as Agricultural Sciences 2156-8561 2156-8553 Scientific Research Publishing 10.4236/as.2026.1710064 as-154746 Article Biomedical Life Sciences Earth Environmental Sciences Inventory and Characterisation of Non-Timber Forest Products Used by the Local Population Living Near the Diécké Protected Forest, South-East Guinea Monemou Pépé 1 Soropogui Zaou 1 2 0000-0002-9964-6025 Agbodjato Nadège Adoukè 3 Dro Bernadin 4 Barima Yao Sadaiou Sabas 5 Faculté des Sciences et Techniques, Université Gamal Abdel Nasser de Conakry (UGANC), Conakry, Guinea Département de Gestion des Ressources Naturelles, Université de N’Zérékoré, N’Zérékoré, Guinea Département de Biologie, Faculté des Sciences et Techniques, Université de N’Zérékoré, N’Zérékoré, Guinea. UFR Agroforesterie, Université Jean Lorougnon GUEDE, Daloa, Daloa, Côte d’Ivoire Faculté de l’Environment, Jean Lorougnon Guede University, Daloa, Côte d’Ivoire

The authors declare that there are no conflicts of interest related to this work.

 09 10 2026 10 2026 17 10 1130 1144 07 09 2026 20 10 2026 23 10 2026 © 2026 by the authors and Scientific Research Publishing Inc. 2026 This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/ ). https://doi.org/10.4236/as.2026.1710064

The aim of this study was to inventory and characterize the non-timber forest products (NTFPs) exploited by local populations in the Diécké classified forest. An inventory of NTFPs was conducted, complemented by ethnobotanical surveys involving 447 farmers, including 346 men (77.40%) and 101 women (22.6%). The farmers’ ages ranged from 20 to 61. A total of 111 plant species belonging to 99 genera and 47 families were identified, as being used by local populations. These species are used for various purposes, including traditional medicine, food, handicrafts, construction, packaging and sacred pratices. The floristic surveys also identified four morphological types: trees (59%), grasses (19%), shrubs (16%) and lianas (6%). The harvesting methods varied according to the morphological type of the species, and the plant organ or part collected. Leaves were the most frequently harvested plant parts (55%), followed by bark (11.70%), roots (16.20%), fruits (8.10%), branches (6.30%) and others (2.70%). To ensure the sustainable use of NTFPs, it is important to regulate and to rationalize their exploitation in order to maintain their long-term availability.

 Inventory Characterisation Non-Timber Forest Products Riparian Population Diécké Classified Forest 1. Introduction

Forests and trees make vital contributions to both people and the planet, by strengthening livelihoods, improving air and water quality, preserving biodiversity and providing solutions to climate change [1]. The ecosystem functions provided by biological diversity are wide-ranging and irreplaceable [2]. In rural areas, thousands of people depend directly on this biodiversity for their food, income and various other subsistence activities [3]. Forests are complex ecosystems which, in addition to timber production, provide numerous other resources known as Non-Timber Forest Products (NTFPs) [4]. They also provide a wide range of social and environmental services, harbor a high level of biodiversity, and constitute an invaluable genetic resource [5]. Tropical rainforests contain are particularly rich innon-timber forest products (NTFPs) and ecosystem services that contribute significantly to people’s well-being [6][7]. Communities living on the fringes of these forests are therefore dependent on non-timber forest products for their livelihoods and income [8]. These NTFPs have thus sparked a considerable resurgence of interest in recent years due to their contribution to household economies and the conservation of biological diversity [9]. They constitute an essential food source for the survival of rural populations during the lean season and in years of drought, as well as a source of food during periods of heavy rainfall [10]. Today, NTFPs play an increasingly important role in socioeconomic, ecological, cultural, and even political terms in many tropical countries [11]. The United Nations Conference on Environment and Development held in Rio in 1992 recognized their ecological and socioeconomic importance in the sustainable management of forest ecosystems [12].

NTFPs are among the natural resources which local communities most frequently rely on to diversify their productive activities and improve their incomes [13]. They include, in particular, food products (nuts, mushrooms, wild fruits, herbs, etc.), plant products (fibers, vines, flowers, roots, bark, etc.), plant extracts (bamboo, rattan, raffia, etc.), and game and other animal products (bush meat, bees, honey, silk, caterpillars, etc.) [14][15]. For local communities, NTFPs often represent the most tangible manifestation of the forest’s value as natural capital [16]. Furthermore, the NTFP sector largely operates within the informal economy; and often lacks an appropriate organizational, institutional, and legal framework and is not sufficiently valued [17].

This situation affects the availability of plant-based NTFPs, sometimes altering their distribution around villages [18][19]. Consequently, the extent of degradation and the availability of the NTFP species on which rural populations depend have become a cause for concern [20]. Furthermore, when human activities carried out within a protected area or a classified forest become intensive, they can contribute to the impoverishment of the local communities that depend on them. This is the case in the Diécké classified forest, situated in south-eastern Guinea. Furthermore, when human activities within a protected area or a classified forest become intensive, they can contribute to the impoverishment of the local communities that depend on them. This is the case in the Diécké classified forest, situated in south-eastern Guinea.

This natural region is the most forested area in the country and is home to extensive tracts of humid rainforests, notably in the Ziama and Nimba Mountains biosphere reserves, as well as the classified forests of Diécké, Béro and Pic de Fon [21]. However, the dense rainforests have been extensively cleared (after having been relatively little exploited for timber), to the extent that only a few tens of thousands of hectares remain, concentrated mainly in two large protected forest areas: the Ziama Forest, covering 112,300 ha, and the Diécké Forest, 64,000 ha, as well as in a few small forests that are difficult to access or protected by local customs [22]. With regard to the Diécké Protected Forest, several studies have already been carried out, notably the ‘Study of the rattan industry around and within the Ziama, Diécké and Mont Béro Protected Forests’ [23], the socio-economic importance of rattan in the lives of communities living on the periphery of the Diécké Protected Forest [24], on the effects of rattan harvesting on associated species on the periphery of the Diécké Protected Forest, [21] as well as on the economic value of non-timber forest products in the lives of communities living on the fringes of the Diécké Protected Forest [25]. However, no study has been carried out focusing on the inventory and characterisation of non-timber forest products harvested by communities living on the periphery of the Diécké Protected Forest, hence the necessity and relevance of conducting this study.

 2. Materials and Methods 2.1. Description of the Study Area

The Diécké Protected Forest is situated in south-eastern Guinea between 7˚22' and 7˚39' north latitude and 8˚47' and 9˚06' west longitude, covering an area of 64,000 hectares. The climate is sub-equatorial, with a long rainy season. Average annual rainfall is 1840 mm. Wet rainforests, secondary forests and mesophilic forests make up the bulk of the forested area [21]. The Diécké Classified Forest and the villages in its vicinity are influenced by river backwaters such as Gbin, Nié and Gbinbé. The surrounding area has been shaped by various waves of migration involving indigenous people, non-indigenous people and foreigners. The indigenous populations living on the outskirts belong to the two major groups, the Kpèlè and the Manons, which are the main ethnic groups in the area [24]. Migrants and foreigners seeking a livelihood come from all the country’s ethnic groups, as well as some from Liberia, and are exerting various pressures on the entire Diécké Protected Forest. The aim of this migration has been to find agricultural land and to engage in cross-border trade, given the area’s proximity to Liberia and Côte d’Ivoire [26]. The outskirts of the Classified Forest have experienced, and continue to experience, waves of migration due to the launch of the agro-industrial programme for modern rubber and palm oil production chains, established in 1987 and led by the Guinean Palm Oil and Rubber Company (SOGUIPAH), a public limited company under Guinean law, wholly owned by the State but managed on a private-sector basis. The communities living on the fringes of this classified forest are engaged in agriculture, livestock farming, sport hunting and the harvesting of non-timber forest products [24] (Figure 1).

Figure 1.Overview of the Diécké classified forest.

 2.2. Data Collection

Data collection was carried out in all villages and areas situated around the Diécké Classified Forest (FCD) using the survey forms shown in Figure 1. Data collection for this activity took place between 5 February and 15 May inclusive. 20 villages (Yosonon, Bounouma, Gboimou, Samouta, Kéréma, Nonah, Péla, Bérégna, Korohuon, Saoro, Gbamou, Kilikpala, Ouéta, Tèyéouon, Gbèlèye, Pèlèdeye, Gomou, Tokpapa, Dourapa, Diécké) and 8 sectors (Manawi, Lanai, Gbin, Soo, Sokoli, Gborola I, Gborola II, Nonah Camp). Respondents were selected using random sampling. The sample size n was determined using the normal approximation of the binomial distribution (Cochran, 1977, cited by Halidou, 2016). The formula for determining n is given by:

n = t 2 ∗ p ( 1 − p ) e 2

n: Minimum sample size to be obtained (the number of households or individuals to be surveyed).t: Critical value derived from the reduced centered normal distribution, determined by the chosen confidence level. The standard in academia is a 95% confidence level, which yields a fixed value of t = 1.96.p: Estimated or expected proportion of the characteristic under study in the population (for example, the percentage of households harvesting NTFPs). In the absence of prior data, p is conventionally set to 0.5 (50%), which maximizes the variance and ensures the largest and most conservative sample possible.e: Acceptable margin of error (or desired precision). The scientific standard is set at 5%, or e = 0.05.

There were 56 focus groups in total, comprising 2 groups (1 for women and 1 for men). During this session, men and women were separated to avoid one group influencing the other (Thiombiano et al., 2012).

A letter was sent to the forestry authority and the local authorities explaining the aim of the study. Subsequently, before the questionnaire was administered, consent was obtained from the local authorities by explaining the aim of the study to them, in accordance with the method used by (Uprety et al., 2012; Kébenzikato et al., 2015). Nextt a qualitative method involving semi-structured face-to-face interviews with the local population was employed to facilitate the collection of data and experiences through dialogue [19]. The questions focused on the demographic profile of each stakeholder, their experience in the sector, details of the NTFPs harvested (name of the plant, source of supply), harvesting techniques, categories of use (food, medicinal, construction, handicrafts, sacred, ceremonial, packaging), the extent to which each species is used, and their economic value. The interviews were therefore conducted in French and in the local language with people who had extensive knowledge of NTFPs and were aged 20 or over. A total of 447 people were interviewed; the focus group discussions involved between six and twelve participants and a facilitator discussing the issue at hand [27]. During these sessions, men and women were separated to avoid one group influencing the other [28].

 2.3. Flora Surveys

The choice of sites for the survey plots was based on the tracks used by loggers searching for plant-based non-timber forest products (NTFPs). The surface survey method described in [29] was adopted. This method involves describing the vegetation by listing and classifying species within areas measuring approximately 20 m on each side, oriented according to the four cardinal points, with precise spacing. In this study, square plots measuring 20 m by 20 m were established in various habitats within the Diécké Protected Forest (FCD). Each plot covered a total area of 400 m2 (Figure 2). In practical terms, linear transects 20 m in length were established from the forest edge inwards. A 10-metre-wide strip on either side of the transect line was defined for the floristic survey. A total of 49 plots were established for floristic surveys, covering a total sampled area of 22,400 m2. For the establishment of the plots, sites were selected based on the trails used by loggers searching for plant-based non-timber forest products (Monemou et al., 2025). All NTFP species encountered were recorded across the entire square area.

Figure 2.Diagram of a grid survey for collecting floristic data.

The plants collected were identified in the field using *Woody Plants*; those that could not be identified were taken to the Sérédou herbarium for identification.

 2.4. Data Analysis

2.4.1. Profile of Stakeholders in the Non-Timber Forest Products Sector

The data from the socio-economic survey were entered into a database using Microsoft Excel 2013. They were organised to highlight the age groups of artisans and operators involved in Non-Timber Forest Products sourced from the Diécké classified forest.

2.4.2. Frequency of Use

The frequency of use is determined using the citation-based approach. This approach is based on the principle that the most widely used NTFP source species are those cited by several people [30]. It is calculated using the following equation:

F u = S N × 100

where: S = number of people using the product in question; N = total number of people interviewed. When Fu approaches 0, the species is used to a limited extent, and when Fu approaches 100, the species is used extensively.

 3. Results 3.1. Profile of Non-Timber Forest Product Harvesters

Surveys carried out amongst local residents identified 447 harvesters, of whom 346 were men (77.40%) and 101 were women (22.6%). The ages of these harvesters ranged from 20 to 61 years. Producers aged between 31 and 40 were the most numerous, accounting for 35%of those interviewed. They were followed by those aged between 20 and 30 (30%); 41 and 50 (23%); and 51 and 60 (8%). Farmers aged 61 and over are in the minority and account for 4% of respondents (Figure 3).

Figure 3.Histograms showing the distribution of NTFP users.

 3.2. Inventory and Characterisation of Non-Timber Forest Products

The results of the survey, combined with those of the inventory, enabled the identification of 111 plant species used by the local population in the Diécké Protected Forest. These species are divided into 99 genera and 47 families. These species are used in traditional medicine, food, crafts, construction, packaging and for sacred purposes (Table 1).

 3.3. Biomorphological Types of Non-Timber Forest Products Inventoried in the Diécké Classified Forest

Floristic surveys in the Diécké Classified Forest have enabled us to identify four morphological types of species that are sources of Non-Timber Forest Products. In terms of these types, trees are the most numerous (59%) followed by herbs (19%); shrubs account for 16%; and vines bring up the rear at 6% (Figure 4).

 3.4. Use of Non-Timber Forest Products

The local population living near the Diécké Classified Forest uses NTFPs for medicinal, food, craft, construction, packaging and sacred purposes. Figure 5 shows the proportion of different plant species used for each purpose. The medicinal category ranks first at 71%, followed by the food category 14%; crafts account for 7%, construction 5%, sacred uses 2%, and packaging comes last at 2%.

Table 1. List of plant species used as sources of non-timber forest products inventoried in the Diécké Protected Forest.

N˚ Scientific name Family Primary use Frequency of use ( % )
1 Adenia lobata (Jacq.) Engl. Passifloraceae Medicinal 9.17
2 Afraegle paniculata (Schumach. & Thonn.) Engl. Rutaceae Medicinal 5.14
3 Aframomum alboviolaceum (Ridley) K. Schum. Zingiberaceae Medicinal 8.27
4 Aframomum exscapum (Sims) Hepper Zingiberaceae Medicinal 10.06
5 Aframomum melegueta K. Schum. Zingiberaceae Medicinal 35.57
6 Ageratum conyzoides Linn. Asteraceae Medicinal 41.38
7 Aidia genipiflora (DC.) Dandy Rubiaceae Construction 3.57
8 Albizia adianthifolia (Schumach.) W.F. Wright Mimosaceae Handcrafted 33.78
9 Albizia ferruginea (Guill. & Perr.) Benth. Mimosaceae Handcrafted 32.21
10 Alchornea cordifolia (Schum. & Thonn.) Müll.Arg. Euphorbiaceae Medicinal 27.96
11 Alstonia boonei De Wild. Apocynaceae Medicinal 50.11
12 Anchomanes difformis ( Blume ) Engl Araceae Medicinal 7.82
13 Anthocleista djalonensis A. Chev. Loganiaceae Medicinal 5.14
14 Antiaris toxicaria var. africana (Engl.) C.C. Berg Moraceae Construction 10.73
15 Aspilia africana var. ambigua C.D. Adams Asteraceae Medicinal 4.02
16 Baissea leonensi s Benth. Apocynaceae Medicinal 10.06
17 Baphia bancoensis Aubrév. Fabaceae Medicinal 8.94
18 Baphia nitida Lodd. Fabaceae Medicinal 7.15
19 Bombax buenopozense P. Beauv. Bombacaceae Medicinal 3.57
20 Bussea occidentalis (Hutch) Fabaceae Food 7.82
21 Bridelia ferruginea Benth. Euphorbiaceae Handcrafted 6.71
22 Bryophyllum pinnatum (Lam) Oké Crassulaceae Medicinal 3.8
23 Calamus deërratus L. Arecaceae Handcrafted 67.56
24 Calotropis procera (Ait.) Ait.f. Asclepiadaceae Medicinal 6.71
25 Carapa procera DC. De Wilde Meliaceae Medicinal 22.14
26 Cassia occidentalis Linn. Caesalpiniaceae Medicinal 16.77
27 Ceiba pentandra (Linn.) Gaerth. Bombacaceae Food 47.87
28 Celtis zenkeri EngI. Ulmaceae Medicinal 23.71
29 Cercestis afzalii (Cchott) Araceae Handcrafted 28.85
30 Chrysophyllum albidum G.Don Sapotaceae Medicinal 7.38
31 Cola nitida (Vent.) Schott & Endl. Sterculiaceae Food 10.29
32 Combretum molle R. Br. ex G. Don Combretaceae Medicinal 13.19
33 Cordia platythyrsa Bak. Boraginaceae Medicinal 11.85
34 Cynometra megalophylla Harms Caesalpiniaceae Medicinal 5.59
35 Deinbollia pinnata (Poir.) Schumach. & Thonn. Sapindaceae Food 15.88
36 Detarium senegalense J.F. Gmel. Caesalpiniaceae Medicinal 27.29
37 Diospyros mespiIiformis Hochst. ex A. DC. Ebenaceae Medicinal 27.74
38 Diospyros vignei F. White Ebenaceae Medicinal 30.20
39 Distemonanthus benthamianus Baill Caesalpiniaceae Sacred 35.12
40 Elaeis guineensis Jacq. Arecaceae Food 95.52
41 Entandrophragma angolense (Welw.) C. DC. Meliaceae Medicinal 69.79
42 Entandrophragma candollei Harms Meliaceae Medicinal 31.54
43 Entandrophragma cylindricum (Sprague) Meliaceae Medicinal 48.76
44 Entandrophragma utile (Dawe & Sprague) Meliaceae Medicinal 50.11
45 Eremospatha macrocarpa (G. Mann & H. Wendl.) Arecaceae Handcrafted 90.1
46 Erythrophleum ivorense A. Chev. Caesalpiniaceae Sacred 89.48
47 Ficus exasperata Vahl Moraceae Medicinal 12.75
48 Ficus sur Forsk. Moraceae Medicinal 9.39
49 Ficus umbellata Vahl Moraceae Medicinal 16.77
50 Funtumia africana (Benth.) Stapf Apocynaceae Handcrafted 34.67
51 Garcinia kola Heckel Clusiaceae Medicinal 67.11
52 Griffonia simplicifolia (Vahl ex DC.) Baill . Caesalpiniaceae Medicinal 39.59
53 Harungana madagascariensis Lam. ex Poir. Hypericaceae Medicinal 41.16
54 Heliotropium indicum Linn. Boraginaceae Medicinal 16.10
55 Holarrhena floribunda (G. Don) Dur. & S. Apocynaceae Medicinal 43.17
56 Irvingia gabonensis (Aubry-Lecomte ex O'Rorke) Irvingiaceae Food 50.78
57 Kalanchoë crenata (Andrews) Haw Crassulaceae Medicinal 9.39
58 Kigelia africana (Lam.) Benth. Bignoniaceae Construction 16.10
59 Laccosperma secundiflorum (P. Beauv.) Arecaceae Handcrafted 89.70
60 Lecaniodiscus cupanioides Planch. Sapindaceae Medicinal 23.26
61 Leea guineensis G. Don Leeaceae Medicinal 19.01
62 Macaranga barteri Müll. Arg. Euphorbiaceae Medicinal 16.77
63 Manniophyton fulvum Müll. Arg. Euphorbiaceae Medicinal 40.26
64 Mansonia altissima (A. Chev.) A. Chev. Sterculiaceae Medicinal 47.20
65 Marantochloa leucantha (K. Schum.) M. Marantaceae Packaging 53.46
66 Margaritaria dicoidea ( Stem.bark ) Euphorbiaceae Medicinal 10.29
67 Mareya micrantha (Benth.) Müll. Arg. Euphorbiaceae Medicinal 12.08
68 Microglossa pyrifolia (Lam.) Kuntze Asteraceae Medicinal 34.89
69 Milicia excelsa (Welw.) Benth. Moraceae Medicinal 54.36
70 Millettia zechiana Harms Fabaceae Medicinal 18.89
71 Morinda lucida Benth. Rubiaceae Medicinal 35.79
72 Morus mesozygia Stapf ex A. Chev. Moraceae Medicinal 20.58
73 Motandra guineensis A. DC. Apocynaceae Medicinal 9.17
74 Myrianthus arboreus P. Beauv. Cecropiaceae Medicinal 12.52
75 Napoleonaea vogelii (Hook.f.) Planch. Napoleonaeaceae Medicinal 17.67
76 Nauclea latifolia Sm. Rubiaceae Medicinal 36.01
77 Nesogordonia papaverifera (A. Chev.) R. Sterculiaceae Construction 19.23
78 Newbouldia laevis (P. Beauv.) Seemann ex. Bignoniaceae Medicinal 32.43
79 Ocimum gratissimum Linn. Lamiaceae Food 17.89
80 Olax subscorpioidea Oliv. Olacaceae Medicinal 38.92
81 Palisota hirsuta (Thunb.) Schum. ex Engl. Commelinaceae Medicinal 23.26
82 Paullinia pinnata L. Sapindaceae Medicinal 12.08
83 Penthacletra macrophylla (Benth) Fabaceae Medicinal 7.82
84 Phyllanthus muellerianus (O. Ktze.) Exell Euphorbiaceae Medicinal 15.21
85 Picralima nitida (Stapf) T. Durand & H. Apocynaceae Medicinal 17.44
86 Piliostigma thonningii (Schum.) M. Caesalpiniaceae Medicinal 25.27
87 Piper guineense Schum. & Thonn. Piperaceae Food 92.61
88 Piptadeniastrum africanum (Hook.f.) B. Mimosaceae Medicinal 15.43
89 Pouteria aningeri Baehni Sapotaceae Construction 17.44
90 Pycnanthus angolensis (Welw.) Warb Myristicaceae Medicinal 33.10
91 Raphia hookeri G. Mann & H. Wendl. Arecaceae Food 68.68
92 Rauvolfia vomitoria Afzel. Apocynaceae Medicinal 51.67
93 Ricinodendron heudelotii ( Baill. ) Pierre. Euphorbiaceae Food 82.10
94 Sacolglotis gabonensis ( Bail. ) Urb. Humiricaceae Food 39.59
95 Salacia nitida (Benth.) N. E. Br. Hippocrateaceae Food 17.89
96 Salacia owabiensis Hoyle Hippocrateaceae Food 13.19
97 Solanum nigrum Linn. Solanaceae Medicinal 8.27
98 Spathodea campanulata P. Beauv. Bignoniaceae Medicinal 4.25
99 Spondias mombin Linn. Anacardiaceae Food 3.13
100 Sterculia tragacantha Lindl. Sterculiaceae Medicinal 2.01
101 Streblus usambarensis EngI. Moraceae Medicinal 6.71
102 Terminalia ivorensis A. Chev. Combretaceae Medicinal 28.85
103 Terminalia superba EngI. & Diels Combretaceae Medicinal 32.21
104 Thaumatococcus daniellii (Benn.) Benth. Marantaceae Packaging 54.36
105 Tiliacora dinklagei Engl. Mennispermaceae Medicinal 6.04
106 Trema guineensis (Schum. & Thonn.) Ficalho Ulmaceae Medicinal 19.23
107 Triplochiton scleroxylon K. Schum. Sterculiaceae Medicinal 40.49
108 Vernonia amygdalina Delile Asteraceae Medicinal 21.02
109 Vernonia colorata (Willd.) Drake Asteraceae Medicinal 19.01
110 Xylopia aethiopica (Dunal) A. Rich. Annonaceae Medicinal 57.49
111 Zanthoxylum Zanthoxyloides (Lam.) Zepern. Rutaceae Medicinal 35.79

Figure 4.Biomorphological types of the inventoried species.

Figure 5.Proportion of NTFPs used by the local population.

Figure 6.Proportion of organ types harvested by local communities.

 3.5. Types of NTFP Parts Harvested by the Local Population

Within the framework of this study, it was observed that in the Diécké Classified Forest, local people harvest various parts to meet dietary, economic and therapeutic needs, as well as for other purposes, with accessibility being a major factor (Figure 6). Generally speaking, local communities have unrestricted access to NTFPs, which are often harvested in a haphazard and unregulated manner. The methods used by local residents of the Diécké Protected Forest to collect or harvest parts of NTFPs vary according to the morphological type of the species, as well as the specific part sought. Among these harvesting methods, the collection of leaves ranks first at 55%, followed by bark (16.20%), roots (11.70%), fruits (8.10%), branches (6.30%) and other plant parts (2.70%).

 4. Discussion

With regard to the inventory and characterisation of non-timber forest products (NTFPs), the results of the surveys, combined with those of the floristic surveys, enabled us to catalogue 111 plant species across 99 genera and 47 families in the Diécké Protected Forest. These species were classified into four biomorphological types, which trees being the most abundant (59%), followed by herbs (19%); shrubs account for 16% and lianas bring up the rear at 6%. These findings differ from those reported by [13], who recorded 105 plant species harvested in the Agoua mountain range in the commune of Bantè, in the Collines department of Benin belonging to 48 families. According to biomorphological type, herbaceous species were the most frequently harvested by local communities (66.67%). Trees account for 19.04% of the harvested species, whilst shrubs account for 14.28% of the harvested NTFPs.

With regard to the use of non-timber forest products (NTFPs), it should be noted that food, medicine, crafts, construction, sacred purposes and packaging are the various categories of use of NTFPs by the communities living on the fringes of the Diécké Classified Forest. Analysis of these uses has enabled us to identify six (6) categories, including traditional medicine, food, crafts, construction, sacred purposes and packaging. This finding differs from those reported by [16], who identified seven categories of NTFP use in the vicinity of the Haut-Sassandra Classified Forest in Côte d’Ivoire and by [9], who identified eight categories of NTFP use in the Donga watershed in northwestern Benin. This difference can be explained by the fact that the uses of NTFPs vary from one area to another, taking into account the customs, traditions, and socioeconomic pratices of the communities living around the classified forests.

With regard to the uses of non-timber forest products (NTFPs) parts harvested by the local population, it should be noted that in the Diécké Protected Forest, the collection or harvesting of NTFP parts by local residents of the Diécké Protected Forest is divided into five methods. Among these methods, the harvesting of leaves ranks first at 55%, followed by bark (16.20%), roots (11.70%), fruits (8.10%), branches (6.30%) and others (2.70%). These results contrast with those of [17], which identified six methods of harvesting plant parts in the rural commune of Tamou, in south-western Niger (fruits, leaves, bark, stems, seeds and roots).

 5. Conclusion

This study, based on an ethnobotanical survey combined with a floristic inventory, provided a comprehensive overview of the non-timber forest products (NTFPs) available in the Diécké Classified Forest. In the surrounding villages where the investigations were carried out, a total of 447 harvesters were recorded, comprising 346 men (77.40%) and 101 women (22.60%). The ages of the harvesters ranged from 20 to 61 years. The 31 - 40 age group is the most common, accounting for 35% of those interviewed. In total, 111 species belonging to 99 genera and 47 families were recorded. These species include trees, herbs, shrubs and vines.

The use of these plant species, which provide non-timber forest products, contributes to the well-being of communities living on the fringes of the Diécké Protected Forest through food, medicine, crafts, construction, religious practices and packaging. The plant parts harvested included leaves, bark, roots, fruit, branches and others plant parts.

This study does not focus primarily on the intensification of harvesting, the abundance or the regeneration of NTFPs harvested by local communities. It places considerable emphasis on identifying the key NTFP species harvested by local communities, as well as the harvesting practices that are leading to the decline of these species.

The conservation and sustainable management of NTFPs are essential to ensure the long-term sustainability of local cultural uses and practices, as well as the transmission of traditional knowledge about plants from one generation to the next.

 Acknowledgements

The authors would like to thank the Ministry of Higher Education and Scientific Research for its financial support of the “1000 PhDs and 5000 Master’s Degrees” trainer-training program, which made this study possible.

 Author Contributions

PM designed the study. PM, SZ, and BD performed the statistical analysis and wrote the protocol. PM, ZS and NAA wrote the first draft of the manuscript. PM, ZS, and BD managed the analyses of the study. PM, ZS, NAA, BD, and YSSB managed the literature searches. All authors read and approved the final manuscript.

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