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Biodiversity of Green Spaces in Concessions Held By Catholic Religious’ Groups in the Cities of the Congo, Democratic Republic

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20 April 2025

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21 April 2025

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Abstract
The environmental challenges of urbanization led to a growing interest in the analysis of biodiversity in cities. So far, the focus was on public green spaces, which are becoming increasingly scarce as governments lose control of urban growth. Therefore, there is growing interest in the as yet little known and documented contribution of private players to the urban biodiversity conservation. This study assesses the biodiversity of Concessions held by catholic Religious’ Groups (CRGs) in three cities (Bukavu, Kisangani and Lubumbashi) in the Democratic Republic of Congo (DRC). CRGs are targeted due to the predominance of catholicism in the DRC and its key role in the socio-economic development of the country. This plant structure of CRGs analysis was based on a systematic inventory of the flora present in a total random sample of 70 CRGs. The results show that the average CRG area in Lubumbashi (1.1 ha) is smaller than those in Bukavu (3.7 ha) and Kisangani (5.2 ha). However, there is no link between CRG area and species richness. There is quasi-heterogeneity within and between cities in the CRGs plant composition, with a total of 220 species identified corresponding to 76 families and 185 genera. Plant diversity is dominated by phanerophytes and exotic species. This study highlights the importance of taking private players into account in the urban biodiversity conservation.
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1. Introduction

Over the centuries, human societies have significantly influenced the dynamics of land occupation/use through the exploitation of natural resources and the occupation of space, a phenomenon commonly referred to as the anthropization of the landscape[1]. This phenomenon typically leads to two major processes: on one hand, the conversion of natural areas into agricultural land, and on the other hand, a direct conversion into urban areas, resulting in an additional phenomenon known as "urbanization."[1,2]
On a global scale, the process of urbanization is considered a major issue[3]. According to the United Nations, by 2050, more than two-thirds of the world’s population will be living in cities[4]. The continuous growth of human populations has fostered urban expansion that is even more significant than population growth in certain regions of the world [5]. The degree of urbanization worldwide today is high, with the number and size of large cities being unprecedented[6]. It is estimated that one in two people now live in a cities, compared to just one in ten at the beginning of the 20th century [7]. The situation is such that while cities play a likely dominant role (as centres of production and consumption) in the global economy, urban growth in developing countries far exceeds the capacity of most cities to provide adequate services to their citizens [8]. Additionally, rural exodus and population explosions exacerbate urban and peri-urban sprawl, with consequences for socio-ecosystem functioning [9]. These consequences include deforestation, the scarcity of green and open spaces in cities, loss of species, air and water pollution, the development of heat islands, erosion, and flooding [10,11,12]. The impacts of urbanization pressure on ecosystems and biodiversity have profound and multidimensional effects on the well-being of urban and peri-urban residents, who still heavily depend on these services, especially in sub-Saharan Africa [13]. Beyond its contribution to the conservation of biogenetic resources, urban biodiversity is indeed recognized for providing multiple essential services for human well-being. These include regulating microclimates, providing shade and recreational spaces, food, firewood, medicinal products, and contributions to water management, flooding, and erosion control [14,15,16].
For these reasons, increased attention is being given to the conservation of urban biodiversity, with the development of various initiatives to promote urban forestry and/or horticulture. These initiatives involve diverse public and private stakeholders at various levels and scales (individual, collective, local, national, regional, and/or international). For example, at the international and regional levels, the New Urban Agenda (NUA) was developed and adopted during the United Nations Conference on Housing and Sustainable Urban Development (Habitat III) in 2016, along with the African Strategy for Urban Forestry adopted in 2018 [17].
In this context, several studies are being conducted to better understand the biodiversity of urban green spaces [18,19,20,21,22]. However, while many studies focus on public green spaces [23,24,25,26,27], few address those managed by private stakeholders (individual private gardens, businesses, etc.) [28,29]. Yet, like public green spaces, private green spaces play an important role in urban areas and can host significant biodiversity that is still largely unknown[30]. Moreover, in the context of African cities where public authority or the state often loses control over urban growth, leading to the scarcity/spoliation of public green spaces, the contribution of private stakeholders to the development of green spaces in cities deserves attention. Private initiatives in this area indeed represent a promising avenue for the conservation of urban biodiversity and the promotion of eco-citizen awareness [31,32,33].
As is the case in several African countries, the situation of limited knowledge about urban biodiversity in public and especially private spaces is observed in the Democratic Republic of the Congo (DRC). Studies on urban ecology there are indeed recent[34,35]. Among private stakeholders are Catholic religious’ groups that have played and continue to play a crucial role in the socio-economic and even political development of the country [36,37,38]. These groups have acquired large concessions throughout the country, which they develop for various activities (schools, cultural centers, churches, etc.). For a better understanding of urban biodiversity in DRC cities, the biodiversity associated with the concessions managed by Catholic religious’ groups deserves particular attention due to their significance. Additionally, whether it concerns sacred forests in traditional religions [39] or the garden where Jesus prayed for the last time in Christianity, a close link between religious practices and vegetation is noted [40]. Furthermore, some authors highlight the greening of Christianity due to the commitment of churches to biodiversity conservation and the development of gardens or green spaces.
Moreover, according to the Central Office of Ecclesiastical Statistics of the Vatican, 49.6% of the Congolese population are Catholics [41]. This shows the majority presence of Catholic religious’ confessions compared to other confessions in the country, motivating the particular interest that this study has in these Catholic confessions. Additionally, beyond recognizing the disciplined application and maintenance of these confessions in managing their concessions, including green management, the floristic importance of the vegetation they host remains very little known and documented.
To contribute to a better understanding of the flora hosted by Catholic religious’ groups (CRGs) in DRC cities, this study focused on evaluating the biodiversity structure of CRGs in three major cities (Bukavu, Kisangani and Lubumbashi). These three cities were targeted due to the significant influence of Catholic groups in their history as well as in their socio-economic development and the opportunities for data mobilization in these cities [36]. The study in the three targeted cities revolves around the following hypotheses: plant diversity, in quantitative terms (number of species, families and genera) and qualitative terms (types of species, families, genera and life forms), is expected to be more similar among CRGs within the same city than between cities and would depend on the area of the CRGs. Indeed, green management is often greatly dictated by the availability of locally cultivated or planted vegetation, which in turn is dictated by the prevailing climate type and the dominant vegetation formation [42,43]. Furthermore, based on the potential effect of external species contributions, it is specifically expected that floristic diversity would be higher in Bukavu (a border city) compared to Lubumbashi (located 30 km from the border) and compared to Kisangani (an inland city), which would present the lowest diversity. Additionally, it is expected that the CRGs in each city would be characterized by the dominance of a few species, genera and families that would be found in the majority of CRGs within the same city. Indeed, in garden management, the influence of nearby examples on the choice of species is demonstrated [44,45]. The CRGs in the cities mainly consist of exotic species, but the city of Kisangani would have the most native species due to its relative isolation. It is indeed recognized that the flora of cities is often predominantly exotic [46]. Regardless of the city, the CRGs contain species classified as endangered on the International Union for Conservation of Nature (IUCN) Red List, but a majority of species remain unassessed.

2. Materials and Methods

2.1. Study Area

The study is conducted in three cities of the Democratic Republic of the Congo, namely Bukavu in the South Kivu province, Kisangani in the Tshopo province, and Lubumbashi in the Haut-Katanga province (Figure 1).
These three cities have specific characteristics presented in Table 1. They are all colonial cities with historical names. This status as colonial cities highlights the significant role that Catholic religious’ groups have played and continue to play there [36].

2.2. Data Collection

Not having a complete list of religious group concessions in the studied cities, a reasoned sample based on accessibility, abundance and the presence of vegetation was surveyed during the periods of full vegetation from 2023 to 2024, with prior authorization from site managers and with the assistance of a group of master’s level researchers. This involved 20 Concessions held by catholic Religious’ Groups (CRGs) in the city of Bukavu, 40 in Kisangani and 10 in Lubumbashi (Table 2).
The collected data consisted first of determining the extent of the concession, either in the field or via Google Earth, and second, systematically recording all plant species present by conducting a full-turn of each CRG. This process is justified by the fact that the vegetation of CRGs does not often occupy large continuous areas that would allow for the establishment of inventory plots [51,52].
The names of the inventoried species were subsequently verified while determining their family and origin status (exotic or native) in the available databases, notably the “African Plants Database,” “International Plant Names Index (IPNI),” and “The Plant List” websites. Similarly, the life forms of the identified species were established according to Raunkiaer’s definition [53], which takes into account the positioning of survival organs. Only the main categories were used, which provide some information on the stratification of vegetation and its persistence during unfavourable periods (such as the dry season): therophytes (Th), hemicryptophytes (Hem), geophytes (Ge), chamaephytes (Ch), epiphytes (Epi), and phanerophytes (Ph). Furthermore, the species conservation status was determined using the International Union for Conservation of Nature (IUCN) Red List database [54]. The observed statuses are extinct (EX), extinct in the wild (EW), critically endangered (CR), endangered (EN), vulnerable (VU), near threatened (NT), least concern (LC), data deficient (DD), and not applicable (NA).

2.3. Data Analysis

The collected data allowed for a quantitative analysis of the extent and plant composition, as well as the biological spectrum or distribution of life forms of the species, through the determination of average and total values of species richness, diversity, or the number of families and genera at the scale of the CRGs and the studied cities. Due to the non-normality of the data, the CRGs of the cities were compared through non-parametric analyses based on Dunn’s test for mean comparison, preceded by the Kruskal-Wallis test in Rstudio [55]. The same analysis was also applied to the area of the CRGs. The relationship between the latter and the aforementioned plant composition parameters was explored through Pearson correlation tests, also in Rstudio. Furthermore, the variations in the distribution of life forms of plant species in the CRGs between the studied cities were examined using Fisher’s exact test, which is advantageous for small samples [56]. The dominant families and genera in the different cities were determined by relative dominance, which consists of the ratio between the number of identified species of the corresponding taxon and the total species richness of the city.
The analysis of similarity between the CRGs of the same city (intra-city similarity) based on presence-absence data of the identified species, families and genera was conducted in Rstudio through Ascending Hierarchical Classification on Multiple Correspondence Analysis using the Factoshiny package [57]. This same package also allowed for Multiple Correspondence Analysis on the presence-absence data of species, families and genera to analyse the similarity between the three cities (inter-city similarity). Additionally, the relative occurrence frequencies of each taxonomic level in the CRGs were determined for each city to better highlight similarities and differences.
Based on data on the conservation status and origins of plant species from all the CRGs of each studied city, the absolute numbers of each category were determined. Subsequently, Fisher’s exact tests were performed to verify the existence of a link between the distribution of species status and the city.

3. Results

3.1. Quantification of the Plant Composition and Biological Spectrum of Concessions Held by Catholic Religious’ Groups in the Studied Cities and the Effect of Their Areas

A total of 220 plant species corresponding to 76 families and 185 genera (Appendix 1) was identified across the CRGs of the three studied cities. The results of the mean comparison analysis (Table 3) show that the CRGs of Bukavu and Kisangani are not statistically different in terms of average species richness, average family diversity, and average genus diversity. In contrast, the CRGs of the city of Lubumbashi stand out with statistically higher values, 2 to 3 times more, for the same parameters compared to the other two cities.
Consequently, the city of Lubumbashi presents the highest total species richness (152 species compared to 67 in Kisangani and 24 in Bukavu), as well as the highest family diversity (60 families compared to 36 in Kisangani and 15 in Bukavu) and the highest genus diversity (137 genera compared to 56 in Kisangani and 22 in Bukavu). Furthermore, within the same city, the high standard deviation values, regardless of the city, suggest a low intra-city homogeneity among the CRGs for the concerned parameters.
Moreover, the mean comparison analysis on the area of the CRGs shows that the area of the CRGs in Lubumbashi (1.1 ha) is on average smaller than those in Bukavu (3.7 ha) and Kisangani (5.2 ha). However, the latter two are not statistically different. Beyond this, the results of the correlation analyses reveal that there is no significant relationship between CRG area and their diversity in species (t = -0.63189, df = 68, p-value = 0.5296), families (t = -0.72088, df = 68, p-value = 0.4735) and genera (t = -0.65989, df = 68, p-value = 0.5116).
Regarding the biological spectrum of the CRGs, it was revealed by Fisher’s exact test that it depends on the city considered. Although in each of the three cities, the biological spectrum is dominated by phanerophytes, that of Lubumbashi is the widest with 5 life forms present compared to 2 in Bukavu and 1 in Kisangani (Figure 2).
Considering the top three values of the dominance index of the families and genera comprising the species of the CRGs in each of the cities (Table 4), it appears that the dominant families and genera are relatively different from one city to another. In Bukavu, the Bigoniaceae, Fabaceae, and Rutaceae are the families with the highest relative dominance (RD) (12.5% each), and the genus Citrus has the highest RD (12.5%). In Kisangani, the taxa with the highest RDs are the Fabaceae family (15.3%) and the genera Acacia and Citrus (5.6%). In contrast, in Lubumbashi, the taxa with the highest RDs are the Araceae family (8.6%) and the genera Cyperus and Euphorbia (2%).

3.2. Comparative Plant Composition Between Concessions Held by Catholic Religious’ Groups and Studied Cities

The results of intra-city similarity analyses in terms of plant composition through hierarchical classifications (Figure 3, Figure 4, and Figure 5) reveal that, regardless of the taxonomic level considered (species, family or genus), only the CRGs of Kisangani are predominantly similar (40 CRGs classified into three groups, one of which contains 38 CRGs regardless of the taxon). Those of Lubumbashi are less similar (10 CRGs classified into 5 groups regardless of the taxon), and those of Bukavu are even less so (20 CRGs classified into 10 groups for species composition, and into 7 groups for family and genus composition).
Furthermore, the results of multiple correspondence analysis (Figure 6) indicate that, regardless of the taxonomic level considered, the inter-city similarity regarding the plant composition of the CRGs is low. More specifically, the cities of Bukavu and Kisangani, although relatively dissimilar, share more taxa in common with each other compared to Lubumbashi, which is still very dissimilar to them.
The examination of the species, families and genera with the three highest relative frequencies per city (Table 5) clearly shows that, regardless of the taxon, the situation varies from one city to another

3.3. Distribution of the Vegetation of the CRGs in the Studied Cities According to Their Origin and Conservation Status

The results of the independence tests applied to the distribution of origin and conservation status of species across the cities reveal that the distribution of status depends on the cities (Figure 7 and Figure 8). Indeed, regarding the origin status of the species, although all cities are characterized by a majority of exotic species, Bukavu stands out due to the absence of native species, while Kisangani and Lubumbashi present 4 and 1 native species, respectively.
In relation to conservation status, the status LC, NA, and DD are in the majority regardless of the city. Bukavu is notable for having only one species classified as CR (Leucaena leucocephala (Lam.) De Wit, 1961). On the other hand, Kisangani has the highest number of species in the high-threat categories, including 1 species classified as CR (Leucaena leucocephala (Lam.) De Wit, 1961); 4 species classified as EN (Autranella congolensis (De Wild.) A. Chev.; Coffea arabica L., 1753; Millettia laurentii De Wild; and Tectona grandis L.f., 1782) and 2 species classified as NT (Artocarpus camansi Blanco, 1837 and Milicia excelsa (Welw.) C.C.Berg, 1982). The city of Lubumbashi, for its part, presents 2 species classified as CR (Hyophorbe lagenicaulis (L.H.Bailey) H.E.Moore, 1976 and Leucaena leucocephala (Lam.) De Wit, 1961), 2 species classified as EN (Coffea arabica L., 1753 and Kalanchoe daigremontiana Raym.-Hamet & H.Perrier, 1914), and 1 species classified as NT (Dypsis lutescens (H.Wendl.) Beentje & J.Dransf., 1995).
Figure 8. Distribution of plant species conservation status for the CRGs of each of the three cities studied, according to the IUCN Red List. The values represent the absolute number of species identified in all CRGs per city. The result of the Fisher test reveals that the distribution of conservation status depends on the city.
Figure 8. Distribution of plant species conservation status for the CRGs of each of the three cities studied, according to the IUCN Red List. The values represent the absolute number of species identified in all CRGs per city. The result of the Fisher test reveals that the distribution of conservation status depends on the city.
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4. Discussion

4.1. Discussion of the Methodological Approach

The study was based on a systematic floristic inventory of the vegetation present in the concessions held by catholic Religious’ Groups (CRGs). This approach was necessitated by the nature of the areas to be inventoried, which are of the garden type, i.e. they consist of discontinuous areas within the CRGs containing both low and high vegetation. This full-turn inventory approach is not new; it is most often used to study gardens. [58,59,60].
Moreover, the samples of CRGs surveyed by city are not equal, which may call into question the comparisons made. The size of the samples in each city was dictated by the accessibility and abundance of CRGs. However, due to the lack of a complete list of CRGs in the cities, it remains difficult to assert the full representativeness of the sample. The reliability of the comparisons was ensured by preferring non-parametric analyses suitable for all sample sizes. Additionally, it was found that plant diversity does not depend on the surveyed area. Furthermore, contrary to expectations, the city of Lubumbashi, which has the smallest sample, is where the highest number of species was recorded (Table 3).

4.2. The Near Heterogeneity Intra and Inter City in the Plant Composition of CRGs

The various results obtained allow us to refute the hypothesis of similarity among CRGs within the same city. Indeed, apart from the city of Kisangani, which showed a relatively strong similarity in the composition of CRGs in terms of species types, families, and genera, there was a low similarity for all other characteristics of the plant composition of CRGs within the same city and across all three studied cities. The openness of the cities of Bukavu and Lubumbashi to the country and the world, due to their easy accessibility and proximity to borders, allows for the introduction of a diversity of species and variation in green spaces influenced by contact with a variety of gardens. Several studies on the determinants of gardening practices indeed highlight the significant role of contact with nature and lived experiences [44,61,62].
Regarding the hypothesis of inter-city dissimilarity, our results confirm it. Indeed, even though in quantitative terms (average number of species, families and genera and average area of CRGs), the cities of Bukavu and Kisangani are similar, they are less so in all other aspects of plant composition considered, and even less so with the city of Lubumbashi. While some studies report similarities between private gardens in different regions of the same country, as is the case in Bangladesh [63], this is not necessarily true in the Democratic Republic of Congo (DRC). The marked climatic and environmental differences between regions in the DRC may be an important explanatory factor [64]. In this specific case, the particularity of the city of Lubumbashi compared to the other two cities reinforces the idea of the significant effect of climatic differences. The choice of species in CRGs would therefore be more influenced by climatic conditions favourable to the development of a given flora than by religious preferences.
The confirmation of intra and inter-city dissimilarity also allows us to deduce that the common Catholic belief among the compared entities does not evidently have a homogenizing effect on the green arrangements of CRGs, at least in terms of plant composition. These results underline facts noted by other authors, notably the complexity of interactions between human and nature, which vary according to individuals, regions, traditions and cultures. [65,66,67,68].
The observed independence between plant diversity and the area of CRGs, regardless of the city, is not the systematic outcome expected. It is often anticipated that species richness increases with area [69,70]. As is often the case in garden design, it’s possible to grow several species in a very small space, especially when it comes to herbaceous plants. This also explains how cities that cover only a small proportion of the Earth’s surface can host rich biodiversity [61]. Consequently, even the smallest identifiable green space is important and must be taken into consideration in the context of biodiversity conservation, particularly in urban environments.
Furthermore, the marked dominance of phanerophytes in the plant composition of CRGs across all cities corroborates its expected dominance under tropical climates [71]. This dominance is also linked to the general conditions favourable to forest vegetation in the landscapes where the studied cities are located [72]. The same applies to the dominant taxa (species, families, and genera) in each city. This dominance of phanerophytes also indicates a preference in CRGs for tall and perennial vegetation, which is less demanding in terms of maintenance effort. This contrasts with the results of a recent study on the floristic composition of private gardens in Lubumbashi, which noted the dominance of herbaceous, thus low vegetation [31].

4.3. The Importance of Phyto-Biodiversity Hosted by CRGs

The total CRGs in the studied cities host a total of 220 species. This species richness is close to that reported for private gardens in Lubumbashi (232 species)[31] and the city of Amman (223 species), the capital of Jordan in the Middle East [33]. However, it is high, compared to the species richness reported (103 species) for private gardens in the cities of Ouidah and Cotonou in Benin [52] and low, compared to that reported for the city of Tlokwe in South Africa (835 species) [32]. The species richness of biodiversity in cities is therefore variable and strongly depends on local gardening dynamics.
The analysis of the origin status of the species reveals that the majority of species are exotic, regardless of the city. This is a phenomenon observed in several other cities [32,33,52]. The city of Kisangani has the most native species, with 4 species. This confirms our hypothesis in this regard and aligns with the conclusions of studies on urban biodiversity in tropical countries [46]. Although exotic species include several acclimatized species, it clearly highlights the challenge of promoting native species. Indeed, the introduction or promotion of exotic species carries potential risks of invasion and thus threatens local phytogenetic diversity [32].
Moreover, it has been confirmed that CRGs contain species classified as threatened on the IUCN Red List. Indeed, this is one of the contributions to biodiversity conservation in private gardens highlighted by several authors [65,73,74]. The presence of a large majority of non-assessed species in GCRs further underlines their importance as biodiversity reservoirs.

4.4. Implications for Urban Biodiversity Management and Research Perspectives

This study focused on a specific private actor, namely Catholic groups, and the rich biodiversity revealed, confirms the importance of considering the role of private actors in urban biodiversity conservation. The study reinforces the idea of the city as a reservoir of biodiversity [16,69]. Unlike rural landscapes, urban biodiversity is scattered over disparate areas and is maintained by a variety of actors. It is therefore essential to keep in mind this diversity of actors and spaces when inventorying urban biodiversity.
The dominance of exotic species calls for raising awareness among stakeholders about the preference for native species. The positive effects of promoting native species in cities are indeed well documented [16]. Developing catalogs of native species and documenting their potential for green spaces would be a beneficial incentive approach to reverse current trends.
Furthermore, the comparisons made in this study focused solely on the affiliation of sites to a Catholic religious group due to the limitation of data collected from this single perspective. It could be considered, following a more extensive and resource-intensive data collection, to explore comparative perspectives related to the nature of activities held in Concessions held by catholic Religious’ Groups (CRGs) and other types of religious groups present in the country, such as Methodists, Protestants, and Kimbanguists. A better appreciation of the contribution of CRGs to biodiversity conservation could be envisaged through subsequent comparative analyses with public green spaces or other private actors.

5. Conclusions

This study aimed to assess the plant biodiversity maintained in the CRGs of three cities (Bukavu, Kisangani and Lubumbashi) through systematic inventories. The study confirms the hypothesis of low inter-city similarity in terms of CRGs flora and, to a lesser extent, intra-city similarity, with only the CRGs of Kisangani being the most similar to each other. It also appears that there is no relationship between the CGRs area and their specific richness and that exotic species are predominant.
A total of 220 plant species corresponding to 76 families and 185 genera were identified across all cities. Each city is characterized by the plant composition of its CRGs, and outside of Kisangani, where intra-city similarity of CRGs is stronger, the other two cities show greater intra-city dissimilarity among CRGs. The plant diversity and the presence of endangered species in CRGs highlight their importance in biodiversity conservation. However, the predominance of exotic species calls for the promotion of native species.
This study reinforces and illustrates the importance of private actors in urban biodiversity conservation and opens a pathway for investigation for various identifiable private actors.

Author Contributions

Conceptualization, L.M.P. and K.R.S.; methodology, L.M.P. and K.R.S.; software, L.M.P.; validation, K.R.S., Y.U.S. and J.B.; formal analysis, L.M.P. and K.R.S.; investigation, L.M.P., ABN, JMT, Y.U.S; J.P.P.M.T.H. resources, SMM, DP, JMT, Y.U.S. and J.P.P.M.T.H.; data curation, L.M.P.; D.P.; writing—original draft preparation, L.M.P., S.M.M. JBB, and K.R.S.; writing—review and editing, L.M.P., K.R.S., Y.U.S., J.B. and K.R.S.; visualization, L.M.P. and K.R.S.; supervision, K.R.S., JM, JFB, Y.U.S. and J.B.; project administration, J.B.; funding acquisition, L.M.P. and J.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Académie de Recherche pour l’Enseignement Supérieur (ARES–CCD, Belgium), B-MOB scholarship program of Liège University.

Institutional Review Board Statement

Ethical review and approval were waived for this study due to this reason: the study does not affect human health or well-being of human.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available upon request from the corresponding author.

Acknowledgments

The authors would like to thank all the field interviewers who contributed to the data collection.

Conflicts of Interest

The authors declare no conflicts of interest.

Appendix A

Appendix A.1

Table A1. List of species inventoried in the concessions of Catholic religious groups in three cities (Bukavu, Kisangani, Lubumbashi) of the Democratic Republic of Congo (DRC). - = absent from town; + = present in town, Ex = Exotic, Na = Native.
Table A1. List of species inventoried in the concessions of Catholic religious groups in three cities (Bukavu, Kisangani, Lubumbashi) of the Democratic Republic of Congo (DRC). - = absent from town; + = present in town, Ex = Exotic, Na = Native.
Scientific name Family Conservation status Life form Origin status Bukavu Kisangani Lubumbashi
1 Acacia auriculiformis A.Cunn. ex Benth., 1842 Fabaceae LC Ph Ex - + -
2 Acacia nilotica (L.) Willd. ex Delile Fabaceae LC Ph Ex - - -
3 Acalypha wilkesiana Müll.Arg., 1866 Euphorbiaceae NA Ph Ex - - +
4 Agave americana L. Asparagaceae LC Ch Ex - - +
5 Agave attenuata Salm-Dyck, (1834 Asparagaceae NA Ch Ex - - +
6 Aglaonema commutatum Schott, 1856 Araceae NA Hem Ex - - +
7 Albizia chinensis (Osbeck) Merr., 1916 Fabaceae NA Ph Ex - + -
8 Albizia gummifera (J.F.Gmel.) C.A.Sm., 1930 Mimosaceae LC Ph Ex - + -
9 Albizia julibrissin Durazz., 1772 Fabaceae NA Ph Ex - + -
10 Alocasia macrorrhizos (L.) G.Don, 1839 Araceae NA Ge Ex - - +
11 Aloe arborescens Mill., 1768 Asphodelaceae LC Ge Ex - - +
12 Aloe vera (L.) Burm.f., 1768 Asphodelaceae NA Ge Ex - - +
13 Alternanthera brasiliana (L.) Kuntze, 1891 Amaranthaceae NA Ph Ex - - +
14 Amaranthus hybridus L., 1753 Amaranthaceae NA Ch Ex - - +
15 Annona muricata L., 1753 Annonaceae LC Ph Ex - - +
16 Annona senegalensis Pers., 1806 Annonaceae LC Ph Ex - + -
17 Anonidium mannii (Oliv.) Engler & Diels , 1901 Annonaceae LC Ph Ex - + -
18 Anthocleista schweinfurthii Gilg, 1893 Loganiaceae LC Ph Ex - + -
19 Antigonon leptopus Hook. & Arn., 1838 Polygonaceae NA Ch Ex - - +
20 Araucaria cunninghamii Aiton ex D. Don,1837 Araucariaceae LC Ph Ex - - +
21 Archontophoenix alexandrae H.Wendl. & Drude, 1875 Arecaceae LC Ph Ex - - +
22 Aristaloe aristata Adrian Hardy Haworth, 1825 Xanthorrhoeaceae NA Ge Ex - - +
23 Artocarpus altilis (Parkinson) Fosberg, 1941 Moraceae NA Ph Ex - + -
24 Artocarpus camansi Blanco, 1837 Moraceae NT Ph Ex - + -
25 Artocarpus heterophyllus Lam., 1789 Moraceae NA Ph Ex - - +
26 Aspidistra elatior Blume, 1834 Asparagaceae NA Ph Ex - - +
27 Asplenium nidus L., 1753 Aspleniaceae NA Hem Ex - - +
28 Autranella congolensis (De Wild.) A. Chev. Sapotaceae EN Ph Na - + -
29 Averrhoa carambola L., 1753 Oxalidaceae DD Ph Ex - + -
30 Bambusa vulgaris Schrad. ex J.C.Wendl., 1810 Poaceae NA Ph Ex + - +
31 Bauhinia variegata Carl von Linné, également connu sous le nom de Carl Linnaeus, 1753 Fabaceae LC Ph Ex - - +
32 Begonia rex Jules Antoine Adolph Henri Putzeys, 1856 Begoniaceae NA Epi Ex - - +
33 Bellucia pentamera Naudin Melastomataceae LC Ph Ex - + -
34 Borassus flabellifer L., 1977 Arecaceae NA Ph Ex - - +
35 Bougainvillea glabra Philibert Commerson, 1760 Nyctaginaceae LC Ph Ex - - +
36 Breynia disticha J.R.Forst. & G.Forst., 1775 Euphorbiaceae NA Ph Ex - - +
37 Caladium bicolor (Aiton) Vent., 1801 Araceae NA Ch Ex - - +
38 Callistemon citrinus (Curtis) Skeels, 1913 Myrtaceae NA Ph Ex - - +
39 Callistemon viminalis (Sol. ex Gaertn.) G.Don, 1830 Myrtaceae NA Ph Ex - - +
40 Cananga odorata Albert Schwenger, 1860 Annonaceae LC Ph Ex - + -
41 Canna indica L., 1753 Cannaceae NA Ph Ex - - +
42 Carica papaya L., 1753 Caricaceae DD Ph Ex + + +
43 Cascabela thevetia (Pers.) K. Schum,1895 Apocynaceae LC Ph Ex - - +
44 Casimiroa edulis La Llave & Lex, 1825 Rutaceae LC Ph Ex - - +
45 Cassia siamea ( Lam.) H.S.Irwin & Barneby, 1982 Fabaceae LC Ph Ex - + -
46 Catharanthus roseus (L.) G.Don, 1837 Apocynaceae NA Ph Ex - - +
47 Celosia cristata L., 1753 Amaranthaceae LC Ph Ex - - +
48 Cestrum nocturnum L., 1753 Solanaceae LC Ph Ex - - +
49 Chamaedorea cataractarum Mart., 1849 Arecaceae NA Ph Ex - - +
50 Chamaerops humilis L., 1753 Arecaceae LC Ph Ex - - +
51 Chelidonium majus L., 1753 Papaveraceae NA Ph Ex - - +
52 Chlorophytum comosum Jacques, 1862 Asparagaceae NA Hem Ex - - +
53 Citrus aurantium L., 1753 Rutaceae NA Ph Ex - - +
54 Citrus limon (L.) Osbeck, 1765 Rutaceae NA Ph Ex + + +
55 Citrus maxima (Burm.) Merrill, 1917 Rutaceae NA Ph Ex + + -
56 Citrus reticulata Blanco, 1837 Rutaceae NA Ph Ex - + -
57 Citrus sinensis (L.) Osbeck, 1765 Rutaceae NA Ph Ex + + -
58 Clerodendrum thomsoniae Balf., 1862 Lamiaceae NA Ph Ex - - +
59 Clivia miniata William J. Burchell en 1815 Amaryllidaceae NA Ph Ex - - +
60 Cocos nucifera L., 1753 Arecaceae NA Ph Ex - + -
61 Codiaeum variegatum (L.) Rumph. ex A.Juss., 1824 Euphorbiaceae LC Ph Ex - - +
62 Coffea arabica L., 1753 Rubiaceae EN Ph Ex - + +
63 Cola acuminata (P.Beauv.) Schott & Endl., 1832 Malvaceae LC Ph Ex - + -
64 Coleus amboinicus Lour., 1790 Lamiaceae NA Ph Ex - - +
65 Coleus scutellarioides (L.) Benth., 1830 Lamiaceae NA Ph Ex - - +
66 Colocasia esculenta (L.) Schott, 1832 Araceae LC Ph Ex - - +
67 Cordyline fruticosa (L.) A.Chev., 1919 Asparagaceae LC Ph Ex - - +
68 Cornus drummondii C.A.Mey., 1845 Cornaceae LC Ph Ex - - +
69 Cupaniopsis anacardioides (A.Rich.) Radlk., 1879 Sapindaceae LC Ph Ex - - +
70 Cuphea hyssopifolia Kunth, 1823 Lythraceae NA Ph Ex - - +
71 Cupressus macrocarpa Hartw., 1847 Cyperaceae NA Ph Ex - - +
72 Cycas revoluta Carl Peter Thunberg, 1782 Cycadaceae NA Ph Ex - - +
73 Cyperus alternifolius Carl von Linné, 1767 Cyperaceae NA Ph Ex - - +
74 Cyperus esculentus L., 1753 Cyperaceae NA Ph Ex - - +
75 Cyperus papyrus Linné, 1753 Cyperaceae NA Ge Ex - - +
76 Dacryodes edulis [G.Don] H.J.Lam, 1832 Burseraceae NA Ph Ex - + -
77 Dianella ensifolia (L.) Redouté, 1802 Asphodelaceae NA Ph Ex - - +
78 Dieffenbachia seguine (Jacq.) Schott, 1829 Araceae NA Ph Ex - - +
79 Dillenia indica (L.), 1753 Dilleniaceae LC Ph Ex - - +
80 Dodonaea viscosa Jacq., 1760 Sapindaceae LC Ph Ex - - +
81 Dracaena fragrans (L.) Ker Gawl., 1808 Asparagaceae LC Ph Ex - - +
82 Dracaena reflexa Lam., 1786 Asparagaceae NA Ph Ex - - +
83 Duranta erecta L., 1753 Verbenaceae LC Ph Ex - - +
84 Dypsis lutescens (H.Wendl.) Beentje & J.Dransf., 1995 Arecaceae NT Ph Ex - - +
85 Elaeis guineensis Jacq., 1763 Arecaceae LC Ph Ex + + +
86 Entandrophragma candollei Harms, 1896 Meliaceae VU Ph Ex - + -
87 Epipremnum aureum (Linden & André) Bunting, 1964 Araceae NA Ch Ex - - +
88 Erythrina abyssinica Lam. ex DC., 1825 Fabaceae NA Ph Ex + - -
89 Eucalyptus globulus Labill., 1800 Myrtaceae LC Ph Ex + - -
90 Eucharis amazonica Linden ex Planch., 1857 Liliaceae NA Ge Ex - - +
91 Euphorbia cotinifolia L., 1753 Euphorbiaceae NA Ph Ex - - +
92 Euphorbia resinifera O.Berg, 1863 Euphorbiaceae NA Ph Ex - - +
93 Euphorbia royleana E. Ursch et J. D. Léandri, 1954 Euphorbiaceae NA Ph Ex - - +
94 Ficus benjamina L., 1767 Moraceae LC Ph Ex - - +
95 Ficus mucuso Welw. ex Ficalho, 1884 Moraceae LC Ph Ex - + -
96 Ficus vallis-choudae Delile, 1843 Marantaceae NA Ph Ex - + -
97 Fragaria vesca L., 1753 Rosaceae LC Ch Ex - - +
98 Goeppertia makoyana (É.Morren) Borchs. & S.Suárez, 2012 Marantaceae NA Ch Ex - - +
99 Goeppertia zebrina (Sims) Nees, 1831 Marantaceae NA Ph Ex - - +
100 Graptophyllum balansae Heine, 1976 Acanthaceae NA Ph Ex - - +
101 Grevillea robusta A.Cunn. ex R.Br., 1830 Proteaceae LC Ph Ex + + -
102 Harungana madagascariensis Lam. ex Poir., 1804 Hypericaceae LC Ph Ex - + -
103 Hemerocallis fulva (L.) L., 1762 Asphodelaceae NA Ph Ex - - +
104 Hevea brasiliensis (Willd. ex A.Juss.) Mull.Arg., 1865 Euphorbiaceae LC Ph Ex - + -
105 Hibiscus rosa-sinensis L., 1753 Malvaceae NA Ph Ex - - +
106 Hibiscus tiliaceus L., 1753 Malvaceae NA Ph Ex - + -
107 Hydrocotyle verticillata Thunb., 1798 Araliaceae LC Ge Ex - - +
108 Hymenocallis littoralis (Jacq.) Salisb., 1812 Amaryllidaceae NA Ph Ex - - +
109 Hyophorbe lagenicaulis (L.H.Bailey) H.E.Moore, 1976 Arecaceae CR Ph Ex - - +
110 Ipomoea indica (Burm.) Merr., 1917 Convolvulaceae DD Ph Ex - - +
111 Iresine diffusa Humb. & Bonpl. ex Willd., 1806 Amaranthaceae NA Ph Ex - - +
112 Iris pseudacorus L., 1753 Iridaceae LC Ph Ex - - +
113 Jacaranda mimosifolia D.Don, 1822 Bignoniaceae VU Ph Ex + - -
114 Kalanchoe daigremontiana Raym.-Hamet & H.Perrier, 1914 Crassulaceae EN Ph Ex - - +
115 Lagerstroemia indica L., 1759 Lythraceae LC Ph Ex - - +
116 Lannea discolor (Sond.) Engl., Anacardiaceae LC Ph Ex + - -
117 Lantana camara L., 1753 s.s. Verbenaceae NA Ph Ex - - +
118 Lavandula angustifolia Mill., 1768 Lamiaceae LC Ph Ex - - +
119 Leucaena leucocephala (Lam.) De Wit, 1961 Fabaceae CR Ph Ex + + +
120 Leucanthemum maximum (Ramond) DC., 1837 Asteraceae NA Ph Ex - - +
121 Ligustrum sinense Lour., 1790 Oleaceae NA Ph Ex - - +
122 Liriope muscari (Decne.) L.H.Bailey, 1929 Asparagaceae NA Ge Ex - - +
123 Livistona chinensis (Jacq.) R.Br. ex Mart., 1838 Arecaceae NA Ph Ex - - +
124 Malus domestica (Suckow) Borkh., 1803 Rosaceae NA Ph Ex + - -
125 Malvaviscus arboreus Cav., 1787 Malvaceae LC Ph Ex - - +
126 Mangifera indica L., 1753 Anacardiaceae DD Ph Ex + + +
127 Manihot esculenta Crantz, 1766 Euphorbiaceae DD Ph Ex - - +
128 Markhamia lutea (Benth.) K. Schum. Bignoniaceae LC Ph Ex + - -
129 Melissa officinalis L., 1753 Lamiaceae LC Ph Ex - - +
130 Milicia excelsa (Welw.) C.C.Berg, 1982 Moraceae NT Ph Ex - + -
131 Millettia laurentii De Wild Fabaceae EN Ph Ex - + -
132 Millettia novo-guineensis Kaneh. & Hatus. Fabaceae NA Ph Ex - + -
133 Monstera deliciosa, Liebn., 1849 Araceae NA Ph Ex - - +
134 Moringa oleifera Lam. Moringaceae LC Ph Ex + + -
135 Morus alba L., 1753 Moraceae NA Ph Ex - - +
136 Musa acuminata Colla, 1820 Musaceae LC Ph Ex - + +
137 Musa basjoo Siebold ex Iinuma, 1830 Musaceae LC Ph Ex - - +
138 Musanga cecropioides R. Br. ex Tedlie, 1819 Urticaceae LC Ph Ex - + -
139 Myrianthus arboreus P. Beauv., 1804-1805 Cecropiaceae LC Ph Na - + -
140 Nephrolepis cordifolia (L.) C.Presl, 1836 Nephrolepidaceae NA Ph Ex - - +
141 Nephrolepis exaltata (L.) Schott, 1834 Nephrolepidaceae LC Ph Ex - - +
142 Nerium oleander L., 1753 Apocynaceae LC Ph Ex - - +
143 Newbouldia laevis (P. Beauv.) Seem. Bignoniaceae LC Ph Ex - + -
144 Olea europaea L., 1753 Oleaceae DD Ph Ex + - -
145 Oxalis griffithii Edgew. & Hook.f. Oxalidaceae NA Ch Ex - - +
146 Passiflora edulis Sims, 1818 Passifloraceae NA Ph Ex - - +
147 Peltandra virginica (Linnaeus) Schott & Endlicher Araceae NA Ph Ex - - +
148 Peperomia obtusifolia (L.) A.Dietr., 1831 Piperaceae NA Ch Ex - - +
149 Persea americana Mill., 1768 Lauraceae NA Ph Ex + + +
150 Persicaria microcephala Seikei Zusetsu, 1804 Polygonaceae NA Ph Ex - - +
151 Petersianthus macrocarpus (P. Beauv.) Liben Lecythidaceae LC Ph Ex - + -
152 Petunia sp Wijsman, 1990 Solanaceae NA Ph Ex - - +
153 Phoenix canariensis Chabaud, 1882 Arecaceae LC Ph Ex - - +
154 Phyllostachys viridiglaucescens (Carrière) Rivière & C.Rivière, 1878 Poaceae NA Ph Ex - + -
155 Pinellia pedatisecta Schott Araceae NA Ph Ex - - +
156 Pinus patula Schltdl. & Cham., 1831 Pinaceae VU Ph Ex + - -
157 Pittosporum tobira (Murray) W. T. Aiton Pittosporaceae NA Ph Ex - - +
158 Plumeria rubra L., 1753 Apocynaceae LC Ph Ex - + +
159 Polyscias scutellaria (Burm.f.) Fosberg, 1948 Araliaceae NA Ph Ex - - +
160 Prunus caroliniana (Mill.) Aiton Rosaceae LC Ph Ex - - +
161 Prunus domestica L., 1753 Rosaceae DD Ph Ex + + -
162 Pseudospondias microcarpa (A. Rich.) Engl., 1883 Anacardiaceae LC Ph Ex - + -
163 Psidium guajava L., 1753 Myrtaceae LC Ph Ex + + +
164 Pteris vittata L., 1753 Pteridaceae LC Ph Ex - - +
165 Pycnanthus angolensis (Welw.) Warb. Notizbl. Königl. Bot. Gart, 1895 Myristicaceae LC Ph Na - + -
166 Ravenala madagascariensis Sonn., 1782 Strelitziaceae LC Ph Ex - - -
167 Ribes aureum Pursh, 1813 Grossulariaceae NA Ph Ex - + -
168 Ricinodendron heudelotii (Baill.) Pierre ex Heckel, 1898 Euphorbiaceae LC Ph Na - - +
169 Rosa multiflora Thunb., 1784 Rosaceae NA Ph Ex - - +
170 Rosa chinensis Jacq., 1768 Rosaceae NA Ph Ex - - +
171 Roystonea regia (Kunth) O.F.Cook, 1900 Arecaceae LC Ph Ex - + -
172 Rudbeckia laciniata L., 1753 Asteraceae NA Ph Ex - - +
173 Ruellia simplex C.Wright, 1870 Acanthaceae NA Ph Ex - - +
174 Sabal palmetto (Walter) Lodd. ex Schult. & Schult.f., 1830 Arecaceae NA Ph Ex - - +
175 Saccharum officinarum L., 1753 Poaceae NA Ph Ex - - +
176 Saintpaulia ionantha Rubra, 1896 Gesneriaceae VU Ge Ex - - +
177 Salix alba L., 1753 Salicaceae LC Ph Ex - - +
178 Sambucus canadensis L., 1753 Adoxaceae NA Ph Ex - - +
179 Sanchezia speciosa Leonard, 1926 Acanthaceae NA Ph Ex - - +
180 Sansevieria trifasciata Prain 1903 Asparagaceae NA Ge Ex - - +
181 Schefflera arboricola (Hayata) Merr. Araliaceae NA Ph Ex - - +
182 Senna occidentalis (L.) Link, 1829 Fabaceae LC Ph Ex - + -
183 Senna siamea (Lam.) H.S.Irwin & Barneby, 1982 Fabaceae LC Ph Ex + - -
184 Spathiphyllum wallisii Regel, 1877 Araceae NA Ph Ex - + -
185 Spathodea campanulata P.Beauv., 1805 Bignoniaceae LC Ph Ex - - +
186 Sphagneticola trilobata (L.) Pruski, 1996 Asteraceae NA Ch Ex + - -
187 Spondias dulcis Parkinson, 1773 Anacardiaceae NA Ph Ex - - +
188 Spondias mombin L., 1753 Anacardiaceae LC Ph Ex - + -
189 Strelitzia reginae Banks, 1788 Strelitziaceae NA Ph Ex - + -
190 Syagrus romanzoffiana (Cham.) Glassman, 1968 Arecaceae NA Ph Ex - - +
191 Symphyotrichum novi-belgii (L.) G.L.Nesom, 1995 Asteraceae NA Ph Ex - - +
192 Symphyotrichum salignum (Willd.) G.L.Nesom, 1995 Asteraceae NA Ph Ex - - +
193 Syngonium podophyllum Schott, 1851 Araceae NA Ph Ex - - +
194 Syzygium cumini (L.) Skeels, 1912 Lamiaceae NA Ph Ex - - +
195 Syzygium jambos (L.) Alston, 1931 Lamiaceae NA Ph Ex - + -
196 Syzygium manii (King) N. P. Balakrishnan Lamiaceae NA Ph Ex - + -
197 Tabernaemontana divaricata (L.) R.Br. ex Roem. & Schult., 1819 Apocynaceae NA Hem Ex - - +
198 Tagetes erecta L., 1753 Asteraceae NA Ch Ex - - +
199 Tectona grandis L.f., 1782 Lamiaceae EN Ph Ex - + -
200 Terminalia catappa L., 1767 Combretaceae LC Ph Ex + + +
201 Terminalia ivorensis A.Chev., 1909 Combretaceae VU Ph Ex - + -
202 Terminalia superba Engl. & Diels, 1899 Combretaceae NA Ph Ex - + -
203 Theobroma cacao L., 1753 Malvaceae NA Ph Ex - + -
204 Thyrsacanthus tubaeformis (Bertol.) Nees, 1847 Acanthaceae NA Ph Ex - - +
205 Tithonia diversifolia (Hemsl.) A.Gray, 1883 Asteraceae NA Ph Ex - - +
206 Tradescantia fluminensis Vell., 1829 Commelinaceae NA Ch Ex - - +
207 Tradescantia pallida (Rose) D.R.Hunt, 1976 Commelinaceae NA Ch Ex - - +
208 Tradescantia zebrina hort. ex Bosse, 1849 Commelinaceae NA Ph Ex - - +
209 Treculia africana Decne. ex Trécul Moraceae LC Ph Ex - + -
210 Uapaca esculenta A. Chev. ex Aubrév. & Leandri Phyllanthaceae LC Ph Ex - + -
211 Umbellularia californica (Hook. & Arn.) Nutt., 1842 Lauraceae LC Ph Ex - - +
212 Vachellia karroo (Hayne) Banfi & Galasso Fabaceae LC Ph Ex - + -
213 Vernonia amygdalina Delile Asteraceae NA Ph Na - + -
214 Vitex trifolia L., 1753 Lamiaceae NA Ph Ex - + -
215 Volkameria inermis L., 1753 Lamiaceae NA Ph Ex - - +
216 Yucca gigantea Lem., 1859 Asparagaceae DD Ph Ex - - +
217 Zamioculcas zamiifolia (Lodd.) Engl., 1905 Araceae NA Ph Ex - - +
218 Zantedeschia aethiopica (L.) Spreng., 1826 Araceae LC Ph Ex - - +
219 Zephyranthes longifolia Hemsl. Amaryllidaceae NA Ph Ex - - +
220 Zinnia elegans Jacq., 1792 Asteraceae NA Ph Ex - - +

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Figure 1. Location of the three cities studied in the Democratic Republic of Congo with the main types of vegetation: Bukavu in the province of Sout-Kivu, Kisangani in the province of Tshopo and Lubumbashi in the province of Haut-Katanga.
Figure 1. Location of the three cities studied in the Democratic Republic of Congo with the main types of vegetation: Bukavu in the province of Sout-Kivu, Kisangani in the province of Tshopo and Lubumbashi in the province of Haut-Katanga.
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Figure 2. Biological spectrum or distribution of life form numbers of plant species in all CRGs in each of the three cities studied. Values represent absolute numbers of species identified in all CRGs per city. The result of the Fisher test shows that there is a relationship between the biological spectrum and the city.
Figure 2. Biological spectrum or distribution of life form numbers of plant species in all CRGs in each of the three cities studied. Values represent absolute numbers of species identified in all CRGs per city. The result of the Fisher test shows that there is a relationship between the biological spectrum and the city.
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Figure 3. Results of a hierarchical ascending classification based on multiple correspondence analysis of the CRGs of each of the three cities studied on the basis of presence-absence data for the species identified.
Figure 3. Results of a hierarchical ascending classification based on multiple correspondence analysis of the CRGs of each of the three cities studied on the basis of presence-absence data for the species identified.
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Figure 4. Results of a hierarchical ascending classification based on multiple correspondence analysis of the CRGs of each of the three cities studied, based on the presence-absence data of the families identified.
Figure 4. Results of a hierarchical ascending classification based on multiple correspondence analysis of the CRGs of each of the three cities studied, based on the presence-absence data of the families identified.
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Figure 5. Results of ascending hierarchical classification on multiple correspondence analysis of CRGs in each of the three cities studied, based on presence-absence data for the genera identified.
Figure 5. Results of ascending hierarchical classification on multiple correspondence analysis of CRGs in each of the three cities studied, based on presence-absence data for the genera identified.
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Figure 6. Results of multiple correspondence analysis between the three cities studied on the basis of the composition of their CRGs in identified species, families and genera.
Figure 6. Results of multiple correspondence analysis between the three cities studied on the basis of the composition of their CRGs in identified species, families and genera.
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Figure 7. Distribution of the number of plant species in the CRGs of each of the three cities studied. The values represent the absolute number of species identified in the CRGs by city. The result of the Fisher test reveals that the distribution of origin status depends on the city.
Figure 7. Distribution of the number of plant species in the CRGs of each of the three cities studied. The values represent the absolute number of species identified in the CRGs by city. The result of the Fisher test reveals that the distribution of origin status depends on the city.
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Table 1. Characteristics of the three cities considered in the study [47,48,49,50].
Table 1. Characteristics of the three cities considered in the study [47,48,49,50].
City Old Name Location Number of Municipalities Area (km2) Population Size in 2024 (Inhabitants) Altitude Climate Type Annual Rainfall (mm/year) Mean Annual Temperature (°C) Dominant Soil Characteristic Plant Formation
Bukavu Costermansville 2°30’55’’ south latitude and 28°50’42’’ east longitude 3 municipalities: Kadutu, Ibanda and Bagira 60 1 012 053 Mean: 1.654 m
Min: 1.422 m
Maxi: 2.190 m
Tropical mountain climate (BWh)
Dry season: mid-May to mid-September
Rainy season: mid-September to mid-May
1500-2200 20,5 Andosols
(Volcanic, clayey, permeable soil belonging to the red clay soil group)
Mountain forest
Kisangani Stanleyville 0°31’ north latitude, 25°11’ east longitude 6 municipalities: Makiso, Tshopo, Mangobo, Kabondo Kisangani and Lubunga 1910 1 602 144 Mean: 415 m
Min: 378 m
Maxi: 503 m
Hot, humid equatorial climate (Af)
Two rainy seasons: September to November and March to May
Long dry season: January
Short dry season: July to August
1500 - 2000 25 Ferrasols
(Mostly sandy-clay soils)
Dense rainforest
Lubumbashi Elisabethville 27°48’61’’1 East longitude, 11° 61’55 3’’ South latitude 7 municipalities:
Lubumbashi, Kenya, Kampemba, Katuba, Kamalondo, Ruashi and Annexe
747 2 096 961 Mean: 1259 m
Mini: 1167 m
Maxi: 1411 m
CW6 climate
Rainy season: November
Dry season: May to September to March
Transition months: April and October
1200 20 Ferrasols
(Ferralitic soils mostly represented by young and red soils)
miombo forest
Table 2. List of CRGs surveyed by city and coding used.
Table 2. List of CRGs surveyed by city and coding used.
CRG’s code CRG’s name Area (ha)
Lubumbashi
CRGL1 Convent of Saint Paul Parish 0.11
CRGL2 Theological Institute - Chaplains of Work 0.32
CRGL3 Tabora University Cultural Center 0.17
CRGL4 Theologicum 1.25
CRGL5 Provincial House of the Franciscans 0.2
CRGL6 Tertiary Capuchin Sisters - Nazareth Homes 0.15
CRGL7 Scholasticate - Chaplains of Work 0.15
CRGL8 Laura House 8.32
CRGL9 Carmelite Sisters 0.58
CRGL10 Mercedarian Missionaries 0.19
Bukavu
CRGB1 Bukavu Amani Center 0.51
CRGB2 Kasongo Procuracy 6.59
CRGB3 The Corniche 0.24
CRGB4 Xaverian Sisters 5.07
CRGB5 Missionaries of Africa 0.41
CRGB6 Cirezi High School 0.52
CRGB7 Cathedral of Our Lady of Bukavu 1.05
CRGB8 Solidarity 2.89
CRGB9 Saint Joseph Sisters 1.09
CRGB10 Father Vavassori Health Center 3.85
CRGB11 Saint John the Baptist Parish – Cahi 2.37
CRGB12 Antonella School 0.97
CRGB13 Holy Family Parish of Bagira 0.06
CRGB14 Nyakavogo High School 5.13
CRGB15 Nyakavogo Primary School 2.15
CRGB16 Catholic University of Bukavu Bugaboo 1.29
CRGB17 Saint Francis Xavier Parish - Kadutu 0.65
CRGB18 Fundi Maendeleo Technical Institute 14.38
CRGB19 Wima High School 19.71
CRGB20 General Economat 5.64
Kisangani
CRGK1 Kisangani Little Seminary of Mandombe 3
CRGK2 Saint Peter Parish 3
CRGK3 Saint Albert Chapel 2
CRGK4 Saint Martha Parish 8
CRGK5 Cathedral of Our Lady of the Most Holy Rosary 8
CRGK6 Father Dehonus Scholasticate 8
CRGK7 Simama Center 3
CRGK8 Servant Sisters of Jesus 10
CRGK9 Sisters of the Holy Family Mediatrix 1
CRGK10 Augustinian Sisters 1
CRGK11 Pastoral House of the Sacred Heart 10
CRGK12 Convent of the Priests of Mont Fortaint 3
CRGK13 Bel Vedere 25
CRGK14 Saint Gabriel Parish 4
CRGK15 Convent of the Priests of the Sacred Heart 2
CRGK16 Sisters of Jesus Educator Station Kis-Bondo 2
CRGK17 Canonical Sisters 3
CRGK18 Sisters Novitiate Holy Family 3
CRGK19 Saint Camille Parish 0.4
CRGK20 Josephites of Kinzambi 0.49
CRGK21 Sisters Holy Family Artisan 0.15
CRGK22 Marist Brothers 2
CRGK23 Formation House Scholasticate 2
CRGK24 Saint Augustine Major Seminary 1
CRGK25 Saint Lawrence Parish 4
CRGK26 Deo Soli/Scholasticate 0.25
CRGK27 Daughters of Wisdom 0.08
CRGK28 Sisters Immaculate Conception 7
CRGK29 Sisters Saint Joseph House 0.32
CRGK30 Saint John Parish 2.5
CRGK31 Blessed Isidore Bakanja Parish 0.49
CRGK32 Blessed Anuarité Parish 2
CRGK33 Deo Soli/Scholasticate 7th Plateau 0.25
CRGK34 Comboni House 0.49
CRGK35 Technical High School Mapendano 7
CRGK36 The Moinnaux 4
CRGK37 Mary Queen of Peace 49
CRGK38 Christ the King Parish 4
CRGK39 Saint Ignatius Parish 3
CRGK40 Saint Joseph Artisan Parish 20
Table 3. Results of Dunn’s tests for mean comparison following the Kruskal-Wallis test among the three studied cities (Bukavu, Kisangani, and Lubumbashi) for four characteristic parameters of the CRGs. n represents the total sample of CRGs surveyed by city. For the same parameter, values followed by the same letter (a or b) are considered not statistically different (p-value < 0.05). SD = standard deviation.
Table 3. Results of Dunn’s tests for mean comparison following the Kruskal-Wallis test among the three studied cities (Bukavu, Kisangani, and Lubumbashi) for four characteristic parameters of the CRGs. n represents the total sample of CRGs surveyed by city. For the same parameter, values followed by the same letter (a or b) are considered not statistically different (p-value < 0.05). SD = standard deviation.
Cities Specific Richness Number of Families Number of Genera Area (ha)
Mean SD Total Mean SD Total Mean SD Total Mean SD Total
Bukavu (n = 20) 9.2a 4.7 24 6.9a 3.0 15 8.7a 4.5 22 3.7a 5.0 74.6
Kisangani (n = 40) 12.1a 8.3 72 9.2a 5.1 36 11.5a 7.3 56 5.2a 8.7 209.4
Lubumbashi (n =10) 24.1b 10.8 152 17.9b 7.5 60 23.7b 10.6 137 1.1b 2.5 11.4
Table 4. Families and genera of the species making up the CRGs of the cities studied with the three highest relative dominance values (RD). RD here is the ratio of the number of species of the same family or genus to the total species richness (Rs). *The mention “all others” means that the rest of the complete list of the corresponding taxon has the same RD value in the corresponding city.
Table 4. Families and genera of the species making up the CRGs of the cities studied with the three highest relative dominance values (RD). RD here is the ratio of the number of species of the same family or genus to the total species richness (Rs). *The mention “all others” means that the rest of the complete list of the corresponding taxon has the same RD value in the corresponding city.
Cities Taxa Parameters
Family Relative Dominance
Bukavu (Rs = 24) Bignoniaceae 12.5%
Fabaceae 12.5%
Rutaceae 12.5%
Anacardiaceae 8.3%
Myrtaceae 8.3%
Rosaceae 8.3%
All others* 4.2%
Kisangani (Rs = 67) Fabaceae 15.3%
Moraceae 9.7%
Anacardiaceae 5.6%
Myrtaceae 5.6%
Rutaceae 5.6%
Lubumbashi (Rs = 152) Araceae 8.6%
Arecaceae 7.2%
Asparagaceae 6.6%
Genus Dominance relative
Bukavu (Rs = 24) Citrus 12.5%
All others* 4.2%
Kisangani (Rs = 67) Acacia 5.6%
Citrus 5.6%
Albizia 4.2%
Ficus 4.2%
Terminalia 4.2%
Lubumbashi (Rs = 152) Cyperus 2.0%
Euphorbia 2.0%
Tradescantia 2.0%
All others* 1.3%
Table 5. Taxa making up the CRGs of the cities surveyed with the three highest relative frequency values (Fr). Fr is the ratio of the number of CGRs in which the taxon is identified to the total number (n) of CRGs surveyed in the city.
Table 5. Taxa making up the CRGs of the cities surveyed with the three highest relative frequency values (Fr). Fr is the ratio of the number of CGRs in which the taxon is identified to the total number (n) of CRGs surveyed in the city.
Cities Taxa Parameters
Species Relative Frequence
Bukavu (n =20) Pinus patula Schltdl. & Cham., 1831 75.0%
Eucalyptus globulus Labill., 1800 70.0%
Citrus limon (L.) Osbeck, 1765 65.0%
Psidium guajava L., 1753 65.0%
Mangifera indica L., 1753 60.0%
Markhamia lutea (Benth.) K. Schum. 60.0%
Persea americana Mill., 1768 60.0%
Kisangani (n =40) Persea americana Mill., 1768 82.5%
Elaeis guineensis Jacq., 1763 75.0%
Mangifera indica L., 1753 67.5%
Lubumbashi (n=10) Cordyline fruticosa (L.) A.Chev., 1919 80.0%
Musa acuminata Colla, 1820 60.0%
Acalypha wilkesiana Müll.Arg., 1866 50.0%
Carica papaya L., 1753 50.0%
Citrus limon (L.) Osbeck, 1765 50.0%
Codiaeum variegatum (L.) Rumph. ex A.Juss., 1824 50.0%
Families Relative Frequence
Bukavu (n=20) Myrtaceae 90.0%
Anacardiaceae 75.0%
Bignoniaceae 75.0%
Pinaceae 75.0%
Rutaceae 65.0%
Kisangani (n =40) Arecaceae 85.0%
Lauraceae 82.5%
Fabaceae 77.5%
Lubumbashi Asparagaceae 100.0%
Arecaceae 90.0%
Euphorbiaceae 90.0%
Lamiaceae 80.0%
Genera Relative Frequence
Bukavu (n=20) Pinus 68.2%
Eucalyptus 63.6%
Citrus 59.1%
Psidium 59.1%
Kisangani (n =40) Persea 82.5%
Elaeis 75.0%
Mangirefa 67.5%
Lubumbashi (n=10) Cordyline 80.0%
Citrus 60.0%
Musa 60.0%
Acalypha 50.0%
Carica 50,0%
Codiaeum 50,0%
Dracaena 50,0%
Tradescantia 50,0%
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