ORIGINAL RESEARCH article

Front. Ecol. Evol., 09 June 2021

Sec. Conservation and Restoration Ecology

Volume 9 - 2021 | https://doi.org/10.3389/fevo.2021.649954

Floral Distribution of a Sub-Bituminous Coal Dumpsite in Enugu, Nigeria

  • 1. Department of Microbiology, Faculty of Science, University of Lagos, Lagos, Nigeria

  • 2. Department of Botany, Faculty of Science, University of Lagos, Lagos, Nigeria

  • 3. Assured Turnkey Solutions, Johannesburg, South Africa

Abstract

The remnant floral diversity of a naturally reclaimed area proximal to an abandoned mine was assessed. The coal mine site, the Incident zone (IZ) and an unsullied site, the Control zone (CZ), were sampled. Using a 5 m2 quadrat, the floristic composition was determined by the occurrence, distribution analysis, and species diversity indices. The study revealed a degraded vegetation type and recorded a total of 60 species, 53 genera and 27 families. Both the IZ and CZ shared 26.67% species similarity, while 36.67% are were unique to each zone. Five species were dominant (Ageratum conyzoides, Panicum maximum, Calopogonium mucunoides, Chromolaena odorata). While the dominant genera vary between IZ (Borreria, Dioscorea, Ipomoea, and Phyllanthus) and CZ (Desmodium, Euphorbia, and Ipomoea), Asteraceae and Poaceae were the dominant families in both zones. Forbs were the most dominant life forms in both zones; Cyclosorus sp. and Adiantum sp. were only found on the IZ, whereas, Kyllinga erecta and Mariscus alternifolius were exclusive to the CZ. Our results reflect that species composition and vegetation paradigm in the study area could be influenced by coal mining, farming, infrastructural installations and climate. Hence, we suggest future studies to investigate how the species adapt to the environment. Although most of the species encountered belonged to lower-risk conservation, the conservation of the species to this area is imperative.

Introduction

Coal is a significant source of energy globally (National Research Council [NRC], 1995; Zou et al., 2016; International Energy Agency [IEA], 2018; Ritchie and Roser, 2019). It is one of the most abundant fossil fuel resources present in Nigeria (Ezekwe and Odukwe, 1980; Ogunsola, 1991), comprising bituminous, sub-bituminous, and lignite belts (Behre, 2006). Its most dominant form in Nigeria, sub-bituminous coal (Chukwu et al., 2016), is characterized by a high calorific value of (5,000–6,000 cal/g or 5,500–6,500 cal/g air-dried), low ash and low sulfur content (Afonja, 1979).

Coal mining, its related activities, including total clearance of vegetation and the indiscriminate disposal of waste coal material such as coal spoils and discards, which are usually stockpiled in the form of dumps, cause land degradation (Singh et al., 2002; Ghose, 2004; Ekka and Behera, 2011), thus, inducing changes in soil structure, typically the physical, chemical and microbiological properties of soil, as well as the destruction of vegetation which ultimately disrupt the functioning of ecosystems (Kundu and Ghose, 1997; Sheoran et al., 2010).

Due to plants’ inability to move, they have to deal with changes in their environment (Sanchita, 2018). Environmental changes due to mine waste cause loss of biodiversity (Sheoran et al., 2010). Under a narrow range of conditions in the environment, plant community structure depends on plants’ capabilities to develop certain adaptive morphological and physiological features (Dazy et al., 2009).

The loss of vegetation due to coal mining activities has become topical (Sarma, 2005; Huang et al., 2014). Perhaps, these activities may have influenced the concurrent colonization of the coal dumpsites by different invasive plant species, which resulted in the continuous disruption of vegetation. Previous studies have recorded several invasive plant species present in the coal mine dumpsites undergoing rehabilitation in different parts of the world, e.g., Columbia, India, and Indonesia (Sarma, 2005; Hazarika et al., 2006; Sánchez-Pinzón et al., 2010; Ekka and Behera, 2011; Singh, 2011; Komara et al., 2016; Novianti et al., 2017; Yusuf and Arisoesilaningsih, 2017; Hapsari et al., 2020). Together, those studies identified associated plant species such as Adiantum sp., Ageratum conyzoides (Mill.) M. Sharma, Alternanthera sessilis L., Chromolaena odorata (L.) R. M. King and H. Rob., Ipomoea cairica (L.) Sweet, Oldenlandia corymbosa L., Panicum maximum Jacq., Pennisetum purpureum Schumach., Tridax procumbens L., and Urena lobata L. to coal mine dumpsites. To our knowledge, there are no detailed studies documenting the plant species inventories of coal mining sites in Nigeria, especially Enugu (the Nigerian Coal City that used to be home to Iva Valley, Ogbete, Onyeama, and Okpara mines (Sikakwe et al., 2015; Agbalagba and Uzo, 2018). Nonetheless, there is an environmental impact assessment (EIA) report which highlighted the effects of coal mining activities on biodiversity, especially on economic tree species (e.g., Khaya ivorensis and Milicia excelsa) in Akwueke and Iva Valley communities within the Enugu Coal City (Ogbonna et al., 2015). Other previous studies focused instead of floral composition on the geo-environmental characteristics of the Okpara, Onyeama, and Ribadu coal mine sites (Sikakwe et al., 2015; Sikakwe, 2017).

Drawing from the lessons of the occurrence of the devastation by coal mining on the ecosystem (in abandoned mined lands) and its subsequent revegetation from different regions of the world (Baig, 1992; Skousen et al., 1994; Sheoran et al., 2010; Yang et al., 2015; Pauletto et al., 2016; Buta et al., 2019), it was essential to examine how coal mining and its concomitant wastes have impacted the floral distribution in the Coal Camp/Ogbete area. We evaluated the plant diversity by (1) comparing the remnant species in the polluted coal site (IZ) and an undisturbed site (CZ) and by the assessment of the conservation status of the species within the study area.

Materials and Methods

Study Area

The study was carried out around the defunct coal mines in the Coal Camp located at Udi (6° 25′ N, 7° 28′ E), Enugu State (Figure 1 and Table 1) between 2014 and 2016 (Nsa et al., 2017). The map for the study site was generated with the ArcGIS software (Environmental Systems Research Institute [ESRI], 2014). Enugu has different vegetation types ranging from the tropical rainforest in the south (where Udi is) to open grassland and savannah in the north (Obi, 2009). The site is surrounded by hills and disturbed secondary regrowth forest vegetation comprising trees, shrubs, and herbs. Although the decline in mining began over 40 years ago, the operations were stalled entirely around 2005. The project area has experienced infrastructural development, urbanization, and farming activities over this period. The occupants of the study area were farmers, former workers of the defunct mine, and traders. For this study, the area near the coal mine, visibly contaminated with coal wastes, was referred to as the Incident zone (IZ), and an uncontaminated area referred to as the Control Zone (CZ). The three criteria considered prior to site selection were: (i) sampling points cover and spread, (ii) species heterogeneity, and (iii) coal mining sites.

FIGURE 1

TABLE 1

MonthsClimate NASA (SRB)
Climate (NIMET, 2017)
201420152016




Precipitation (mm)Temp. (°C)Relative humidityPrecipitation (mm)Temp. (°C)Relative humidityPrecipitation (mm)Temp. (°C)Relative humidityYearRainfall (mm)Temp. (°C)
January14.1925.473.760.9823.5564.494.1224.755.8220141875.328
February24.4726.3179.5518.2426.7181.853.6627.264.2920151862.327.4
March39.0326.5284.8292.9226.7182.02109.5427.7481.9920161823.429.1
April107.3626.4885.4146.4226.8782.670.7627.5183.76
May120.326.3588.1698.6126.4186.6152.7726.6286.4
June104.3825.8588.87165.325.5788.4159.9725.687.46
July128.625.2688.99172.725.4287.85220.3625.0188.64
August*185.8424.887.97106.0225.2987.82310.1524.8689.39
September175.8524.9489.83226.6425.389.05294.0325.0389.65
October132.2625.4588.33157.925.4888.89229.4125.788.14
November43.7425.9386.8981.1426.0180.644.1826.4982.14
December0.325.4379.410.222.9658.438.8525.2272.71
Total1727.241076.321607.82
Average (°C)25.7285.1825.5181.5125.9680.9

Climate data (NASA and NIMET) and onsite temperature.

*Month of sample collection August.

Climatic Data

The climatic data for the site covering the period from January 1, 2014, through December 31, 2016, were obtained from two sources; Power SRB, NASA (https://power.larc.nasa.gov/; last accessed 2020/10/10; Briggs et al., 2003) and Nigerian Meteorological Agency (NIMET). The Global Positioning System (GPS; Garmin MAP 64S) coordinates of the plot in the Coal Camp were used to retrieve the precipitation data from NASA, whereas NIMET rainfall data covered the entire Enugu region (Chukwuike, 2018).

Sampling

Nine geo-referenced sampling points (IZ = 7 and CZ = 2) were systematically established for biodiversity assessment (Figure 1). The limited sampling points were attributable to acute environmental degradation and habitat fragmentation due to patchiness within the IZ. Two points (about 5 km away) free of mining activities outside the IZ were assessed to compare species presence and absence. Biodiversity assessment was conducted using a 5 m2 quadrat sampling method (Barker, 2001; Unanaonwi and Amonum, 2017). The choice of the quadrat size was determined with consideration of the landscape of the study site. The points with heterogenous populations were selected for adequate representation of the different species. The coverage, abundance, frequencies of the species and life-form classes within the sampling areas were recorded.

Species Identification

Taxa identification and classification were made onsite, while representatives from indeterminate species were collected and preserved as described by Radford et al. (1974). The two approaches used for the species identification were based on: (1) the morphological description in Flora, manuals and monographs (Hutchinson and Dalziel, 1954, 1958, 1963, 1968; Alston, 1959; Keay et al., 1964; Hutchinson et al., 1972; Lowe and Stanfield, 1974; Akobundu and Agyakwa, 1998) and (2) the comparison of the plant specimen samples with the preserved dried samples at the University of Lagos Herbarium (Department of Botany), Nigeria. These identification methods have been used in previous studies (Adeniyi et al., 2016; Adeonipekun et al., 2018). Identification of species was delimited to the genus level for species that had incomplete morphological features. The plant families followed the Angiosperm Phylogeny Group (The Angiosperm Phylogeny Group [APG], 2016), while the species nomenclature and authorities were validated by the International Plant Name Index database (International Plant Names Index [IPNI], 2020). All plant samples collected were used solely for identification purposes.

Data Analysis

Species presence and absence were recorded for each sampled plot, followed by the comparative floristic analyses of the two zones (IZ and CZ) using four descriptive statistics and diversity indices (Patel et al., 2012, Patel et al., 2020; Oyebanji et al., 2020). The descriptive statistics include frequency (%), relative frequency (%), density (plant/m2), and relative density (%) while the diversity indices were performed using Dominance, Evenness, Shannon—Wiener, and Simpson’s indices (Simpson, 1949; Shannon and Weaver, 1963; Magurran, 1988) incorporated in Paleontological Statistical software (PAST v 2.17c, Hammer et al., 2001). The five-category life forms (climber, forb, grass, shrub, and tree) typical of the tropics were adopted to describe the forest morphology of the study area based on the classification scheme of Mueller-Dombois (1972).

Conservation Status Assessment

The conservation status of the species was classified as Not Evaluated (NE), Data Deficient (DD), Least Concern (LC), Near Threatened (NT), Vulnerable (VU), Endangered (EN), Critically Endangered (CR), Extinct in The Wild (EW), and Extinct (EX) based on the International Union for Conservation of Nature (IUCN) Red List of Threatened Species (IUCN, 2021). The species without complete taxonomic identification could not be assessed and were designated as Not Determined (ND).

Results

Ecosystem and Habitat Characteristics

In the 3 years reported, the average precipitation rate was highest in 2016 (Table 1). The habitat ranged from degraded secondary forests to patches of flood plains. Some species are known to occupy flooded areas. Based on the IUCN’s Habitat and Ecology ranking, 10 wetland (inland) species were present (Alternanthera sessilis L., Ageratum conyzoides (Mill.) M. Sharma, Colocasia esculenta (L.) Schott., Commelina diffusa Burm. F., Eleusine indica (L.) Gaertn., Kyllinga erecta Schumach., Ipomoea cairica (L.) Sweet, Imperata cylindrica (L.) Raeusch., Pennisetum pupureum Schumach., Urena lobata L.) and Oldenlandia corymbosa associated with the Artificial/Aquatic and Marine habitat. Other wetland species encountered without an IUCN status include Sida acuta Burm. fil., Desmodium triflorum (L.) DC., Centrosema pubescens Benth., Calopogonium mucunoides Desv., Peltophorum pterocarpum (DC.) K. Heyne, Euphorbia heterophylla L., Borreria ocymoides (Burm. F.) DC. Panicum maximum Jacq., and Axonopus compressus (Sw.) P. Beauv.

Overall Species Distribution

The study revealed a total of 60 species belonging to 53 genera and 27 families in the sampled area (Figures 2, 3A,B and Table 2). The environment was dominated by two angiosperm families, Asteraceae and Poaceae, each represented by seven species. The genus Ipomoea L. (n = 3 species) and five other genera [Borreria G. Mey, Desmodium Desv., Dioscorea Plum. Ex L., Euphorbia L., and Phyllanthus L. (n = 2 species each)] were dominant. The distribution of the 60 species into the life-form categories was as follows: forb (27 species), climber (12 species), grass (9 species), shrub (7 species), and tree (5 species) (Figure 3C).

FIGURE 2

FIGURE 3

TABLE 2

S/NFamilySpeciesLife-formIZ
CZIUCN status
FR.F (%)D (M2)R.D (%)
1Acanthaceae Juss.Asystasia gangetica (L.) T. AndersonForb11.111.450.041.47NA
2Amaranthaceae Juss.Alternanthera sessilis L.Forb11.111.450.041.47_LC
Cyathula prostrata (L.) BlumeForb____NA
Gomphrena celosioides Mart.Forb____NA
3Anacardiaceae (R.Br) Lindl.Mangifera indica L.Tree____DD
Spondias mombin Jacq.Tree____NA
4Araceae Juss.Colocasia esculenta (L.) Schott.Forb11.111.450.041.47LC
5Asteraceae Bercht. and J. PreslAgeratum conyzoides (Mill.) M. SharmaForb77.7810.140.2810.29NA
Chromolaena odorata (L.) R. M. King and H. Rob.Shrub55.567.250.27.35NA
Emilia coccinea (Sims) G. DonForb22.222.900.082.94NA
Synedrella nodiflora (L.) Gaertn.Forb11.111.450.041.47NA
Tridax procumbens L.Forb11.111.450.041.47_NA
Vernonia cinerea L.Forb____NA
Aspilia africana (Pers.) C.D. AdamsForb22.222.900.082.94_NA
6Commelinaceae Mirb.Commelina diffusa Burm.f.Forb11.111.450.041.47_LC
7Convolvulaceae Juss.Ipomoea cairica (L.) SweetClimber11.111.450.041.47NA
Ipomoea hederifolia L.Climber____NA
Ipomoea involucrata Beauv.Climber33.334.350.124.41_NA
8Costaceae NakaiCostus afer Ker Gawl.Forb11.111.450.041.47_NA
9Cucurbiataceae Juss.Luffa cylindrica M. Roem.Climber____NA
10Cyperaceae Juss.Kyllinga erecta Schumach.Sedge____NA
Mariscus alternifolius VahlSedge____NA
11Dioscoreaceae R.Br.Dioscorea alata L.Climber11.111.450.041.47_NA
Dioscorea sp.Climber11.111.450.041.47_NA
12Euphorbiaceae Juss.Alchornea cordifolia (Schumach. and Thonn.) Müll.Arg.Shrub22.222.900.082.94_NA
Euphorbia heterophylla L.Forb____NA
Euphorbia hirta L.Forb____NA
Manihot esculenta CrantzShrub22.222.900.082.94NA
Phyllanthus amarus Schumach. and Thonn.Shrub11.111.450.041.47_NA
Phyllanthus muellerianus (Kuntze) ExellShrub11.111.450.041.47_NA
13Fabaceae Lindl.Peltophorum pterocarpum (DC.) K. HeyneTree____NA
Calopogonium mucunoides Desv.Climber55.567.250.27.35NA
Centrosema pubescens Benth.Climber11.111.450.041.47_NA
Desmodium tortuosum (Sw.) DC.ClimberNA
Desmodium triflorum (L.) DC.Climber11.111.450.041.47LC
14Lamiaceae MartinovSolenostemon monostachyus (P. Beauv.) Briq.Forb____NA
15Loganiaceae R.Br. ex Mart.Anthocleista vogelii Planch.Tree22.222.900.082.94_NA
16Malvaceae Juss.Abelmoschus esculentus (L.) MoenchShrub____NA
Sida acuta Burm.fil.Forb____NA
Urena lobata L.Shrub22.222.900.082.94NA
17Melastomataceae Juss.Tristemma hirtum P. Beauv.Forb11.111.450.041.47_NA
18Onagraceae Juss.Ludwigia sp.Forb____LC
19Passifloraceae Juss. ex RousselAdenia cissampeloides (Planch. ex Hook.) HarmsClimber11.111.450.041.47_NA
20Piperaceae GisekePeperomia pellucida (L.) KunthForb____NA
21Poaceae BarnhartAxonopus compressus (Sw.) P. Beauv.Grass33.334.350.124.41NA
Brachiaria deflexa (Schumach.) C.E. Hubb. ex RobynsGrass11.111.450.041.47NA
Eleusine indica (L.) Gaertn.Grass____LC
Imperata cylindrica (L.) Raeusch.Grass11.111.450.041.47_NA
Panicum maximum Jacq.Grass66.678.700.248.82NA
Pennisetum purpureum Schumach.Grass11.111.450.041.47_NA
Setaria barbata (Lam.) KunthGrass11.111.450.041.47NA
22Portulacaceae Juss.Talinum triangulare (Jacq.) Willd.Forb____NA
23Pteridaceae E.D.M.KirchnAdiantum sp.Fern11.111.450.041.47_NA
24Rubiaceae Juss.Borreria ocymoides (Burm.f.) DC.Forb33.334.350.124.41_NA
Borreria verticillata (L.) G. Mey.Forb11.111.450.041.47_NA
Diodia scandens Sw.Climber11.111.450.041.47_NA
Oldenlandia corymbosa L.Forb11.111.450.041.47LC
25Thelypteridaceae Ching ex Pic. Serm.Cyclosorus sp.Fern11.111.450.041.47_NA
26Ulmaceae Mirb.Trema orientalis (L.) Bl.Tree____NA
27Urticaceae Juss.Laportea aestuans (L.) Gaud.Forb____NA

Species diversity, occurrence, and conservation status in the study area.

F, Frequency; R.F, Relative frequency; D, Density; R.D, Relative density; _, Absent, √, Present, NA, Not Assessed, DD, Data Deficient, LC, Least Concern.

Species Diversity Comparison Between IZ and CZ

Comparatively, each zone had 38 species spread across genera (IZ = 34 and CZ = 35) and families (IZ = 18 and CZ = 19) (Figure 3A and Table 2). The dominant species within the IZ were Ageratum conyzoides (Mill.) M. Sharma (frequency = 77.78%, R.F = 10.14%, density = 0.28 m2, and R.D = 10.29%), Panicum maximum Jacq. (frequency = 66.67%, R.F = 8.70%, density = 0.24 m2, and R.D = 8.82%), Calopogonium mucunoides Desv. (frequency = 55.56%, R.F = 7.25%, density = 0.2 m2, and R.D = 7.35%), and Chromolaena odorata (L.) R. M. King and H. Rob (frequency = 55.56%, R.F = 7.25%, density = 0.2 m2 and R.D = 7.35%).

In both IZ and CZ, Ipomoea (n = 2 species each) was the dominant genus. Three genera (Borreria, Dioscorea, and Phyllanthus) and two genera (Desmodium and Euphorbia) each represented with two species were dominant in both zones.

Twenty-two species were exclusive to each zone, while 16 species were common to both zones; A. conyzoides, Asystasia gangetica (L.) T. Anderson, Axonopus compressus (Sw.) P. Beauv. Brachiaria deflexa (Schumach) C.E. Hubb. ex Robyns, C. mucunoides, C. odorata, C. esculenta, Desmodium triflorum (L.) DC., Emilia coccinea (Sims) G. Don, Ipomoea cairica (L.) Sweet, Manihot esculenta Crantz, O. corymbosa., P. maximum, Setaria barbata (Lam.) Kunth, and Synedrella nodiflora (L.) Gaertn., and Urena lobata L. (Table 2 and Figure 3D).

The floristic inventory revealed that there were eight families (Commelinaceae, Costaceae, Dioscoreaceae, Loganiaceae, Melastomaceae, Passifloraceae, Pteridaceae, and Thelypteridaceae) and nine families (Anacardiaceae, Cucurbitaceae, Cyperaceae, Lamiaceae, Onagraceae, Piperaceae, Portulacaceae, Ulmaceae, and Urticaceae) unique to the IZ and CZ, respectively; the zones had ten families in common. The shared families were Acanthaceae, Amaranthaceae, Araceae, Asteraceae, Convolvulaceae, Euphorbiaceae, Fabaceae, Malvaceae, Rubiaceae, and Poaceae (Figure 3B). Among these, Asteraceae and Poaceae were dominant in the IZ and CZ, represented with six and five species, respectively (Table 2). All the life-form categories were found in the IZ and CZ (Figure 3B).

The diversity indices revealed that Plot 2 had the highest diversity, as confirmed by Simpson, Shannon and Margalef values of 0.09, 2.66, and 4.35, respectively. In contrast, Plot 4 had the highest Dominance (0.50), Evenness (∼1.00), and equitability values of (∼1.00). The diversity indices for the pooled CZ were as follows: Dominance index (0.36), Simpson (0.64), Shannon—Wieners (1.25), Margalef (1.13), Evenness (0.70), and equitability values (0.77) (Table 3).

TABLE 3

Sampled pointsIncident zone
Pooled control zone
Indices12345678
Dominance_D0.1840.0880.095110.50170.38410.27790.280.3581
Simpson_1-D0.8160.9120.90490.49830.61590.72210.720.6419
Shannon_H1.8852.662.5210.69141.1151.3351.3321.247
Margalef2.2034.3463.4630.3531.0590.95680.9321.134
Evenness_e^H/S0.82370.7940.82970.99830.76240.94990.94730.6959
Equitability_J0.90670.92020.93110.99750.80440.96290.9610.7747

Species index table for the sampled points with in the studied area.

The floral composition also included agricultural species [Abelmoschus esculentus (L.) Moench., Colocasia esculenta (L.) Schott., Dioscorea sp., Manihot esculenta Crantz]. The frequently encountered species outside the quadrat were Anacardium occidentale L., Ficus Tourn. ex L. sp. and Lantana camara L. in the CZ and Cyperus L. sp. and Hyptis suaveolens (L.) Poit. in the IZ.

Conservation Status of the Species in the Study Area

The conservation status of the following species based on the IUCN global assessment, Alternanthera sessilis (L.), Spondias mombin Jacq., C. esculenta, D. triflorum, Eleusine indica (L.) Gaertn., O. corymbosa, C. diffusa, I. cairica, K. erecta, Alchornea cordifolia (Schumach. and Thonn.) Müll.Arg., Urena lobata L., Geartn, Imperata cylindrica (L.) Raeusch., Anthocleista vogelii Planch., Pennisetum purpureum Schumach, Trema orientalis (L.) Bl., and the Pan-Africa assessment for A. conyzoides was LC. Mangifera indica L. and M. esculenta were DD, while others were NE for those not accessed or ND for those not identified to the species level (Table 2).

Discussion

The floristic composition of the sampled area was examined based on the impact of coal mining, farming, and climate change (precipitation). For instance, the annual rainfall for Enugu in 2016 (NIMET, 2017) was more than the average quantity recorded in the past (Ofomata, 1965; Ezeigbo and Ezeanyim, 1993; NIMET, 2013; Okwu-Delunzu et al., 2018). The increase in annual rainfall might have contributed to species diversity within the Coal Camp. Thus, it was not surprising that plants in the inventory were characteristic of forests, uplands, flooded and wet places.

The observed change in vegetation from tropical rain forest to savannah grasslands due to anthropogenic activities had also been reported by Ezeigbo and Ezeanyim (1993). The registered cultivated species are due to their propagation by the human communities, and their management is still carried out for consumption and income. This practice could also have contributed to the disruption of the natural succession within the study area.

The species distribution on the coal dumpsite (IZ) was compared with that from an area presumed free of visible coal discards (CZ) but not pristine. Since we had no access to pristine vegetation, reference was made to a technical report detailing a field survey of Abor (Environmental and Social Impact Assessment [ESIA], 2016), about 15 km away, which we adopted as baseline data for use as pre-mining information on the vegetation. We found similarities in the species composition between the reference survey and our study area (A. vogelii, A. cordifolia, S. mombin, A. africana, C. odorata, A. gangetica, and E. indica). However, our study failed to record some tree species (Parkia biglobosa, Khaya senegalensis, Baphia nitida, and Daniellia oliveri). Reasons for this is due to fewer anthropogenic activities and semi-tropical rainforest vegetation type (Environmental and Social Impact Assessment [ESIA], 2016).

The unequal sampling frequency between the IZ and CZ due to patchiness impeded the comparison of species richness and diversity for both zones. Instead, presence and absence were used (Table 2). From our study, both areas shared moderately similar species composition (family 37.04% and species 26.67%), contrasting previous studies where species diversity was higher in the pre-mining/unpolluted sites than in the polluted/reclamation sites (Komara et al., 2016; Hapsari et al., 2020). On the other hand, life forms such as forbs, grasses and trees in our CZ were higher than the polluted study area. The observed distribution patterns between both zones are driven by similar edaphoclimatic and physiographic features; the observed heterogeneity in species distribution within the IZ could have been due to the post-impact of coal mining activities and human activities. This may underlie the highest species diversity observed in this location.

The dominance of the families Asteraceae and Poaceae (Table 2 and Figure 3A) in the revegetation of the coal dumpsite conform with other studies. For instance, they have been reported as the principal colonizers in a Kosovo coal ash dump site (Mustafa et al., 2012) and a Moravia dumpsite in Colombia (Sánchez-Pinzón et al., 2010). Ekka and Behera (2011) also noted that Poaceae was the prominent family in revegetation of 3–9-year-old dump sites post-coal mining. On the other hand, A. conyzoides, P. maximum, C. mucunoides and C. odorata were the most commonly found species in the study area. In line with previous studies, these species have been reported in various coal mining sites (Sánchez-Pinzón et al., 2010; Komara et al., 2016; Novianti et al., 2017; Yusuf and Arisoesilaningsih, 2017; Igwenagu et al., 2019; Hapsari et al., 2020). The frequent occurrence of these species in polluted sites might be due to their invasive nature (Borokini, 2011). Additionally, these species seem to have a highly competitive rate, ease of seed germination, and high resistance to varying environmental and soil conditions.

Our evaluation of species composition within the study area exposed the impact of previous mining activities and their waste on vegetation structure. Data from the IUCN Assessment revealed that most of the species being NE and DD were not in the conservation status spectrum, and the remnant quarter belonged to the Lower risk category of LC. there were no Threatened species within the sampled area., Therefore, there were no endangered, vulnerable or threatened species within the study area except for the trees. Even so, an assessment scheme needs to be established to monitor the remnant biodiversity within the study area for posterity.

The Economic Tree Species Present in the CZ Were M. indica, and A. occidentale. Food Crops encountered during the study include C. esculenta (IZ and CZ), Dioscorea spp. (IZ), M. esculenta (IZ and CZ). In agreement with previous studies, one or multiple of these species (C. esculenta and M. esculenta) have been found in some coal mine sites (Panda et al., 2011; Komara et al., 2016; Arshi, 2017; Igwenagu et al., 2019). Previously, some economic tree species that were logged from this ecological zone include Canarium schweinfurtii (black pear), Pentaclethra macrophylla (oil bean), Garcinia kola (bitter kola), Vitex doniana (black plum). Milicia excelsa (Iroko) Khaya ivorensis (mahogany) Nauclea diderrichii (Opepe) (Ogbonna et al., 2015). These species have disappeared as none was present in this current study. Anthropogenic activities such as overexploitation and habitat fragmentation and might have influenced the forest structure reducing the trees to mostly forbs. Those species would have been exploited because of their peculiar wood qualities (M. excelsa, K. ivorensis) and medicinal uses (P. macrophylla).

Revegetation for conservation must be mandatory for the maintenance of the ecosystem and future use of the area. There is a need to remove the invasive species as they could hinder profitable species (Yusuf and Arisoesilaningsih, 2017).

Conclusion

Our study evaluated the biodiversity assessment of a defunct coal mine site (IZ) and found marginal differences between its species composition and those within the CZ. This may be due to the fact that mining had ceased entirely at this location about 15 years ago. Post-mining activities (e.g., farming and community development projects) and the plasticity of the species surviving harsh climatic and environmental conditions, could explain the species population dynamics within the study area. Nevertheless, we propose future studies to investigate the rhizospheric microbial communities and their metabolic roles in coal degradation. This study could provide insights into the sustenance of plant growth in coal polluted environments. Our findings iterated the continuous decline of biodiversity in the Nigerian ecosystem following the irrational use of the resources. Although the study site might not be considered a high conservation priority area, a habitat restoration scheme for maintaining the ecosystem is recommended. Lastly, from the findings of this study, it would be helpful to form a guideline for future conservation management of the study area.

Statements

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.

Author contributions

AO participated in the collection of experimental data for floral distribution, data analysis, and interpretation. EI participated in the conception and design of floral distribution experiments. OO participated in the conception and design of floral distribution, collection of experimental data, data analysis, and interpretation. IN initiated the research idea, participated in the conception, design, data analysis, and interpretation. All authors participated in writing and approved the final manuscript.

Acknowledgments

We thank Gloria U. Anorue, Department of Botany, University of Lagos, for participating in the collection of experimental data and Mr. Anorue for his assistance during the field trips.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Summary

Keywords

sub-bituminous coal, flora, diversity index, conservation status, incident zone, control zone

Citation

Nsa IY, Oyebanji OO, Igbinigie EE and Odunsi AA (2021) Floral Distribution of a Sub-Bituminous Coal Dumpsite in Enugu, Nigeria. Front. Ecol. Evol. 9:649954. doi: 10.3389/fevo.2021.649954

Received

05 January 2021

Accepted

04 May 2021

Published

09 June 2021

Volume

9 - 2021

Edited by

Yudi Setiawan, IPB University, Indonesia

Reviewed by

Inayat Ur Rahman, Hazara University, Pakistan; Zeeshan Ahmad, Quaid-i-Azam University, Pakistan

Updates

Copyright

*Correspondence: Imade Y. Nsa,

This article was submitted to Conservation and Restoration Ecology, a section of the journal Frontiers in Ecology and Evolution

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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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