiflora populations downstream of the dam. To uncover influences of the changes in water level fluctuations on species conservation, the physiological responses of M. laxiflora to regulated regimes were examined by in situ testing of the photosynthetic characteristics of populations distributed along elevation gradient during different emergence stages. Significant spatiotemporal dynamics of plants in photosynthetic physiology were observed. The photosynthetic physiological activities of remnant populations generally increased with the prolongation of emergence time throughout the experimental growth period after emergence. The fluctuation gradient also had a significant effect on photosynthetic physiological activities of remnant populations. The photosynthetic physiological activities of high-altitude plants were significantly higher than the middle- and low-elevation plants. The variations in photosynthetic pigment content of young shoots and leaves were the same as the photosynthetic physiological activities. Most photosynthetic physiological parameters in the plants were significantly correlated to photosynthetic pigment content, altitude, changes in water levels and emergence time and soil water content. The altered water level fluctuation pattern caused by the Three Gorges Dam–Gezhouba cascade water conservancy and hydropower project delays emergence time, shortens growth period, accelerates the decline rate of water level and reduces soil water content, which impacts the photosynthetic physiology of remnant M. laxiflora populations.
The authors are thankful to Yanrang Ma and Danwei Xiong for their assistance in the field experiment. G.S.P., C.F.Q. and X.Z.Q. designed the experiment, interpreted the data and wrote manuscript. G.S.P., Z.J.M and H.Y.W carried out field investigations and chemical analyses.
This work was supported by grants from the National Natural Science Foundation of China (31770564) and National Science and Technology Basic Work Project of China (2015FY110300).