Woody Species Diversity and Structure of Protected Woodlands Adjacent to Free Grazing Land Woodland at Dugda Woreda, Oromia, Ethiopia

,e study was conducted in protected woodland and free graze woodland located in Dugda Woreda, Oromia state, Ethiopia. ,e objective of the study was to explore the floristic composition, structure, and regeneration of woody species. In the park, the vegetation ecology has not been studied up to date, which is necessary for conservation. ,e systematic sampling technique was used to collect vegetation and human disturbance (presence and absence) data from August to December 2017. ,e vegetation data were collected from 30 plots from each woodland with a size of 900m (30m× 300m) for tree/shrub, while subplots of size 400m (20m× 20m) for sapling, respectively, were established in the main plots. Individual tree and shrub diameters at breast height (DBH) ≥2.5 cm and height≥ 2m were measured using a tape meter and clinometer, respectively. Diameter at breast height (DBH), frequency, density, basal area, and importance value index (IVI) were used for vegetation structure description, while the densities of mature trees, sapling, and seedling were used for regeneration. A total of 446 individual stems from free grazed woodland and 641 individual stems from protected woodland with a DBH of ≥2.5 cm were encountered from 30 studied sample plots that are protected and free grazed woodlands. Of these, from the total woody species, 68.42% were trees and 31.57% shrubs found in protected woodland; 76.92% were trees and 23.07% shrubs found in free grazed woodland. ,e total basal area of the woody plant was 3.1± 1m/ha in free grazed woodland and 4.2± 2m/ha in protected woodland, calculated for 19 woody species. Fabaceae, Balanitaceae, Capparidaceae, Verbenaceae, and Boraginaceae families were the most abundant families in both woodlands. However, there is a good initiation for the conservation of the park; still, the vegetation of the park was threatened by human-induced fire following intensive farming, gold mining, and overgrazing.


Introduction
Globally, 40% of tropical forest areas and 14% of total African surface area have been covered by woodland [1]. Woodland is defined as frost-free regions with 500-2000 mm annual precipitation and a dry season of four to seven months [2]; its diverse species composition, leafing phenology, and other functional aspects were studied. Next to forest resources, protected woodland has a huge wealth of biological resources [3]; thus, the woody diversity and vegetation structures are crucial elements to clearly visualize the human activities and environmental factors affecting the vegetation of a given area [4]. However, about 97% of the remaining woodland area is at the risk of being further fragmented and degraded by fire, fuelwood collection [5], and grazing damage [6]. Above half of Ethiopia's land surface is located in dry areas and associated with woodland [7]. ese woodlands are a highly fragile ecosystem adapted to semiarid conditions with erratic rainfall, growing on a complex and vulnerable hydrological system [8]. Most woodlands of the world are concentrated in protected areas [9]. Recently, the depletion of vegetation resources in woodland and environmental degradation has become an issue of national and global concern [10]. Dugda Woreda woodland is found in Girba Korke Adi kebele, East Shewa zone, Ethiopia. e woodland benefited the local community by providing pasture, fuelwood, medicine, and honey and served as a habitat for different biodiversity. However, due to habitat degradation, livestock encroachment, illegal logging, and agricultural expansion, and lacking of scientific and essential baseline investigation on woody species diversity, these woodland areas are being imposed to being destroyed at the highest rate. erefore, the main objective of this study was to complete the current information gap in woody species diversity and structure of the woodland.

Description of the Study Area.
e study area, protected woodlands at Dugda Woreda, East Shewa, Ethiopia (Figure 1), extends from 8°6′00″ to 8°10′00″°N latitude and 38°42′30″ to 38°51′30″°E longitude. e capital city of the Woreda, Meki, is located 132 km south of Addis Ababa, the capital of Ethiopia. e study area is characterized by varied land features, including mountains, flatland, and agricultural fields. e altitude varies from 1600 to 2020 meters masl. Dugda Woreda has 2 major traditional agroclimatic zones, 45% Woyna Dega (midhighland), and 55% Kola (low land). Temperature and rainfall data were collected from the National Meteorological Agency (NMA). e mean annual temperature of the study area was 12.7°C. e mean maximum and minimum temperatures recorded in March and November were 28°C. e area receives a mean annual rainfall of 750 mm with a monomodal pattern, which falls much between October and November. Dugda Woreda has a total population of 163099 people; of these, 85478 were males and 77621 were females. According to [18], a survey of land in this Woreda shows that 65.25% of its land is cultivated, 8.32% is forest, 3.55% is pasture, 12.54% is water bodies, and 0.31% and 10.03% are swampy and rocky mountain areas [11]. Dugda Woreda protected woodland communities are broadly categorized as Acacia-Commiphora woodland with dominant Acacia tortilis, Vachellia gerrardii, and Balanites aegyptiaca species. us, the decline in severity and vegetation cover is higher in these lowland protected areas because they are remote and have a scarcity of resources [12].

Sampling Design.
A reconnaissance survey was undertaken for this study from the first week of November 2017 to have an impression of the woodland sites and vegetation distribution and to decide the reasonable sampling methods. During the surveying period, supportive information was collected from the woreda administrative office and local households living near the woodland. A systematic sampling method was used for collecting vegetation data. For protected and open graze land woodland, 30 plots with 30 m × 30 m (900 m 2 ) quadrants for woody species and 10 m × 10 m (100 m 2 ) at two opposite corner of the plot were laid out for collecting shrub data at every 100 m along 12 parallel transect lines. All transects and plots were located using a compass and Geographical Positioning System (GPS) of a navigation system.

Data Collection.
Woody vegetation: the detailed vegetation data were collected during the flowering and fruiting season from August 26 to December 30, 2017. Trees and shrubs: in the main plot (600 m 2 ) area, each plant (stem) of all tree and shrub species with a diameter at breast height (DBH) ≥2.5 cm abundance was counted and their circumference was recorded (diameter). Plant species outside plots were also recorded to give a complete list of species. Height of individual trees and shrubs ≥2 m was recorded for every individual woody plant having a diameter at breast height (DBH) ≥2.5 cm [13]. Diameter at breast height (DBH) was measured using a tree caliper and tape meter, while height was measured using a clinometer and visual estimation. Trees with multiple stems arising from the ground level were measured individually and developed a common diameter at breast height (DBH) of all stems by summing up their square roots following the guidelines in [14]. Anthropogenic disturbance: in addition to recording the physiographic variables (altitude, latitude, and longitude), human disturbances such as grazing intensity, illegal logging, and collection firewood signs were recorded in 30 sampled plots. Based on the reconnaissance survey, grazing intensity, illegal logging frequency, and agricultural land explanation were identified as the most pronounced negative impacts in the protected woodland and open graze land; the degree of impact was estimated based on the qualitative presence and absence method./us. If any disturbance sign was present in the plot, it was scaled as presence � one; while if there was no disturbance sign in the plots, it was scaled as absence � zero.
Plant species identification was started in the field by recording the local name by asking local elders and referring to the scientific name identification using Flora of Ethiopia and Eritrea Volume 1-Volume 8 [15][16][17][18][19][20][21]. Specimens of identified and unidentified species were collected, pressed, and dried properly, following standard Ethiopian Herbarium (ETH) procedures, and taken to Addis Ababa University Herbarium for further confirmation and identification of specimens of those species, which could not be identified in the field.

Structural Data Analysis.
Diameter at breast height, height, basal area, tree density, frequency, and importance value index were used to describe the woody vegetation structure of a given forest. e following formulas were utilized in the Microsoft Excel spreadsheet program and presented in descriptive statistics.
Height: height of individuals' trees ̸ shrub plant species was arbitrarily defined by height class intervals [29]. Frequency of species: the probability of finding a species in a given sample area was as follows [22]: frequency(F) � number of plots in which a species occurs total number of plots laid out in the study site * 100, relative frequency(F) � frequency of a single species total frequency of all species * 100. (1) Finally, the frequency was summarized by class interval following the study of Lamprecht [23]. e frequency of the park was arranged into seven classes of 15% intervals: ≤5, Density was arranged by class intervals following the dry forest study of Atsbha et al. [21]. e protected woodlands were classified into five density class intervals: ≤2, 2.1-10, 10.1-50, 50.1-100, and >100.1 stems·ha −1 .
Basal area: it is the area outline of a plant near the ground surface and expressed in m 2 ·ha −1 [22]: where π � 3.14 and d is diameter at breast height (m). Dominance: the degree coverage of species occupied a space at ground level was as follows [24]:

(4)
Importance value index (IVI): it indicates the relative ecological importance of a given woody species on a particular site [22]: IVI � relative density(RD) + relative frequency(RF)

Statistical Analysis.
e n human disturbance variables (Illegal logging, explanation agricultural land, charcoal production, and grazing intensity) were analyzed using regression and correlation statistical method. All analyses were facilitated using the R-statistical package [25]. For qualitative analysis, descriptive statistics were used and these descriptive statistics graphs were performed with the Microsoft Office Excel 2007 software.

Species Composition and Diversity.
A total of 446 individual stems from free grazed woodland and 641 individual stems from protected woodland with a diameter at breast height (DBH) of ≥2.5 cm were collected. A total of 19 woody species were identified from 30 studied sample plots from protected and free grazed woodlands. Out of these, 18 woody species belonging to 17 genera and 7 families were identified from protected woodlands and 13 woody species belonging to 14 genera and 4 families were recorded from free grazed woodland (Table 1).
Twelve species are commonly found in both sites. Fabaceae, Balanitaceae, Capparidaceae, Verbenaceae, and Boraginaceae families were the most abundant families in both woodlands. From the total woody species, 68.42% were trees and 31.57% shrubs found in protected woodland; 76.92% were trees and 23.07% shrubs found in free grazed woodland ( Figure 2).

Diversity of Woody Species.
e mean of the Shannon-Wiener diversity index of woody species is 1.69 for free grazed woodland and 2.26 for protected woodland (Table 2).
e Shannon-Wiener diversity index is higher at protected woodland than free grazed woodland. e Simpson diversity index and evenness of woody species in protected woodland are 0.82 and 0.51, respectively. On the other hand, the Simpson diversity index and evenness of woody species in free protected woodland are 0.86 and 1.69, respectively. e species richness between the two study sites is also slightly different, with protected areas having higher (8.6) species richness than free gazed woodland (7.28) ( Table 2).

Vegetation Structure of Woodland.
Except for the mean of the height and diameter branch, the other structural parameters in the studied woodland varied significantly (P < 0.05) ( Table 3). e height and branch of the tree are not varied because the management of the woodland and environmental factors influence the growth of the species more or less the same.

Woody Species Frequency.
e frequency occurrence of woody species in protected woodland and free grazed woodland is different in Figures 3 and 4. In protected woodland, Acacia tortilis, Dichrostachys cinerea, Faidherbia albida, Acacia senegal, Acacia gerrardii, and Balanites aegyptiaca were among the most frequent species frequently. On the other hand, Carissa spinarum, Acacia oerfota, and Rhus vulgaris were among the least recorded woody species (Figure 3).
Similarly, Acacia tortilis, Balanites aegyptiaca, Acacia seyal, Acacia amythethophylla, Acacia gerrardii, and Dichrostachys cinerea were commonly found in free grazed woodland (Figure 4). e frequency of woody species in woodland is determined by human intervention and ecological factor.

Importance Value Index.
e dominant and ecologically most significant tree species in free grazed woodland were Acacia tortilis, Dichrostachys cinerea, Acacia amythethophylla, and Acacia gerrardii (Table 4) and in protected woodland were Acacia tortilis, Dichrostachys cinerea, Acacia gerrardii, Balanites aegyptiaca, Acacia Senegal, and Faidherbia albida (Table 5). Acacia tortilis was the most dominant and ecologically significant in both woodlands.

Size Distribution.
e first pattern was represented by Acacia tortilis (Figure 5(a)).
is pattern indicates the presence of the highest density in the lower DBH classes, with a gradual decrease in density towards the bigger classes. It represents an inverted J-shaped curve except for a slight decline in the first DBH class, and it suggests good reproduction and recruitment. e second pattern is represented by Dichrostachys cinerea (Figure 5(b)). is pattern indicates the presence of the highest density in the middle DBH classes, with a gradual decrease in density towards the bigger classes. It represents an inverted J-shaped curve except for a slight decline in the first DBH class, and it suggests good reproduction and recruitment. e third pattern was represented by a single species of Acacia gerrardii ( Figure 5(c)).
is pattern indicates the presence of the lowest density in the lower DBH classes with a gradual increase in density towards the bigger classes. It represents a J-shaped curve and it suggests there is not good reproduction and less sustainability ( Figure 6).

Species Composition and Diversity.
In the present study, we found that the species composition differed between the protected woodland site and the free grazed woodland site.
is difference in species composition might be associated with differences in grazing time and regeneration characteristics of individual tree and soil characteristics between the two sites [26]. e results from analyzed data showed that Fabaceae and Balanitaceae are the most dominant species in Giraba Korke Adii kebele woodland. Vachellia tortilis in free grazed woodland declined as a result of illegal cutting and collecting for fuelwood and Vachellia gerrardii found were highly declined in both woodlands as a result of less regeneration, illegal cutting, and harvest for fuelwood during mourning time in kebele. ose dominant species were gradually replaced with other species year to year, especially with Dichrostachys cinerea. Such changes in species composition have also been observed elsewhere, particularly in relation to uncontrolled grazing [26].        e overall diversity of woody plants was much higher in protected woodland (H' � 2.28) than free grazed woodland (H' � 1.692), which may be a consequence of the high species richness in protected woodland. It has been noted that the value of obtained empirical data usually falls between 1.5 and 3.5. is implies that the diversity of woody species at free grazed woodland falls at the lowest value of the diversity range. Cattle intervention and woodcutting during weeding and mourning may be responsible for the considerable  International Journal of Forestry Research floristic variations (richness of species, genera, and families and overall diversity) between the two sites.

Population Structure and Important Value Index.
Based on the assessment of diameter class distributions, the population structure patterns of the woody species recorded from protected and free grazed were categorized into six groups. Vachellia tortilis and Dichrostachys cinerea species in the protected woodland show inverted J-shaped distribution, which is widely acknowledged to indicate stable population structure, naturally replacing individuals of all age categories together with seedlings and saplings [27]. e results of the size distribution of protected woodland showed a similar trend, which was also reported from the semiarid areas of northern Ethiopia [28,29]. is indicates a good status of regeneration and stable population of the vegetation in Dugda Woreda with good opportunity for sustainable management. On the other hand, the result of the size distribution of free grazed woodland does not exhibit inverse J-shaped. Tree density is expressed as the number of trees per unit area and it is a crucial parameter for sustainable woodland management. e total density of all woody species was found to be 317.24 and 346.53 stems ha −1 at free gazed woodland and protected woodland use, respectively (Table 2). e total basal area of the woody plant was 3.1 ± 1 m 2 /ha in free grazed woodland and 4.2 ± 2 m 2 /ha in protected woodland (Table 2). Importance value index (IVI) is a good measure for summarizing vegetation characteristics of a given habitat and is useful to compare the ecological significance of species and for conservation practices. Vachellia tortilis, Vachellia gerrardii, Dichrostachys cinerea, and Vachellia amythetophylla at free grazed woodland and Vachellia tortilis, Dichrostachys cinerea, Vachellia gerrardii, and Senegalia senegal at protected woodland can be considered the most ecologically important woody species with IVI values based on the contributed high values of density, frequency, and dominance. It is interesting to note that Vachellia tortilis was recorded among the most ecologically important woody species at both study sites.

Conclusion
e Dugda Woreda woodland has a small number of woody species bound with small diversity. e woodland was dominated by woody species, which was dominated by the Fabaceae family. e renewal of species through regeneration was weak; the vulnerability of young plants slowed down the sustainability of woody species. However, human pressures on the majority of the species are represented by woody cuts during death mourning for fuelwood, overgrazing in free grazed woodland and camel intervention are considered as  International Journal of Forestry Research ecological and environmental problems, contributing to the degradation of the diversity in Dugda Woreda woodland. e present study has provided valuable information on woody species diversity, structure, and sustainability status of woody plants in the protected and free grazed woodland that would be used as an input for effective conservation of the area. e variation in population structure and regeneration status of the park indicates the long-time past disturbance of individual species and the whole resources of the park. e importance value index (IVI) values revealed that there is poor regeneration status in woodland due to the activities of human disturbance variables, particularly livestock browsing and grazing and human-induced fire following extensive cultivation and tradition and expansion of agriculture. ese factors lead to a decline in the density of seedling and sapling of common tree species, which are economically and ecologically important in the woodland.

Data Availability
In this manuscript, the vegetation-enumerated data used to support the findings of this study are included within the article.

Conflicts of Interest
e author declares that there are no conflicts of interest.