scholarly journals Impact of Heavy Metals on Forest Ecosystems of the European North of Russia

Heavy Metals ◽  
2018 ◽  
Author(s):  
Irina Lyanguzova ◽  
Vasily Yarmishko ◽  
Vadim Gorshkov ◽  
Natalie Stavrova ◽  
Irina Bakkal
Keyword(s):  
Heavy Metals ◽  
Forest Ecosystems ◽  
European North

INFLUENCE OF AIR POLLUTION ON FOREST ECOSYSTEMS: ECOLOGICAL IMPACT OF HEAVY METALS

2010 ◽  
Vol 9 (10) ◽  
pp. 1401-1405
Author(s):  
Mihaela Budianu ◽  
Brindusa Mihaela Robu ◽  
Matei Macoveanu
Keyword(s):  
Heavy Metals ◽  
Air Pollution ◽  
Forest Ecosystems ◽  
Ecological Impact

scholarly journals MOSS AS BIOINDICATORS FOR POLLUTION AT FRASER HILL AND CAMERON HIGHLAND PAHANG MALAYSIA

2021 ◽  
Vol 19 (16) ◽  
Author(s):  
Zainul Mukrim Baharuddin ◽  
Ainna Hanis Zuhairi
Keyword(s):  
Heavy Metals ◽  
Forest Ecosystems ◽  
Heavy Metal Contamination ◽  
Cloud Forest ◽  
Iron Concentration ◽  
Tropical Montane Cloud Forest ◽  
Sources Of Pollution ◽  
Montane Cloud Forest ◽  
Physical Attributes ◽  
Key Indicators

Tropical Montane Cloud Forest (TMCF) is one of Earth’s most neglected ecosystems around the globe. More than half of these forests are situated within Southeast Asia. Malaysia is known for its numerous mountains that are exceptionally rich in biodiversity and locally endemic species, but they are also threatened by expanding human activity such as forestry, agriculture, infrastructure, and climate change. The study aims to critically assess the current state of moist TMCF, focusing on their physical and biological potentials as Bio indicators through Bio monitoring at Fraser Hill and Cameron Highland, Pahang, Malaysia. The mix-methods of observation surveys are to identify physical attributes such as light intensity, altitudes, temperature, wind velocity and air humidity. Secondly, laboratory tests are to identify heavy metal contamination absorbed by mosses. Based on the findings collected around the trails, a connection between altitude and microclimate could be found. The study finds that as the altitude increases and the temperature decreases, the vegetation becomes more dwarfed. Secondly, results from the analysis at Abu Suradi trail within Fraser Hill and Brinchang Trail within Cameron Highland have a higher average of aluminium and iron concentration. Mosses were manifested as good key indicators of air pollution with heavy metals to Malaysia highland forest ecosystems. It showed differential accumulation of heavy metals located near sources of pollution. Thus, the moss data confirms the persistence of risk of pollution of highland forest ecosystems in Malaysia, which demands environmental management. Furthermore, decision makers, planners and designers around the region can evaluate and improve their local strategies related to Tropical Montane Cloud Forest (TMCF) conservation and preservation, especially highlands such as Fraser Hill and Cameron Highland.

Investigation of heavy metals transportation from soil to the pine tree

2004 ◽  
Vol 50 (3) ◽  
pp. 239-244 ◽  
Author(s):  
E. Baltrénaité ◽  
D. Butkus
Keyword(s):  
Heavy Metals ◽  
Forest Ecosystems ◽  
Heavy Traffic ◽  
Mineral Particles ◽  
Pine Tree ◽  
Zn Concentration ◽  
Cr Concentration ◽  
The Impact ◽  
Mn Concentration ◽  
Common Tree

The Scots pine (Pinus sylvestris L.) is the most common tree in Lithuanian forests. Research on the impact of pollutants on pines allows us to evaluate pollutants in a major part of Lithuanian forests. Heavy metals (HMs) are among the major pollutants entering forest ecosystems in different ways: in their wet and dry form they come from local or distant sources of emission by being transported from seas alongside with nutrients and sea salt, washed up from the dead plants accumulated in soil, and together with mineral particles brought by wind or water. During the period of investigation, a decrease in the Cr concentration in pine rings is seen. High Zn concentrations (in 1987-1989 Zn concentration was 27.6 mg·kg-1) in the pine may be caused by emissions from heavy traffic. The results have shown that Mn has the highest concentration as compared with that of other HMs in the soil around the pine (at the depth of 30-40 cm, Mn concentration is 780 mg·kg-1). In comparison with other HMs, Cu and Zn have the largest factor of transport from the soil to the wood (0.39 and 0.49 respectively).

scholarly journals Heavy metals contamination of river water and sediments in the mangrove forest ecosystems in Bangladesh: A consequence of oil spill incident

2021 ◽  
pp. 100484
Author(s):  
Tasrina Rabia Choudhury ◽  
Thamina Acter ◽  
Nizam Uddin ◽  
Masud Kamal ◽  
A.M. Sarwaruddin Chowdhury ◽  
...  
Keyword(s):  
Heavy Metals ◽  
River Water ◽  
Oil Spill ◽  
Mangrove Forest ◽  
Forest Ecosystems ◽  
Heavy Metals Contamination

scholarly journals Heavy Metals Contamination of River Water and Sediments in The Mangrove Forest Ecosystems in Bangladesh: A Consequence of Oil Spill Incident

2021 ◽  
Author(s):  
Tasrina Rabia Choudhury ◽  
Thamina Acter ◽  
Nizam Uddin ◽  
Masud Kamal ◽  
A.M. Sarwaruddin Chowdhury ◽  
...  
Keyword(s):  
Heavy Metals ◽  
River Water ◽  
Mangrove Forest ◽  
Quality Index ◽  
Forest Ecosystems ◽  
Contamination Factor ◽  
Degree Of Contamination ◽  
Sediment Samples ◽  
Water And Sediment ◽  
Heavy Metals Pollution

Abstract Oil spillage is one of the common pollution events of global water-soil ecosystems. A comprehensive investigation on heavy metals pollution of surface water and sediments was conducted after oil spill incident in Sela River and its tributaries of the Sundarbans mangrove forest ecosystems, Bangladesh. Water and sediment samples were collected from the preselected sampling points in Sela River, and the elemental (Pb, Cd, Cr, Co, Cu, Ni, Fe, As, Hg, Mn, Zn, Ca, Mg, Na, and K) analysis was done using atomic absorption spectrometer (AAS). This study revealed that the descending order for the average concentration of the studied elements were found to be Mg > Co > Na > Ni > K > Ca > Pb > Fe > Mn > Cr > Cd > Zn > Cu respectively, while As and Hg in water samples were found to be below detection limit (BDL). However, some of the toxic elements in the Sela River water samples were exceeded the permissible limit set by the World Health Organization (WHO) with a descending order of Co > Cd > Pb > Ni respectively. Based on the water quality index (WQI), metal pollution index (MPI), and metal quality index (MI), the Sela River water is not suitable for drinking but may be used for irrigating agricultural and vegetable crops. On the other hand, elemental concentration in the sediment samples were found to be the following descending order of Fe > Mg > Na > K > Ca > Mn > Zn > Cr > Cu > Pb > As > Cd respectively. Several pollution assessment indices: contamination factor (Cf), degree of contamination (Cd), modified degree of contamination (mCd), pollution load (PLI), enrichment factor (EF), geo-accumulation (Igeo) indices were followed to assess the sediment systems pollution in the study area. Considering sediment quality indices, this study revealed that the river sediment had higher contamination factor (Cf) values for Cd, moderate values for Pb, Cr, Cu, Zn, Mg, and As, and low values for Mn, Fe, Ca, Na, and K. Among the studied heavy metals, Cd content was highest in both water and sediment samples, which confirming that Cd, insoluble or suspended form, was more likely to be strongly deposited and bound in sediments from water. Principal component and correlation analyses suggested that the sources of heavy metals pollution were mainly anthropogenic along with the geogenic sources in the study area.

Autumn Retranslocation of Heavy Metals from Leaves of Woody Plants in Forest Ecosystems

2021 ◽  
Vol 48 (4) ◽  
pp. 495-505
Author(s):  
O. S. Zheleznova ◽  
S. A. Tobratov
Keyword(s):  
Heavy Metals ◽  
Woody Plants ◽  
Forest Ecosystems

Sampling and analysis of the air-water interface with SEM and EDS of microlayers

1989 ◽  
Vol 47 ◽  
pp. 1004-1005
Author(s):  
Randall W. Smith ◽  
John Dash
Keyword(s):  
Heavy Metals ◽  
Surface Microlayer ◽  
Surface Films ◽  
Water Interface ◽  
Physical Processes ◽  
Infrared Spectroscopic Analysis ◽  
Eds Analysis ◽  
Air Water Interface ◽  
Significant Area ◽  
Bulk Chemical

The structure of the air-water interface forms a boundary layer that involves biological ,chemical geological and physical processes in its formation. Freshwater and sea surface microlayers form at the air-water interface and include a diverse assemblage of organic matter, detritus, microorganisms, plankton and heavy metals. The sampling of microlayers and the examination of components is presently a significant area of study because of the input of anthropogenic materials and their accumulation at the air-water interface. The neustonic organisms present in this environment may be sensitive to the toxic components of these inputs. Hardy reports that over 20 different methods have been developed for sampling of microlayers, primarily for bulk chemical analysis. We report here the examination of microlayer films for the documentation of structure and composition.Baier and Gucinski reported the use of Langmuir-Blogett films obtained on germanium prisms for infrared spectroscopic analysis (IR-ATR) of components. The sampling of microlayers has been done by collecting fi1ms on glass plates and teflon drums, We found that microlayers could be collected on 11 mm glass cover slips by pulling a Langmuir-Blogett film from a surface microlayer. Comparative collections were made on methylcel1ulose filter pads. The films could be air-dried or preserved in Lugol's Iodine Several slicks or surface films were sampled in September, 1987 in Chesapeake Bay, Maryland and in August, 1988 in Sequim Bay, Washington, For glass coverslips the films were air-dried, mounted on SEM pegs, ringed with colloidal silver, and sputter coated with Au-Pd, The Langmuir-Blogett film technique maintained the structure of the microlayer intact for examination, SEM observation and EDS analysis were then used to determine organisms and relative concentrations of heavy metals, using a Link AN 10000 EDS system with an ISI SS40 SEM unit. Typical heavy microlayer films are shown in Figure 3.

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