Please wait a minute...
Journal of Arid Land  2023, Vol. 15 Issue (11): 1391-1404    DOI: 10.1007/s40333-023-0031-6
Research article     
Effects of dieback on the vegetative, chemical, and physiological status of mangrove forests, Iran
Vahid Farashi KAHNOUJ1, Marzieh REZAI2,*(), Rasool MAHDAVI2, Maryam MOSLEHI3, Saiedeh ESKANDARI4
1Natural Resources Engineering Group, Desert Management and Control, University of Hormozgan, Hormozgan, Bandarabass 7916193145, Iran
2Natural Resources Engineering Group, Faculty of Agriculture and Natural Resources, University of Hormozgan, Hormozgan, Bandarabass 7916193145, Iran
3Research Division of Natural Resources, Hormozgan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Bandarabbas 7915847669, Iran
4Forest Research Division, Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO), Tehran 1496793612, Iran
Download: HTML     PDF(966KB)
Export: BibTeX | EndNote (RIS)      

Abstract  

Mangrove forests are valuable resources in tropical and subtropical regions, which have been faced dieback due to various human activities including rapid expansion of shrimp farming, urban development, and pollution, as well as natural factors such as rising sea level, increasing air temperature, drought, and sharp decrease in rainfall. However, the mechanisms of dieback of mangrove forests are not well understood. Therefore, this research aimed to assess the vegetative, chemical, and physiological status of grey mangrove (Avicennia marina (Forsk.) Vierh.) forests at different intensities of dieback in the Hormozgan Province, Iran. A total of 40 plots categorized into four dieback intensities (severe, medium, low, and control) were randomly selected for monitoring, and various parameters related to vegetative, chemical, and physiological status of grey mangrove forests were examined. The results revealed that the control group had the highest tree density, seedling density, vitality levels, aerial root density, and aerial root height. Generally, as dieback severity increased, a decrease in demographic and vegetative parameters of trees and seedlings was observed in the dieback treatments. The amounts of heavy metals (lead, cadmium, and nickel) in the sediment, roots, and leaves of grey mangrove trees at different dieback levels indicated that lead levels were the highest in the sediment, roots, and leaves in the severe dieback treatment. At the same time, the control had the lowest values. Cadmium concentrations in the sediment followed the pattern of severe dieback>moderate dieback>low dieback>control with no significant differences in the roots and leaves. Nickel amounts in all three parts, i.e., sediment, roots, and leaves showed the highest levels in the severe dieback treatment. Furthermore, metal level analysis in the organs of grey mangrove trees at different dieback levels revealed that lead and nickel were more abundant in the root organ compared with the leaves. In contrast, the leaf organ exhibited the highest cadmium levels. Dieback significantly impacted water electrical conductivity (EC), soil organic carbon (SOC), and chlorophyll a, b, and total chlorophyll contents, with the highest values observed in the severe dieback treatment. However, no significant differences were observed in acidity and carotenoid levels. In conclusion, sediment erosion and heavy metal accumulation were critical contributors to dieback of grey mangrove trees, affecting their physiological, vegetative, and plant production characteristics. As the ability of these plants to rehabilitate has diminished, effective management planning is imperative in dieback-affected areas.



Key wordsAvicennia marina      heavy metal      demographic characteristic      pneumatophores      mangrove forests     
Received: 02 July 2023      Published: 30 November 2023
Corresponding Authors: * Marzieh REZAI (E-mail: m.rezai@hormozgan.ac.ir)
About author: The forth author has the most contribution in this work.
Cite this article:

Vahid Farashi KAHNOUJ, Marzieh REZAI, Rasool MAHDAVI, Maryam MOSLEHI, Saiedeh ESKANDARI. Effects of dieback on the vegetative, chemical, and physiological status of mangrove forests, Iran. Journal of Arid Land, 2023, 15(11): 1391-1404.

URL:

http://jal.xjegi.com/10.1007/s40333-023-0031-6     OR     http://jal.xjegi.com/Y2023/V15/I11/1391

Fig. 1 Different intensities of dieback of grey mangrove trees in the Khor-e-Azini Wetland, Iran. (a), low dieback; (b), medium dieback; (c), severe dieback; (d), control.
Classification Description
Healthy Healthy leaves without any symptoms of disease
Sick Wilted disease, yellow leaves (chlorosis), necrotic spots, leaf burn, canopy cover, and low foliage
Dead Wholly dried up and dead
Table 1 Classification and characteristics of grey mangrove trees
Plant type Type of dieback Plant density (%)
Healthy Sick Dead
Grey mangrove trees Control 98.80 1.20 0.00
Low dieback 60.27 39.73 0.00
Moderate dieback 56.94 43.06 0.00
Severe dieback 35.71 62.50 1.79
Grey mangrove seedlings Control 98.40 1.60 0.00
Low dieback 84.00 16.00 0.00
Moderate dieback 40.70 33.30 26.00
Severe dieback 37.50 0.00 62.50
Table 2 Density of grey mangrove trees and seedlings under different dieback treatments
Fig. 2 Degree of vitality (a), density of aerial roots (b), height of aerial and cable roots (c), tree height (d), collar diameter (e), and canopy area (f) under different dieback treatments. Different lowercase letters indicate significant differences among different treatments at P<0.05 level. Bars are standard errors.
Fig. 3 Lead concentrations in the sediment (a), roots (b) and leaves (c) of grey mangrove trees under different dieback treatments. Different lowercase letters indicate significant differences among different treatments at P<0.05 level. Bars are standard errors.
Fig. 4 Cadmium concentrations in the sediment (a), roots (b), and leaves (c) of grey mangrove trees under different dieback treatments. Different lowercase letters indicate significant differences among different treatments at P<0.05 level. Bars are standard errors.
Fig. 5 Nickel concentrations in the sediment (a), roots (b), and leaves (c) of grey mangrove trees under different dieback treatments. Different lowercase letters indicate significant differences among different treatments at P<0.05 level. Bars are standard errors.
Fig. 6 Metals contents between roots and leaves under different dieback treatments. Different lowercase letters within the same treatment indicate significant differences between roots and leaves at P<0.05 level. (a), lead; (b), cadmium; (c), nickel. Bars are standard errors.
Fig. 7 Electrical conductivity (a), acidity (b) of water, and soil organic carbon (c) under different dieback treatments. Different lowercase letters indicate significant differences among different treatments at P<0.05 level. Bars are standard errors.
Fig. 8 Chlorophyll a (a), chlorophyll b (b), total chlorophyll (c), and carotenoid (d) concentrations in grey mangrove trees under different dieback treatments. Different lowercase letters indicate significant differences among different treatments at P<0.05 level. Bars are standard errors.
[1]   Abohassan R A. 2013. Heavy metal pollution in Avicennia marina mangrove systems on the Red Sea coast of Saudi Arabia. Journal of King Abdulaziz University, 142: 1-38.
[2]   Adams J B, Human L R D. 2016. Investigation into the mortality of mangroves at St. Lucia Estuary. South African Journal of Botany, 107: 121-128.
doi: 10.1016/j.sajb.2016.03.018
[3]   Aeby S G, Santavy L D. 2006. Factors affecting susceptibility of the coral Montastraea faveolata to black-band disease. Marine Ecology Progress Series, 318: 103-110.
doi: 10.3354/meps318103
[4]   Agrios G N. 2005. Plant Pathology (5th ed.). Amsterdam: Elsevier Academic Press.
[5]   Al Hagibi H A, Al-SelwiK M, Nagi H M, et al. 2018. Study of heavy metals contamination in mangrove sediments of the Red Sea Coast of Yemen from Al-Salif to Bab-elMandeb strait. Journal of Ecology and Natural Resources, 2(1): 1-18.
[6]   Aljahdali M O, Alhassan A B. 2020. Ecological risk assessment of heavy metal contamination in mangrove habitats, using biochemical markers and pollution indices: A case study of Avicennia marina L. in the Rabigh Lagoon, Red Sea. Saudy Journal of Biological Sciences, 27(4): 1174-1184
[7]   Arnon A N. 1967. Methode of extraction of chlorophyll in the plants. Agronomy Journal, 23: 112-121.
[8]   Awal M A, Hale W H G, Stern B. 2009. Trace element concentrations in mangrove sediments in the Sundarbans, Bangladesh. Marine Pollution Bulletin, 58(12): 1944-1948.
doi: 10.1016/j.marpolbul.2009.08.016 pmid: 19836810
[9]   Awal M A. 2014. Invention on correlation between the chemical composition of the surface sediment and water in the mangrove forest of the Sundarbans, Bangladesh, and the regeneration, growth and dieback of the forest trees and people health. Science Innovation, 2(2): 11-21.
doi: 10.11648/j.si.20140202.11
[10]   Bijani A. 2019. Investigating the allelopathy effect of native and non-native species of Prosopis on soil mineral elements of native species Aacacia ehrenbergiana and Accacia tortilis. MSc Thesis. Bandar Abbas: Bandar Abbas Islamic Azad University.
[11]   Budiadi B, Pertiwiningrum A, Lestari L D, et al. 2023. Land cover changes, biomass loss, and predictive causes of massive dieback of a mangrove plantation in Lampung, Sumatra. Frontiers in Forests and Global Change, 6: 1150949, doi: 10.3389/ffgc.2023.1150949.
[12]   Campbell A H, Verges A, Steinberg P D. 2014. Demographic consequences of disease in a habitat-forming seaweed and impacts on interactions between natural enemies. Ecology, 95(1): 142-152.
pmid: 24649654
[13]   Cue N T K, Ninomiya I. 2007. Allometric relations for young Kandelia candel (L.) Blanco plantation in Northern Vietnam. Journal of Biological Sciences, 7(3): 539-543
doi: 10.3923/jbs.2007.539.543
[14]   Khlifi D, Sghaier RM, Amouri S, et al. 2013. Composition and anti-oxidant, anti-cancer and anti-inflammatory activities of Artemisia herba-alba, Ruta chalpensis L. and Peganum harmala L. Food and Chemical Toxicology, (55): 202-208.
[15]   Delfan N, Ghodrati-Shojaii M. 2021. Review on the effects of climate change on mangrove ecosystems. Iranian Journal of Biology, 5(10): 111-116. (in Persian)
[16]   Dermawan W C, Prayogo B, Rahardja S. 2019. Analysis of cadmium (Cd) heavy metal on sediment and mangrove leaves Avicennia marina at mangrove ecotourism Wonorejo, Surabaya. Earth and Environmental Science, 236: 012064, doi: 10.1088/1755-1315/236/1/012064.
[17]   Dewis J, Freitas F. 1970. Physical and Chemical Methods of Soil and Water Analysis. Rome: FAO Soil Bulletin.
[18]   Dittmann S, Mosley L, Stangoulis J, et al. 2022. Effects of extreme salinity stress on a temperate mangrove ecosystem. Frontiers in Forests and Global Change, 5: 859283, doi: 10.3389/ffgc.2022.859283.
[19]   Dudani S, Lakhmapurkar J, Gavali 1 D, et al. 2017. Heavy metal accumulation in the mangrove ecosystem of south Gujarat Coast, India. Turkish Journal of Fisheries and Aquatic Sciences, 17: 755-766.
[20]   Duke N C, Roelfsema Ch, Tracey D, et al. 2001. Preliminary investigation into dieback of mangroves in the Mackay region:Initial assessment and possible causes. In: Report to the Queensland Fisheries Service, Northern Region and the Community of Mackay Region. Queensland, Australia.
[21]   Duke N C, Bell A, Lawn P, et al. 2003. Preliminary investigations of the cause of mangrove dieback at luggage point. In: Report by Marine Botany Group, Centre for Marine Studies, the University of Queensland, Queensland, Australia.
[22]   Duke N C, Kovacs J M, Griffiths A D, et al. 2017. Large-scale dieback of mangroves in Australia's Gulf of Carpentaria: A severe ecosystem response, coincidental with an unusually extreme weather event. Marine and Freshwater Research, 68(10): 1816-1829.
doi: 10.1071/MF16322
[23]   Einollahipeer F, Khammar S, Sabaghzadeh A. 2013. A study on heavy metal concentration in sediment and mangrove (Avicenia marina) tissues in Qeshm Island, Persian Gulf. Journal of Novel Applied Sciences, 2(10): 498-504.
[24]   Ellison J C, Zouh I. 2012. Vulnerability to climate change of mangroves: Assessment from Cameroon, Central Africa. Biology, 1(3): 617-638.
doi: 10.3390/biology1030617
[25]   Ghosh D, Chakravortty S, Miguel A J P, et al. 2021. Change prediction and modeling of dynamic mangrove ecosystem using remotely sensed hyperspectral image data. Journal of Applied Remote Sensing, 15(4): 042606, doi: 10.1117/1.JRS.15.042606.
[26]   Hoq M E, Islam M L, Paul H K, et al. 2002. Decomposition and seasonal changes in nutrient constituents in mangrove litter of Sundarbans mangrove, Bangladesh. Indian Journal of Marine Sciences, 31: 130-135.
[27]   Kenshlo H. 2004. Investigating the effect of pruning intensity on the vitality of middle-aged pine trees in Tehran (Chitgar Park, Tehran). Iranian Journal of Forest and Poplar Research, 12(1): 111-140. (in Persian)
[28]   Kheirandish H, Ismailpour Y, Kamali A, et al. 2015. Locating potential for mangrove afforestation in Sirik habitat of Hormozgan Province. Journal of Aquatic Ecology, 5(2): 112-123.
[29]   Komiyama A, Ong J E, Poungparn S. 2008. Allometry, biomass, and productivity of mangrove forests: A review. Aquatic Botany, 89(2): 128-137.
doi: 10.1016/j.aquabot.2007.12.006
[30]   Krauss K W, Demopoulos A W J, Cormier N, et al. 2018. Ghost forests of Marco Island: Mangrove mortality driven by belowground soil structural shifts during tidal hydrologic alteration. Estuarine, Coastal and Shelf Science, 212: 51-62.
doi: 10.1016/j.ecss.2018.06.026
[31]   Lewis III R R, Milbrandt E C, Brown B, et al. 2016. Stress in mangrove forests: Early detection and preemptive rehabilitation are essential for future successful worldwide mangrove forest management. Marine Pollution Bulletin, 109(2): 764-771.
doi: 10.1016/j.marpolbul.2016.03.006 pmid: 26971817
[32]   Lovelock C E, Feller I C, Reef R, et al. 2017. Mangrove dieback during fluctuating sea levels. Scientific Reports, 7(1): 1680, doi: 10.1038/s41598-017-01927-6.
pmid: 28490782
[33]   Lufthansa U, Titah H, Pratikno H. 2021. The ability of mangrove plant on lead phytoremediation at Wonorejo Estuary, Surabaya, Indonesia. Journal of Ecological Engineering, 22(6): 253-268.
doi: 10.12911/22998993/137675
[34]   MacFarlane G R, Burchett M D. 2002. Toxicity, growth and accumulation relationships of copper, lead and zinc in the grey mangrove Avicennia marina (Forsk.) Vierh. Marine Environmental Research, 54(1): 65-84.
doi: 10.1016/s0141-1136(02)00095-8 pmid: 12148945
[35]   Machado W, Silva-Filho E V, Oliveira R R, et al. 2002. Trace metal retention in mangrove ecosystems in Guanabara Bay, SE Brazil. Marine Pollution Bulletin, 44(11): 1277-1280.
pmid: 12523527
[36]   Mafi-Gholami D, Mahmoudi B, Zenner E K. 2017. An analysis of the relationship between drought events and mangrove changes along the northern coasts of the Persian Gulf and Oman Sea. Estuarine, Coastal and Shelf Science, 199: 141-151.
doi: 10.1016/j.ecss.2017.10.008
[37]   Mafi Gholami D, Jafari A. 2020. Analysis of the relationship between the occurrence of meteorological and hydrological drought and the change in the biomass of the mangrove forests of Gwadar Bay in a period of 34 years. Iranian Journal of Forest and Spruce Research, 28(4): 162-149. (in Persian)
[38]   Moslehi M. 2018. Ecological value of endangered mangrove ecosystems. Human and Environment Quarterly, 16(3): 148-168.
[39]   Moslehi M, Yaqubzadeh M, Salman Mahiini A, et al. 2021. Comparison of heavy metal concentration in sediment and vegetative organs of grey mangrove and red mangrove species. Wood and Forest Science and Technology Research Journal, 28(4): 119-134.
[40]   Nardin W, Vona I, Fagherazzi S. 2021. Sediment deposition affects mangrove forests in the Mekong Delta, Vietnam. Continental Shelf Research, 213: 104319, doi: 10.1016/j.csr.2020.104319.
[41]   Nguyen H T T, Hardy G E S J, Le T V, et al. 2021. Mangrove dieback and leaf disease in Sonneratia apetala and Sonneratia caseolaris in Vietnam. Forests, 12(9): 1273, doi: 10.3390/f12091273.
[42]   Osorio J A, Crous C J, Wingfield M J, et al. 2017. An assessment of mangrove diseases and pests in South Africa. International Journal of Forest Research, 90(3): 343-358.
[43]   Page A L, Miller R H, Keeney M. 1992. Methods of Soil Analysis, Part II, Chemical and Microbiological Methods (2nd ed.). Madison: American Society of Agronomy.
[44]   Reef R, Feller I C, Lovelock C E. 2010. Nutrition of mangroves. Tree Physiology, 30: 1148-1160.
doi: 10.1093/treephys/tpq048 pmid: 20566581
[45]   Rossi R E, Archer S K, Girid C, et al. 2020. The role of multiple stressors in a dwarf red mangrove (Rhizophora mangle) dieback. Estuarine, Coastal and Shelf Science, 237: 106660, doi: 10.1016/j.ecss.2020.106660.
[46]   Sadeghi M. 2005. Investigating the changes in the density and canopy of mangrove forests in the Oman Sea basin, case study: Jask and Sirik region. MSc Thesis. Tehran: Azad University.
[47]   Safyari S. 2017. Mangrove forests in Iran. Iranian Nature Magazine, 2(2): 49-57. (in Persian)
[48]   Saleh S M K, Amer A T, Shdeewah F, et al. 2018. Spatial distribution, seasonal (summer and winter seasons), and pollution assessment of heavy metals in surface sediments from Aden coasts, Gulf of Aden, Yemen. Journal of Scientific and Engineering Research, 5: 314-332.
[49]   Sarika P R, Chandramohanakumar N. 2008. Distribution of heavy metals in mangrove sediments of Cochin Estuary. Research Journal of Chemistry and Environment, 12(3): 37-44.
[50]   Sarkar S K, Bhattacharya A, Bhattacharya B. 2003. The river Ganga of northern India: An appraisal of its geomorphic and ecological changes. Water Science and Technology, 48(7): 121-128.
pmid: 14653642
[51]   Sippo J Z, Maher D T, Schulz K G, et al. 2019. Carbon outwelling across the shelf following a massive mangrove dieback in Australia: Insights from radium isotopes. Geochimica et Cosmochimica Acta, 253: 142-158.
doi: 10.1016/j.gca.2019.03.003
[52]   Sippo J Z, Santos I R, Sanders C J, et al. 2020. Linking climatic-driven iron toxicity and water stress to a massive mangrove dieback. Biogeosciences Discussions, 27: 478, doi: 10.5194/bg-2019-478.
[53]   van Laar A, Akça A. 2007. Single-tree measurements. In: Tomé M, Seifert T, Kurttila M. Managing Forest Ecosystems. Dordrecht: Springer, 63-93.
[54]   Wang Y, Chao B, Dong P, et al. 2021. Simulating spatial change of mangrove habitat under the impact of coastal land use: Coupling MaxEnt and Dyna-CLUE models. Science of the Total Environment, 788: 147914, doi: 10.1016/j.scitotenv.2021.147914.
[55]   Yaghoubzadeh M, Salmanmahiny A, Moslehi M, et al. 2020. Investigation of port effects on vegetative and reproductive characteristics of grey mangrove (Avicennia marina (Forssk.) Vierh.) of Iran. Iran Forest and Spruce Research, 30(1): 141-156. (in Persian)
[56]   Yim M W, Tam N F Y. 1999. Effects of wastewater-borne heavy metals on mangrove plants and soil microbial activities. Marine Pollution Bulletin, 39(1-12): 179-186.
doi: 10.1016/S0025-326X(99)00067-3
[57]   Zubeiri M. 2004. Forest Statistics (Tree and Forest Measurement). Tehran: University of Tehran.
[1] WEN Xiaohu, LI Leiming, WU Jun, LU Jian, SHENG Danrui. Multiple assessments, source determination, and health risk apportionment of heavy metal(loid)s in the groundwater of the Shule River Basin in northwestern China[J]. Journal of Arid Land, 2023, 15(11): 1355-1375.
[2] XIE Shicheng, LAN Tian, XING An, CHEN Chen, MENG Chang, WANG Shuiping, XU Mingming, HONG Mei. Spatial distribution and ecological risk of heavy metals and their source apportionment in soils from a typical mining area, Inner Mongolia, China[J]. Journal of Arid Land, 2023, 15(10): 1196-1215.
[3] ZHANG Zhaoyong, GUO Jieyi, WANG Pengwei. Occurrence, sources, and relationships of soil microplastics with adsorbed heavy metals in the Ebinur Lake Basin, Northwest China[J]. Journal of Arid Land, 2022, 14(8): 910-924.
[4] CHEN Yan, XU Yongping, QU Fangjing, HOU Fuqin, CHEN Hongli, LI Xiaoyu. Effects of different loading rates and types of biochar on passivations of Cu and Zn via swine manure composting[J]. Journal of Arid Land, 2020, 12(6): 1056-1070.
[5] ZHANG Hua, YU Miao, XU Hongjia, WEN Huan, FAN Haiyan, WANG Tianyi, LIU Jiangang. Geochemical baseline determination and contamination of heavy metals in the urban topsoil of Fuxin City, China[J]. Journal of Arid Land, 2020, 12(6): 1001-1017.
[6] Zheng LIU, Zhongren NAN, Chuanyan ZHAO, Yang YANG. Potato absorption and phytoavailability of Cd, Ni, Cu, Zn and Pb in sierozem soils amended with municipal sludge compost[J]. Journal of Arid Land, 2018, 10(4): 638-652.
[7] WANG Wei, LAI Yingshuai, MA Yuanyuan, LIU Zilong, WANG Shufen, HONG Chenglin. Heavy metal contamination of urban topsoil in a petrochemical industrial city in Xinjiang, China[J]. Journal of Arid Land, 2016, 8(6): 871-880.
[8] ZhuanJun ZHAO, ZhongRen NAN, ZhaoWei WANG, YiMing YANG, Masayuki SHIMIZU. Interaction between Cd and Pb in the soil-plant system: a case study of an arid oasis soil-cole system[J]. Journal of Arid Land, 2014, 6(1): 59-68.
[9] Gulzhan BEISEYEVA, Jilili ABUDUWALI. Migration and accumulation of heavy metals in disturbed landscapes in developing ore deposits, East Kazakhstan[J]. Journal of Arid Land, 2013, 5(2): 180-187.