UMYU Scientifica

A periodical of the Faculty of Natural and Applied Sciences, UMYU, Katsina

ISSN: 2955 – 1145 (print); 2955 – 1153 (online)

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ORIGINAL RESEARCH ARTICLE

Species Diversity, Conservation Status, and Ethnobotanical Significance of Medicinal Root Plants in Katsina State, Nigeria

Ibrahim Kabir*, Sulaiman Sani Kankara, Sani Mohammed Gidado, Wagini N.H

Department of Biological Sciences; Faculry of Natural and Applied Sciences, Umaru Musa Yar'adua University, PMB 2218 Katsina, Katsina State, Nigeria

*Correspondence Author's Email: Ibrahim Kabir [email protected]

Abstract

Medicinal root plants are central to traditional healthcare systems, yet information on their diversity, ethnobotanical uses, and conservation status in northern Nigeria remains limited. This study assessed species richness, evenness, ethnobotanical significance, and conservation status of medicinal root plants across six Local Government Areas (LGAs) in Katsina State, Nigeria. A mixed-methods approach was adopted, integrating ethnobotanical surveys of 240 respondents with ecological sampling from 150 quadrats. Plant diversity was evaluated using the Shannon–Wiener diversity index (H’) and Equitability (EH). Ethnomedicinal uses and conservation status were documented using standard criteria. Nineteen plant families were recorded, with Fabaceae being the most dominant (26.9%). Site A exhibited the highest species diversity (H’ = 3.7) and evenness (EH = 0.95). Medicinal roots were predominantly used for the treatment of malaria and gastrointestinal disorders. Most species were classified as Least Concern (LC), including Adansonia digitata and Parkia biglobosa. However, threatened taxa were identified, such as Khaya senegalensis (Vulnerable), Combretum glutinosum and Sclerocarya birrea (Endangered), and Borreria stachydea (Data Deficient). Rare plant families, notably Moraceae, were sparsely represented (0.17%). The findings highlight spatial variation in medicinal plant diversity and emphasize the continued reliance on root-based remedies in Katsina State. The presence of threatened and poorly documented species underscores the need for targeted conservation and sustainable harvesting strategies. This study contributes to global ethnomedicinal documentation efforts and supports earlier findings on medicinal plant use in the region.

Keywords: Ethnobotany, medicinal roots, biodiversity, distribution, Shannon index, Nigeria.

INTRODUCTION

Medicinal plants form the backbone of traditional healthcare in northern Nigeria, where plant roots are particularly valued for their therapeutic properties. Recent estimates suggest 70-80% of Katsina State's rural population depends on herbal remedies for primary healthcare needs (Kankara et al., 2020). Roots are frequently used due to their high concentrations of bioactive compounds, employed in treatments ranging from malaria to digestive disorders (Abdullahi et al., 2021). However, systematic documentation of these medicinal root species particularly their ecological distribution remains limited in Nigeria's savanna regions.

Katsina State's unique vegetation zone, transitional between Sudanian and Sahelian ecologies, hosts a distinct assemblage of medicinal flora. While ethnobotanical studies like those of (Kankara et al., 2020) have catalogued plant uses in the region, few have examined how species richness and evenness vary across different local government areas. This gap hinders understanding of ecological patterns that could inform sustainable harvesting practices and clarify plant community relationships in semi-arid environments.

This study bridges this knowledge gap by analyzing the diversity and distribution of medicinal root plants across six Katsina LGAs. Using quadrant-based ecological sampling and ethnobotanical surveys, we quantify species richness (Shannon-Weiner Index) and (Equitability Index) while documenting indigenous use cases. Our approach builds on earlier work but introduces rigorous spatial analysis of medicinal root distributions, offering new insights into their ecology in northern Nigeria's savannas.

METHODOLOGY

Study Area

Figure 1; Katsina State Map showing the Sampled Local Government Areas

Katsina State (Figure 1) (12°5'N, 7°6'E) spans 23,938 km² of Sudanian savanna (Rumah et al., 2010). Six LGAs were sampled:

- Katsina Central: Batagarawa, Kaita (Site A)

- Katsina North: Dutsi, Mani (Site B)

- Katsina South: Malumfashi, Dandume. (Site C).

Fieldwork combined ecological surveys with ethnobotanical interviews to document both plant distributions and traditional knowledge. For the ecological data collection, we used a quadrant sampling approach of Stohlgren et al. (1994) with plots (10m x 10m each), spaced 20 meters apart to ensure independent sampling (Figure 2). Within each plot, all plants with medicinal roots were counted, identified, and recorded. Local names and uses of these plants were gathered through structured interviews with 240 community members (40 respondents per LGA), including traditional healers, farmers, and elders knowledgeable about plant medicine.

Plant identification was done first through local names provided by respondents, then cross-checked with available botanical resources (Nicolson et al., 2023). To analyze the data, we calculated species diversity using the Shannon-Weiner Index (H') and evenness distribution using the Equitability Index (EH). These indices helped determine how many different species were present (richness) and how evenly they were spread across the sites (evenness). The ethnobotanical data were organised to show which plant families were most commonly used and their medicinal applications. This mixed approach allowed us to compare ecological patterns with traditional use, providing a full picture of medicinal root plants in the region.

Statistical analysis

Figure 2: Quadrants employed in the study Area.

The ethnobotanical data collected were organized in a Microsoft Excel spreadsheet.

The information of the respondents was evaluated using simple percentage.

The shannon diversity index or shannon weiner index (H’) and Shannon equitability index (EH) was employed to assess the diversity richness and evenness of species with medicinal root usage within the study area. The formula for calculating the (H’) is:

H= Σpi * ln(pi)

Where:

Σ: A Greek symbol that means “sum”

ln: Natural log

pi: The proportion of the entire community made up of species i

The higher the value of H, the higher the diversity of species in a particular community. The lower the value of H, the lower the diversity.

The value for H ranges between 1.5 and 4.5. The lower values indicate more diversity, while the higher values indicate less diversity.

Note: The value of the Shannon-Weaver diversity index may be higher than 1.5 to 3.5 and only rarely exceeds 4.5 (Shannon et al., 1949).

The formula for calculating the Shannon equitability index (EH) is:

EH = H / ln(N)

The value for EH ranges between 0 and 1 where 1 indicates complete evenness.

A higher index value indicates greater diversity with more evenly distributed species and lower values indicates less diversity.

RESULTS

Figure 3: Shannon-Weaver Index

The Shannon-Weaver Index suggests that higher values indicate higher diversity. This shows that, site A with a 3.7 index has the highest diversity among the three sites. Site C follows with a slightly higher index of 1.8, and site B has the lowest diversity at 1.6 as indicated in Figure 3 above. These values imply that site A has a more diverse ecological community compared to sites B and C, where higher Shannon-Weaver Index values indicate high diversity.

Figure 4: Shannon equitability index

Species evenness was observed to be the highest at Site A (EH = 0.95), as shown in Figure 4, suggesting a relatively balanced distribution of individuals across species. Such elevated evenness is generally correlated with moderate or low-intensity disturbances, which can mitigate competitive exclusion while preventing a few species from dominating the community. Conversely, Site C (EH = 0.46) and Site B (EH = 0.42) displayed significantly lower evenness, indicating community dominance by a restricted number of species. This trend is often associated with habitat alteration and human-induced disturbances, which modify resource availability and favour disturbance-tolerant or opportunistic species, consequently diminishing overall evenness (Bello et al., 2020).

These patterns reveal an important ecological trade-off: human activity either reduces total species numbers (lowering H') or creates uneven distributions (lowering EH), with only pristine areas like Site C maintaining both measures at moderate levels (Adedoja et al., 2023).

The exceptional dominance of Fabaceae (26.9%) and rarity of Moraceae (0.17%) further confirm how anthropogenic pressures reshape medicinal plant communities (Kankara et al., 2015).

Figure 5: Family Distribution of Plants

DISCUSSION

The Shannon–Wiener diversity index (Figure 3) indicated significant spatial variation in the structure of plant communities across the three sites. Site A exhibited the highest species diversity (H′ = 3.7), signifying a community that is both structurally complex and rich in species, which is characteristic of relatively stable Sudan Savannah ecosystems. In contrast, Site C demonstrated moderate diversity (H′ = 1.6), while Site B recorded the lowest diversity (H′ = 1.8), suggesting increasingly simplified plant assemblages. These variations imply a gradient of ecological conditions, likely influenced by differing climatic constraints and levels of anthropogenic disturbance.

Species evenness displayed a similar pattern. Site A achieved very high evenness (EH = 0.95), indicating a fair distribution of individuals across species. In contrast, Sites C (EH = 0.46) and B (EH = 0.42) showed diminished evenness, reflecting the dominance of a limited number of species and a reduction in community balance. Such patterns of dominance are typical of disturbed habitats where competitive or disturbance-tolerant species thrive.

The elevated diversity noted at Site A corresponds with established Shannon index values for Sudan Savannah ecosystems, which generally range from H′ = 3.5 to 4.2 (Oke et al., 2007). This supports the notion that Site A maintains numerous structural characteristics of relatively intact savannah vegetation.

The diversity metrics observed at Site C are similar to those documented in Guinea Savannah regions in Nigeria, where moderate diversity has been linked to intermediate rainfall and mixed land-use practices (Abdullahi et al., 2020). Likewise, the lower diversity at Site B aligns with research from arid and semi-arid regions, including Jigawa State, where severe climatic conditions and limited moisture availability restrict species richness (Mortimore et al., 2001).

The remarkably high evenness recorded at Site A stands in stark contrast to previous research conducted in comparable Sudan Savannah ecosystems, which indicated lower evenness values (EH ≈ 0.55) attributed to selective harvesting and the dominance of a limited number of resilient species (Oke et al., 2007). The diminished evenness observed at Sites B and C aligns with findings by Bello et al. (2020), who associated decreasing evenness with habitat alteration and human-induced pressures.

The notably high evenness at Site A may be accounted for by regulated or low-intensity harvesting practices, which can mitigate competitive exclusion without disproportionately benefiting a narrow range of species. In contrast to intensive extraction methods, moderate disturbances may suppress dominant species, thereby allowing less competitive taxa to thrive, resulting in a more equitable distribution of individuals.

Conversely, the low diversity and evenness at Site B can be primarily linked to climatic stressors, such as insufficient rainfall, elevated temperatures, and inadequate soil moisture, which hinder plant establishment and promote drought-resistant species. Although Site C is less affected by climatic factors, it seems to be influenced by land-use changes and habitat alterations, which have led to a decline in evenness despite moderate levels of diversity.

The significant presence of Fabaceae (26.9%), as shown in Table 1 and Figure 5, further corroborates the impact of human disturbances, as members of this family are particularly well-suited to thrive in stressful conditions, nitrogen-deficient soils, and environments subjected to repeated harvesting. In contrast, the scarcity of Moraceae (0.17%), a family typically associated with mature or less disturbed ecosystems, underscores the selective extraction of ecologically and medicinally important species amid escalating human pressures (Kankara et al., 2015).

In summary, the results reveal a significant ecological trade-off: human activities can lead to a decrease in species richness (lower H′), disrupt the balance of species (lower EH), or both, contingent upon the intensity of the disturbance and the environmental context. Although systems that experience moderate disturbances may preserve a reasonable level of diversity or evenness, prolonged anthropogenic pressure ultimately alters community composition. Only sites that are relatively less disturbed or ecologically buffered are able to sustain both diversity and evenness at moderate to high levels (Adedoja et al., 2023).

Table 1: Categories of Ailments treated with the documented plants species Frequency of citation, Relative frequency of citation, Fidelity level, Specie Use value, and Vulnerability index.

Species Local Name Family Ailment Treated FC RFC FL (%) (∑Ui/N) VI UV
Acacia ataxacantha Sarkakiya Fabaceae Sore throat 2 0.0083 50 0.0208 0.14 2
Toothache 2 100 2
Cough 1 50 1
Adansonia digitata Kuka Malvaceae Pile 84 0.35 0.3917 0.84 50
Hydration 14 17.8 _ _ 14
Malnutrition 30 45.2 _ _ 30
Anacardium occidentale Kashu Anacardiaceae Cough 4 0.025 33.3 0.0292 0.20 4
Pile 3 83.3 0.0292 _ 3
Anogeissus leiocarpus Marke Combretaceae Cough 103 0.43 88.3 0.5 0.82 82
Pile _ 66.9 22
Gonorrhea _ 10.6 9
Pneumonia _ 1.9 7
Archidendron chevalieri Katsari Fabaceae Fever 3 0.0123 66.6 0.0292 0.12 3
Pile 2 100 _ 2
Dysentery 2 66.6 2
Azadirachta indica Bedi Meliaceae Fatigue 88 0.37 64.7 0.5208 0.28 8
Pile 50 80.6 _ _ 50
Yellow fever 67 94.3 _ _ 67
Balanites aegyptiaca Aduwa Zygophyllaceae Infection 22 0.1 68.1 0.0958 0.84 14
Menstruation 8 18.1 _ _ 8
Ruqya 1 86.3 _ _ 1
Bauhinia reticulate Kalgo Fabaceae Blood tonic 55 0.23 47.2 0.2125 0.42 11
Fever 89.1 37
Heart problem 10.9 3
Borreria stachydea Alkamar turuwa Rubiaceae Dysentery 9 0.04 77.8 0.0250 0.5 3
Infection 44.4 _ 2
Miscarriage 11.1 _ 1
Calotropis procera Tumfaffiya Apocynaceae Cancer 39 0.16 5.1 0.0617 0.12 2
Leprosy 64.1 _ _ 8
Snake bite 43.5 _ _ 11
Ruqya 7.6 _ _ 1
Carissa spinarum Gizaki Apocynaceae Constipation 3 0.013 33.3 0.0167 0.06 2
Pile 100 _ _ 2
Citrus aurantifolia Lemun Tsami Rutaceae Fatigue 32 0.13 78.1 0.2625 0.74 13
Fever 87.5 _ _ 29
Skin Related Problems 59.4 _ _ 21
Combretum glutinosum Taramniya Connareceae Pile 8 0.03 87.5 0.0375 0.08 7
Ruqya _ _ 2
Combretum micranthum Geza Combretaceae Hypertension 99 0.41 47.4 0.6500 0.82 12
Fatigue 6.1 _ _ 68
Stomach pain 78.7 _ _ 55
Protection against witch 4.0 _ _ 2
Witlow 89.8 _ _ 19
Detarium microcarpum Taura Fabaceae Constipation 10 0.042 70 0.0542 0.32 5
Pile 50 _ _ 8
Diospyros mespiliformis Kanya Ebenaceae Fatigue 15 0.62 40 0.1167 0.16 4
Fever _ _ 86.6 _ _ 9
Man power _ _ 46.7 _ _ 2
Pile _ _ 73.3 _ _ 11
Erythrina senegalensis Munjirya Fabaceae Blood Tonic 3 0.0123 33.3 0.0167 0.94 1
Enhance Digestion 66.6 2
Infection 100 1
Eucalyptus camaldulensis Turare Myrtaceae Malaria 5 0.021 100 0.0333 0.26 5
Typhoid 60 3
Euphorbia balsamifera Aliyara Euphobiaceae Pile 2 0.0083 100 0.0083 0.12 2
Faidherbia albida Gawo Fabaceae Fever 11 0.046 72.7 0.0625 0.08 9
Infection 36,3 4
Toothache 54.5 2
Faretia apodanthera Kurukuru Rubiaceae Stomach pain 8 0.033 100 0.0333 0.44 8
Ficus sycomorus Bauraen Hausa Moraceae Cough 37 0.154 70.2 0.1542 0.24 20
Dysentery 78.3 16
Pile 83.7 21
Gardenia aqualla Gaude Rubiaceae Fever 12 0.05 75 0.0833 0.58 8
Fatigue 16.6 4
Man Power 58.3 3
Pile 91.6 5
Grewia mollis Dargaza/Kakaya Malvaceae Fever 3 0.0125 33.3 0.0250 0.18 1
Dysentery 33.3 2
Pile 100 3
Guiera senegalensis Sabara/Barbarta Combretaceae Stomach Pain 102 0.425 92.1 0.7167 0.24 88
Pile 57.8 71
Toothache 5.8 13
Jatropha curcas Cinidazugu Euphobiaceae Dysentary 27 0.113 33.3 0.1500 0.22 15
Miscarriage 11.1 2
Pile 81.4 19
Khaya senegalensis Madaci Meliaceae Fatigue 24 0.1 37.5 0.1750 0.44 17
Fever 87.5 22
Hypertension 29.2 3
Lannea acida Faru Anacardiaceae Cough 22 0.092 77.2 0.1292 0.74 6
Fatigue 27.3 16
Gonorrhea 4.5 8
Heart Problem 13.6 1
Lawsonia inermis Lalle Lamiaceae Fever 18 0.075 33.3 0.0792 0.18 7
Witlow 100 2
Mangifera indica Mangoro Anacardiaceae Fever 32 0.133 96.8 0.1917 0.8 9
Dysentery 68.7 13
Pile 25 24
Mitracarpus hirtus Goga Masu Rubiaceae Dermatitis 17 0.071 17.6 0.1542 0.46 13
Diabetes 5.8 8
Dysentery 52.9 4
Infection 29.4 2
Miscarriage 11.7 9
Stroke 5.8 1
Moringa oliefera Zogala Moringaceae Blood Tonic 96 0.4 89.5 0.9542 0.88 88
Enhance Digestion 48.9 49
Hydration 80.2 22
Hypertension 64.5 55
Infection 37.5 12
Snake bite 14.5 3
Parkia biglobosa Dorowa Fabaceae Fever 19 0.08 57.8 0.1542 0.32 8
Dysentery 47.3 11
Pile 73.6 18
Prosopis africana Kirya Fabaceae Fever 7 0.03 42.8 0.0375 0.14 1
Dysentery 14.2 3
Pile 100 5
Psidium guajava Gwaba Myrtaceae Diarrhea 14 0.067 14.2 0.1417 0.26 3
Malaria 85.7 12
Typhoid 100 10
Stomach Pain 42.8 9
Rourea coccinea Tsamiyar Kasa Connareceae Enhance Digestion 6 0.025 33.3 0.0292 0.1 3
Breast Milk Supplement 100 4
Sclerocarya birrea Danya Anacardiaceae Heart Problem 3 0.0125 100 0.0208 0.26 1
Fatigue 33.3 1
Pile 100 3
Senegalia senegal Dakwara Fabaceae Stomach Pain 9 0.037 77.7 0.0375 0.38 6
Ruqya 44.4 3
Senna arereh Malga Fabaceae Fever 2 0.083 50 0.0167 0.26 2
Pile 100 2
Senna italic Filisko Fabaceae Dysentery 11 0.046 81.8 0.0583 0.36 9
Stomach Pain 54.5 5
Senna occidentalis Tafasar Masar Fabaceae Infection 39 0.163 43.5 0.1750 0.36 25
Stomach Pain 56.4 6
Pile 84.6 11
Senna singueana Runhu Fabaceae Pile 9 0.037 77.7 0.0458 0.06 4
Stomach Pain 22.2 7
Tamarindus indica Tsamiya Fabaceae Fever 46 0.192 69.5 0.1833 0.38 6
Fatigue 17.3 33
Hydration 60.8 3
Pile 95.6 2
Urana lovata Kafi Rama Malvaceae Dysentery 4 0.02 25 0.0333 0.28 4
Pile 100 4
Vachellia nilotica Bagaruwa Fabaceae Inflammation of Gums 22 0.092 22.7 0.1000 0.62 5
Pile 86.3 19
Vachellia seyel Diddishi Fabaceae Stomach Pain 2 0.083 100 0.0167 0.04 2
Pile 100 2
Vitellaria paradoxa Kadanya Sapotaceae Constipation 16 0.0067 63.6 0.0792 0.22 7
Pile 68.7 12
Vitex doniana Dinya Lamiaceae Dysentery 4 0.02 25 0.0292 0.23 3
Pile 100 4
Ximenia americana Tsada Ximeniaceae Bloody Darrhea 11 0.046 63.6 0.0542 0.04 4
Pile 81.8 8
Ruqya 18.2 1
Ziziphus mauritiana Magarya Rhamnaceae Blood Tonic 14 0.058 45.4 0.0708 0.62 6
Stomach Pain 85.7 11

CONCLUSION

This study provides important insights into the diversity and traditional uses of medicinal root plants in Katsina State, Nigeria. Our findings reveal that Fabaceae species dominate the medicinal flora (26.9%), consistent with previous regional studies, while rare families like Moraceae (0.17%) require urgent conservation attention. The ecological analysis showed significant variation in species distribution, with undisturbed sites exhibiting higher diversity (H'=3.7) and farmed areas showing higher evenness (EH=0.9), highlighting how human activities influence plant communities. The ethnobotanical data confirmed the continued reliance on root medicines for treating common ailments, preserving valuable traditional knowledge. These results emphasize the need for community-based conservation strategies that protect both biological diversity and cultural heritage. Future research should investigate sustainable harvesting methods and monitor long-term changes in these medicinal plant populations.

REFERENCES

Abdullahi, M. B., Ibrahim, A. S., & Dangulla, M. M. (2021). Fabaceae in Northern Nigerian ethnomedicine: A systematic review. Journal of Ethnopharmacology, 265, 113–120. [Crossref]

Abdullahi, M., Sani, Y., & Tanko, A. (2020). Floristic diversity and conservation status of Guinea Savannah in Central Nigeria. Nigerian Journal of Botanical Research, 15(2), 45–58.

Adedoja, O., Samuel, P., & Yohanna, G. (2023). Urbanization effects on savanna plant evenness: Evidence from Northwest Nigeria. African Journal of Ecology, 61(2), 210–225. [Crossref]

Bello, A., Suleiman, R. A., & Hassan, M. (2020). Cultivated landscapes and medicinal plant diversity in Sokoto State, Nigeria. Economic Botany, 74(3), 45–59. [Crossref]

Dangulla, M. M., Abdullahi, M. B., & Yakubu, S. (2022). Heterogeneous landscapes sustain higher plant diversity in Sudanian savannas. African Journal of Ecology, 60(2), 45–59. [Crossref]

Kankara, S. S., Ibrahim, M. H., Mustafa, M., & Go, R. (2015). Ethnobotanical survey of medicinal plants used for traditional maternal healthcare in Katsina State, Nigeria. Journal of Ethnopharmacology, 168, 102–110. [Crossref]

Kankara, S. S., Sani, Y., & Bello, A. (2020). Herbal medicine use in Katsina State: A cross-sectional study. Nigerian Journal of Pharmaceutical Research, 16(1), 12–25.

Mortimore, M., Adams, W. M., & Ahmed, I. (2020). Crisis and change in land use in the arid zone of Northern Nigeria. Drylands Research.

Nicolson, N., Trekels, M., Groom, Q. J., Knapp, S., & Paton, A. J. (2023). Global access to nomenclatural botanical resources: Evaluating open access availability. Plants, People, Planet, 5(6), 899–907. [Crossref]

Ogunleye, A. J., Adekunle, V. A., & Oladunmoye, M. K. (2021). Comparative analysis of Moraceae distribution in Southern and Northern Nigeria. Journal of Biodiversity and Conservation, 33(4), 78–92. [Crossref]

Oke, S. O., Isichei, A. O., & Jimoh, M. A. (2007). The Sudan Savannah vegetation of Nigeria: A review. Journal of Ecology and Natural Environment, 2(1), 1–14.

Rumah, A. B., Tanko, Y., & Isa, H. (2010). Land use and vegetation cover changes in Katsina State, Nigeria (1990-2010). Katsina Geographical Journal, 5(1), 1–15.

Shannon, C. E., & Weaver, W. (1949). The mathematical theory of communication. University of Illinois Press.

Stohlgren, T.J. (1994). "Planning Long-Term Vegetation Studies at Landscape Scales." In: Powell, T. and Steele, J. (Eds.), Ecological Time Series. Chapman and Hall,

Suleiman, R. A., Bello, A., & Zahara, M. (2023). Limitations of local nomenclature in West African ethnobotanical studies. Economic Botany, 77(1), 12–30. [Crossref]

World Health Organization. (2023). WHO global report on traditional and complementary medicine[Link]

Zahara, M., Dangulla, M. M., & Abdullahi, M. B. (2022). Best practices for mixed-methods ethnobotanical research in Africa. Journal of Ethnobiology, 42(3), 301–315. [Crossref]