scholarly journals Temperature Stress on Physiological and Morphological Traits in Rhizophora apiculata

2021 ◽  
Vol 18 (4(Suppl.)) ◽  
pp. 1492
Author(s):  
Baseem M. Tamimi ◽  
Wan Juliana W. A. ◽  
Nizam M. S. ◽  
Che Radziah Che Mohd. Zain

Global warming has had considerable effects on vital ecosystems, which has also been caused by increased temperatures and CO2 that follow changes in different abiotic factors, which poses threats to mangrove forests environment. This research was conducted to examine the physiological and morphological characteristics of the Rhizophora apiculata mangrove regarding higher air temperature for the variety of tree species that respond to climate change. Seedlings were cultivated for three months in regulated growth chambers with three varying temperatures of 38°C, 21°C under CO2 at 450 ppm, and ambient CO2 concentration i.e., 450 ± 20 ppm under average temperature at 28°C as the control condition. The plants were treated every 48 hours with 3 L of saline water of 28 ppt. After two weeks at high temperature, the mangrove showed positive results for all parameters. The temperature variations resulted in major variations, such as negative for increased temperature resulting in extreme damage to many samples while positive for decreased temperature resulting in slow development. The physiological results show decreased photosynthesis rates compared to controlled samples. These findings indicate that low photosynthetic capability levels could have occurred due to reduced CO2 fixative reaction mechanism, photosynthetic pigment material, and the discrepancy between respiratory and photosynthesis rate.

2019 ◽  
pp. 1658-1666
Author(s):  
Baseem Tamimia ◽  
Wan Juliana W. A. ◽  
Nizam M.S. ◽  
Che Radziah Che Mohd Zain

Global climate change has shown to have a significant impact on critical ecosystems, that in turn has led to elevated CO2 and temperatures that accompany changes in many abiotic factors, including mangrove forests, facing challenges in their habitat. This study conducted to investigate the morphological and physiological characteristic of the mangrove Rhizophora apiculata in response to elevated CO2 concentration and air temperature for the selection of tree species that are able to adapt to climate change. The seedlings were grown in controlled growth chambers with two temperatures, 21 and 38°C, under elevated CO2 at 650 ppm for three months. The plants watered with two liters of saline water of 28 ppt every 48 hours. Thus, after two weeks the mangrove recorded positive results for all parameters to high temperature. The differences in temperature resulted in significant differences and positive interaction between elevated CO2 and decreased temperature that led to the samples survived for all parameters and the growth was very slow, but negative interaction and the samples almost perished under elevated CO2 and increase the temperature for growth and photosynthesis response. These results suggested that the low level of photosynthetic capacity might be attributed to the decreased CO2 fixative reaction system and photosynthetic pigment contents.


2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Syahrul Muharamsyah ◽  
M Sofwan Anwari ◽  
Hafiz Ardian

Mangrove forests are unique ecosystems that have ecological, biological and socio-economic functions. The function of mangrove forests on the environment is very important especially in the coastal and oceanic regions. Mangrove forests providers of wood, leaves as raw material for medicines, and natural dye. This study aims to inventory the diversity of species of mangrove vegetation in Mendalok Village, Sungai Kunyit Subdistrict, Mempawah Regency. The benefits of this study are to provide the data on mangrove forest vegetation as basic data for local government and related agencies in efforts to protect and preserve mangrove forests in Mendalok Village, Sungai Kunyit Subdistrict, Mempawah Regency. Inventory the tree in mangrove forest used a line with measured 200 meters. There are 6 lines and the distance between the lines as far as 100 meters. The lines of observation are placed by purposive sampling. The results of research found 11 types of species and consisted of 6 genera. The genera are Avicennia, Bruguiera, Ceriops, Rhizophora, Soneratia and Xylocarpus. The species found were Avicennia alba, Avicennia marina, Bruguiera cylindrica, Bruguiera gymnorrhiza, Bruguiera parviflora, Ceriops decandra, Rhizophora apiculata, Rhizophora mucronata, Rhizophora stylosa, Sonneratia caseolaris, Xylocarpus mollucensis. Diversity of mangrove species in Mendalok Village, Sungai Kunyit Subdistrict, Mempawah Regency was high and should be maintained for conservation and ecotourism area. Keywords : conservation, ecotourism, mangrove, Mendalok Village


2018 ◽  
Vol 6 (1) ◽  
pp. 66 ◽  
Author(s):  
Cahyaning Windarni ◽  
Agus Setiawan ◽  
Rusita Rusita

Increasing CO2 in the atmosphere and decreasing amount of forest as absorb CO2are factors which was the underlying repercussion of climate change. One of solutions for decreasing CO2 concentration through the forest vegetation’s development and emendation. Mangrove forest estimated that effectively absorb carbon through photosynthesis. The purpose of the studyis to estimate the stand and litter carbon stock of mangrove forest. The research used line transectmethod. The first line and plot determined randomly then the next lineand plots was sistematically. The observation plots had measurement with amount of 20m x 20m with spacing between plot in line 20 m with total 20 plots. Each plot was measured diameter just  ≥ 5 cm. Each plot made observations litter sub plots with amount of 0,5 m x 0,5 m. Carbon estimation of stand biomass using allometric equations B = 0,1848D2.3624 and litter biomass using total dry weight. Carbon concentration of organic material typically contains around 46% thus multiplying the biomass by 46%. The average biomass of mangrove forests amounted to 431,78 tons/ha. Carbon estimated of mangrove stand was 197,36 ton/ha and litter carbon was 1,25 ton/ha, based on the research total of carbon mangrove forest was198,61 ton/ha. Keywords:carbon above ground,line transect, mangrove forest


2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Sulistiono Sulistiono ◽  
Nurul Musyariafah Yahya ◽  
Etty Riani

Mangrove forests are ecosystems that make up coastal areas and river estuaries. The examples of mangrove ecosystems found in Indonesia are in Segara Anakan, Central Java. One of the aquatic biota with the economic value found in the mangrove forest ecosystem is the mud crab (Scylla spp.). The purpose of this study was to assess the distribution of mangrove crabs (Scylla spp.) to the presence of mangrove species in the mouth of the Donan River, Segara Anakan. A sampling of crabs and observations of mangrove vegetation were carried out at five stations spread from the river to the sea. The results showed that there were three types of mangrove crabs caught in the vicinity of the study, namely Scylla tranquebarica, S. olivacea, and S. serrata. The types of mangroves found include Rhizophora apiculata, R. mucronata, Avicennia rumphiana, A. alba, A. officinalis, and Nypa. Regression analysis showed that mangrove density correlated with the abundance of Scylla tranquebarica and Scylla olivacea, but contradicts the abundance of Scylla serrate. PCA analysis showed that the Crab species Scylla tranquebarica and Scylla olivacea were associated with mangroves of Avicennia alba, Avicennia rumphiana, and Rhizophora apiculata. Meanwhile, Scylla serrata crabs are associated with Avicennia officinalis.


Author(s):  
Aulia Ilham ◽  
Marza Ihsan Marzuki

Machine learning is an empirical approach for regressions, clustering and/or classifying (supervised or unsupervised) on a non-linear system. This method is mainly used to analyze a complex system for  wide data observation. In remote sensing, machine learning method could be  used for image data classification with software tools independence. This research aims to classify the distribution, type, and area of mangroves using Akaike Information Criterion approach for case study in Nusa Lembongan Island. This study is important because mangrove forests have an important role ecologically, economically, and socially. For example is as a green belt for protection of coastline from storm and tsunami wave. Using satellite images Worldview-2 with data resolution of 0.46 meters, this method could identify automatically land class, sea class/water, and mangroves class. Three types of mangrove have been identified namely: Rhizophora apiculata, Sonnetaria alba, and other mangrove species. The result showed that the accuracy of classification was about 68.32%.


2021 ◽  
Vol 10 (1) ◽  
pp. 33-39
Author(s):  
Soe- Win

The survey was conducted in the mangrove forests around the Magyi and Utto Creeks at Shwe-Thaung-Yan coastal areas in Ayeyarwady Delta region, April 2018. Transect lines were laid as lower, middle and upper, and quadrate plots based on Point Center Quarter Method (PCQM) P-DATA PRO were used. A total of 15 species of true mangrove was recorded. Rhizophora apiculata and Bruguiera gymnorhiza are the most dominant and distributed species in the study area. Followed by Bruguiera sexangulata, Cerop tagal and Rhizophora mucronata then remaining species. Zonation pattern of mangroves species as lower, middle, upper was also examined in study areas. Among than 1 species in Near Threaten (NT), 1 species in Critically Endangered (CR), 1 species in Endangered (EN) and remaining species are Least Concern (LC) had been considered according with IUCN red list. The environmental parameters such as water salinity and temperature, soil salinity, soil temperature and soil pH of study area were also recorded.


Author(s):  
Linus Takandare ◽  
Pamela Mercy Papilaya

Background: Mangrove forests are one of the unique natural ecosystems with high ecological value. Mangrove ecosystems are one of the areas with high productivity because there are litter and decomposition of litter and detritus occurs. This study was conducted to determine the association between gastropods and mangrove plants. Method: Research on gastropod association with mangrove plants in the coastal waters of Tiouw Village and Haria Village was conducted in January 2018. Results: This study found from gastropods 6 species namely variabilis strombus, microurceus strombus, Nassarius luridus, Strombus urceus, Cypraea annulus, Strombus, Strombus, Nerita squamulata. From the mangrove plants, 10 species were found: Avicennia eucalyptifolia, Avicennia lanata, Bruguiera sexangula, Rhizophora apiculata, Bruguiera hainessi, Aegiceras floridum R, Aegiceras curniculatum L, Bruguiera palviflora, Bruguiera exaristafa, Ceriops tagal. Conclusion: Association values ​​ranged from 0.741-0.9773 with positive and negative types. This means that both types of seagrass are often found together or not found together in the observation location


2021 ◽  
Vol 13 (19) ◽  
pp. 10737
Author(s):  
Seok-Kyu Jung ◽  
Hyun-Sug Choi

This study was carried out to assess the morphological characteristics, fruit quality, and antioxidant levels in sucrose ester-coated ‘Harmony’ plumcots (Prunus salicina Lindl. × P. armeniaca L.). Fruit samples in the control group were left untreated, with two further groups undergoing coating either after 0 days of cold storage (0 d CS) or after 7 days of cold storage (7 d CS) to evaluate changes in post-harvest quality at three-day intervals throughout 12 days of room temperature storage (12 DAS). Coating treatment significantly reduced fruit respiration during storage time in the 0 d CS samples, with this being attributed to the clogging of pores in peel stomata and lenticel, as observed on the fruits under scanning electron microscopy; however, the same effect was not observed in the 7 d CS samples from fruits with a high initial CO2 concentration. The coating delayed fruit softening and discoloration during storage in the 0 d CS samples, extending the shelf-life of the fruits for approximately 9 days. However, the coating treatment was found to reduce total flavonoid and anthocyanin content at 6 DAS and 12 DAS in both groups.


2021 ◽  
Author(s):  
Shuxin Luo ◽  
Ting Fong May Chui

<p>Mangrove forests are mainly found in the intertidal zone. Their ability to live in saline water enables them to outcompete non-mangrove vegetation in harsh and specific coastal environment. Nevertheless, they can still be invaded by alien mangrove species in suitable hydrological conditions, possibly resulting in more fragile ecosystems. Subtropical mangrove ecosystem demonstrates high variability in mangrove growth and hydrological conditions. However, their interactions are not well-understood, especially for the mangrove interspecific competition in varying groundwater conditions. To address this issue, the present study developed a coupled three-dimensional groundwater-vegetation model based on MANTRA (MANHAM-SUTRA) to simultaneously simulate groundwater hydrodynamics and mangrove distribution. The developed model was then applied to a subtropical mangrove swamp invaded by Sonneratia spp. in Mai Po Nature Reserve, Hong Kong, China. Vegetation domain is updated yearly using the annual mangrove areas extracted from remote-sensing images from 2000 to 2018. Then, multidecadal simulations were performed to validate the model in simulating the interaction between groundwater and mangrove growth. For the piezometric head, all RMS errors are smaller than 0.2 m and the correlation coefficients are larger than 0.86, which proves the effectiveness of the model in groundwater level simulation within Mai Po. The seasonal variations in the groundwater salinity were also well captured in both the fringe forest and the mudflat. The simulated biomass of Sonneratia spp. is mainly distributed at the river outlets, which is also in good agreement with the historical measurements. The validated model can then be used to predict the invasion and the distribution of the exotic mangrove species in the context of future environmental changes for better management of mangrove swamps. Since Sonneratia is a common alien species in southern China, the model can also be used for regional management of mangrove invasion and conservation of native species. The insights obtained from this study may also provide references for other similar studies examining the interaction between coastal groundwater and vegetation.</p>


2022 ◽  
pp. 99-114
Author(s):  
Helena Esteves Correia ◽  
Daniela de Vasconcelos Teixeira Agu Costa

Agricultural production is influenced by environmental factors such as temperature, air humidity, soil water, light intensity, and CO2 concentration. However, climate change has influenced the values of average temperature, precipitation, global atmospheric CO2 concentration, or ozone level. Thus, climate change could lead to different situations on plants and consequently influence agricultural production. With this chapter, the authors intend to research how climate change influences some plant metabolisms (such as photosynthesis, photorespiration, transpiration, among others) and therefore agricultural production.


Sign in / Sign up

Export Citation Format

Share Document