SlideShare a Scribd company logo
1 of 12
Download to read offline
Journal of Environment and Earth Science                                                     www.iiste.org
ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online)
Vol 2, No.1, 2012


         Total Sequestered Carbon Stock of Mangifera indica
                                     Balbhim Chavan,      Ganesh Rasal

                            Dr. Babasaheb Ambedkar Marathwada University,
                                    Aurangabad-431 004, (M.S.) India.
Abstract:
Carbon sequestration by green plants is a suitable way to reduce atmospheric CO2. In the present
investigation aboveground and belowground carbon sequestration potential of Mangifera indica from nine
sectors of Aurangabad city was measured. The total standing aboveground biomass and belowground
biomass of Mangifera indica are 82.83tha-1 and 21.54tha-1 respectively, while total standing biomass of
Mangifera indica in 2847 hectares of Aurangabad is 104.41tha-1. The sequestered carbon stalk in
aboveground and belowground standing biomass of Mangifera indica are 44.73 tha-1 and 11.63 tha-1
respectively while, total sequestered carbon of Mangifera indica in 2847 hectares area is 56.36 tha-1. The
newly developed allometric equations for Mangifera indica on the diameter class basis for AGB as a
function for DBH and height have shown high correlations.


Key words: Aboveground carbon, Allometric equation, belowground carbon, CDM, carbon sequestration
potential, climate change, carbon stock, Total Biomass.



    1.   Introduction
Global emission of carbon dioxide has increased by 18% and is damaging the environment by reaching to
the highest level after 1750. Its level increased per year by 1.5ppb in year 1990-2000, by 2ppb in
2001-2009 and by 2.3ppb in 2009-2010 which is highest in recent decades. It is contributing to global
warming and climate change as discussed in earth summit held in 1992 at Rio De-Janerio, Quoto protocol
signed in 1997 at Japan, Copenhagen conference in 2009 held at Denmark, Kankun conference in 2010
held at Maxico and Darban conference held in 2011 in South Africa (D.M., 2011). Many efforts are being
made to reduce atmospheric carbon dioxide. The Kyoto Protocol, prepared by the United Nations in the
Framework of Convention on Climate Change stipulates Clean Development Mechanisms (CDM) and its
Joint Implementation whereby storage of carbon in various terrestrial sinks may be acceptable for insertion
in national greenhouse gas inventories of each nation. Reducing greenhouse gas emissions including carbon
dioxide can be achieved by controlling emissions and avoiding unadvisable land use changes. Carbon
sequestration in growing forests is known to be a cost-effective option for mitigation of global warming and
global climatic change. Sequestration can be defined as the net removal of carbon dioxide from the
atmosphere into long lived carbon pools. Estimates of carbon stocks and stock changes in tree biomass
(above and belowground) are necessary for reporting to the United Nations Framework Convention on
Climate Change (UNFCCC) and will be required for Kyoto Protocol reporting (Green et al. 2007; Almgir
and Al-Amin, 2007).


The increasing carbon emission is of major concerns for entire world as well addressed in Kyoto protocol
(Chavan, and Rasal, 2010; Ravindranath, et. al., 1997). Biomass production in different forms plays
important role in carbon sequestration in trees. These carbon pools are composed of live and dead above and
below ground biomass, and wood products with long and short life and potential uses. Above-ground
biomass, below-ground biomass, dead wood, litter, and soil organic matter are the major carbon pools in
any ecosystem (FAO, 2005; IPCC, 2003; IPCC, 2006). Trees play an important role in the reduction of
                                                    37
Journal of Environment and Earth Science                                                      www.iiste.org
ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online)
Vol 2, No.1, 2012

carbon dioxide from atmosphere by carbon sequestration. Active absorption of CO2 from the atmosphere
through the process of photosynthesis and its subsequent storage in different plant parts in the form of
biomass in growing trees is the carbon storage (Baes et. al. 1977 and Chavan et. al. 2010). The assessment
of biomass equations for the efforts to improve carbon budget estimates is based on the link between
individual-tree and whole-stand biomass estimates (Clutter et al., 1983; Parresol, 1999), coupled with the
assumption that wood mass is about 50% carbon (Birdsey, 1992). The objective of this paper is to estimate
sequestered carbon of Mangifera indica from Aurangabad.
1.1 Plant study
The scientific name of mango tree is Mangifera indica L. It belongs to Anacardiaceae family. The canopy
of Mangifera indica is evergreen and fast growing tree. Mango is a common garden tree throughout the
tropics. Most of the fruit trees belonging to this family that are commonly known as mango trees and
belong to the species Mangifera indica. The wild Mangifera species are generally edible but have lower
quality fruits. The mango tree have adapted throughout the tropics and subtropics. Much of the spread and
naturalization has come about in conjunction with the spread of human populations. Mango tree is an
evergreen tree changeable in height from 5 to 40m in with a short straight bole reaching a diameter to 100cm.
The total tree biomass is composed of following components (Bally, 2006; Chavan and Rasal, 2011).
     1. Bark & Branches: The bark of mango tree is somewhat rough, fissured and dark brown to grey. Its
         twigs are rounded, stout, and glabrous with prominent leaf scars. Its shoots are reddish-green and
         smooth, turning light brown shoots.

    2.   Leaves: The leaves of mango tree are simple, alternate, petiolate and at 2-10 cm and distinctly
         thickened at the lower end and smell of turpentine when these are crushed. They are glabrous in
         appearance and shaped like front. They extend from 15-30 cm in length and 4-6 cm in width. They
         are reddish-brown when young and turn a shiny dark green with age.
    3.   Flowers: The flowers are in bunches, 5-7mm across and may be male or hermaphrodite. They
         consist of 5 green triangular sepals, 5 clawed with curved petals, Flowers appear in the period of
         December to May and fruits in April to August.

    4.   Fruits: The mango fruits are botanically considered to be edible drupes. They are initially with
         green peels and turn various shades of red, yellow and green colors after growth and when ripe. The
         fruits of commercially cultivated species are larger in size and more in weights. The pulp surrounds
         a stony hard coat that contains a seed in each fruits.



The mango fruit is an important source of sustenance for birds, bats, insects, and mammals. Although
grown widely, mangos prefer a warm, frost-free climate with a well-defined winter dry season. Rain and
high humidity during flowering stage and fruit development stage reduces fruit yields. The tree generally
flowers in mid to late winter, with fruits maturing in the early to mid-summer months. Mango trees are
usually between 3 and 10 m (10–33 ft.) tall but can reach up to 30 m (100 ft.) in some natural forest
situations. The canopy is evergreen with a generally spreading habit. The heavy canopy of the mango is a
good shelter and shade for both animals and humans. Mangos are well adapted to cultivation in various
soils and have been grown commercially for centuries. Today, mangos are well recognized and eaten
throughout the world. They are regarded as one of the most popular and esteemed tropical fruits (Bally,
2006).



                                                      38
Journal of Environment and Earth Science                                                      www.iiste.org
ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online)
Vol 2, No.1, 2012

1.2 Distribution: The genus Mangifera originates in tropical Asia. The large numbers of species are found
in Borneo, Java, Sumatra, and the Malay Peninsula. The most-cultivated Mangifera species, M. indica
(mango), has its origins in India and Myanmar (Bally, 2006).

India ranks first among world’s mango producing countries. It accounts for about 50% of the world’s mango
production. India’s shared around 12 million tons as against world’s production of 23 million tons as figured
in 2002-03. An increasing trend has been observed in world mango production averaging 22 million metric
tons per year. In India the major mango producing States are Andhra Pradesh, Bihar, Gujarat, Karnataka,
Maharashtra, Orissa, Tamil Nadu, Uttar Pradesh and West Bengal. Other States where mangoes are grown
include Madhya Pradesh, Kerala, Haryana, Punjab etc. Source: Database of National Horticulture Board,
Ministry of Agriculture, Govt. of India. Worldwide production is mostly concentrated in Asia, accounting for
75%. It is followed by South and Northern America with about 10% share. The other major mango producing
countries include China, Thailand, Mexico, Pakistan, Philippines, Indonesia, Brazil, Nigeria and Egypt
(ESD, 2009).

1.3 Economic Importance: The fruits of mango are is incredibly popular with the ample due to their wide
range of adaptability, high nutritive value, richness in variety, delicious taste and excellent flavor. Mango
fruit is rich source of vitamin A and C. Good mango varieties contain 20% of total soluble sugars. The acid
content of ripe desert fruit varies from 0.2 to 0.5 % and protein content is about 1 %. The wood is relatively
soft and used as timber and dried twigs are used for religious purposes. The mango fruit kernel is most
important part and contains about 8-10% good quality fat useful for saponification. Its starch is used in
confectionery industries. Mango has medicinal uses too. The ripe fruit is high in calories with diuretic and
laxative properties. It helps to increase digestive capacity (Bally, 2006; ESD, 2009).

    2.   Experimental Methodology

2.1 Study area:
                                                                                                    0
The study is located in the state of Maharashtra, in India. Aurangabad is located at the latitude 19 53’47”N
                 0
and longitude 75 23’54” E. The average day temperature ranges from 27.70C to 38.00 C while it falls from
26.90C to 20.00C during night. The average annual rainfall in Aurangabad city and adjoining area is 725.8
mm (28.57''). Relative humidity is extremely low in this region for major part of the year which ranges
between 35 to 50%, while it is highest (85%) during monsoon. The total land portion under forest cover is
               2
about 557 km which is only 7.6% area of total land area in Aurangabad (SFR, 2009). The total 28.47
sq.km area of Aurangabad city is selected for the carbon sequestration study.


The total 2847 hectares of study area from Aurangabad was selected for the carbon sequestration study. The
fig.1 shows the 9 sectors from Aurangabad as sampling locations for Mangifera indica trees studied. The
samples were collected from a representative tree of each species from each sampling plot from the study
region.



2.2 Biophysical measurements:
The height and diameter at breast height (DBH) are two main biophysical measurements which measured
for each tree sample. The mango tree height measured by Theodolite instrument follower the procedure
given elsewhere (Chavan and Rasal, 2010; Chavan and Rasal, 2012). The tree diameter was measured at
breast height (DBH) by using diameter measure tape.



2.3 Estimation of Aboveground biomass:

                                                     39
Journal of Environment and Earth Science                                                          www.iiste.org
ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online)
Vol 2, No.1, 2012

Above-ground biomass includes all living biomass above the soil. The aboveground biomass (AGB) has
been calculated by multiplying volume of biomass and wood density (Ravindranath and Ostwald, 2008).
The volume was calculated based on diameter and height. The wood density value for the Mangifera indica
species obtained from web (www.worldagroforestry.org).


                 AGB (g) = Volume of biomass (cm3) X wood density (g/cm3)

The biomass of all samples Mangifera indica trees in the all the sample plots (t) was calculated and
extrapolating it for total area (tha-1).



2.4 Estimation of Belowground biomass:
The Below Ground Biomass (BGB) includes all biomass includes all biomass of live roots excluding fine
roots having <2mm diameter (Chavan and Rasal, 2011). Biomass estimation equations for tree roots are
relatively uncommon in the literature. The belowground biomass (BGB) has been calculated by multiplying
above-ground biomass taking 0.26 as the root to shoot ratio (Cairns et al. 1997; Ravindranath and Ostwald,
2008).

           Belowground biomass (tha-1) = 0.26 X above-ground biomass (tha-1)




     3.   Result and Discussion

3.1 Biomass estimation
The estimation of the aboveground and belowground biomass in the selected tree species was performed by
estimating carbon percentage and by measuring the tree height, DBH and wood density. The study
conducted by Chavan and Rasal (2011) in University campus of Aurangabad found that carbon content of
dry biomass was 54% for Mangifera indica. The carbon concentration of different tree parts was rarely
measured directly, but generally assumed to be 50% of the dry weight on the basis of literature (Losi et
al., 2003; Jana et al., 2009) as the content of carbon in woody biomass in any component of forest on
average is around 50% of dry matter (Paladinic et al., 2009).

The standing biomass stalks in Mangifera indica trees in Aurangabad are shown in Table 1. It was observed
that sector no. 4 contain highest Mangifera indica in aboveground biomass, belowground biomass and total
standing biomass (32.31 tha-1, 8.40 tha-1 and 40.71 tha-1) followed in sector no. 8 (8.27 tha-1, 2.15 tha-1 and
10.42 tha-1), sector no. 6 (7.61 tha-1, 1.9 tha-1 and 9.59 tha-1), sector no. 9 (7.45 tha-1, 1.94 tha-1 and 9.39
tha-1), sector no. 5 (6.82 tha-1,1.79 tha-1 and 8.61 tha-1), sector no. 7 (6.79 tha-1, 1.77 tha-1 and 8.56 tha-1),
sector no. 2 (5.57 tha-1, 1.45 tha1 and 7.02 tha-1), sector no. 3 (5.39 tha-1, 1.40 tha-1 and 6.79 tha-1) and
lowest at sector no.1 (2.61 tha-1, 0.68 tha-1 and 3.29 tha-1). The total standing aboveground biomass and
belowground biomass of Mangifera indica were 82.83 tha-1 and 21.54 tha-1 respectively while, total
standing biomass of Mangifera indica in 2847 hectares area were 104.41 tha-1.


3.2 Carbon stock estimation
The sequestered carbon stalks in Mangifera indica trees in Aurangabad are shown in Table 2 and Fig. 2&3.
It was observed that sector no. 4 contain highest Mangifera indica carbon stalk in aboveground,

                                                       40
Journal of Environment and Earth Science                                                            www.iiste.org
ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online)
Vol 2, No.1, 2012

belowground and total carbon sequestered (17.44 tha-1, 4.53 tha-1 and 21.97 tha-1) followed in sector no. 8
(4.46 tha-1, 1.16 tha-1 and 5.62 tha-1), sector no. 6 (4.11 tha-1, 1.07 tha-1and 5.18 tha-1), sector no. 9 (4.02
tha-1, 1.04 tha-1and 5.06 tha-1), sector no. 5 (3.65 tha-1, 0.97 tha-1 and 4.62 tha-1), sector no. 7 (3.67 tha-1,
0.95tha-1and 4.62 tha-1), sector no. 2 (3.01 tha-1, 0.78 tha-1 and 3.79 tha-1), sector no. 3 (2.91 tha-1, 0.75 tha-1
and 3.66 tha-1) and lowest at sector no. 1 (1.41 tha-1, 0.36 tha-1 and 1.77 tha-1). The sequestered carbon stalk
in aboveground and belowground standing biomass of Mangifera indica were 44.73 tha-1 and 11.63 tha-1
respectively while, total sequestered carbon of Mangifera indica in 2847 hectares area were 56.36 tha-1
(Table 2). Hairiah, (2009) referred as 1t of Carbon is equal to 3.67tCO2. The atmospheric CO2 captured by
Mangifera indica from the Aurangabad city were 206.84 tCO2 ha-1.


The total of aboveground biomass and belowground biomass together as sequestered carbon stalk per
hectare as estimated from university campus of Aurangabad for Mangifera indica it was 30.6 Kg C ha-1
(Chavan and Rasal, 2011). The total aboveground biomass carbon stock per hectare as estimated for Shorea
robusta, Albizzia lebbek, Tectona grandis and Artocarpus integrifolia were 5.22, 6.26, 7.97 and 7.28 t C
ha-1, respectively in selected forest stands (Jana, 2009). The average standing stock of organic carbon in
Mangifera indica is higher than organic carbon content in selected well grown trees of Dr. B. A. M.
University campus which was 1.65 t/tree (Chavan and Rasal, 2010).

The Aboveground and Belowground carbon Total carbon stalk of a tree has been evaluated by sum of
Aboveground and belowground carbon stalk of Mangifera indica in (tha-1). From the Fig. 4 it is revealed
that the total carbon stalk (tha-1) at Mangifera indica from 9sectors of Aurangabad the highest carbon
content in sector 4th it was 39% followed by sector 8 (10%), sector 6 & 9 (9% each), sector 5&7 (8% each),
sector 2 & 3 (7% each) and lowest at sector 1 (3%).


3.3 Statistical Analysis
Biomass equations are used to estimate the weights of the tree based on DBH and height of the trees in the
sample area. Biomass equations are available only for some dominant commercial tree species. The
equations which are available are often only species specific and also location specific. Neither, biomass
equations developed using mature trees can be used for younger trees, nor the equations of younger trees
for mature trees. Biomass equations are not available for most local or native tree species in many regions.
It makes desirable to develop biomass equations wherever possible to suite the local tree species and age of
the stand trees in different study regions (Ravindranath and Ostwald, 2008; Chavan and Rasal, 2011).


Allometric equations describe the relation between biomass Vs diameter and height of tree. To test the
effect height and diameter on aboveground biomass of the tree the model is used Y = a + b (D) + c (H).
Where, Y is aboveground biomass (gm), D is diameter at breast height (cm), H is total height of tree (m), a
is the intercept and b, C = regression coefficients. For Mangifera indica the biomass equations developed
on the basis of diameter class < 25cm, >25 to <65 cm diameter and >65cm (Table 3).

The allometric equations were developed for aboveground biomass with height and diameter of Mangifera
indica tree on the diameter class viz. diameter below 25cm, diameter above 25cm to 65cm and diameter
above 65cm (Table 4). From the developed allometric equations for total above ground biomass (AGB) of
Mangifera indica as a function of Diameter at Breast Height and Height showed high correlation was for
equation for <25cm (95.8%), equation >25cm to <65cm (93.8%) and >65cm it was 98.6cm and high
significant P>0.00 value.


Fig.1: Allometric relationship between aboveground biomass (Kg) with Height (m) and Diameter (m) and
DBH <25cm for Mangifera indica tree. The developed allometric equation is B = - 2.43 + 0.154 D + 0.193
                                                        41
Journal of Environment and Earth Science                                                                               www.iiste.org
ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online)
Vol 2, No.1, 2012

H, where B is above-ground biomass (Kg) with D (cm) is diameter at breast height (1.3m) and H is (ft) total
height.



                                                            Biomass (Kg) Vs Diameter & height
                                            0.4
                                                          Biomass(Kg) = - 2.43 + 0.154 D + 0.193 H
                                            0.3           R-sq = 95.8%


                                            0.2
                        Biomass (Kg)




                                            0.1

                                            0.0

                                            -0.1

                                            -0.2

                                            -0.3
                                                   0.0       0.5          1.0     1.5      2.0       2.5   3.0   3.5
                                                                                DBH & Height




Fig.2: Allometric relationship between aboveground biomass (Kg) with Height (m) and Diameter (m) with
DBH >25cm to <65cm for Mangifera indica tree. The developed allometric equation is B = - 26.6 + 0.614
D + 1.39 H, where B is above-ground biomass (Kg) with D (cm) is diameter at breast height (1.3m) and H
is (ft) total height.


                                                               Biomass (Kg) Vs DBH & Height
                                             8
                                                         Biomass(Kg) = - 26.6 + 0.614 D + 1.39 H
                                             6           R-sq = 93.8%


                                             4
                             Biomass (Kg)




                                             2


                                             0


                                            -2


                                            -4
                                                   0                 10                20             30         40
                                                                                DBH & Height




Fig.2: Allometric relationship between aboveground biomass (Kg) with Height (m) and Diameter (m) with
DBH >65cm for Mangifera indica tree. The developed allometric equation is B = - 26.6 + 0.614 D + 1.39
H, where B is above-ground biomass (Kg) with D (cm) is diameter at breast height (1.3m) and H is (ft) total
height.

                                                                                  42
Journal of Environment and Earth Science                                                           www.iiste.org
ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online)
Vol 2, No.1, 2012



                                                  Biomass (Kg) Vs DBH & Height


                                   5.0         Biomass(Kg) = - 115 + 1.59 D + 3.38 H
                                               R-sq = 98.6%


                                   2.5
                    Biomass (Kg)




                                   0.0



                                   -2.5



                                   -5.0
                                          20         40           60          80       100   120
                                                                 DBH & Height




Site specific equations must be considered for accurate estimation of above-ground biomass in logged-over
tropical rainforests, although several authors have stated that for tropical forests, local species-species
allometric relationships must be employed (Alves et al., 1997; Chave et al., 2004; 2005; Brown 1997;
Schroeder, 1997). The studies in both primary and secondary forests in Southeast Asia reported the
importance of site-specific equations for accurate biomass estimation based on application and/or
comparison of the proposed pan-tropic general models (Brown 1997 and Chave et al., 2005) and observed
biomass data biomass data sets for each forest type (Bauki et al., 2009; Kenzo et al., 2009). The above
studied species specific equations useful for accurate estimation of above-ground biomass in Mangifera
indica.


4 Conclusions:
Total standing biomass of Mangifera indica in 2847 hectares of Aurangabad are 104.41tha-1. The
sequestered carbon stalk in aboveground and belowground standing biomass of Mangifera indica are 44.73
tha-1 and 11.63 tha-1 respectively while, total sequestered carbon of Mangifera indica in 2847 hectares area
are 56.36 tha-1. The atmospheric CO2 captured by Mangifera indica from the Aurangabad city are 206.84
tCO2 ha-1. The allometric regression equations indicate high correlation and accurate relationship between
aboveground biomass as a function of both variables DBH and height in the Mangifera indica in the study
area.

References:
    [1] Alves, D.S., Soares, J.V.S., Amaral, E.M.K., Mello, S.A.S., Almeida, O., Fernandes, S., Silveira,
        A.M., 1997. Biomass of primary and secondary vegetation in Rondonia, western Brazilian Amazon.
        Global change Biology, 3: 451-462.
    [2] Bally Ian S.E., 2006. Mangifera indica, Species specific for pacific island Agroforestry, V.3,
        WWW.traditionaltree.org.
    [3] Birdsey, R.A. 1992. Carbon storage and accumulation in United States forest ecosystems. Gen.
        Tech. Rep. WO-59. Washington, DC: U.S. Department of Agriculture, Forest Service. pp. 51.
    [4] Brown S., 1997. Estimating Biomass and Biomass change of Tropical Forests: a Primer. Rome,
        Italy; FAO Forestry Paper, 134, pp. 165.
    [5] Chavan B.L. and Rasal G.B., 2010. Sequestered standing carbon stock in selective tree species
        grown in University campus at Aurangabad, Maharashtra, India. IJEST, Vol.2 (7), 3003-3007.
                                                                   43
Journal of Environment and Earth Science                                                    www.iiste.org
ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online)
Vol 2, No.1, 2012

   [6] Chavan, B. L. and Rasal, G. B., 2009. Carbon storage in Selective Tree Species in University
        Campus at Aurangabad, Maharashtra, India. Proceeding of International conference & Exhibition
        on RAEP, Agra, India, 119-130.
   [7] Chavan B.L. and Rasal G.B., 2011. Potentiality of Carbon Sequestration in six year ages young
        plant from University campus of Aurangabad, Global Journal of Researches in Engineering, Vol.
        11(7), 15-20.
   [8] Rasal G. B., Babare M.G., and Chavan B. L., 2011. Sequestered carbon stalk in young Annona
        reticulata plant in Aurangabad, International conference on Climate change and social issues at
        Colombo, Sri Lanka paper presented.
   [9] Chavan B.L. and Rasal G.B., (2012). “Carbon sequestration potential of Mangifera indica in its
        various growth phases” 99th Indian Science Congress, Bhuvaneshwar, India paper presented.
   [10] Chavan B. L. and Rasal G. B., (2012). Carbon Sequestration potential of young Annona reticulate
        and Annona squamosa from University of Aurangabad, Research paper accepted for
        International Journal of Physical and Social Sciences, ISSN 2249-2496, Vol.3, in press.
   [11] Chave J, Andalo C, Brown S, Cairns MA, Chambers JQ, Eamus D, Fo¨lster FH, Fromard F,
        Higuchi N, Lescure JP, Nelson BW, Ogawa H, Puig H, Riera B, Yamakura T., 2005. Tree
        allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia
        145:87–99.
   [12] Chave J., Condit R., Aguilar S., Hernandez A., Lao S. and Perez R., 2004. Error propagation and
        scaling for tropical forest biomass estimates. Phil Trans R Soc Lond B 359:409–420.
   [13] Clutter, J.L.; Fortson, J.C.; Pienaar, L.V.; Brister, G.H.; Bailey, R.L. 1983. Timber management: a
        quantitative approach. New York: John Wiley & Sons. pp.333.
   [14] D.M., 2011. Divya Marathi Newspaper, 2011, Vol. 184(12).
   [15] FAO. 1997. Estimating biomass and biomass change of tropical forests: a primer, Rome, Italy: FAO
        Forestry Paper No.134.
   [16] FAO. 2005. Support to national forest assessments. FAO Forestry Department website
        (www.fao.org/forestry/site/24673/en).
   [17] Green, R., Tobin, B., O’Shea, M., 2007. Above and below ground biomass measurements in an
        unthinned stand of Sitka spruce (Picea sitchensis (Bong) Carr.). Eur. J. forest Res., 126: 179−188.
   [18] IPCC (Intergovernmental Panel on Climate Change) 2003. Good practice guidance or land use,
        land-use change and forestry. Institute for Global Environmental Strategies (IGES), Hayama.
   [19] IPCC (Intergovernmental Panel on Climate Change) 2006. Guidelines for national greenhouse gas
        inventories. Vol. 4, Agriculture, Forestry and other land use (AFLOLU). Institute for Global
        Environmental strategies, Hayama, Japan.
   [20] Jana, B. K., Biswas, S., Majumder, M., Roy, P. K., Mazumdar, A., 2009. Comparative Assessment
        of Carbon Sequestration Rate and Biomass Carbon Potential of Young Shorea robusta and
        Albizzia lebbek, International Journal of Hydro-Climatic Engineering Assoc. Water and
        Enviro-Modeling, 1-15.
   [21] Kenzo T., Furutani R., Hattori D., Kendawang J. J., Tanaka S., Sakurai K. and Ninomiya I., 2009.
        Allometry equations for accurate estimation of above-ground biomass in loggedover tropical
        rainforests in Sarawak, Malaysia. Journal of Forestry Research, 14: 365-372.
   [22] Losi, C.J., Siccama, T.G., Condit, R., Morales, J.E., 2003. Analysis of alternative methods for
        estimating carbon stock in young tropical plantations, Elsevier for For.Eco.Manag.184:355-368.
   [23] Mohammed Alamgir., M. Al-Amin., 2007. Organic carbon stock in trees within different
        Geopositions of Chittagaon (South) forest division, Bangladesh, Journal of Forestry Research,
        18(3): 174-180.
   [24] Paladinic, E.,Vuletic, D., Martinic, I., Marjanovic, H., Indir, K., Benko, M., and Novotny,V.,
        2009. Forest biomass and sequestered carbon estimation according to main tree components on the
        forest stand scale. Periodicum Biologorum, Vol.111, No.4, 459-466.
   [25] Parresol, B.R. 1999. Assessing tree and stand biomass: a review with examples and critical
        comparisons. Forest Science. 45: 573-593.

                                                   44
Journal of Environment and Earth Science                                                        www.iiste.org
ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online)
Vol 2, No.1, 2012

   [26] Ravindranath NH., Somashekhar BS, Gadgil M. 1997. Carbon flow in Indian forests, submitted to
        the Ministry of Environment and Forest.
   [27] Ravindranath, N.H. and Ostwald M., 2008. Carbon Inventory Methods Handbook for Greenhouse
        Gas Inventory, Carbon Mitigation and Round wood Production Projects. Springer, Vol. 29.
   [28] Schroeder P., Brown S., Birdsey JMR., Cieszewski C. 1997. Biomass estimation for temprate
        broadleaf forests of the US using inventory data. Forest Science, 43: 424-434.
   [29] SFR, 2001. Published by Forest Survey of India, Dehradun.
   [30] Hairiah, K., Sonya, D., Agus, F., Noordwijk, M.N., and Rahayu, S., 2009. Measuring Carbon
        stocks Across Land Use Systems: A Manual. Bogor, Indonesia, World Agro-forestry Center
        (ICRAF), SEA Regional Office, Brawijaya University and ICLRRD.
Tables:
Table 1: The sector wise aboveground biomass and belowground biomass of Mangifera indica in
Aurangabad
             Sectors   No. of     Aboveground             Belowground
                                                -1                           Total Standing
                                  biomass tha                           -1                 -1
                       tree                               biomass tha        Biomass tha

                1         191           2.61                  0.68               3.29

                2         407           5.57                  1.45               7.02

                3         394           5.39                  1.40               6.79

                4        2359          32.31                  8.40               40.71

                5         497           6.82                  1.79               8.61

                6         556           7.61                  1.98               9.59

                7         496           6.79                  1.77               8.56

                8         604           8.27                  2.15               10.42

                9         544           7.45                  1.94               9.39

              Total      6048          82.83                 21.54              104.41




                                                     45
Journal of Environment and Earth Science                                                                   www.iiste.org
ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online)
Vol 2, No.1, 2012

Table 2: The sector wise aboveground and belowground carbon of Mangifera indica in Aurangabad.
              Sectors    No. of      Aboveground        Belowground                 Total           Carbon
                                                  -1                    -1                            -1
                         tree        carbon tha         carbon tha                  sequestered tha

                 1        191             1.41                  0.36                         1.77

                 2        407             3.01                  0.78                         3.79

                 3        394             2.91                  0.75                         3.66

                 4        2359           17.44                  4.53                        21.97

                 5        497             3.65                  0.97                         4.62

                 6        556             4.11                  1.07                         5.18

                 7        496             3.67                  0.95                         4.62

                 8        604             4.46                  1.16                         5.62

                 9        544             4.02                  1.04                         5.06

               Total      6048           44.73                  11.63                       56.36



Table 3: The regression coefficient (a, b and c) for estimate aboveground biomass of Mangifera indica
                     Diameter class                         a                 b               c

                     < 25cm                            -2.43                 0.154          0.193

                     >25 to <65 cm                     -26.6                 0.614          1.39

                     >65 cm                             -115                 1.59           3.38


                 (a = intercept, b & C = regression coefficient, R= regression coefficient)




                                                       46
Journal of Environment and Earth Science                                                  www.iiste.org
ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online)
Vol 2, No.1, 2012

Table 4: Allometry equations based on the regression coefficient to estimate aboveground biomass of
Mangifera indica
                                                                                              2
      Diameter class       Biomass equations                                              R

      < 25cm               Biomass(Kg) = - 2.43 + 0.154 D + 0.193 H                       95.8 %

      >25 to <65 cm        Biomass(Kg) = - 26.6 + 0.614 D + 1.39 H                        93.8 %

      >65 cm               Biomass(Kg) = - 115   + 1.59 D   + 3.38 H                      98.6 %




Figures:




                                                   47
Journal of Environment and Earth Science                                                   www.iiste.org
ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online)
Vol 2, No.1, 2012




                          Figure 1: Location of study sites in Aurangabad city.




Fig.2: Aboveground carbon (tha-1) of                      Fig.3: Belowground carbon (tha-1) of
Mangifera
Mangifera indica from 9 sectors of Aurangabad.                    indica from 9 sectors of Aurangabad.




            Fig.4: Total carbon stalk (tha-1) of Mangifera indica from 9 sectors of Aurangabad

                                                   48

More Related Content

What's hot (20)

Forest classification
Forest classificationForest classification
Forest classification
 
Forest resources
Forest resourcesForest resources
Forest resources
 
Silviculture iof m.sc
Silviculture iof m.scSilviculture iof m.sc
Silviculture iof m.sc
 
Activity 3 Slide Show
Activity 3  Slide ShowActivity 3  Slide Show
Activity 3 Slide Show
 
Forest resources of india
Forest resources of indiaForest resources of india
Forest resources of india
 
Forest resources
Forest resourcesForest resources
Forest resources
 
Forest resources for environmental studies
Forest resources for environmental studiesForest resources for environmental studies
Forest resources for environmental studies
 
India forest- jica-inception report PPT.
India forest- jica-inception report PPT.India forest- jica-inception report PPT.
India forest- jica-inception report PPT.
 
Forest resources
Forest resourcesForest resources
Forest resources
 
Forest
ForestForest
Forest
 
Es ch.5 FOREST RESOURCES
Es ch.5 FOREST RESOURCESEs ch.5 FOREST RESOURCES
Es ch.5 FOREST RESOURCES
 
Introduction to forestry
Introduction to forestryIntroduction to forestry
Introduction to forestry
 
Forest Resources
Forest  ResourcesForest  Resources
Forest Resources
 
Forest resources
Forest resourcesForest resources
Forest resources
 
Forest resources
Forest resourcesForest resources
Forest resources
 
Forst management ramesh
Forst management rameshForst management ramesh
Forst management ramesh
 
Renewable and Non Renewable Resources English Lesson Summary.
Renewable and Non Renewable Resources English Lesson Summary.Renewable and Non Renewable Resources English Lesson Summary.
Renewable and Non Renewable Resources English Lesson Summary.
 
Deepak Gautam iof
Deepak Gautam iofDeepak Gautam iof
Deepak Gautam iof
 
Forest resource
Forest resourceForest resource
Forest resource
 
Floristic Investigation and Soil Analysis of Thirtharampura Reserve Forest, C...
Floristic Investigation and Soil Analysis of Thirtharampura Reserve Forest, C...Floristic Investigation and Soil Analysis of Thirtharampura Reserve Forest, C...
Floristic Investigation and Soil Analysis of Thirtharampura Reserve Forest, C...
 

Similar to Total sequestered carbon stock of mangifera indica

Influence of composted phyto residues and harvesting
Influence of composted phyto residues and harvestingInfluence of composted phyto residues and harvesting
Influence of composted phyto residues and harvestingAlexander Decker
 
Scientific Facts on Forests
Scientific Facts on ForestsScientific Facts on Forests
Scientific Facts on ForestsGreenFacts
 
An analysis on the investment of forestland modelling using the agroforestry...
An analysis on  the investment of forestland modelling using the agroforestry...An analysis on  the investment of forestland modelling using the agroforestry...
An analysis on the investment of forestland modelling using the agroforestry...Alexander Decker
 
biodiversityandenvironment-131126110013-phpapp01.pdf
biodiversityandenvironment-131126110013-phpapp01.pdfbiodiversityandenvironment-131126110013-phpapp01.pdf
biodiversityandenvironment-131126110013-phpapp01.pdfmohammedbayyomy
 
Blue Carbon Stocks in Mangrove Forests of Eastern India
Blue Carbon Stocks in Mangrove Forests of Eastern IndiaBlue Carbon Stocks in Mangrove Forests of Eastern India
Blue Carbon Stocks in Mangrove Forests of Eastern IndiaCIFOR-ICRAF
 
A review of the applications of moringa oleifera seeds extract in water treat...
A review of the applications of moringa oleifera seeds extract in water treat...A review of the applications of moringa oleifera seeds extract in water treat...
A review of the applications of moringa oleifera seeds extract in water treat...Alexander Decker
 
Implementation of “Biodegradable Hydrophobic Plants” Container for Drinking W...
Implementation of “Biodegradable Hydrophobic Plants” Container for Drinking W...Implementation of “Biodegradable Hydrophobic Plants” Container for Drinking W...
Implementation of “Biodegradable Hydrophobic Plants” Container for Drinking W...IRJET Journal
 
Biomass accumulation and Carbon Sequestration Potential of Shorea robusta and...
Biomass accumulation and Carbon Sequestration Potential of Shorea robusta and...Biomass accumulation and Carbon Sequestration Potential of Shorea robusta and...
Biomass accumulation and Carbon Sequestration Potential of Shorea robusta and...Gautam Mandal
 
Ensuring effective forest services to mankind implications for environmental ...
Ensuring effective forest services to mankind implications for environmental ...Ensuring effective forest services to mankind implications for environmental ...
Ensuring effective forest services to mankind implications for environmental ...Alexander Decker
 
Estimating stored carbon stock in oil palm (Elaeis guineensis Jacq.) plantati...
Estimating stored carbon stock in oil palm (Elaeis guineensis Jacq.) plantati...Estimating stored carbon stock in oil palm (Elaeis guineensis Jacq.) plantati...
Estimating stored carbon stock in oil palm (Elaeis guineensis Jacq.) plantati...Innspub Net
 
Estimating stored carbon stock in oil palm (Elaeis guineensis Jacq.) plantati...
Estimating stored carbon stock in oil palm (Elaeis guineensis Jacq.) plantati...Estimating stored carbon stock in oil palm (Elaeis guineensis Jacq.) plantati...
Estimating stored carbon stock in oil palm (Elaeis guineensis Jacq.) plantati...Innspub Net
 
Cover an assignment on estimation of plant species at iu campus expressional ...
Cover an assignment on estimation of plant species at iu campus expressional ...Cover an assignment on estimation of plant species at iu campus expressional ...
Cover an assignment on estimation of plant species at iu campus expressional ...iSLAMIC University, Kushtia, Bangladesh
 
Tree biomass & litterfall in Indian cities
Tree biomass & litterfall in Indian citiesTree biomass & litterfall in Indian cities
Tree biomass & litterfall in Indian citiesUtkarsh Ghate
 
A comparative evaluation of Indole-3-Butyric Acid and plant extracts as poten...
A comparative evaluation of Indole-3-Butyric Acid and plant extracts as poten...A comparative evaluation of Indole-3-Butyric Acid and plant extracts as poten...
A comparative evaluation of Indole-3-Butyric Acid and plant extracts as poten...AI Publications
 
Environmental benefits of bioenergy trees production in degraded peatland
Environmental benefits of bioenergy trees production in degraded peatland Environmental benefits of bioenergy trees production in degraded peatland
Environmental benefits of bioenergy trees production in degraded peatland International Tropical Peatlands Center
 
Adaptation, biomass and ethanol yields of sweet sorghum (sorghum bicolor (l....
Adaptation, biomass and ethanol yields of sweet sorghum (sorghum bicolor  (l....Adaptation, biomass and ethanol yields of sweet sorghum (sorghum bicolor  (l....
Adaptation, biomass and ethanol yields of sweet sorghum (sorghum bicolor (l....Alexander Decker
 

Similar to Total sequestered carbon stock of mangifera indica (20)

Influence of composted phyto residues and harvesting
Influence of composted phyto residues and harvestingInfluence of composted phyto residues and harvesting
Influence of composted phyto residues and harvesting
 
Scientific Facts on Forests
Scientific Facts on ForestsScientific Facts on Forests
Scientific Facts on Forests
 
H0364046049
H0364046049H0364046049
H0364046049
 
An analysis on the investment of forestland modelling using the agroforestry...
An analysis on  the investment of forestland modelling using the agroforestry...An analysis on  the investment of forestland modelling using the agroforestry...
An analysis on the investment of forestland modelling using the agroforestry...
 
biodiversityandenvironment-131126110013-phpapp01.pdf
biodiversityandenvironment-131126110013-phpapp01.pdfbiodiversityandenvironment-131126110013-phpapp01.pdf
biodiversityandenvironment-131126110013-phpapp01.pdf
 
EE STUDIES-1.pptx
EE STUDIES-1.pptxEE STUDIES-1.pptx
EE STUDIES-1.pptx
 
E0354034037
E0354034037E0354034037
E0354034037
 
Blue Carbon Stocks in Mangrove Forests of Eastern India
Blue Carbon Stocks in Mangrove Forests of Eastern IndiaBlue Carbon Stocks in Mangrove Forests of Eastern India
Blue Carbon Stocks in Mangrove Forests of Eastern India
 
A review of the applications of moringa oleifera seeds extract in water treat...
A review of the applications of moringa oleifera seeds extract in water treat...A review of the applications of moringa oleifera seeds extract in water treat...
A review of the applications of moringa oleifera seeds extract in water treat...
 
Implementation of “Biodegradable Hydrophobic Plants” Container for Drinking W...
Implementation of “Biodegradable Hydrophobic Plants” Container for Drinking W...Implementation of “Biodegradable Hydrophobic Plants” Container for Drinking W...
Implementation of “Biodegradable Hydrophobic Plants” Container for Drinking W...
 
Biomass accumulation and Carbon Sequestration Potential of Shorea robusta and...
Biomass accumulation and Carbon Sequestration Potential of Shorea robusta and...Biomass accumulation and Carbon Sequestration Potential of Shorea robusta and...
Biomass accumulation and Carbon Sequestration Potential of Shorea robusta and...
 
Ensuring effective forest services to mankind implications for environmental ...
Ensuring effective forest services to mankind implications for environmental ...Ensuring effective forest services to mankind implications for environmental ...
Ensuring effective forest services to mankind implications for environmental ...
 
Estimating stored carbon stock in oil palm (Elaeis guineensis Jacq.) plantati...
Estimating stored carbon stock in oil palm (Elaeis guineensis Jacq.) plantati...Estimating stored carbon stock in oil palm (Elaeis guineensis Jacq.) plantati...
Estimating stored carbon stock in oil palm (Elaeis guineensis Jacq.) plantati...
 
Estimating stored carbon stock in oil palm (Elaeis guineensis Jacq.) plantati...
Estimating stored carbon stock in oil palm (Elaeis guineensis Jacq.) plantati...Estimating stored carbon stock in oil palm (Elaeis guineensis Jacq.) plantati...
Estimating stored carbon stock in oil palm (Elaeis guineensis Jacq.) plantati...
 
Cover an assignment on estimation of plant species at iu campus expressional ...
Cover an assignment on estimation of plant species at iu campus expressional ...Cover an assignment on estimation of plant species at iu campus expressional ...
Cover an assignment on estimation of plant species at iu campus expressional ...
 
Tree biomass & litterfall in Indian cities
Tree biomass & litterfall in Indian citiesTree biomass & litterfall in Indian cities
Tree biomass & litterfall in Indian cities
 
A comparative evaluation of Indole-3-Butyric Acid and plant extracts as poten...
A comparative evaluation of Indole-3-Butyric Acid and plant extracts as poten...A comparative evaluation of Indole-3-Butyric Acid and plant extracts as poten...
A comparative evaluation of Indole-3-Butyric Acid and plant extracts as poten...
 
Environmental benefits of bioenergy trees production in degraded peatland
Environmental benefits of bioenergy trees production in degraded peatland Environmental benefits of bioenergy trees production in degraded peatland
Environmental benefits of bioenergy trees production in degraded peatland
 
Bankston Poster
Bankston PosterBankston Poster
Bankston Poster
 
Adaptation, biomass and ethanol yields of sweet sorghum (sorghum bicolor (l....
Adaptation, biomass and ethanol yields of sweet sorghum (sorghum bicolor  (l....Adaptation, biomass and ethanol yields of sweet sorghum (sorghum bicolor  (l....
Adaptation, biomass and ethanol yields of sweet sorghum (sorghum bicolor (l....
 

More from Alexander Decker

Abnormalities of hormones and inflammatory cytokines in women affected with p...
Abnormalities of hormones and inflammatory cytokines in women affected with p...Abnormalities of hormones and inflammatory cytokines in women affected with p...
Abnormalities of hormones and inflammatory cytokines in women affected with p...Alexander Decker
 
A validation of the adverse childhood experiences scale in
A validation of the adverse childhood experiences scale inA validation of the adverse childhood experiences scale in
A validation of the adverse childhood experiences scale inAlexander Decker
 
A usability evaluation framework for b2 c e commerce websites
A usability evaluation framework for b2 c e commerce websitesA usability evaluation framework for b2 c e commerce websites
A usability evaluation framework for b2 c e commerce websitesAlexander Decker
 
A universal model for managing the marketing executives in nigerian banks
A universal model for managing the marketing executives in nigerian banksA universal model for managing the marketing executives in nigerian banks
A universal model for managing the marketing executives in nigerian banksAlexander Decker
 
A unique common fixed point theorems in generalized d
A unique common fixed point theorems in generalized dA unique common fixed point theorems in generalized d
A unique common fixed point theorems in generalized dAlexander Decker
 
A trends of salmonella and antibiotic resistance
A trends of salmonella and antibiotic resistanceA trends of salmonella and antibiotic resistance
A trends of salmonella and antibiotic resistanceAlexander Decker
 
A transformational generative approach towards understanding al-istifham
A transformational  generative approach towards understanding al-istifhamA transformational  generative approach towards understanding al-istifham
A transformational generative approach towards understanding al-istifhamAlexander Decker
 
A time series analysis of the determinants of savings in namibia
A time series analysis of the determinants of savings in namibiaA time series analysis of the determinants of savings in namibia
A time series analysis of the determinants of savings in namibiaAlexander Decker
 
A therapy for physical and mental fitness of school children
A therapy for physical and mental fitness of school childrenA therapy for physical and mental fitness of school children
A therapy for physical and mental fitness of school childrenAlexander Decker
 
A theory of efficiency for managing the marketing executives in nigerian banks
A theory of efficiency for managing the marketing executives in nigerian banksA theory of efficiency for managing the marketing executives in nigerian banks
A theory of efficiency for managing the marketing executives in nigerian banksAlexander Decker
 
A systematic evaluation of link budget for
A systematic evaluation of link budget forA systematic evaluation of link budget for
A systematic evaluation of link budget forAlexander Decker
 
A synthetic review of contraceptive supplies in punjab
A synthetic review of contraceptive supplies in punjabA synthetic review of contraceptive supplies in punjab
A synthetic review of contraceptive supplies in punjabAlexander Decker
 
A synthesis of taylor’s and fayol’s management approaches for managing market...
A synthesis of taylor’s and fayol’s management approaches for managing market...A synthesis of taylor’s and fayol’s management approaches for managing market...
A synthesis of taylor’s and fayol’s management approaches for managing market...Alexander Decker
 
A survey paper on sequence pattern mining with incremental
A survey paper on sequence pattern mining with incrementalA survey paper on sequence pattern mining with incremental
A survey paper on sequence pattern mining with incrementalAlexander Decker
 
A survey on live virtual machine migrations and its techniques
A survey on live virtual machine migrations and its techniquesA survey on live virtual machine migrations and its techniques
A survey on live virtual machine migrations and its techniquesAlexander Decker
 
A survey on data mining and analysis in hadoop and mongo db
A survey on data mining and analysis in hadoop and mongo dbA survey on data mining and analysis in hadoop and mongo db
A survey on data mining and analysis in hadoop and mongo dbAlexander Decker
 
A survey on challenges to the media cloud
A survey on challenges to the media cloudA survey on challenges to the media cloud
A survey on challenges to the media cloudAlexander Decker
 
A survey of provenance leveraged
A survey of provenance leveragedA survey of provenance leveraged
A survey of provenance leveragedAlexander Decker
 
A survey of private equity investments in kenya
A survey of private equity investments in kenyaA survey of private equity investments in kenya
A survey of private equity investments in kenyaAlexander Decker
 
A study to measures the financial health of
A study to measures the financial health ofA study to measures the financial health of
A study to measures the financial health ofAlexander Decker
 

More from Alexander Decker (20)

Abnormalities of hormones and inflammatory cytokines in women affected with p...
Abnormalities of hormones and inflammatory cytokines in women affected with p...Abnormalities of hormones and inflammatory cytokines in women affected with p...
Abnormalities of hormones and inflammatory cytokines in women affected with p...
 
A validation of the adverse childhood experiences scale in
A validation of the adverse childhood experiences scale inA validation of the adverse childhood experiences scale in
A validation of the adverse childhood experiences scale in
 
A usability evaluation framework for b2 c e commerce websites
A usability evaluation framework for b2 c e commerce websitesA usability evaluation framework for b2 c e commerce websites
A usability evaluation framework for b2 c e commerce websites
 
A universal model for managing the marketing executives in nigerian banks
A universal model for managing the marketing executives in nigerian banksA universal model for managing the marketing executives in nigerian banks
A universal model for managing the marketing executives in nigerian banks
 
A unique common fixed point theorems in generalized d
A unique common fixed point theorems in generalized dA unique common fixed point theorems in generalized d
A unique common fixed point theorems in generalized d
 
A trends of salmonella and antibiotic resistance
A trends of salmonella and antibiotic resistanceA trends of salmonella and antibiotic resistance
A trends of salmonella and antibiotic resistance
 
A transformational generative approach towards understanding al-istifham
A transformational  generative approach towards understanding al-istifhamA transformational  generative approach towards understanding al-istifham
A transformational generative approach towards understanding al-istifham
 
A time series analysis of the determinants of savings in namibia
A time series analysis of the determinants of savings in namibiaA time series analysis of the determinants of savings in namibia
A time series analysis of the determinants of savings in namibia
 
A therapy for physical and mental fitness of school children
A therapy for physical and mental fitness of school childrenA therapy for physical and mental fitness of school children
A therapy for physical and mental fitness of school children
 
A theory of efficiency for managing the marketing executives in nigerian banks
A theory of efficiency for managing the marketing executives in nigerian banksA theory of efficiency for managing the marketing executives in nigerian banks
A theory of efficiency for managing the marketing executives in nigerian banks
 
A systematic evaluation of link budget for
A systematic evaluation of link budget forA systematic evaluation of link budget for
A systematic evaluation of link budget for
 
A synthetic review of contraceptive supplies in punjab
A synthetic review of contraceptive supplies in punjabA synthetic review of contraceptive supplies in punjab
A synthetic review of contraceptive supplies in punjab
 
A synthesis of taylor’s and fayol’s management approaches for managing market...
A synthesis of taylor’s and fayol’s management approaches for managing market...A synthesis of taylor’s and fayol’s management approaches for managing market...
A synthesis of taylor’s and fayol’s management approaches for managing market...
 
A survey paper on sequence pattern mining with incremental
A survey paper on sequence pattern mining with incrementalA survey paper on sequence pattern mining with incremental
A survey paper on sequence pattern mining with incremental
 
A survey on live virtual machine migrations and its techniques
A survey on live virtual machine migrations and its techniquesA survey on live virtual machine migrations and its techniques
A survey on live virtual machine migrations and its techniques
 
A survey on data mining and analysis in hadoop and mongo db
A survey on data mining and analysis in hadoop and mongo dbA survey on data mining and analysis in hadoop and mongo db
A survey on data mining and analysis in hadoop and mongo db
 
A survey on challenges to the media cloud
A survey on challenges to the media cloudA survey on challenges to the media cloud
A survey on challenges to the media cloud
 
A survey of provenance leveraged
A survey of provenance leveragedA survey of provenance leveraged
A survey of provenance leveraged
 
A survey of private equity investments in kenya
A survey of private equity investments in kenyaA survey of private equity investments in kenya
A survey of private equity investments in kenya
 
A study to measures the financial health of
A study to measures the financial health ofA study to measures the financial health of
A study to measures the financial health of
 

Recently uploaded

Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 

Recently uploaded (20)

Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 

Total sequestered carbon stock of mangifera indica

  • 1. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.1, 2012 Total Sequestered Carbon Stock of Mangifera indica Balbhim Chavan, Ganesh Rasal Dr. Babasaheb Ambedkar Marathwada University, Aurangabad-431 004, (M.S.) India. Abstract: Carbon sequestration by green plants is a suitable way to reduce atmospheric CO2. In the present investigation aboveground and belowground carbon sequestration potential of Mangifera indica from nine sectors of Aurangabad city was measured. The total standing aboveground biomass and belowground biomass of Mangifera indica are 82.83tha-1 and 21.54tha-1 respectively, while total standing biomass of Mangifera indica in 2847 hectares of Aurangabad is 104.41tha-1. The sequestered carbon stalk in aboveground and belowground standing biomass of Mangifera indica are 44.73 tha-1 and 11.63 tha-1 respectively while, total sequestered carbon of Mangifera indica in 2847 hectares area is 56.36 tha-1. The newly developed allometric equations for Mangifera indica on the diameter class basis for AGB as a function for DBH and height have shown high correlations. Key words: Aboveground carbon, Allometric equation, belowground carbon, CDM, carbon sequestration potential, climate change, carbon stock, Total Biomass. 1. Introduction Global emission of carbon dioxide has increased by 18% and is damaging the environment by reaching to the highest level after 1750. Its level increased per year by 1.5ppb in year 1990-2000, by 2ppb in 2001-2009 and by 2.3ppb in 2009-2010 which is highest in recent decades. It is contributing to global warming and climate change as discussed in earth summit held in 1992 at Rio De-Janerio, Quoto protocol signed in 1997 at Japan, Copenhagen conference in 2009 held at Denmark, Kankun conference in 2010 held at Maxico and Darban conference held in 2011 in South Africa (D.M., 2011). Many efforts are being made to reduce atmospheric carbon dioxide. The Kyoto Protocol, prepared by the United Nations in the Framework of Convention on Climate Change stipulates Clean Development Mechanisms (CDM) and its Joint Implementation whereby storage of carbon in various terrestrial sinks may be acceptable for insertion in national greenhouse gas inventories of each nation. Reducing greenhouse gas emissions including carbon dioxide can be achieved by controlling emissions and avoiding unadvisable land use changes. Carbon sequestration in growing forests is known to be a cost-effective option for mitigation of global warming and global climatic change. Sequestration can be defined as the net removal of carbon dioxide from the atmosphere into long lived carbon pools. Estimates of carbon stocks and stock changes in tree biomass (above and belowground) are necessary for reporting to the United Nations Framework Convention on Climate Change (UNFCCC) and will be required for Kyoto Protocol reporting (Green et al. 2007; Almgir and Al-Amin, 2007). The increasing carbon emission is of major concerns for entire world as well addressed in Kyoto protocol (Chavan, and Rasal, 2010; Ravindranath, et. al., 1997). Biomass production in different forms plays important role in carbon sequestration in trees. These carbon pools are composed of live and dead above and below ground biomass, and wood products with long and short life and potential uses. Above-ground biomass, below-ground biomass, dead wood, litter, and soil organic matter are the major carbon pools in any ecosystem (FAO, 2005; IPCC, 2003; IPCC, 2006). Trees play an important role in the reduction of 37
  • 2. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.1, 2012 carbon dioxide from atmosphere by carbon sequestration. Active absorption of CO2 from the atmosphere through the process of photosynthesis and its subsequent storage in different plant parts in the form of biomass in growing trees is the carbon storage (Baes et. al. 1977 and Chavan et. al. 2010). The assessment of biomass equations for the efforts to improve carbon budget estimates is based on the link between individual-tree and whole-stand biomass estimates (Clutter et al., 1983; Parresol, 1999), coupled with the assumption that wood mass is about 50% carbon (Birdsey, 1992). The objective of this paper is to estimate sequestered carbon of Mangifera indica from Aurangabad. 1.1 Plant study The scientific name of mango tree is Mangifera indica L. It belongs to Anacardiaceae family. The canopy of Mangifera indica is evergreen and fast growing tree. Mango is a common garden tree throughout the tropics. Most of the fruit trees belonging to this family that are commonly known as mango trees and belong to the species Mangifera indica. The wild Mangifera species are generally edible but have lower quality fruits. The mango tree have adapted throughout the tropics and subtropics. Much of the spread and naturalization has come about in conjunction with the spread of human populations. Mango tree is an evergreen tree changeable in height from 5 to 40m in with a short straight bole reaching a diameter to 100cm. The total tree biomass is composed of following components (Bally, 2006; Chavan and Rasal, 2011). 1. Bark & Branches: The bark of mango tree is somewhat rough, fissured and dark brown to grey. Its twigs are rounded, stout, and glabrous with prominent leaf scars. Its shoots are reddish-green and smooth, turning light brown shoots. 2. Leaves: The leaves of mango tree are simple, alternate, petiolate and at 2-10 cm and distinctly thickened at the lower end and smell of turpentine when these are crushed. They are glabrous in appearance and shaped like front. They extend from 15-30 cm in length and 4-6 cm in width. They are reddish-brown when young and turn a shiny dark green with age. 3. Flowers: The flowers are in bunches, 5-7mm across and may be male or hermaphrodite. They consist of 5 green triangular sepals, 5 clawed with curved petals, Flowers appear in the period of December to May and fruits in April to August. 4. Fruits: The mango fruits are botanically considered to be edible drupes. They are initially with green peels and turn various shades of red, yellow and green colors after growth and when ripe. The fruits of commercially cultivated species are larger in size and more in weights. The pulp surrounds a stony hard coat that contains a seed in each fruits. The mango fruit is an important source of sustenance for birds, bats, insects, and mammals. Although grown widely, mangos prefer a warm, frost-free climate with a well-defined winter dry season. Rain and high humidity during flowering stage and fruit development stage reduces fruit yields. The tree generally flowers in mid to late winter, with fruits maturing in the early to mid-summer months. Mango trees are usually between 3 and 10 m (10–33 ft.) tall but can reach up to 30 m (100 ft.) in some natural forest situations. The canopy is evergreen with a generally spreading habit. The heavy canopy of the mango is a good shelter and shade for both animals and humans. Mangos are well adapted to cultivation in various soils and have been grown commercially for centuries. Today, mangos are well recognized and eaten throughout the world. They are regarded as one of the most popular and esteemed tropical fruits (Bally, 2006). 38
  • 3. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.1, 2012 1.2 Distribution: The genus Mangifera originates in tropical Asia. The large numbers of species are found in Borneo, Java, Sumatra, and the Malay Peninsula. The most-cultivated Mangifera species, M. indica (mango), has its origins in India and Myanmar (Bally, 2006). India ranks first among world’s mango producing countries. It accounts for about 50% of the world’s mango production. India’s shared around 12 million tons as against world’s production of 23 million tons as figured in 2002-03. An increasing trend has been observed in world mango production averaging 22 million metric tons per year. In India the major mango producing States are Andhra Pradesh, Bihar, Gujarat, Karnataka, Maharashtra, Orissa, Tamil Nadu, Uttar Pradesh and West Bengal. Other States where mangoes are grown include Madhya Pradesh, Kerala, Haryana, Punjab etc. Source: Database of National Horticulture Board, Ministry of Agriculture, Govt. of India. Worldwide production is mostly concentrated in Asia, accounting for 75%. It is followed by South and Northern America with about 10% share. The other major mango producing countries include China, Thailand, Mexico, Pakistan, Philippines, Indonesia, Brazil, Nigeria and Egypt (ESD, 2009). 1.3 Economic Importance: The fruits of mango are is incredibly popular with the ample due to their wide range of adaptability, high nutritive value, richness in variety, delicious taste and excellent flavor. Mango fruit is rich source of vitamin A and C. Good mango varieties contain 20% of total soluble sugars. The acid content of ripe desert fruit varies from 0.2 to 0.5 % and protein content is about 1 %. The wood is relatively soft and used as timber and dried twigs are used for religious purposes. The mango fruit kernel is most important part and contains about 8-10% good quality fat useful for saponification. Its starch is used in confectionery industries. Mango has medicinal uses too. The ripe fruit is high in calories with diuretic and laxative properties. It helps to increase digestive capacity (Bally, 2006; ESD, 2009). 2. Experimental Methodology 2.1 Study area: 0 The study is located in the state of Maharashtra, in India. Aurangabad is located at the latitude 19 53’47”N 0 and longitude 75 23’54” E. The average day temperature ranges from 27.70C to 38.00 C while it falls from 26.90C to 20.00C during night. The average annual rainfall in Aurangabad city and adjoining area is 725.8 mm (28.57''). Relative humidity is extremely low in this region for major part of the year which ranges between 35 to 50%, while it is highest (85%) during monsoon. The total land portion under forest cover is 2 about 557 km which is only 7.6% area of total land area in Aurangabad (SFR, 2009). The total 28.47 sq.km area of Aurangabad city is selected for the carbon sequestration study. The total 2847 hectares of study area from Aurangabad was selected for the carbon sequestration study. The fig.1 shows the 9 sectors from Aurangabad as sampling locations for Mangifera indica trees studied. The samples were collected from a representative tree of each species from each sampling plot from the study region. 2.2 Biophysical measurements: The height and diameter at breast height (DBH) are two main biophysical measurements which measured for each tree sample. The mango tree height measured by Theodolite instrument follower the procedure given elsewhere (Chavan and Rasal, 2010; Chavan and Rasal, 2012). The tree diameter was measured at breast height (DBH) by using diameter measure tape. 2.3 Estimation of Aboveground biomass: 39
  • 4. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.1, 2012 Above-ground biomass includes all living biomass above the soil. The aboveground biomass (AGB) has been calculated by multiplying volume of biomass and wood density (Ravindranath and Ostwald, 2008). The volume was calculated based on diameter and height. The wood density value for the Mangifera indica species obtained from web (www.worldagroforestry.org). AGB (g) = Volume of biomass (cm3) X wood density (g/cm3) The biomass of all samples Mangifera indica trees in the all the sample plots (t) was calculated and extrapolating it for total area (tha-1). 2.4 Estimation of Belowground biomass: The Below Ground Biomass (BGB) includes all biomass includes all biomass of live roots excluding fine roots having <2mm diameter (Chavan and Rasal, 2011). Biomass estimation equations for tree roots are relatively uncommon in the literature. The belowground biomass (BGB) has been calculated by multiplying above-ground biomass taking 0.26 as the root to shoot ratio (Cairns et al. 1997; Ravindranath and Ostwald, 2008). Belowground biomass (tha-1) = 0.26 X above-ground biomass (tha-1) 3. Result and Discussion 3.1 Biomass estimation The estimation of the aboveground and belowground biomass in the selected tree species was performed by estimating carbon percentage and by measuring the tree height, DBH and wood density. The study conducted by Chavan and Rasal (2011) in University campus of Aurangabad found that carbon content of dry biomass was 54% for Mangifera indica. The carbon concentration of different tree parts was rarely measured directly, but generally assumed to be 50% of the dry weight on the basis of literature (Losi et al., 2003; Jana et al., 2009) as the content of carbon in woody biomass in any component of forest on average is around 50% of dry matter (Paladinic et al., 2009). The standing biomass stalks in Mangifera indica trees in Aurangabad are shown in Table 1. It was observed that sector no. 4 contain highest Mangifera indica in aboveground biomass, belowground biomass and total standing biomass (32.31 tha-1, 8.40 tha-1 and 40.71 tha-1) followed in sector no. 8 (8.27 tha-1, 2.15 tha-1 and 10.42 tha-1), sector no. 6 (7.61 tha-1, 1.9 tha-1 and 9.59 tha-1), sector no. 9 (7.45 tha-1, 1.94 tha-1 and 9.39 tha-1), sector no. 5 (6.82 tha-1,1.79 tha-1 and 8.61 tha-1), sector no. 7 (6.79 tha-1, 1.77 tha-1 and 8.56 tha-1), sector no. 2 (5.57 tha-1, 1.45 tha1 and 7.02 tha-1), sector no. 3 (5.39 tha-1, 1.40 tha-1 and 6.79 tha-1) and lowest at sector no.1 (2.61 tha-1, 0.68 tha-1 and 3.29 tha-1). The total standing aboveground biomass and belowground biomass of Mangifera indica were 82.83 tha-1 and 21.54 tha-1 respectively while, total standing biomass of Mangifera indica in 2847 hectares area were 104.41 tha-1. 3.2 Carbon stock estimation The sequestered carbon stalks in Mangifera indica trees in Aurangabad are shown in Table 2 and Fig. 2&3. It was observed that sector no. 4 contain highest Mangifera indica carbon stalk in aboveground, 40
  • 5. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.1, 2012 belowground and total carbon sequestered (17.44 tha-1, 4.53 tha-1 and 21.97 tha-1) followed in sector no. 8 (4.46 tha-1, 1.16 tha-1 and 5.62 tha-1), sector no. 6 (4.11 tha-1, 1.07 tha-1and 5.18 tha-1), sector no. 9 (4.02 tha-1, 1.04 tha-1and 5.06 tha-1), sector no. 5 (3.65 tha-1, 0.97 tha-1 and 4.62 tha-1), sector no. 7 (3.67 tha-1, 0.95tha-1and 4.62 tha-1), sector no. 2 (3.01 tha-1, 0.78 tha-1 and 3.79 tha-1), sector no. 3 (2.91 tha-1, 0.75 tha-1 and 3.66 tha-1) and lowest at sector no. 1 (1.41 tha-1, 0.36 tha-1 and 1.77 tha-1). The sequestered carbon stalk in aboveground and belowground standing biomass of Mangifera indica were 44.73 tha-1 and 11.63 tha-1 respectively while, total sequestered carbon of Mangifera indica in 2847 hectares area were 56.36 tha-1 (Table 2). Hairiah, (2009) referred as 1t of Carbon is equal to 3.67tCO2. The atmospheric CO2 captured by Mangifera indica from the Aurangabad city were 206.84 tCO2 ha-1. The total of aboveground biomass and belowground biomass together as sequestered carbon stalk per hectare as estimated from university campus of Aurangabad for Mangifera indica it was 30.6 Kg C ha-1 (Chavan and Rasal, 2011). The total aboveground biomass carbon stock per hectare as estimated for Shorea robusta, Albizzia lebbek, Tectona grandis and Artocarpus integrifolia were 5.22, 6.26, 7.97 and 7.28 t C ha-1, respectively in selected forest stands (Jana, 2009). The average standing stock of organic carbon in Mangifera indica is higher than organic carbon content in selected well grown trees of Dr. B. A. M. University campus which was 1.65 t/tree (Chavan and Rasal, 2010). The Aboveground and Belowground carbon Total carbon stalk of a tree has been evaluated by sum of Aboveground and belowground carbon stalk of Mangifera indica in (tha-1). From the Fig. 4 it is revealed that the total carbon stalk (tha-1) at Mangifera indica from 9sectors of Aurangabad the highest carbon content in sector 4th it was 39% followed by sector 8 (10%), sector 6 & 9 (9% each), sector 5&7 (8% each), sector 2 & 3 (7% each) and lowest at sector 1 (3%). 3.3 Statistical Analysis Biomass equations are used to estimate the weights of the tree based on DBH and height of the trees in the sample area. Biomass equations are available only for some dominant commercial tree species. The equations which are available are often only species specific and also location specific. Neither, biomass equations developed using mature trees can be used for younger trees, nor the equations of younger trees for mature trees. Biomass equations are not available for most local or native tree species in many regions. It makes desirable to develop biomass equations wherever possible to suite the local tree species and age of the stand trees in different study regions (Ravindranath and Ostwald, 2008; Chavan and Rasal, 2011). Allometric equations describe the relation between biomass Vs diameter and height of tree. To test the effect height and diameter on aboveground biomass of the tree the model is used Y = a + b (D) + c (H). Where, Y is aboveground biomass (gm), D is diameter at breast height (cm), H is total height of tree (m), a is the intercept and b, C = regression coefficients. For Mangifera indica the biomass equations developed on the basis of diameter class < 25cm, >25 to <65 cm diameter and >65cm (Table 3). The allometric equations were developed for aboveground biomass with height and diameter of Mangifera indica tree on the diameter class viz. diameter below 25cm, diameter above 25cm to 65cm and diameter above 65cm (Table 4). From the developed allometric equations for total above ground biomass (AGB) of Mangifera indica as a function of Diameter at Breast Height and Height showed high correlation was for equation for <25cm (95.8%), equation >25cm to <65cm (93.8%) and >65cm it was 98.6cm and high significant P>0.00 value. Fig.1: Allometric relationship between aboveground biomass (Kg) with Height (m) and Diameter (m) and DBH <25cm for Mangifera indica tree. The developed allometric equation is B = - 2.43 + 0.154 D + 0.193 41
  • 6. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.1, 2012 H, where B is above-ground biomass (Kg) with D (cm) is diameter at breast height (1.3m) and H is (ft) total height. Biomass (Kg) Vs Diameter & height 0.4 Biomass(Kg) = - 2.43 + 0.154 D + 0.193 H 0.3 R-sq = 95.8% 0.2 Biomass (Kg) 0.1 0.0 -0.1 -0.2 -0.3 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 DBH & Height Fig.2: Allometric relationship between aboveground biomass (Kg) with Height (m) and Diameter (m) with DBH >25cm to <65cm for Mangifera indica tree. The developed allometric equation is B = - 26.6 + 0.614 D + 1.39 H, where B is above-ground biomass (Kg) with D (cm) is diameter at breast height (1.3m) and H is (ft) total height. Biomass (Kg) Vs DBH & Height 8 Biomass(Kg) = - 26.6 + 0.614 D + 1.39 H 6 R-sq = 93.8% 4 Biomass (Kg) 2 0 -2 -4 0 10 20 30 40 DBH & Height Fig.2: Allometric relationship between aboveground biomass (Kg) with Height (m) and Diameter (m) with DBH >65cm for Mangifera indica tree. The developed allometric equation is B = - 26.6 + 0.614 D + 1.39 H, where B is above-ground biomass (Kg) with D (cm) is diameter at breast height (1.3m) and H is (ft) total height. 42
  • 7. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.1, 2012 Biomass (Kg) Vs DBH & Height 5.0 Biomass(Kg) = - 115 + 1.59 D + 3.38 H R-sq = 98.6% 2.5 Biomass (Kg) 0.0 -2.5 -5.0 20 40 60 80 100 120 DBH & Height Site specific equations must be considered for accurate estimation of above-ground biomass in logged-over tropical rainforests, although several authors have stated that for tropical forests, local species-species allometric relationships must be employed (Alves et al., 1997; Chave et al., 2004; 2005; Brown 1997; Schroeder, 1997). The studies in both primary and secondary forests in Southeast Asia reported the importance of site-specific equations for accurate biomass estimation based on application and/or comparison of the proposed pan-tropic general models (Brown 1997 and Chave et al., 2005) and observed biomass data biomass data sets for each forest type (Bauki et al., 2009; Kenzo et al., 2009). The above studied species specific equations useful for accurate estimation of above-ground biomass in Mangifera indica. 4 Conclusions: Total standing biomass of Mangifera indica in 2847 hectares of Aurangabad are 104.41tha-1. The sequestered carbon stalk in aboveground and belowground standing biomass of Mangifera indica are 44.73 tha-1 and 11.63 tha-1 respectively while, total sequestered carbon of Mangifera indica in 2847 hectares area are 56.36 tha-1. The atmospheric CO2 captured by Mangifera indica from the Aurangabad city are 206.84 tCO2 ha-1. The allometric regression equations indicate high correlation and accurate relationship between aboveground biomass as a function of both variables DBH and height in the Mangifera indica in the study area. References: [1] Alves, D.S., Soares, J.V.S., Amaral, E.M.K., Mello, S.A.S., Almeida, O., Fernandes, S., Silveira, A.M., 1997. Biomass of primary and secondary vegetation in Rondonia, western Brazilian Amazon. Global change Biology, 3: 451-462. [2] Bally Ian S.E., 2006. Mangifera indica, Species specific for pacific island Agroforestry, V.3, WWW.traditionaltree.org. [3] Birdsey, R.A. 1992. Carbon storage and accumulation in United States forest ecosystems. Gen. Tech. Rep. WO-59. Washington, DC: U.S. Department of Agriculture, Forest Service. pp. 51. [4] Brown S., 1997. Estimating Biomass and Biomass change of Tropical Forests: a Primer. Rome, Italy; FAO Forestry Paper, 134, pp. 165. [5] Chavan B.L. and Rasal G.B., 2010. Sequestered standing carbon stock in selective tree species grown in University campus at Aurangabad, Maharashtra, India. IJEST, Vol.2 (7), 3003-3007. 43
  • 8. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.1, 2012 [6] Chavan, B. L. and Rasal, G. B., 2009. Carbon storage in Selective Tree Species in University Campus at Aurangabad, Maharashtra, India. Proceeding of International conference & Exhibition on RAEP, Agra, India, 119-130. [7] Chavan B.L. and Rasal G.B., 2011. Potentiality of Carbon Sequestration in six year ages young plant from University campus of Aurangabad, Global Journal of Researches in Engineering, Vol. 11(7), 15-20. [8] Rasal G. B., Babare M.G., and Chavan B. L., 2011. Sequestered carbon stalk in young Annona reticulata plant in Aurangabad, International conference on Climate change and social issues at Colombo, Sri Lanka paper presented. [9] Chavan B.L. and Rasal G.B., (2012). “Carbon sequestration potential of Mangifera indica in its various growth phases” 99th Indian Science Congress, Bhuvaneshwar, India paper presented. [10] Chavan B. L. and Rasal G. B., (2012). Carbon Sequestration potential of young Annona reticulate and Annona squamosa from University of Aurangabad, Research paper accepted for International Journal of Physical and Social Sciences, ISSN 2249-2496, Vol.3, in press. [11] Chave J, Andalo C, Brown S, Cairns MA, Chambers JQ, Eamus D, Fo¨lster FH, Fromard F, Higuchi N, Lescure JP, Nelson BW, Ogawa H, Puig H, Riera B, Yamakura T., 2005. Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia 145:87–99. [12] Chave J., Condit R., Aguilar S., Hernandez A., Lao S. and Perez R., 2004. Error propagation and scaling for tropical forest biomass estimates. Phil Trans R Soc Lond B 359:409–420. [13] Clutter, J.L.; Fortson, J.C.; Pienaar, L.V.; Brister, G.H.; Bailey, R.L. 1983. Timber management: a quantitative approach. New York: John Wiley & Sons. pp.333. [14] D.M., 2011. Divya Marathi Newspaper, 2011, Vol. 184(12). [15] FAO. 1997. Estimating biomass and biomass change of tropical forests: a primer, Rome, Italy: FAO Forestry Paper No.134. [16] FAO. 2005. Support to national forest assessments. FAO Forestry Department website (www.fao.org/forestry/site/24673/en). [17] Green, R., Tobin, B., O’Shea, M., 2007. Above and below ground biomass measurements in an unthinned stand of Sitka spruce (Picea sitchensis (Bong) Carr.). Eur. J. forest Res., 126: 179−188. [18] IPCC (Intergovernmental Panel on Climate Change) 2003. Good practice guidance or land use, land-use change and forestry. Institute for Global Environmental Strategies (IGES), Hayama. [19] IPCC (Intergovernmental Panel on Climate Change) 2006. Guidelines for national greenhouse gas inventories. Vol. 4, Agriculture, Forestry and other land use (AFLOLU). Institute for Global Environmental strategies, Hayama, Japan. [20] Jana, B. K., Biswas, S., Majumder, M., Roy, P. K., Mazumdar, A., 2009. Comparative Assessment of Carbon Sequestration Rate and Biomass Carbon Potential of Young Shorea robusta and Albizzia lebbek, International Journal of Hydro-Climatic Engineering Assoc. Water and Enviro-Modeling, 1-15. [21] Kenzo T., Furutani R., Hattori D., Kendawang J. J., Tanaka S., Sakurai K. and Ninomiya I., 2009. Allometry equations for accurate estimation of above-ground biomass in loggedover tropical rainforests in Sarawak, Malaysia. Journal of Forestry Research, 14: 365-372. [22] Losi, C.J., Siccama, T.G., Condit, R., Morales, J.E., 2003. Analysis of alternative methods for estimating carbon stock in young tropical plantations, Elsevier for For.Eco.Manag.184:355-368. [23] Mohammed Alamgir., M. Al-Amin., 2007. Organic carbon stock in trees within different Geopositions of Chittagaon (South) forest division, Bangladesh, Journal of Forestry Research, 18(3): 174-180. [24] Paladinic, E.,Vuletic, D., Martinic, I., Marjanovic, H., Indir, K., Benko, M., and Novotny,V., 2009. Forest biomass and sequestered carbon estimation according to main tree components on the forest stand scale. Periodicum Biologorum, Vol.111, No.4, 459-466. [25] Parresol, B.R. 1999. Assessing tree and stand biomass: a review with examples and critical comparisons. Forest Science. 45: 573-593. 44
  • 9. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.1, 2012 [26] Ravindranath NH., Somashekhar BS, Gadgil M. 1997. Carbon flow in Indian forests, submitted to the Ministry of Environment and Forest. [27] Ravindranath, N.H. and Ostwald M., 2008. Carbon Inventory Methods Handbook for Greenhouse Gas Inventory, Carbon Mitigation and Round wood Production Projects. Springer, Vol. 29. [28] Schroeder P., Brown S., Birdsey JMR., Cieszewski C. 1997. Biomass estimation for temprate broadleaf forests of the US using inventory data. Forest Science, 43: 424-434. [29] SFR, 2001. Published by Forest Survey of India, Dehradun. [30] Hairiah, K., Sonya, D., Agus, F., Noordwijk, M.N., and Rahayu, S., 2009. Measuring Carbon stocks Across Land Use Systems: A Manual. Bogor, Indonesia, World Agro-forestry Center (ICRAF), SEA Regional Office, Brawijaya University and ICLRRD. Tables: Table 1: The sector wise aboveground biomass and belowground biomass of Mangifera indica in Aurangabad Sectors No. of Aboveground Belowground -1 Total Standing biomass tha -1 -1 tree biomass tha Biomass tha 1 191 2.61 0.68 3.29 2 407 5.57 1.45 7.02 3 394 5.39 1.40 6.79 4 2359 32.31 8.40 40.71 5 497 6.82 1.79 8.61 6 556 7.61 1.98 9.59 7 496 6.79 1.77 8.56 8 604 8.27 2.15 10.42 9 544 7.45 1.94 9.39 Total 6048 82.83 21.54 104.41 45
  • 10. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.1, 2012 Table 2: The sector wise aboveground and belowground carbon of Mangifera indica in Aurangabad. Sectors No. of Aboveground Belowground Total Carbon -1 -1 -1 tree carbon tha carbon tha sequestered tha 1 191 1.41 0.36 1.77 2 407 3.01 0.78 3.79 3 394 2.91 0.75 3.66 4 2359 17.44 4.53 21.97 5 497 3.65 0.97 4.62 6 556 4.11 1.07 5.18 7 496 3.67 0.95 4.62 8 604 4.46 1.16 5.62 9 544 4.02 1.04 5.06 Total 6048 44.73 11.63 56.36 Table 3: The regression coefficient (a, b and c) for estimate aboveground biomass of Mangifera indica Diameter class a b c < 25cm -2.43 0.154 0.193 >25 to <65 cm -26.6 0.614 1.39 >65 cm -115 1.59 3.38 (a = intercept, b & C = regression coefficient, R= regression coefficient) 46
  • 11. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.1, 2012 Table 4: Allometry equations based on the regression coefficient to estimate aboveground biomass of Mangifera indica 2 Diameter class Biomass equations R < 25cm Biomass(Kg) = - 2.43 + 0.154 D + 0.193 H 95.8 % >25 to <65 cm Biomass(Kg) = - 26.6 + 0.614 D + 1.39 H 93.8 % >65 cm Biomass(Kg) = - 115 + 1.59 D + 3.38 H 98.6 % Figures: 47
  • 12. Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol 2, No.1, 2012 Figure 1: Location of study sites in Aurangabad city. Fig.2: Aboveground carbon (tha-1) of Fig.3: Belowground carbon (tha-1) of Mangifera Mangifera indica from 9 sectors of Aurangabad. indica from 9 sectors of Aurangabad. Fig.4: Total carbon stalk (tha-1) of Mangifera indica from 9 sectors of Aurangabad 48