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JournalofResearchinBiology
Evaluation of air pollution tolerant tree species for Kothagiri Municipal
Town, the Nilgiris, Tamil Nadu.
Keywords:
Air pollution tolerance index, Nilgiris, Urbanized area, Kothagiri.
ABSTRACT:
Air pollution tolerance index (APTI) has been determined by pooling the at-
tributes viz., total chlorophyll, ascorbic acid and moisture content of leaves and leaf
extract pH for certain locally available tree species in and around Kothagiri Municipal
Town, the Nilgiris. Of the 24 species analyzed 6 tree species such as Alnus nepalensis,
Callistemon lanceolata, Eucalyptus ficifolia, Ficus elastica, Michelia champaca and
Toona ciliate recorded higher APTI values. Hence, it is suggested that these tree spe-
cies can be given priority for plantation programme in and around industrial com-
plexes, road sides and also new urbanized areas in Kotagiri so as to reduce the effect
of air pollution and makes the environment clean.
148-152 | JRB | 2011 | Vol 1 | No 2
© Ficus Press.
This Open Access article is governed by the Creative Commons Attribution License (http://
creativecommons.org/licenses/by/2.0), which gives permission for unrestricted use, non-
commercial, distribution, and reproduction in all medium, provided the original work is properly
cited.
Submit Your Manuscript
www.ficuspress.com www.jresearchbiology.com
Journal of Research in biology
An International Open Access Online
Research Journal
Authors:
Senthilkumar P1
and
Paulsamy S2
.
Institution:
1
Department of
Biotechnology, Hindusthan
College of Arts and Science,
Coimbatore – 641 028,
2
Department of Botany,
Kongunadu Arts and
Science College,
Coimbatore – 641 029,
Corresponding author:
Paulsamy S.
Email:
paulsami@yahoo.com
drpsenthil13@gmail.com
Web Address:
http://jresearchbiology.com/
Documents/RA0012.pdf.
Dates:
Received: 30 Apr 2011 /Accepted: 04 May 2011 /Published: 29 Jun 2011
Article Citation:
Senthilkumar P and Paulsamy S.
Evaluation of air pollution tolerant tree species for Kothagiri Municipal Town, the
Nilgiris, Tamil Nadu.
Journal of research in Biology (2011) 2: 148-152
Journal of Research in Biology
An International Online Open Access
Publication group
Original Research paper
JournalofResearchinBiology
INTRODUCTION
Air is never found absolutely clean in nature.
It is indeed deteriorated every moment due to ever
increasing industrial activities, automobiles etc. The
industrialized countries are dumping lot of
materials and wastes in their immediate
environment, which is now becoming a big source
of pollution. During the past many decades, there
has been a growing awareness about the serious
hazards of atmospheric pollution to which we are
constantly exposed. Serious discussions are going
on about the effects of green house gases and
carbon gases on environmental security world wide
(Kanchev et al., 2005, Blottnitz and Curran, 2007).
The damaging effects of air pollution on vegetation
have been recognized (Treshow, 1970; Chang and
Terwilliger, 2000; Cape, 2003). Screening of plants
for their sensitivity to air pollutants is of vital
importance. Many workers like Agarwal and
Tiwari, 1997, Paulsamy et al., 2000,
Ramakrishnaiah and Somasekhar, 2003, Kannan,
2003, Rathinaswamy et al., 2005 have identified
tolerant tree species of air pollution for some
industrial cities in India.
In India, Tamil Nadu is one among the
leading states in industrial development. Kothagiri,
one among the cities gets affected by air pollution
mainly due to automobiles and agricultural
pesticides in Tamil Nadu. Since, it is one of the
important tourist places in Nilgiris, Kothagiri is
experiencing high degree of air pollution through
vehicles. In this juncture, for the control of the
effect of air pollution, an attempt has been made in
the present study at Kothagiri to identify suitable air
pollution tolerant tree species based on air pollution
tolerance index.
MATERIALS AND METHODS
The locally available tree species were
analyzed for air pollution tolerance index (APTI) by
estimating the contents of ascorbic acid,
chlorophyll, relative moisture in leaf and leaf
extract pH at monthly intervals from November
2006 to July, 2007. Leaves from tip, middle and
basal canopy of trees were collected in the forenoon
between 07.00 and 08.00 am. Care was taken for
plants under investigation with respect to exposure
of almost similar conditions for light, water, soil
and pollutants. The collected samples were
analyzed for ascorbic acid, total chlorophyll and
relative water content and leaf extract pH.
Unpolluted regions were taken 25km away from the
city which served as control. The ascorbic acid and
total chlorophyll contents were estimated
respectively by the methods of Keller and
Schwanger (1977) and MacLachlon and Zalik
(1963). Relative water content was determined by
following and the leaf extract pH was measured by
using digital pH meter.
The air pollution tolerance index (APTI) was
determined by using the following formula
proposed by Singh and Rao (1983):
APTI =
Where,
A= ascorbic acid content in leaf (mg/g); T=
total chlorophyll content in leaf (mg/g); P= leaf
extract pH and R= per cent water content of the
leaf. The sum value is divided by 10 to get the
value in reduced scale.
RESULTS AND DISCUSSION
A considerable number of 24 tree species
were analyzed in the municipal town, Kothagiri. It
was estimated that many tree species showed wide
variation in leaf chlorophyll content at the study
area. The higher chlorophyll content was prominent
in tree species like Alnus nepalensis, Callistemon
lanceolata, Cupressus cashmeriana, Ficus elastica
and Michelia champaca (Table 1). Further, it was
observed that the close proximity observed between
the individuals of tree species growing in polluted
(Kothagiri) and unpolluted nearby areas with
respect to high chlorophyll content indicates that air
pollution has no marked effect upon the synthesis
of chlorophyll pigment for these species. In the
other extreme, some species including Accia
dealbata, Pinus roxburghii, Podocarpus latifolia,
Sterculia guttata and Syzygium cumini have
contained lower amount of chlorophyll. Speading
amd Thomas (1973), Santhoskumar and Paulsamy
(2006) already reported that pollution stress
decreases the chlorophyll level in plants. However,
the other species have been drastically affected by
pollution in terms of chlorophyll production.
Varshney (1982) reported that plants appearing
green and normal at low concentration of sulphur-di
-oxide show reduced efficiency of photosynthesis.
Hence, it is known that the plants having high
chlorophyll content under field condition are
generally tolerant to air pollution.
The leaf extract pH was higher (6.5) in the
species, Ficus elastica (Table 1). In the presence of
an acidic pollutant, the leaf pH is lowered and the
decline is greater in sensitive species (Scholz and
149 Journal of Research in Biology (2011) 2: 148-152
Paulsamy et al.,2011
A (T+P) + P
10
JournalofResearchinBiology
Reck, 1977). A shift in cell sap pH towards the acid
side in the presence of an acidic pollutant might
decrease the efficiency of conversion of hexose
sugar to ascorbic acid. However, the reducing
activity of ascorbic acid is pH controlled, being
more at higher and less at lower pH. Hence, the leaf
extract pH on the higher side gives tolerance to
plants against pollution (Agarwal, 1989; Agarwal
and Tiwari, 1997).
Ascorbic acid being a strong reductant
protects chloroplast against sulphurdioxide induced
H2O2, O2ˉ and OH accumulation and also protects
the enzymes of the CO2 fixation cycle and
chlorophyll from inactivation (Tanaka et al., 1982).
Together with leaf pH it plays a significant role in
determining the SO2 sensitivity of plants
(Chaudhary and Rao, 1977). Thus plants
maintaining higher ascorbic acid level under
polluted condition are considered to be tolerant to
air pollutants. The results of the present study
revealed that the same five species of higher
chlorophyll content are also having high ascorbic
acid content in polluted regions and they are
considered to be pollution tolerants (Table 1).
The relative water content was higher for
some species such as Alnus nepalensis, Callistemon
lanceolata, Eucalyptus ficifolia, Ficus elastica,
Michelia champaca and Toona ciliata in the study
area. Relative water content is associated with
protoplasmic permeability in cells causes loss of
water and dissolved nutrients resulting in early
senescence of leaves (Masuch et al., 1988). It is
likely therefore that the tree species with high
relative water content under polluted conditions
may be tolerant to pollutants.
The obtained APTI of certain tree species
viz., Alnus nepalensis, Callistemon lanceolata,
Eucalyptus ficifolia, Ficus elastica , Michelia
champaca and Toona ciliata was higher and it was
lower in some other species like Acacia
melanoxylon, Biota orientalis, Grevillea robusta,
Jacaranda mimosifolia, Podocarpus latifolia,
Sterculia guttata, Syzgium cumini etc. (Table 1). In
addition, it is known that the pollutants released
from chemical method of pest control and
automobiles have been effectively utilized by the
tree species of higher APTI value. This is evidenced
by very narrow differences in the APTI values of
individuals of respective species between polluted
Kothagiri city and unpolluted rural areas. Different
plant species vary considerably in their
susceptibility to air pollution. The tree species with
high and low APTI can serve as tolerant and
sensitive ones respectively. Such plants can
effectively be used as indicators and pollution
scavengers (Singh and Rao, 1983; Agarwal, 1989;
Tiwari, 1991; Agarwal and Tiwari, 1997; Paulsamy
et al., 2000; Santhoskumar and Paulsamy, 2006;
Senthilkumar et al., 2008; Thanbavani et al., 2009).
Hence it is suggested that these tree species of high
APTI can be given priority for plantation
programmes in and around industrial complexes,
road sides and also in new urbanized areas so as to
reduce the effect of air pollution and makes the
environment clean for our healthy life.
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Blottnitza HV and Curranb MA. 2007. A review
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13th
Aug., Muthayammal College of Arts and
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jects and suggestions, Trakia Journal of Sciences 3
(8):14-16.
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ogy 7:338-350.
Mac Lachlon S and Zalik S. 1963. Plastid struc-
ture chlorophyll concentration and free aminoacid
composition of a chlorophyll mutant of Barley,
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KS. 1988. Single and combined effects continuous
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Santhoshkumar E and Paulsamy S. Studies on
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151 Journal of Research in Biology (2011) 2: 149-152
Paulsamy et al.,2011
JournalofResearchinBiology Paulsamy et al.,2011
Journal of Research in Biology (2011) 2: 149-152 152
Sl.
No.
Species
Total
chlorophyll
(mg/ml)
Leaf extract
pH
Ascorbic acid
(mg/g)
Relative
moisture
content
(%)
Air pollution
tolerance
index (APTI)
1 Acacia dealbata
1.30 ± 0.24
(1.63 ± 0.12)
5.3 ± 0.15
(5.9 ± 0.32)
2.23 ± 0.09
(2.57 ± 0.08)
37.28 ± 4.74
(40.56 ± 5.11)
5.21 ± 0.63
(5.99 ± 0.50)
2 A. melanoxylon
1.53 ± 0.22
(1.67 ± 0.38)
5.9 ± 0.58
(6.0 ± 0.50)
2.40 ± 0.67
(3.03 ± 0.94)
28.55 ± 5.35
(32.48 ± 5.85)
4.59 ± 0.40
(5.61 ± 0.13)
3 Alnus nepalensis
4± .13 0.70
(4.16 ± 0.71)
6.4 ± 0.15
(6.5 ± 0.20)
3.31 ± 0.20
(3.36 ± 0.14)
59.81 ± 0.39
(60.13 ± 0.14)
9.45 ± 0.12
(9.55 ± 0.20)
4 Araucaria excelsa
1.73 ± 0.26
(2.35 ± 0.23)
5.0 ± 0.55
(5.2 ± 0.64)
2.44 ± 0.38
(2.66 ± 0.45)
42.78 ± 1.78
(46.85 ± 1.77)
5.92 ± 0.55
(6.71 ± 0.83)
5 Biota orientalis
1.84 ± 0.25
(2.42 ± 0.78)
4.8 ± 0.15
(4.8 ± 0.20)
1.60 ± 0.12
(2.22 ± 0.47)
38.56 ± 1.52
(38.75 ± 2.67)
4.92 ± 0.12
(5.51 ± 0.74)
6
Callistemon
lanceolate
3.75 ± 0.64
(3.77 ± 0.66)
6.1 ± 0.61
(6.2 ± 0.61)
2.71 ± 0.79
(2.75 ± 0.66)
63.53 ± 4.47
(63.60 ± 5.50)
9.02 ± 0.23
(9.07 ± 0.26)
7
Casuarina
equisetifolia
2.28 ± 0.17
(2.62 ± 0.37)
5.8 ± 0.55
(6.1 ± 0.50)
2.16 ± 0.49
(2.79 ± 0.87)
51.70 ± 3.48
(56.06 ± 3.37)
6.93 ± 0.44
(8.10 ± 0.91)
8
Cupressus
cashmeriana
2.85 ± 0.55
(3.89 ± 0.83)
5.5 ± 0.57
(5.8 ± 0.57)
2.27 ± 0.18
(2.89 ± 0.55)
35.10 ± 1.76
(37.23 ± 3.05)
5.41 ± 0.15
(6.55 ± 1.18)
9
Elaeocarpus
tectorious
1.82 ± 0.57
(2.43 ± 0.86)
5.6 ± 0.55
(6.3 ± 0.36)
2.01 ± 0.76
(2.64 ± 0.18)
38.77 ± 8.66
(44.95 ± 9.38)
5.38 ± 1.61
(6.51 ± 1.14)
10 Eucalyptus ficifolia
2.35 ± 0.76
(2.41 ± 0.79)
5.4 ± 0.25
(5.5 ± 0.36)
2.76 ± 0.35
(2.84 ± 0.27)
62.17 ± 2.61
(62.27 ± 3.29)
8.37 ± 0.13
(8.48 ± 0.16)
11 Eucalyptus sp
1.80 ± 0.60
(2.84 ± 0.97)
4.9 ± 0.50
(5.8 ± 0.40)
2.59 ± 0.97
(2.74 ± 0.83)
50.81 ± 3.98
(55.27 ± 4.13)
6.82 ± 1.08
(7.84 ± 0.86)
12 Ficus elastica
3.36 ± 0.42
(3.38 ± 0.42)
6.5 ± 0.25
(6.6 ± 0.15)
3.50 ± 0.04
(3.56 ± 0.08)
72.30 ± 0.70
(72.62 ± 0.99)
10.67 ± 0.16
(10.80 ± 0.24)
13 Grevillea robusta
1.95 ± 0.54
(2.43 ± 0.70)
5.4 ± 0.20
(6.2 ± 0.12)
1.74 ± 0.34
(2.44 ± 0.88)
36.12 ± 1.77
(40.18 ± 2.36)
4.88 ± 0.33
(6.06 ± 0.63)
14
Jacaranda
mimosifolia
2.02 ± 0.30
(2.87 ± 0.36)
5.2 ± 0.85
(5.8 ± 0.96)
1.81 ± 0.26
(2.47 ± 0.65)
40.73 ± 8.94
(43.27 ± 8.41)
5.40 ± 0.80
(6.51 ± 0.40)
15 Kigelia pinnata
1.46 ± 0.21
(2.13 ± 0.65)
5.2 ± 0.32
(5.9 ± 0.06)
2.42 ± 0.04
(3.08 ± 0.10)
47.79 ± 2.50
(52.96 ± 3.80)
6.40 ± 0.20
(7.76 ± 0.16)
16 Michelia champaca
2.91 ± 0.49
(2.96 ± 0.47)
5.5 ± 0.59
(5.6 ± 0.67)
3.12 ± 0.66
(3.13 ± 0.53)
67.42 ± 4.99
(67.47 ± 6.12)
9.39 ± 1.09
(9.45 ± 1.10)
17 Pinus roxburghii
1.33 ± 0.10
(1.61 ± 0.25)
5.4 ± 0.53
(5.4 ± 1.13)
2.56 ± 0.07
(3.16 ± 0.53)
37.46 ± 1.13
(39.92 ± 2.05)
5.47 ± 0.12
(6.15 ± 0.30)
18 Podocarpus latifolia
1.40 ± 0.58
(2.75 ± 1.30)
6.3 ± 0.46
(6.8 ± 0.06)
2.59 ± 0.04
(2.91 ± 0.47)
28.69 ± 0.43
(34.35 ± 1.39)
4.86 ± 0.32
(6.27 ± 1.02)
19 Schleichera oleosa
1.96 ± 0.58
(2.79 ± 0.97)
6.2 ± 0.06
(6.7 ± 0.26)
2.00 ± 0.14
(3.04 ± 0.83)
42.00 ± 1.20
(45.56 ± 1.17)
5.83 ± 0.11
(7.49 ± 1.28)
20
Spathodea
companulata
2.00 ± 0.02
(2.48 ± 0.01)
4.7 ± 0.50
(5.4 ± 1.00)
1.98 ± 0.56
(2.84 ± 0.80)
55.46 ± 2.42
(59.09 ± 1.34)
6.89 ± 0.20
(8.20 ± 0.96)
21 Sterculia guttata
1.44 ± 0.64
(2.08 ± 0.81)
6.2 ± 0.15
(6.6 ± 0.20)
1.25 ± 0.02
(1.64 ± 0.12)
40.17 ± 1.23
(45.76 ± 2.34)
4.97 ± 0.10
(6.01 ± 0.28)
22 Syzygium cumini
1.23 ± 0.33
(1.78 ± 0.34)
6.2 ± 0.06
(6.6 ± 0.40)
1.42 ± 0.23
(1.89 ± 0.40)
40.61 ± 1.72
(46.19 ± 4.53)
5.12 ± 0.30
(6.20 ± 0.73)
23 Toona ciliata
2.59 ± 0.19
(2.65 ± 0.17)
5.5 ± 0.12
(5.6 ± 0.12)
2.91 ± 0.07
(2.96 ± 0.05)
59.78 ± 0.95
(59.98 ± 1.20)
8.34 ± 0.11
(8.42 ± 0.13)
24 Vernonia monosis
1.57 ± 0.53
(2.12 ± 0.90)
4.6 ± 0.44
(5.5 ± 0.29)
1.88 ± 0.07
(2.35 ± 0.47)
43.64 ± 1.22
(47.05 ± 2.32)
5.52 ± 0.35
(6.54 ± 0.95)
Table 1. The contents of total chlorophyll, ascorbic acid and relative moisture and leaf extract pH in various
tree species of Kothagiri Municipal Town, the Nilgiris with their air pollution tolerance index.

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Evaluation of air pollution tolerant tree species for Kothagiri Municipal Town, the Nilgiris, Tamil Nadu

  • 1. JournalofResearchinBiology Evaluation of air pollution tolerant tree species for Kothagiri Municipal Town, the Nilgiris, Tamil Nadu. Keywords: Air pollution tolerance index, Nilgiris, Urbanized area, Kothagiri. ABSTRACT: Air pollution tolerance index (APTI) has been determined by pooling the at- tributes viz., total chlorophyll, ascorbic acid and moisture content of leaves and leaf extract pH for certain locally available tree species in and around Kothagiri Municipal Town, the Nilgiris. Of the 24 species analyzed 6 tree species such as Alnus nepalensis, Callistemon lanceolata, Eucalyptus ficifolia, Ficus elastica, Michelia champaca and Toona ciliate recorded higher APTI values. Hence, it is suggested that these tree spe- cies can be given priority for plantation programme in and around industrial com- plexes, road sides and also new urbanized areas in Kotagiri so as to reduce the effect of air pollution and makes the environment clean. 148-152 | JRB | 2011 | Vol 1 | No 2 © Ficus Press. This Open Access article is governed by the Creative Commons Attribution License (http:// creativecommons.org/licenses/by/2.0), which gives permission for unrestricted use, non- commercial, distribution, and reproduction in all medium, provided the original work is properly cited. Submit Your Manuscript www.ficuspress.com www.jresearchbiology.com Journal of Research in biology An International Open Access Online Research Journal Authors: Senthilkumar P1 and Paulsamy S2 . Institution: 1 Department of Biotechnology, Hindusthan College of Arts and Science, Coimbatore – 641 028, 2 Department of Botany, Kongunadu Arts and Science College, Coimbatore – 641 029, Corresponding author: Paulsamy S. Email: paulsami@yahoo.com drpsenthil13@gmail.com Web Address: http://jresearchbiology.com/ Documents/RA0012.pdf. Dates: Received: 30 Apr 2011 /Accepted: 04 May 2011 /Published: 29 Jun 2011 Article Citation: Senthilkumar P and Paulsamy S. Evaluation of air pollution tolerant tree species for Kothagiri Municipal Town, the Nilgiris, Tamil Nadu. Journal of research in Biology (2011) 2: 148-152 Journal of Research in Biology An International Online Open Access Publication group Original Research paper
  • 2. JournalofResearchinBiology INTRODUCTION Air is never found absolutely clean in nature. It is indeed deteriorated every moment due to ever increasing industrial activities, automobiles etc. The industrialized countries are dumping lot of materials and wastes in their immediate environment, which is now becoming a big source of pollution. During the past many decades, there has been a growing awareness about the serious hazards of atmospheric pollution to which we are constantly exposed. Serious discussions are going on about the effects of green house gases and carbon gases on environmental security world wide (Kanchev et al., 2005, Blottnitz and Curran, 2007). The damaging effects of air pollution on vegetation have been recognized (Treshow, 1970; Chang and Terwilliger, 2000; Cape, 2003). Screening of plants for their sensitivity to air pollutants is of vital importance. Many workers like Agarwal and Tiwari, 1997, Paulsamy et al., 2000, Ramakrishnaiah and Somasekhar, 2003, Kannan, 2003, Rathinaswamy et al., 2005 have identified tolerant tree species of air pollution for some industrial cities in India. In India, Tamil Nadu is one among the leading states in industrial development. Kothagiri, one among the cities gets affected by air pollution mainly due to automobiles and agricultural pesticides in Tamil Nadu. Since, it is one of the important tourist places in Nilgiris, Kothagiri is experiencing high degree of air pollution through vehicles. In this juncture, for the control of the effect of air pollution, an attempt has been made in the present study at Kothagiri to identify suitable air pollution tolerant tree species based on air pollution tolerance index. MATERIALS AND METHODS The locally available tree species were analyzed for air pollution tolerance index (APTI) by estimating the contents of ascorbic acid, chlorophyll, relative moisture in leaf and leaf extract pH at monthly intervals from November 2006 to July, 2007. Leaves from tip, middle and basal canopy of trees were collected in the forenoon between 07.00 and 08.00 am. Care was taken for plants under investigation with respect to exposure of almost similar conditions for light, water, soil and pollutants. The collected samples were analyzed for ascorbic acid, total chlorophyll and relative water content and leaf extract pH. Unpolluted regions were taken 25km away from the city which served as control. The ascorbic acid and total chlorophyll contents were estimated respectively by the methods of Keller and Schwanger (1977) and MacLachlon and Zalik (1963). Relative water content was determined by following and the leaf extract pH was measured by using digital pH meter. The air pollution tolerance index (APTI) was determined by using the following formula proposed by Singh and Rao (1983): APTI = Where, A= ascorbic acid content in leaf (mg/g); T= total chlorophyll content in leaf (mg/g); P= leaf extract pH and R= per cent water content of the leaf. The sum value is divided by 10 to get the value in reduced scale. RESULTS AND DISCUSSION A considerable number of 24 tree species were analyzed in the municipal town, Kothagiri. It was estimated that many tree species showed wide variation in leaf chlorophyll content at the study area. The higher chlorophyll content was prominent in tree species like Alnus nepalensis, Callistemon lanceolata, Cupressus cashmeriana, Ficus elastica and Michelia champaca (Table 1). Further, it was observed that the close proximity observed between the individuals of tree species growing in polluted (Kothagiri) and unpolluted nearby areas with respect to high chlorophyll content indicates that air pollution has no marked effect upon the synthesis of chlorophyll pigment for these species. In the other extreme, some species including Accia dealbata, Pinus roxburghii, Podocarpus latifolia, Sterculia guttata and Syzygium cumini have contained lower amount of chlorophyll. Speading amd Thomas (1973), Santhoskumar and Paulsamy (2006) already reported that pollution stress decreases the chlorophyll level in plants. However, the other species have been drastically affected by pollution in terms of chlorophyll production. Varshney (1982) reported that plants appearing green and normal at low concentration of sulphur-di -oxide show reduced efficiency of photosynthesis. Hence, it is known that the plants having high chlorophyll content under field condition are generally tolerant to air pollution. The leaf extract pH was higher (6.5) in the species, Ficus elastica (Table 1). In the presence of an acidic pollutant, the leaf pH is lowered and the decline is greater in sensitive species (Scholz and 149 Journal of Research in Biology (2011) 2: 148-152 Paulsamy et al.,2011 A (T+P) + P 10
  • 3. JournalofResearchinBiology Reck, 1977). A shift in cell sap pH towards the acid side in the presence of an acidic pollutant might decrease the efficiency of conversion of hexose sugar to ascorbic acid. However, the reducing activity of ascorbic acid is pH controlled, being more at higher and less at lower pH. Hence, the leaf extract pH on the higher side gives tolerance to plants against pollution (Agarwal, 1989; Agarwal and Tiwari, 1997). Ascorbic acid being a strong reductant protects chloroplast against sulphurdioxide induced H2O2, O2ˉ and OH accumulation and also protects the enzymes of the CO2 fixation cycle and chlorophyll from inactivation (Tanaka et al., 1982). Together with leaf pH it plays a significant role in determining the SO2 sensitivity of plants (Chaudhary and Rao, 1977). Thus plants maintaining higher ascorbic acid level under polluted condition are considered to be tolerant to air pollutants. The results of the present study revealed that the same five species of higher chlorophyll content are also having high ascorbic acid content in polluted regions and they are considered to be pollution tolerants (Table 1). The relative water content was higher for some species such as Alnus nepalensis, Callistemon lanceolata, Eucalyptus ficifolia, Ficus elastica, Michelia champaca and Toona ciliata in the study area. Relative water content is associated with protoplasmic permeability in cells causes loss of water and dissolved nutrients resulting in early senescence of leaves (Masuch et al., 1988). It is likely therefore that the tree species with high relative water content under polluted conditions may be tolerant to pollutants. The obtained APTI of certain tree species viz., Alnus nepalensis, Callistemon lanceolata, Eucalyptus ficifolia, Ficus elastica , Michelia champaca and Toona ciliata was higher and it was lower in some other species like Acacia melanoxylon, Biota orientalis, Grevillea robusta, Jacaranda mimosifolia, Podocarpus latifolia, Sterculia guttata, Syzgium cumini etc. (Table 1). In addition, it is known that the pollutants released from chemical method of pest control and automobiles have been effectively utilized by the tree species of higher APTI value. This is evidenced by very narrow differences in the APTI values of individuals of respective species between polluted Kothagiri city and unpolluted rural areas. Different plant species vary considerably in their susceptibility to air pollution. The tree species with high and low APTI can serve as tolerant and sensitive ones respectively. Such plants can effectively be used as indicators and pollution scavengers (Singh and Rao, 1983; Agarwal, 1989; Tiwari, 1991; Agarwal and Tiwari, 1997; Paulsamy et al., 2000; Santhoskumar and Paulsamy, 2006; Senthilkumar et al., 2008; Thanbavani et al., 2009). Hence it is suggested that these tree species of high APTI can be given priority for plantation programmes in and around industrial complexes, road sides and also in new urbanized areas so as to reduce the effect of air pollution and makes the environment clean for our healthy life. REFERENCES Agarwal AC. 1989. Air pollution control and impact on air environment for Mandhar cement factory”. Project report; sponsored by CCI, Mandhar cement factory, NEERI, Nagpur. Agarwal S and Tiwari SL. 1997. Susceptibility level of few plants on the basis of air pollution tolerance index”, Indian Forester 319-322. Blottnitza HV and Curranb MA. 2007. A review of assessments conducted on bio-ethanol as a transportation fuel from a net energy, greenhouse gas, and environmental life cycle perspective, Journal of Cleaner Production 15(7):607-619. Cape JN. 2003. Effects of airborne volatile organic compounds on plants, Environmental Pollution 122 (1):145-157. Chang E and Terwilliger VJ. 2000. The effects of air pollution on vegetation from a geographic perspective, Progress in Physical Geography 24 (1):53-74. Chaudhary CS and Rao DN. 1977. Study of some factors in plants in controlling their susceptibility to SO2 pollution, Proc. of the Indian Natle. Sci. Academy 43:236-241. Kannan R and Paulsamy S. 2003. Evaluation of suitable tree species for the control of air pollution in Ooty city, 2003; Proceedings of the Seminar cum Exhibition on Student Projects 2002 - 2003, 12th & 13th Aug., Muthayammal College of Arts and Science, Kakaveri – 637 408. India. Tamilnadu State Council for Science and Technology, Chennai - 600 025. 93-95 Paulsamy et al.,2011 Journal of Research in Biology (2011) 2: 149-152 150
  • 4. JournalofResearchinBiology Kanchev G, Kostandieva D and Dimitrov S. 2005. Environmental pollution, some realized pro- jects and suggestions, Trakia Journal of Sciences 3 (8):14-16. Keller T and Schwanger H. 1977. Air pollution and ascorbic acid, European Jour. of For. Pathol- ogy 7:338-350. Mac Lachlon S and Zalik S. 1963. Plastid struc- ture chlorophyll concentration and free aminoacid composition of a chlorophyll mutant of Barley, Can. J. Bot., 41:1053-1062. Masuch GH, Kicinski G, Kettrup A and Boss KS. 1988. Single and combined effects continuous and discontinuous O3 andSO3 emissions on Norway spruce needles. I. Histological and cytological changes, Inter. Jour. of. Envi. Analytial Chemistry 32:213-241. Paulsamy S, Sivakumar R and Latha N. 2000. Evaluation of air pollution tolerant tree species in Coimbatore city, J. Ecol. Res. Biocon 1(2):20-23. Ramakrishnaiah H and Somasekhar RK. 2003. Higher plants biomonitors of automobile pollution, Eco. Env. Conserv., 9(3):337-343. Rathinasamy R, Paulsamy S and Manian S. 2005. Studies on the control of effect of air pollu- tion through raising suitable green cover in Palani city, In: S. Paulsamy (ed.) Proceedings of the State level Symposium on Bioresources and their Man- agement held at Kongunadu Arts and Science Col- lege, Coimbatore on 5th and 6th September 2003; 84 -88. Santhoshkumar E and Paulsamy S. Studies on identification of suitable tree species for control of air pollution in Tamilnadu, Nature Environment and Pollution Technology, 2006; 5 (4):591-599. Scholtz F and Reck S. 1977. Effects of acids on forest trees as measured by titration in-vitro inheri- tance of buffering capacity in Picea – Abies, Water, Air and Soil Pollution 8:41-45. Senthilkumar P, Paulsamy S and Anandkumar AM. 2008. Identification of air pollution tolerant tree species for the industrial city, Tuticorin, Pro- ceeding of the National Conference on Recent trends in climatic changes and coastal bio resources, held at Aditanar College, Tiruchendur on 11th and 12th December. 8-12. Singh SK and Rao DN. 1983. Evaluation of plants for their tolerance to air pollution, Proc. Sympo- sium on Air Pollution Control 218-224. Speadding DJ and Thomas WJ. 1973. Effect of sulphuroxide on the metabolism of glycolic acid by barley (Hordeum vulgare) leaves, Australian Jour. of Biol. Sci., 26:281-286. Tanaka KT, Otsubo and Kondo N. 1982. Partici- pation of hydrogen peroxide in the inactivation of calvin cycle SH enzymes in SO2 fumigated spinach leaves, Plant Cell Physiology 28:1009-1018. Thambavini DS, Sendurkumaran S and Rajes- wari G. 2009. Evaluation of plants for their toler- ance to air pollution in industrial area – a case study in Karaikudi region, Tamil Nadu, South India, J. Sci. Trans. Environ. Technov 3(2):54-58. Tiwari SL. 1991. Studies of air pollution tolerance indices of some planted trees in urban area of Bho- pal with reference to ecoplanning of industrial area, Ph.D. Thesis, Barkatullah University, Bhopal. Treshow M. 1970. Ozone damage to plants, Envi- ronmental Pollution 1:155-161. Varshney SKRK. 1982. Effect of SO2 on plant processes, Ph.D. Thesis, J.N. University, New Delhi. 151 Journal of Research in Biology (2011) 2: 149-152 Paulsamy et al.,2011
  • 5. JournalofResearchinBiology Paulsamy et al.,2011 Journal of Research in Biology (2011) 2: 149-152 152 Sl. No. Species Total chlorophyll (mg/ml) Leaf extract pH Ascorbic acid (mg/g) Relative moisture content (%) Air pollution tolerance index (APTI) 1 Acacia dealbata 1.30 ± 0.24 (1.63 ± 0.12) 5.3 ± 0.15 (5.9 ± 0.32) 2.23 ± 0.09 (2.57 ± 0.08) 37.28 ± 4.74 (40.56 ± 5.11) 5.21 ± 0.63 (5.99 ± 0.50) 2 A. melanoxylon 1.53 ± 0.22 (1.67 ± 0.38) 5.9 ± 0.58 (6.0 ± 0.50) 2.40 ± 0.67 (3.03 ± 0.94) 28.55 ± 5.35 (32.48 ± 5.85) 4.59 ± 0.40 (5.61 ± 0.13) 3 Alnus nepalensis 4± .13 0.70 (4.16 ± 0.71) 6.4 ± 0.15 (6.5 ± 0.20) 3.31 ± 0.20 (3.36 ± 0.14) 59.81 ± 0.39 (60.13 ± 0.14) 9.45 ± 0.12 (9.55 ± 0.20) 4 Araucaria excelsa 1.73 ± 0.26 (2.35 ± 0.23) 5.0 ± 0.55 (5.2 ± 0.64) 2.44 ± 0.38 (2.66 ± 0.45) 42.78 ± 1.78 (46.85 ± 1.77) 5.92 ± 0.55 (6.71 ± 0.83) 5 Biota orientalis 1.84 ± 0.25 (2.42 ± 0.78) 4.8 ± 0.15 (4.8 ± 0.20) 1.60 ± 0.12 (2.22 ± 0.47) 38.56 ± 1.52 (38.75 ± 2.67) 4.92 ± 0.12 (5.51 ± 0.74) 6 Callistemon lanceolate 3.75 ± 0.64 (3.77 ± 0.66) 6.1 ± 0.61 (6.2 ± 0.61) 2.71 ± 0.79 (2.75 ± 0.66) 63.53 ± 4.47 (63.60 ± 5.50) 9.02 ± 0.23 (9.07 ± 0.26) 7 Casuarina equisetifolia 2.28 ± 0.17 (2.62 ± 0.37) 5.8 ± 0.55 (6.1 ± 0.50) 2.16 ± 0.49 (2.79 ± 0.87) 51.70 ± 3.48 (56.06 ± 3.37) 6.93 ± 0.44 (8.10 ± 0.91) 8 Cupressus cashmeriana 2.85 ± 0.55 (3.89 ± 0.83) 5.5 ± 0.57 (5.8 ± 0.57) 2.27 ± 0.18 (2.89 ± 0.55) 35.10 ± 1.76 (37.23 ± 3.05) 5.41 ± 0.15 (6.55 ± 1.18) 9 Elaeocarpus tectorious 1.82 ± 0.57 (2.43 ± 0.86) 5.6 ± 0.55 (6.3 ± 0.36) 2.01 ± 0.76 (2.64 ± 0.18) 38.77 ± 8.66 (44.95 ± 9.38) 5.38 ± 1.61 (6.51 ± 1.14) 10 Eucalyptus ficifolia 2.35 ± 0.76 (2.41 ± 0.79) 5.4 ± 0.25 (5.5 ± 0.36) 2.76 ± 0.35 (2.84 ± 0.27) 62.17 ± 2.61 (62.27 ± 3.29) 8.37 ± 0.13 (8.48 ± 0.16) 11 Eucalyptus sp 1.80 ± 0.60 (2.84 ± 0.97) 4.9 ± 0.50 (5.8 ± 0.40) 2.59 ± 0.97 (2.74 ± 0.83) 50.81 ± 3.98 (55.27 ± 4.13) 6.82 ± 1.08 (7.84 ± 0.86) 12 Ficus elastica 3.36 ± 0.42 (3.38 ± 0.42) 6.5 ± 0.25 (6.6 ± 0.15) 3.50 ± 0.04 (3.56 ± 0.08) 72.30 ± 0.70 (72.62 ± 0.99) 10.67 ± 0.16 (10.80 ± 0.24) 13 Grevillea robusta 1.95 ± 0.54 (2.43 ± 0.70) 5.4 ± 0.20 (6.2 ± 0.12) 1.74 ± 0.34 (2.44 ± 0.88) 36.12 ± 1.77 (40.18 ± 2.36) 4.88 ± 0.33 (6.06 ± 0.63) 14 Jacaranda mimosifolia 2.02 ± 0.30 (2.87 ± 0.36) 5.2 ± 0.85 (5.8 ± 0.96) 1.81 ± 0.26 (2.47 ± 0.65) 40.73 ± 8.94 (43.27 ± 8.41) 5.40 ± 0.80 (6.51 ± 0.40) 15 Kigelia pinnata 1.46 ± 0.21 (2.13 ± 0.65) 5.2 ± 0.32 (5.9 ± 0.06) 2.42 ± 0.04 (3.08 ± 0.10) 47.79 ± 2.50 (52.96 ± 3.80) 6.40 ± 0.20 (7.76 ± 0.16) 16 Michelia champaca 2.91 ± 0.49 (2.96 ± 0.47) 5.5 ± 0.59 (5.6 ± 0.67) 3.12 ± 0.66 (3.13 ± 0.53) 67.42 ± 4.99 (67.47 ± 6.12) 9.39 ± 1.09 (9.45 ± 1.10) 17 Pinus roxburghii 1.33 ± 0.10 (1.61 ± 0.25) 5.4 ± 0.53 (5.4 ± 1.13) 2.56 ± 0.07 (3.16 ± 0.53) 37.46 ± 1.13 (39.92 ± 2.05) 5.47 ± 0.12 (6.15 ± 0.30) 18 Podocarpus latifolia 1.40 ± 0.58 (2.75 ± 1.30) 6.3 ± 0.46 (6.8 ± 0.06) 2.59 ± 0.04 (2.91 ± 0.47) 28.69 ± 0.43 (34.35 ± 1.39) 4.86 ± 0.32 (6.27 ± 1.02) 19 Schleichera oleosa 1.96 ± 0.58 (2.79 ± 0.97) 6.2 ± 0.06 (6.7 ± 0.26) 2.00 ± 0.14 (3.04 ± 0.83) 42.00 ± 1.20 (45.56 ± 1.17) 5.83 ± 0.11 (7.49 ± 1.28) 20 Spathodea companulata 2.00 ± 0.02 (2.48 ± 0.01) 4.7 ± 0.50 (5.4 ± 1.00) 1.98 ± 0.56 (2.84 ± 0.80) 55.46 ± 2.42 (59.09 ± 1.34) 6.89 ± 0.20 (8.20 ± 0.96) 21 Sterculia guttata 1.44 ± 0.64 (2.08 ± 0.81) 6.2 ± 0.15 (6.6 ± 0.20) 1.25 ± 0.02 (1.64 ± 0.12) 40.17 ± 1.23 (45.76 ± 2.34) 4.97 ± 0.10 (6.01 ± 0.28) 22 Syzygium cumini 1.23 ± 0.33 (1.78 ± 0.34) 6.2 ± 0.06 (6.6 ± 0.40) 1.42 ± 0.23 (1.89 ± 0.40) 40.61 ± 1.72 (46.19 ± 4.53) 5.12 ± 0.30 (6.20 ± 0.73) 23 Toona ciliata 2.59 ± 0.19 (2.65 ± 0.17) 5.5 ± 0.12 (5.6 ± 0.12) 2.91 ± 0.07 (2.96 ± 0.05) 59.78 ± 0.95 (59.98 ± 1.20) 8.34 ± 0.11 (8.42 ± 0.13) 24 Vernonia monosis 1.57 ± 0.53 (2.12 ± 0.90) 4.6 ± 0.44 (5.5 ± 0.29) 1.88 ± 0.07 (2.35 ± 0.47) 43.64 ± 1.22 (47.05 ± 2.32) 5.52 ± 0.35 (6.54 ± 0.95) Table 1. The contents of total chlorophyll, ascorbic acid and relative moisture and leaf extract pH in various tree species of Kothagiri Municipal Town, the Nilgiris with their air pollution tolerance index.