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Comparative analysis of floristic richness and diversity in six central forest reserves of north eastern Uganda

Abstract

As the extinction risk of plants increases globally, there is need to prioritize areas with high floristic richness and diversity to inform the design of evidence-based conservation interventions. As such, this study aimed to comparatively analyse floristic diversity in six central forest reserves (CFR) of north eastern Uganda. This was guided by two objectives namely; (i) to determine the floristic richness and diversity in the CFRs and (ii) to evaluate the similarity and complementarity of floristic composition. Data was collected from nested quadrats (20 × 20 m for trees, 10 × 10 m for shrubs and 5 × 5 m for herbaceous climbers, forbs and grasses) placed at intervals of 100 m along a transect of 1000 – 1500 m. Species richness, diversity and evenness were determined for each CFR. Binary similarity coefficients were computed because only presence/absence data of plant species was recorded. A sum of 417 plant species in 76 families were recorded representing 8.7% of known vascular plants reported in Uganda. The CFRs have significantly variable Shannon–Wiener diversity indices ranging from 4.2 in Kano CFR to 4.47 in Bululu hill CFR (t = 85.291, df = 4, p = 0.00). The CFRs cluster into two groups namely Onyurut and Ogera hills and Akur, Kano, Bululu hills and Mount Moroto. The lowest similarity index was between Ogera hills and Moumt Moroto CFRs (0.37 or 37%) while the highest was between Akur and Kano CFRs (0.63 or 63%). The CFRs complement one another by supporting plant species not recorded elsewhere with three CFRs (Bululu hills, Mount Moroto and Onyurut) accounting for 81.53% of the plant taxa. The CFRs in NE Uganda have richness and floristic diversity with up to 8.7% of the known plants in Uganda present. The conservation status of these species is Vulnerable (4), Near Threatened (4), Least Concern (137), Data Deficient (1) and Not Evaluated (271). The two similarity clusters depict variation in altitudinal, proximity and climatic conditions. Five CFRs are required to conserve 95% of the species recorded. Therefore, the CFRs investigated play a complementary role in conserving the floristic diversity in north eastern Uganda.

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Introduction

Biodiversity is crucial for ecosystem functioning and human well-being [50] as nearly 1.5 billion people globally directly depend on tropical forests for food, timber, medicines, and other important ecosystem functions and services [25]. The recognition of this importance is manifested in the international commitments such as the Convention on Biodiversity (CBD), associated Aichi Biodiversity Targets to halt its decline [8] and the Kumming-Montreal global biodiversity framework [19]. Notably, there is growing interest among scientists, policy makers, land managers, and the general public to understand the patterns and causes of biodiversity loss across space and time [51]. The origin of this interest is twofold; first the desire to conserve biodiversity and secondly; the potential for biodiversity changes to have an impact on the benefits that people derive from nature [28].

Globally, 2 in 5 (or 39%) of the world’s vascular plant species are threatened with extinction [35]. Thus, understanding the patterns of distribution [43], and identification of areas with a high value for biodiversity protection is paramount [16]. The warm mixed forest, savannahs, shrub, tropical forest, and tropical woodlands are projected to lose the most species [50] mainly due to anthropogenic activities which endanger the ecosystems [27]. These activities include habitat loss, introduction of alien species, direct exploitation, climate change and pollution [17, 42].

Floristic composition and its distribution remains scarcely known in the species-rich tropical Africa [43]. The lack of suitable data for prioritising conservation actions often hampers conservation efforts. Information on the rarest and most threatened plants and habitats, is often diffuse and difficult to access or is outdated [11]. Floristic diversity within communities (alpha diversity) and between communities or the degree of community differentiation (beta diversity) [55] can guide resource managers to prioritize conservation strategies since sites with exceptional or poor diversity [40] are known. Additionally, it can aid in the evaluation of the relative importance of environmental and spatial drivers in shaping species assemblages [49].

Uganda is exceptionally rich in biodiversity with surveys reporting occurrence of over 18,783 species of flora and fauna [34]. There are approximately 4,800 species of higher plants in Uganda, of which 70 are endemic and mainly concentrated in tropical forests in the western region. Further, Uganda has a high number of species relative to its size due to the varied habitats, altitude and location at the confluence of six of White's Phytochoria [20, 54]. However, the rate of biodiversity loss was calculated in 2004 to be around 10–11% per decade or 1% per annum [39]. The main drivers of this loss are habitat loss, agricultural encroachment and expansion, climate change effects, over-harvesting of resources, diseases, pollution, introduction of alien species, demographic factors, poverty and national policies [34].

In recognition of the role of biodiversity in development, the Government of Uganda has made significant progress in putting in place policies, laws and institutional frameworks on the conservation of biodiversity. The key national policy framework is the National Environment Policy (1994) from which sectoral policies such as wildlife policy (1999), Forestry policy (2001) among others are anchored. The National Environment Act Cap 153 provides the overall management, coordination and monitoring of environment management and conservation. There are also sectoral legislations such as the Forestry and Tree Planting Act (2003), Wildlife Act (2000). Uganda is also a signatory to international conventions, protocols and agreements such as Convention on Biological Diversity (CBD) [7], Convention on International Trade in Endangered Species of Fauna and Flora (CITES) (1973); African Convention on Conservation of Conservation of Nature and Natural Resources (1968) and regional frameworks such as the East African Community Protocol on Environment and Natural Resources Management.

North eastern Uganda located in the western range of the Somali-Masai Regional Centre of Endemism [14, 54] has not been adequately surveyed due to a prolonged history of insecurity caused mainly by cattle rustlers [20]. As such, the available floristic information in most sites comprises of plant lists for trees and shrubs which were recorded by the Forest Department in 1990’s as indicator taxa for selected large CFRs [12]. In small size CFRs (such as Ogera hills, Bululu and Onyurut investigated in this study), there is no record of botanical surveys carried out. Additionally, the study focused on CFRs which are classified by the National Forestry Authority (2005) to be of environmental and biodiversity conservation within this region. The general objective of the study was to contribute to evidence-based conservation of plant diversity in north eastern Uganda with three specific objectives were; (1) to determine the botanical richness and diversity in the six central forest reserves of north eastern Uganda, (ii) to analyse the similarity and complementarity of these CFRs in floristic conservation and (iii) to ascertain the conservation status of plant species within these CFRs. The information generated on species diversity is a pre-requisite for gauging ecosystems health, resilience to disturbance, spatio-temporal monitoring of changes in biodiversity, and prioritization of sites in resource allocation.

Materials and methods

Study area

The study was conducted in six CFRs located in north eastern Uganda (Fig. 1) in the western range of the Somali-Masai Regional Centre of Endemism [14, 54]. Uganda has 506 CFRs totaling to 1,262,090 ha of the land cover. These are managed by the central government through the National Forestry Authority (NFA). The region region has been poorly surveyed due to prolonged insecurity caused by the armed cattle rustlers [20]. Indeed, two CFRs namely Mount Napak and Mount Kadam were omitted during floristic surveys due to reports of insecurity. With the exception of Onyurut, all the CFRs studied are located on either hills or mountains and with variable sizes.

Fig. 1
figure 1

Location of forest reserves in north eastern Uganda

Onyurut CFR covers 158 ha and is located in Katakwi district within 1°47′19"N 33°57′12"E to 1°46′46"N 33°56′21"E Its vegetation is predominantly dominated by Combretum adenogonium, C. molle, Acacia brevispica and Zanthoxylum leprieurii with patches of grassland dominated by Brachiarria decumbens, Hyparrhenia filipenduda and Hyparrhenia dissoluta species. The geology of the area is comprised of Precambrian age basement complex rock of granites, mignalites, gneiss, schists and quartzites with mainly of ferralitic soils (sandy sediments and sandy loam). The climate is characterized by two seasons: a wet season during March – October and a dry season during November – February. The mean annual rainfall varies from 1000 mm – 1500 mm [46]). The CFR is used by adjacent communities for small scale subsistence farming and settlement, brick making, charcoal production, and cattle grazing. It's a catchment for L. Bisina. It also acts as a windbreak for Toroma trading center and Katakwi Township on the eastern part. It supplies forest products to the communities around L. Bisina and also provides habitat for wildlife (FSC 2018).

Mount Moroto CFR is located in Moroto district within 2024' to 2042' North and 34039' to 34056' East [12]. It covers 48,300 ha which is predominantly a dormant volcano with an altitudinal range of 960–3084 m. The reserve is perched on the top of the escarpment of the Eastern Rift, directly behind and to the east of the town of Moroto, and its eastern boundaries are also those of the Ugandan border with Kenya. Much of the site is dominated by Afromontane undifferentiated forest, a drier montane forest type characterised by valuable timber trees Podocarpus milanjianus, Afrocarpus (Podocarpus) gracilior, and Juniperus procera ([12, 24]). The area experiences a semi-arid type of climate with sporadic uni-modal rainfall patterns occurring between May and August and an intensely hot, dry season occurring from November to March [2]. Rainfall in the area ranges from 350 to 1000 mm per annum and is available in time and space [31]. Significant areas of the reserve, particularly at lower altitudes in the north and south, have been transformed by farming of crops.

Kano CFR (8,293 ha) is located in Labwor hills in Abim district within 2°40′55"N 33°38′48"E to 2°41′12"N 33°37′14"E. Its vegetation is broadly classified as dry Combretum-Oxytenanthera-Hyparrhenia savanna woodland [12]. It is a key site for biodiversity conservation, hill reserve, and protects River Amal which serves the communities of Kano and Abim parishes [33]. It is composed of remnant hills (inselbergs) formed by weathering and erosion of the surface, leaving behind hard resistant granitic rocks which stand prominently high above the earth’s surface. The soils are mainly ferralitic, vertiso and ferruginous tropical soils, with lesser types including lithosols [45]. This CFR receives a wet and dry woodland savannah climate characterized by an intensively hot dry season lasting from December to February with strong winds and a rainy season from March to November, with a dry spell in June and/or July. Rainfall is about 1350 mm per annum, fairly evenly distributed, except in the eastern belt which has lower rainfall. The daily temperatures range from 20 °C to 35 °C and relative humidity can reach 60% during the rainy season [45]. The reserve is faced with various human activities such as collection of Non Timber Forest Products (NTFPs) like Oxytenanthera abyssinica (bamboo), wild edible fruits and vegetables; stone quarrying, charcoal production and firewood collection, bush burning, human settlement and cultivation, illegal timber harvesting, and collection of construction materials.

Akur CFR is also located within the Labwor hills of Abim district within 2°41′11"N 33°42′13"E to 2°41′08"N 33°40′15"E and covers 6,434 ha. The soils and climatic conditions in this CFR are similar to those of Kano CFR on the account of their close proximity of less than 2km. It is a critical site for biodiversity conservation, hill reserve and River Ojulu originates from it [33]. In Akur CFR, the hills are not sufficiently high (1200 m above sea level) to cause much differentiation of the vegetation on account of increasing altitude [33]. Its vegetation is broadly classified as dry Combretum-Oxytenanthera-Hyparrhenia savanna woodland [12]. The most important factor limiting the vegetation is most probably soil depth and its associated character of soil moisture [33]. The thickest tree growth is found on the deep alluvial soils along the lines of the valleys near the hills; further from the hills, the riparian forest thins out into grass ‘vlei’ with scattered trees. Higher up on the hills, there is usually less soil and the strips of riverine forest are correspondingly narrow, but larger trees occur in the open savanna than on the lower slopes.

Ogera hills CFR is located in Serere district within 1°34′01"N 33°16′50"E to 1°36′19"N 33°16′45"E an altitudinal range of 1036–1160 m [32]. It covers 427 ha and the vegetation is mainly comprised of high grass and low tree bushes. The trees are mainly combretaceous and are sometimes stunted in form with species such as Combretum molle, C. collinum, C. adenogonium and the grass Loudetia arundinceum mostly on hill slopes. In some parts, tree growth is dense with a tangle of creepers and bushes while some areas with illegal activities like charcoal burning have low tree cover. It is underlain by rocks of the basement complex Precambrian age that include granites, mignalites, gneiss, schists and quartzites. The soils fall mainly under four major units; Serere catena; Metu complex series. These are mainly of the ferralitic type (sandy sediments and sandy loams), and bottomlands contain widespread deposits of alluvium, pierced by isolated inselbergs. The climate is modified by the large swamp area surrounding Lake Kyoga. Rainfall normally ranges from 1000 to 1500 mm coming in two seasons namely March–July and September – November [47]. The CFR protects steep & rocky hills (FSC 2018) and serves as a water catchment area for Lake Kyoga.

Bululu hills CFR covers 425 ha and lies on the shores of Lake Kyoga between 1°38′21"N 33°15′38"E and 1°38′55"N 33°15′22"E within an altitudinal range of 1030 – 1080 m. It protects lake Kyoga and its slopes are swamps or/wetlands for fish breeding (FSC, 2018). Its vegetation is characterized by Euphorbia candelabrum, Harrisonia abyssinica, Terminalia schimperiana, Combretum collinum with Cyperus papyrus and Phragmites mauritianum on the lake shores. The climate of Kaberamaido District is marked by wet and dry seasons modified by the large swamp area surrounding it. The mean annual rainfall normally ranges from 1,000 mm to 1,500 mm spread over two rainy seasons; March – July and September – November. Rainfall is at its minimum in June, and with bimodal maxima in April—May and August – October. The area is underlain by rocks of the basement complex of precambrian age that include granites, mignalites, gneiss, schists and quartzites. The landscape is a flat plateau with a few scattered rock outcroppings with mostly sandy loam soils of ferralitic type and alluvium in the bottomlands [48]. This reserve is used to provide trees for charcoal production, livestock (cattle) grazing, human settlement and cultivation which culminate to soil erosion on the slopes.

Data collection

The study used the gradient oriented transect (gradsect) sampling technique [1] to establish transect lines in each CFR. This ensures that the environmental diversity is adequately represented amidst budget, time and staff constraints. There is a strong evidence that gradsects are superior in capturing information about vegetation diversity than randomly placed transects of similar length [15]. In this study, the gradients considered were topography (bottom-middle-top slope), drainage patterns namely rivers and alignment to the direction of the sun (aspect).

The plant data was collected from nested quadrats (20 × 20 m for trees, 10 × 10 m for shrubs and 5 × 5 m for herbaceous climbers, forbs and grasses) which were placed systematically along the line transects (1000 1500m) at intervals of 100 m. Any woody plant with a straight trunk of at least 2 m which supports branches was regarded as a tree while a shrub was any woody plant with multiple branches usually growing to a height of 3m. The line transects were spaced at an interval of 1000 m from each other. The use of quadrats in vegetation studies makes it easy to standardize data and facilitates comparative analysis [10]. The nested quadrats capture spatial patterns and heterogeneity simultaneously [4]. The plant parameters measured in each quadrat were species identity and number of individuals present or cover in the case of herbaceous plants. The identity of trees and shrubs were identified by their local names following the local guides [22, 23] while the grasses were identified following Phillips et al. [38]. The voucher specimens of all the plants encountered were collected and pressed for confirmatory taxonomic determination at Makerere University Herbarium. The adequacy of the sampling effort in each CFR was assessed using the species accumulation curves while in the field (Fig. 2) and percentage increase in species richness with cumulative plots (Table 1).

Fig. 2
figure 2

Species accumulation curves in selected central forest reserves of north eastern Uganda

Table 1 Percentage increase of species richness in the CFRs of north eastern Uganda

The methods applied in this study were informed by the available literature on the most popular methods for reporting floristic information. These include species accumulation curves, rarefaction curves and the Shannon–Wiener indices (alpha diversity) and Sørensen, Jaccard or Bray–Curtis indices (beta diversity) [29]. In terms of comparing the species composition (biodiversity) of two or more assemblages, the similarity (or overlap) or dissimilarity (complementarity, turnover, beta diversity or distance) indices are often used [26]. These indices are classified into two categories namely; binary similarity coefficients when only presence/absence data are available and quantitative similarity coefficients when some measure of relative abundance is available [9]. The other important components of floristic assessment include species richness and diversity [40], population structure and distribution [5, 36].

Data analysis

The species richness, diversity and evenness were determined for each CFR using the Shannon-Index (H/) and Evenness (E) (Magurran 1988) in Vegan, R Statistical Package (version 4.0.3). A One-way ANOVA was used to test the difference in the actual species richness, Chao2 and Jackknife1 species estimators. The normality of data was tested using Shapiro–Wilk test prior to running ANOVA test. Further, an independent samples t-test was carried out to analyse the difference species richness and diversity indices among the CFRs. The Sørensen similarity index (Eq. 1) was used to assess the species similarity amongst CFRs because only presence data was recorded following Chao et al. [9]. Further, cluster analysis was performed on the presence data to compare the richness of plant species in the CFRs. The co-occurrence based clustering approach was applied whereby species were clustered based on their co-occurrence as opposed to traditional distance metrics. A table was also constructed to show the complementarity of the CFRs in form of accumulation of new species not recorded elsewhere following Howard et al. [18]. The conservation status of the plant species was obtained from IUCN Red List database and National Red list [30, 53].

$$\text{S}\phi \text{rensen Similarity index}= \frac{2\text{a}}{2\text{a}+\text{b}+\text{c}}$$
(1)

Where a = shared species

b = species in community 1

c = species in community 2

Results

Floristic richness and diversity

A sum of 417 species in 76 families were recorded in the CFRs of NE Uganda (Appendix 1). Fabaceae had the highest number of species (77) followed by Poaceae (35). The lowest actual species richness was recorded in Akur CFR (142) while the highest was in Bululu hills CFR (187) (Table 2). This species richness was significantly different across the CFRs (t = 24.482, df = 5, p = 0.0000212). In terms of richness estimators, Chao2 estimator values ranged from 136 in Mt. Moroto to 205 in Bululu hills. The Jackknife1 estimator values ranged from 144 in Mt. Moroto to 176 in Bululu hills (Table 2). The Shapiro–Wilk normality test showed that data was normally distributed. Thereafter, the one-way ANOVA showed no significant difference in the actual species richness, Chao2 and Jackknife1 estimated values (df = 2, F = 0.046, p > 0.956) for the sites. The majority of the species are native to Uganda (81.3%), the origin of 9.8% could not be established and 8.9% are introduced. On one hand, Chao2 under estimated species richness in Ogera hills and Mt. Moroto but overestimated in Akur, Bululu, Kano and Onyurut. On the other, Jackknife1 under estimated species richness in Bululu hills, Mt. Moroto and Onyurut but overestimated in Akur, Kano and Ogera (Table 2). Bululu hill CFR has the highest Shannon–Wiener diversity index (H/) of 4.47 followed by Onyurut at 4.43 while Akur and Kano (4.2) have the least (Table 3). These indices are significantly different (t = 85.291, df = 4, p = 0.00). All the CFRs have Equitability indices ranging from 0.83 to 0.86 (Table 3).

Table 2 Actual and estimated species richness in the CFRs of north eastern Uganda
Table 3 Shannon–Wiener diversity indices (H/) and Equitability of floristic diversity in the CFRs of north eastern Uganda

The species accumulation curves for each CFR (Fig. 2) were plotted as a function of the number of species detected and number of quadrats sampled. Bululu hills had the highest accumulation of species at less than 100 plots while Akur had the lowest (Table 1). The curve in Onyurut indicates that there was a possibility of adding new species with additional sampling effort just like in Akur and Ogera hills CFRs.

Floristic similarity across CFRs

The dendrogram on the relatedness of the CFRs in NE Uganda depicts two main clusters namely: Onyurut and Ogera hills; Akur, Kano, Bululu hills and Mt. Moroto (Fig. 3). However, the latter cluster is branched into two sub-clusters namely; Akur and Kano; and Bululu hills and Mount Moroto. The CFRs with the highest similarity in species were Kano and Akur (0.63 or 63%) followed by Ogera and Bululu hills (0.57 or 57%) and the least was Ogera hills and Mount Moroto (0.39 or 39%) (Table 4).

Fig. 3
figure 3

Cluster analysis of the six Central Forest reserves in north eastern Uganda. Key: 1 = Akur, 2 = Kano, 3 = Bululu hills, 4 = Mt. Moroto, 5 = Onyurut, 6 = Ogera hills

Table 4 Sørenson similarity indices for floristic richness in CFRs of NE Uganda

Complementarity analysis

Table 5 shows that the CFRs complement one another by hosting some plant species not recorded in others. It further shows that three CFRs (Bululu hills, Mt. Moroto and Onyurut) account for 81.53% of the plant taxa in the sites studied. The addition of the fourth CFR (Ogera hills) accommodates nearly 90% of the species recorded in this study. In order to account for more than 95% of the species, it would require five CFRs (Bululu hills, Mt. Moroto, Onyurut, Ogera hills and Akur) to be protected whereas a more complete protected-area system (accounting for 100% of species) would include all the CFRs surveyed.

Table 5 Complementarity table for the minimum critical set of CFRs in north eastern Uganda based on floristic richness

Conservation status of the plant taxa

The 417 species reported in this study (Appendix 1) belong to five IUCN Red list categories. These are summarized in Table 6. More than half of the species recorded (271) representing 65.0% have not been evaluated (NE). Amongst those that have been evaluated, Least Concern (LC) comprises the highest number (137 or 32.8%. The Vulnerable (VU) species (1.0%) are Albizia malacophylla, Vitex amanuensis, Entandrophragma cylindricum and Vitellaria paradoxa while the Near Threatened (NT) species (1.0%) are Albizia ferruginea, Dalbergia melanoxylon, Eucalyptus grandis and Milicia excelsa. The only Data deficient species recorded is Mangifera indica (0.2%) which is also cosmopolitan. In the national red lists [30, 53], the conservation status of some species previously assessed by the IUCN Redlists has been elevated. For example,E. cylindricum is Vulnerable according to global IUCN Red Lists but Endangered at a national level.

Table 6 IUCN Global Conservation Status of plant species in the CFRs of north eastern Uganda

Discussion

The CFRs have comparatively high floristic richness and diversity (Table 1) with the recorded species representing about 8.7% of the 4800 plant species known in Uganda [21]. The diversity indices within CFRs are above the threshold (2.0) for high diversity [26]. Similarly, the equitability values are close to 1 which is considered high and signifies fairly even representation of individuals from different species in the population [37]. Although the common range of Shannon Wiener diversity index is 1.5 – 3.5 are rarely exceeds 4.5 [3]. The high indices obtained in this study are reminiscent of the high richness of species and the near even distribution of individuals and the inclusion of larger plot sizes which ensure more species are captured.

The species accumulation curves (Fig. 2) denote that as the size of the sampling area increased, the number of species also increased but the occurrence of new species eventually decreased. Roswell et al. [41] refer to this reduction in addition of new species as an asymptote. In order to judge whether or not a sampling area is representative, Taherdoost [44] states that a representative sampling area is reached if the increase of number of species per unit area is below 10% with an additional 10% expansion of the sampling area. In Ogera hills, Bululu hills and Onyurut, the addition of new species reduced after sampling at least 120 plots possibly due to their small sizes. In the case of Mount Moroto CFR, up to 200 sampling plots were required to reach an asymptote because it is the largest CFR surveyed with heterogeneous habitats due to the altitudinal differentiation. These accumulation curves provide a rationale to formalize the ecological survey to allow more rigorous and quantitative comparisons between lists, provide a planning tool for collections expeditions and a predictive tool for the total number of species present in a given area [43].

The grouping of CFRs into clusters (Fig. 3) and similarity indices (Table 4) suggests a plausible influence of altitudinal differences whereby the CFRs in mountainous or hilly areas (Akur, Kano, Bululu hills and Mt. Moroto) being clustered together. The relationship between Onyurut and Ogera hills can be attributed to propagule exchange (Fig. 3). The numerous edaphic and microclimatic factors that diverge across different tropical forest types exert significant impacts on recruitment, growth, and survival, (Augspurger 1984, cited in [52]). A higher similarity index value, conversely, signifies relatively homogenous environmental conditions, while a lower value signifies pronounced variability (Ekta, 2012 cited in [52]). One part (Teso sub-region) receives a humid and hot climate with rainfall between 1000 and 1350 mm per annum while the other (Karamoja) has a drier and semi-arid climatic pattern with rainfall ranging from 500 to 800 mm per annum although the highlands receive slightly higher amounts [13].

The complementarity analysis in Table 3 shows that there is incremental gain of plant species conserved by adding new CFRs into the protected area network. The presence of unique species in each CFR highlights their ecological distinctiveness and emphasizes the importance of conserving both forest types [57]. According to Williams et al. [56], this incremental approach leads to identification of important areas for conservation that can add as much biodiversity as possible to a plan. Although Akur and Kano CFRs contribute only 10.55% of the species, Howard et al. [18] assert that it is better to protect the country’s biodiversity in a larger number of sites, if these are areas with potential for other uses and where protection would provide additional complementary benefits such as watershed protection.

The results in Table 3 also bring out the aspect of irreplaceability of sites in systematic conservation planning. In particular, it shows the number of species that can be lost due to site loss. For example, Bululu hills, Mount Moroto and Onyurut account for 81.53% of the plant species in the CFRs of north eastern Uganda. This information is helpful in determining priorities for conservation action (Pressey 1998 cited in [6]). The practical limitation of this approach arises when there are many alternative sets of sites that can meet targets, and many of these might be similarly efficient in terms of cost [6]. This however, can be overcome by setting a critical cut off point to facilitate decision making.

The conservation status of the plant taxa (Table 4) shows that all the CFRs have taxa of national and global conservation importance albeit in small numbers and low threat categories. In some species, the IUCN conservation assessment rates the extinction risk at low level compared to the national assessment [30, 53]. For instance, Albizia ferruginea is VU in the IUCN Global Red lists but EN in the national red list [53], Milicia excelsa is NT in the IUCN Global Red list while it is EN in WCS [53], Mondia whitei is NE in IUCN redlist but VU in WCS [53], and Entandrophragma cylindricum is VU in IUCN Global Red list but EN in WCS [53]. According to WCS [53], all the threatened species recorded in these CFRs also occur in other parts of Uganda. The DD species in Akur is (Mangifera indica),an introduced species which occurs widely outside the CFRs. According to the IUCN (https://www.iucnredlist.org/), a taxon is Data Deficient (DD) when there is inadequate information to make a direct, or indirect, assessment of its risk of extinction based on its distribution and/or population status. A taxon in this category may be well studied, and its biology well known, but appropriate data on abundance and/or distribution are lacking. The species in the NE category can be reduced if more effort and resources are directed towards investigation of their distribution and conducting conservation assessments. This will facilitate evidence-based conservation planning and management of the CFRs.

The information on threat levels is key in applying the Important Plant Areas (IPAs) sub-criterion A(i) for sites which contain one or more globally threatened species [11]. IPAs are the most important places in the world for wild plant and fungal diversity that can be protected and managed as specific sites. They provide a means for systematic and evidence-based identification of priority areas for plant species in order to promote the conservation and management of these sites. In light of this information, four CFRs namely Bululu hills, Mount Moroto, Kano and Akur would qualify to be IPAs because of presence of one or two VU species. At present, Mount Moroto CFR is already being profiled as an IPA under the Tropical Important Plant Areas (TIPAs) project between Makerere University and Royal Botanic Gardens, Kew (https://www.kew.org/science/our-science/projects/tropical-important-plant-areas-uganda).

Conclusion

The study findings show that botanical richness and diversity in the six CFRs in NE Uganda is comparatively high. Up to 417 plant species representing nearly 8.7 percent of the known taxa in Uganda have been recorded. The least floristic similarity is between Ogera hills CFR and Mount Moroto while the highest is between Akur and Kano CFRs which are proximally close to each other. The CFRs are complementary to each other in terms of floristic composition with four sites (Bululu hills, Mt. Moroto, Onyurut and Ogera hills) accounting for 90% of the species. Furthermore, four CFRs (Bululu hills, Mt. Moroto, Kano and Akur) contain Vulnerable species making them candidate IPA sites in Uganda. The baseline information on the floristic composition in the six CFRs of north eastern Uganda can be used for future monitoring of species composition, studying the population ecology (especially structure and regeneration) of the threatened species, environmental parameters that influence plant distribution patterns, developing species management plans to reduce the extinction risk of threatened species, and conducting conservation assessments of the species that are currently not evaluated.

Data availability

No datasets were generated or analysed during the current study.

References

  1. Austin MP, Heyligers PC. Vegetation survey design for conservation: gradsect sampling of forests in north-eastern New South Wales. Biol Cons. 1989;50(1–4):13–32.

    Article  Google Scholar 

  2. BakamaNume BB, editor. A contemporary geography of Uganda. African Books Collective; 2010. African Books Collective.

  3. Bibi F, Ali Z. Measurement of diversity indices of avian communities at Taunsa Barrage Wildlife Sanctuary, Pakistan. J Anim Plant Sci. 2013;23(2).

  4. Bonham CD. Measurements for terrestrial vegetation. New York: Wiley and Sons; 2013.

  5. Byakagaba P, Eilu G, Okullo JB, Tumwebaze SB, Mwavu EN. Population structure and regeneration status of Vitellaria paradoxa (CF Gaertn.) under different land management regimes in Uganda. Agric J. 2011;6(1):14–22.

    Article  Google Scholar 

  6. Carwardine J, Rochester WA, Richardson KS, Williams KJ, Pressey RL, Possingham HP. Conservation planning with irreplaceability: does the method matter? Biodivers Conserv. 2007;16:245–58.

    Article  Google Scholar 

  7. CBD. Convention on biological diversity. Treaty Collection. 1992.

    Google Scholar 

  8. CBD. Strategic plan for biodiversity 2011–2020, including Aichi biodiversity targets. Montreal: Secretariat of the Convention on Biological Diversity; 2011.

  9. Chao A, Chazdon RL, Colwell RK, Shen TJ. Abundance-based similarity indices and their estimation when there are unseen species in samples. Biometrics. 2006;62(2):361–71.

    Article  PubMed  Google Scholar 

  10. Cox, George W. Laboratory manual of general ecology. 6th ed. Dubuque: Willium C. Brown Publishers; 1990. p. 143.

  11. Darbyshire I, Anderson S, Asatryan A, Byfield A, Cheek M, Clubbe C, Ghrabi Z, Harris T, Heatubun CD, Kalema J, Magassouba S. Important Plant Areas: revised selection criteria for a global approach to plant conservation. Biodivers Conserv. 2017;26:1767–800.

    Article  Google Scholar 

  12. Davenport T, Howard P, Matthews R, editors. Mount Moroto, Kadam and Napak Forest Reserves: Biodiversity reports. Kampala: Forest Department; 1996.

  13. Egeru A. Role of indigenous knowledge in climate change adaptation: a case study of the Teso Sub-Region, Eastern Uganda. Indian J Tradit Knowl. 2012;112:217–24.

    Google Scholar 

  14. Eustace A, Esser LF, Mremi R, Malonza PK, Mwaya RT. Protected areas network is not adequate to protect a critically endangered East Africa Chelonian: Modelling distribution of pancake tortoise, Malacochersus tornieri under current and future climates. PLoS ONE. 2021;16(1):e0238669.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Gillison AN. Transects or Gradsects in. J Environ Manage. 1985;20:103–27.

    Google Scholar 

  16. Haq SM, Khoja AA, Lone FA, Waheed M, Bussmann RW, Mahmoud EA, Elansary HO. Floristic composition, life history traits and phytogeographic distribution of forest vegetation in the Western Himalaya. Front For Glob Change. 2023;2(6):1169085.

    Article  Google Scholar 

  17. Hilton-Taylor C, Brackett D. IUCN red list of threatened species. Gland, Switzerland: IUCN; 2000.

    Google Scholar 

  18. Howard PC, Davenport TR, Kigenyi FW, Viskanic P, Baltzer MC, Dickinson CJ, Lwanga J, Matthews RA, Mupada E. Protected area planning in the tropics: Uganda’s national system of forest nature reserves. Conserv Biol. 2000;14(3):858–75.

    Article  Google Scholar 

  19. Joly CA. The Kunming-Montréal global biodiversity framework. Biota Neotropica. 2022;22(04):e2022e001.

    Article  Google Scholar 

  20. Kalema J. Diversity and distribution of vascular plants in Uganda's wetland and dryland important bird areas. Doctoral dissertation, Ph. D. thesis. Kampala: Makerere University; 2005.

  21. Kalema J, Namaganda M, Bbosa G, Ogwal-Okeng J. Diversity and status of carnivorous plants in Uganda: Towards identification of sites most critical for their conservation. Biodivers Conserv. 2016;25:2035–53.

    Article  Google Scholar 

  22. Katende AB, Birnie A, Tengnas BO. Useful trees and shrubs for Uganda. Identification, propagation and management for agricultural and pastoral communities. Regional soil conservation unit (RSCU), Swedish International Development Authority (SIDA). 1995. p. 1–710.

    Google Scholar 

  23. Katende AB, Ssegawa P, Birnie A, Holding CH, Tengnäs B. Wild food plants and mushrooms of Uganda. Regional Land Management Unit, RELMA/Sida; 1999.

  24. Langdale-Brown I, Osmaston HA, Wilson JG. The vegetation of Uganda and its bearing on land-use. 1964.

    Google Scholar 

  25. Lewis SL, Edwards DP, Galbraith D. Increasing human dominance of tropical forests. Science. 2015;349(6250):827–32.

    Article  CAS  PubMed  Google Scholar 

  26. Magurran AE. Measuring biological diversity. Afr J Aquat Sci. 2004;29(2):285–6.

    Article  Google Scholar 

  27. Malhi Y, Gardner TA, Goldsmith GR, Silman MR, Zelazowski P. Tropical forests in the Anthropocene. Annu Rev Environ Resour. 2014;17(39):125–59.

    Article  Google Scholar 

  28. MEA. A Report of the Millennium Ecosystem Assessment. Ecosystems and Human Well-Being. Washington DC: Island Press; 2005.

    Google Scholar 

  29. Moreno CE, Calderón-Patrón JM, Martín-Regalado N, Martínez-Falcón AP, Ortega-Martínez IJ, Rios-Díaz CL, Rosas F. Measuring species diversity in the tropics: a review of methodological approaches and framework for future studies. Biotropica. 2018;50(6):929–41.

    Article  Google Scholar 

  30. MTWA. Red List of Threatened Species of Uganda 2018, Ministry of Wildlife, Tourism and Antiquities (MTWA) Kampala, Uganda. 2018. p. 110 https://uganda.wcs.org/publications.aspx.

    Google Scholar 

  31. Nalule AS. Social Management of Rangelands and Settlement in Karamoja Subregion. Food and Agriculture Organization (FAO). 2010.

  32. National Forestry Authority. Forest Management Plan for Namatale Central Forest Reserves Management Plan Area (2012–2022). Kampala: National Forestry Authority; 2012.

    Google Scholar 

  33. National Forestry Authority. Managing Central Forest Reserves for the people of Uganda: Functions of Central Forest Reserves. Kampala: National Forestry Authority; 2008.

    Google Scholar 

  34. NEMA. National Biodiversity Strategy and Action Plan II (2015-2025). Kampala: National Environment Management Authority (NEMA); 2016. https://nema.go.ug/sites/all/themes/nema/docs/NBSAP%20Uganda%202015%20-%20Re-designed.pdf.

  35. Nic Lughadha E, Bachman SP, Leão TC, Forest F, Halley JM, Moat J, Acedo C, Bacon KL, Brewer RF, Gâteblé G, Gonçalves SC. Extinction risk and threats to plants and fungi. Plants People Planet. 2020;2(5):389–408.

    Article  Google Scholar 

  36. Okia C. Balanites aegyptiaca: a resource for improving nutrition and income of dryland communities in Uganda. United Kingdom: Bangor University; 2010.

    Google Scholar 

  37. Paclibar GC, Tadiosa ER. Plant species diversity and assessment in Quezon Protected Landscape, Southern Luzon, Philippines. Philipp J Syst Biol. 2020;14(3):1–9.

    Google Scholar 

  38. Phillips S, Namaganda M, Lye KA. 115 Ugandan grasses. Kampala: Department of Botany, Makerere University; 2003.

    Google Scholar 

  39. Pomeroy D, Tushabe H. The State of Uganda’s Biodiversity 2004. Kampala: Makerere University Institute of Environment and Natural Resources/National Biodiversity Data Bank; 2004.

  40. Pullaiah T, Bahadur B, Krishnamurthy KV. Plant biodiversity. Plant biology and biotechnology: volume I: plant diversity, organization, function and improvement. 2015. p. 177–95.

    Google Scholar 

  41. Roswell M, Dushoff J, Winfree R. A conceptual guide to measuring species diversity. Oikos. 2021;130(3):321–38.

    Article  Google Scholar 

  42. Sala OE, Stuart Chapin FI, Armesto JJ, Berlow E, Bloomfield J, Dirzo R, Huber-Sanwald E, Huenneke LF, Jackson RB, Kinzig A, Leemans R. Global biodiversity scenarios for the year 2100. Science. 2000;287(5459):1770–4.

    Article  CAS  PubMed  Google Scholar 

  43. Sosef MS, Dauby G, Blach-Overgaard A, van Der Burgt X, Catarino L, Damen T, Deblauwe V, Dessein S, Dransfield J, Droissart V, Duarte MC. Exploring the floristic diversity of tropical Africa. BMC Biol. 2017;15:1–23.

    Article  Google Scholar 

  44. Taherdoost H. Sampling methods in research methodology; how to choose a sampling technique for research. How to choose a sampling technique for research (April 10, 2016). 2016.

    Google Scholar 

  45. UNDP. Karamoja Abim District Profile. Kampala: United Nations Development Programme (UNDP); 2014. https://www.undp.org/sites/g/files/zskgke326/files/migration/ug/UNDPUg2014---Abim-HRV-Profile_FINAL.pdf.

    Google Scholar 

  46. UNDP. Teso Katakwi district Hazard, Risk and Vulnerability profile. Kampala: United Nations Development Programme (UNDP); 2014. https://www.undp.org/sites/g/files/zskgke326/files/migration/ug/UNDPUganda-2014-Teso-HRV-Report---Katakwi.pdf.

    Google Scholar 

  47. UNDP. Teso Serere district Hazard, Risk and Vulnerability profile. Kampala: United Nations Development Programme (UNDP); 2014. https://www.undp.org/sites/g/files/zskgke326/files/migration/ug/UNDPUganda-2014-Teso-HRV-Report---Serere.pdf.

    Google Scholar 

  48. UNDP. Teso Kaberamaido district Hazard, Risk and Vulnerability profile. Kampala: United Nations Development Programme (UNDP); 2014. https://www.undp.org/sites/g/files/zskgke326/files/migration/ug/UNDPUganda-2014-Teso-HRV-Report---Kaberamaido.pdf.

    Google Scholar 

  49. Valli AT, Kougioumoutzis K, Iliadou E, Panitsa M, Trigas P. Determinants of alpha and beta vascular plant diversity in Mediterranean island systems: The Ionian islands, Greece. Nord J Bot. 2019;37(1):e02156.

    Article  Google Scholar 

  50. van Vuuren DP, Sala OE, Pereira HM. The future of vascular plant diversity under four global scenarios. Ecol Soc. 2006;11(2).

  51. Vellend M, Baeten L, Becker-Scarpitta A, Boucher-Lalonde V, McCune JL, Messier J, Myers-Smith IH, Sax DF. Plant biodiversity change across scales during the Anthropocene. Annu Rev Plant Biol. 2017;28(68):563–86.

    Article  Google Scholar 

  52. Vincy MV, Brilliant R. Assessing Riparian Floristic Diversity and Vegetation Dynamics in the Vamanapuram River Basin, Kerala: a comprehensive analysis. Nat Environ Pollut Technol. 2024;23(2).

  53. WCS. Nationally threatened species for Uganda. Kampala: Wildlife Conservation Society; 2016.

    Google Scholar 

  54. White F. The vegetation of Africa. 1983.

    Google Scholar 

  55. Whittaker RH. Vegetation of the Siskiyou mountains, Oregon and California. Ecol Monogr. 1960;30(3):279–338.

    Article  Google Scholar 

  56. Williams P, Faith D, Manne L, Sechrest W, Preston C. Complementarity analysis: mapping the performance of surrogates for biodiversity. Biol Cons. 2006;128(2):253–64.

    Article  Google Scholar 

  57. Yadava R. A comparative assessment of floristic diversity between a buffer zone community forest and a community forest in the barandabhar corridor, Chitwan, Nepal. Am J Hortic Floric Res. 2023;5(06):15–20.

    Google Scholar 

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Acknowledgements

We acknowledge the support from DAAD In-Country/In-Region towards SO for his doctoral studies at Makerere University. We also acknowledge the permission from the National Forestry Authority (NFA) to undertake this research within the forest reserves of north eastern Uganda. We also grateful for the support of various forest patrol men who supported SO during field surveys. Mr. Protase Rwaburindore who helped with determination of voucher specimens at the Makerere University Herbarium is sincerely appreciated.

Funding

The study was supported by DAAD In-country/In-Region Programme and IDEA Wild.

Author information

Authors and Affiliations

Authors

Contributions

SO conceptualized the research idea, collected the data and prepared the draft manuscript. EK, PM and JK supervised data collection, data analysis and reviewed the draft manuscript.

Corresponding author

Correspondence to Samuel Ojelel.

Ethics declarations

Ethics approval and consent to participate

NA.

Consent for publication

All the authors consent to publication.

Competing interests

The authors declare no competing interests.

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Appendix 1

Appendix 1

List of plant species in the Central Forest Reserves of north eastern Uganda

Family

Scientific name

Central Forest Reserve

Origin

GCS

AKU

KAN

BUL

MOR

ONY

OGE

Acanthaceae

Barleria sp.

0

1

0

0

0

0

UNK

NE

Crabbea velutina S. Moore

1

0

0

1

1

0

NAT

NE

Hypoestes forskaolii (Vahl) R.Br.

0

0

0

1

0

0

NAT

NE

Justicia ladanoides Lam

1

0

0

0

0

0

NAT

NE

Justicia exigua S. Moore

0

0

1

0

0

0

NAT

NE

Justicia heterocarpa T.Anderson

0

0

1

0

0

0

NAT

EN

Thunbergia alata Bojer ex Sims

1

0

1

1

1

0

NAT

NE

Adiantacae

Pellaea involuta (Sw.) Bak. var. obscura (N.C.Anthony)Verdc.

1

1

1

0

0

0

NAT

NE

Amaranthaceae

Achyranthes aspera L.

1

1

1

1

0

0

NAT

NE

Amaranthus hybridus L.

0

0

1

0

0

1

INT

NE

Amaranthus spinosus L.

0

0

1

0

0

0

INT

NE

Celosia trigyna L.

0

0

1

0

0

0

NAT

NE

Iresine diffusa Humb. & Bonpl. ex Willd.

0

0

0

1

0

0

INT

NE

Ouret lanata (L.) Kuntze

0

0

0

0

1

0

NAT

NE

Amaryllidaceae

Scadoxus cyrtanthiflorus (C.H.Wright) Friis & Nordal

1

0

1

0

1

1

NAT

NE

Anacacrdiaceae

Lannea fruticosa (Hochst. ex A. Rich.) Engl.

0

0

0

0

0

1

NAT

NE

Lannea fulva (Engl.) Engl.

0

1

0

0

1

0

NAT

NE

Lannea humilis (Oliv.) Engl.

1

0

1

1

1

1

NAT

NE

Lannea schimperi (Hochst. ex A. Rich.) Engl.

1

1

1

1

1

1

NAT

NE

Lannea schweinfurthii (Engl.) Engl.

0

0

1

0

0

1

NAT

NE

Mangifera indica L.

1

0

0

0

0

0

INT

DD

Ozoroa insignis Delile

0

0

0

0

1

1

NAT

NE

Sclerocarya birrea (A. Rich.) Hochst.

1

1

1

1

1

1

NAT

NE

Searsia natalensis (Bernh. ex C.Krauss) F.A.Barkley

0

0

1

0

0

0

NAT

LC

Searsia pyroides (Burch.) Moffett

1

1

1

1

1

1

NAT

LC

Annonaceae

Annona senegalensis Pers.

1

1

0

0

1

0

NAT

LC

Monanthotaxis buchananii (Engl.) Verdc.

0

1

1

0

1

1

NAT

NE

Apiaceae

Steganotaenia araliacea Hochst.

1

0

1

1

1

1

NAT

LC

Apocynaceae

Carissa spinarum L.

1

1

1

1

1

1

NAT

LC

Funtumia africana (Benth.) Stapf

0

1

0

0

0

0

NAT

LC

Gomphocarpus semilunatus A. Rich

0

0

0

1

0

0

NAT

NE

Leptadenia lanceolata subsp. Lanceolata

0

0

1

0

1

0

NAT

NE

Mondia whitei (Hook.f.) Skeels

0

0

1

1

0

0

NAT

NE

Orbea vibratilis (E.A.Bruce & P.R.O.Bally) Bruyns

0

0

0

0

1

0

NAT

NE

Pachycarpus eximius (Schltr.) Bullock

0

0

0

0

0

1

NAT

NE

Saba comorensis (Bojer ex A.DC.) Pichon

1

1

0

0

0

0

NAT

NE

Sarcostemma viminale (L.) R. Br.

0

0

0

0

1

0

NAT

NE

Secamone parviflora Klack.

0

0

0

0

1

0

UNK

NE

Stathmostelma pedunculatum (Decne.) K.Schum.

0

0

1

0

0

0

NAT

NE

Araceae

Amorphophallus abyssinicus (A. Rich.) N.E.Br.

1

0

0

0

0

0

NAT

NE

Araliaceae

Cussonia arborea Hochst. ex A.Rich.

1

1

1

0

1

1

NAT

NE

Arecaceae

Borassus aethiopum Mart.

0

1

0

0

0

0

NAT

LC

Phoenix reclinata Jacq.

0

1

0

0

0

0

NAT

LC

Asparagaceae

Asparagus racemosus Willd.

1

1

1

1

1

1

NAT

NE

Chlorophytum comosum (Thunb.) Jacques

1

1

1

0

1

1

NAT

NE

Dracaena dawei (Stapf) Byng & Christenh.

1

1

1

0

1

1

NAT

NE

Dracaena fragrans (L.) Ker Gawl.

1

0

0

0

0

0

NAT

LC

Asphodelaceae

Aloe volkensii Engl. subsp.. multicaulis Carter

1

0

0

1

1

0

NAT

LC

Kniphofia paludosa Engl.

1

0

0

0

1

0

UNK

NE

Asteraceae

Acanthospermum hispidum DC.

0

0

0

0

1

1

INT

NE

Ageratum conyzoides L.

0

1

1

1

0

1

INT

LC

Aspilia kotschyi (Sch.Bip. ex Hochst.) Oliv.

1

1

0

1

1

0

NAT

NE

Baccharoides adoensis (Sch.Bip. ex Walp.) H.Rob.

1

1

1

1

0

1

NAT

NE

Bidens lineariloba Oliv.

0

0

0

1

0

0

INT

NE

Bidens pilosa L.

1

1

1

1

1

1

INT

LC

Bidens ugandensis Sherff

0

0

0

0

0

1

NAT

NE

Chromolaena odorata (L.) R.M.King & H.Rob.

0

0

1

0

0

0

UNK

NE

Crassocephalum crepidioides (Benth.) S.Moore

1

 

1

1

1

1

NAT

NE

Crassocephalum gracile Milne-Redh. ex Guinea

0

0

0

0

1

0

UNK

LC

Crepis carbonaria Sch.Bip.

0

0

0

0

1

0

NAT

NE

Cyanthillium cinereum (L.) H.Rob.

0

0

1

0

0

0

UNK

NE

Distephanus biafrae (Oliv. & Hiern) H.Rob.

0

0

0

0

0

1

NAT

NE

Emilia discifolia (Oliv.) C.Jeffrey

0

1

1

0

0

1

NAT

NE

Erigeron bonariensis L.

0

0

1

0

0

0

UNK

NE

Erigeron floribundus (Kunth) Sch.Bip.

1

1

1

1

1

1

INT

NE

Guizotia scabra (Vis.) Chiov.

1

1

1

0

0

0

NAT

NE

Gutenbergia petersii Steelz

0

0

0

1

1

0

UNK

NE

Gutenbergia cordifolia Benth. ex Oliv.

1

0

0

0

0

0

NAT

NE

Gymnanthemum amygdalinum (Delile) Sch.Bip.

0

0

1

0

0

0

NAT

NE

Gymnanthemum auriculiferum (Hiern) Isawumi

0

0

1

0

0

1

NAT

LC

Helichrysum nudifolium (L.) Less.

0

0

0

0

0

1

NAT

NE

Helicrysum glumaceum DC

0

0

0

1

0

0

NAT

NE

Lactuca inermis Forssk. L.

1

0

0

0

0

1

NAT

NE

Laggera alata (D. Don) Sch.Bip. ex Oliv.

0

0

1

1

1

0

UNK

NE

Microglossa pyrifolia (Lam.) Kuntze

0

0

1

0

0

0

NAT

NE

Pluchea bequaertii Robyns

0

0

0

1

0

0

NAT

LC

Senecio hadiensis Forrsk.

0

0

0

1

1

0

NAT

NE

Senecio hochstetteri A.Rich.

0

0

0

1

0

0

NAT

NE

Solanecio angulatus (Vahl) C.Jeffrey

0

1

1

0

1

0

NAT

NE

Synedrella nodiflora (L.) Gaertn.

0

0

1

0

0

1

NAT

NE

Tagetes minuta L.

1

1

1

1

0

1

INT

NE

Tridax procumbens L.

0

0

0

0

1

0

NAT

NE

Vernonia galamensis subsp. galamensis

0

0

0

1

0

0

NAT

NE

Vernonia perrottetii Sch.Bip. ex Walp.

0

1

1

0

1

0

NAT

NE

Bignoniaceae

Stereospermum kunthianum Cham.

1

1

1

1

1

1

NAT

LC

Kigelia africana (Lam.) Benth.

0

0

0

1

0

0

NAT

LC

Boraginaceae

Cordia monoica Roxb.

0

1

1

0

0

0

NAT

LC

Trichodesma zeylanicum (Burm.f.) R.Br.

1

0

1

0

1

0

NAT

NE

Burseraceae

Commiphora africana (A. Rich.) Engl.

1

1

1

1

1

0

NAT

LC

Cactaceae

Opuntia monacantha Haw.

0

0

0

1

0

0

INT

LC

Capparaceae

Boscia integrifolia Oliv.

1

1

1

1

0

0

NAT

NE

Cadaba farinosa Forssk.

0

0

1

0

0

1

NAT

LC

Capparis fascicularis DC.

0

0

0

1

0

0

NAT

LC

Capparis tomentosa Lam.

0

0

0

0

1

0

NAT

NE

Crateva adansonii DC.

0

0

1

0

0

0

NAT

LC

Maerua angolensis DC.

0

1

1

0

1

0

NAT

LC

Maerua duchesnei (De Wild.) F.White

0

0

0

0

1

0

NAT

LC

Caryophyllaceae

Polycarpaea corymbosa (L.) Lam.

0

0

0

0

1

0

NAT

NE

Celastraceae

Gymnosporia senegalensis (Lam.) Loes.

1

1

1

0

1

1

NAT

LC

Loeseneriella apocynoides (Welw. ex Oliv.) N.Hallé ex J. Raynal

1

0

1

0

1

1

NAT

NE

Mystroxylon aethiopicum (Thunb.) Loes.

1

1

1

1

1

1

NAT

LC

Pleurostylia africana Loes.

1

0

0

1

0

0

NAT

NE

Chrysobalanaceae

Parinari curatellifolia Planch. ex Benth.

0

0

0

0

0

1

NAT

LC

Clusiaceae

Symphonia globulifera L.f.

0

1

0

1

0

0

NAT

LC

Colchicaceae

Gloriosa superba L.

0

0

1

1

1

0

NAT

LC

Combretaceae

Combretum adenogonium Steud. ex A.Rich.

1

1

1

0

1

0

NAT

LC

Combretum collinum Fresen

1

1

1

0

1

1

NAT

LC

Combretum hereroense Schinz. subsp. grotei (Exell.) Wickens

0

0

0

1

0

0

UNK

NE

Combretum molle R.Br. ex G.Don

1

1

1

1

1

1

NAT

LC

Terminalia brownii Fresen.

0

0

0

1

0

0

NAT

LC

Terminalia schimperiana Hochst.

0

0

0

0

1

1

NAT

LC

Terminalia mollis M.A.Lawson

0

0

1

0

0

1

NAT

LC

Terminalia schimperiana Hochst. ex Delile

1

1

1

0

1

1

NAT

NE

Commelinaceae

Commelina africana subsp. africana

1

0

0

0

1

1

NAT

NE

Commelina benghalensis L.

0

0

1

1

0

0

NAT

LC

Murdannia simplex (Vahl) Brenan

0

0

1

0

1

0

NAT

LC

Convolvulaceae

Ipomoea aquatica Forssk.

0

0

0

0

1

0

NAT

LC

Ipomoea eriocarpa R. Br.

1

0

1

0

0

0

NAT

NE

Ipomoea obscura (L.) Ker Gawl.

0

1

0

0

0

0

NAT

NE

Ipomoea pileata Roxb.

0

0

0

0

1

0

NAT

NE

Ipomoea prismatosyphon Welw.

1

0

0

0

0

0

NAT

NE

Ipomoea rubes Choisy

0

0

1

0

0

0

NAT

NE

Ipomoea spathulata Hallier f.

1

1

0

1

0

0

NAT

NE

Ipomoea tenuirostris Choisy

0

1

0

0

1

1

NAT

NE

Lepistemon owariense (Beauv.) Hall.f.

0

1

0

0

1

0

NAT

NE

Lepistemon parviflorum Pilg. ex Büsgen

0

0

0

0

1

0

NAT

NE

Crussalaceae

Kalanchoe lanceolata (Forrsk.) Pers.

0

0

0

1

0

0

NAT

NE

Cucurbitaceae

Cucumis sp.

1

1

0

0

0

0

UNK

NE

Cucumis aculeatus Cogn.

0

0

0

1

0

0

NAT

NE

Cucumis maderaspatanus L.

0

0

0

0

1

0

NAT

NE

Diplocyclos palmatus (L.) C.Jeffrey

0

0

1

0

0

1

NAT

NE

Cyperaceae

Cyperus articulatus L.

0

0

1

0

0

0

NAT

LC

Cyperus cyperoides (L.) Kuntze

0

0

1

0

1

0

NAT

LC

Cyperus latifolius Poir.

0

0

1

0

0

0

NAT

LC

Cyperus papyrus L.

0

0

1

0

0

0

NAT

LC

Bulbostylis abortiva (Steud.) C.B.CI.

0

0

1

0

0

1

NAT

NE

Dioscoreaceae

Dioscorea bulbifera L.

0

0

1

0

1

1

NAT

NE

Dioscorea quartiniana A. Rich.

1

1

1

0

1

1

NAT

NE

Dioscorea praehensilis Benth.

0

0

0

0

0

1

NAT

LC

Dioscorea sp.

1

1

0

1

1

0

UNK

NE

Ebenaceae

Diospyros mespiliformis Hochst. ex A.DC.

1

1

0

1

1

0

NAT

NE

Diospyros abyssinica (Hiern) F.White

0

0

0

0

1

0

NAT

LC

Diospyros scabra (Chiov.) Cufod.

0

0

0

0

1

0

NAT

NE

Euclea divinorum Hierm

0

0

0

1

1

1

NAT

LC

Euclea racemosa L.

0

0

0

0

1

0

NAT

LC

Erythroxylaceae

Erythroxylum fischeri Engl.

0

0

0

0

1

0

NAT

NE

Euphorbiaceae

Acalypha villicaulis A. Rich.

1

1

0

0

1

0

UNK

NE

Euphorbia bongensis Kotschy & Peyr. ex Boiss

0

0

0

0

1

0

NAT

NE

Euphorbia breviarticulata Pax

1

1

1

1

1

0

NAT

NE

Euphorbia crotonoides Boiss

0

0

1

1

1

0

UNK

NE

Ricinus communis L.

1

0

1

0

0

1

UNK

NE

Tragia brevipes Pax

0

1

1

0

0

1

NAT

NE

Fabaceae

Abrus precatorius L.

0

1

0

0

1

0

NAT

NE

Acacia amythethophylla A. Rich.

1

0

0

0

0

0

UNK

LC

Acacia mearnsii De Wild.

1

1

1

1

1

0

INT

NE

Acacia polyacantha Willd.

0

0

1

0

0

0

NAT

NE

Aeschynomene abyssinica (A. Rich.) Vatke

0

0

0

1

0

0

NAT

NE

Aeschynomene americana L.

0

0

1

0

0

1

INT

NE

Aeschynomene elaphroxylon (Guill. & Perr.) Taub.

0

0

1

0

0

0

NAT

LC

Alantsilodendron pilosum Villiers

1

1

1

0

0

0

UNK

LC

Albizia coriaria Welw. ex Oliv.

1

0

1

0

1

0

NAT

LC

Albizia malacophylla (A. Rich.) Walp.

0

0

0

1

0

1

NAT

VU

Albizia zygia (DC.) J.F.Macbr.

1

1

1

0

1

1

NAT

LC

Albizia ferruginea (Guill. & Perr.) Benth.

0

0

1

0

0

0

NAT

NT

Canavalia africana Dunn

0

0

0

0

1

0

NAT

NE

Caesalpinia sp.

0

0

0

1

0

0

UNK

NE

Chamaecrista mimosoides (L.) Greene

0

0

0

0

1

0

NAT

LC

Chamaecrista absus (L.) H.S.Irwin & Barneb

0

0

0

1

1

0

NAT

LC

Chamaecrista hildebrandtii (Vatke) Lock

1

1

0

1

1

0

NAT

NE

Chamaecrista kirkii (Oliv.) Standl.

0

0

0

1

0

0

NAT

LC

Chamaecrista mimosoides (L.) Greene

0

0

1

0

0

0

NAT

LC

Crotalaria deserticola Taub. ex Baker f.

1

0

0

1

1

1

NAT

NE

Crotalaria microcarpa Hochst. ex Benth.

0

0

0

0

1

0

NAT

NE

Crotalaria natalitia Meisn. var. rutschuruensis De Wild.

0

1

0

0

0

0

NAT

NE

Crotalaria vallicola Bak.f.

0

1

1

0

0

0

NAT

NE

Dalbergia melanoxylon Guill. & Perr.

1

1

0

1

0

0

NAT

NT

Desmodium tortuosum (Sw.) DC.

0

0

1

0

0

0

INT

NE

Dichrostachys cinerea (L.) Wight & Arn.

0

0

0

1

1

1

NAT

LC

Eriosema parviflorum E.Mey.

0

0

1

0

0

1

NAT

LC

Erythrina abyssinica DC.

1

1

0

1

0

0

NAT

LC

Grona hirta (Guill. & Perr.) H.Ohashi & K.Ohashi

0

0

1

0

0

0

UNK

NE

Indigofera arrecta Hochst. ex A.Rich.

0

0

0

0

1

0

NAT

NE

Indigofera brevicalyx Baker f.

0

1

1

0

0

1

NAT

NE

Indigofera congesta Welw. ex Baker

0

0

1

0

1

1

NAT

NE

Indigofera conjugata Baker

0

0

0

0

0

1

NAT

LC

Indigofera garckeana Vatke

1

1

0

1

1

1

NAT

NE

Indigofera hirsuta L.

0

0

0

0

0

1

NAT

NE

Indigofera tanganyikensis Baker f.

0

1

1

1

1

1

NAT

NE

Mimosa pudica L

0

0

0

0

1

1

INT

LC

Mucuna stans Welw. ex Baker

1

1

0

1

0

0

NAT

NE

Neonotonia wightii (Wight & Arn.) J.A.Lackey

0

0

0

0

0

1

NAT

LC

Philenoptera laxiflora (Guill. & Perr.) Roberty

1

1

1

0

1

1

NAT

NE

Piliostigma thonningii (Schumach.) Milne-Redh.

1

1

1

0

1

1

NAT

NE

Polhillides velutina (Willd.) H.Ohashi & K.Ohashi

1

1

1

0

0

1

NAT

NE

Prosopis africana (Guill. & Perr.) Taub.

1

1

1

1

1

1

NAT

LC

Rhychosia goetzei Harms.

1

0

0

1

0

0

UNK

NE

Rhychosia sp.

0

0

0

1

0

0

UNK

NE

Rhynchosia hirta (Andrews) Meikle & Verdc.

0

0

1

1

0

0

NAT

NE

Rhynchosia stipulosa A. Rich.

1

1

0

0

0

1

UNK

NE

Rhyncosia albissima Gand.

0

0

0

1

0

0

NAT

NE

Senegalia mellifera (Benth.) Seigler & Ebinger

0

0

0

1

0

0

NAT

LC

Senegalia pennata (L.) Maslin

1

1

1

1

1

1

UNK

LC

Senegalia polyacantha subsp. campylacantha (Hochst. ex A. Rich.) Kyal. & Boatwr.

0

0

0

0

0

1

NAT

NE

Senegalia senegal (L.) Britton

0

1

1

1

1

1

NAT

NE

Senna hirsuta (L.) H.S.Irwin & Barneby

0

0

0

0

0

1

NAT

NE

Senna obtusifolia (L.) H.S.Irwin & Barneby

0

1

1

1

1

1

NAT

NE

Senna occidentalis (L.) Link

0

1

0

0

0

0

INT

NE

Senna petersiana (Bolle) Lock

0

0

0

0

0

1

NAT

LC

Senna singueana (Delile) Lock

0

0

0

1

0

0

NAT

LC

Senna spectabilis (DC.) H.S.Irwin & Barneby

0

1

1

0

0

1

INT

LC

Senna bicapsularis (L.) Roxb

0

0

1

0

0

0

INT

LC

Senna occidentalis (L.) Link

0

0

1

0

1

0

INT

NE

Stylosanthes fruticosa (Retz.) Alston

0

0

0

1

0

0

NAT

NE

Stylosanthes guianensis (Aubl.) Sw.

0

0

0

0

0

1

INT

NE

Tamarindus indica L.

1

0

1

1

1

1

INT

LC

Tephrosia elata Deflers

0

0

0

1

0

0

NAT

NE

Tephrosia nana Kotschy ex Schweinf.

0

1

1

1

1

1

NAT

NE

Tephrosia noctiflora Bojer ex Baker

0

0

1

0

0

0

UNK

NE

Tephrosia villosa (L.) Pers.

0

0

1

0

0

0

NAT

LC

Uraria picta (Jacq.) Desv. ex DC.

0

0

1

0

1

0

NAT

LC

Vachellia gerrardii (Benth.) P.J.H.Hurter (Benth.) P.J.H.Hurter

0

0

0

0

1

0

NAT

NE

Vachellia hockii (De Wild.) Seigler & Ebinger

1

1

1

1

1

1

NAT

NE

Vachellia nilotica (L.) P.J.H.Hurter & Mabb.

0

0

0

1

0

0

NAT

LC

Vachellia seyal (Delile) P.J.H. Hurter

1

0

0

1

0

0

NAT

LC

Vachellia sieberiana (DC.) Kyal. & Boatwr.

0

1

1

1

1

1

NAT

LC

Vigna kirkii (Baker) J.B.Gillett

0

1

1

1

1

0

NAT

NE

Vigna multinervis Hutch. & Dalziel

0

0

0

0

0

1

NAT

LC

Vigna parkeri Bak. Subsp. maranguensis (Taub.) Verdc.

0

0

0

0

1

0

NAT

LC

Zornia glochidiata Rchb. ex DC.

0

0

1

1

1

0

NAT

NE

Hypericaceae

Psorospermum febrifugum Spach

0

0

1

0

1

1

NAT

LC

Lamiaceae

Aeolanthus haliotropioides Oliv. Forma

0

0

1

0

0

1

NAT

NE

Clerodendrum umbellatum Poir.

0

0

1

0

0

1

NAT

NE

Coleus caninus (Roth) Vatke

0

0

0

1

0

0

NAT

NE

Equilabium flaccidum (Vatke) Mwany. & A.J.Paton

0

1

1

0

1

0

UNK

NE

Hyptis suaveolens (L. Poit)

0

0

0

0

1

0

NAT

NE

Hoslundia opposita Vahl

0

1

1

1

1

1

NAT

NE

Leonotis nepetifolia (L.) R.Br.

1

1

1

1

0

1

NAT

NE

Leucas calostachys Oliv.

0

0

0

1

0

0

NAT

NE

Leucas martinicensis (Jacq.) R.Br.

0

0

0

1

0

0

NAT

NE

Ocimum basilicum L.

0

1

1

1

1

1

INT

NE

Ocimum gratissimum L.

0

0

0

1

0

0

NAT

NE

Orthisiphon sp.

0

0

1

0

0

0

UNK

NE

Plectranthus laxiflorus Benth.

0

1

0

0

0

0

NAT

NE

Rotheca myricoides (Hochst.) Steane &

0

0

0

1

0

0

NAT

LC

Tinnea aethiopica Kotschy ex Hook.f.

0

0

0

0

1

0

NAT

NE

Vitex amaniensis W.Piep.

0

0

1

0

0

0

UNK

VU

Vitex ferruginea Schumach. & Thonn.

1

1

1

0

0

1

NAT

LC

Vitex doniana Sweet

1

1

0

0

0

1

NAT

LC

Loganiaceae

Strychnos innocua Delile

1

1

1

1

1

1

NAT

LC

Strychnos spinosa Lam.

1

0

0

1

0

0

NAT

NE

Malvaceae

Abutilon mauritianum (Jacq.) Medik.

1

0

0

0

1

1

NAT

NE

Corchorus trilocularis L.

0

0

0

1

0

0

NAT

NE

Grewia mollis Juss.

1

1

1

1

1

1

NAT

LC

Grewia similis K.Schum.

0

0

0

1

0

0

NAT

NE

Grewia trichocarpa Hochst. ex A.Rich.

1

0

0

0

0

0

NAT

NE

Grewia villosa Willd.

1

1

0

1

0

1

NAT

LC

Hibiscus cannabinus L.

1

0

1

1

1

1

NAT

NE

Kosteletzkya adoensis (Hochst. ex A.Rich.) Mast.

0

0

0

1

0

0

NAT

NE

Sida acuta Burm.f.

0

1

1

1

0

1

NAT

NE

Sida alba L.

0

0

1

0

0

1

NAT

NE

Sida rhombifolia L.

0

0

1

0

0

1

NAT

NE

Sidastrum micranthum (A.St.-Hil.) Fryxell

0

1

1

1

0

0

NAT

NE

Sterculia setigera Delile

1

1

0

1

0

0

NAT

LC

Triumfetta annua L.

1

1

1

1

1

0

NAT

NE

Triumfetta brachyceras K.Schum.

1

1

1

0

1

1

NAT

NE

Triumfetta flavescens Hochst. ex A.Rich.

0

0

0

1

0

0

NAT

NE

Waltheria indica L.

0

0

1

1

1

0

INT

NE

Wissadula rostrata (Schumach. & Thonn.) Hook.

1

1

1

0

1

1

UNK

NE

Melastomataceae

Antherotoma senegambiensis (Guill. & Perr.) Jacq.-Fél.

0

0

0

0

0

1

NAT

NE

Meliaceae

Ekebergia capensis Sparm

0

0

0

1

0

0

NAT

LC

Entandrophragma cylindricum (Sprague) Sprague

1

0

0

0

0

0

NAT

VU

Justicia sp.

1

1

0

1

0

0

UNK

NE

Pseudocedrela kotschyi (Schweinf.) Harms

0

0

0

0

0

1

NAT

LC

Toona hexandra (Wall.) M.Roem.

1

1

0

0

0

0

INT

LC

Menispermaceae

Chasmanthera dependens Hochst.

0

0

1

0

1

0

NAT

NE

Tinospora caffra (Miers) Troupin (Syn: Hyalosepalum caffrum (Miers) Troupin)

0

0

0

0

1

0

NAT

NE

Moraceae

Antiaris toxicaria (J.F.Gmel.) Lesch.

1

1

0

0

0

1

NAT

LC

Ficus amadiensis De Wild.

0

0

0

1

0

0

NAT

NE

Ficus glumosa Delile

1

1

1

1

0

1

NAT

LC

Ficus laurifolia Lam.

0

1

1

0

0

0

NAT

NE

Ficus thonningii Blume

1

0

1

0

1

1

NAT

LC

Ficus sycomorus L.

1

0

0

0

1

0

NAT

LC

Ficus platyphylla Delile

1

1

0

1

0

1

NAT

LC

Ficus natalensis Hochst.

1

1

0

0

0

0

NAT

LC

Ficus mucuso Welw. ex Ficalho

0

1

0

1

0

0

NAT

LC

Ficus ingens (Miq.) Miq.

0

1

0

0

0

0

NAT

LC

Ficus dicranostyla Mildbr.

1

0

0

0

0

0

NAT

LC

Milicia excelsa (Welw.) C.C.Berg

0

0

1

0

0

0

NAT

NT

Musaceae

Musa paradisiaca L

1

0

0

0

0

0

UNK

NE

Myrtaceae

Eucalyptus grandis W.Hill ex Maiden

1

0

0

0

0

0

INT

NT

Syzygium guineense (Willd.) DC.

1

0

1

0

0

1

UNK

LC

Nyctaginaceae

Commicarpus pedunculosus (A.Rich.) Cufod.

0

0

1

0

1

1

NAT

NE

Olacaceae

Ximenia americana L.

1

1

1

1

1

0

NAT

LC

Oleaceae

Jasminum dichotomum Vahl

0

0

1

0

0

0

NAT

NE

Jasminum grandiflorum subsp. floribundum (R.Br. ex Fresen.) P.S.Green

0

0

0

0

0

1

NAT

NE

Olea hochstetteri Baker

0

0

0

0

1

0

NAT

NE

Opiliaceae

Opilia amentacea Roxb.

0

0

0

0

0

1

NAT

NE

Orchidaceae

Eulophia sp.

0

0

0

0

1

1

UNK

NE

Orobanchaceae

Cycnium herzfeldianum (Vatke) Engl.

0

0

1

0

0

0

NAT

NE

Cycnium tubulosum (L.f.) Engl.

0

0

0

1

0

0

NAT

LC

Passifloraceae

Adenia cissampeloides (Planch. ex Hook.) Harms

1

1

1

1

0

1

NAT

NE

Adenia venenata Forssk.

0

1

0

0

0

0

NAT

NE

Passiflora caerulea L.

0

0

1

0

0

0

INT

NE

Passiflora edulis Sims

0

0

1

0

0

1

INT

NE

Pedaliaceae

Sesamum angustifolium (Oliv.) Engl.

0

0

1

1

0

0

NAT

NE

Phyllancaceae

Bridelia scleroneura Müll.Arg.

1

1

1

1

1

1

NAT

LC

Flueggea virosa (Roxb. ex Willd.) Royle

1

1

1

0

0

1

NAT

LC

Hymenocardia acida Tul.

1

0

1

0

0

1

NAT

LC

Margaritaria discoidea (Baill.) G.L.Webster

0

1

0

0

0

0

NAT

LC

Phyllanthus maderaspatensis L.

1

0

1

0

1

0

NAT

LC

Piperaceae

Peperomia molleri C.DC.

0

0

0

0

1

0

NAT

NE

Pittosporaceae

Pittosporum viridiflorum Sims

1

0

0

0

0

0

NAT

LC

Poaceae

Brachiaria decumbens Stapf

0

1

0

0

0

0

NAT

NE

Cenchrus unisetus (Nees) Morrone

1

0

0

1

0

0

NAT

LC

Chloris radiata (L.) Sw.

0

0

0

0

1

0

UNK

NE

Chloris pilosa Schumach. & Thonn.

0

0

1

0

0

0

NAT

NE

Cymbopogon citratus (DC.) Stapf

0

0

0

0

0

1

INT

NE

Cynodon dactylon (L.) Pers.

0

0

1

1

0

1

NAT

NE

Digitaria leucites (Trin.) Henrard

0

0

0

0

1

0

INT

LC

Digitaria ternata (A. Rich.) Stapf

0

0

0

0

1

0

NAT

NE

Digitaria velutina (Forssk.) P.Beauv.

0

0

0

0

0

1

NAT

LC

Eragrostis superba Peyr.

0

0

0

1

0

0

NAT

NE

Heteropogon contortus (L.) P. Beauv. ex Roem. & Schult.

0

0

0

1

0

0

NAT

NE

Hyperthelia dissoluta (Nees ex Steud.) Clayton

1

1

1

1

1

1

NAT

NE

Hyparrhenia rufa (Nees) Stapf

0

1

0

0

0

0

NAT

NE

Hyparrhenia filipendula (Hochst.) Stapf

1

1

0

1

1

1

NAT

NE

Hyparrhenia diplandra (Hack.) Stapf

0

1

0

0

0

0

NAT

NE

Loudetia arundinacea (Hochst. ex A. Rich.) Hochst. ex Steud.

1

1

1

0

0

1

NAT

NE

Megathyrsus maximus (Jacq.) B.K.Simon & S.W.L.Jacobs

1

1

1

1

1

1

NAT

NE

Melinis repens (Willd.) Zizka

0

0

1

1

0

0

NAT

NE

Melinis sp.

0

0

0

0

0

1

NAT

NE

Oxytenanthera abyssinica (A.Rich.) Munro

1

1

0

0

0

0

NAT

NE

Panicum atrosanguineum Hochst. ex A.Rich.

0

0

0

1

0

0

NAT

NE

Paspalum scrobiculatum L.

0

0

0

0

0

1

NAT

LC

Phragmites mauritianus Kunth

0

0

1

0

0

0

NAT

LC

Setaria homonyma (Steud.) Chiov.

0

0

1

0

0

1

NAT

NE

Setaria parviflora (Poir.) Kerguélen

1

0

1

0

1

1

UNK

NE

Setaria sphacelata (Schumach.) Stapf & C.E.Hubb. ex Moss

0

0

0

0

1

0

NAT

LC

Setaria verticillata (L.) P.Beauv.

0

0

0

1

1

0

NAT

NE

Setaria scandens Schrad.

0

1

0

0

0

0

UNK

NE

Sporobolus microprotus Stapf

0

0

0

0

1

1

NAT

NE

Sporobolus pyramidalis P.Beauv.

1

1

1

1

1

1

NAT

NE

Tetrapogon roxburghiana (Schult.) P.M.Peterson

0

1

1

1

0

1

NAT

NE

Themeda triandra Forssk.

0

0

0

1

0

0

NAT

NE

Urochloa eminii (Mez) Davidse

0

0

0

0

1

0

NAT

NE

Polygalaceae

Polygala acicularis Oliv.

0

0

0

0

0

1

NAT

NE

Securidaca longipedunculata Fresen

0

0

1

0

0

1

NAT

NE

Proteaceae

Protea madiensis Oliv.

1

1

0

0

0

1

NAT

LC

Ranunculaceae

Clematis hirsuta Guill. & Perr.

1

1

0

0

0

0

NAT

NE

Rhamnaceae

Ziziphus abyssinica Hochst. ex A.Rich

1

1

1

1

1

1

NAT

LC

Ziziphus mucronata Willd

0

1

0

1

0

0

NAT

LC

Scrophulariaceae

Alectra sessiliflora (Vahl) Kuntze

0

0

0

1

0

0

NAT

NE

Rubiaceae

Catunaregam nilotica (Stapf) Tirveng.

0

0

0

0

1

1

NAT

NE

Gardenia ternifolia Schumach. & Thonn.

1

1

1

1

1

1

NAT

LC

Hymenodictyon floribundum (Hochst. & Steud.) B.L.Rob.

0

0

0

0

1

1

NAT

LC

Mitracarpus hirtus (L.) DC.

0

0

1

0

0

1

INT

NE

Mussaenda arcuata Poir

0

0

0

0

0

1

NAT

NE

Nauclea latifolia Sm.

1

0

1

0

0

1

NAT

LC

Oldenlandia corymbosa var. corymbosa

0

0

1

0

0

0

NAT

LC

Oldenlandia herbacea (L.) Roxb.

0

0

0

0

0

1

NAT

LC

Pavetta subcana Hiern var. longifolia (Vatke) Bridson

0

0

0

0

1

1

NAT

NE

Pavetta ternifolia Hiern

0

0

1

0

0

1

NAT

NE

Pentanisia ouranogyne S.Moore

0

0

0

1

0

0

NAT

NE

Psychotria punctata var. punctata

0

0

0

0

0

1

NAT

NE

Spermacoce natalensis Hoscht.

0

0

1

1

1

0

NAT

NE

Spermacoce pusilla Wall.

1

0

0

1

0

1

INT

NE

Tricalysia niamniamensis Schweinf. ex Hiern

0

0

1

0

0

0

NAT

NE

Vangueria apiculata K.Schum.

1

1

1

1

1

1

NAT

LC

Virectaria major (K. Schum.) Verdc. Var. major

0

0

0

1

0

0

NAT

NE

Simaroubaceae

Harrisonia abyssinica Oliv.

1

1

1

1

1

1

NAT

LC

Rutaceae

Vepris nobilis (Delile) Mziray

1

1

1

1

1

1

NAT

LC

Zanthoxylum leprieurii Guill. & Perr.

1

1

0

1

1

1

NAT

NE

Salicaceae

Dovyalis abyssinica (A.Rich.) Warb.

0

0

0

1

0

0

NAT

LC

Oncoba spinosa Forssk.

0

0

0

1

0

0

NAT

LC

Santalaceae

Osyris lanceolata Hochst. & Steud.

0

1

0

1

0

0

NAT

LC

Osyris compressa (P.J.Bergius) A.DC.

0

0

0

0

1

0

INT

NE

Sapindaceae

Allophylus ferrugineus Taub.

0

0

1

1

0

0

NAT

LC

Allophylus rubifolius (Hochst. ex A.Rich.) Engl.

0

0

0

0

1

0

NAT

LC

Pappea capensis Eckl. & Zeyh.

1

1

0

1

0

0

NAT

LC

Sapotaceae

Gambeya gorungosana (Engl.) Liben

0

0

0

0

1

0

NAT

NE

Vitellaria paradoxa C.F.Gaertn.

1

1

0

0

1

1

NAT

VU

Solanaceae

Capsicum annuum L.

0

0

1

0

0

1

INT

LC

Nicandra physalodes (L.) Gaertn.

0

0

0

0

0

1

INT

NE

Solanum incanum L.

1

1

1

1

0

1

NAT

NE

Solanum lycopersicum L.

0

0

0

0

0

1

INT

NE

Solanum nigrum L.

0

0

1

0

1

1

NAT

NE

Solanum tuberosum L.

0

0

1

0

0

0

UNK

NE

Solanum terminale Forssk.

0

0

1

0

0

0

NAT

NE

Stilbaceae

Nuxia oppositifolia (Hochst.) Benth

1

1

0

1

0

0

NAT

LC

Ulmaceae

Trema orientalis (L.) Blume

0

0

1

0

0

0

INT

LC

Velloziaceae

Vellozia sp.

1

1

0

0

0

0

UNK

NE

Verbenacaeae

Lantana camara L.

1

1

1

1

0

1

INT

NE

Lippia abyssinica (Otto & A.Dietr.) Cufod.

0

1

0

0

0

1

NAT

NE

Stachytarpheta urticifolia Sims

0

1

0

1

0

0

UNK

NE

Vitaceae

Ampelocissus africana (Lour.) Merr.

1

1

1

1

0

0

NAT

NE

Cissus cornifolia (Bak.) Planch.

1

1

0

1

1

0

NAT

NE

Cissus petiolata Hook.f.

1

0

1

0

1

1

NAT

NE

Cissus rotundifolia Vahl

0

0

0

0

1

0

NAT

NE

Cyphostemma adenocaule (Steud. ex A.Rich.) Desc. ex Wild & R.B.Drumm.

1

1

1

0

1

1

NAT

NE

Cyphostemma crinatum Planch

0

0

0

1

0

0

NAT

NE

Cyphostemma serpens (A.Rich) Descoings

0

0

0

0

1

0

NAT

NE

Rhoicissus tridentata (L.f.) Wild & R.B.Drumm.

0

0

1

0

1

1

NAT

LC

Zingiberaceae

Aframomum alboviolaceum (Ridl.) K.Schum.

0

1

0

0

0

1

NAT

LC

Aframomum mildbraedii Loes

0

0

0

0

1

0

NAT

LC

Zygophyllaceae

Balanites aegyptiaca (L.) Delile

1

1

0

1

1

1

NAT

LC

  1. Key:
  2. (i) Central Forest Reserves: AKU Akur, KAN Kano, BUL Bululu Hills, MOR Mount. Moroto, ONY Onyurut
  3. (ii) Species presence/absence: 1 = Present, 0 = absent
  4. (iii) Orig(iii) Origin: NAT Native, INT Introduced, UNK Unknownin, NAT Native, INT Introduced, UNK Unknown
  5. (iv) GCS = IUCN Global Conservation Status i.e. EN Endangered, NT Near Threatened, VU Vulnerable, LC Least Concern, DD Data deficient, NE Not Evaluated

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Ojelel, S., Katuura, E., Mucunguzi, P. et al. Comparative analysis of floristic richness and diversity in six central forest reserves of north eastern Uganda. BMC Ecol Evo 25, 12 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12862-024-02323-1

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  • DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12862-024-02323-1

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