# Tree Species Richness, Diversity, and Vegetation Index for Federal Capital Territory, Abuja, Nigeria

Authors: Aladesanmi D Agbelade; Jonathan C. Onyekwelu; Matthew B. Oyun
Journal: International Journal of Forestry Research
 (2017)

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## Abstract

This study was conducted to investigate the tree species richness and diversity of urban and periurban areas of the Federal Capital Territory (FCT), Abuja, Nigeria, and produce Normalized Difference Vegetation Index (NDVI) for the territory. Data were collected from urban (Abuja city) and periurban (Lugbe) areas of the FCT using both semistructured questionnaire and inventory of tree species within green areas. In the study location, all trees with diameter at breast height (dbh) ≥ 10 cm were identified; their dbh was measured and frequency was taken. The NDVI was calculated in ArcGIS 10.3 environment using standard formula. A cumulative total of twenty-nine (29) families were encountered within the FCT, with 27 occurring in Abuja city (urban centre) and 12 in Lugbe (periurban centre) of the FCT. The results of Shannon-Wiener diversity index(H′) for the two centres are 3.56 and 2.24 while Shannon’s maximum diversity index (Hmax) is 6.54 (Abuja city) and 5.36 (Lugbe) for the urban (Abuja city) and periurban (Lugbe) areas of the Federal Capital Territory (FCT). The result of tree species evenness (Shannon’s equitability (EH) index) in urban and periurban centres was 0.54 and 0.42, respectively. The study provided baseline information on urban and periurban forests in the FCT of Nigeria, which can be used for the development of tree species database of the territory.


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## Body

## 1. Introduction

Urban forests are made up of the trees, shrubs, and other vegetative covers that play important role in human life. Urban forests serve important roles such as tree species diversity conservation and protection of fragile ecosystem; development of parks and event centres for relaxation and social engagements; provision of vegetable and fruits/seeds for foods and medicines; and purification of air, wind break, and beautification of the environment [1]. Research in developing countries has revealed that trees are planted around houses for fruits, nuts, leaves, fuelwood, fodder, vegetables, shade, and windbreaks [2]. In traditional African settlements, it is usually common to plant trees in village squares to provide shade for social meetings, ceremonies, recreation, and religious worships. The growing urban population in Nigeria is redefining urban forestry practices and has presented new challenges and opportunities for researchers.Urbanization in developing countries is on the increase and this has resulted in social burden in the urban cities due to their limited capacity to adapt to socioeconomic challenges of the new environments [3]. Global projections indicate that future trends in urbanization could triple between 2000 and 2030 [4–7]. According to 2011 revision of World Urbanization Prospects, the urban areas of the world is expected to gain 1.4 billion people between 2011 and 2030, 37% of which will come from China (276 million) and India (218 million). The report predicts that between 2030 and 2050 another 1.3 billion people will be added to the global urban population. With a total addition of 121 million people, Nigeria will be the second major contributor next to India (270 million) [8]. The negative effect of urban expansion includes threat to ecosystem biodiversity and carbon emissions due to tropical deforestation and expansion of social infrastructure [9].The increasing population of Abuja city, Nigeria’s Federal Capital Territory (FCT), has led to a wide range of challenges which has now put lots of pressure on land, forest and forest resources, and green spaces and exposed the city to different environmental hazards. Environmental hazards such as air pollution, wind, and water erosion are on the increase as a result of deforestation and population increase within the FCT and this is evident in different parts of Nigeria cities [2, 10]. In our growing urbanized environments, the maintenance and development of urban vegetated areas are among the challenges of sustainable urban planning [2, 11].Research has suggested that urban forest and urban green areas could be another effective means of biodiversity conservation and ecosystems potentials in terms of physiological, sociological, economic, and aesthetic benefits [12]. Urban forests could also be used to reduce the challenges posed by urbanization such as food insecurity, energy shortage, deteriorating air quality, high temperatures, health hazards, and increased noise levels [2]. Other benefits derived from urban forests include healthy environment which translates to healthy citizens, beautification of the environment and scenery, cooler air temperature, reductions in ultraviolet radiation, and social and ecological benefits [9, 11, 13]. This study investigates tree species richness, diversity, and vegetation index for Federal Capital Territory, Abuja, Nigeria.


## 2. Methodology

### 2.1. Location of Study Area

The study was conducted in Abuja, the Federal Capital Territory (FCT) of Nigeria. The city lies between latitude and 9°03′ and 9°07′N and longitude 7°26′ and 7°39′E in the North central region of Nigeria. Abuja experiences tropical wet and dry climate. The FCT experiences a warm, humid rainy season and a blistering dry season (harmattan), occasioned by the northeast trade wind, with the main features of dust haze, intensified coldness, and dryness. Rainfall in the FCT reflects the territory’s location on the windward side of the Jos Plateau and the zone of rising air masses. Balogun [14] opined that, due to the hilly and mountainous nature of Abuja city, orographic activities bring heavy and frequent rainfall during the rainy season. The rainy season begins in March and ends in November, with peak in September, during which abundant rainfall is received. Mean annual rainfall in Abuja ranges from 1000 mm to 1600 mm. Mean monthly temperature ranges between 25.8°C and 30.2°C [14, 15]. The soils of the study area are basically Alluvial and Luvisols, which supports growth of tree species such asKhaya spp.,Parkia biglobosa,Delonix regia,Eucalyptus spp.,Azadirachta indica, andGmelina arborea [16].Lugbe is one of the popular suburban settlements in Abuja. It is in the Abuja Municipal Area Council (AMAC). It is largely residential and densely populated. Lugbe is about 17 minutes’ drive from the Central Business District of Abuja and 13 minutes’ drive to the Abuja Airport. Though Lugbe is not in the Federal Capital City (FCC), its proximity to the city centre and also to the Abuja Airport has brought it into lime light and attracted significant development to the area. The area is developing very fast and it houses the National Space Development and Research Agency, Federal Housing Authority (FHA) Estate, and Voice of Nigeria Transmission Station.


## 2.1. Location of Study Area

The study was conducted in Abuja, the Federal Capital Territory (FCT) of Nigeria. The city lies between latitude and 9°03′ and 9°07′N and longitude 7°26′ and 7°39′E in the North central region of Nigeria. Abuja experiences tropical wet and dry climate. The FCT experiences a warm, humid rainy season and a blistering dry season (harmattan), occasioned by the northeast trade wind, with the main features of dust haze, intensified coldness, and dryness. Rainfall in the FCT reflects the territory’s location on the windward side of the Jos Plateau and the zone of rising air masses. Balogun [14] opined that, due to the hilly and mountainous nature of Abuja city, orographic activities bring heavy and frequent rainfall during the rainy season. The rainy season begins in March and ends in November, with peak in September, during which abundant rainfall is received. Mean annual rainfall in Abuja ranges from 1000 mm to 1600 mm. Mean monthly temperature ranges between 25.8°C and 30.2°C [14, 15]. The soils of the study area are basically Alluvial and Luvisols, which supports growth of tree species such asKhaya spp.,Parkia biglobosa,Delonix regia,Eucalyptus spp.,Azadirachta indica, andGmelina arborea [16].Lugbe is one of the popular suburban settlements in Abuja. It is in the Abuja Municipal Area Council (AMAC). It is largely residential and densely populated. Lugbe is about 17 minutes’ drive from the Central Business District of Abuja and 13 minutes’ drive to the Abuja Airport. Though Lugbe is not in the Federal Capital City (FCC), its proximity to the city centre and also to the Abuja Airport has brought it into lime light and attracted significant development to the area. The area is developing very fast and it houses the National Space Development and Research Agency, Federal Housing Authority (FHA) Estate, and Voice of Nigeria Transmission Station.


## 3. Data Collection

The city of Abuja was purposefully selected as the urban sector for this research based on its high infrastructural development, population density, and its economic importance in Nigeria while the closest satellite town (Lugbe) was selected as the periurban settlement. Both semistructured questionnaire and biodiversity assessment were used for data collection. The questionnaire was used to obtain information on the socioeconomic and environmental benefits of urban forest. Twenty respondents were purposefully selected in each urban and periurban centre of the FCT, which translated to a total of forty (40) questionnaires for this study. Administration of questionnaires was done using snowball sampling; respondents were those who own tree(s) or who have association(s) with tree(s). This was supported by earlier study by [11] which used snowball sampling methods due to the peculiarity of urban forest development in Ibadan metropolis. These questionnaires were administered in form of interview guide, such that respondents were requested to complete and return them immediately, thus resulting in 100% retrieval. The study covers 20% of Abuja Federal Capital Territory (FCT) built-up centres. The biodiversity assessment entails complete enumeration of tree species in public parks/garden, private gardens/home gardens, avenue/roadside trees, school grounds, public and private institutions, and any space with conglomerates of trees. Within the selected urban and periurban centre, all trees with diameter at breast height (dbh) ≥ 10 cm were identified; their diameters at breast height, diameters at the base, middle, and top, and total height were measured while their frequencies were taken. All tree species in each city were assigned to families using Keay [17] as guide.


## 4. Data Processing and Analysis

### 4.1. Computation of Normalized Difference Vegetation Index (NDVI)

Normalized Difference Vegetation Index (NDVI) is one of the most widely used vegetation indices, which is applicable in satellite analysis and monitoring of vegetation cover [18, 19]. In this study, the NDVI was calculated in ArcGIS 10.3 environment using(1)NDVI=NIR-VISNIR+VIS,where NDVI is Normalized Difference Vegetation Index, NIR is near infrared, and VIS is visible red reflectance.The value of the pixels varies between −1 and +1; the higher the value of NDVI, the richer and healthier the vegetation cover of such environment.


### 4.2. Computation of Growth Parameters and Biodiversity Indices

The computations of the following growth parameter and biodiversity indices were undertaken.


#### 4.2.1. Basal Area

The basal area of all trees in this study area was calculated using(2)BA=πD24,where BA is basal area (m2), D is diameter at breast height (cm), and π is pie (3.142). The total BA for the city was obtained by adding all trees BA in the city.


#### 4.2.2. Volume

Volume of individual trees was estimated using tree volume equation developed Newton’s formula as follows [20]:(3)V=πhDb2+4Dm2+Dt224,where V is tree volume (m3), Db, Dm, and Dt are diameters (m) at the base, middle, and top of each tree, and h is total tree height (m).


#### 4.2.3. Species Relative Density (RD)

Species relative density, which is an index for assessing species relative distribution [21], was computed with(4)RD=niN×100,where RD (%) is species relative density; ni is the number of individuals of species i; and N is the total number of all individual trees of all species in the entire community.


#### 4.2.4. Species Relative Dominance (RDo)

Species Relative Dominance (RDo (%)), used in assessing relative space occupancy of a tree, was estimated using [22](5)RDo=∑Bai×100∑Ban,where Bai is basal area of all trees belonging to a particular species i and Ban is basal area of all trees in a city.


#### 4.2.5. Importance Value Index (IVI)

The Importance Value Index (IVI) of each species was computed with the relationship in the following equation [21]:(6)IVI=RD+RDo2.


#### 4.2.6. Species Diversity Index

Species diversity index(H′) was computed using the Shannon-Wiener diversity index in the following equation [23, 24]:(7)H′=-∑i=1sPiln⁡Pi,where H′ is Shannon-Wiener diversity index; s is the total number of species in the community; Pi is the proportion ofS made up of theith species; and ln is natural logarithm.


#### 4.2.7. Shannon’s Maximum Diversity Index

Shannon’s maximum diversity index was calculated using [24](8)Hmax=ln⁡S,where Hmax is Shannon’s maximum diversity index and S is the total number of species in the community.


#### 4.2.8. Species Evenness

Species evenness in each city was determined using Shannon’s equitability(EH), which was obtained using [23](9)EH=H′Hmax=-∑i=1sPiln⁡Piln⁡S.


#### 4.2.9. Sorensen’s Species Similarity Index

Sorensen’s species similarity index between two cities was calculated using [25, 26](10)SI=2Ca+b×100,where C is the number of species in sites a  and  b and a  and  b = number of species at sites 1 and 2, respectively.


### 4.3. Data Analyses

After retrieval, the questionnaires were coded to obtain quantitative values for statistical analysis. Descriptive analysis was used to summarise the data while correlation analysis was used to investigate the relationships between some biodiversity indices and growth variables. Student’st-test was used to test for significant difference in the growth variables of individual trees in urban and periurban areas for the study. All statistical analyses were undertaken using Statistical Package for Social Sciences (SPSS 20.0) software package. Normalized Difference Vegetation Index of the entire city was calculated and analysed in ArcGIS 10.3 environment to determine the level of greenness of the city between 2000 and 2015.


## 4.1. Computation of Normalized Difference Vegetation Index (NDVI)

Normalized Difference Vegetation Index (NDVI) is one of the most widely used vegetation indices, which is applicable in satellite analysis and monitoring of vegetation cover [18, 19]. In this study, the NDVI was calculated in ArcGIS 10.3 environment using(1)NDVI=NIR-VISNIR+VIS,where NDVI is Normalized Difference Vegetation Index, NIR is near infrared, and VIS is visible red reflectance.The value of the pixels varies between −1 and +1; the higher the value of NDVI, the richer and healthier the vegetation cover of such environment.


## 4.2. Computation of Growth Parameters and Biodiversity Indices

The computations of the following growth parameter and biodiversity indices were undertaken.


### 4.2.1. Basal Area

The basal area of all trees in this study area was calculated using(2)BA=πD24,where BA is basal area (m2), D is diameter at breast height (cm), and π is pie (3.142). The total BA for the city was obtained by adding all trees BA in the city.


### 4.2.2. Volume

Volume of individual trees was estimated using tree volume equation developed Newton’s formula as follows [20]:(3)V=πhDb2+4Dm2+Dt224,where V is tree volume (m3), Db, Dm, and Dt are diameters (m) at the base, middle, and top of each tree, and h is total tree height (m).


### 4.2.3. Species Relative Density (RD)

Species relative density, which is an index for assessing species relative distribution [21], was computed with(4)RD=niN×100,where RD (%) is species relative density; ni is the number of individuals of species i; and N is the total number of all individual trees of all species in the entire community.


### 4.2.4. Species Relative Dominance (RDo)

Species Relative Dominance (RDo (%)), used in assessing relative space occupancy of a tree, was estimated using [22](5)RDo=∑Bai×100∑Ban,where Bai is basal area of all trees belonging to a particular species i and Ban is basal area of all trees in a city.


### 4.2.5. Importance Value Index (IVI)

The Importance Value Index (IVI) of each species was computed with the relationship in the following equation [21]:(6)IVI=RD+RDo2.


### 4.2.6. Species Diversity Index

Species diversity index(H′) was computed using the Shannon-Wiener diversity index in the following equation [23, 24]:(7)H′=-∑i=1sPiln⁡Pi,where H′ is Shannon-Wiener diversity index; s is the total number of species in the community; Pi is the proportion ofS made up of theith species; and ln is natural logarithm.


### 4.2.7. Shannon’s Maximum Diversity Index

Shannon’s maximum diversity index was calculated using [24](8)Hmax=ln⁡S,where Hmax is Shannon’s maximum diversity index and S is the total number of species in the community.


### 4.2.8. Species Evenness

Species evenness in each city was determined using Shannon’s equitability(EH), which was obtained using [23](9)EH=H′Hmax=-∑i=1sPiln⁡Piln⁡S.


### 4.2.9. Sorensen’s Species Similarity Index

Sorensen’s species similarity index between two cities was calculated using [25, 26](10)SI=2Ca+b×100,where C is the number of species in sites a  and  b and a  and  b = number of species at sites 1 and 2, respectively.


## 4.2.1. Basal Area

The basal area of all trees in this study area was calculated using(2)BA=πD24,where BA is basal area (m2), D is diameter at breast height (cm), and π is pie (3.142). The total BA for the city was obtained by adding all trees BA in the city.


## 4.2.2. Volume

Volume of individual trees was estimated using tree volume equation developed Newton’s formula as follows [20]:(3)V=πhDb2+4Dm2+Dt224,where V is tree volume (m3), Db, Dm, and Dt are diameters (m) at the base, middle, and top of each tree, and h is total tree height (m).


## 4.2.3. Species Relative Density (RD)

Species relative density, which is an index for assessing species relative distribution [21], was computed with(4)RD=niN×100,where RD (%) is species relative density; ni is the number of individuals of species i; and N is the total number of all individual trees of all species in the entire community.


## 4.2.4. Species Relative Dominance (RDo)

Species Relative Dominance (RDo (%)), used in assessing relative space occupancy of a tree, was estimated using [22](5)RDo=∑Bai×100∑Ban,where Bai is basal area of all trees belonging to a particular species i and Ban is basal area of all trees in a city.


## 4.2.5. Importance Value Index (IVI)

The Importance Value Index (IVI) of each species was computed with the relationship in the following equation [21]:(6)IVI=RD+RDo2.


## 4.2.6. Species Diversity Index

Species diversity index(H′) was computed using the Shannon-Wiener diversity index in the following equation [23, 24]:(7)H′=-∑i=1sPiln⁡Pi,where H′ is Shannon-Wiener diversity index; s is the total number of species in the community; Pi is the proportion ofS made up of theith species; and ln is natural logarithm.


## 4.2.7. Shannon’s Maximum Diversity Index

Shannon’s maximum diversity index was calculated using [24](8)Hmax=ln⁡S,where Hmax is Shannon’s maximum diversity index and S is the total number of species in the community.


## 4.2.8. Species Evenness

Species evenness in each city was determined using Shannon’s equitability(EH), which was obtained using [23](9)EH=H′Hmax=-∑i=1sPiln⁡Piln⁡S.


## 4.2.9. Sorensen’s Species Similarity Index

Sorensen’s species similarity index between two cities was calculated using [25, 26](10)SI=2Ca+b×100,where C is the number of species in sites a  and  b and a  and  b = number of species at sites 1 and 2, respectively.


## 4.3. Data Analyses

After retrieval, the questionnaires were coded to obtain quantitative values for statistical analysis. Descriptive analysis was used to summarise the data while correlation analysis was used to investigate the relationships between some biodiversity indices and growth variables. Student’st-test was used to test for significant difference in the growth variables of individual trees in urban and periurban areas for the study. All statistical analyses were undertaken using Statistical Package for Social Sciences (SPSS 20.0) software package. Normalized Difference Vegetation Index of the entire city was calculated and analysed in ArcGIS 10.3 environment to determine the level of greenness of the city between 2000 and 2015.


## 5. Results

### 5.1. Biodiversity Indices and Growth Variables

A cumulative total of twenty-nine (29) families were encountered within the FCT, with 27 occurring in Abuja city (i.e., urban centre) and 12 in Lugbe (i.e., periurban centre) of the FCT (Table1). Within the urban and periurban areas, families with high number of tree species include Fabaceae, Moraceae, Euphorbiaceae, Combretaceae, Arecaceae, and Myrtaceae. A pooled total of 69 in Abuja city and 20 in Lugbe were identified within the FCT. Numbers of tree species were higher in the urban centre (Abuja city) than in the periurban area (Lugbe) (Table 1). The results of Student’st-test showed that both number of family and tree species were significantly higher in the urban area than the periurban area of the FCT. Based on the results of tree growth parameters, the trees in the urban area were larger than those in the periurban area. Results in Table 1 show that mean dbh (59.3 cm), basal area (51.03 m2), volume (752.8 m3), and maximum dbh (212.3 cm) of tree in Abuja city (urban area) were significantly higher than the values recorded for the corresponding parameters in Lugbe (periurban area). Also, the frequency of occurrence of individual trees in urban area of Abuja was significantly higher than that of the periurban centre of the city.Table 1
Summary result of biodiversity indices and growth parameters for tree species in urban and periurban areas of FCT.
Benefits derived Federal Capital Territory (FCT) Urban forest Periurban forest Number of individual trees 695a 213b Number of species 69a 20b Number of families 27a 12b Mean Dbh (cm) 59.3a 16.2b Basal area (m2) 51.03a 13.70b Maximum Dbh (cm) 212.3a 190.7b Volume (m3) 752.8a 191b Diversity index(H′) 3.56a 2.24b Max diversity(Hmax) 6.54a 5.36b Species evenness(EH) 0.54a 0.42a Values followed by similar letters are not significantly different(p>0.05).The results of Shannon-Wiener diversity index(H′) for the two centres are 3.56 and 2.24 while Shannon’s maximum diversity index (Hmax) is 6.54 (Abuja city) and 5.36 (Lugbe) for the urban (Abuja city) and periurban (Lugbe) areas of the Federal Capital Territory (FCT). The result of tree species evenness (Shannon’s equitability (EH) index) in urban and periurban centres was 0.54 and 0.42, respectively.The result also revealed that the species relative density (RD) for individual trees in the urban and periurban centres of the FCT ranged from 0.14 to 10.41% in Abuja city and from 0.47 to 33.80% Lugbe (Tables2 and 3). Tree species with high relative density (RD) in Lugbe wereGmelina arborea,Parkia biglobosa, andMangifera indica, accounting for 33.80%, 12.21%, and 9.39%, respectively, while in Abuja cityGmelina arborea(10.40%),Terminalia ivorensis(6.07%), andDelonix regia (5.35%) had high relative density. Species Relative Dominance (RDo) varied from 0.04 to 6.94% in Abuja city and from 0.15 to 20.85% in Lugbe. Within the urban areas (Abuja city), tree species with high Relative Dominance (RDo) wereSpathodea campanulata(6.94%),Nauclea latifolia(5.68%), andAzadirachta indica(5.60%) while, in the periurban areas (Lugbe) of the FCT,Azadirachta indica(20.85%),Ricinodendron heudelotii(16.77%), andNauclea diderrichii(10.59%) dominated. Tree species with high Importance Value Index wereGmelina arborea(5.82%),Azadirachta indica(3.96%), andKhaya senegalensis(3.74%) in Abuja city whileAzadirachta indica(14.18%),Parkia biglobosa(10.09%), andRicinodendron heudelotii (8.62%) were species with high importance in the floristic composition of Lugbe (Tables 2 and 3).Table 2
Biodiversity indices and growth parameters of individual trees in the urban areas (Abuja city) of the Federal Capital Territory, Nigeria.
S/N Tree species Family FQ MHt MDbh B.A Vol. RD RDO IVI 1 Adansonia digitata Bombacaceae 3 4.2 51.0 1.84 7.72 0.43 3.60 2.02 2 Albizia falcata Fabaceae 1 19.8 16.0 0.02 0.40 0.14 0.04 0.09 3 Albizia ferruginea Fabaceae 1 17.0 138.0 1.50 25.43 0.14 2.93 1.54 4 Alstonia boonei Apocynaceae 1 14.6 86.4 0.59 8.56 0.14 1.15 0.65 5 Anacardium occidentale Anacardiaceae 1 18.8 32.0 0.08 1.51 0.14 0.16 0.15 6 Anogeissus leiocarpa Combretaceae 2 17.1 84.1 2.22 37.96 0.29 4.35 2.32 7 Azadirachta indica Meliaceae 16 19.1 11.9 2.86 54.56 2.31 5.60 3.96 8 Bambusa vulgaris Poaceae 3 16.6 12.8 0.12 1.93 0.43 0.23 0.33 9 Bauhinia monandra Fabaceae 5 12.7 11.7 0.27 3.44 0.72 0.53 0.63 10 Bauhinia polyantha Leguminosae 1 18.5 105.0 0.87 16.02 0.14 1.70 0.92 11 Blighia sapida Sapindaceae 1 13.4 65.0 0.33 4.45 0.14 0.65 0.40 12 Bosqueia angolensis Moraceae 24 18.8 3.2 0.46 8.66 3.47 0.90 2.19 13 Caesalpinia pulcherrima Fabaceae 3 11.7 6.0 0.03 0.30 0.43 0.05 0.24 14 Calliandra calothyrsus Leguminosae 7 8.6 8.3 0.26 2.26 1.01 0.52 0.76 15 Callitris intratropica Cupressaceae 1 16.8 112.0 0.99 16.55 0.14 1.93 1.04 16 Cassia pleurocarpa Caesalpiniaceae 7 8.4 4.6 0.08 0.69 1.01 0.16 0.59 17 Casuarina equisetifolia Casuarinaceae 11 10.8 6.6 0.41 4.41 1.59 0.80 1.19 18 Ceiba pentandra Bombacaceae 6 9.5 21.6 1.31 12.48 0.87 2.57 1.72 19 Citrus aurantifolia Rutaceae 9 14.2 7.9 0.39 5.61 1.30 0.77 1.04 20 Cleistopholis patens Annonaceae 5 15.6 17.4 0.59 9.27 0.72 1.17 0.94 21 Cocos nucifera Arecaceae 11 8.4 5.3 0.26 2.22 1.59 0.52 1.05 22 Cola gigantean Malvaceae 1 15.8 109.0 0.93 14.75 0.14 1.83 0.99 23 Corymbia citriodora Myrtaceae 1 13.4 36.0 0.10 1.36 0.14 0.20 0.17 24 Dacryodes edulis Burseraceae 1 12.6 74.8 0.44 5.54 0.14 0.86 0.50 25 Daniellia oliveri Leguminosae 20 12.8 7.2 1.62 20.70 2.89 3.17 3.03 26 Delonix regia Fabaceae 37 14.2 1.2 0.17 2.38 5.35 0.33 2.84 27 Drypetisspp. Nymphalidae 4 15.0 23.1 0.67 10.06 0.58 1.31 0.95 28 Elaeis guineensis Arecaceae 1 14.2 47.8 0.18 2.55 0.14 0.35 0.25 29 Eucalyptus camaldulensis Myrtaceae 1 11.0 42.0 0.14 1.52 0.14 0.27 0.21 30 Eucalyptus citriodora Myrtaceae 32 17.6 4.3 1.46 25.65 4.62 2.86 3.74 31 Eucalyptus forrestiana Myrtaceae 10 11.0 4.2 0.14 1.50 1.45 0.27 0.86 32 Euphorbia dendroides Euphorbiaceae 1 8.0 52.0 0.21 1.70 0.14 0.42 0.28 33 Ficus goliath Moraceae 14 15.5 5.0 0.38 5.93 2.02 0.75 1.39 34 Gmelina arborea Verbenaceae 72 14.0 1.2 0.63 8.83 10.40 1.24 5.82 35 Hildegardia baterii Malvaceae 1 15.7 89.6 0.63 9.90 0.14 1.24 0.69 36 Hura crepitans Euphorbiaceae 8 11.6 10.8 0.58 6.74 1.16 1.14 1.15 37 Jatropha curcas Euphorbiaceae 1 4.0 16.0 0.02 0.08 0.14 0.04 0.09 38 Khaya senegalensis Meliaceae 32 17.6 4.3 1.46 25.65 4.62 2.86 3.74 39 Lophira alata Ochnaceae 1 15.2 115.0 1.04 15.79 0.14 2.04 1.09 40 Lophira procera Ochnaceae 3 12.3 15.4 0.17 2.07 0.43 0.33 0.38 41 Mangifera indica Anacardiaceae 20 11.1 2.1 0.13 1.48 2.89 0.26 1.58 42 Milicia excelsa Moraceae 2 19.6 57.5 1.04 20.36 0.29 2.04 1.16 43 Milicia regia Moraceae 1 14.4 90.1 0.64 9.18 0.14 1.25 0.70 44 Millettia thonningii Fabaceae 5 13.5 14.5 0.41 5.59 0.72 0.81 0.77 45 Morinda lucida Rubiaceae 1 14.8 68.8 0.37 5.50 0.14 0.73 0.44 46 Moringa oleifera Moringaceae 2 17.0 16.5 0.09 1.45 0.29 0.17 0.23 47 Nauclea diderrichii Rubiaceae 2 15.5 68.0 1.45 22.49 0.29 2.84 1.57 48 Nauclea latifolia Rubiaceae 2 14.3 96.1 2.90 41.45 0.29 5.68 2.99 49 Parkia biglobosa Fabaceae 26 16.3 4.5 1.09 17.80 3.76 2.14 2.95 50 Pueraria phaseoloides Leguminosae 1 13.5 132.0 1.37 18.48 0.14 2.68 1.41 51 Pinus caribaea Pinaceae 7 11.9 8.0 0.25 2.95 1.01 0.49 0.75 52 Pinus caribaea Pinaceae 6 7.1 14.7 0.61 4.36 0.87 1.20 1.04 53 Plumeria alba Apocynaceae 19 12.1 3.7 0.39 4.78 2.75 0.77 1.76 54 Polyalthia longifolia Annonaceae 31 13.2 2.5 0.48 6.32 4.48 0.94 2.71 55 Psidium guajava Myrtaceae 3 19.4 14.2 0.14 2.77 0.43 0.28 0.36 56 Ravenala madagascariensis Strelitziaceae 1 15.4 36.0 0.10 1.57 0.14 0.20 0.17 57 Ricinodendron heudelotii Euphorbiaceae 1 6.8 171.0 2.30 15.62 0.14 4.50 2.32 58 Roystonea dunlapiana Arecaceae 24 16.6 5.6 1.40 23.31 3.47 2.75 3.11 59 Roystonea regia Arecaceae 21 17.8 3.8 0.49 8.79 3.03 0.97 2.00 60 Senna siamea Fabaceae 6 21.2 14.8 0.62 13.13 0.87 1.21 1.04 61 Spathodea campanulata Bignoniaceae 1 22.2 212.3 3.54 78.60 0.14 6.94 3.54 62 Tectona grandis Lamiaceae 11 16.0 10.7 1.09 17.50 1.59 2.14 1.87 63 Terminalia catappa Combretaceae 37 7.9 0.7 0.05 0.37 5.35 0.09 2.72 64 Terminalia ivorensis Combretaceae 42 9.1 0.7 0.08 0.70 6.07 0.15 3.11 65 Terminalia macroptera Combretaceae 31 11.6 3.5 0.92 10.71 4.48 1.81 3.14 66 Terminalia superba Combretaceae 9 12.7 13.6 1.17 14.85 1.30 2.29 1.80 67 Treculia africana Moraceae 1 6.0 85.8 0.58 3.47 0.14 1.13 0.64 68 Vachellia nilotica Fabaceae 17 9.2 3.6 0.30 2.74 2.46 0.58 1.52 69 Vitex doniana Verbenaceae 2 16.4 42.5 0.57 9.31 0.29 1.11 0.70  692   51.02 752.75 FQ: number of tree stems in the city, B.A.: basal area of trees in the city, Vol.: volume of trees in the city.Table 3
Biodiversity indices and growth parameters of individual trees in the periurban areas (Abuja city) of the Federal Capital Territory, Nigeria.
S/N Tree species Family FQ MHt MDbh B.A Vol. RD RDO IVI 1 Albizia falcate Fabaceae 1 19.8 16.0 0.02 0.40 0.47 0.15 0.31 2 Azadirachta indica Meliaceae 16 19.1 11.9 2.86 54.56 7.51 20.85 14.18 3 Cleistopholis patens Annonaceae 5 15.6 17.4 0.59 9.27 2.35 4.34 3.34 4 Cocos nucifera Arecaceae 11 8.4 5.3 0.26 2.22 5.16 1.93 3.55 5 Delonix regia Fabaceae 17 14.2 2.7 0.17 2.38 7.98 1.22 4.60 6 Elaeis guineensis Arecaceae 1 14.2 47.8 0.18 2.55 0.47 1.31 0.89 7 Euphorbia dendroides Euphorbiaceae 1 8.0 52.0 0.21 1.70 0.47 1.55 1.01 8 Ficus goliath Moraceae 4 15.5 17.5 0.38 5.93 1.88 2.79 2.34 9 Gmelina arborea Verbenaceae 72 14.0 1.2 0.63 8.83 33.80 4.60 19.20 10 Hildegardia baterii Malvaceae 1 15.7 89.6 0.63 9.90 0.47 4.60 2.54 11 Jatropha curcas Euphorbiaceae 1 4.0 16.0 0.02 0.08 0.47 0.15 0.31 12 Mangifera indica Anacardiaceae 20 11.1 2.1 0.13 1.48 9.39 0.97 5.18 13 Nauclea diderrichii Rubiaceae 2 15.5 68.0 1.45 22.49 0.94 10.59 5.76 14 Parkia biglobosa Fabaceae 26 16.3 4.5 1.09 17.80 12.21 7.97 10.09 15 Ravenala madagascariensis Strelitziaceae 1 15.4 36.0 0.10 1.57 0.47 0.74 0.61 16 Ricinodendron heudelotii Euphorbiaceae 1 6.8 171.0 2.30 15.62 0.47 16.77 8.62 17 Senna siamea Fabaceae 6 21.2 14.8 0.62 13.13 2.82 4.52 3.67 18 Terminalia superba Combretaceae 9 12.7 13.6 1.17 14.85 4.23 8.53 6.38 19 Treculia Africana Moraceae 1 6.0 85.8 0.58 3.47 0.47 4.22 2.35 20 Vachellia nilotica Fabaceae 17 9.2 3.6 0.30 2.74 7.98 2.18 5.08  213   13.7 191.0 FQ: number of tree stems in the city, B.A.: basal area of trees in the city, Vol.: volume of trees in the city.


### 5.2. Benefits Derived from Urban Forests

Urban forest benefits are numerous, important, and beneficial to human livelihood, reduce health related problems, and contribute to the amelioration of both micro- and macroclimates. Table4 indicates that people are aware of the various benefits derived from urban forest. The majority of respondents (70%) in Lugbe (periurban area) and Abuja (urban area) opined that they derive fresh air from trees around them. A much higher percentage (85%) of respondents in the periurban area derived fuelwood for their cooking purposes from urban forest when compared to the 10% of respondents in urban area who indicated that they sourced fuelwood from urban forests. About 50% and 65% of the respondents in urban and periurban centres, respectively, derived edible fruits from trees around them. Between 40 and 50% of the respondents in urban and periurban centres of the FCT indicated that they derived vegetables from trees around them, which they used for their diet. High percentage (60 to 75%) of respondents in both urban and periurban centres use tree as windbreak to protect their buildings and other structures. The percentage of respondents who use trees for shade for the purpose of social gathering in both urban (Abuja; 60%) and periurban areas (Lugbe; 75%) is relatively high, which is similar to the percentage of those who use urban forest facilities for relaxation/garden/bar/joint purposes (70 to 60%) (Table 4). About 40% and 50% of the respondents in Abuja city and Lugbe, respectively, make use of different parts of trees around them for medicines for curing different diseases (Table 4).Table 4
Benefits derived by respondents (%) from urban and periurban forests in the Federal Capital Territory, Nigeria.
Benefits derived Abuja (FCT) Urban area(%)∗ Periurban area(%)∗ Medicine (herbs) 40 50 Relaxation/garden 70 60 Animal fodder 15 50 Fuel wood (cooking) 10 85 Shade (meetings) 65 70 Vegetable (soup) 50 40 Fresh air 70 70 Beautification 90 50 Edible fruits (food) 50 65 Windbreak 60 75 ∗Respondents were allowed to choose more than one option (i.e., multiple responses).


## 5.1. Biodiversity Indices and Growth Variables

A cumulative total of twenty-nine (29) families were encountered within the FCT, with 27 occurring in Abuja city (i.e., urban centre) and 12 in Lugbe (i.e., periurban centre) of the FCT (Table1). Within the urban and periurban areas, families with high number of tree species include Fabaceae, Moraceae, Euphorbiaceae, Combretaceae, Arecaceae, and Myrtaceae. A pooled total of 69 in Abuja city and 20 in Lugbe were identified within the FCT. Numbers of tree species were higher in the urban centre (Abuja city) than in the periurban area (Lugbe) (Table 1). The results of Student’st-test showed that both number of family and tree species were significantly higher in the urban area than the periurban area of the FCT. Based on the results of tree growth parameters, the trees in the urban area were larger than those in the periurban area. Results in Table 1 show that mean dbh (59.3 cm), basal area (51.03 m2), volume (752.8 m3), and maximum dbh (212.3 cm) of tree in Abuja city (urban area) were significantly higher than the values recorded for the corresponding parameters in Lugbe (periurban area). Also, the frequency of occurrence of individual trees in urban area of Abuja was significantly higher than that of the periurban centre of the city.Table 1
Summary result of biodiversity indices and growth parameters for tree species in urban and periurban areas of FCT.
Benefits derived Federal Capital Territory (FCT) Urban forest Periurban forest Number of individual trees 695a 213b Number of species 69a 20b Number of families 27a 12b Mean Dbh (cm) 59.3a 16.2b Basal area (m2) 51.03a 13.70b Maximum Dbh (cm) 212.3a 190.7b Volume (m3) 752.8a 191b Diversity index(H′) 3.56a 2.24b Max diversity(Hmax) 6.54a 5.36b Species evenness(EH) 0.54a 0.42a Values followed by similar letters are not significantly different(p>0.05).The results of Shannon-Wiener diversity index(H′) for the two centres are 3.56 and 2.24 while Shannon’s maximum diversity index (Hmax) is 6.54 (Abuja city) and 5.36 (Lugbe) for the urban (Abuja city) and periurban (Lugbe) areas of the Federal Capital Territory (FCT). The result of tree species evenness (Shannon’s equitability (EH) index) in urban and periurban centres was 0.54 and 0.42, respectively.The result also revealed that the species relative density (RD) for individual trees in the urban and periurban centres of the FCT ranged from 0.14 to 10.41% in Abuja city and from 0.47 to 33.80% Lugbe (Tables2 and 3). Tree species with high relative density (RD) in Lugbe wereGmelina arborea,Parkia biglobosa, andMangifera indica, accounting for 33.80%, 12.21%, and 9.39%, respectively, while in Abuja cityGmelina arborea(10.40%),Terminalia ivorensis(6.07%), andDelonix regia (5.35%) had high relative density. Species Relative Dominance (RDo) varied from 0.04 to 6.94% in Abuja city and from 0.15 to 20.85% in Lugbe. Within the urban areas (Abuja city), tree species with high Relative Dominance (RDo) wereSpathodea campanulata(6.94%),Nauclea latifolia(5.68%), andAzadirachta indica(5.60%) while, in the periurban areas (Lugbe) of the FCT,Azadirachta indica(20.85%),Ricinodendron heudelotii(16.77%), andNauclea diderrichii(10.59%) dominated. Tree species with high Importance Value Index wereGmelina arborea(5.82%),Azadirachta indica(3.96%), andKhaya senegalensis(3.74%) in Abuja city whileAzadirachta indica(14.18%),Parkia biglobosa(10.09%), andRicinodendron heudelotii (8.62%) were species with high importance in the floristic composition of Lugbe (Tables 2 and 3).Table 2
Biodiversity indices and growth parameters of individual trees in the urban areas (Abuja city) of the Federal Capital Territory, Nigeria.
S/N Tree species Family FQ MHt MDbh B.A Vol. RD RDO IVI 1 Adansonia digitata Bombacaceae 3 4.2 51.0 1.84 7.72 0.43 3.60 2.02 2 Albizia falcata Fabaceae 1 19.8 16.0 0.02 0.40 0.14 0.04 0.09 3 Albizia ferruginea Fabaceae 1 17.0 138.0 1.50 25.43 0.14 2.93 1.54 4 Alstonia boonei Apocynaceae 1 14.6 86.4 0.59 8.56 0.14 1.15 0.65 5 Anacardium occidentale Anacardiaceae 1 18.8 32.0 0.08 1.51 0.14 0.16 0.15 6 Anogeissus leiocarpa Combretaceae 2 17.1 84.1 2.22 37.96 0.29 4.35 2.32 7 Azadirachta indica Meliaceae 16 19.1 11.9 2.86 54.56 2.31 5.60 3.96 8 Bambusa vulgaris Poaceae 3 16.6 12.8 0.12 1.93 0.43 0.23 0.33 9 Bauhinia monandra Fabaceae 5 12.7 11.7 0.27 3.44 0.72 0.53 0.63 10 Bauhinia polyantha Leguminosae 1 18.5 105.0 0.87 16.02 0.14 1.70 0.92 11 Blighia sapida Sapindaceae 1 13.4 65.0 0.33 4.45 0.14 0.65 0.40 12 Bosqueia angolensis Moraceae 24 18.8 3.2 0.46 8.66 3.47 0.90 2.19 13 Caesalpinia pulcherrima Fabaceae 3 11.7 6.0 0.03 0.30 0.43 0.05 0.24 14 Calliandra calothyrsus Leguminosae 7 8.6 8.3 0.26 2.26 1.01 0.52 0.76 15 Callitris intratropica Cupressaceae 1 16.8 112.0 0.99 16.55 0.14 1.93 1.04 16 Cassia pleurocarpa Caesalpiniaceae 7 8.4 4.6 0.08 0.69 1.01 0.16 0.59 17 Casuarina equisetifolia Casuarinaceae 11 10.8 6.6 0.41 4.41 1.59 0.80 1.19 18 Ceiba pentandra Bombacaceae 6 9.5 21.6 1.31 12.48 0.87 2.57 1.72 19 Citrus aurantifolia Rutaceae 9 14.2 7.9 0.39 5.61 1.30 0.77 1.04 20 Cleistopholis patens Annonaceae 5 15.6 17.4 0.59 9.27 0.72 1.17 0.94 21 Cocos nucifera Arecaceae 11 8.4 5.3 0.26 2.22 1.59 0.52 1.05 22 Cola gigantean Malvaceae 1 15.8 109.0 0.93 14.75 0.14 1.83 0.99 23 Corymbia citriodora Myrtaceae 1 13.4 36.0 0.10 1.36 0.14 0.20 0.17 24 Dacryodes edulis Burseraceae 1 12.6 74.8 0.44 5.54 0.14 0.86 0.50 25 Daniellia oliveri Leguminosae 20 12.8 7.2 1.62 20.70 2.89 3.17 3.03 26 Delonix regia Fabaceae 37 14.2 1.2 0.17 2.38 5.35 0.33 2.84 27 Drypetisspp. Nymphalidae 4 15.0 23.1 0.67 10.06 0.58 1.31 0.95 28 Elaeis guineensis Arecaceae 1 14.2 47.8 0.18 2.55 0.14 0.35 0.25 29 Eucalyptus camaldulensis Myrtaceae 1 11.0 42.0 0.14 1.52 0.14 0.27 0.21 30 Eucalyptus citriodora Myrtaceae 32 17.6 4.3 1.46 25.65 4.62 2.86 3.74 31 Eucalyptus forrestiana Myrtaceae 10 11.0 4.2 0.14 1.50 1.45 0.27 0.86 32 Euphorbia dendroides Euphorbiaceae 1 8.0 52.0 0.21 1.70 0.14 0.42 0.28 33 Ficus goliath Moraceae 14 15.5 5.0 0.38 5.93 2.02 0.75 1.39 34 Gmelina arborea Verbenaceae 72 14.0 1.2 0.63 8.83 10.40 1.24 5.82 35 Hildegardia baterii Malvaceae 1 15.7 89.6 0.63 9.90 0.14 1.24 0.69 36 Hura crepitans Euphorbiaceae 8 11.6 10.8 0.58 6.74 1.16 1.14 1.15 37 Jatropha curcas Euphorbiaceae 1 4.0 16.0 0.02 0.08 0.14 0.04 0.09 38 Khaya senegalensis Meliaceae 32 17.6 4.3 1.46 25.65 4.62 2.86 3.74 39 Lophira alata Ochnaceae 1 15.2 115.0 1.04 15.79 0.14 2.04 1.09 40 Lophira procera Ochnaceae 3 12.3 15.4 0.17 2.07 0.43 0.33 0.38 41 Mangifera indica Anacardiaceae 20 11.1 2.1 0.13 1.48 2.89 0.26 1.58 42 Milicia excelsa Moraceae 2 19.6 57.5 1.04 20.36 0.29 2.04 1.16 43 Milicia regia Moraceae 1 14.4 90.1 0.64 9.18 0.14 1.25 0.70 44 Millettia thonningii Fabaceae 5 13.5 14.5 0.41 5.59 0.72 0.81 0.77 45 Morinda lucida Rubiaceae 1 14.8 68.8 0.37 5.50 0.14 0.73 0.44 46 Moringa oleifera Moringaceae 2 17.0 16.5 0.09 1.45 0.29 0.17 0.23 47 Nauclea diderrichii Rubiaceae 2 15.5 68.0 1.45 22.49 0.29 2.84 1.57 48 Nauclea latifolia Rubiaceae 2 14.3 96.1 2.90 41.45 0.29 5.68 2.99 49 Parkia biglobosa Fabaceae 26 16.3 4.5 1.09 17.80 3.76 2.14 2.95 50 Pueraria phaseoloides Leguminosae 1 13.5 132.0 1.37 18.48 0.14 2.68 1.41 51 Pinus caribaea Pinaceae 7 11.9 8.0 0.25 2.95 1.01 0.49 0.75 52 Pinus caribaea Pinaceae 6 7.1 14.7 0.61 4.36 0.87 1.20 1.04 53 Plumeria alba Apocynaceae 19 12.1 3.7 0.39 4.78 2.75 0.77 1.76 54 Polyalthia longifolia Annonaceae 31 13.2 2.5 0.48 6.32 4.48 0.94 2.71 55 Psidium guajava Myrtaceae 3 19.4 14.2 0.14 2.77 0.43 0.28 0.36 56 Ravenala madagascariensis Strelitziaceae 1 15.4 36.0 0.10 1.57 0.14 0.20 0.17 57 Ricinodendron heudelotii Euphorbiaceae 1 6.8 171.0 2.30 15.62 0.14 4.50 2.32 58 Roystonea dunlapiana Arecaceae 24 16.6 5.6 1.40 23.31 3.47 2.75 3.11 59 Roystonea regia Arecaceae 21 17.8 3.8 0.49 8.79 3.03 0.97 2.00 60 Senna siamea Fabaceae 6 21.2 14.8 0.62 13.13 0.87 1.21 1.04 61 Spathodea campanulata Bignoniaceae 1 22.2 212.3 3.54 78.60 0.14 6.94 3.54 62 Tectona grandis Lamiaceae 11 16.0 10.7 1.09 17.50 1.59 2.14 1.87 63 Terminalia catappa Combretaceae 37 7.9 0.7 0.05 0.37 5.35 0.09 2.72 64 Terminalia ivorensis Combretaceae 42 9.1 0.7 0.08 0.70 6.07 0.15 3.11 65 Terminalia macroptera Combretaceae 31 11.6 3.5 0.92 10.71 4.48 1.81 3.14 66 Terminalia superba Combretaceae 9 12.7 13.6 1.17 14.85 1.30 2.29 1.80 67 Treculia africana Moraceae 1 6.0 85.8 0.58 3.47 0.14 1.13 0.64 68 Vachellia nilotica Fabaceae 17 9.2 3.6 0.30 2.74 2.46 0.58 1.52 69 Vitex doniana Verbenaceae 2 16.4 42.5 0.57 9.31 0.29 1.11 0.70  692   51.02 752.75 FQ: number of tree stems in the city, B.A.: basal area of trees in the city, Vol.: volume of trees in the city.Table 3
Biodiversity indices and growth parameters of individual trees in the periurban areas (Abuja city) of the Federal Capital Territory, Nigeria.
S/N Tree species Family FQ MHt MDbh B.A Vol. RD RDO IVI 1 Albizia falcate Fabaceae 1 19.8 16.0 0.02 0.40 0.47 0.15 0.31 2 Azadirachta indica Meliaceae 16 19.1 11.9 2.86 54.56 7.51 20.85 14.18 3 Cleistopholis patens Annonaceae 5 15.6 17.4 0.59 9.27 2.35 4.34 3.34 4 Cocos nucifera Arecaceae 11 8.4 5.3 0.26 2.22 5.16 1.93 3.55 5 Delonix regia Fabaceae 17 14.2 2.7 0.17 2.38 7.98 1.22 4.60 6 Elaeis guineensis Arecaceae 1 14.2 47.8 0.18 2.55 0.47 1.31 0.89 7 Euphorbia dendroides Euphorbiaceae 1 8.0 52.0 0.21 1.70 0.47 1.55 1.01 8 Ficus goliath Moraceae 4 15.5 17.5 0.38 5.93 1.88 2.79 2.34 9 Gmelina arborea Verbenaceae 72 14.0 1.2 0.63 8.83 33.80 4.60 19.20 10 Hildegardia baterii Malvaceae 1 15.7 89.6 0.63 9.90 0.47 4.60 2.54 11 Jatropha curcas Euphorbiaceae 1 4.0 16.0 0.02 0.08 0.47 0.15 0.31 12 Mangifera indica Anacardiaceae 20 11.1 2.1 0.13 1.48 9.39 0.97 5.18 13 Nauclea diderrichii Rubiaceae 2 15.5 68.0 1.45 22.49 0.94 10.59 5.76 14 Parkia biglobosa Fabaceae 26 16.3 4.5 1.09 17.80 12.21 7.97 10.09 15 Ravenala madagascariensis Strelitziaceae 1 15.4 36.0 0.10 1.57 0.47 0.74 0.61 16 Ricinodendron heudelotii Euphorbiaceae 1 6.8 171.0 2.30 15.62 0.47 16.77 8.62 17 Senna siamea Fabaceae 6 21.2 14.8 0.62 13.13 2.82 4.52 3.67 18 Terminalia superba Combretaceae 9 12.7 13.6 1.17 14.85 4.23 8.53 6.38 19 Treculia Africana Moraceae 1 6.0 85.8 0.58 3.47 0.47 4.22 2.35 20 Vachellia nilotica Fabaceae 17 9.2 3.6 0.30 2.74 7.98 2.18 5.08  213   13.7 191.0 FQ: number of tree stems in the city, B.A.: basal area of trees in the city, Vol.: volume of trees in the city.


## 5.2. Benefits Derived from Urban Forests

Urban forest benefits are numerous, important, and beneficial to human livelihood, reduce health related problems, and contribute to the amelioration of both micro- and macroclimates. Table4 indicates that people are aware of the various benefits derived from urban forest. The majority of respondents (70%) in Lugbe (periurban area) and Abuja (urban area) opined that they derive fresh air from trees around them. A much higher percentage (85%) of respondents in the periurban area derived fuelwood for their cooking purposes from urban forest when compared to the 10% of respondents in urban area who indicated that they sourced fuelwood from urban forests. About 50% and 65% of the respondents in urban and periurban centres, respectively, derived edible fruits from trees around them. Between 40 and 50% of the respondents in urban and periurban centres of the FCT indicated that they derived vegetables from trees around them, which they used for their diet. High percentage (60 to 75%) of respondents in both urban and periurban centres use tree as windbreak to protect their buildings and other structures. The percentage of respondents who use trees for shade for the purpose of social gathering in both urban (Abuja; 60%) and periurban areas (Lugbe; 75%) is relatively high, which is similar to the percentage of those who use urban forest facilities for relaxation/garden/bar/joint purposes (70 to 60%) (Table 4). About 40% and 50% of the respondents in Abuja city and Lugbe, respectively, make use of different parts of trees around them for medicines for curing different diseases (Table 4).Table 4
Benefits derived by respondents (%) from urban and periurban forests in the Federal Capital Territory, Nigeria.
Benefits derived Abuja (FCT) Urban area(%)∗ Periurban area(%)∗ Medicine (herbs) 40 50 Relaxation/garden 70 60 Animal fodder 15 50 Fuel wood (cooking) 10 85 Shade (meetings) 65 70 Vegetable (soup) 50 40 Fresh air 70 70 Beautification 90 50 Edible fruits (food) 50 65 Windbreak 60 75 ∗Respondents were allowed to choose more than one option (i.e., multiple responses).


## 6. Relationship between Tree Growth Variables

Generally, there was positive and significant linear relationship between tree growth variables in both urban (Abuja city) and periurban (Lugbe) areas of the FCT (Tables5 and 6). The correlation coefficient ranged from 0.16 to 0.96 in the periurban area (Lugbe) and from 0.26 to 0.97 in the urban area (Abuja city). The highest correlation coefficient was obtained between logarithmic transformed basal area and logarithmic transformed volume for trees in Lugbe (periurban area), while it was between height and basal area as well between logarithmic transformed basal area and logarithmic transformed volume for trees in Abuja city (urban area). Very weak correlation was observed between height and basal area (0.16), height and diameter (0.18, 0.26), and diameter and basal area (0.29) for urban and periurban centres in the FCT.Table 5
Correlation coefficients for tree growth variables in periurban area (Lugbe).
Height Diameter Basal area (BA) Volume (Vol.) Ln BA Ln Vol. Height 1.00 Diameter .18 1.00 Basal area (BA) .16 .96 1.00 Volume (Vol.) .41 .86 .90 1.00 Ln BA .17 .93 .81 .71 1.00 Ln Vol. .44 .88 .76 .74 .96 1.00Table 6
Correlation coefficients for tree growth variables in urban area (FCT, Abuja).
Height Diameter Basal area (BA) Volume (Vol.) Ln BA Ln Vol. Height 1.00 Diameter .26 1.00 Basal area (BA) .97 .26 1.00 Volume (Vol.) .87 .47 .93 1.00 Ln BA .94 .25 .83 .73 1.00 Ln Vol. .91 .49 .80 .76 .96 1.00


## 7. Results of Thematic Map Production and Green Area Index of Federal Capital Territory

The thematic maps of the Federal Capita Territory (FCT) were produced from its satellite imagery using ArcGIS 10.3, which led to the generation of Normalized Difference Vegetation Index of the city for the years 2000 and 2015 (Figures1(a) and 1(b)). Apart from the boundary of each FCT, the locations visited for data collected and NDVI were shown in the maps. The boundary was digitized to determine the size of the FCT, which was georeferenced with the attribute data collected from the field. The maps produced in this research reflected the level of flexibility of GIS in creating, calculating, and manipulating different research data for production of different maps. Normalized Difference Vegetation Index (NDVI) values of the city were calculated in ArcGIS 10.3 environment to determine the level of greenness of the city. The NDVI value (0.327) for 2000 was relatively low but moderate. There was drastic reduction in the NDVI value (0.042) for 2015 which may be an indication of reduction and scattering in the vegetative cover of the FCT as a result of infrastructural development and population increase. The low value of NDVI in year 2015 has greater effects on the Land Surface Temperature (LST) and climate change of the city. The lower the NDVI value, the higher the LST, which tend to expose the city to more higher temperature and the climate change on the populace. Increase in NDVI value and reduction in LST value will create conducive environment for increase in tree diversity and green space coverage.Figure 1
(a) Normalized Difference Vegetation Index (NDVI) map for Abuja for the year 2000 and sampling locations. (b) Normalized Difference Vegetation Index (NDVI) map for Abuja for the year 2015 and sampling locations.
(a) (b)


## 8. Discussion

### 8.1. Biodiversity Indices and Tree Growth Yield Variables

Forest ecosystems are pivotal to the functioning and conserving of biosphere, as they are the origin of many plants and animals [27]. The urban forests include trees planted along streets, compounds, school gardens, parks, riverbanks, city cemeteries, city vacant lots, adjacent wood land, and anywhere else where trees grow in urban areas [28, 29]. Urban forests are among the in situ conservation methods that are essential in protecting and conserving tree species for the greatest benefits of the society. The results of this study confirmed that urban forest is a repository of many indigenous tropical hardwood and exotic tree species in different families, judging by the tree species richness of Abuja city, which is similar to or higher than what has been reported in some natural forest ecosystems in Nigeria [30–33]. For example, [30, 31] reported 31 and 51 trees species in tropical rainforest ecosystems of southwestern Nigeria. A total of 56, 55, and 54 tree species were found in Sapoba, Shasha, and Ala forest reserves in Nigeria, respectively [32, 33]. Thus, the large numbers of tree species that are found in tropical forests [30, 31] could also be said to be characteristics of urban forest landscapes. This similarity of tree species richness of urban centres and natural forest ecosystems underscores the importance of urban forests in biodiversity conservation and thus is evidence that urban forests can be both reservoirs and contributor to global biodiversity conservation.Biodiversity indices of urban and periurban forests are generated in order to appreciate the level of diversity and abundance of species in built-up environment. IIRS [34] noted that biodiversity indices are generated to bring the diversity and abundance of species in different habitats to similar scale for comparison and the higher the value, the greater the species richness.Konijnenddijk et al. [35] had noted that the levels of biodiversity in urban and periurban areas are often surprisingly high even when compared with forest trees diversity. The Shannon-Wiener diversity and Evenness indices of this study are higher than the values of Parthasarathy [36] and Yang et al. [37]. In another study, Duran et al. [38] obtained Shannon-Wiener diversity index range of between 2.69 and 3.33 which is within the range of the values reported for urban and periurban areas of FCT in this study. The Shannon-Wiener diversity index of Abuja city (i.e., urban area) in the study is within the range of the values reported for some natural tropical forest ecosystems [30, 31, 33] as well as the values obtained by Agbelade et al. [11] for urban forests in Ibadan, southwestern Nigeria. However, the Shannon-Wiener diversity index of Lugbe (i.e., periurban area) is lower than the values reported by the studies mentioned above. The implication of this is that urban centres have higher species diversity than periurban areas, which is further confirmed by the higher species richness in Abuja city (urban area) compared to that of Lugbe (periurban area).Though Alvey [39] reported that, traditionally, urban forest areas have been regarded as locations of low biodiversity that are dominated by nonnative species; evidence from this study as well as those from published information is mounting that urban and suburban areas can contain relatively high levels of biodiversity [40–42]. Contrary to the conclusion of Alvey [39], there are indications from the results of this study that urban and periurban forests have good store of both native and nonnative species. However, a higher percentage of the very common species are exotic species. Our results showed thatAzadirachta indica,Eucalyptus species,Acacia species, andGmelina arborea are the four most common species in Abuja, which is in agreement with the earlier study of Fuwape and Onyekwelu [2]. Three of these four most common species are exotic species. The tree planting and landscaping mechanism in Abuja may be responsible for the high level of tree species diversity encountered in it. The infrastructural development in Abuja city had low impact on the level of tree species diversity, which could be attributed to the careful planning, managing, and planting of trees. Thus it could be concluded that infrastructural development in Abuja city did not negatively affect the extent of biodiversity in it. This could imply that landscaping of the city was considered alongside with the infrastructural development. The spatial arrangement of trees as well as the choice and combination of tree species clearly distinguishes Abuja as a well-landscaped city. Nowak and Walton [43] noted that expanding urbanization increases the importance of urban forests in terms of their extent and the critical ecosystem services they provide to sustain human health and environmental quality in and around urban areas. In Guangzhou city, China, Jim and Liu [44] found over 250 plant species after surveying over 115,000 plants in the parks on university grounds and along streets. This affirmed that there are relatively high numbers of stems found in urban centre, which could be higher than the number in conservation centres. Araújo [45] also asserted that human actions directly or indirectly increase the total number of species through introduced species and increase in landscape heterogeneity.


### 8.2. Benefits Derived from Urban and Periurban Forests

Tree species encountered in urban and periurban centres of the Federal Capital Territory, Abuja, are used for food (e.g., edible fruits/seeds, vegetables), nutrition supplement, medicinal substances, fuelwood, and animal fodder. Onyekwelu and Olaniyi [10] had observed that urban forestry practices improve food security of poor urban inhabitants through collection of wild edible plants as vegetable, planting of low-care fruit bearing trees, including a gardening component, in multifunctional parks, or creating edible public parks. There are environmental benefits derived from urban forest such as purification of air (fresh air) wind break, provision of shade, beautification, relaxation parks, and gardens. Fuelwood, animal fodder, and edible fruits are among urban forest products sold for income generation. The higher percentage of respondents who collected fuelwood and animal fodder in Lugbe (periurban centres) compared to Abuja city (urban centre) could be compared. This could be an indication that higher percentage of periurban residents is more interested in income generation from urban forests. Income generation from urban and periurban forest products in Akure, Nigeria, ranged from $30 to $150 [10, 46], which could further attest economic viability of urban forests in developing countries. Parks and recreation centres employ people as service men and women; thus the livelihood of these people depends on the income from these parks and recreation centres. Recreational centres differ from one another because of their relatively small size and type of use with relative amount of income generation for the people and government [10]. Recreation centres are suitable places for causal meetings, lunch outing, association meeting, family relaxation, business meetings, and holiday relaxation. Fuwape and Onyekwelu [2] observed that parks and recreation centres in cities across West Africa serve as small businesses centres, community meeting, religious worship centres, and shades for groves in some urban and periurban centres.


### 8.3. Green Index Mapping Using Normalized Difference Vegetation Index (NDVI)

The low value of Normalized Difference Vegetation Index (NDVI) generated for Abuja proved that the vegetation coverage is scattered around the cities. In urban area, green spaces play important role in the quality of life and healthy nature of the ecosystem, which will improve the healthy nature of communities. The Federal Capital Territory (FCT) NDVI value indicated the presence of shrubs and scattered trees around the city. Xu et al. [47] and Miguel-Anyanz and Biging [48] opined that NDVI values of 0.1 to −0.1 represent degraded land; moderate values of 0.2 to 0.3 represent shrubs and grass land while 0.6 to 0.8 represent tropical forest land with vegetation coverage. Gillies and Carlson [49] reported that vegetation coverage has different impacts on recreation potential and microclimate of the environment, as well as improving the socioeconomic values of green spaces. Normalized Difference Vegetation Index (NDVI) is important parameter for the determinant of urban and periurban climate change and the Land Surface Temperature (LST), which relate the temperature generation and the cooling system of the vegetation coverage [50]. High level of tree species richness will enhance healthy vegetation coverage and reduces temperature of the atmosphere through evapotranspiration processes in green vegetation, which would be achieved if the high tree species richness in Abuja city is both maintained and improved. There is also need to substantially improve the vegetation cover of Lugbe, which is expected to contribute to reducing the usual high seasonal temperature. Miller [51] and Türk and Hastaoğlu [52] reported that areas where Land Surface Temperature (LST) is low, the Normalized Difference Vegetation Index (NDVI) values measurement are usually high which a sign of healthy vegetation coverage of the city. This can as well translate to healthy environment with healthy humans and other animals; it can also increase economic values of households.


## 8.1. Biodiversity Indices and Tree Growth Yield Variables

Forest ecosystems are pivotal to the functioning and conserving of biosphere, as they are the origin of many plants and animals [27]. The urban forests include trees planted along streets, compounds, school gardens, parks, riverbanks, city cemeteries, city vacant lots, adjacent wood land, and anywhere else where trees grow in urban areas [28, 29]. Urban forests are among the in situ conservation methods that are essential in protecting and conserving tree species for the greatest benefits of the society. The results of this study confirmed that urban forest is a repository of many indigenous tropical hardwood and exotic tree species in different families, judging by the tree species richness of Abuja city, which is similar to or higher than what has been reported in some natural forest ecosystems in Nigeria [30–33]. For example, [30, 31] reported 31 and 51 trees species in tropical rainforest ecosystems of southwestern Nigeria. A total of 56, 55, and 54 tree species were found in Sapoba, Shasha, and Ala forest reserves in Nigeria, respectively [32, 33]. Thus, the large numbers of tree species that are found in tropical forests [30, 31] could also be said to be characteristics of urban forest landscapes. This similarity of tree species richness of urban centres and natural forest ecosystems underscores the importance of urban forests in biodiversity conservation and thus is evidence that urban forests can be both reservoirs and contributor to global biodiversity conservation.Biodiversity indices of urban and periurban forests are generated in order to appreciate the level of diversity and abundance of species in built-up environment. IIRS [34] noted that biodiversity indices are generated to bring the diversity and abundance of species in different habitats to similar scale for comparison and the higher the value, the greater the species richness.Konijnenddijk et al. [35] had noted that the levels of biodiversity in urban and periurban areas are often surprisingly high even when compared with forest trees diversity. The Shannon-Wiener diversity and Evenness indices of this study are higher than the values of Parthasarathy [36] and Yang et al. [37]. In another study, Duran et al. [38] obtained Shannon-Wiener diversity index range of between 2.69 and 3.33 which is within the range of the values reported for urban and periurban areas of FCT in this study. The Shannon-Wiener diversity index of Abuja city (i.e., urban area) in the study is within the range of the values reported for some natural tropical forest ecosystems [30, 31, 33] as well as the values obtained by Agbelade et al. [11] for urban forests in Ibadan, southwestern Nigeria. However, the Shannon-Wiener diversity index of Lugbe (i.e., periurban area) is lower than the values reported by the studies mentioned above. The implication of this is that urban centres have higher species diversity than periurban areas, which is further confirmed by the higher species richness in Abuja city (urban area) compared to that of Lugbe (periurban area).Though Alvey [39] reported that, traditionally, urban forest areas have been regarded as locations of low biodiversity that are dominated by nonnative species; evidence from this study as well as those from published information is mounting that urban and suburban areas can contain relatively high levels of biodiversity [40–42]. Contrary to the conclusion of Alvey [39], there are indications from the results of this study that urban and periurban forests have good store of both native and nonnative species. However, a higher percentage of the very common species are exotic species. Our results showed thatAzadirachta indica,Eucalyptus species,Acacia species, andGmelina arborea are the four most common species in Abuja, which is in agreement with the earlier study of Fuwape and Onyekwelu [2]. Three of these four most common species are exotic species. The tree planting and landscaping mechanism in Abuja may be responsible for the high level of tree species diversity encountered in it. The infrastructural development in Abuja city had low impact on the level of tree species diversity, which could be attributed to the careful planning, managing, and planting of trees. Thus it could be concluded that infrastructural development in Abuja city did not negatively affect the extent of biodiversity in it. This could imply that landscaping of the city was considered alongside with the infrastructural development. The spatial arrangement of trees as well as the choice and combination of tree species clearly distinguishes Abuja as a well-landscaped city. Nowak and Walton [43] noted that expanding urbanization increases the importance of urban forests in terms of their extent and the critical ecosystem services they provide to sustain human health and environmental quality in and around urban areas. In Guangzhou city, China, Jim and Liu [44] found over 250 plant species after surveying over 115,000 plants in the parks on university grounds and along streets. This affirmed that there are relatively high numbers of stems found in urban centre, which could be higher than the number in conservation centres. Araújo [45] also asserted that human actions directly or indirectly increase the total number of species through introduced species and increase in landscape heterogeneity.


## 8.2. Benefits Derived from Urban and Periurban Forests

Tree species encountered in urban and periurban centres of the Federal Capital Territory, Abuja, are used for food (e.g., edible fruits/seeds, vegetables), nutrition supplement, medicinal substances, fuelwood, and animal fodder. Onyekwelu and Olaniyi [10] had observed that urban forestry practices improve food security of poor urban inhabitants through collection of wild edible plants as vegetable, planting of low-care fruit bearing trees, including a gardening component, in multifunctional parks, or creating edible public parks. There are environmental benefits derived from urban forest such as purification of air (fresh air) wind break, provision of shade, beautification, relaxation parks, and gardens. Fuelwood, animal fodder, and edible fruits are among urban forest products sold for income generation. The higher percentage of respondents who collected fuelwood and animal fodder in Lugbe (periurban centres) compared to Abuja city (urban centre) could be compared. This could be an indication that higher percentage of periurban residents is more interested in income generation from urban forests. Income generation from urban and periurban forest products in Akure, Nigeria, ranged from $30 to $150 [10, 46], which could further attest economic viability of urban forests in developing countries. Parks and recreation centres employ people as service men and women; thus the livelihood of these people depends on the income from these parks and recreation centres. Recreational centres differ from one another because of their relatively small size and type of use with relative amount of income generation for the people and government [10]. Recreation centres are suitable places for causal meetings, lunch outing, association meeting, family relaxation, business meetings, and holiday relaxation. Fuwape and Onyekwelu [2] observed that parks and recreation centres in cities across West Africa serve as small businesses centres, community meeting, religious worship centres, and shades for groves in some urban and periurban centres.


## 8.3. Green Index Mapping Using Normalized Difference Vegetation Index (NDVI)

The low value of Normalized Difference Vegetation Index (NDVI) generated for Abuja proved that the vegetation coverage is scattered around the cities. In urban area, green spaces play important role in the quality of life and healthy nature of the ecosystem, which will improve the healthy nature of communities. The Federal Capital Territory (FCT) NDVI value indicated the presence of shrubs and scattered trees around the city. Xu et al. [47] and Miguel-Anyanz and Biging [48] opined that NDVI values of 0.1 to −0.1 represent degraded land; moderate values of 0.2 to 0.3 represent shrubs and grass land while 0.6 to 0.8 represent tropical forest land with vegetation coverage. Gillies and Carlson [49] reported that vegetation coverage has different impacts on recreation potential and microclimate of the environment, as well as improving the socioeconomic values of green spaces. Normalized Difference Vegetation Index (NDVI) is important parameter for the determinant of urban and periurban climate change and the Land Surface Temperature (LST), which relate the temperature generation and the cooling system of the vegetation coverage [50]. High level of tree species richness will enhance healthy vegetation coverage and reduces temperature of the atmosphere through evapotranspiration processes in green vegetation, which would be achieved if the high tree species richness in Abuja city is both maintained and improved. There is also need to substantially improve the vegetation cover of Lugbe, which is expected to contribute to reducing the usual high seasonal temperature. Miller [51] and Türk and Hastaoğlu [52] reported that areas where Land Surface Temperature (LST) is low, the Normalized Difference Vegetation Index (NDVI) values measurement are usually high which a sign of healthy vegetation coverage of the city. This can as well translate to healthy environment with healthy humans and other animals; it can also increase economic values of households.


## 9. Conclusion and Recommendation

The result of this research has provided baseline information on urban and periurban forests in the Federal Capital Territory (FCT) of Nigeria (Abuja), which can be used for the development of tree species database of the territory. The potentials of urban and periurban forests in conserving biodiversity and providing essential products and services towards environmental management, economic empowerment, and social services to the society were revealed. Different goods (edible fruits/seeds, vegetables, fuelwood, herbs, animal fodder, etc.) and services (parks, windbreak, pollution reduction, beautification, etc.) were provided by urban forests in the FCT. The sale of tree products provided much needed income, especially for periurban inhabitants.This similarity of tree species richness of Abuja city (urban centre) and some natural forests confirms and underscores the importance of urban forests in biodiversity conservation; it is evidence that urban forests can be reservoirs and contributor to biodiversity conservation. The urban centre (Abuja city) had higher tree species richness and diversity than the periurban areas (Lugbe). The high species richness and diversity in Abuja city, despite its high infrastructural development, showed that infrastructural development in the city did not negatively affect its biodiversity conservation potential. The spatial arrangement of trees as well as the choice and combination of tree species shows that Abuja is a well-landscaped city. The maintenance and improvement of the high tree species richness and diversity in Abuja city will enhance healthy vegetation coverage and reduce temperature. There is need to substantially improve the vegetation cover of Lugbe in order to reduce its usually high seasonal temperature.Forestry extension services should do more in educating the people on the benefits, importance, and contributions of urban forest to the environment and the people. It is important for government at all levels to be involved in planting trees in urban areas and create measures for the development of urban forests. Therefore, during the process of construction, expansion and infrastructure development attention should be paid to conserving trees rather than cutting them down.



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