ISSN: 2224-0616
Int. J. Agril. Res. Innov. Tech. 13(2): 6-13, Dec 2023
DOI: https://doi.org/10.3329/ijarit.v13i2.70848
Available online at https://ijarit.online
https://www.banglajol.info/index.php/IJARIT
Gum and resin bearing dryland forests of the Somali region,
Southeastern Ethiopia: Diversity, structure and spatial distribution
Nesibu Yahya1, Abdu Abdelkadir3*
, Busha Teshome2, Mister Abebe2 and Habtemariam Kassa3
Received 15 July 2023, Revised 15 November 2023, Accepted 25 December 2023, Published online 31 December 2023
ABSTRACT
Despite their ecological and socio-economic contributions, the lowland dry forests of
Ethiopia have largely been neglected and hence experience severe deforestation and
degradation challenges. It is, therefore, crucial to assess the status of the dry forest resources
to formulate appropriate management strategies that facilitate their sustainable utilization.
This study was undertaken to determine spatial distribution, species composition, structure,
and regeneration of gum and resin-producing species in the dry forests of the Somali
Regional State of Ethiopia. The recent Sentinel-2A image was procured and used to classify
the area, using a supervised Random Forest Algorithm, into different land covers and
vegetation types. Inside the two key vegetation types (Acacia dominated woodland and
Mixed woodland), forest inventory was conducted by establishing 30 m x 30 m size
quadratic sample plots. The results revealed that the study area was divided into settlement
(0.2%), bare land (6.0%), undifferentiated forest (0.5%), acacia woodland (36.3%), mixed
woodland (54.1%) and scrubland (2.9%). Thirty-four woody species were identified and
recorded with a Shannon diversity of 3.03. The population structure showed a lack of
sufficient natural regeneration. This shows that the forest containing the gum and resinbearing species is not replacing itself as well as it should. On the other hand, if managed
properly, the forest has the potential to produce various types of oleo-gum resins. Thus,
implementing appropriate restoration measures is urgent to enhance natural regeneration.
Moreover, formulating sustainable utilization while creating a product market of gum and
resins are important consideration to ensure the conservation and sustainable use of dry
forests in the region.
Keywords: Somali, Horn of Africa, Gum and Resin
1
WeForest Ethiopia, Addis Ababa, Ethiopia
2
Ethiopian Forestry Development, Addis Ababa, Ethiopia
Center for International Forestry Research (CIFOR), Addis Ababa, Ethiopia
*Corresponding author’s email: aabdelkadir@yahoo.com (Abdu Abdelkadir)
3
Cite this article as: Yahya, N., Abdelkadir, A., Teshome, B., Abebe, M. and Kassa, H. 2023. Gum and resin
bearing dryland forests of the Somali region, Southeastern Ethiopia: Diversity, structure and spatial distribution.
Int. J. Agril. Res. Innov. Tech. 13(2): 6-13. https://doi.org/10.3329/ijarit.v13i2.70848
Introduction
Dry forests in the tropics are important forest
biomes that support the livelihood of millions of
people around the globe (Djoudi et al., 2015). In
addition, it provides multiple ecosystem services
(Cortés-Calderón et al., 2021). The dry forest
covers about 42% of tropical and subtropical
forests (Hasnat and Hossain, 2019). Compared
with other biomes, it is much more prone to loss
of biodiversity and habitat fragmentation due to
the high rate of deforestation and forest
degradation (Maass, 2010; Rivas et al., 2020).
While it comprises extensive distribution, it
receives less research attention as compared to
the moist tropical forests (Sunderland et al.,
2015).
The Combreterm – Terminalia and the Acacia Commiphora are the two widely distributed
forest ecosystems in the dry lowlands of Ethiopia.
The resources are significant in biodiversity as
they are endowed with numerous endemic plants
and animals (Bareke, 2018). The woodland is also
a source of various gum and resin products such
as frankincense, myrrh, opopanax, and gum. It
plays an important role economically, from
enhancing household income (Berhanu et al.,
2021; Walle and Nayak, 2021; Worku et al., 2014)
to improving the GDP of the country (Mekonnen
et al., 2013).
Somali Regional State of Ethiopia is one of the
regional states in Ethiopia where dry forests are
the dominant vegetation types. El – Weyni
district of Somali, region is known to have much
of its areas covered with dry forests comprising
large number of gum and resin-bearing species.
However, this economically important resource
has not properly managed and effectively utilized
due to lack of adequate information on
biodiversity aspects as well as on the distribution
International Journal of Agricultural Research Innovation & Technology An open access article under
Yahya et al. (2023)
Gum and resin bearing dryland forests of the Somali region, Southeastern Ethiopia
and production potential of gums and resin
producing species and under development of
markets. Hence, evidence-based planning and
implementation of sustainable utilization is
constrained by lack of adequate information.
Forest inventory, which can reveal the existing
diversity and structure of the forest, is an
important phase in forest management.
Understanding the regeneration status of woody
species in general, and gum and resin-bearing
species in particular, is fundamental in
formulating appropriate policy and strategy both
at a national and regional level. In addition,
knowledge and information in these areas are
crucial for the sustainable utilization of the
resources.
Previous studies on gum and resin-bearing dry
forests in Ethiopia have emphasized on the
western and northwestern dry lowlands,
providing critical information on their proper
utilization
and
ecological
sustainability
(Addisalem et al., 2016; Bekele, 2016; Mokria et
al., 2017; Yilma et al., 2016), and socio-economic
aspects (Eshete et al., 2005; Tilahun et al., 2015).
On the other hand, there is scarce information on
the forest resources of the Somali region of the
southeastern lowlands. Limited work has been
conducted in Somali Region on the current forest
composition
structure
and
the
spatial
distribution of the dry woodlands in general and
gum and resin-bearing species in particular. The
objective of this study was, therefore, to fill in the
gap of information and determine the species
composition, structure, and regeneration of gum
and resin species. At the same time, it quantifies
the spatial distribution of gum and resin-bearing
species in the El-Weyni district of the Somali
Regional State of Ethiopia.
Materials and Methods
The study area
The study was conducted in the El-Weyni district
in the Somali Regional State of Ethiopia. It is
located between 42° 45' to 43° 25' East and 6° 20'
to 6° 45' north. El–Weyni was selected for the
study because its resource endowment in terms
of gum and resin bearing species in the region.
The total area of the district is estimated at
242,030 hectares. The altitude ranges from 331
to 1035 m.a.s.l through an average value of 482
m.a.sl. The landform of the study area is mainly
characterized by a smooth plain with some
rugged topography in the northeastern section of
the district. The climatic condition of the district
is described as dryland affected by recurrent
drought. The site has an annual average
precipitation of 200 mm, and the mean
maximum and minimum temperature is 28°C
and 40°C, respectively (Hussein et al., 2021).
The vegetation types of the study area are the dry
woodland
ecosystem
types
of
AcaciaCommiphora woodland and scrubland (Friis et
al., 2010). In this ecosystem, gum and resinbearing tree species are widely distributed. The
woodland usually coexists with grasslands and
pastureland. The pastoral system is the common
livelihood means of the community in the area.
Figure 1. Location map of the study area and forest inventory plots.
Vegetation data collection and analysis
A reconnaissance survey was conducted before
undertaking the forest inventory. A systematic
random sampling technique was employed to lay
sampling plots. Thirty quadratic plots of 30 x 30
meters were established to record the seedlings,
saplings, and adults of all woody species. For the
adult, the diameter at breast height (DBH) and
height were measured using standard diameter
tape and a True-pulse height meter, respectively.
The total number of seedlings and saplings was
counted and recorded within each plot.
Environmental data such as location (latitude
and longitude), altitude, slope and aspect were
recorded from the center of each sample plot. For
the present study, different growth stages were
Int. J. Agril. Res. Innov. Tech. 13(2): 6-13, December 2023
7
Yahya et al. (2023)
Gum and resin bearing dryland forests of the Somali region, Southeastern Ethiopia
pre-defined as an adult (height greater than 1.5
meters), sapling (height between 0.5 and 1.5
meters), and seedling (height less than 0.5
meters).
In order to describe the woody species diversity,
the Shannon-Wiener Diversity Index (H) and
Evenness (E) were employed using the following
equations:
𝑠
𝐻 = − ∑ 𝑝𝑖 ln 𝑝𝑖
𝑖=1
Where: H = Shannon–Wiener diversity index and
Pi = the proportion of individuals found in the i th
species.
𝐻
𝐻
=
𝐸=
ln 𝑆 ′
𝐻𝑚𝑎𝑥
Where: E = Evenness, Hmax= the maximum level
of diversity possible within a given population,
which equals ln (number of species).
The absolute density (number of stems per
hectare), frequency (number of plots with a
species presence) and dominance (basal area of a
species in m2 per hectare) were calculated for all
woody species in the study area using the
standard methods. Then, relative density, relative
frequency, and relative dominance were
calculated using the following equations:
𝑅𝑒𝑙𝑎𝑡𝑖𝑣𝑒 𝑑𝑒𝑛𝑠𝑖𝑡𝑦 (𝑅𝐷)
𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑖𝑛𝑑𝑖𝑣𝑖𝑑𝑢𝑎𝑙𝑠 𝑜𝑓 𝑠𝑝𝑒𝑐𝑖𝑒𝑠
=
𝑥 100
𝑇𝑜𝑡𝑎𝑙 𝑛𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑖𝑛𝑑𝑖𝑣𝑖𝑑𝑢𝑎𝑙𝑠
𝑅𝑒𝑙𝑎𝑡𝑖𝑣𝑒 𝑓𝑟𝑒𝑞𝑢𝑎𝑛𝑐𝑦 (𝑅𝐹)
𝐹𝑟𝑒𝑞𝑢𝑎𝑛𝑐𝑦 𝑜𝑓 𝑎 𝑠𝑝𝑒𝑐𝑖𝑒𝑠
𝑥 100
=
𝐹𝑟𝑒𝑞𝑢𝑎𝑛𝑐𝑦 𝑜𝑓 𝑎𝑙𝑙 𝑠𝑝𝑒𝑐𝑖𝑒𝑠
𝑅𝑒𝑙𝑎𝑡𝑖𝑣𝑒 𝑑𝑜𝑚𝑖𝑛𝑎𝑛𝑐𝑒 (𝑅𝐷𝑂)
𝐷𝑜𝑚𝑖𝑛𝑎𝑛𝑐𝑒 𝑜𝑓 𝑎 𝑠𝑝𝑒𝑐𝑖𝑒𝑠
𝑥 100
=
𝐷𝑜𝑚𝑖𝑛𝑎𝑛𝑐𝑒 𝑜𝑓 𝑎𝑙𝑙 𝑠𝑝𝑒𝑐𝑖𝑒𝑠
𝑰𝒎𝒑𝒐𝒓𝒕𝒂𝒏𝒕 𝒗𝒂𝒍𝒖𝒆 𝒊𝒏𝒅𝒆𝒙 = 𝑹𝑫 + 𝑹𝑭 + 𝑹𝑫𝑶
With the purpose of understanding the
community and population structure, a
population frequency diagram was generated
based on different diameter sizes. The vegetation
analysis was conducted on the R software
program
using
the
“vegan”
and
the
“BiodiversityR” packages (Dixon, 2003; Kindt,
2018; Team, 2021).
Spatial data collection and analysis
Several spatial databases were collected to
quantify the current distribution of different
forest communities in the study area. The freely
available Sentinel 2A satellite images with 10 meter spatial resolution was downloaded. A
better cloud-free image was selected from the
available list of images. Two tiles (T38 NKN and
T38 NLN) encompassed the entire study area.
The selected satellite image was acquired in the
late dry season (January – February 2022) to
allow for clear separation of the different
vegetation types. Only the spectral bands of the
satellite images (Sentinel L2A) covering the Blue
(Band - 2), Green (Band - 3), Red (Band - 4) and
Near Infrared (Band - 8) were selected for the
study.
Table 1. Description of different types of land cover classes.
No.
1
land cover classes
Bare land
2
Settlement
3
Acacia
dominated
woodland
Commiphora
dominated woodland
Scrubland
4
5
6
Undifferentiated
forest
Description
Areas with no vegetation cover consisting of exposed soil and/or
bedrock
Land covered by residences, road networks, buildings and small
industrial areas in both rural and urban areas.
Land covered by Acacia-Commiphora woodland but Acacia is a
dominant species than Boswellia and Commiphora
Land covered by Acacia-Commiphora woodland but Boswellia and
Commiphora species are dominant than Acacia species
Land covered by small trees, shrubs and herbs, which may be
succulent, geophytic or annual.
Areas that were inaccessible for the team to differentiate physically
and hence categorized as undifferentiated forest
The images were geometrically and radiometrically (i.e., top of the atmosphere) corrected.
Image pre-processing techniques such as subsetting, layer stacking and image enhancement
were conducted for the downloaded images. The
Random Forest algorithm of the supervised
classification technique was implemented to
classify the image into the aforementioned
classes (Table 1). The spatial analysis was
conducted on R software and ArcGIS software
programs.
Results and Discussion
Woody species distribution, diversity and composition
The vegetation distribution map of the study area
(Figure 2) shows that the Acacia woodland
(36.3%) and mixed woodland (54.1%) are the two
dominant vegetation types. The proportion of the
other land cover categories was bare land (5.9%),
(14416.9 ha), scrubland (2.9%) (7193.7 ha),
(2.9%), undifferentiated forest (0.5%) (1165.1 ha)
and settlement (0.2%) (510.2 ha). The
undifferentiated forest was found in remote and
inaccessible areas where the altitude is relatively
higher. This result gives clues to the need to
reassess of the previously reported national
spatial coverage of Gum arabic (399,700 ha) and
Gum Commiphora (171,300 ha) (Fitwi, 2000).
Int. J. Agril. Res. Innov. Tech. 13(2): 6-13, December 2023
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Yahya et al. (2023)
Gum and resin bearing dryland forests of the Somali region, Southeastern Ethiopia
Figure 2. Spatial distribution map of vegetation types of the study area.
Table 2. The area coverage and density of predominant woody species in the study area.
No. Land cover types
Area (ha)
1
2
3
4
5
Settlement
Undifferentiated forest
Scrubland
Bare land
Acacia dominated
woodland
(n = 15)
510.24
1165.11
7193.71
14416.89
87864.94
Proportion
(%)
0.21
0.48
2.97
5.96
36.30
6
Mixed woodland
(n = 15)
130879.46
54.08
Total
242,030.35
100.00
A total of 34 woody species were recorded from
the study area of which Acacia, Boswellia, and
Commiphora are the three genera producing
gums and resins. The mean pooled diversity of
the study area is 3.03 and 0.93 for the Shannon
and Simpson diversity indices, respectively
(Table 3). Acacia senegal, Commiphora
Botanical name
Acacia senegal
Commlphora gowlello
Commiphora myrrha
Commiphora truncata
Commiphora erythraea
Boswellia neglecta
Boswellia rivae
Boswellia neglecta
Commlphora gowlello
Acacia senegal
Commiphora truncata
Commipbora hodai
Commiphora erythraea
Commipbora samharensis
Density of dominant
tree species (stem/ha)
49.6
13.3
12.6
6.7
5.9
5.2
5.2
18.5
14.8
13.3
13.3
11.9
11.1
10.4
erythraea, Commlphora gowlello, Acacia asak
and Commiphora myrrha, are the five most
frequently found species in the study area. The
most dominant gum and resin bearing species in
the study area include Commiphora guidotii,
Commiphora erythraea, Commiphora myrrha,
Boswellia rivae and Acacia senegal.
Table 3. Woody species diversity of the study.
Diversity indices
Richness
Shannon diversity
Simpson diversity
Evenness
The
spatial
distribution,
together
with
composition and density of the gum and resin
species (Table 3) indicate that there is a huge
potential in the study area to produce several
types of oleo-gum resins such as gum arabic from
Pooled values
34.00
3.03
0.93
0.61
A. senegal, frankincense from B. neglecta and B.
rivae, myrrh from C. myrrha and C. truncate,
opopanax from C. guidotii, Hager from C.
africana.
Int. J. Agril. Res. Innov. Tech. 13(2): 6-13, December 2023
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Yahya et al. (2023)
Gum and resin bearing dryland forests of the Somali region, Southeastern Ethiopia
Table 4. Estimated gum and resin production potential of the study area.
Product name
Gum arabic
Myrrh
Frankincense
Density (stems/ha)
Acacia
woodland
49.6
34.1
10.4
Mean
production
kg/tree/yr*
Mixed
woodland
13.3
48.9
24.4
2.0630a
0.5000b
0.2610c
Estimated production
gum/resins in kg/ha/yr
Acacia
Mixed
woodland
woodland
102.32
27.44
17.05
24.45
2.71
6.37
a: (Zeleke et al., 2021); b: (Lemeneh and Kassa., 2011); c: (Eshete et al., 2012)
The estimated production (Table 4) shows
variation between the two types of vegetation. In
the Acacia woodland, higher production potential
of gum Arabic is expected as compared to the
mixed woodland. Myrrh and frankincense are
expected to be produced more from the mixed
woodland vegetation type. Thus, the resource
potential of the study area is huge and is an
indication of the need for a better utilization of
the resource. With this estimation, the study area
has an area-wise extrapolated total production
potential of 18351.5 tons (58.5% from Acacia
woodland and 41.5% from mixed woodland).
Indeed, actual production may vary from the
potential by several factors such as species,
growth stage, weather conditions, implemented
harvesting techniques and tools and many other
related factors.
The results are also consistent with a study that
claims the underutilization of gum and resin
resources in Ethiopia (Tadesse et al., 2007). It
should be noted that these products are
internationally demanded commodities for
various applications such as food, beverages,
pharmacology,
adhesives
and
cosmetics
industries and can be sources of much needed
hard currencies (Başer et al., 2003; Lemenih and
Teketay, 2005; Sambawa et al., 2016; Hamad et
al., 2017; Efferth and Oesch, 2022).
Structure and regeneration status
The diameter class distribution of the entire
community showed “reverse J-shaped” which is
regarded as a higher density of individuals found
at the lower diameter classes and gradually
decreasing their density with increasing diameter
class (Figure 3). The first diameter class (< 5 cm
DBH) shows a slight decrease that indicates
insufficient regeneration of woody species at the
community level. The regeneration status also
indicates a “J-shape” which shows the unhealthy
status of the regeneration of woody species
(Figure 3).
Figure 3. Diameter class distribution (diameter class in cm: class 1.5 ≤ 5 cm, 2 =5 – 10 cm, 3 = 10 – 15
cm, 4 = 15 – 20 cm, 5 = 20 – 25 cm, 6 ≥ 25 cm) of adults (A) and density of regenerates and adults of
woody species (B) in the entire community.
The population structure of some of the species
(most of them are gum and resin-bearing species)
shows an irregular pattern and is bell-shaped
(Figure 4). The bell-shaped pattern is described
by the larger density of individuals in the middle
diameter class (DBH = 5-20 cm). Except for
Acacia asak, the population structure of the
dominant and/or abundant woody species lacks
the density of individuals at the lower diameter
class (particularly in the first and second classes),
which strongly suggests the problem of
regeneration and recruitment. This pattern is
consistent with previous studies in the lowland
dry forest of Ethiopia (Adem et al., 2014; Hido et
al., 2020).
Int. J. Agril. Res. Innov. Tech. 13(2): 6-13, December 2023
10
Yahya et al. (2023)
Gum and resin bearing dryland forests of the Somali region, Southeastern Ethiopia
Figure 4. Diameter class distribution (diameter class in cm: class 1.5 < 5 cm, 2 =5 – 10 cm, 3 = 10 – 15
cm, 4 = 15 – 20 cm, 5 = 20 – 25 cm, 6 ≥ 25 cm) of dominant and/or abundant species.
The results also showed that the vegetation
resources of the study area are relatively less
affected by urbanization and agricultural
expansion, unlike the western and Northwestern
lowland forests of Ethiopia. Moreover, it was
observed that there was relatively less charcoal
production and marketing in the study area.
However, the vegetation might be affected by
over-grazing activities since the livelihood of the
community depends primarily on livestock
production. The free grazing practice in the dry
forests of Ethiopia’s lowlands has been reported
as a major factor that hampers the natural
regeneration of gum and resin species (Lemeneh
and Kassa, 2011). Climate variability and
frequent drought could also be another factor for
the loss of regeneration of the woody plants in
general and gum and resin-bearing species in
particular.
The findings of the study highlight the potential
contribution of dry forests to support livelihoods
of local communities and to halt the decline of
biodiversity, which are the two most challenging
global sustainability issues (Wei et al., 2018).
However, little attention is given to research and
development of dry forests in the lowlands of
Ethiopia as compared to the montane forest. For
Int. J. Agril. Res. Innov. Tech. 13(2): 6-13, December 2023
11
Yahya et al. (2023)
Gum and resin bearing dryland forests of the Somali region, Southeastern Ethiopia
instance, the quasi absence of nurseries that
propagate and raise lowland tree species is one of
the justifications to substantiate the low level of
attention being paid to the lowland dry forests.
Moreover, the soil is highly susceptible to erosion
and degradation and hence forest restoration is
crucial and cost-effective (Crouzeilles et al.,
2020). With a slight reduction in human
pressures, the restoration of such areas may
require little effort to achieve results that are
more significant before the degradation reaches
the stage of no return.
Finally, it is suggested that research and
development
in
these
ecologically
and
economically useful lowland dry forests would be
very helpful to effectively restore the landscapes
by selecting appropriate restoration techniques
and
available
propagation
mechanisms.
Implementing appropriate restoration is urgent
to enhance and aid natural regeneration while
formulating sustainable utilization and marketing
of gum and resin species, which would be crucial
to the well-being of the surrounding community
and the country at large.
Acknowledgements
The authors sincerely thank the Ethiopian
Forestry Development, SIDA and UNDP as the
costs of the study were covered by a Catalyzing
Forest Sector Development Project of Ethiopian
Forestry Development, funded by the Swedish
International Development Agency (SIDA) and
UNDP. The authors are also grateful to experts at
Regional and district levels, as well as to
community members who were involved in the
data collection process. The Kebele, district,
zonal, and regional administrative bodies were
highly acknowledged for their permission and
support of the research. Our thanks also go to
community members who shared their time and
kindly agreed to respond to the questions of the
research team. The authors also thank field
assistants and drivers for their support.
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