Volume 2024, Issue 1 6520568
Research Article
Open Access

Plant Biodiversity, Wetland Indicators, and Ecosystem Analysis of Human-Made Wetlands in Central Ethiopia

Admasu Moges

Corresponding Author

Admasu Moges

Department of Biology , College of Natural and Computational Sciences , Debre Berhan University , P.O. Box 445, Debre Berhan , Ethiopia , dbu.edu.et

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Abyot Dibaba

Abyot Dibaba

Department of Biology , College of Natural and Computational Sciences , Debre Berhan University , P.O. Box 445, Debre Berhan , Ethiopia , dbu.edu.et

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First published: 09 December 2024
Academic Editor: Gowhar Meraj

Abstract

Despite vital in conserving biodiversity, most natural wetlands were degraded and declined in numbers due to anthropogenic factors, thereby human-made wetlands have been established in Ethiopia. Thus, this study aimed to analyze plant diversity, wetland indicators, characteristic species, and ecosystem conditions of Ethiopian highland human-made wetlands. A systematic sampling design was employed for laying 20 quadrats (2 m2 each) in each wetland at a 50-m interval, where plant specimen sampling and cover estimation were made. A survey identified 74 plant species. These species belong to 26 families and 57 genera. Notably, 92% of the identified plants were herbs. Asteraceae and Poaceae were the most dominant families. The richness of Washa and Borale sites was 51 and 64, respectively, showed a significance difference at p < 0.05. The Shannon diversity and evenness of Washa and Borale sites were 2.32 and 0.93, and 2.53 and 0.96, respectively, also displayed significant differences at p < 0.05. Yet, 71% plant species similarity was observed between the two wetlands. In each wetland, > 52% and < 30% species were upland and wetland indicators with many annual species, respectively, indicating the ecosystem disturbance of the two wetlands and their being invaded by upland species. The ecological condition of Washa and Borale were also directly rated as mid-and high-impaired sites, respectively. Briefly, despite both Washa and Borale wetlands rich in plant diversity, they differed significantly in average richness, diversity, and evenness, besides in the richness of their upland and annual species, due to likely variations in their ecological and hydrological modifications. Hence, urgent in situ and ex situ community-based participatory restoring strategies are required.

1. Introduction

Wetland ecosystems are essential in conserving wetland biodiversity and in delivering vital ecosystem services for human well-being [1, 2]. For instance, wetlands like ponds/small reservoirs provide sustainable solutions to key issues of water management and climate change such as nutrient retention, flood regulation, and carbon sequestration [3]. Many Ethiopian wetlands also provide multiple ecosystem services [4] and major contribution to the local people, chiefly being the major source of water for irrigation, fish, livestock, and human drink, and cleaning, as well as materials like grasses and fodder [27]. However, household and city waste, deforestation, and polluted runoff from farms are harming wetlands by increasing nutrient and sediment levels [8]. These vital ecosystems are further threatened by urban sprawl, pollution, human intrusion, and climate change [9]. This might be due to these factors, half of the world’s natural wetlands have vanished since 1900 [10]. Ethiopia’s wetlands have suffered greatly as well, due to factors like expanding agriculture and grazing lands, resource extraction (water, sand, and soil for ceramic), urbanization, and invasive species [4, 7, 1113]. The situation is worsened by a lack of data and strong wetland protection policies [4, 14]. Still, limited land access and large families have led to encroachment on wetlands for farming, grazing, and housing [4, 13, 15]. The best exemplary sites for their degradation are the highland wetlands [7, 11, 13] and Rift Valley lakes [4, 6]. Thus, these anthropogenic factors have threatened biodiversity, impaired the environmental functions of the wetlands, and affect people’s livelihoods [4, 5], besides creating potential influences on climate, ecological security, and human health [16].

These all pressures and effects are, therefore, demanding the creation of artificial wetlands in these vulnerable African countries including Ethiopia for coping with the challenges. It seems due to this that the Ethiopian government currently has focused on the development of many small-scale irrigation schemes of < 200 ha [17] via constructing small reservoirs (artificial wetlands) like those of Washa and Borale ones. The human-made wetlands (e.g., Boye) are also essential in supporting more plant biodiversity than natural wetlands (e.g., Haro, Agaro, Duda, and Bonchie) in southwestern Ethiopia [5]. Magee et al. [18] from the United States and Levy [10] from Florida and Australia also reported as artificial wetlands had more richness in plant and bird species than the nearby natural wetlands, respectively. Moreover, to the best of the present authors’ knowledge, the current plant biodiversity and ecological status of present wetlands were not yet studied. Consequently, understanding the biodiversity and health of Ethiopian wetlands requires further research on human-made ones. This study aimed, therefore, to address these gaps by (1) analyzing the composition and diversity of plant species, (2) identifying indicator and dominant plant species in the wetlands, and (3) assessing the overall ecological health of the wetlands. This information will be valuable for local stakeholders, authorities, and decision-makers. They can use these scientific data to make informed decisions regarding wetland management through prioritizing wetlands based on the financial resources they have.

2. Materials and Methods

2.1. Study Area

This study was conducted at two human-made wetlands, locally known as Washa and Borale. These wetlands are located in Kebele 01, Debre Birhan Regio-Politan Town (DBRPT), within the North Shewa Zone of Central Ethiopia (Figure 1). Both Washa and Borale lie outside the center of the town, at distances of 10 and 15 km, respectively. Their respective elevations are 2763 and 2832 m above sea level (m.a.s.l.). Washa’s geographic coordinates are 9°39′45″ N, 39°32′45″ E, while Borale’s are 9°39′62″ N, 39°32′36″ E. DBRPT experiences a range of temperatures, with an average annual minimum of 2.3°C and a maximum of 22°C. The average annual rainfall for the area is 906 mm [19]. These human-made wetlands serve a vital role for the local community. They provide essential water resources, as well as habitat for fish, birds, and various micro- and macroaquatic organisms. Observations within the wetlands’ catchments revealed diverse activities, including farming, grazing, small woodlot plantations, settlements, and water extraction for irrigation. These human activities placed stress on the two wetlands, particularly Borale, causing ecological damage and water scarcity. During the long dry seasons (December to May), the water levels in the wetlands dropped significantly, leading to a serious water shortage for local people, who rely on it specifically for irrigation and cattle watering, besides for others.

Details are in the caption following the image
The study area map with the specific locations of the two reservoirs/dams.

2.2. Study Site Selection

The Washa and Borale sites were selected due to their offering socioeconomic services to the localities and the commencement of conversion of the upper catchments and wetland parts at the downstream into agricultural and grazing lands, which in turn lead to reservoirs’ water reduction and degradation.

2.2.1. Washa Site

This human-made site was constructed in 1995 by a local nongovernmental organization (NGO) called Lutheran with the main aim of providing water for fisheries, irrigation, and livestock watering. The site comprised a reservoir (12 ha), the periphery part of the reservoir (16 ha), and irrigated land at downstream (28 ha). However, the samples were collected from the reservoir edges, since the centers of the reservoirs and surrounding irrigated lands were inaccessible. This is because the central zones were too deep, and the cultivated lands were perpetually under crops, offering no easy access for sample collection. The site is fed by seasonal flooding and small streams draining its catchment from the end of June to the beginning of September. The reservoir was designed to hold 91, 875 m3 water with 14-m depth, as informed by experts from Department and Office of Agriculture at zonal and urban levels, respectively. The catchment and its surrounding wetlands were characterized by farming, grass harvesting/grazing, and settlement activities. There was also high water extraction from the reservoir for irrigation and livestock watering, especially in the long dry season, from December to May.

2.2.2. Borale Site

It was constructed in 2007 by the Bureau of Agriculture of Amhara Regional State to provide water for irrigation, fisheries, and livestock watering. Borale site consisted of a reservoir (17 ha), the peripheries of the reservoir (17 ha), and irrigated land at the downstream (120 ha). However, the plot samples were taken from the periphery parts like that of the Washa site. The reservoir is fed by seasonal flooding and three small streams draining its catchment, particularly in the rainy season. It was designed to hold 280,000 m3 of water with 14-m depth. Grazing, grass harvesting, farming, and water extraction for irrigation were also the main activities executed in and around the site.

2.3. Sampling Design, Vegetative Data Collection, and Identification Procedures

To observe the changes of plants and hydrological and ecosystem landscape in the wetlands during the dry and wet seasons, and determine the sampling design, a reconnaissance survey was carried out for 2 weeks in May and September 2019. Accordingly, a systematic sampling design was employed for laying out the quadrats in both sites. For this, reservoir boundaries were firstly delineated with the maximum extent of flooding or the edge of depressions. Since almost all plants of the peripheries were herbaceous, a 1 × 2 m quadrat size [20] was fixed for maximizing to get more species. Then, the quadrats were laid out in the peripheries of the reservoirs. The plant sampling was made using 50-m intervals between two consecutive quadrats. Yet, where the periphery sites were wide enough, adjacent quadrats were aligned parallel to one another, 50 m apart. Hence, 40 total quadrats (20 per site) were laid out in the study area.

The specimens and percent cover of all vascular plant species encountered in each quadrat of the study area were collected and estimated, respectively. Accordingly, the specimens were collected at the end of the rainy and dry seasons. The first round plant specimens’ collection was made in October 2020 at the end of the rainy season, and the second round in February 2021 during the dry season. The aerial ground cover-abundance value of each herbaceous species was determined in percent (%) using ocular estimation and immediately converted into the Braun–Blanquet (BB) scales ranged from 1 to 9 as modified by van der Maarel [21]: 1 for 1–3 individuals; 2 for some individuals (0.5%–1.5%); 3 for some individuals (1.5%–3%); 4 for some individuals (3%–5%); 5 for some individuals (5%–12.5%); 6 for some individuals (12.5%–25%); 7 for some individuals (25%–50%); 8 for some individuals (50%–75%); and 9 for some individuals (75%–100%). Accordingly, the whole specimens collected, dried, and pressed were taken to Debre Berhan University for identification using the flora volumes of Ethiopia and Eritrea [2230]. However, for further identification and approval being assisted by expert, mounted specimens, and microscope, the whole specimens were taken to the National Herbarium (ETH) of Addis Ababa University. Additionally, wetland indicator species status [obligate wetland (OW), facultative wetland (FW), facultative (F), facultative upland (FU), and obligate upland (OU) plants], perennial, annual, and native/non-native species were determined being assisted by experts and published documents including the flora volumes of Ethiopia and Eritrea [2232]. Finally, the voucher specimens were placed there.

2.4. Field Checklist and Human Disturbance Gradient Score (HDGS) Protocol

The severity of ecosystem condition of wetlands could be estimated using various assessment methods of ecological disturbances. Thus, the field checklist and HDGS protocol of Gernes and Helgen [33] were employed (Appendix A). Based on this, from December 2020 to May 2021, frequent ecological evaluations were carried out during the dry and wet seasons. Hence, the reservoir/wetland type (hydroperiods), geometric setting (flood plain, riverine, and lacustrine), hydrological modification (due to stormwater inputs, filling, culvert, drainage, and ditch inlet and outlet), land-use patterns around the reservoirs, habitat assessment (presence or absence of fauna and flora such as birds, fish, mammals, and dominant macrophytes), and major threats (free grazing, water abstraction, infrastructure, and investment activities) to the reservoirs were assessed to rate the ecological state (natural, agricultural, grazing, or urban impaired) of the reservoirs using a field checklist.

Similarly, the physical buffer landscape disturbance (within 50-m radius) and further landscape disturbance up to 500-m radius from the edges of the reservoir were made (Appendix A). That means the extent of vegetation existence/removal, hydrological modifications, and habitat alterations were evaluated and rated following the protocol. Furthermore, chemical pollutants such as nitrate and phosphate, and the absence or presence of biological data like fish and birds were assessed. For this purpose, data collection from each referenced, mid-, and high-impacted sampling sites of each reservoir, one bottle water sample (1L), was taken for water chemical analysis, besides in situ measures of dissolved oxygen and electric conductivity.

Additionally, field visits and fish nets were made for determining the presence of birds and capturing fish, respectively, since they are considered as good indicators of relatively healthy ecological status. During the field visits, different kinds of birds were observed within the reservoirs and their peripheries. However, gillnets were used for fishing and positioned in the late afternoon (8:00 pm) and inspected after two (10:00 pm) being assisted by local fish catchers, but captured a very few. The dead fish was also found in the periphery of Washa Reservoir. Informal interviews of local experts and individuals were also made about the presence of fish in both reservoirs.

2.5. Data Analysis

2.5.1. Diversity Analysis

For determining the values of diversity indices and wetland indicators and ecological condition of wetlands, R with version 4 and STATA with version 14 software types were applied, respectively. Thus, the diversities of the wetland plants were analyzed and measured using species richness (S), Shannon diversity (H′), evenness (J), and Sorensen’s similarity coefficient (SSC) indices of Shannon and Wiener [34] using the following formulas. The Shannon diversity index (H′) was calculated from the index of
()
where pi is the proportion of individuals found in the ith species so that the summation of the ith, and ln is the number of species, which is multiplied by pi. The values of Shannon diversity index is usually found to fall between 1.5 and 3.5 and only rarely surpasses 4.5 [34, 35].
The Shannon evenness index (J) was also determined from the ratio of observed diversity to maximum diversity using the index of
()
where Hmax is the maximum level of diversity possible within a given population, which is equal ln (number of species). J is normal between 0 and 1, and with 1 represents a situation in which all species are equally abundant [35].
Additionally, to compare the similarities of the community between Washa and Borale of the study area, SSC index was used. This is because the Sorensen index is preferred to that of the Jaccard as it gives more weight to the species that are common to both sites than to the unique species to either site of the wetlands. Thus, the SSC value was determined using the index of
()
where SSC is the Sorensen similarity coefficient, a is the number of species common to both sites, b is the number of species present in one of the sites to be compared, and c is the number of species present on the other site. Often, the SSC is multiplied by 100 to give a percentage similarity figure. The SSC values range from 0 (complete dissimilarity) to 1(total similarity).

The significant differences between the two wetlands for the values of those diversity indices were also tested using a nonparametric Mann–Whitney U-test (simply called U-test) as the field ecological data are mostly not distributed in a normal situation [5].

2.5.2. Wetland Plant Indicator Analysis

In order to identify wetland indicator species, we classified the observed plants into five groups: OW, FW, F, FU, and OU. This classification considered how often each species appeared in wetlands and uplands (details in Supporting File 1) and referenced other relevant studies [2232, 36]. Identifying wetland indicator species is crucial for assessing the ecological health of wetlands [37]. Therefore, we grouped species from OW and FW together as wetland indicators, and FU and OU together as upland indicators. Species classified as F were excluded from both categories because they occur in wetlands and uplands with roughly equal frequency.

2.5.3. HDGS Analysis

Moreover, to determine the ecological status of each reservoir using HDGS, the various data sources were categorized into six factor groups to rate each of them using the severity and extent of alteration ranges from 0 to 18/21 points [33]. At the end, each factor was evaluated and scored into one of the four categories ranging from best to poor, with values ranging from zero to 18/21, respectively [33]. Finally, all scored values of the six factors were summed up to the study wetlands to get their total HDGS, and so, each wetland falls within the range of 0–100 HDGS (Appendix A). The wetlands with total HDGS values falling in either categorical ranges of 0–33, 34–67, or 68–100 are considered as the least impacted, midimpacted, or most impacted sites [33], in order.

3. Results

3.1. Plant Species Composition

Totally, 74 plant species, belonging to 26 families and 57 genera, were identified from both Washa and Borale Wetlands (Appendix B). The Asteraceae, followed by Poaceae (grasses), were the most abundant, with the plants typically found in upland (drier) areas or in ecologically disturbed aquatic systems. Additionally, families like Cyperaceae (sedges), Fabaceae (legumes), Onagraceae (evening primroses), Polygonaceae (buckwheats), and Scrophulariaceae (figworts) were important for the wetlands’ character (Figure 2). However, the remaining 16 families, each with only one genus and one to two species (Supporting file 2), were less common in terms of their distribution and diversity. Interestingly, 14 families were found in both wetlands, while three and nine families were unique to Washa and Borale, respectively, indicating greater family diversity in Borale.

Details are in the caption following the image
The dominant families growing in the study area.

Examining plant habits, the majority (91.89%) were herbs, followed by shrubs (6.75%) and a minimal presence of climbers (1.35%) (Figure 3). This dominance of herbaceous plants aligns with the typical characteristics of aquatic ecosystems, which favor these low-growing species.

Details are in the caption following the image
A diagram illustrating the habits of the species in the study area.

3.2. Diversity, SSC, and Dominant Species of the Study Sites

The gamma diversity (richness) of the overall study area, drawn from 40 total plots, was 74. The species richness distribution in 40 plots of the study area was ranged from eight species (in each plot of 20 and 21) to 20 species (in each plot of 7 and 12). The beta diversity (average richness) via pooling the whole sampling sites (40 plots) of the study area was 14.55. Similarly, the richness of Washa and Borale sites was 51 and 64 species, respectively. The beta diversity through pooling richness of the 20 plots of Washa Wetland and 20 plots of Borale wetland was 11.25 and 13.55, respectively, with their significance difference at p value < 0.05 (p = 0.025) (Table 1). As also presented in Table 1, the Shannon diversity (H′) of Washa and Borale sites was 2.32 and 2.53, respectively, with a significant difference at p value < 0.05. Similarly, the evenness (J) values of Washa and Borale sites were 0.93 and 0.96, respectively, and had a significant difference at p value < 0.05. Moreover, the SSC for the plant species found in Washa and Borale wetlands was 0.71 or 71% (Table 1).

Table 1. The mean values of Washa and Borale sites’ diversity indices with their SE and U-test.
Diversity indices Mean ± SE U-test at p value
Washa (n = 20) Borale (n = 20)
Richness 11.25 + 0.56 13.55 + 0.76 0.025
Shannon diversity (H′) 2.32 ± 0.05 2.53 ± 0.06 0.013
Evenness (J) 0.93 ± 0.01 0.96 ± 0.01 0.011
Sorenson similarity (SSC) 0.71
  • Note: The nonparametric U-test is significant at p value < 0.05.
  • Abbreviation: SE = standard error.

While considering the dominance of the species based on their total cover values and frequency (F) across 20 sample plots (n = 20) at each location (Borale and Washa), the top 15 species for each site are listed in Table 2. Accordingly, at the Borale site, Geranium dissectum L. was the most dominant species with an average cover value of 5.85 and found in 18 plots. Other dominant species included Eleocharis marginatum Hochst. ex Steud, Raven; Cyperus fischerianus G.W. Schimp. ex A. Rich.; Pennisetum thunbergii Kunth; Andropogon abyssinica Hochst; and Snowdenia polystachya (Fresen.) Pilg. These dominant species were found in most of the plots at Borale, ranging from 6 to 19 plots. Similarly, at the Washa site, G. dissectum was also a dominant species, along with E. marginatum, P. thunbergii, L. stolonifera, C. fischerianus, A. abyssinica, Ludwigia stolonifera (Guill. & Perr.), and Eleusine floccifolia (Forssk.) Spreng. These dominant species were found in a majority of the plots at Washa, ranging from 6 to 19 plots (Table 2). Interestingly, these dominant plant species of the two sites are typically found in upland and tend to thrive in ecologically disturbed aquatic environment.

Table 2. Fifteen dominant species of each wetland with their total BBS cover and frequency.
Dominant species Washa (n = 20) Dominant species Borale (n = 20)
Total BBS cover (average) F Total BBS cover (average) F
Geranium dissectum (gedi) 117 (5.85) 18 Geranium dissectum 102 (5.1) 17
Eleocharis marginatum 105 (5.25) 14 Eleocharis marginatum 102 (5.1) 15
Pennisetum thunbergii 103 (5.15) 19 Pennisetum thunbergii 102 (5.1) 17
Cyperus fischeranus 101 (5.05) 14 Cyperus fischeranus 97 (4.85) 16
Andropogon abyssinica 93 (4.65) 19 Andropogon abyssinica 88 (4.4) 16
Eleusine floccifolia 91 (4.55) 18 Snowdenia petitiana 77 (3.85) 13
Ludwigia stolonifera 87 (4.35) 12 Eleusine floccifolia 76 (3.8) 15
Snowdenia petitiana 71 (3.55) 11 Rumex nepalensis 65 (3.25) 15
Carduus nyassanus 34 (1.7) 7 Trifolium decorum 60 (3.0) 11
Argemone mexicana 33 (1.65) 6 Medicago polymorpha 60 (3.0) 11
Rumex nepalensis 32 (1.6) 12 Ludwigia stolonifera 58 (2.9) 7
Pennisetum setaceum 32 (1.6) 7 Carduus nyassanus 58 (2.9) 11
Conyza bonariensis 32 (1.6) 11 Persicaria amphibia 57 (2.85) 8
Trifolium decorum 29 (1.45) 6 Trifolium quaritianum 45 (2.25) 8
Pennisetum sphacelatum 29 (1.45) 6 Alchemilla abyssinica 42 (2.1) 7

3.3. Indicators and Characteristic Species of Wetlands

Looking at the wetland indicator species, the Borale site had the highest abundance in FU category (15 species) and OU category (19 species). This trend continued at the Washa site, where FU species (14) and OU species (13) were again the most common. However, the OW category, which typically thrives in healthy aquatic environments, had the fewest species in both locations. Only 4 species were found in Washa and 6 in Borale. This low number suggests a potential ecological disturbance in these two reservoirs. To summarize the findings, the Washa and Borale sites had a relatively low percentage of wetland indicator species (OW + FW)—14 (27.45%) and 19 (29.68%), respectively.

Conversely, upland indicator species (FU + OU) were much more prevalent, with Washa at 27 (52.94%) and Borale at 34 (53.12%) (Table 3).

Table 3. Wetland indicators and their number across each wetland.
Indicator status Washa site Borale site
OW 4 6
FW 10 13
F 10 11
FU 14 15
OU 13 19
Wetland species (OW and FW) 14 (27.45%) 19 (29.69%)
Upland species (FU and OU) 27 (52.94%) 34 (53.12%)
Total 51 64
  • Abbreviations: F, facultative; FU, facultative upland; FW, facultative wetland; OU, Obligate upland; OW, obligate wetland.

The Washa site revealed ten characteristic (unique) plant species, including Persicaria decipiens (R.Br.) K.L.Wilson, Cyperus pauper Rochat. exA. Rich., Cyperus brevifolius (Rottb.) Hassk, and Commelina diffusa Burm.f (Table 4). These species are mostly growing in relatively healthy aquatic ecosystems. In contrast, the Borale site contained 23 characteristic species, some of which were Typha latifolia L., Guizotia scabra (Yis.) Chiov., Plectranthus punctatus (Lf) L ′Her., Rumex abyssinicus Jacq, and Sida schimperiana Hochst. ex A. Rich (Table 4). These species, however, are more commonly found in ecologically impaired sites. In total, the study identified 33 characteristic plant species across both sites (Table 4). Notably, 90.9% of these were native species, and 54.54% were perennials. Interestingly, 41 species (or 55.4%) were common to both wetlands (Appendix C, Table 5). While examining the wetland indicator categories of these characteristic species, a surprising trend emerged. Over half (57.57%) were classified as upland species (occurring in drier areas or at the fringe of wetlands). OW species and FW species comprised only 39.39%, suggesting a potential ecological disturbance in both reservoirs.

Table 4. Characteristic species of wetlands with their nativity, life cycle, and indicators.
Washa site’s characteristic species Native Life cycle Indicators
Anthemis tigreensis J. Gay ex A. Rich. Yes P OU
Commelina diffusa Burm.f. Yes P FW
Cyperus brevifolius (Rottb.) Hasskn Yes P FU
Cyperus pauper Rochat. exA. Rich. Yes A OW
Emilia leptocephala (Mattf.) C. Jeffrey Yes A FU
Galium acrophyum Hochst. ex Yes P FW
Persicaria decipiens (R.Br.) Yes A OW
Senecio myriocephalus Sch. Bip. ex A. Rich. Yes P OU
Taraxacum officinale Webber ex Wiggers No P OU
Thymus schimperi Ronniger Yes P OU
  
Borale site’s characteristic species
Cyanotis barbata D.Don Yes A FW
Cyperus elegantulus Steud. Yes A OW
Epilobium hirsutum L. No A OW
Ferula communis L. Yes A OU
Guizotia scabra Yes A OU
Helichrysum stenopterum DC. Yes P OU
Inula confertiflora A. Rich. Yes P FU
Juncus effuses L. Yes A FW
Kniphofia foliosa Hochst. Yes A OU
Laggera tomentosa Yes P OU
Ludwigia abyssinica Yes P OW
Medicago lupulina L. Yes A OU
Orobanche minor Smit Yes A FU
Peucedanum mattirolii Chiov. Yes P FW
Plectranthus punctatus (Lf) L′Her. Yes A FW
Rumex abyssinicus Yes A OU
Salix subserrata Willd. Yes P FW
Sida schimperiana Hochst. ex A. Rich Yes P FU
Snowdenia polystachya (Fresen.) Pilg. Yes A OU
Sphaeranthus suaveolens var. abyssinica (Forssk.) DC Yes P OU
Typha latifolia L. No P OW
Verbena officinalis L. Yes P OU
Zehneria minutiflora (L.f.) Sond. Yes P FW
  • Abbreviations: A, annual; B, biannual; F, facultative; FU, facultative upland; FW, facultative wetland; OU, obligate upland; OW, obligate wetland; p, perennial.
Table 5. Common wetland indicator species of two wetlands.
Indicator status In both sites
OB 2
FW 8
F 10
FU 12
OU 9
Wetland plant species (OB and FW) 10 (24.39%)
Upland plant species (FU and OU) 21 (51.22%)
Total 41

A total of 41 (55.4%) common plant species were found in both wetlands. These common species were primarily native (92.68%) and annuals (56.1%) (Appendix C). Perennials made up a smaller portion (17 species, 41.46%), and only one species (2.44%) was biannual. An analysis of these shared plants revealed insights into the wetlands’ health. Over half (51.22%) were upland plant indicators (FU + OU), suggesting alterations to the original wetland habitat. In contrast, only a quarter (24.39%) were wetland indicators (OB + FW), typically associated with healthy aquatic ecosystems. Another quarter (24.39%) were classified as F), meaning they can tolerate both wet and dry conditions. The high number of upland plants suggests ecological disturbance in the wetlands. This indicates potential changes in water levels or habitat modifications that have pushed the ecosystems toward a drier state.

3.4. Ecosystem Condition

The two created wetlands were unlike in their severity of vegetative, habitat, and hydrological changes. Based on the survey made using HDGS format (Appendix A) and field checklist, the HDGS value of each factor for the Washa site was ranged from 3 to 21 and the same thing for the Borale site (Figure 4). For example, the HDGS of landscape disturbance within 500-m radius (Factor 2) was 12 and 18 for Washa and Borale sites, since their landscapes are nearly and all filled with human uses, respectively (Appendix D, Figure 4). However, the buffer landscapes within 50-m radius of the two reservoirs were fair and scored the same vale (12) (Factor 1) of Figure 4. Compared with other factors, hydrological change (Factor 4) and chemical pollution (Factor 5) were high in both wetlands, but higher in landscape disturbance (Factor 2) in Borale site (Figure 4) due to extensive anthropogenic activities such as grazing, farming, urbanization, cattle watering, and water extraction for irrigation, besides the intrusion of cattle, domestic, and urban wastes and other inputs like silts and fertilizers to the reservoirs with floods. Moreover, since fish and birds are found in both reservoirs, they scored the same value of three (Factor 6). Accordingly, the total values of HDGS of Washa and Borale sites were 67 and 80, and belonged to mid- and most impacted wetlands, respectively (Figure 4).

Details are in the caption following the image
The six anthropogenic factors and their estimated values and total sum for rating the ecosystem conditions of the two wetlands, where the total HDGS indicated the midimpacted Washa and high-impacted Borale wetlands (HDGS = human disturbance gradient score).

4. Discussion

The present study was carried out in two human-made wetlands, Washa and Borale, situated in the North Shewa Zone highlands of Central Ethiopia. Based on the findings of this study, the floristic composition, diversity, wetland indicators, and characteristic species were discussed. Additionally, the dominant plant taxa and the overall ecological health (ecological condition) of the wetlands were debated as follows.

4.1. Plant Species Composition

As the results revealed, 74 different plant species identified from 26 plant families from the study area. This supports the idea that wetlands are crucial for protecting biodiversity [6]. Interestingly, even though the wetlands were disturbed by human activities, this created a variety of microhabitats that provided suitable conditions for many plant species to grow, leading to the high plant diversity observed. Handa et al. [38] and Moges et al. [11] also found that human disturbances in ecosystems can create new microhabitats, favoring the establishment of invaders or upland plant species through replacing native aquatic plants.

Regarding the families, Asteraceae and Poaceae were the most common, making up over a third of the total plant species. This finding aligns with similar studies in Ethiopia by Moges et al. [5] and Uganda by Odull and Byaruhanga [39]. These two dominant families also contained a significant portion of the total plant genera. Lamiaceae, Commelinaceae, and Apiaceae were the next most abundant families. This suggests that these dominant and codominant families are better adapted to disturbed wetlands compared to other plant families. This is likely because the wetlands in our study area were rated as moderately and highly impacted by human activities such as drainage, farming, and pollution.

These disturbances can modify the water flow and overall health of the wetland, creating new microhabitats that favor the growth of both native and non-native plants, including some resistant aquatic species. However, these disturbances can also lead to the decline or disappearance of sensitive plant species. As a result, the remaining 16 plant families only contributed a small portion of the total species and genera found in the wetlands.

When comparing the two study sites, Borale Wetland had a higher number of plant families than Washa Wetland. This difference is likely due to the higher level of disturbance in Borale. This finding is similar to previous research types conducted in southwestern highlands of Ethiopia by Mulatu et al. [20] and Moges et al. [5], who reported that disturbed wetlands in Ethiopia tend to have more plant species than undisturbed ones.

Despite unlike in their extent of their ecological disturbances and number of taxa, the two wetlands had common physiognomies in their climate (moisture and temperature) and were located in the same ecological zone. This resulted in over half of the plant families (∼54%) being common to both sites. Climate and altitude are likely the most important factors determining which plant species can grow in these wetlands.

Finally, this study found that the wetlands primarily consisted of herbaceous plants (∼92%), followed by shrubs (∼7%), and climbers (∼1). This is likely due to the frequent human activities around the wetlands, such as farming and grazing. This is likely due to the frequent human activities around the wetlands, such as farming, grazing, water extraction for irrigation, and settlement, which may have removed larger plants like trees and shrubs. Additionally, wetlands with surface or shallow subsurface water tend to support more herbaceous plants than other plant types. This finding is consistent with previous studies by Mulatu et al. [20] and Moges et al. [5].

4.2. Plant Diversity, Dominant, and Similarity of Plant Species in Wetlands

The scientists used various methods to evaluate the richness and spread of plant life across each wetland. Richness is an apt measure of diversity, and the richness of a range of habitats (of both wetlands) is also termed as gamma diversity, but the average richness is called beta diversity [40]. Yet, the total number of species per wetland site is called alpha diversity [41]. Thus, besides Shannon diversity and evenness, the species richness (S) is the most repeatedly used index [42] for comparing the diversity between sites (wetlands) [43], as discussed as follows.

4.2.1. Species Richness

This refers to the total number of plant species found in an area. The study found a high overall richness (gamma diversity) of 74 plant species across the entire study area. Within individual plots (2 square meters), the richness ranged from 8 to 20 species, with an average of 14.55 species per plot. This indicates a relatively high number of plant species per square meter compared to other land-use systems. Still, there were the variations in species richness (alpha diversity) and beta diversity between Washa and Borale wetlands. These all indicated that Borale supported more species than Washa. Murillo-Pacheco et al. [44] also reported similar findings that in aquatic plants, there are marked differences in alpha diversity among all study sites.

4.2.2. Shannon Diversity and Evenness

These indices consider both the number of species and their relative abundance, while both wetlands showed moderate diversity and high evenness (uniform distribution of species). However, based on the nonparametric U-test, Borale had a significantly higher Shannon diversity index (H′ = 2.53) and evenness (J = 0.96) compared to Washa (H′ = 2.32 and J = 0.93) at p value < 0.05. This suggests a greater diversity and evenness distribution of plant species in Borale than Washa sites. The researchers attributed this difference to the higher human impact on the Borale site, which could be due to the extent of variations of the anthropogenic activities taking place in and around the two study sites. This is because wetlands in nature are dynamic ecosystems; there are always ecological changes or disturbances in wetlands due to anthropogenic activities [6]. Connell [45] and Moges et al. [5] also reported that environmental disturbance, heterogeneity, and competitive exclusive processes are also the determinant factors, resulting in increasing their diversity. Generally, diversity patterns seem to be driven by high landscape heterogeneity and wetland management.

4.2.3. Comparison With Natural Wetlands

Interestingly, the human-made wetlands in this study exhibited higher plant diversity than natural wetlands in other parts of Ethiopia. For instance, the natural wetlands such as Haro, Agaro, Bonchie, and Duda [5] and another nonagricultural impacted wetland [20] from the southwestern parts of Ethiopia were less rich in species than the present artificial wetlands. Similar studies in the United States [18] and others (Florida and Australia) [10] confirmed that artificial wetlands supported a greater diversity of plant and bird species than their natural counterparts, respectively. Overall, the study highlights the interesting phenomenon of human-made wetlands sometimes harboring a greater variety of plant life compared to natural ones. However, it is important to note that many of these species might be invaders introduced by human activity. Maintaining a balance between promoting plant diversity and managing invasive species is crucial for sustainable wetland management.

4.2.4. Dominant Species and Similarity

The species E. marginatum, C. fischerianus, L. stolonifera, P. thunbergii, and G. dissectum were the most common dominant species in the two wetlands, besides other common, but nondominant species. Thus, this study identified several common plant species present in both Washa and Borale, indicating more similarity in their plant communities. This finding was further confirmed by a statistical analysis of SSC showing a 71% similarity in species composition between the two wetlands. Barbour et al. [46] also reported that any two plant communities have more than 50% similarity showed the same association. Additionally, Kent and Coker [47] and Kent [35] stated that a comparison is made between all pairs of quadrats of a study area, or between two sites, a similarity or dissimilarity matrix is produced. Thus, based on this general rule, the Washa and Borale sites had similarities in their plant composition, but dissimilarity between the natural [2, 48] and the present human-made settings.

4.3. Indicators, Characteristics, and Common Species of Wetlands

Evaluating individual plant species as indicators of the physical environment in wetlands is currently becoming one of the means to show the ecological condition of wetlands. According to Lawton and Gaston [49], a group of wetland indicators that reflect the abiotic or biotic state of an environment provide evidence for environmental change. Accordingly, as revealed in the results, the majority of the plant species identified from the whole study area was upland indicators (21, 51.22%), whereas the wetland indicators were smaller in number (10, 24.39) (Table 5). Even while considering each wetland indicator species (Table 3), many species of Washa (52.94%) and Borale (53.12%) were uplands, indicating the two wetlands’ ecosystem disturbance, particularly the Borale’s one. As also described here, in the characteristic and common species of wetlands, many of them were upland indicators, implying hydrological and ecosystem changes of the studied wetlands.

The characteristic species are species that characterize the specific site or habitat being unique to only that of other sites of the study area. Thus, 10 characteristic species were identified from Washa site, of which Persicaria decipiens, Cyperus pauper, Cyperus brevifolius, and Commelina diffusa were chiefly unique and wetland indicators of Washa, and relatively showed good health condition of the wetland. Contrarily, of the 23 characteristic species identified from Borale Wetland, the plant species including T. latifolia, L. tomentosa, Guizotia scabra, Plectranthus punctatus, Rumex abyssinicus, and Sida schimperiana are considered as good indicators of ecosystem disturbance. Moreover, some of these characteristic plants such as T. latifolia and Emilia leptocephala (Mattf.) C. Jeffrey are indicators of water pollution. As also reported by Moges et al. [5] from Jimma highlands, Boye human-made wetland was highly impaired and invaded by T. latifolia (and Emilia leptocephala). In contrast, from the total characteristic species (33), 90.9% and 54.54% were native and perennials, respectively. This indicates the potentiality of the study sites to be restored, if a good management of the sites is made in the future.

Additionally, 55.4% species were found in both Washa and Borale wetlands, of which 92.68% and 56.1% were native and annual species, respectively, and 24.39% and 51.22% were wetland and upland indicator species, respectively. This also indicates that the majority of indicator species growing in both wetlands were uplands, which might be due to their ecosystem disturbance/changes that could be suitable for growing native upland species invasively (randomly). This finding is in line with Thompson et al. [37]. These all also imply that the invasion of/exotic/alien species in the study sites was very low; however, due to their ecosystem disturbances, many of the aquatic plants were replaced by native and annual upland invaders. Still, those OB, FW, and F characteristic species together represent about 41%, which grow and easily adapt the wetland ecosystems, and which indicate the restoration potential of the wetlands.

4.4. Ecosystem Condition of Wetlands

Finally, based on the assessment made in and around the study sites using the protocol of Gernes and Helgen [33], besides the field checklist, both wetlands, particularly Borale, were impaired due to the anthropogenic activities such as farming, grazing, cattle watering, water extraction for irrigation, and entry of other inputs to the reservoirs with floods. Thus, Borale Wetland was higher disturbed than Washa one. This might be owing to Washa Wetland’s buffer zone, relatively covered with grasses up to 50-m radius, despite farming in between. Additionally, the parts of the catchment of this wetland were nontilled land compared to Borale site. However, owing to free grazing in the catchment including the buffer zone of the Washa site, the water quality was relatively poor than the Borale’s one. Hence, the two study sites were different depending on the extent and severity of their habitat, vegetation, and hydrological alterations; buffer and upper catchment landscapes; and chemical stressors. The analysis of plant indicators also showed that the majority of the two sites’ species were upland indicators due to habitat and hydrological modifications, resulting in the replacement of aquatic plants with upland species. Generally, the changes of the landscape and land size of wetlands are indicators of ecological degradation [50], besides wetland indicator status [31, 36, 51].

5. Conclusions

Seventy-four plant species were identified and documented from two human-made wetlands located in Central Ethiopia. Asteraceae and Poaceae were the most dominant families, and 90% of the plant species were herbaceous. The species most dominant species growing in the two wetlands also include E. marginatum, C. fischerianus, L. stolonifera, P. thunbergii, and G. dissectum, indicating the similarity of the two wetlands in their plant species composition. However, despite rich the two wetlands in their plant biodiversity, their values of the Shannon diversity indices showed significant differences between Borale and Washa sites. That is, Borale is richer than Washa site due to the higher heterogeneity of Borale than Washa sites as a result of extensive anthropogenic activities. Additionally, the two wetlands largely supported the native, but upland plant species indicators considered as native invaders due to unplanned human activities, resulting in hydrological and habitat modifications of the two wetlands. These modifications, in turn, led to the similarity of the most dominant species growing in the two sites despite supporting some unique species at each site. Moreover, the ecological assessment of the two wetlands showed that both of them were impaired, but more severity of the Borale site. The implication of all the findings is that if not appropriate measures are taken soon, both wetlands, especially Borale site, would reach unrestored conditions. Therefore, the present study is very vital in providing an inclusive biodiversity and ecosystem condition of the two wetlands to the local stakeholders and decision-makers as well as to other scholars and readers in understanding the fast mechanisms of evaluating the overall status of aquatic ecosystems. Consequently, to ensure a long-term conservation of biodiversity and sustainable use of wetlands, it is urgent and essential to develop and implement professional and community participatory-led restoration strategic plans that take both sites and their catchments into consideration.

Conflicts of Interest

The authors declare no conflicts of interest.

Author Contributions

Admasu Moges proposed and designed the research project and wrote the manuscript. However, material preparation, data collection, species identification, and analysis were performed by both Admasu Moges and Abyot Dibaba. Both authors commented read and approved the final manuscript.

Funding

This work was supported by Debre Berhan University (DBU) (Grant No. 386-03-01). The author, Admasu Moges, has received the research support from DBU. The authors declare that no funds or other support were received during the preparation and for publication of this manuscript.

Acknowledgment

We are grateful to Debre Berhan University for their financial support of this research project. We would also like to express our appreciation to all participants involved in data collection, as well as the experts from the Urban Agricultural Office and the 01 Kebele administrative bodies of Debre Birhan Town for their assistance in facilitating data collection and providing access to relevant documents.

    Supporting Information

    Additional supporting information can be found online in the Supporting Information section.

    Appendix A: Rating Form of Wetlands for the Human Disturbance Gradient Scores (HDGS)

    Table A1. Rating form of wetlands for the human disturbance gradient scores (HDGSs).
    Factor 1. Buffer landscape disturbance (within 50 m from wetland edge)
    Extent and intensity Points
    Best—no evidence of disturbance (called reference site) 0
    Moderate—some human use influence 6
    Fair—significant human influence, buffer area nearly filled with human use 12
    Poor—nearly all or all of the buffer human use (intensive land use) 18
    Factor 2. Landscape disturbance (within 500-m landscape wetland edge)
    Extent and intensity Point
    Best—landscape natural (no evidence of disturbance) 0
    Mod.—predominately undisturbed, some human use influence 6
    Fair—landscape area nearly filled with human use 12
    Poor—nearly all or all of the landscape in human use 18
    Factor 3: Habitat alteration and activities (within and beyond the buffer)
    Severity and extent of alteration Point
    Best—no evidence of disturbance (called reference site) 0
    Mod.—Low-intensity alteration or past alteration that is not currently affecting wetland 6
    Fair—highly altered, but some recovery if previously altered 12
    Poor—almost no natural habitat present, highly altered habitat 18
    Factor 4. Hydrologic alteration (within the wetland)
    Severity and degree of alteration Point
    Best—no evidence of disturbance (called reference site) 0
    Moderate—low-intensity alteration or past alteration that is not currently affecting wetland 7
    Fair—less intense than “poor,” but current or active alteration 14
    Poor—currently active and major disturbance to natural hydrology 21
    Factor 5. Chemical pollution (TN, TP, and Cl from water sample)
    Severity and degree of pollution Point
    Best—no evidence of chemical input (called reference site) 0
    Moderate—selected chemical data in low range, little, or no evidence of chemical input 7
    Fair—selected chemical data in midrange, high potential for chemical input 14
    Poor—chemical input is recognized as high, with a high potential for biological harm 21
    Factor 6. Additional concerns: Maximum of 4 additional points added to the cumulative disturbance total (0–4 points).
    • Note: Source: Genes and Helgen (2002).

    Appendix B: A List of Plant Species Identified from Borale (B) and Washa (W) Wetlands (Collected From September 2020 to March 2021)

    Table A2. A list of plant species identified from Borale (B) and Washa (W) wetlands (collected from September 2020 to March 2021).
    Scientific name Local name (narratives) Family name Habit Site Voucher number
    Agrocharis melanantha Hochst. Karot mesay Apiaceae Herb B, W AA07
    Alchemilla abyssinica Yemidir Kosso Rosaceae Herb B, W AA61
    Andropogon abyssinica Gaja Poaceae Herb B, W AA11
    Anthemis tigreansis White flower Asteraceae Herb W AA54
    Argemone mexicana L. Yahiya suf/Kosheshila Papaveraceae B, W AA67
    Artemisia abyssinica Sch. Bip. exA. Rich. Chiqugn Asteraceae Herb B, W AA51
    Bidens macroptera (Sclt. Bip. ex Chiav.) Mesfin Adey abeba Asteraceae Herb B, W AA01
    Bidens rueppellii (Sch. Bip. ex Walp.) Sherf Adey abeba mesay Asteraceae Herb B, W AA72
    Carduus nyassanus (5. Moore) R.E. Fr. Kosheshila tinshua Asteraceae Herb B, W AA40
    Cheilanthes coriacea Fern Sinopteridaceae Herb B, W AA09
    Commelina benghalensis Wuha anqur (yellow flower) Commelinaceae Herb B, W AA58
    Commelina diffusa Burm.f. Wuha anqur (with yellow flower) Commelinaceae W AA71
    Conyza bonariensis (L.) Cronq. (Small ball yellow flower) Asteraceae Herb B, W AA49
    Cyanotis barbata D.Don (Wuha ankur mesay) Commelinaceae Herb B AA26
    Cynodon dactylon Serido Poaceae Herb B, W AA03
    Cyperus alatus Engecha tinshua Cyperaceae Herb B, W AA27
    Cyperus brevifolius (Rottb.) Hasskn Mush-3 Cyperaceae Herb W AA66
    Cyperus elegantulus Dengaro Cyperaceae Herb B AA19
    Cyperus esculentus L. Engecha-3 Cyperaceae Herb B, W AA65
    Cyperus fischeranus Engecha Cyperaceae Herb B, W AA25
    Cyperus pauper Rochat. exA. Rich. Qetema Cyperaceae Herb W AA64
    Eleocharis marginatum Mush Cyperaceae Herb B, W AA20
    Eleusine floccifolia (Forssk.) Spreng. Akrima Poaceae Herb B, W AA23
    Emilia leptocephala (Mattf.) C. Jeffrey Gomen mesay Asteraceae Herb W AA74
    Epilobium hirsutum L. With red flower Onagraceae Herb B AA29
    Eragrostis braunii Schweinf. Sar (with black fluorescence) Poaceae Herb B, W AA63
    Eragrostis cilianensis Sar Poaceae Herb B, W AA16
    Eriochloa fatmensis Sar Poaceae Herb B, W AA53
    Ferula communis L. Dog Apiaceae Herb B AA39
    Galium acrophyum Ashkt mesay Rubiaceae Herb W AA60
    Geranium dissectum L Yemid koso Geraniaceae Herb B, W AA42
    Gladiolus abyssinicus (Brongn. ex Lemaire) Goldblatt & de Vos (Red gullet flower) Iridaceae Herb B, W AA48
    Gnaphalium americanum Mill. Nechilo mesay Asteraceae Herb B, W AA17
    Guizotia scabra (Yis.) Chiov. Mechi Asteraceae Herb B AA44
    Helichrysum stenopterum DC. Helic (yellow flower) Asteraceae Herb B AA22
    Inula confertiflora A. Rich. Woynagifit (woody) Asteraceae Shrub B AA45
    Juncus effuses L. Qetema Juncaceae Herb B AA18
    Kniphofia foliosa Hochst. Yejib shinkurt Asphodelaceae Herb B AA52
    Kniphofia thomsonii Hochst. Seliti mesay (Pink flower) Asphodelaceae Herb B, W AA57
    Laggera tomentosa (Sch. Bip. ex A. Rich.) Oliv. & Hiern Keskeso Asteraceae Shrub B AA10
    Ludwigia abyssinica Dodot-1 Onagraceae Herb B AA33
    Ludwigia stolonifera (Guill. & Perr.) Raven Onagraceae Herb B, W AA34
    Medicago lupulina L. Wajima (trifoliate, yellow flower) Fabaceae Herb B W AA56
    Medicago polymorpha L. Wajima (yellow flower, 3 leaflet) Fabaceae Herb B, W AA15
    Melinis repens Willd Zizka Qechin serido Poaceae Herb B, W AA70
    Ocimum forskolei Benth. Tolelas Lamiaceae B, W AA12
    Ocimum sp. Lomishet Lamiaceae Herb B, W AA06
    Orobanche minor Smit Sata yejib-ras Orobanchaceae Herb B AA30
    Pennisetum setaceum Sar (Titi mesay) Poaceae Herb B, W AA37
    Pennisetum sphacelatum Sindedo/sebez Poaceae Herb B, W AA02
    Pennisetum thunbergii Kunth Ye-wusha sar Poaceae Herb B, W AA24
    Persicaria decipiens (R.Br.) K.L.Wilson Polygonaceae Herb W AA62
    Persicaria amphibia (L.) S.F. Gray Polygonaceae Herb B, W AA28
    Peucedanum mattirolii Insilal mesay Apiaceae Herb B AA13
    Plantago lanceolata L Worteb Plantaginaceae Herb B, W AA04
    Plectranthus punctatus (Lf) L ′Her. Dembo Lamiaceae Herb B AA38
    Rumex abyssinicus Meqimeqo Polygonaceae Herb B AA36
    Rumex nepalensis Spreng Tult Polygonaceae Herb B, W AA73
    Salix subserrata Willd. Wonz admiq Salicaceae Shrub B AA08
    Salvia nilotica Jacq. Hulegeb Lamiaceae Herb B, W AA35
    Senecio myriocephalus Sch. Bip. ex A. Rich. Asteraceae Shrub W AA69
    Sida schimperiana Hochst. ex A. Rich Chifrig Malvaceae Shrub B AA43
    Snowdenia petitiana (A. Rich) C. E. Hubb Muja (qey) sar Poaceae Herb B, W AA41
    Snowdenia polystachya Muja (with 3–5 spikelets) Poaceae Herb B AA47
    Sphaeranthus suaveolens var. abyssinica (Forssk.) DC Dodot-2 (violet spikes) Asteraceae Herb B AA32
    Taraxacum officinale Webber ex Wiggers Gomen mesay (lobed leaf, yellow flower) Asteraceae Herb W AA59
    Thymus schimperi Ronniger Tosign Phytolaccaceae Herb W AA68
    Trifolium decorum Chiov. Maget (violet flower) Fabaceae Herb B, W AA14
    Trifolium quartinianum L. Maget (tinishu) Fabaceae Herb B, W AA50
    Typha latifolia L. Fila Typhaceae Herb B AA31
    Verbascum sinaiticum Benth. Yahiya jero Scrophulariaceae Herb B, W AA21
    Verbena officinalis L. Seliti mesay Verbenaceae Herb B AA46
    Veronica persica Poiret Blue flower Scrophulariaceae Herb B, W AA55
    Zehneria minutiflora (L.f.) Sond. Yait hareg Cucurbitaceae Climber B AA05
      
    Some of the plant species found in the catchment of the study area, but not in sampling sites
    Buddleja polystachyum Anfar Asteraceae Tree B
    Cupressus lusitanica Ye-ferenji Tsid Cupressaceae Tree W
    Echinops kebericho Mesfin Kebericho Asteraceae Shrub B
    Eucalyptus globules Nech bahir zaf Myrtaceae Tree B, W
    Hagenia abyssinica Kosso Rosaceae Tree W
    Juniperus procera Ye-abeshs Tsid Cupressaceae Tree W
    Sesbania sesban Turmatur Fabaceae Shrub W

    Appendix C: Plant Species Growing in Both Wetlands With Their Nativity, Life Cycle and Indicators

    Table A3. Plant species growing in both wetlands with their nativity, life cycle, and indicators.
    Botanical names Native Life cycle Wetland indicators
    Agrocharis melanantha Yes P Up
    Alchemilla abyssinica Yes P F
    Andropogon abyssinica Yes A FU
    Argemone mexicana No A F
    Artemisia abyssinica Yes A F
    Bidens macroptera Yes A F
    Bidens rueppellii Yes A F
    Carduus nyassanus Yes P F
    Cheilanthes coriaceae Yes P FU
    Commelina benghalensis Yes P F
    Conyza bonariensis Yes A Up
    Cyndon dactylon Yes P Up
    Cyperus esculentus Yes A FW
    Cyperus alatus Yes P FW
    Cyperus fischeranus Yes P FW
    Eleocharis marginatum Yes P OW
    Eleusine floccifolia Yes P Up
    Eragrostis braunii Yes P Up
    Eragrostis cilianensis Yes A F
    Eriochloa fatmensis Yes A FU
    Geranium dissectum No A F
    Gladiolus abyssinicus Yes A F
    Gnaphalium americanum Yes A Up
    Kniphofia thomsonii Yes P FW
    Ludwigia stolonifera Yes P OW
    Medicago polymorpha Yes A Up
    Melinis repens Yes A FU
    Ocimum forskolei Yes A FU
    Ocimum sp. Yes P FU
    Pennisetum setaceum Yes A FU
    Pennisetum sphacelatum Yes A FU
    Pennisetum thunbergii Yes A FU
    Persicaria amphibia Yes P FW
    Plantago lanceolata Yes A FU
    Rumex nepalensis Yes P Up
    Salvia nilotica Yes P FU
    Snowdenia petitiana Yes A FW
    Trifolium decorum Yes A FW
    Trifolium quartinianum Yes A FW
    Verbascum sinaiticum Yes B Up
    Veronica persica No A FU

    Appendix D: Photos Illustrating Birds in and Around (a) and (b) and Fish (d) and (e) With Fish Net (i), Eucalyptus and Cupressus trees, and New Settlement in the Catchment of Washa (a) and (c), and the Downstream Vegetation Like Cyperus and Typha spp. (g) and (h) of Borale Reservoir (f)

    Details are in the caption following the image
    Photos illustrating birds in and around (a, b) and fish (d, e) with fish nets (i), Eucalyptus and Cupressus trees, and new settlement in the catchment of Washa (a, c), and the downstream vegetation such as Cyperus and Typha spp. (g, h) of Borale reservoir (f).
    Details are in the caption following the image
    Photos illustrating birds in and around (a, b) and fish (d, e) with fish nets (i), Eucalyptus and Cupressus trees, and new settlement in the catchment of Washa (a, c), and the downstream vegetation such as Cyperus and Typha spp. (g, h) of Borale reservoir (f).
    Details are in the caption following the image
    Photos illustrating birds in and around (a, b) and fish (d, e) with fish nets (i), Eucalyptus and Cupressus trees, and new settlement in the catchment of Washa (a, c), and the downstream vegetation such as Cyperus and Typha spp. (g, h) of Borale reservoir (f).
    Details are in the caption following the image
    Photos illustrating birds in and around (a, b) and fish (d, e) with fish nets (i), Eucalyptus and Cupressus trees, and new settlement in the catchment of Washa (a, c), and the downstream vegetation such as Cyperus and Typha spp. (g, h) of Borale reservoir (f).
    Details are in the caption following the image
    Photos illustrating birds in and around (a, b) and fish (d, e) with fish nets (i), Eucalyptus and Cupressus trees, and new settlement in the catchment of Washa (a, c), and the downstream vegetation such as Cyperus and Typha spp. (g, h) of Borale reservoir (f).
    Details are in the caption following the image
    Photos illustrating birds in and around (a, b) and fish (d, e) with fish nets (i), Eucalyptus and Cupressus trees, and new settlement in the catchment of Washa (a, c), and the downstream vegetation such as Cyperus and Typha spp. (g, h) of Borale reservoir (f).
    Details are in the caption following the image
    Photos illustrating birds in and around (a, b) and fish (d, e) with fish nets (i), Eucalyptus and Cupressus trees, and new settlement in the catchment of Washa (a, c), and the downstream vegetation such as Cyperus and Typha spp. (g, h) of Borale reservoir (f).
    Details are in the caption following the image
    Photos illustrating birds in and around (a, b) and fish (d, e) with fish nets (i), Eucalyptus and Cupressus trees, and new settlement in the catchment of Washa (a, c), and the downstream vegetation such as Cyperus and Typha spp. (g, h) of Borale reservoir (f).
    Details are in the caption following the image
    Photos illustrating birds in and around (a, b) and fish (d, e) with fish nets (i), Eucalyptus and Cupressus trees, and new settlement in the catchment of Washa (a, c), and the downstream vegetation such as Cyperus and Typha spp. (g, h) of Borale reservoir (f).

    Data Availability Statement

    The datasets generated during the current study are available in the appendix section as well as in a file of an Excel format, uploaded to this journal with this manuscript.

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