iForest - Biogeosciences and Forestry

iForest - Biogeosciences and Forestry

Salinity strongly drives the survival, growth, leaf demography, and nutrient partitioning in seedlings of Xylocarpus granatum J. König

iForest - Biogeosciences and Forestry, Volume 10, Issue 5, Pages 851-856 (2017)
doi: https://doi.org/10.3832/ifor2382-010
Published: Oct 26, 2017 - Copyright © 2017 SISEF

Research Articles

Salinity is increasing in the Sundarbans (Bangladesh) due to sea-level rise and the reduction of fresh water flow. Xylocarpus granatum is one of the most valuable mangrove tree species of the Sundarbans. We conducted a six-month long study to investigate the effect of salinity on the survival, growth, leaf demography, and nutrient partitioning in parts of X. granatum seedlings. Our results showed that most of the seedlings (90%) survived at 0 to 5 PSU salinity, and this survival percentage was found to decrease at higher saline conditions. Salinity of more than 25 PSU was lethal to the plants as no seedlings survived under these conditions. In this salinity (25 PSU), accelerated leaf fall coupled with a reduction in the new leaves caused loss of leaves. The relative growth rate (RGR) was higher at 0 to 5 PSU salinity, and conversely, a lower growth rate was observed with increased salinity. Higher saline conditions created stress, which inhibited nutrient (N, P and K) accumulation in different parts (leaf, stem, bark and root) of the seedlings. We concluded that salinity is a critical factor for the growth and survival of X. granatum either by inhibiting plant nutrient uptake or due to salinity related toxicity.

Mangroves, Climate Change, Leaf Demography, Salinity, Sundarbans, Xylocarpus granatum


Mangroves are the dominant woody vegetation of intertidal coastlines in the tropical, sub-tropical and warm temperate zones of the world ([24]), and these plants are constantly subjected to salinity ranging from seasonally freshwater (with traces of salinity) to hypersaline conditions ([44], [32]). Salinity is known to limit propagule germination, seedling growth, and survival of mangroves ([26]).

Several researchers have studied the growth of mangrove species under different salinity levels. For example, Hoppe-Speer et al. ([13]), Mahmood et al. ([26]), and Chen & Ye ([7]) found maximum biomass in salinity ranging from 0 to 10 PSU (Rhizophora mucronata at salinity 8 PSU, Heritiera fomes and Excoecaria agallocha at salinity range 0 to 5 PSU). However, further increases in salinity can slow the biomass growth ([7], [27]). Reduction of leaf production accompanied with higher leaf mortality often leads to the death of the plant ([6], [41]). Leaf production and senescence are of vital physiological significance for plants as they govern the total leaf surface area per plant and leaf turnover rate ([38]). Leaf demography patterns at different salinity stress conditions provide important indications of salt balance ([8]). Higher saline conditions reduce the nutrient uptake and accumulation and can also affect nutrient partitioning in plant parts ([12], [9]). Differences in ion partitioning and the maintenance of higher nutrients such as K+ to Na+ ratios, especially in young tissues, may be an important mechanism for improving salt tolerance ([43]). Moreover, Khan et al. ([17]) and Patel et al. ([36]) stated that ion toxicity was due to saline stress. Salinity tolerance ranges vary considerably by mangrove species, and the range of salinity tolerance is an important determinant for plant growth and survival in their habitats ([31], [27]).

Allen et al. ([1]) reported that seedlings of Xylocarpus granatum can grow in 23 PSU salinity without any visible stress signs, but they add that growth is much better in non-saline conditions. However, in the Sundarbans, X. granatum commonly occurs in moderately (15 to 25 PSU) saline areas. Xylocarpus granatum is a medium sized, less branched, exclusive mangrove tree species that normally flowers either in pre-monsoon (March-May) or post-monsoon time (October-December). Fruits, consequently, may come either in May-July or in December-February, and each fruit contains approximately 4-6 semi-triangular seeds. Both fruits and seeds are buoyant and water dispersed, and seeds show epigeal germination ([23]). Seed germination is greater in less saline conditions (approximately 60%) than in high saline conditions (approximately 20% - [26]). Xylocarpus granatum is considered to be a salt accumulating species ([34]) and occurs in association with H. fomes, Avicennia officinalis or Brugeira gymnorrhiza. Xylocarpus granatum covers 3.09% of the total vegetated area of the Sundarbans, which declined at a rate of 0.10% year-1 during the 1926-1997 period ([15]). Assuming increased salinities might prevent the recovery and reduce the abundance of X. granatum as a consequence of seedling failure, we aimed to determine whether X. granatum can change its salinity tolerance over time. We wanted to investigate what its salinity tolerance over time would be at each developmental stage. We conducted our study with X. granatum seedlings, as the juvenile stage is more sensitive compared to adults, and X. granatum will increase its salinity tolerance with age.

Evidence suggests that salinity is increasing in the Sundarbans due to sea-level rise in association with reduced fresh water flow from upstream ([11]). The present study examined the effect of salinity on seedling survival and growth, leaf demography, nutrient (N, P and K) and sodium distribution in different parts of X. granatum seedlings. Investigating the relationship of these characteristics to salinity should facilitate a better understanding of the leaf and growth dynamics of this mangrove species. Furthermore, these adaptations may help to elucidate the future status of this species in relation to the consequences of climate change.

  Materials and methods 

Seed collection and seedling raising

Mature fruits were plucked and collected from several healthy X. granatum trees from the Chandpai range of the Sundarbans, Bangladesh (89° 36′ 31.068″ E, 22° 20′ 11.832″ N) during June and July (Fig. 1). The fruit collection site was in a 10-25 PSU saline zone with an average elevation of 0.9 to 2.1 m above mean sea level and can therefore be classified as mesohaline zone according to Siddiqi ([40]). The site is nearly 200 m away from the Passur River. The land is low and flat and dominated by silty clay loam or alluvium ([16]) with an alternate layer of clay and sand, which is mostly neutral to mildly alkaline in nature. The area becomes waterlogged during the full moon, though there are two high tides per day where it remains dry except during the rainy season when it becomes waterlogged twice a day by high tide. The salinity of the river decreases rapidly with the increase of freshwater flow after the dry season (minimum salinity in August-September) and increases steadily after the freshwater flow reduction in the post-monsoon period (April-May) as the area is situated in the eastern part (except at the river mouth) according to Siddiqi ([40]). Due to the strong seasonal climate, 87% of the annual precipitation (1500 mm) occurs between May and October, and the other months are considered dry with little or no precipitation ([40]). Maximum and minimum temperatures range from 18 to 35 °C in summer and 12 to 29 °C during winter. The site is dominated by H. fomes with a scattered distribution of X. granatum.

Fig. 1 - Salinity zones in the Sundarbans and the red circle is the sample collection site.

  Enlarge/Shrink   Download   Full Width  Open in Viewer

Sampled fruits are globose up to 18-24 cm in diameter, and each fruit contains an average of 4-6 seeds. Seeds with visible defects were discarded from the study. Germination was initiated by placing the seeds on the surface of coarse sand (0.5 mm to 1 mm) in a 15-cm thick germination bed. Daily water was provided early in the morning and late in the afternoon to maintain a high level of moisture, compensating for evaporative loss.

Seedling survival, growth and leaf demography

Each six-month-old individual seedling was placed in a coarse sand-filled PET bottle (9 cm in diameter and 20 cm in height), and a total of 156 seedlings were prepared. For each seedling, fresh weight of the whole plant including the stem, roots and leaves was measured and recorded. The number of leaves per seedling was counted and recorded at the beginning of the experiment, and the number of newly grown leaves and leaves shed (by counting the leaf marks left by the fallen leaves on the stem) per seedling was counted and recorded throughout the experiment. The fresh to oven-dried weight conversion ratio was calculated from 12 seedlings after drying them at 80 °C for 4 days. A total of 6 bottles with seedlings were placed in a plastic box (20 × 15 × 12 cm), and thus, 24 boxes were prepared, which were exposed to different salinity treatments (0-35 PSU, at 5 PSU intervals) with 3 replicates for each treatment. Each of the boxes was irrigated with 5 liters of modified full strength Hogland nutrient solution. Different salinity levels of this nutrient solution were maintained by preparing the 1000 ppm stock solution of commercially available NaCl. Hogland solution was modified to avoid further contamination of Na+ and Cl- from the nutrient composition of this solution ([26]). The depth of the nutrient solution was maintained up to the collar height of seedlings, and the salinity levels were checked daily by using a portable hand salinity refractometer (RHS-4/ATC). The water level was marked in each of the boxes and checked daily; if necessary, distilled water was added up to the mark to compensate for evaporative loss.

Fig. 2 - Temporal diagram of the gradual change in salinity level during the experiment.

  Enlarge/Shrink   Download   Full Width  Open in Viewer

The initial salinity of the nutrient solution was 0 (zero) PSU. At the second week, the salinity of the first treatment was kept at 0 PSU, and all other treatments were increased to 2.5 PSU. At the 3rd week, the salinity of the first treatment was kept at 0 PSU, but the other treatments were increased by another 2.5 PSU. At the 4th week, the salinity of the first treatment was kept at 0 PSU, and the second treatment was kept at 5 PSU, while all other treatments were increased by 2.5 PSU. Thus, the salinity of the solution was gradually increased from 0 to 35 PSU in the respective treatments following the above method (Fig. 2). Salinity was increased gradually as it helps the seedlings to cope with the sudden shock of salt stress. The solution was replaced weekly, and salinity levels were checked regularly. The pH in the nutrient medium was maintained at 7.5-8 for all the treatments. After reaching their final salinity level, every seedling was kept for 25 weeks in an uncontrolled glass-house under natural temperature and light and then harvested. At the end of the experiment, the number of surviving seedlings was counted before they were harvested, and the green final biomass of each seedling including stem, roots and leaves was taken. The leaf area was measured by using Fiji ImageJ software ([39]), and the relative growth rate (RGR, mg g-1d-1) was calculated according to Kriedermann et al. ([20] - eqn. 1):

\begin{equation} RGR = \frac{ \ln B_{t}- \ln B_{0}} {t_{t}-t_{0}} \end{equation}

where Bt is the final biomass of the seedlings measured at the time of harvest, and B0 is the initial dry biomass of the seedling estimated from the fresh to oven dry weight conversion ratio. Specific leaf area (SLA, cm2 g-1) was obtained by dividing the leaf area by leaf biomass.

Measurements of nutrients (N, P and K), and sodium in seedling parts

Tree seedling parts (leaves, bark, stems and roots) were collected from the harvested seedlings of each treatment and crushed to 1.0 mm particle size by sieving to ensure homogeneity. After thorough mixing of the sieved samples, approximately 100 g of subsamples were taken for oven-drying at 60 °C for 4 days. The oven-dried samples were processed and acid digested according to Allen ([2]). Nitrogen and P in the sample extract were measured according to Baethgen & Alley ([3]) and Olsen & Sommers ([33]), respectively. Potassium (K) and sodium (Na) in the sample extract were measured by a Flame photometer (PFP7, Jenway LTD, England).

Statistical analysis

The survival percentages were arcsine transformed and then compared among the treatments by one-way Analysis of Variance (ANOVA) followed by Least Significant Difference (LSD) tests. Additionally, correlation among the survival and growth parameters of seedlings and salinity treatments was conducted using SAS v. 6.12 statistical software. Relative Growth Rate (RGR), Specific Leaf Area (SLA) and Leaf Area Ratio (LAR) in different salinity treatments were also compared by one-way ANOVA followed by LSD tests. Nitrogen (N), Phosphorus (P), Potassium (K) and Sodium (Na) concentrations in different parts of seedlings in different salinity treatments were compared by two-way ANOVA followed by LSD tests. N, P, K and Na relationships with salinity were evaluated through Pearson’s correlation analysis using SAS v. 6.12 statistical software.


The highest survival (87% to 92%) of seedlings was observed at 0 to 5 PSU saline conditions, and the rate of survival started to decrease significantly (p<0.05) with increasing salinity. The lowest survival (25%) was observed at 25 PSU salinity (Fig. 3a, Tab. 1). The survival of seedlings showed a significant (p<0.05) strong negative correlation (r = -0.94) with salinity. Hence, the effect of salinity on seedling growth was only considered up to a salinity level of 25 PSU.

Fig. 3 - Effects of salinity on seedlings of Xylocarpus granatum: (a) survival; (b) leaf demography; (c) specific leaf area; and (d) growth. Values are means of three replicates with six seedlings per replicate. Means at the same salinity with different letters are significantly different (p<0.05) according to one-way ANOVA test.

  Enlarge/Shrink   Download   Full Width  Open in Viewer

Tab. 1 - ANOVA table for the effects of salinity on the survival, leaf demography and growth of Xylocarpus granatum seedlings.

Sources of Variation df Mean Square F Value P
Survival 7 11008.84 370.02 0.0001
Total Leaf 5 252.86 5.91 0.0001
New Leaf 5 115.81 6.88 0.0001
Shaded Leaf 5 8.59 6.72 0.0033
Specific Leaf Area 5 595.10 8.42 0.0001
Relative Growth Rate 5 0.00002557 9.92 0.0001

  Enlarge/Reduce  Open in Viewer

The highest number of new leaves (10) and consequently the highest number of total leaves (15) per seedling was observed at 5 PSU salinity, and the number of new leaves as well as total leaves decreased significantly (p<0.05) with increasing salinity. Conversely, the highest number of leaves shed per seedling (5) was observed at 25 PSU and decreased significantly (p<0.05) with decreasing salinity (Fig. 3b, Tab. 1). Accelerated senescence of leaves coupled with reduced numbers of newly initiated leaves at salinities of 20 and 25 PSU resulted in loss of leaf over time. The number of newly grown leaves showed a significant negative correlation (r = -0.85) with salinity, whereas the number of shed leaves was positively correlated (r = 0.93) with salinity. The highest specific leaf area (24 cm2 g-1) was observed at 0 to 5 PSU salinity conditions, and the leaf area significantly (p<0.05) declined with increasing salinity (11 cm2 g-1 in 25 PSU salinity) conditions (Fig. 3c, Tab. 1). The specific leaf area showed a significant (p<0.05) negative correlation (r = 0.95) with salinity.

Seedlings of X. granatum grew best at 0 PSU (0.004 g d-1) to 5 PSU (0.0045 g d-1), but the growth of seedlings was significantly (p<0.05) compromised at elevated saline conditions (Fig. 3d, Tab. 1), and at a salinity of 25 PSU, the relative growth rate was negative. Relative growth rate showed a significant negative correlation (r = -0.83) with salinity.

Significant differences in nitrogen (F = 121.72, p <0.0001), phosphorus (F = 5.71, p <0.0001), potassium (F = 148.07, p <0.0001) and sodium (F=59.36, p<0.0001) concentrations were observed for different parts of X. granatum seedlings at different salinity levels. Comparatively, the highest (p <0.05) concentration of N (72 mg g-1) was observed in leaves, followed by stems, bark and then roots (Fig. 4a, Tab. 2). The highest concentration of P (1.56 mg g-1) was detected in leaves, but similar concentrations were observed for bark, roots and stems at different salinities (Fig. 4b, Tab. 2). In the case of K, comparatively, the highest (p <0.05) concentration (116.5 mg g-1) was observed in leaves followed by stems, roots and bark. However, the concentration was very similar for bark and roots (Fig. 4c, Tab. 2). Comparatively, the highest (p<0.05) Na concentration (42.57 mg g-1) was observed in leaves followed by roots, bark and stems (Fig. 4d, Tab. 2). The concentration of nutrients was comparatively higher (p<0.05) at 0 to 5 PSU salinity conditions, and with the increase of salinity, the concentration of nutrients was compromised in all parts of seedlings except for P in bark and stems (Fig. 4). N, P and K concentrations in different parts of seedlings showed significant (p<0.05) negative correlations with salinity, while Na concentration showed a significant positive (p<0.05) correlation. The sodium concentrations in plant parts showed a significant (p<0.05) inverse relationship with potassium in the respective plant parts (Tab. 3).

Fig. 4 - Effects of salinity on nutrients concentration in seedlings of Xylocarpus granatum. (a) Nitrogen; (b) Phosphorus; (c) Potassium and (d) Sodium. Values are means of three replicates with six seedlings per replicate.

  Enlarge/Shrink   Download   Full Width  Open in Viewer

Tab. 2 - ANOVA table for the effects of salinity on nutrient partitioning of Xylocarpus granatum seedlings.

Sources of Variation df Mean Square F Value Prob.
N Leaf 5 203.443 26.03 <0.0001
Bark 5 163.154 39.68 <0.0001
Stem 5 306.198 22.85 <0.0001
Root 5 86.6544 30 <0.0001
P Leaf 5 0.07528 3.34 0.0404
Bark 5 0.0078 0.8 0.5716
Stem 5 0.01728 1.1 0.4083
Root 5 0.27461 7.59 0.002
K Leaf 5 165.439 38.3 <0.0001
Bark 5 141.106 44.93 <0.0001
Stem 5 716.098 211.12 <0.0001
Root 5 1093.99 14 <0.0001
Na Leaf 5 670.825 92.17 <0.0001
Bark 5 222.447 68 <0.0001
Stem 5 72.2391 55.03 <0.0001
Root 5 364.349 115.12 <0.0001

  Enlarge/Reduce  Open in Viewer

Tab. 3 - Correlation (Pearson) among salinity level and nitrogen, phosphorus, potassium and sodium in different parts of Xylocarpus granatum seedlings (Values are means of three replicates with six seedlings per replicate and p<0.05).

Elements Plant Parts
Leaf Bark Stem Root
N -0.97 -0.95 -0.93 -0.97
P -0.82 0.38 -0.71 -0.95
K -0.97 -0.91 -0.95 -0.86
Na 0.89 0.99 0.99 0.99

  Enlarge/Reduce  Open in Viewer


Higher survival of seedlings was observed in non-saline to slightly saline conditions (0 to 5 PSU), and the survival percentage was reduced with increased salinity, similar to the findings of Ball et al. ([4]), Houle et al. ([14]), and Nandy et al. ([31]). Higher survival in non-saline to slightly saline conditions suggests that salt is not a requirement for the growth of a mangrove species such as X. granatum ([18]). Beyond the salinity 25 PSU, no seedlings survived, and as a result, salinity over 25 PSU was considered a threshold for the survival of X. granatum species (Fig. 2a). Similarly, Ye et al. ([44]) found lower survival for Aegiceras corniculatum at 25 PSU, and Chen & Ye ([7]) found 25 PSU salinity to be lethal for Excoecaria agallocha.

Reduced leaf production, decreased specific leaf area and increased leaf senescence with increased salinity is in accordance with the findings of Ball & Pidsley ([6]) and Chen & Ye ([7]). Leaf area reduction is considered to be the immediate response to salt stress ([35], [37]). Increased salt concentration leads to an increase in leaf shedding, as it is one of the mechanisms used by halophytes in high salinity conditions ([19]) to remove excess salt. The accelerated leaf senescence and mortality of X. granatum seedlings at 25 PSU was accompanied by little leaf production, resulting in negative foliage gain over time. This suggests that although they survived the duration of the experiment, older seedlings of X. granatum cannot survive at this salinity in the long term.

Differences in N, P, K and Na in various seedling parts in our study are similar to the findings of Mahmood et al. ([26]). Nitrogen, P and K are more abundant in leaves as they are physiologically active and help in photosynthesis ([25], [42]). The higher amount of K in leaves suggests that K is a principal element responsible for osmotic adjustment, which contributes to the salt regulation mechanism ([43]). The higher concentration of Na in leaves of X. granatum contradicts the findings of Taffouo et al. ([42]) for Citrullus lanatus and Cucurbita moschata in Cameroon. This variation may represent species-specific accumulation of salt in their leaves. Additionally, as a salt accumulator, X. granatum ([34]) may expel excess salt by dropping leaves ([29]), which is also supported by the results from our leaf demography study.

Nutrient imbalance in plants due to salinity stress ([12]) may be attributed to reduced leaf numbers and leaf area ([6], [41]), which implies that the productivity of the plant is affected by salinity ([10]). The reduction in nutrient concentrations (N, P and K) corresponding with increasing salinity may indicate a barrier provided by salinity to the uptake and accumulation of nutrients, or affect nutrient partitioning within the plant ([9]). However, the extent of this relationship varies with species and plant parts ([12]). Nonetheless, no variation in P of bark and stems with respect to salinity may be due to ontogeny, salinity level or species-specificity ([12]). The antagonistic relationship among sodium and potassium found in the present study suggests that sodium inhibited the uptake of potassium ([26]).

Reduced growth associated with increasing salinity was also reported with Ceriops australis and C. decandra in Australia ([5]), H. fomes in Bangladesh ([26]), and A. germinans in Venezuela ([22]). Further, Ye et al. ([44]) found a significant increase of RGR from 0 to 5 PSU, with a significant decrease in RGR at salinities over 15 PSU; the highest value was at low (5 PSU) to moderate salinities (15 PSU) for three salt-secreting mangrove species (Acanthus ilicifolius, Aegiceras corniculatum and Avicennia marina). However, we found no significant difference from 0 to 5 PSU salinity both in survival percentage and RGR in our study, which may be attributed to the efficiency of salt regulation up to 5 PSU by the plants.

Nutrients are essential to perform different physiological functions (such as respiration, transpiration and photosynthesis) of plants ([28]). High salinity affects plant growth through sodium induced toxicity or by causing nutrient deficiency/disorder or a combination of those factors ([21]). This could be the reason we observed higher RGR at 0 to 5 PSU salinity and vice versa. Ball & Pidsley ([6]) observed similar results while studying Sonneratia lanceolata. Thus, we can conclude that salinity is a critical factor for the development, survival and growth of mangrove seedlings and that the effect of salinity depends on the species-specific salt tolerance range ([14], [31]). In low salinity conditions, mangroves usually deploy most of their energy for growth and development. Conversely, most of the energy is utilized for survival at higher salinities ([41]) to help develop salinity-induced physiological changes ([30]). These changes could be the reason we observed comparatively higher survival and growth of X. granatum seedlings at lower salinities.


Salinity is a driving factor for the survival, growth, development and nutrient partitioning in plant parts of mangrove species. The studied species is known as a moderated salt tolerant species in the Sundarbans. However, climate change consequences (sea level rise, change in rainfall amount and pattern, saline intrusion due to the withdraw of fresh water flow from the upstream of the Sundarbans) may lead to increase the salinity in the studied area. The increase in salinity up to more than 25 PSU in the Sundarbans may cause threat on the natural regeneration and recruitment of this species. Therefore, sustainable flow of fresh water in the Sundarbans may protect the extinction of this species from its habitat.


We are thankful to United States Department of Agriculture (USDA) for their financial support; Ministry of Education and University Grants Commission, Bangladesh for their monitoring and smoothing the project activities. We also acknowledge the Sundarbans East Forest Division, and Forestry and Wood Technology Discipline, Khulna University for the logistic support.


Allen JA, Krauss KW, Hauff RD (2003). Factors limiting the intertidal distribution of the mangrove species Xylocarpus granatum. Oecologia 135 (1): 110-121.
CrossRef | Gscholar
Allen S (1989). Chemical analysis of ecological materials (2nd edn). Blackwell, Oxford, UK, pp. 368.
Baethgen WE, Alley MM (1989). A manual colorimetric procedure for measuring ammonium nitrogen in soil and plant Kjeldahl digests. Communication in Soil Science and Plant Analysis 20 (9-10): 961-969.
CrossRef | Gscholar
Ball M, Cowan IR, Farquhar GD (1988). Maintenance of leaf temperature and the optimization of carbon gain in relation to water loss in a tropical mangrove forest. Functional Plant Biology 15 (2): 263-276.
Online | Gscholar
Ball MC (2002). Interactive effects of salinity and irradiance on growth: implications for mangrove forest structure along salinity gradients. Trees 16 (2-3): 126-139.
CrossRef | Gscholar
Ball MC, Pidsley SM (1995). Growth responses to salinity in relation to distribution of two mangrove species, Sonneratia alba and S. lanceolata, in northern Australia. Functional Ecology 9: 77-85.
CrossRef | Gscholar
Chen Y, Ye Y (2014). Effects of salinity and nutrient addition on mangrove Excoecaria agallocha. PLoS ONE 9 (4): e93337.
CrossRef | Gscholar
Clough BF, Andrews TJ, Cowan IR (1982). Physiological processes in mangroves. In: “Mangrove ecosystems in Australia: Structure, function, and management” (Clough BF ed). Australian National Press, Canberra, Australia, pp. 193-210.
Fernández-García N, Martínez V, Carvajal M (2004). Effect of salinity on growth, mineral composition, and water relations of grafted tomato plants. Journal of Plant Nutrition and Soil Science 167 (5): 616-622.
CrossRef | Gscholar
Franco M (1985). A modular approach to tree production. In: “Studies on Plant Demography” (White J ed). Academic Press, London, UK, pp. 257-272.
Gopal B, Chauhan M (2006). Biodiversity and its conservation in the Sundarbans mangrove ecosystem. Aquatic Science 68 (3): 338-354.
CrossRef | Gscholar
Grattan SR, Grieve CM (1999). Mineral nutrient acquisition and response by plants grown in saline environments. In: “Handbook of Plant and Crop Stress (2nd edn)” (Pessarakli M ed). CRC Press, New York, USA, pp. 203-229.
Online | Gscholar
Hoppe-Speer SC, Adams JB, Rajkaran A, Bailey D (2011). The response of the red mangrove Rhizophora mucronata Lam. to salinity and inundation in South Africa. Aquatic Botany 95 (2): 71-76.
CrossRef | Gscholar
Houle G, Morel L, Reynolds CE, Siégel J (2001). The effect of salinity on different developmental stages of an endemic annual plant, Aster laurentianus (Asteraceae). American Journal of Botany 88 (1): 62-67.
CrossRef | Gscholar
Iftekhar MS, Saenger P (2008). Vegetation dynamics in the Bangladesh Sundarbans mangroves: a review of forest inventories. Wetland Ecology and Management 16 (4): 291-312.
CrossRef | Gscholar
Islam MS (2003). Perspectives of the coastal and marine fisheries of the Bay of Bengal, Bangladesh. Ocean and Coastal Management 46: 763-796.
CrossRef | Gscholar
Khan MA, Ungar IA, Showalter AM (2000). Effects of salinity on growth, water relations and ion accumulation of the subtropical perennial halophyte, Atriplex griffithii var. stocksii. Annals of Botany 85 (2): 225-232.
CrossRef | Gscholar
Krauss KW, Ball MC (2013). On the halophytic nature of mangroves. Trees 27 (1): 7-11.
CrossRef | Gscholar
Krauss KW, Lovelock CE, McKee KL, López-Hoffman L, Ewe SM, Sousa WP (2008). Environmental drivers in mangrove establishment and early development: a review. Aquatic Botany 89 (2): 105-127.
CrossRef | Gscholar
Kriedemann P, Virgona J, Atkin O (2014). Growth analysis: a quantitative approach. In: “Plants in Action, Adaptation in Nature, Performance in Cultivation (2nd edn)” (Price C, Munns R eds). Australian and New Zealand Societies of Plant Sciences, web site.
Online | Gscholar
Läuchli A, Grattan S (2007). Plant growth and development under salinity stress. In: “Advances in molecular breeding toward drought and salt tolerant crops” (Jenks MA, Hasegawa, PM, Jain SM eds). Springer, The Netherlands, pp. 1-32.
CrossRef | Gscholar
Lopez-Hoffman L, Anten NP, Martínez-Ramos M, Ackerly DD (2007). Salinity and light interactively affect neotropical mangrove seedlings at the leaf and whole plant levels. Oecologia 150 (4): 545-556.
CrossRef | Gscholar
Mahmood H (2015). Handbook of selected plant species of the Sundarbans and the embankment ecosystem. German Development Cooperation (giz), Dhaka, Bangladesh, pp. 113.
Mahmood H, Saberi O, Japar Sidik B, Misri K (2008). Net primary productivity of Bruguiera parviflora (Wight and Arn.) dominated mangrove forest at Kuala Selangor, Malaysia. Forest Ecology and Management 255: 179-182.
CrossRef | Gscholar
Mahmood H, Saberi O, Misri K, Japar Sidik B (2006). Seasonal variation in concentrations of N, P and K in different components of Bruguiera parviflora (Wight and Arnold) at three growth stages in Malaysia. Indian Journal of Forestry 29 (2): 149-155.
Mahmood H, Saha S, Siddique MRH, Hasan MN (2014a). Salinity stress on growth, nutrients and carbon distribution in seedlings parts of Heritiera fomes. International Journal of Environmental Engineering 1 (4): 71-77.
Online | Gscholar
Mahmood H, Saha S, Serajis S, Siddique MRH, Abdullah SMR (2014b). Salinity influence on germination of four important mangrove species of the Sundarbans, Bangladesh. Agriculture and Forestry 60 (2): 125-135.
Online | Gscholar
Marschner H (1995). Functions of mineral nutrients: macronutrients. In: “Mineral Nutrition of Higher Plants (2nd edn)”. Academic Press, New York, USA, pp. 299-312.
CrossRef | Gscholar
Munns R (1992). A leaf elongation assay detects an unknown growth inhibitor in xylem sap from wheat and barley. Functional Plant Biology 19 (2): 127-135.
Online | Gscholar
Munns R, Tester M (2008). Mechanisms of salinity tolerance. Annual Review of Plant Biology 59: 651-681.
CrossRef | Gscholar
Nandy P, Das S, Ghose M, Spooner-Hart R (2007). Effects of salinity on photosynthesis, leaf anatomy, ion accumulation and photosynthetic nitrogen use efficiency in five Indian mangroves. Wetland Ecology and Management 15 (4): 347-357.
CrossRef | Gscholar
Nguyen HT, Stanton DE, Schmitz N, Farquhar GD, Ball MC (2015). Growth responses of the mangrove Avicennia marina to salinity: development and function of shoot hydraulic systems require saline conditions. Annals of Botany 115 (3): 397-407.
CrossRef | Gscholar
Olsen SR, Sommers LE (1982). Phosphorus. In: “Methods of soil analysis. Part 2, Agronomy Monograph 9 (2nd edn)” (Page AL, Keeney DR, Baker DE, Miller RH, Ellis R, Rhoades JD eds). ASA and ASSA, Madison, USA. pp. 403-430.
Paliyavuth C, Clough B, Patanaponpaiboon P (2004). Salt uptake and shoot water relations in mangroves. Aquatic Botany 78 (4): 349-360.
CrossRef | Gscholar
Parida AK, Das AB (2005). Salt tolerance and salinity effects on plants: a review. Ecotoxicology and Environmental Safety 60 (3): 324-349.
CrossRef | Gscholar
Patel NT, Gupta A, Pandey AN (2010). Strong positive growth responses to salinity by Ceriops tagal, a commonly occurring mangrove of the Gujarat coast of India. AoB PLANTS 2010: plq011.
CrossRef | Gscholar
Reef R, Lovelock CE (2015). Regulation of water balance in mangroves. Annals of Botany 115 (3): 385-395.
CrossRef | Gscholar
Reich PB, Uhl C, Walters MB, Ellsworth DS (1991). Leaf lifespan as a determinant of leaf structure and function among 23 Amazonian tree species. Oecology 86 (1): 16-24.
CrossRef | Gscholar
Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, Preibisch S, Rueden C, Saalfeld S, Schmid B, Tinevez JY (2012). Fiji: an open-source platform for biological-image analysis. Nature Methods 9 (7): 676-682.
CrossRef | Gscholar
Siddiqi NA (2001). Mangrove forestry in Bangladesh. Institute of Forestry and Environmental Sciences, University of Chittagong, Chittagong, Bangladesh, pp. 201.
Suárez N, Medina E (2005). Salinity effect on plant growth and leaf demography of the mangrove, Avicennia germinans L. Trees 19 (6): 722-728.
CrossRef | Gscholar
Taffouo VD, Braconnier S, Kenn M, Din N, Priso JR, Djiotie NL, Ako A (2008). Physiological and agronomical characteristics in Citrullus lanatus (Thumberg) mansfeld, Cucurbita moschata (Duchesne ex lam) and Lagenaria siceraria (Molina) stand under salt stress. African Crop Science and Society 8: 489-494.
Wei W, Bilsborrow PE, Hooley P, Fincham DA, Lombi E, Forster BP (2003). Salinity induced differences in growth, ion distribution and partitioning in barley between the cultivar Maythorpe and its derived mutant Golden Promise. Plant and Soil 250 (2): 183-191.
CrossRef | Gscholar
Ye Y, Tam NFY, Lu CY, Wong YS (2005). Effects of salinity on germination, seedling growth and physiology of three salt-secreting mangrove species. Aquatic Botany 83 (3): 193-205.
CrossRef | Gscholar

Authors’ Affiliation

Mohammad Raqibul Hasan Siddique
Serajis Salekin
Hossain Mahmood
Forestry and Wood Technology Discipline, Khulna University, Khulna 9208 (Bangladesh)
Sanjoy Saha
Centre for Integrated Studies on the Sundarbans, Khulna University, Khulna 9208 (Bangladesh)

Corresponding author

Hossain Mahmood


Siddique MRH, Saha S, Salekin S, Mahmood H (2017). Salinity strongly drives the survival, growth, leaf demography, and nutrient partitioning in seedlings of Xylocarpus granatum J. König. iForest 10: 851-856. - doi: 10.3832/ifor2382-010

Academic Editor

Claudia Cocozza

Paper history

Received: Jan 31, 2017
Accepted: Jul 17, 2017

First online: Oct 26, 2017
Publication Date: Oct 31, 2017
Publication Time: 3.37 months

© SISEF - The Italian Society of Silviculture and Forest Ecology 2017

  Open Access

This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Creative Commons Licence

Breakdown by View Type

(Waiting for server response...)

Article Usage

Total Article Views: 41447
(from publication date up to now)

Breakdown by View Type
HTML Page Views: 34668
Abstract Page Views: 2144
PDF Downloads: 3830
Citation/Reference Downloads: 18
XML Downloads: 787

Web Metrics
Days since publication: 2427
Overall contacts: 41447
Avg. contacts per week: 119.54

Article citations are based on data periodically collected from the Clarivate Web of Science web site
(last update: Feb 2023)

Total number of cites (since 2017): 11
Average cites per year: 1.57


Publication Metrics

by Dimensions ©

List of the papers citing this article based on CrossRef Cited-by.


iForest Similar Articles


This website uses cookies to ensure you get the best experience on our website. More info