INTRODUCTION
Mangroves, woody plants inhabiting the interface between land and sea in tropical and subtropical regions (Chapman 1976) in more than 100 countries, cover more than 81 million ha worldwide (Hamilton and Casey 2016). They provide many ecological services, acting as nursery grounds, a thermal refuge from ocean warming and a foraging habitat for biota (Mumby et al. 2004, Giomi et al. 2019, Macreadie et al. 2019). In the last two decades, there has been a drastic decrease in mangrove cover of up to 20% globally and 50% in Southeast Asia, mainly because of massive urban development and increased land usage for aquaculture purposes (Thomas et al. 2017). One of the few exceptions to this declining trend is the Red Sea coast of Saudi Arabia, wherein mangrove cover has been increasing, mainly thanks to a series of replantation programmes (Almahasheer et al. 2016a). The diversity of mangroves in the Red Sea is limited to two species, Avicennia marina and Rhizophora mucronata, the former of which shows the widest distribution (Price et al. 2007). This low diversity of mangrove species in the region is likely driven by the extreme environmental conditions, including high temperature, high salinity and ultra-oligotrophy of the ambient seawater and the sediments (Garcias-Bonet et al. 2019, Saderne et al. 2019, Anton et al. 2020), all of which can limit mangrove survival, growth and height (Bernstein and Hayward 1958, Clarke and Hannon 1970, Burchett et al. 1984).
Mangrove seedlings are influenced by the available nutrient supply and oxygenation at the root level (Ball 1988a, Krauss et al. 2006). Concomitantly, mechanical factors such as burrows by crabs, mainly of the orders Sesarmidae and Oocypodidae (Lee 1999, Kristensen 2008), have been shown to promote seedling growth by increasing soil aeration and nutrient-holding capacity (Ridd 1996, Lee 1998, Gribsholt et al. 2003). Tidal inundation, which promotes root ventilation and nutrient availability (Ball 1988a, Krauss et al. 2006), is also a critical factor for the growth and survival of mangrove seedlings (Smith 1987). In fact, the structuring of species zonation with diverse mangrove communities is attributed to this mechanical process (Krauss et al. 2006). However, despite its significance, studies on the influence of tidal inundation in the early development of mangroves are few, both in situ in the field and under laboratory conditions (Krauss et al. 2006), and no studies have been performed to date in the Red Sea. Thus, the influence of tidal flooding on seedling growth in this region merits further investigation.
The effect of sandstorms on the growth and survival of mangrove seedlings has as yet received very little attention (Tamaei 2005), despite the negative consequences that have been shown for mangrove seedling survival, growth and tree species richness as a result of varying exposure to burial and soil accretion (Ellison 1999, Thampanya et al. 2002). In the Arabian Peninsula, sandstorms occur naturally and frequently, and one study indicates negative effects (e.g. mortality) of a sandstorm on the grey mangrove A. marina (Tamaei 2005). In contrast, some mangrove species are able to develop morpho-anatomical adaptations that enhance life recovery after burial exposure (Okello et al. 2020). In addition, a recent study (Cusack et al. 2020) identified that dust particles in the Red Sea were enriched in iron and phosphorus, which may provide a vital source for oligotrophic coastal mangrove stands in the Red Sea (Anton et al. 2020).
To the best of our knowledge, the only study that has been conducted so far on mangrove seedling growth on the Red Sea coasts is a laboratory study that found that the growth of mangroves in the central Red Sea is likely driven by iron limitation (Almahasheer et al. 2016b). In addition, Anton et al. (2020) indicated that the short height of adult A. marina trees in the central Red Sea is likely driven by nitrogen limitation in the area. The scant information on natural mangrove habitats in the Red Sea, especially at early stages, led us to carry out this study, in which we estimated in situ growth rate of A. marina seedlings in a relatively pristine environment in the region of Baish, Jizan, in the southern Saudi Arabian Red Sea, in relation to tidal flooding intensity and sandstorms. Specifically, this study aimed to (1) estimate and compare the seedling growth rate at different tidal exposures and in different sampling periods, and (2) investigate the effects of burial (e.g. during a sandstorm) on the early development of mangrove trees.
MATERIALS AND METHODS
Study site
The mangrove stands in the northern region of the semi-enclosed bay at Baish in the southern Red Sea (Saudi Arabia, coordinates 17.34904°N 42.32134°E; Fig. 1) have been relatively unaffected by human activities. The environment in this area is hot and arid, and dead and desiccated mangroves are commonly found adjacent to the northernmost part of the mangrove forest. This area experiences a natural gradient of tidal inundation, which is generally lower than in other parts of the bay because of its proximity to the northernmost portion (Fig. 1). The northern easterly winds expose the site to wind stress and dust deposition. Rainfall rarely occurs in the area and is usually associated with thunderstorms. Sandstorms are common in the area particularly in summer (Arishi 2021). Sabkhas (or supra-tidal flats) are found north of the site and are composed mainly of sand and mud. Seawater temperature and salinity in the study site during the study period ranged from 35°C to 37°C and 46.9 to 53.01, respectively.
medium/medium-SCIMAR-86-03-e041-gf1.png
[Figure omitted. Please see PDF.]
Data from March to September 2019 within the vicinity of the mangrove site suggested that the mean atmospheric temperature was 38.1°C, with values ranging from 31.7°C (March) to 42.5°C (June); mean relative humidity was 88.1%, with values ranging from 85.2% (March) to 97.2% (August); mean precipitation was 29.2 mm, with values ranging from 0 to 360.6 mm (August).
Data collection
The study site was subdivided into four distinct ecological zones based on qualitative observations of tidal exposure and fiddler crab burrow density: namely, Z1, low tidal exposure; Z2, medium tidal exposure; Z3, high tidal exposure with numerous crab burrows; and Z4, high tidal exposure with a few or no crab burrows (Fig. 1). The zones were qualitatively classified by tidal exposure based on their distance to the nearest tidal inundation and the observed number of fiddler crab burrows. The only vegetation on the site is the grey mangrove A. marina. The qualitative characteristics of the sediment varied across zones from sand (Z1), to sandy-muddy (Z2, Z3 and Z4).
Newly sprouted and naturally grown seedlings of A. marina from these zones, encompassing 30 sampling locations, were randomly chosen and identified with wooden markers (see Fig. 2), and all seedlings were considered for measurements. Seedling height was measured from the soil surface to the tip of the seedling for all samples (n=53) using a plastic ruler to the nearest centimetre. The study was conducted over a period of three months in the summer of 2017, from 28 April to 27 July. Measurements of seedling height and survival were performed on days 0, 14, 30, 38 and 88.
medium/medium-SCIMAR-86-03-e041-gf2.png
[Figure omitted. Please see PDF.]
Measurements of air temperature, relative humidity, wind speed and direction, and dust concentration suspended in the air were conducted on a weekly basis at a permanent station close to the mangroves (Fig. 1). Estimates of weather conditions such as dry bulb temperature (T, °C), relative humidity (RH, %), and wind speed (WS, m s-1) and direction were recorded using a Kestrel 4500 Pocket Weather Tracker. The wind direction was identified in degrees (°) measured from the north clockwise. Estimates of dust particle concentration (PM10 and PM2.5) were obtained using a portable dust monitor (PC-3016A) from a fixed station with a dust meter installed near the mangrove forest (17.336617°N, 42.330517°E) at a height of approximately 1.5 m.
Data analysis
An increase in seedling height between sampling periods was used to calculate growth rates. One-way analysis of variance (ANOVA) was used to test the significance of different growth rates between the four zones across measurement periods (days 14, 30, 38, 88), survival rate and the selected environmental variables. The growth rate was calculated by the absolute difference of two height measurements divided by the number of days between two height measurements. Prior to ANOVA, data were examined for normality and homogeneity of variance. Statistical differences between specific zones and sampling periods were assessed using a Tukey post hoc test.
RESULTS
Table 1 shows the increment (cm), duration (d), growth rate (cm d-1) and location of mangrove seedlings. Site Z3 showed the highest growth rate (0.34 cm d-1), followed by Z4 (0.23 cm d-1), Z2 (0.12 cm d-1) and Z1 (0.01 cm d-1) (Fig. 2A). Sampling zones differed significantly in growth rates (Table 2). Values at Z3 were significantly higher than at Z1 and Z2, but not from those at Z4 (Fig. 2A). Also, values at Z4 were significantly higher than those at Z1 and Z2 (Fig. 2A). Seedling growth rates showed a decreasing trend over time and were significantly different between sampling periods (Table 2) (Fig. 2B). The growth rate of day 14 (0.38 cm d-1) was significantly different from that of days 30 (0.17 cm d-1), 38 (0.1 cm d-1) and 88 (0.03 cm d-1) (p<0.05) (Fig. 2B). Furthermore, the survival rate showed a slight reduction from day 14 to day 38 but a significant reduction on day 88 (Fig. 2C, Table 2). The only seedling survivors were from Z3 (Fig. 3C) with a total of 5.6% (n=3) left from the initial samples. The significant decrease in survival was attributed to burial by sandstorm (Fig. 4).
Table 1. - Growth measurements, increments (cm), total days of alive seedlings (day, d), growth rate (cm d-1) and location of mangrove seedlings examined in Baish, Jizan, Saudi Arabia (Red Sea). ND, not determined; *, not measured; D, dead; B, buried.
Shoot height (cm) | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Zone | Seedling | Latitude | Longitude | 28-Apr-17 | 12-May-17 | 28-May-17 | 5-Jun-17 | 27-Jul-17 | Increment (cm) | Total days of alive seedlings (d) | Growth rate (cm d-1) |
4 | 1A | 17.34905 | 42.32116 | 17 | 21.5 | 22 | 23.8 | B | 6.8 | 36 | 0.19 |
4 | 1B | 17.34905 | 42.32116 | 18.1 | 22.5 | 23.8 | 25.8 | B | 7.7 | 36 | 0.21 |
4 | 2A | 17.34906 | 42.32118 | 9.5 | 16.2 | 18.7 | 19.5 | B | 10.0 | 36 | 0.28 |
4 | 2B | 17.34906 | 42.32118 | 10.7 | 18.4 | 20.7 | 20.8 | B | 10.1 | 36 | 0.28 |
4 | 2C | 17.34906 | 42.32118 | 11.2 | 20.7 | 24 | 25 | B | 13.8 | 36 | 0.38 |
4 | 2D | 17.34906 | 42.32118 | 13 | 21.9 | 27 | 28 | B | 15.0 | 36 | 0.42 |
3 | 3 | 17.34904 | 42.32134 | 12.8 | 15.5 | 18.1 | 19.5 | B | 6.7 | 36 | 0.19 |
4 | 4A | 17.34902 | 42.32122 | 5.8 | 13 | 14.5 | 16.2 | B | 10.4 | 36 | 0.29 |
4 | 4B | 17.34902 | 42.32122 | 8.3 | 13 | 16.5 | 17.2 | B | 8.9 | 36 | 0.25 |
4 | 4C | 17.34902 | 42.32122 | 8.5 | 14.4 | 16.5 | 17.5 | B | 9.0 | 36 | 0.25 |
4 | 4D | 17.34902 | 42.32122 | 9.6 | 15.6 | 17.5 | 18.3 | B | 8.7 | 36 | 0.24 |
4 | 4E | 17.34902 | 42.32122 | 11.6 | 16.3 | 21 | 21.1 | B | 9.5 | 36 | 0.26 |
4 | 5 | 17.34902 | 42.32122 | 10.5 | 16.5 | 19 | 20.1 | B | 9.6 | 36 | 0.27 |
4 | 6A | 17.34904 | 42.32119 | 8.5 | 7.5 | 10 | 10.5 | B | 2.0 | 36 | 0.06 |
4 | 6B | 17.34904 | 42.32119 | * | 9.5 | 10 | 10.5 | B | 1.0 | 22 | 0.05 |
4 | 6C | 17.34904 | 42.32119 | * | 10 | 13.5 | 14.6 | B | 4.6 | 22 | 0.21 |
4 | 7 | 17.34899 | 42.32122 | 8.5 | 11.6 | 12.2 | 12.2 | B | 3.7 | 36 | 0.10 |
4 | 8A | 17.34897 | 42.32124 | 6.1 | 9.8 | 14.8 | 15.5 | B | 9.4 | 36 | 0.26 |
4 | 8B | 17.34897 | 42.32124 | 6.5 | 12.3 | 15.5 | 16.3 | B | 9.8 | 36 | 0.27 |
4 | 8C | 17.34897 | 42.32124 | 10.6 | 19.4 | 27.5 | 29 | B | 18.4 | 36 | 0.51 |
4 | 9A | 17.34896 | 42.32124 | 4.5 | 9.1 | 9 | 9.5 | B | 5.0 | 36 | 0.14 |
4 | 9B | 17.34896 | 42.32124 | 6.7 | 9.7 | 11.5 | 11.7 | B | 5.0 | 36 | 0.14 |
4 | 9C | 17.34896 | 42.32124 | 13.5 | 19.5 | 19.7 | 20.5 | B | 7.0 | 36 | 0.19 |
4 | 10A | 17.34896 | 42.32126 | 10 | 12.9 | 15.4 | 15.5 | B | 5.5 | 36 | 0.15 |
4 | 10B | 17.34896 | 42.32126 | 11.4 | 16.6 | 20.5 | 21 | B | 9.6 | 36 | 0.27 |
4 | 10C | 17.34896 | 42.32126 | 13 | 17.4 | 21 | 22.5 | B | 9.5 | 36 | 0.26 |
2 | 11 | 17.34936 | 42.32137 | 13 | 10.7 | 16.7 | 17.6 | B | 4.6 | 36 | 0.13 |
2 | 12 | 17.34926 | 42.32139 | 8 | 13.8 | 15.5 | 16.2 | B | 8.2 | 36 | 0.23 |
2 | 13 | 17.3214 | 42.32141 | 18 | 18.5 | 18.2 | 18 | B | 0.0 | 36 | 0.00 |
2 | 14 | 17.34928 | 42.3214 | 15 | 21 | 24.7 | 25.5 | B | 10.5 | 36 | 0.29 |
2 | 15 | 17.34936 | 42.32137 | * | 12 | 16 | 17 | B | 5.0 | 22 | 0.23 |
1 | 16A | 17.3498 | 42.32119 | 19.3 | 19.3 | 16.2 | D | B | -3.1 | 28 | -0.11 |
1 | 16B | 17.3498 | 42.32119 | 20 | 21 | 21 | 21.1 | B | 1.1 | 36 | 0.03 |
2 | 17A | 17.34927 | 42.32139 | 7 | 9.8 | 11.2 | 11 | B | 4.0 | 36 | 0.11 |
2 | 17B | 17.34927 | 42.32139 | 17.5 | 17.8 | 17.5 | 17.5 | B | 0.0 | 36 | 0.00 |
1 | 18 | 17.34982 | 42.32122 | 15 | 16 | 16 | 16.2 | B | 1.2 | 36 | 0.03 |
1 | 19 | 17.34945 | 42.32122 | 16.5 | 17.3 | 17.3 | 17 | B | 0.5 | 36 | 0.01 |
1 | 20A | 17.34984 | 42.32122 | 7.9 | 8.5 | * | 8.7 | B | 0.8 | 22 | 0.04 |
1 | 20B | 17.34984 | 42.32122 | 10.5 | 10.5 | * | 10.3 | B | -0.2 | 22 | -0.01 |
1 | 20C | 17.34984 | 42.32122 | 22.2 | 22.5 | * | 22.5 | B | 0.3 | 22 | 0.01 |
1 | 20D | 17.34984 | 42.32122 | 27 | 27 | * | 27.2 | B | 0.2 | 22 | 0.01 |
4 | 21 | 17.34893 | 42.32122 | 14 | 17.7 | 20.5 | 21.3 | B | 7.3 | 36 | 0.20 |
22 | 17.34958 | 42.32107 | 6.4 | 6.8 | 6.8 | D | B | 0.4 | 28 | 0.01 | |
3 | 23 | 17.34894 | 42.32132 | 15.5 | 24.7 | 27 | 27.5 | B | 12.0 | 36 | 0.33 |
3 | 24 | 17.34899 | 42.32136 | * | * | 30.5 | 36 | 42.0 | 5.5 | 52 | 0.11 |
3 | 25 | 17.34893 | 42.32137 | 13.7 | 18.7 | 24 | 26 | 27.6 | 12.3 | 88 | 0.14 |
4 | 26A | 17.34906 | 42.32109 | 3.5 | 5 | D | D | B | 1.5 | 14 | 0.11 |
4 | 26B | 17.34906 | 42.32109 | 5 | * | D | D | B | * | 0 | 0.00 |
4 | 26C | 17.34906 | 42.32109 | 6 | * | D | D | B | * | 0 | 0.00 |
3 | 27 | 17.34894 | 42.32133 | 7 | 19.5 | 24.8 | 27 | 24.2 | 20.0 | 88 | 0.23 |
28 | 17.34928 | 42.32101 | 7 | 9 | D | D | B | 2.0 | 14 | 0.14 | |
1 | 29 | ND | ND | * | 6 | 6.4 | 6.3 | B | 0.3 | 22 | 0.01 |
1 | 30 | 17.34983 | 42.32121 | 5.5 | 4 | 4 | D | B | -1.5 | 28 | -0.05 |
Table 2. - One-way analysis of variance of the selected environmental variables.
Variables | Sum of squares | df | Mean square | F | Sig. | |
---|---|---|---|---|---|---|
Growth rate by zone | Between groups | 0.37205 | 3 | 0.124018 | 14.11 | 0.0000027 |
Within groups | 0.32519 | 37 | 0.008789 | |||
Total | 22212.7 | 15 | ||||
Growth rate by period* | Between groups | 0.96665 | 2 | 0.48332 | 32.52 | 0.0000 |
Within groups | 1.02558 | 0.01486 | ||||
Total | 1.99222 | |||||
Survival rate (%) | Between groups | 19064.1475 | 3 | 6354.72 | 24.2199 | 0.000022 |
Within groups | 3148.51 | 12 | 262.38 | |||
Total | 22212.66 | |||||
Temperature (°C) | Between groups | 17.55 | 3 | 5.85 | 1.801 | 0.201 |
Within groups | 38.99 | 12 | 3.25 | |||
Total | 56.54 | 15 | ||||
Relative humidity (%) | Between groups | 513.34 | 3 | 171.11 | 1.664 | 0.227 |
Within groups | 1233.99 | 12 | 102.83 | |||
Total | 1747.32 | 15 | ||||
Wind speed (m s-1) | Between groups | 2.92 | 3 | 0.97 | 0.917 | 0.462 |
Within groups | 12.75 | 12 | 1.06 | |||
Total | 15.67 | 15 | ||||
Wind direction (degrees) | Between groups | 6075.50 | 3 | 2025.17 | 0.989 | 0.431 |
Within groups | 24576.50 | 12 | 2048.04 | |||
Total | 30652.00 | 15 | ||||
PM2.5 (µg m-3) | Between groups | 12013.70 | 3 | 4004.57 | 2.71 | 0.092 |
Within groups | 17733.45 | 12 | 1477.79 | |||
Total | 29747.15 | 15 | ||||
PM10 (µg m-3) | Between groups | 116843.45 | 3 | 38947.82 | 2.446 | 0.114 |
Within groups | 191097.03 | 12 | 15924.75 | |||
Total | 307940.48 | 15 |
* Adjusted sum of squares for tests
medium/medium-SCIMAR-86-03-e041-gf3.png
[Figure omitted. Please see PDF.]
medium/medium-SCIMAR-86-03-e041-gf4.png
[Figure omitted. Please see PDF.]
Air temperature showed an increasing trend from May to July, rising by 2.4°C (Fig. 3A). By contrast, relative humidity showed a decreasing trend from May to July (Fig. 3B). Wind speed seemingly displayed an indistinguishable pattern, although the highest value was recorded in June (Fig. 3C). The wind consistently blows between 200° and 250° from the north (Fig. 3D). No sandstorms generally occurred between April and June, but they showed a marked increase in July (Fig. 3E, F). All the selected environmental variables showed no significant differences between sampling periods (Table 2).
DISCUSSION
Our study highlights significant aspects of the growth dynamics and fate of mangrove Avicennia marina seedlings, using in situ field observations in a pristine mangrove forest in the southern Red Sea of Saudi Arabia. We showed that increased exposure of seedlings to tidal inundation could increase growth performance, while a cumulative exposure of seedlings to an intense sandstorm can have a detrimental effect on their survival by burial.
The variation of seedling growth rates can be attributed to the differences in exposure to tidal inundation. This variation can be explained by (1) water and nutrient supply, (2) air temperature and (3) salinity. Firstly, tidal inundation increases water supply and enhances soil moisture and water absorption, which the seedlings need for their growth, especially in an arid environment (Bernstein and Hayward 1958, Ball 1988b). In addition, the availability of nutrients carried by the tide could be a necessary factor for seedling growth owing to the oligotrophic condition of the Red Sea (Almahasheer et al. 2016b, Anton et al. 2020). Secondly, low tidal exposure and increasing air temperature probably act towards seedling dehydration, as likely happened at Z1 (Hastenrath and Lamb 1979, Clough 1992, Rasul et al. 2015). For example, the negative growth rate observed in seedlings 16A, 20B and 30 (Table 1), which all belonged to Z1, may be attributed to dehydration resulting in the bending of the overall structure of the plant. Lastly, lower tidal inundation increases the exposure of the seedlings to high evaporation, which may tend to increase soil salinity owing to a reduced water volume and dilution. Higher salinity may force seedlings to undergo physiological stress, which could affect their optimal growth (Clarke and Hannon 1970, Burchett et al. 1984, Kraus et al. 2006).
Sandstorms are an environmental stressor for the mangrove seedlings, affecting the survival of the plant through burial (Balke et al. 2011). The present study warrants their inclusion in the list of previously identified natural stressors of mangroves in the Red Sea. Indeed, it has been shown that the deposition of sand results in intense burial and consequent suffocation of mangrove seedlings, probably leading to stunted growth and/or mortality (Ellison 1999). Accordingly, Tamaei (2005) enumerated sandstorms and sand accumulation as one of the leading causes of mangrove A. marina seedling mortality. We observed a decreasing seedling growth rate that aligned with increasing sandstorms during the course of our investigation. Since seedlings exhibit a premature root system that does not provide a strong anchorage to the ground, they are likely vulnerable to physiological stress caused by the combination of sandstorms and strong winds (Balke et al. 2011).
The higher seedling growth rate between sites Z3 and Z4 can be explained by the observed presence of burrows. Burrowing crabs may increase seedling growth by enhancing aeration of the soil (Lee 1998, Smith et al. 1991). Burrowing also creates networks for water flow below the surface, allowing diffusion of nutrients and oxygen across a swamp-bed interface (Ridd 1996). Smith et al. (2009) found that the burrowing of fiddler crabs enhances mangrove height by 27%. In our study, we found no significant differences that were due to the presence/absence of borrows, perhaps because the number of burrows at Z3 (high tidal exposure with numerous crab burrows) did not reach the minimum threshold for the burrows to make a difference in seedling growth. Unfortunately, our empirical approach was qualitative, as we did not quantify the number of burrows at Z3 and Z4, and further investigation is warranted.
The survival of Z3 seedlings could be attributed to the fact that existing mangrove trees act as a buffer against sediment resuspension and deposition caused by strong winds. The wind direction was generally 200° to 250° from the north, and all three zones except Z3 were exposed. Also, the exposure of Z3 seedlings to tidal inundation could also help reduce the impact of sediment burial by washing off the settling sediments into the seawater, especially during flood tide.
CONCLUSION
After a brief field exploration of seedlings in situ in the arid environment in the southern Red Sea, we observed that there was a correlation between growth of the seedlings and their location and growth period (age). The differences in seedling growth according to location were likely related to exposure to tidal inundation (i.e. higher growth with higher exposure to tidal inundation). On the other hand, the differences in seedling growth according to age, which showed a decreasing trend over the course of the study, could be related to their prolonged exposure to high air temperature, humidity and salinity. Interestingly, the severe decrease in survival of the seedlings in this area coincided with exposure to strong winds, sandstorms and dust deposition. These climatic conditions together resulted in a massive burial of the seedlings, which can be considered an important natural stressor in this area.
Therefore, while tidal exposure is important for the management of A. marina seedlings in arid regions such as that in the study area, the consideration of the above factors is crucial, especially for devising strategies for effective restoration and conservation of mangroves.
DECLARATION OF INTEREST
The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this article.
ACKNOWLEDGEMENTS
The authors are thankful to the Research Institute - Center for Environment and Water, King Fahd University of Petroleum and Minerals for providing us with meteorological data. This research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.
Almahasheer H., Aljowair A., Duarte C.M., Irigoien X. 2016a. Decadal stability of Red Sea mangroves. Estuar. Coast. Shelf. Sci. 169: 164-172. https://doi.org/10.1016/j.ecss.2015.11.027
Almahasheer H., Duarte C.M., Irigoien X. 2016b. Nutrient limitation in central Red Sea mangroves. Front. Mar. Sci. 3: 271. https://doi.org/10.3389/fmars.2016.00271
Arishi A.A. 2021. Classification of Sandstorms in Saudi Arabia. Atmos. Clim. Sci. 11: 177-193. https://doi.org/10.4236/acs.2021.111012
Anton A., Almahasheer H., Delgado A., et al. 2020. Stunted Mangrove Trees in the Oligotrophic Central Red Sea Relate to Nitrogen Limitation. Front. Mar. Sci. 7: 597. https://doi.org/10.3389/fmars.2020.00597
Balke T., Bouma T.J., Horstman E.M., et al. 2011. Windows of opportunity: thresholds to mangrove seedling establishment on tidal flats. Mar. Ecol. Prog. Ser. 440: 1-9. https://doi.org/10.3354/meps09364
Ball M.C. 1988a. Ecophysiology of mangroves. Trees 2: 129-142. https://doi.org/10.1007/BF00196018
Ball M.C. 1988b. Salinity tolerance in the mangroves Aegiceras corniculatum and Avicennia marina. I. Water use in relation to growth, carbon partitioning, and salt balance. Aust. J. Plant Physiol. 15: 447-464. https://doi.org/10.1071/PP9880447
Bernstein L., Hayward H.E. 1958. Physiology of salt tolerance. Annu. Rev. Plant Physiol. 9: 25-46. https://doi.org/10.1146/annurev.pp.09.060158.000325
Burchett M.D., Field C.D., Pulkownik A. 1984. Salinity, growth and root respiration in the grey mangrove, Avicennia marina. Physiol. Plant. 60: 113-118. https://doi.org/10.1111/j.1399-3054.1984.tb04549.x
Chapman V.J. 1976. Mangrove Vegetation. J. Cramer, Vaduz, Germany.
Clarke L., Hannon N. 1970. The Mangrove Swamp and Salt Marsh Communities of the Sydney District: III. Plant Growth in Relation to Salinity and Waterlogging. J. Ecol. 58: 351-369. https://doi.org/10.2307/2258276
Clough B. E. 1992. Primary productivity and the growth of mangrove forests. In: Robertson A.I., Alongi D.M. (eds), Tropical Mangrove Ecosystems, pp. 225-250. American Geophysical Society, Washington DC, USA.
Cusack M., Arrieta J.M., Duarte C.M. 2020. Source Apportionment and Elemental Composition of Atmospheric Total Suspended Particulates (TSP) Over the Red Sea Coast of Saudi Arabia. Earth Syst. Environ. 4: 777-788. https://doi.org/10.1007/s41748-020-00189-z
Ellison J.C. 1999. Impacts of sediment burial on mangroves. Mar. Pollut. Bull. 37: 420-426. https://doi.org/10.1016/S0025-326X(98)00122-2
Garcias-Bonet N., Delgado-Huertas A., Carillo-de-Albornoz P., et al. 2019. Carbon and Nitrogen Concentrations, Stocks, and Isotopic Compositions in Red Sea Seagrass and Mangrove Sediments. Front. Mar. Sci. 6: 267. https://doi.org/10.3389/fmars.2019.00267
Giomi F., Barausse A., Duarte C. M., et al. 2019. Oxygen supersaturation protects coastal marine fauna from ocean warming. Sci. Adv. 5: eaax1814. https://doi.org/10.1126/sciadv.aax1814
Gribsholt B.G., Kostka J.E., Kristensen E. 2003. Impact of fiddler crabs and plant roots on sediment biogeochemistry in a Georgia saltmarsh. Mar. Ecol. Prog. 259: 237-251. https://doi.org/10.3354/meps259237
Hamilton S. E., Casey D. 2016. Creation of a high spatio-temporal resolution global database of continuous mangrove forest cover for the 21st century (CGMFC-21). Glob. Ecol. Biogeogr. 25: 729-738. https://doi.org/10.1111/geb.12449
Hastenrath S., Lamb P.J. 1979. Climatic Atlas of the Indian Ocean, part 2. The ocean heat budget. University of Wisconsin Press, Madison.
Krauss K.W., Lovelock C.E., McKee K.L., et al. 2006. Environmental drivers in mangrove establishment and early development: A review. Aquat. Bot. 89: 105-127. https://doi.org/10.1016/j.aquabot.2007.12.014
Kristensen E. 2008. Mangrove crabs as ecosystem engineers; with emphasis on sediment processes. J. Sea Res. 59: 30-43. https://doi.org/10.1016/j.seares.2007.05.004
Lee S.Y. 1998. Ecological role of grapsid crabs in mangrove ecosystems: a review. Mar. Freshw. Res. 49: 335-343. https://doi.org/10.1071/MF97179
Lee S.Y. 1999. Tropical mangrove ecology: Physical and biotic factors influencing ecosystem structure and function. Austral Ecol. 24: 355-366. https://doi.org/10.1046/j.1442-9993.1999.00984.x
Macreadie P. I., Anton A., Raven J. A., et al. 2019. The future of Blue Carbon science. Nat. Commun. 10: 3998. https://doi.org/10.1038/s41467-019-11693-w
Mumby P.J., Edwards A.J., Arias-González J.E., et al. 2004. Mangrove enhance the biomass of coral reef fish communities in the Caribbean. Nature 427: 533-536. https://doi.org/10.1038/nature02286
Okello J.A., Kairo J.G., Dahdouh-Guebas F., et al. 2020. Mangrove trees survive partial sediment burial by developing new roots and adapting their roots, branch and stem anatomy. Trees 34: 37-49. https://doi.org/10.1007/s00468-019-01895-6
Price A.R.G., Medley P.A.H., McDowall R.J., et al. 2007. Aspects of mangal ecology along the Red Sea coast of Saudi Arabia. J. Nat. Hist. 21: 449-464. https://doi.org/10.1080/00222938700771121
Rasul N.M.A., Stewart I.C.F., Nawab Z.A. 2015.Introduction to the Red Sea: Its Origin, Structure and Environment. In: Rasul N.M.A., Stewart I.C.F. (eds), The Red Sea. Springer Earth Syst. Sci. https://doi.org/10.1007/978-3-662-45201-1
Ridd P.V. 1996. Flow through animal burrows in mangrove creeks. Estuar. Coast. Shelf Sci. 43: 617-625. https://doi.org/10.1006/ecss.1996.0091
Saderne V., Baldry K., Anton A., et al. 2019. Characterization of the CO2 System in a Coral Reef, a Seagrass Meadow, and a Mangrove Forest in the Central Red Sea. J. Geophys. Res. Oceans 124: 7513- 7528. https://doi.org/10.1029/2019JC015266
Smith T.J. 1987. Effects of light and intertidal position on seedling survival and growth in tropical tidal forests. J. Exp. Mar. Biol. Ecol. 110: 133-146. https://doi.org/10.1016/0022-0981(87)90024-4
Smith T.J., Boto K.G., Frusher S.D., Giddins R.L. 1991. Keystone species and mangrove forest dynamics: the influence of burrowing by crabs on soil nutrient status and forest productivity. Estuar. Coast. Shelf Sci. 33: 419-432. https://doi.org/10.1016/0272-7714(91)90081-L
Smith N.F., Wilcox C., Lessman J.M. 2009. Fiddler crab burrowing affects growth and production of the white mangrove (Laguncularia racemosa) in a restored Florida coastal marsh. Mar. Biol. 156: 2255-2266. https://doi.org/10.1007/s00227-009-1253-7
Tamaei S. 2005. Study of gray mangrove (Avicennia marina) afforestation for greening of desert coasts: Gray mangrove afforestation on banks of artificial channel across a sabkha and the established biotic community. Jpn. J. Ecol. 55: 1-9.
Thampanya U., Vermaat J.E., Terrados J. 2002. The effect of increasing sediment accretion on the seedlings of three common Thai mangrove species. Aquat. Bot. 74: 315-325. https://doi.org/10.1016/S0304-3770(02)00146-8
Thomas N., Lucas R., Bunting P., et al. 2017. Distribution and drivers of global mangrove forest change, 1996-2010. PLoS ONE 12: e0179302. https://doi.org/10.1371/journal.pone.0179302
Jeff Bogart R. Abrogueña
Environmental Protection and Control Department, Royal Commission for Jubail and Yanbu, Jazan City for Primary and Downstream Industries, Saudi Arabia.
https://orcid.org/0000-0003-1935-1567
Andrea Anton
Global Change Research Group, IMEDEA (CSIC-UIB), Mediterranean Institute for Advanced Studies, 07190, Esporles, Spain.
https://orcid.org/0000-0002-4104-2966
Sau Pinn Woo
Centre for Marine and Coastal Studies (CEMACS), Universiti Sains Malaysia, 11800 USM, Penang, Malaysia.
https://orcid.org/0000-0002-7016-6466
Miguel Baptista
MARE - Marine and Environmental Sciences Centre, Laboratório Marítimo da Guia, Faculdade de Ciências, Universidade de Lisboa, Av. Nossa Senhora do Cabo, 939, 2750-374 Cascais, Portugal.
https://orcid.org/0000-0001-8833-4766
Carlos M. Duarte
Red Sea Research Center, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
https://orcid.org/0000-0002-1213-1361
Syed Azher Hussain
Center for Environment & Water, Research Institute, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia.
https://orcid.org/0000-0002-1386-1091
Mohammed Shoeb
Center for Environment & Water, Research Institute, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia.
https://orcid.org/0000-0002-2840-1813
Mohammed Qurban
National Center for Wildlife, Riyadh, Saudi Arabia.
https://orcid.org/0000-0002-6948-5021
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2022. This work is licensed under https://creativecommons.org/licenses/by/4.0/deed.es (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
Mangroves occur in tropical and subtropical regions, including harsh arid areas. Little is known about how the environmental conditions of deserts influence the ecology of mangrove seedlings. The seedlings of the mangrove Avicennia marina were examined in situ in a natural stand of the southern Red Sea coast of Saudi Arabia to (1) estimate and compare the growth rate of A. marina between selected microhabitats with different tidal exposures, and (2) examine the influence of sandstorms on the growth and survival of the seedlings. Samplings were conducted in four zones established according to their tidal exposure: low tidal exposure (Z1), medium tidal exposure (Z2), high tidal exposure with numerous burrows (Z3), and high tidal exposure with a few or no burrows (Z4). Vertical growth and mortality of the seedlings and selected environmental variables were quantified. The results show that seedling growth rates differed significantly between the sampling zones, the highest growth being found in the high tidal regions (Z3 followed by Z4) and the lowest growth in Z1. Growth rate followed a significant decreasing pattern over time, coinciding with increasing air temperature and decreasing relative humidity. Sandstorms showed a marked increase in July, leading to massive dust deposition that caused extensive mortality of the seedlings by burial. Our study highlights that seedling growth can be affected by the extent of tidal inundation and that sandstorms act as a natural stressor.