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APPENDIX
Datasheet-1
Biophysical Non-destructive Monitoring of Trees in Forest Areas of
Dangs (N&S) and Valsad (N&S) Forest Divisions, Gujarat
Division: Range: Datasheet No:
Round Compartment No. or Village: FST Code
Quadrate Code: Coordinates: North
East FD Code
No. Species Name (Vernacular Name) Biophysical Parameters of Trees GBH (cm)
and Height (mt) Total
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Destructive Sampling
Sample type Green weight (gm)
1 Herbs/Grass (30cm x 30cm)
2 Forest Floor (30cm x 30cm)
3 Soil (0-30cm depth)
Green weight and Dry Weight of Samples: Datasheet-2
Qua. No.
Quadrate code
Range Comp./ Village
Total Green weight of samples
Total Oven Dry (700
C) weight of samples
Shrubs Herbs Forest floor
Shrub Herbs Forest floor
Datasheet-3: Fuel wood consumption in Study Areas
HH
No.
Family
Members Species
FW Quantity
Frequency of
visits: man-
days
Season
Stock
D/
Kg*
Wk /
Quintal*
Yr/
Ton* W*
M
*
A
* S* M W**
M* F*
1
2
3
4
5
6
7
8
9
10
Total
Note: M*-Male, D/Kg*-Per day in Kilogram, W*-Winter, M*-Monsoon, S*-Summer
PUBLICATIONS
Publication-1: Carbon Storage: Eight heritage tree species of Gujarat, India. Presented at;
Shri Jagdish Prasad Jhabarmal Tibrewala University, Jhunjhunu, Rajasthan. International
Conference: Sustainable strategies for development in India, Year-2012. JJTU-CENTUM
(Accepted).
Publication-2: Quantitative Analysis on Carbon Storage of 25 Valuable Tree Species of
Gujarat, “Incredible India”. Year-2013. Indian Journal of Scientific Research.Vol. 4 (1), Pg.
No. 137-141. Impact Factor: 1.4053.
Carbon Storage: Eight Heritage Tree Species of Gujarat, India
Ishan Y. Pandya 1, Harshad Salvi 2, Omprakash Chahar 3
Department of Biotechnology, Shri Jagdishprasad Jhabarmal Tibrewala University,
Jhunjhunu, Rajasthan-333001
Email: genomes.world37@gmail.com 1
Email: harshadsalvi@gmail.com 2
Email: alliedscience@jjtu.ac.in 3
Abstract-In present research, we
estimated the carbon storage of eight
heritage tree species (Timber and wild
species) forests from the Dangs and
Valsad districts of the Gujarat state.
Species based enumeration on girth and
height is noticed by Gujarat Forest
Department. We applied the non-
destructive method to fulfill our
objective, and obtained the carbon
storage in Tectona grandis 9.71tC,
Mitragyna parviflora 9.10tC, Terminalia
crenulata 4.42tC, Terminalia bellerica
19.48tC, Albizia procera 2.65tC, Miliusa
tomentosa 2.58tC, Pterocarpus
marsupium 2.55tC, Adinsonia digitata
25.82tC, carbon estimated respectively.
Key words: Carbon, heritage species, non-destructive method, Weight, tC (tonne carbon)
I. INTRODUCTION
Photosynthesis transfer CO2 from the
atmosphere and this carbon is stored in
wood and other plant tissues (Chavan et
al., 2011). Carbon sequestration can be
defined as the removal of CO2 from
atmosphere (source) into green plants
(sinks) where it can be stored indefinitely
(Jina et al., 2008). The tropical forest both
moist and dry types, accounts for
approximate 60% of global forests
(Mohanraj. et al., 2011). There are four
major pools of carbon through which it
flows in ecosystem these are above ground
biomass, below ground biomass, forest
floor and soil organic carbon (Warran et
al., 2001). Gujarat state harbors nearly
4,320 plant species, which accounts for
almost 9.33% total floral wealth of India
(Kumar et al., 2007). Our main objective
of the present study is to evaluate the total
biomass in respect to girth and height ,
green weight , dry weight, and carbon
storage in eight heritage tree species viz.
Tectona grandis Mitragyna parviflora,
Terminalia crenulata,Terminalia bellerica,
Albizia procera, Miliusa tomentosa,
Pterocarpus marsupium and Adinsonia
digitata of the Dangs and Valsad districts
in Gujarat.
II. STUDY AREAS
Figure-1: Satelite view of the Dangs (Right) and Valsad (Left) districts in Gujarat State. (Source: www.googleearth.com)
A. The Dangs District: Dangs district is
located between parallels of latitude 200
33’ 53’’ and 210 04’ 52’’ and the
meridians of longitude 730 27’ 58” and
730 56’ 36”. The forest area is 1035.35s
q.km as per District inspector of land
record (DILR).
B. Valsad District: Valsad district is
situated between latitude 200 7’ 55” N
and 200 27’ 15” North and longitudes
720 43’ 55” E and 730 52.9’ 38” East.
The forest area of district as per record is
1186.10 sq.km. Heritage species of the
present study are located in distinct
location of these two districts.
Information about the species is
mentioned in Table-1
TABLE-1: Species with their location,
family, girth and height (Singh H.S., 2010).
Code District Location Species Family GBH
cm
Height
meter
S1
The Dangs
Purna wildlife sanctuary, comp-64 Tectona grandis Verbenaceae 421 41.5
S2 Purna wildlife sanctuary, comp-53 Mitragyna parviflora Rubiaceae 410 41
S3 Vaghai Botanical Garden Terminalia crenulata Combretaceae 305 36
S4 Comp-52,Mahal Terminalia bellerica Combretaceae 615 39
S5 Vaghai Botanical Garden Albizia procera Mimosaceae 230 38
S6 Preservation plot, Purna wildlife sanctuary Miliusa tomentosa Annonaceae 230 37
S7 Vaghai Botanical Garden Pterocarpus marsupium Fabaceae 265 27.5
S8 Valsad Village: Sanjan, Taluka: Umargaon Adinsonia digitata Bambacaceae 1082 16.7
III. METHODOLOGY
Tree based enumeration on Girth (cm) and
height is measured. Diameter of the trees is
calculated by dividing the GBH (Girth at
breast height) to 3.14. From non-
destructive method, we estimate the above
ground (green) weight and dry weight of
the tree species.
Bio-volume: Bio-volume is calculated from
following equation:
W (Bio-volume) = 0.15 (DBH) 2 x Height
Where; W= Bio-volume, DBH= Diameter of
trunk in inches, H= Height of the tree in feet.
The root systems weigh about 20% as much as
the above ground weight of the tree.
Therefore, to determine the total green weight
of the tree multiplies the above ground weight
of the tree by 120%.
Total green weight (TGW ) = W * 120%
The average tree is 72.5% dry matter and
27.5% is moisture. So dry weight of tree
should be determined in following way:
Total Dry weight = TGW * 72.5%
Therefore; to determine the weight of the
carbon in tree, multiply the dry weight (DW)
of the tree by 50%. As we all know that, 50 %
of dry biomass is considered as carbon. So,
Total Carbon weight (CW) =DW*50%
IV. RESULTS
Aforementioned practices on equations
we found the following (Table-2) green
weight (GW, pounds), dry weight (DW,
pounds), Carbon weight (CW, pounds)
for respective tree species. The limitation
of this equation is that, it is not
appropriate for the different tree species
incidentally if having the same girth and
same height. Under such critical
situations apply destructive method and
TABLE-2: Species with carbon storage in tonne in respect to diameter.
V. CONCLUSION
From present study we can conclude that
as diameter of tree species increases, its
carbon storage also increases. In heritage
species we found maximum carbon storage
Figure-2: Carbon storage (tC) in heritage species.
ACKNOWLEDGEMENT: Authors are
thankful to the Gujarat Forest
Department, for the record of strong
information about heritage species, as
S1
C tonne 9.71
0
5
10
15
20
25
30
tC
Species D inches Bio
volume
S1 52.2898 55827.39
S2 50.9236 52310.23
S3 37.8822 25417.76
S4 76.3854 111956.64
S5 28.5669 15257.18
S6 28.5669 14855.68
S7 32.914 14657.49
S8 134.389 148390.47
same height. Under such critical
tuations apply destructive method and
measure green weight for assessment of
carbon storage in trees.
Species with carbon storage in tonne in respect to diameter.
From present study we can conclude that
as diameter of tree species increases, its
carbon storage also increases. In heritage
species we found maximum carbon storage
in Adinsonia digitata (25.82tC), while
minimum carbon storage in
marsupium (2.55tC). Please See; Figure
Carbon storage (tC) in heritage species.
Authors are
thankful to the Gujarat Forest
Department, for the record of strong
eritage species, as
well as to protect and conserve it.
Authors also express their gratitude to
Dr. H.S. Singh for providing such
S2 S3 S4 S5 S6 S7 S8
9.1 4.42 19.48 2.65 2.58 2.55 25.82
C tonne
Bio-
volume
GW
(Pounds)
DW
(Pounds)
CW
( Pounds) tonne
55827.39 66992.87 48569.83 24284.91 9.71
52310.23 62772.27 45509.90 22754.95 9.10
25417.76 30501.31 22113.45 11056.72 4.42
111956.64 134347.97 97402.28 48701.14 19.48
15257.18 18308.62 13273.75 6636.874 2.65
14855.68 17826.81 12924.44 6462.219 2.58
14657.49 17588.98 12752.01 6376.006 2.55
148390.47 178068.57 129099.71 64549.85 25.82
measure green weight for assessment of
(25.82tC), while
minimum carbon storage in Pterocarpus
55tC). Please See; Figure-2.
well as to protect and conserve it.
Authors also express their gratitude to
Dr. H.S. Singh for providing such
C
tonne
9.71
9.10
4.42
19.48
2.65
2.58
2.55
25.82
inspiring information about heritage
trees of Gujarat.
REFERENCES
[1] Anonymous, How to calculate the amount of CO2
sequestered in a tree per year? [Online] http://www.broward.org
[2] A. Warran and A. Patwardhan. Carbon sequestration potential of trees in and around the Pune city. Master’s thesis, submitted to Pune university.pp.-3. (2001)
[3] A., Shukla IFS. Working plans for Dangs forests. Published by Gujarat Forest Department, Vol.1, Chapter-1, pp.1-7. (1991)
[4] B.L. Chavan, and G.B. Rasal. Sequestered carbon potential
and status Eucalyptus tree. International Journal of applied
engineering and technology. Vol.1 (1), pp.41-47 (2011).
[5] B.S. Jina, Pankaj Sah, M.D. Bhatt and Y.S. Rawat.
Estimating carbon sequestration rates and total carbon
stockpile in degraded and non-degraded sites of oak and pine
forest of Kumaun central Himalaya. Ecoprint Vol. 15:pp.75-81
(2008).
[6] G.L. Shah,. Flora of Gujarat State, 1st edition published by
K.A. Amin, Printed at University press, Vallabh Vidhyanagar
Vol.1-2 (1978).
[7] H.S. Singh,. (IFS, Additional Principal Chief Conservator of
Forests) Gujarat State. Heritage trees of Gujarat, Published by
Gujarat Forest Department, Gandhinagar. Species No.38, pp 50-
51 (2010).
[8] Mohanraj R., Saravanan J., Dhanakumar S.,.Carbon stock in
kolli forests, Eastern Ghats (India) with emphasis on above
ground biomass, litter, woody debris and soils. iForest-
Biogeosciences and Forestry. Vol.4, pp 61-65 (2011).
[9] Nirmal JI Kumar, Rita N Kumar, Narendra Patil and Hiren
Soni. Study on plant species used by tribal communities of
Saputara and Purna forests, Dangs district, Gujarat. Indian
Journal of Traditional Knowledge, Vol. 6 (2), pp.368-374
(2007).
[10] Pearson T., Walker S. and Brown S., Sourcebook for land
use, land use change and forestry projects. Published by
Winrock International, pp 8 (2005).
[11] U.D. Singh, IFS. Working plan for Valsad North and
South Forest divisions. Published by Gujarat Forest Department,
Vol.1,Chapter-1,pp.-2(2005).
QUANTITATIVE ANALYSIS ON CARBON STORAGE OF 25 VALUA BLE TREE
SPECIES OF GUJARAT, “INCREDIBLE INDIA”
ISHAN Y. PANDYA a,d, HARSHAD SALVI b,d,OMPRAKASH CHAHAR c, NILESH
VAGHELA d
aDepartment of Biotechnology, Shri Jagdishprasad Jhabarmal Tibrewala University,
Jhunjhunu, Rajasthan, India
Email: genomes.world37@gmail.coma bDepartment of Biotechnology, Shri Jagdishprasad Jhabarmal Tibrewala University,
Jhunjhunu, Rajasthan, India
Email: harshadsalvi@gmail.comb cDepartment of Biotechnology, Shri Jagdishprasad Jhabarmal Tibrewala University,
Jhunjhunu, Rajasthan, India
Email: alliedscience@jjtu.ac.inc dGujarat Ecological Education and Research Foundation, Gandhinagar, Gujarat, India
Email: vnileshkumar@gmail.comd ABSTRACT
Trees are carbon reservoir on earth. In nature, photosynthesis is the unique mechanism
through which carbon flows in ecosystems and utilize by plants in the form of CO2. Worldwide,
we are losing the number of trees every year; the reasons are known to everybody which leads to
the climate change globally. From the available data of tree's girth and height we estimated the
carbon storage by non-destructive or allometric method. We estimated the carbon storage in 25
species belongs to Gujarat, India. The maximum carbon storage in Tamarindus indica 55.95 tC
followed by 44.81 tC in Terminalia arjuna is concluded. The lowest carbon storage value
estimated in Emblica officinalis1.77tC.
KEYWORDS: Diameter,Species,Biomass,CarbonStorage.
Trees are carbon reservoir on
earth.In nature, forest ecosystem act as a
reservoir of carbon. They store huge
quantities of carbon and regulate the carbon
cycle by exchange of CO2 from the
atmosphere. Forest ecosystem is one of the
most important carbon sinks of the
terrestrial ecosystem. It uptakes the carbon
dioxide by the process of photosynthesis
and stores the carbon in the plant tissues,
forest litter and soils. Thus, forest
ecosystem plays important role in the
global carbon cycle by sequestering a
substantial amount of carbon dioxide from
the atmosphere (Vashum et al.,2012).
Carbon sequestration is a mechanism for
the removal of carbon from the atmosphere
by storing it in the biosphere (Chavan et
al., 2012).
Millions of plants, animals, and
microorganisms are present on earth in
various ecosystems we called it biodiversity.
Present definition considers genetic
variation, species and ecosystem varieties as
biodiversity. India has covered 1, 26,188
species of plants and animals. India with a
total area of about 3029 million ha is
considered to be one of the 12 mega
biodiversity hotspots of the origins and
diversity of several plant species. Gujarat
state harbors 2,198 species of higher plants
including 27 species of mangroves and its
associates, which accounts for the almost
9.33% of the total floral wealth of India
(Kumar JI et al., 2007; 2005). In Gujarat,
about 419 million trees have been estimated;
150 million in forest and 269 million trees
outside of the forest and total carbon store
177 million tonnes (Singh H.S., 2011)a.
Gandhinagar 8,66,670 trees, Surat 333,970
trees, Vadodara 747,200 trees, Rajkot
137,500 trees, Bhavnagar 4,76,000 trees,
Jamnagar 45,900 trees, Junagadh 76,700
trees, and Valsad 67,252 trees are estimated
respectively by tree counting in aforesaid
districts of the Gujarat State. There are
618,050 urban trees in Ahmedabad district,
which store 1.27 million tonnes carbon and
annual sequestration rate may be over 4,640
Carbon tonnes(Singh H.S., 2011)b. 73.59
tonnes of carbon dioxide are removed from
urban trees by the Vadodara city (Kiran G.S.
et al., 2011). The figure-1 (FSI, 2009)
represents the district wise forest density
class (very dense, moderate dense, open or
sparse forest, Scrubland) of Gujarat State.
Worldwide, the forests and species
biodiversity and number of trees are being
degraded, and every day cause of increasing
demands of fuel-wood and timbers, and
other agro-forestry practices including
anthropogenic pressure on the ecosystem. In
such critical situations, Ministry of
Environment and Forests, Gujarat State, has
put an outstanding and inspiring example of
species conservation, protection and
developed the data of ‘Heritage trees of
Gujarat’. In present investigation our main
objective is to quantify the carbon storage in
few selective (Table-1) species or heritage
tree species of Gujarat.
Figure-1: Forest Density Map: India, Gujarat; Source: Forest Survey of India (FSI, 2009)
Table-1: Selected Tree Species and districtwise their physiological details: (Singh H.S., 2010)
Species code
Vulnerable Name Scientific Name GBH (meter)
Height (meter) Location
S1 Largest Rukhado Tree Adinsonia digitata 11.3 20 Junagadh S2 Largest Kadaya Tree Sterculia urens 3.86 25 Junagadh S3 Largest Mango Tree Mangifera indica 7.4 16 Narmada S4 Largest Semal Tree Bombex ceiba 13.5 35 Dahod S5 Largest Amla Tree- Mahavriksh Emblica officinalis 3.4 10 Nadiad S6 Largest Neem Tree Azardirachta indica 6.9 24 Surendranagar S7 Largest Baheda Tree Terminalia bellirica 6.15 39 Dangs S8 Tallest Sadad Tree Terminalia tomentosa 3.05 36 Dangs S9 Largest ArjunSadad Tree Terminalia arjuna 7.3 35 Panchamahals
S10 Large Haldu Trees Adina cordifolia 4.2 35 Panchamahals S11 Old and Largest Bordi Tree Ziziphus mauritiana 4.68 15 Junagadh S12 Old Amli Tree Tamarindus indica 7.55 30 Kheda S13 Large and Old Rayan Tree Manilkara hexandra 6.5 30 Mahesana S14 Tallest Teak Tree Tectona grandis 4.21 41.5 Dangs S15 Largest Rain Tree Samanea saman 5.56 41 Navasari S16 Largest Kalam Tree Mitragyna parviflora 4.1 41.5 Dangs S17 Tallest Kilai Tree Albizia procera 2.3 38 Dangs S18 Largest Mahuda Madhuca indica 6.05 32 Vadodara S19 Tallest Umbh Tree Miliusa tomentosa 2.3 37 Dangs S20 Oldest Piloo Tree Salvadora oleoides 6.45 12 Gandhinagar S21 Largest Mahogany Tree Swietenia mahogani 6.8 30 Junagadh S22 Oldest Pipal or Pipado Tree Ficus religiosa 9.4 16 Valsad S23 Large Pipada Tree Ficus tsila 6.4 24.7 Sabarkantha S24 Oldest and Largest Borsalli Tree Manilkara elengi 4.1 18 Junagadh S25 Largest Shivlingi Tree Couroupita guianensis 3.55 23 Navasari
METHODOLOGY: There are two
methods of carbon estimation in tree
species, destructive method and non-
destructive method approved by many
researches. I employed the non-destructive
method for carbon estimation, in this
method we need not to harvest the entire
bio-volume and sacrifice the tree. For
quantitative data analysis of carbon storage,
many programming based bio-statistical
tools are used like SPSS Software, ANOVA,
and Regression equations. In the present
study, the data’s of species complied,
tabulated and above equations were inserted
in MS-Excel-2007 and the following results
were obtained.The girth of the tree is
measured at the girth at breast height (GBH)
1.32m above ground surface. Data of the
girth and height is procured from the
Publication of Gujarat Forest Department
“Heritage trees of Gujarat” (Singh, 2010).
Tree diameter (D) was measured by dividing
π (3.14) to the actual marked girth of species
(Bohre et al., 2012) i.e. GBH/3.14.Biomass
is evaluated in above listed tree species is
calculated by simply applying of bio-
statistics based allometric equations. Above
ground Biomass (AGB) are estimated by
multiplying the bio-volume to the green
wood density of tree species. Tree bio-
volume (TBV) value established by
multiplying of diameter and height of tree
species to factor 0.4.
Bio-volume(TBV)=0.4 X (D) 2x H……Eq.-1
AGB =Wood density x TBV …Eq. -2
Where; D = (GBH/π), diameter (meter)
calculated from GBH, assuming the trunk to
be cylindrical, H = Height (meter). Wood
density is used from Global wood density
database, Zanne et al., (2009). The standard
average density of 0.6 gm/ cm3 is applied
wherever the density value is not available
for tree species.
Below Ground Biomass (BGB): The
belowground biomass has been calculated
by multiplying the above ground biomass
(AGB) by 0.26 factors as the root: shoot
ratio (Hangarge et al., 2012).
BGB = AGB x 0.26 ……..Eq.-3
Total Biomass: Total biomass is the
sum of the above and below ground
biomass. (Sheikh Mehraj A. et al., 2011)
Total Biomass (TB) = Above Ground
Biomass + Below Ground
Biomass……..Eq.-4
Carbon Estimation: Generally, for any
plant species 50% of its biomass is
considered as carbon (Pearson T.R.H. et
al., 2005) i.e.
Carbon Storage = Biomass x 50% or
Biomass/2 …….Eq.-5
RESULTS & DISCUSSION: Gujarat trees
store 177.5 million tonnes of carbon out of
which the selected 25 tree species
contributed (the sum of all species carbon)
421.47x10-6 million tonnes carbon.The
lowest carbon storage value estimated in
Emblica officinalis 1.77tC and maximum
carbon storage found in Tamarindus indica
55.95 tC. From above equations we can
conclude the ecological significance of these
plant species. As the diameter of species
increases its biomass and carbon storage
capacity increases also sequester more
carbon, removes more carbon dioxide from
atmosphere.. List of species and their above
ground, below ground, and total biomass
with carbon is given in table-2. Species
should be planted according to keeping all
environmental parameters (Location/Bio-
geographic Zone, Climate, Soil type, annual
temperature, Ground water availability,
annual rainfall, etc.) in mind. Also the
species which harvest more CO2 from
atmosphere, should planted more. Please see
Figure-2.
Species AGB (Kg)
BGB (Kg) TB (Kg) C (Kg) tC/Species
Tamarindus indica 88802.63 23088.68 111891.31 55945.66 55.95 Terminalia arjuna 71128.28 18493.35 89621.63 44810.82 44.81 Bombex ceiba 64695.83 16820.92 81516.75 40758.37 40.76 Manilkara hexandra 54507.28 14171.89 68679.18 34339.59 34.34 Terminalia bellirica 45480.91 11825.04 57305.94 28652.97 28.65 Madhuca indica 35163.58 9142.53 44306.12 22153.06 22.15 Samanea saman 30852.15 8021.56 38873.70 19436.85 19.44 Azardirachta indica 30595.25 7954.77 38550.02 19275.01 19.28 Swietenia mahogani 28701.85 7462.48 36164.34 18082.17 18.08 Adinsonia digitata 28595.43 7434.81 36030.24 18015.12 18.02 Ficus religiosa 25408.56 6606.23 32014.79 16007.39 16.01 Ficus tsila 24626.85 6402.98 31029.83 15514.91 15.51 Mangifera indica 24170.91 6284.44 30455.35 15227.67 15.23 Tectona grandis 21485.50 5586.23 27071.73 13535.87 13.54 Mitragyna parviflora 18113.25 4709.45 22822.70 11411.35 11.41 Adina cordifolia 14778.12 3842.31 18620.44 9310.22 9.31 Salvadora oleoides 12152.14 3159.56 15311.69 7655.85 7.66 Sterculia urens 8205.69 2133.48 10339.17 5169.59 5.17 Terminalia tomentosa 8151.81 2119.47 10271.28 5135.64 5.14 Ziziphus mauritiana 7997.14 2079.26 10076.40 5038.20 5.04 Manilkara elengi 7365.33 1914.99 9280.31 4640.16 4.64 Couroupita guianensis 5526.92 1437.00 6963.92 3481.96 3.48 Albizia procera 4893.18 1272.23 6165.41 3082.70 3.08 Miliusa tomentosa 4764.41 1238.75 6003.16 3001.58 3.00 Emblica officinalis 2813.91 731.62 3545.52 1772.76 1.77
Table-2: List of species and their above ground, below ground, and total biomass with carbon.
ACKNOWLEDGEMENT: The authors
are especially thankful to Ministry of
environment and Forests, Government of
Gujarat, Gujarat State, India for to provide
the valuable information of Heritage trees of
Gujarat. The authors express their gratitude
to Dr. H. S. Singh (IFS, Additional Principal
Chief Conservator of Forests, Social Forest
Department, Gujarat) for collecting data of
trees throughout the Gujarat State.
0.00
10.00
20.00
30.00
40.00
50.00
60.00
tC
Figure-2Carbon Storage Potential of Species tC
REFERENCES:
1. Bohre,P., Chaubey,O.P., Singhal P.K.
(2012) Biomass Accumulation and
Carbon Sequestration in Dalbergia
sissoo Roxb. International Journal of
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Carbon Sequestration Potential of
young Annona Reticulate and Annona
squamosa from University Campus of
Aurangabad. International Journal of
Physical and Social Sciences. Vol.2 (3).
pp 193-198.
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density cover map, Gujarat State
(Available online, FSI-2009).
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Gaikwad, D. M. Mahajan and Nisha
Chaudhari (2012) Carbon Sequestration
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traditional knowledge, Vol. 6 (2), pp
368-374.
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