Volume 2025, Issue 1 6630028
Research Article
Open Access

Evaluating Diversity, Structure, Regeneration Status, and Preferences of Woody Species Among Different Land Uses of Koore’s Agricultural Landscape, Southern Ethiopia

Aden Abdurahman

Corresponding Author

Aden Abdurahman

Department of Natural Resources Management , College of Agriculture and Veterinary Medicine , Jimma University , Jimma , Ethiopia , ju.edu.et

Department of Natural Resources Management , College of Agriculture and Natural Resources , Dilla University , Dilla , Ethiopia , du.edu.et

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Eshetu Yirsaw

Eshetu Yirsaw

Department of Natural Resources Management , College of Agriculture and Natural Resources , Dilla University , Dilla , Ethiopia , du.edu.et

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Tibebu Alemu

Tibebu Alemu

Department of Natural Resources Management , College of Agriculture and Veterinary Medicine , Jimma University , Jimma , Ethiopia , ju.edu.et

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Kitessa Hundera

Kitessa Hundera

Department of Biology , College of Natural Science , Jimma University , Jimma , Ethiopia , ju.edu.et

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First published: 30 May 2025
Academic Editor: Anna Źróbek

Abstract

Conserving biodiversity is a challenge in terrestrial environments. Anthropogenic landscape with various land uses has a role in biodiversity conservation. Thus, this study aimed to analyze the diversity, stand structure, regeneration status, and preferences of woody species in Koore’s agricultural landscape, in Southern Ethiopia. Data were collected from 105 plots that randomly assigned to a stratified different land use types. The study found a total of 73 woody species across 33 families. The Fabaceae family was the dominant with 20.5% of the species, followed by Rosaceae (6.8%) and Myrtaceae (5.5%). Agroforestry demonstrated the highest value of Shannon diversity (H′) (4.04), evenness indices (E) (0.58), and good regeneration. About 19.2% of woody species recorded from farmland, grazing, and woodland showed poor regeneration. Acacia nigra, Acacia abyssinica, and Podocarpus falcatus that recorded without seedling and sapling are under risk of extinction. Agroforestry land use has been identified as a better land use type in promoting diversity and regeneration of woody species. Therefore, we recommended the promotion of agroforestry for woody species diversity conservation. Due emphasis should be given to save those woody species under the risk of extinction and low IVI values. The findings from this study are vital for effective ecological management.

1. Introduction

Environmental sustainability, which is the basis for human well-being, requires cautious use of natural resources [1, 2]. Ethiopia possesses great geographical diversity [3, 4] and hosts rich biodiversity [5]. The size of the Ethiopian flora is estimated to be between 6500 and 7000 species, out of which 12% are endemic to Ethiopia and a thousand are estimated to be woody species [36]. However, its diverse natural vegetation has been and still is depleted due to the livelihood dependence of inhabitants on land resources for fuelwood, charcoal, construction and farm tool material, timber, animal fodder/grazing, spices, and bee forage [2, 5, 7]. This led the country to exhibited a high annual deforestation rate (0.97%) [1, 2] that threatens its biodiversity [810] and makes it a habitat for 120 threatened endemic plant species [11].

Since it is assumed that protected areas are best for managing biodiversity, approximately 58 National Forest Priority Areas (NFPAs) have been established in Ethiopia [3, 12, 13]. Numerous studies have been conducted to assess plant diversity in protected areas [3, 12]. Other studies have also investigated plant composition and structure of single land use from a complicated landscape’s ecological units [4, 5, 8, 9]. Although it has been noted that various land use types (agroforestry, woodlots, and forests) have the potential to conserve plant species [57, 10], to date, efforts in the quantitative analysis of plants across various land uses in anthropogenic-dominated landscapes have been very limited [10]. Anthropogenic-dominated landscapes that are characterized by inappropriate cultivation, overgrazing, and indiscriminate tree cutting for fuel and house unit construction materials typically affected negatively the success of biodiversity conservation interventions [5, 14].

Koore’s agricultural landscape (KAL) which is a mosaic double-faced hillside contributes significantly to the health of Lake Chamo, and Nech Sar National Park biodiversity, a hotspot through the Sermele River [2]. Today, KAL has deteriorated due to population growth that led to inappropriate natural resource exploitation and massive deforestation [15]. This resulted in alarming rate of land use/land cover changes mainly from natural vegetation classes to agriculture, settlements, and bare land [1]. Consequently, KAL has lost its mosaic feature, thus anthropogenic disturbed and fragile landscape. To overcome this problem, an integrated watershed management approach has been introduced. Regardless of the efforts made, natural vegetation cover continues to decline [2]. Thus, before a course of remedial action, understanding the composition, diversity, stand structure, and regeneration status of woody species across the landscape’s ecological units is critical for successful ecological management interventions [10]. Since KAL lacks scientific information that could be used for successful ecological management, this study holds significant importance as it delves into the critical interplay between biodiversity conservation and land use practices, providing valuable insights into the ecological sustainability of agricultural landscapes in Southern Ethiopia. Accordingly, we proposed the research questions: (1) What does the composition, diversity, and stand structure of woody species among assessed land uses in KAL, seem like? (2) Which woody species and land use type possesses a better regeneration status in the study landscape? (3) What is the preference of smallholders regarding woody species? Thus, this study aimed to assess: (1) the composition, diversity, and stand structure of woody species; (2) regeneration status within woody species and among land use types; and (3) preference of smallholders toward woody species in KAL, Southern Ethiopia.

2. Methods and Materials

2.1. Study Area Description

KAL is a zone that contained two districts, and a city administration. It is found in the South Ethiopia Regional State (Figure 1), between 5°30′0″ and 6°0′0″ N latitude and 37°40′0″ and 38°0′0″ E longitude [16]. It has 35 rural Kebeles (the smallest administrative unit in Ethiopia) and five urban municipalities. Its main town, Kelle, exists 485 km from Addis Ababa, the capital city of Ethiopia. It is bordered by the Burji Zone from the south, Lake Chamo and Nech Sar National Park from the west, and the Oromia National Regional State from the east and north [2].

Details are in the caption following the image
Map of study landscape.

Topographically, it is characterized by steeply sloping mountains (25%), hills (20%), undulating (25%), and gentle to-plane land features (30%) [15]. Roughly, the soil of KAL texturally described as thin stony soils on hill, predominantly sand or sandy loams and clay along the gradient [15]. In the flood plains of lowland, it is grey to red and sands or dark clays [2]. It has tropical humid, tropical subhumid and semiarid agroecology with their respective shares of 32%, 30%, and 38% of the total area of this specific locality [2, 15]. KAL has a bimodal rainfall distribution, with long rains (belg) occurring between March and June, and short rains (meher) occurring between August and October [15]. The total precipitation ranges from 801 to 1000 mm, and the temperature ranges from 12°C to 25°C [2].

Currently, the study landscape is inhabited with the total population of 253,728. From this, about 127,215 are males, whereas about 126,513 are females. Its population density is 180 people per km2 (ADFEDO, 2024 unpublished). Of the total population, 90% live in rural areas based on rain-fed mixed (crop-livestock) agriculture that is supplemented by traditional small-scale irrigation [15]. The rest 10% are urban dweller. Though KAL was mosaic that comprised wider natural vegetation classes, currently it has been degraded due to the encroachment of cultivated land, overgrazing, indiscriminate tree cutting for charcoaling/fuel, and house building [2].

2.2. Sampling Design and Sample Size Determination

KAL was selected purposely because it comprises different land use types that have varied vegetation cover status. Preliminary survey was undertaken to identify the existing land use types across the landscape. Accordingly, five land use types (farmland, grazing land, woodland, forest, and agroforestry) were identified (Table 1, Figure 2). Next, four Kebeles (Jallo, Kelle, Kobo, and Mareta) that are connected from the downstream to the upland were selected since they comprise all the identified five land uses. Then, 105 sample plots were randomly assigned to a stratified different land use types (Table 1, Figure 3). This is due to fragmentation in vegetation cover and intermittent land use types across the studied landscape (Figure 3).

Table 1. Contextual description of the land use types.
Land uses Description No. of the sampled plots
Farmland Land used for annual cropping and under crop, fallow of a few trees, and prepared for planting. 25
Grazing land It is grassland with less than 10% tree and/or shrubs and rooted plants used for livestock grazing. 18
Woodland Areas dominated by woody plants with a height range of 5–20 m. Tree canopy cover between 40% and 70%. 18
Forest land A land dominated by multistrata community trees of greater than 80% interlocking canopy cover. 20
Agroforestry land Multistrata agroforest area in which annual/perennial crops and/or animals are managed together. 24
  
Total 105
Details are in the caption following the image
Assessed land use types and experts participated in data collection and group discussion. (a) Farmland. (b) Grazing land. (c) Woodland. (d) Forest land. (e) Agroforestry land. (f) Researchers and enumerators. (g) Researchers, enumerators, and zone experts.
Details are in the caption following the image
Assessed land use types and experts participated in data collection and group discussion. (a) Farmland. (b) Grazing land. (c) Woodland. (d) Forest land. (e) Agroforestry land. (f) Researchers and enumerators. (g) Researchers, enumerators, and zone experts.
Details are in the caption following the image
Assessed land use types and experts participated in data collection and group discussion. (a) Farmland. (b) Grazing land. (c) Woodland. (d) Forest land. (e) Agroforestry land. (f) Researchers and enumerators. (g) Researchers, enumerators, and zone experts.
Details are in the caption following the image
Assessed land use types and experts participated in data collection and group discussion. (a) Farmland. (b) Grazing land. (c) Woodland. (d) Forest land. (e) Agroforestry land. (f) Researchers and enumerators. (g) Researchers, enumerators, and zone experts.
Details are in the caption following the image
Assessed land use types and experts participated in data collection and group discussion. (a) Farmland. (b) Grazing land. (c) Woodland. (d) Forest land. (e) Agroforestry land. (f) Researchers and enumerators. (g) Researchers, enumerators, and zone experts.
Details are in the caption following the image
Assessed land use types and experts participated in data collection and group discussion. (a) Farmland. (b) Grazing land. (c) Woodland. (d) Forest land. (e) Agroforestry land. (f) Researchers and enumerators. (g) Researchers, enumerators, and zone experts.
Details are in the caption following the image
Assessed land use types and experts participated in data collection and group discussion. (a) Farmland. (b) Grazing land. (c) Woodland. (d) Forest land. (e) Agroforestry land. (f) Researchers and enumerators. (g) Researchers, enumerators, and zone experts.
Details are in the caption following the image
Sample points in the study landscape.
A questionnaire (Appendix B) was developed and used to collect data from 150 respondents of the sampled Kebeles. This sample size was determined according to the formula presented in Cochran [17]:
()
where n = sample size, Z = standard error associated with the chosen level of confidence (Z = 1.96), p = variability, q = 1 − p, and e = acceptable sample error.

Besides, 10 key informants’ interview and three focus group discussions which contain about eight to 10 members were held in the sampled Kebeles. From these, one focus group discussion was held with Zone and District experts. Key informants and focus group discussants were smallholders and experts who have experience in identifying the local names of woody species, have knowledge about their uses, and smallholders’ preferences for plantation in the KAL. Snowball selection method was used to select key informants. Information obtained from these sources used to support quantitative results from questionnaire-based survey.

2.3. Data Collection Techniques and Materials

All the field data for this study were collected in December as the season was free of precipitation and the leaf of woody species was green. This helped to get the right overview of the vegetation structure for species identification. To achieve accurate and reliable data collection, it is essential to vary sample sizes in vegetation inventories to land use, as vegetation characteristics differ significantly across land uses [18]. Thus, 10 × 20 m (200 m2) for forest [19], 25 × 25 m (625 m2) for agroforestry and grazing land [20], 40 × 40 m (1600 m2) for farmland or field cropping land, and 20 × 20 m (400 m2) for woodland following Endris et al. [3]. Additionally, a 5 × 5 m (25 m2) plot was used for saplings and a 2 × 2 m (4 m2) plot for seedlings [14]. The dimensions of the plots and the sampling size were determined following recommended practices for accuracy, practical considerations of time, available resources, and evidences in the ecological literature [20].

Species richness and abundance parameters were measured by recording the number of species within a community and identifying number of individuals of each species present in the community. The diameter at breast height (DBH) at 1.3-m height above ground was also measured and recorded. As per the recommendation of Singh et al. [14], when trees branched at breast height or below the diameter was measured alone for the branches and averaged, and if the tree trunk was buttressed, the DBH was taken just above the buttresses. Data collection process was guided by species rarefaction curve approach. It shows the expected number of species in a set number of samples, allowing for comparisons between communities with varying sample sizes. The published volumes of the Flora of Ethiopia and the Flora of Ethiopia and Eritrea were used to identify recorded woody species [2126]. Experienced key informants and experts were used to identify the local names of recorded woody species. For species that were difficult to identify in the field, herbarium specimens were taken to the National Herbarium of Addis Ababa University, Ethiopia.

Individual tree categorization was made at height < 1.0 m and DBH < 3 cm for seedlings [9]. The height was 1.0–3.0 m and DBH 3–10 cm for saplings, and height > 3.0 m and DBH > 10.0 cm for trees [5, 27]. The tree DBH was categorized into five classes such as 1–10, 10.1–20, 20.1–30, 30.1–40, 40.1–50, 50.1–60 cm, and greater than 60 cm [5, 9]. The DBH of trees was measured using a caliper. Diameter tape was used for tree diameters beyond caliper size which measures circumference, then later would convert to diameter. Height was measured using a 6-m graduated pole. All lists of woody species and, the number of matured trees, saplings, and seedlings were recorded to determine the regeneration status. A handheld GPS Garmin Etrex 10 worldwide was used to mark the location of each sampling plot. Information regarding to woody species preferences, seedling demand for plantation, and the reasons for species selection were collected via semistructured questionnaires from 150 smallholders by trained enumerators (Appendix B). Checklist was developed to guide key informants’ interview and focus group discussions (Appendix C).

2.4. Data Analysis

Field data were stored in a Microsoft Excel database and analyzed quantitatively using Microsoft Excel statistics and Statistical Package for Social Sciences (SPSS) version 20. Structure parameters such as height, DBH, frequency, density, basal area, relative frequency (RF), relative density (RD), and relative dominance (RDo) were computed. DBH is the ratio of circumference to π. Frequency, which shows the presence or absence of a given species within each sample plot, was computed. The density of the woody species was calculated by converting the total number of individuals of each woody species existing in the plots to hectares. The basal area was calculated as follows:
()
where π = 3.14.
The importance value index (IVI) of each species was calculated by summing its RD, RDo, and RF [5, 9, 10]:
()
()
()
()
Species richness and diversity were calculated using Shannon–Wiener diversity (H′) and Evenness index (E) [28]. H′ is widely used to measure diversity for comparing various habitats [29]. E which considers the measure of species dominance and evenness of spread was used due to it is less sensitivity to sample size [ibid]. H′ equated as follows [30]:
()
where H′ = Shannon–Wiener diversity index, Pi is the proportion of individuals or the abundance of ith species, ln Pi = logePi, and S = the number of species.
The evenness index (E) is calculated using the equation presented in [31] as follows:
()
where Hmax = lnS = the natural logarithm of the total number of species.
Sorensen’s similarity coefficient (SSC) which gives greater weight to matches in species composition between the samples than mismatches [29] was used to analyze the level of similarities in woody species composition using the recommended formula [32]:
()
where a is the number of species common to both land uses, b is the number of species present in the first land use and absent in the second, and c is the number of species present in the second and absent in the first land use.

The regeneration status of woody species was analyzed by comparing growth stages of woody individuals. The regeneration status is good if sapling > seedling > matures, and fair if matures > sapling > seedling; if only mature trees are present, it is not regenerating or under risk of extinction, and otherwise poor regeneration [9]. To determine preferences of woody species by smallholders, data collected via questionnaire were analyzed using SPSS 20 version for windows. Data obtained from focus groups and key informants were used to support quantitative findings.

3. Results

3.1. Woody Species Composition and Diversity in Different Land Use Types of KAL

A total of 73 different woody species belonging to 33 families were identified across all assessed five land use types (Table 2). The Fabaceae family had the highest number of species at 20.5%, followed by Rosaceae (6.8%) and Myrtaceae (5.5%). The lowest proportion of species (0.1%) was recorded from Asclepiadaceae and Bignoniaceae (Table 2). About 53% of woody families consisted of a single species (Table 2). Eleven woody families (33.33%) were common to all land uses, while 10 (30.30%) were found in a single land use (Appendix Table A1). In the KAL, 21.92% of woody species were common to all land use types and 32.88% and 10.96% occurring only in agroforestry and forest, respectively (Appendix Table A1).

Table 2. Woody species composition.
Name of woody family No. of species % No. of stems % Name of woody family No. of species % No. of stems %
Fabaceae 15 20.5 847 30.7 Apocynaceae 1 1.4 9 0.3
Rosaceae 5 6.8 118 4.3 Araliaceae 1 1.4 14 0.5
Myrtaceae 4 5.5 138 5.0 Arecaceae 1 1.4 50 1.8
Rutaceae 4 5.5 52 1.9 Balanitaceae 1 1.4 35 1.3
Moraceae 3 4.1 56 2.0 Bignoniaceae 1 1.4 3 0.1
Euphorbiaceae 3 4.1 112 4.1 Casuarinaceae 1 1.4 4 0.1
Anacardiaceae 3 4.1 149 5.4 Celastraceae 1 1.4 24 0.9
Rubiaceae 3 4.1 270 9.8 Ericaceae 1 1.4 50 1.8
Asclepiadaceae 2 2.7 3 0.1 Lauraceae 1 1.4 56 2.0
Asteraceae 2 2.7 97 3.5 Meliaceae 1 1.4 6 0.2
Boraginaceae 2 2.7 164 5.9 Moringaceae 1 1.4 28 1.0
Combretaceae 2 2.7 103 3.7 Olacaceae 1 1.4 6 0.2
Cupressaceae 2 2.7 120 4.3 Podocarpaceae 1 1.4 26 0.9
Oleaceae 2 2.7 11 0.4 Proteaceae 1 1.4 80 2.9
Rhamnaceae 2 2.7 67 2.4 Sapindaceae 1 1.4 35 1.3
Sapotaceae 2 2.7 12 0.4 Tiliaceae 1 1.4 7 0.3
Annonaceae 1 1.4 7 0.3
  
Total numbers of woody plant families, species, and stems at the landscape level 33 73 100 2759 100

In terms of the origin of woody species, 52 (71.23%) were native, and 21 (28.77%) were exotic (Table 3). The forest had the highest number of native woody species, while all reported exotic woody species were from agroforestry (Table 3). Two native woody species (Millettia ferruginea and Erythrina brucei) were found to be endemic to Ethiopia (Appendix Table A1). In the study landscape, agroforestry had the highest fraction of woody species (67.12%) than forest (Table 3).

Table 3. Origin of woody species.
Land use types No. of species %
Native and nonendemic Native and endemic Exotic Total
Farmland 19 1 1 21 28.77
Grazing land 29 1 0 30 40.10
Wood land 35 2 0 37 50.68
Forest land 42 2 0 44 60.27
Agroforestry 26 2 21 49 67.12
At landscape level 50 2 21 73 100.0

Compared to other land uses, the highest values of H′ (4.04) and E (0.58) were recorded in agroforestry (Table 4). It implied a woody community with a higher number of different species where the distributions of some species are more abundant than others. Forest had the second highest H′ (3.54) but the lowest value of E (0.52) (Table 3). Agroforestry showed the highest species richness (21.47 ± 38.91), while farmland exhibited the lowest species richness (7.77 ± 5.65) (Table 4).

Table 4. Woody species diversity.
S. no Land use types No. of species (N) Species richness (mean ± SD) Diversity indices
H′ E
1 Farmland 21 7.77 ± 5.65 2.69 0.53
2 Grazing land 30 7.81 ± 7.72 2.99 0.55
3 Woodland 37 11.16 ± 9.95 3.29 0.55
4 Forest land 44 20.39 ± 14.56 3.54 0.52
5 Agroforestry 49 38.91 ± 21.47 4.04 0.58

According to Table 5, the highest similarities (84%) of woody species were found between forest and woodland, and grazing and woodland. The lowest similarity (48%) was observed between agroforestry and grazing land (Table 5).

Table 5. Similarity of woody species.
Land use types Sorensen’s similarity coefficient
Farmland Grazing land Wood land Agroforestry Forest land
Farmland 1.00 >> >> >> >>
Grazing land 0.78 1.00 >> >> >>
Woodland 0.61 0.84 1.00 >> >>
Agroforestry 0.49 0.48 0.53 1.00 >>
Forest land 0.62 0.76 0.84 0.52 1.00

3.2. Importance of Woody Species

Among the top 10 woody species with the highest IVI: Cordia africana, Acacia tortilis, Erythrina brucei, and Moringa oleifera are listed in Table 6 and play an important ecological role in the farmland of KAL. Conversely, Podocarpus falcatus, Combretum molle, Hagenia abyssinica, and Ficus sur showed lower IVI in farmland (Appendix Table A2). Woody species such as Cordia africana, Acacia tortilis, Croton macrostachyus, and Combretum molle exhibited relatively higher IVI in grazing land. Among them, Acacia tortilis and Cordia africana were the most dominant species (Table 6). Woody species like Gardenia volkensii, Podocarpus falcatus, Rosa abyssinica, and Hagenia abyssinica showed lower IVI in grazing land (Appendix Table A2).

Table 6. The top 10 woody species importance value index (IVI) of farmland and grazing land.
No Species name IVI of species farmland
Frequency RF RDo RD IVI Rank
1 Cordia africana (In) 31 18.90 15.39 18.90 53.19 1
2 Acacia tortilis (In) 20 12.20 18.94 12.20 43.34 2
3 Erythrina brucei (In, EE) 23 14.02 12.24 14.02 40.28 3
4 Moringa oleifera (Ex) 9 5.49 7.04 5.49 18.02 4
5 Vernonia amygdalina (In) 11 6.71 3.71 6.71 17.13 5
6 Juniperus procera (In) 10 6.10 3.90 6.10 16.10 6
7 Erica arborea (In) 8 4.88 2.47 4.88 12.23 7
8 Acacia polyacantha (In) 5 3.04 5.20 3.05 11.29 8
9 Acacia albida (In) 5 3.04 4.64 3.05 10.73 9
10 Croton macrostachyus (In) 5 3.04 4.19 3.05 10.28 10
IVI of species grazing land
1 Acacia tortilis (In) 23 9.86 15.59 10.30 35.75 1
2 Cordia africana (In) 18 7.72 10.74 7.73 26.19 2
3 Combretum molle (In) 18 7.72 6.37 9.01 23.10 3
4 Croton macrostachyus (In) 15 6.43 6.10 5.58 18.11 4
5 Rhus vulgaris (In) 11 4.71 6.61 6.01 17.33 5
6 Erythrina brucei (In, EE) 13 5.58 3.08 5.58 14.24 6
7 Phoenix reclinata (In) 12 5.14 4.07 3.86 13.07 7
8 Erica arborea (In) 13 5.58 2.63 4.29 12.50 8
9 Vernonia auriculifera (In) 11 4.71 1.92 4.29 10.92 9
10 Vernonia amygdalina (In) 9 3.86 2.48 3.86 10.20 10
  • Note: In = Indigenous, Ex = Exotic.
  • Abbreviations: EE = Endemic to Ethiopia, RD = relative density, RDo = relative dominance, RF = relative frequency.

The woody species with the highest IVI and RDo in both woodland and forest were Acacia tortilis, Acacia polyacantha, Juniperus procera, and Cordia africana (Table 7). On the other hand, species such as Calotropis procera, Carissa spinarum, and Ximenia americana exhibited the lowest IVI and RDo in both forests and woodlands (Appendix A2).

Table 7. The top 10 woody species IVI of woodland, forest, and agroforestry land uses.
No Species name IVI of species woodland
Frequency RF RDo RD RII Rank
1 Acacia polyacantha (In) 29 7.02 17.31 7.51 31.84 1
2 Acacia tortilis (In) 42 10.17 9.37 10.17 29.71 2
3 Juniperus procera (In) 42 10.17 6.32 9.93 26.42 3
4 Erythrina brucei (In, EE) 27 6.54 6.27 7.02 19.83 4
5 Acacia abyssinica (In) 13 3.15 5.67 3.15 11.97 5
6 Rhamnus prinoides (In) 18 4.36 2.83 4.36 11.55 6
7 Cordia africana (In) 14 3.39 4.31 3.39 11.09 7
8 Hagenia abyssinica (In) 16 3.87 3.35 3.87 11.09 8
9 Rhus vulgaris (In) 17 4.12 2.06 4.12 10.3 9
10 Balanites aegyptiaca (In) 13 3.15 2.49 3.14 8.78 10
IVI of species forest land
1 Acacia tortilis (In) 62 6.91 7.87 7.13 21.91 1
2 Olea capensis (In) 42 4.68 6.88 5.46 17.02 2
3 Acacia polyacantha (In) 58 6.47 4.57 5.91 16.95 3
4 Olea europaea (In) 36 4.01 5.51 4.46 13.98 4
5 Syzygium guineense (In) 33 3.68 4.44 4.24 12.36 5
6 Millettia ferruginea (In, EE) 33 3.68 4.47 3.68 11.83 6
7 Juniperus procera (In) 34 3.79 4.04 3.9 11.73 7
8 Rosa abyssinica (In) 27 3.11 5.15 3.01 11.27 8
9 Erica arborea (In) 37 4.12 1.88 4.68 10.68 9
10 Cordia africana (In) 27 3.01 4.28 3.01 10.30 10
IVI of species agroforestry
1 Coffea Arabica (In) 158 15.02 8.04 13.95 37.01 1
2 Grevillea robusta (Ex) 93 8.84 7.01 7.61 23.46 2
3 Cordia africana (In) 57 5.42 9.88 5.32 20.62 3
4 Mangifera indica (Ex) 82 7.8 3.97 7.98 19.75 4
5 Persea americana (Ex) 55 5.23 6.56 5.32 17.11 5
6 Eucalyptus grandis (Ex) 47 4.47 4.6 4.47 13.54 6
7 Millettia ferruginea (In, EE) 34 3.23 4.94 3.23 11.4 7
8 Eucalyptus globulus (Ex) 40 3.8 3.48 3.8 11.08 8
9 Casimiroa edulis (Ex) 27 2.57 5.58 2.57 10.72 9
10 Malus domestica (Ex) 39 3.71 2.58 3.71 10.00 10

In agroforestry, species like Coffea arabica, Grevillea robusta, Persea Americana, Cordia africana, Mangifera indica, and Millettia ferruginea showed the highest IVI (Table 7). Conversely, Polyscias fulva, Podocarpus falcatus, Ehretia cymosa, Olea europaea, and Schinus molle exhibited the lowest IVI and lowest RDo in agroforestry (Appendix Table A2).

3.3. Woody Species Stand Structure

The diameter class distribution of woody species in KAL exhibited an inverse J-shaped pattern. Farmland and agroforestry land uses showed a consistent decrease in the number of woody plants as diameter classes increased (Figure 4). Forest, grazing, and woodlands also showed a decreasing trend, followed by an increase in woody plant frequency in the middle diameter classes, and then a decrease in the larger diameter classes, resulting in an interrupted inverted J-shaped distribution (Figure 4). Across all land use types, the highest numbers of woody plants were found in the lower diameter classes (< 20 cm) (Figure 4). The distribution of the density of trees in different height classes followed a similar pattern to that of diameter classes.

Details are in the caption following the image
Diameter class frequency distribution of woody species of assessed land use types. DBH class: A = 1–10 cm; B = 10.1–20 cm; C = 20.1–30 cm; D = 30.1–40 cm; E = 40.1–50 cm; F = 50.1–60 cm; G = > 60 cm.

A decline in tree density was observed toward the taller height classes for all land uses (Figure 5). However, farmland forest land had fewer than 50% of trees in the lower height class (1–10 m), while agroforestry (63.10%), grazing land (53.70%), and woodland (53.50%) had a higher frequency of trees in the lower height class (Figure 5).

Details are in the caption following the image
Height class frequency distribution of woody species of different land use types. Height class: A = 1–3 m; B = 3.1–10 m; C = 10.1–20 m; D = > 20 m.

3.4. Analysis of Regeneration Status

3.4.1. Regeneration Status of Land Use Types and Woody Species

In the KAL, agroforestry had the highest tree count followed by forests and woodland, while farmland had the lowest (Table 8). Agroforestry also had the highest proportion of seedlings and saplings, while forest land had the most mature trees (Table 8). A total of 1623 seedlings and saplings belonging to 70 woody species were counted in all quadrats (Table 8). Among the assessed land use types when agroforestry possessed good regeneration status (a condition where sapling > seedling > matures), the rest land use types showed fair regeneration status (a condition where matures > sapling > seedling) (Table 8).

Table 8. Growth status of woody individuals and regeneration status of land use types.
Land use types Number of woody plants in their growth status Regeneration status of land use types
Seedling (ha) Sapling (ha) Mature (ha)
Farmland 16 52 96 Fair
Grazing land 33 92 108 Fair
Woodland 62 159 192 Fair
Forest land 104 299 494 Fair
Agroforestry 388 418 246 Good

Entirely to studied landscape, 5.5% of woody species showed good regeneration status, while 8.2% exhibited fair regeneration status. However, a significant number of woody species (58.9%) displayed poor regeneration status (Table 9). Additionally, 19.2% of woody species were without seedlings, and 4.1% lacked saplings (Table 9). About 4.1% woody species (Acacia nigra, Acacia abyssinica, and Podocarpus falcatus) were recorded without seedlings and saplings (Appendix Table A3). In cultivated land, species such as Erica arborea and Croton macrostachyus exhibited good regeneration, while Cordia africana, Vernonia amygdalina, and Olea africana showed fair regeneration. In grazing land, species like Erica arborea, Erythrina brucei, and Vernonia amygdalina had good regeneration, while Croton macrostachyus, Ficus vasta, Acacia tortilis, Rhus vulgaris, and Phoenix reclinata showed fair regeneration. Besides, in woodlands, species such as Millettia ferruginea, Erythrina brucei, and Rhus vulgaris exhibited good regeneration, while Juniperus procera, Acacia tortilis, and Cordia africana showed fair regeneration (Appendix Table A3).

Table 9. Regeneration status of woody species among land use types.
Land use types Number of woody species at different regeneration statuses
Good Fair Poor Under risky
Regeneration Regeneration Regeneration
No % No % No % No %
Farmland (N = 21) 2 9.5 3 14.3 13 61.9 3 14.3
Grazing (N = 30) 3 10.0 6 20.0 16 53.3 5 16.7
Woodland (N = 37) 3 8.1 7 18.9 23 62.2 4 10.8
Forest land (N = 44) 3 6.8 13 29.5 25 56.8 3 6.8
Agroforestry (N = 49) 8 16.3 14 28.6 23 46.9 4 8.2

In the forest, species such as Millettia ferruginea, Erythrina brucei, Acacia tortilis, Acacia brevispica, Croton macrostachyus, and Juniperus procera showed fair regeneration. Polyscias fulva, Vernonia auriculifera, and Dodonaea viscose were found to have good regeneration (Appendix Table A3). In agroforestry, Persea americana, Eucalyptus grandis, Millettia ferruginea, Cordia africana, Erythrina brucei, Grevillea robusta, Moringa oleifera, Croton macrostachyus, Casimiroa edulis, and Juniperus procera exhibited fair regeneration. Other species such as Mangifera indica, Terminalia brownie, Psidium guajava, Hagenia abyssinica, Citrus sinensis, and Coffea arabica were found at a good regeneration status (Appendix Table A3).

Coffea arabica was found to have the highest IVI and at good regeneration status (Tables 7 and 10). This species holds significant socioeconomic value, in the form of income generation and serving as a popular beverage in the community (Table 10). Additionally, other exotic woody species such as Mangifera indica, Persea americana, and Moringa oleifera were highly preferred due to their edibility and income-generating potential (Table 10). Eucalyptus grandis and Grevillea robusta woody species were frequently observed in the managing plots of smallholders. These woody species are also known by their fast-growing nature, high-income generation, and multipurpose uses. Juniperus procera, Cordia africana, Croton macrostachyus, and Millettia ferruginea were among the most preferred native woody species for conservation (Table 10). They hold significant economic value in the form of house construction materials, income generators, live fences, shade, and fuel sources (Table 10).

Table 10. Preferences and plantation purposes of woody species by the smallholders.
Woody species Respondents (N = 150) Plan for seedling plantation Purposes of woody species
No % IG C Fl LF Sd SM F
Coffea arabica 143 95.3 12,950 143 67 149
Mangifera indica 137 91.3 822 144 25 34 148
Eucalyptus grandis 129 86.0 8450 129 128 93 114 17
Grevillea robusta 126 84.0 2520 121 125 86 122 53 21
Persea Americana 123 82.0 512 120 11 32 45 149
Juniperus procera 108 72.0 508 67 106 95 103 14 28
Cordia africana 97 64.7 485 36 95 71 18 85 83
Croton macrostachyus 93 62.0 372 71 82 64 25 73 58
Millettia ferruginea 85 56.7 255 48 82 87 39 64 51
Moringa oleifera 81 54.0 233 52 27 81 24 19 85
  • Note: F = food, C = construction wood, Fl = fuel wood, Sd = shade.
  • Abbreviations: IG = income generation, LF = live fencing, SM = soil management.

3.5. Preferences and Plantation Purposes of Woody Species by the Smallholders

Woody species presented in Table 10 are the most preferred by smallholder to their various functional and ecological purposes. Indigenous woody species such as Acacia tortilis, Juniperus procera, Cordia Africana, Croton macrostachyus, and Millettia ferruginea were observed in better abundance in the assessed land use types (Appendix Table A2). Among these indigenous woody species, Juniperus procera, Cordia Africana, Croton macrostachyus, and Millettia ferruginea were the most preferred by smallholders (Table 10). These species are highly preferred by the smallholders due to their fast growing, giving shade, income generation, construction wood, fuelwood, live fencing, and soil management purposes (Table 10). The most preferred exotic woody species included Coffea arabica, Mangifera indica, Eucalyptus grandis, Grevillea robusta, Persea americana, and Moringa oleifera (Table 10). Among these woody species Eucalyptus grandis and Grevillea robusta mainly preferred for income generation, construction wood, fuelwood, and live fencing. Whereas Coffea arabica, Mangifera indica, Persea americana, and Moringa oleifera for food, income generation, and shade (Table 10).

4. Discussion

4.1. Woody Species Composition and Diversity in Different Land Use Types of KAL

The results of this study showed that the Fabaceae woody family is dominant in the study area. Similar studies conducted elsewhere [5, 9, 33, 34] have also reported the prevalence of Fabaceae woody species. This dominance is likely due to its ability to adapt to various ecological zones in the KAL and elsewhere. However, a study by Tegene et al. [11] and Yahya et al. [35] did not repot Fabaceae among the top families of woody species in Doshke Forest of Chencha, Ethiopia, and Yerer Mountain Forest of Central Highlands, Ethiopia, respectively. As the most dominant families in Doshke Forest of Chencha were Myrsinaceae and Rubiaceae [11], Anacardiaceae and Celastraceae were the dominant families in the Yerer Mountain Forest [35]. The variation in woody family could be attributed to difference in geographical location, level of management by the community, climatic, and anthropogenic factors [5, 34].

The majorities (65.75%) of the identified woody species were in tree form, followed by shrubs in the study area. This could be attributed to the suitability of climatic and soil condition. The dominance of tree form is also reported in different parts of the world [7, 33, 36]. Grazing land had the second lowest amount of woody species next to farmland. Our site observations also confirmed that woody plants were distributed in small patches in grazing land. Species such as Balanites aegyptiaca, Acacia bussei, Dichrostachys cinerea, Dodonaea viscose, Entada abyssinica, and Acacia seyal were frequently found in grazing and woodland. Key informants described these woody species as bush encroachers, invaders, and indicators of land degradation. This suggests that the quality of these land uses is deteriorating due to extensive grazing, which could lead to the loss of some woody species seedlings. This finding is consistent with other studies [9, 10, 33].

The higher H′ value in the agroforestry indicates greater diversity of woody species than others due to its ability to retain native woody species from the nearby natural forests, the plantation of exotic woody species by smallholders, and degradation of the forest. The E value related to the H′ value suggests that there is an uneven distribution of woody species. This means that within a system marked by a high diversity of woody species, certain species are more abundant than others. This finding coincides with the results of Eyasu et al. [10]. Despite anthropogenic disturbances, the forest land reflected relatively better diversity of woody species next to agroforestry. As Mucheye and Yemata [5] reported a larger H′ value from a dry Afromontane forest, Lemi et al. [4] reported a smaller H′ value from Dindin Natural Forest, South East of Ethiopia. This variation could be attributed to differences in the level of anthropogenic disturbances, differences in management, and environmental factors [7, 10, 34, 35]. About 16 woody species that recorded from all the assessed land uses indicated the existence of some multipurpose native woody species in agroforestry and farmland. However, SSI showed a higher dissimilarity in woody species between agroforestry and other land use types. This is due to smallholders introducing exotic woody species (Persea americana, Eucalyptus grandis, Grevillea robusta, Moringa oleifera, Casimiroa edulis, and Mangifera indica) into the system. This finding confirms the results reported by Eyasu et al. [10], who concluded a higher dissimilarity of woody species between homegarden agroforestry and natural forests.

4.2. Importance and Stand Structure of Woody Species

Since woody species that possess a high IVI are considered ecologically more significant than those with a low IVI [10], Cordia africana, Acacia tortilis, and Erica arborea are ecologically important in cultivated lands of the study landscape. These woody species possessed the greatest ecological significance and socioeconomic aspects. Other scholars [4, 7, 10, 34, 35] also reported that woody species that possess a high IVI have the greatest ecological significance and socioeconomic contribution. On the other hand, woody species like Podocarpus falcatus, Acacia nigra, and Acacia abyssinica exhibited the lowest IVI and RDo in the KAL. According to the findings of other scholars [4, 9, 10], this finding implied that these species are threatened and require immediate intervention.

The diameter class distribution of woody species in agroforestry land use showed a consistent decrease in the number of woody individuals as diameter classes increased (Figure 4). This resulted in an inverted J-shape (L-shape) pattern implied the presence of highest density of woody individuals in the lower diameter classes with a gradual decrease as the diameter classes increased. This distribution pattern could be attributed to the selective removal of middle and high-diameter class trees for various purposes by land owners/managers and reflected adequate seedling reproduction, regeneration, and recruitment. This finding is similar to the findings reported by [9, 10] and [14]. On the other hand, an interrupted distribution of woody individuals from lower to higher diameter class in forest, grazing, and woodland may indicate poor reproduction of woody species. The decline in the density of woody individuals within the upper diameter class in forest, wood, and grazing land of the KAL might be linked to illegal logging by the local people. Similar findings were reported by Tesfay et al. [9] from the Gra-Kahsu natural vegetation, southern Tigray.

In the agroforestry, there is a higher frequency of younger or smaller woody plants in the lower height classes. This suggests good regeneration in these areas [5]. In this land use, taller trees are used to provide shade for shorter woody species, and their lateral branch growth is managed to facilitate the growth of smaller plants. Farm management activities and selective woody species plantation in agroforestry facilitate the distribution of tree height classes. Gebeyehu et al. [8] also indicated that the farm management activities and selective woody species plantation in agroforestry affect the height class distribution of trees. In forest land, there is a dominance of middle-height classes of woody individuals, indicating selective removal of mature and larger trees. However, illegal wood chopping and uncontrolled grazing threaten the forest land, leading to poor regeneration. Studies elsewhere have also reported that free grazing and resource exploitation are major challenges for plant regeneration [10, 34].

4.3. Analysis of Regeneration Status

The analysis of woody species growth status (seedling, sapling, and mature) and their densities is important for understanding the regeneration status of a plant community and designing appropriate means of management [21]. In farmland, 19.2% of woody species were not found at the seedling stage. This could be attributed to smallholders managing the land for annual cropping often for seasonal oxen plowing. The absence of seedlings in grazing and woodland for many woody species could be linked with uncontrolled pasturing. According to Gebeyehu et al. [8], this indicates a higher likelihood of discontinuity in their population structures. Notably, woody species such as Acacia nigra, Acacia abyssinica, and Podocarpus falcatus occurred without seedlings and saplings. As suggested by other similar studies elsewhere [9, 10, 35], species with few or no seedlings and saplings are at risk of local extinction. Thus, this finding implies that these woody species should receive priority in conservation management.

At KAL, agroforestry was observed to have a majority of woody species showing good or fair regeneration status. According to Tesfay et al. [9], the regeneration status of natural vegetation is considered good if there are more saplings than seedlings and more seedlings than mature trees. It is considered fair if there are more mature trees than saplings and more saplings than seedlings. In the case of agroforestry, there were more saplings than seedlings, and more seedlings than mature trees. This could be attributed to the presence of mature trees in agroforestry, which contribute to the availability of viable seeds for germination [10, 12]. Woody species (Olea capensis and Acacia brevispica), which were found to have a fair regeneration status in forest, are ecologically less important and invasive in nature. The fair regeneration status of these species could be linked to their unpalatability to herbivores. This finding suggests intervention to control the dominance of woody species with invasive nature in the forest.

4.4. Preferences and Plantation Purposes of Woody Species by the Smallholders

The results from the IVI and regeneration status of woody species suggest a promising prospect for exotic species which used for construction, fuel wood, and fruit production. Mainly smallholders of the studied landscape preferred exotic woody species (Eucalyptus grandis and Grevillea robusta) and grow in agroforestry land use due to their rapid growth, space efficiency, and marketability. These exotic woody species used for income generation, construction wood, fuelwood, and live fencing in KAL. Other fruit trees (Mangifera indica and Persea americana) and stimuli (Coffea Arabica) also planted in agroforestry land use for food, income generation, and shade purposes. This finding is similar with other scholars [9, 10]. Likewise, indigenous woody species such as Juniperus procera, Cordia africana, Croton macrostachyus, and Millettia ferruginea exhibit high IVI, good/fair regeneration status, and possessed higher preference by smallholders mainly for income generation, construction wood, fuelwood, and live fencing. Tesfay et al. [9] and Yakob and Fekadu [34] also reported similar findings.

5. Conclusion and Recommendations

The KAL is predominantly populated by woody plants from the Fabaceae family. The present study confirmed that the diversity of woody species in agroforestry is higher and more evenly spread than in other land uses. A higher dissimilarity of woody species was also observed between agroforestry and other land use types. Majority of woody species in the current study were recorded from agroforestry land use. This is due to the significance of agroforestry in preserving the most economical and ecologically valued woody species other land uses. Stand structural pattern of woody species (diameter and height) in different land uses of KAL, except in agroforestry land use, showed an interrupted distribution of woody individuals. The lower frequency of seedlings and saplings than mature tree individuals by majority woody species in forest, grazing, farmland, and woody land indicated poor regeneration status. The current preference for exotic woody species could pose a risk to native woody species. Agroforestry land use has been identified as a better land use type in promoting diversity and regeneration of woody species in KAL. Therefore, based on the finding of the present study, we recommended the promotion of agroforestry system to conserve and maintain woody species diversity. Special woody species diversity conservation measures should be taken to improve diversity and natural regeneration of poorly represented woody species. Due emphasis should be given to save those woody species under risk and low IVI values. Finally, the effect of woody species diversification on the livelihood of the community should be researched.

Ethics Statement

No parts of the study were concerned about humans and/or animal labs.

Disclosure

Appendices have been submitted as additional information for this paper.

Conflicts of Interest

The authors declare no conflicts of interest.

Author Contributions

Aden Abdurahman performed conceptualization, data collection, analysis, writing of the draft manuscript, and editing; Kitessa Hundera and Eshetu Yirsaw provided guidance for the paper, reviewing, commenting, and editing; Tibebu Alemu reviewed and commented. All authors have read and approved the final manuscript.

Funding

No funding was received for this research.

Acknowledgments

We are grateful to the study landscape local leaders, natural resource management experts, other key informants, focus group discussion participants, and sampled respondents who provided information and other support. Finally, we would like to thank our anonymous potential reviewers who made a great effort to enrich our manuscript.

    Appendix A

    Table A1. Woody family, origin, life form, and land uses in which woody species occurred in the assessed land use types of Koore’s agricultural landscape package.
    S. no Local name of woody species Scientific name of woody species and their origin Woody family Life form Land uses
    1 Adalle Erica arborea (In) Ericaceae S/T C, G, W, F
    2 Afukado Persea americana (Ex) Lauraceae T A
    3 Akire Euphorbia candelabrum (In) Euphorbiaceae T A
    4 Amibe Combretum molle (In) Combretaceae T C, G, W, F
    5 Apple Malus domestica (Ex) Rosaceae S A
    6 Auraga Ehretia cymosa (In) Boraginaceae S/T W, A, F
    7 Badane Balanites aegyptiaca (In) Balanitaceae T C, G, W, F
    8 Banine Bridelia micrantha (In) Euphorbiaceae T G, W, A, F
    9 Barzafe Boxe Eucalyptus globulus (Ex) Myrtaceae T A
    10 Barzafe Zo’o Eucalyptus grandis (Ex) Myrtaceae T A
    11 Biribira Millettia ferruginea (In, EE) Fabaceae T W, A, F
    12 Bobo Ficus sur (In) Moraceae T All
    13 Bobo Lagiyo Calotropis procera (In) Asclepiadaceae S F
    14 Bola Cordia africana (In) Boraginaceae T All
    15 Boro Erythrina brucei (In, EE) Fabaceae T All
    16 Burtukane Citrus sinensis (Ex) Rutaceae S/T A
    17 Buzena Vernonia auriculifera (In) Asteraceae S/T All
    18 Chacha Acacia bussei (In) Fabaceae S/T W, F
    19 Chat Catha edulis (In) Celastraceae S/T A
    20 Dene Melia azedarach (Ex) Meliaceae T A
    21 Dhadacha Acacia tortilis (In) Fabaceae T All
    22 Dhano Ximenia Americana (In) Olacaceae S/T W, F
    23 Dirre Mixe Delonix regia (Ex) Fabaceae T A
    24 Dolle Acacia nigra (In) Fabaceae T All
    25 Faranje Bibire Cupressus lusitanica (Ex) Cupressaceae T A
    26 Faranje Zori’a Morus alba (Ex) Moraceae T A
    27 Gambella Gardenia volkensii (In) Rubiaceae T G, F
    28 Gasso Olea capensis (In) Oleaceae T F
    29 Gehe bolitiyo Calotropis procera (In) Asclepiadaceae S/T W
    30 Gehe Ficus vasta (In) Moraceae T All
    31 Gishita Annona senegalensis (Ex) Annonaceae S/T A
    32 Gora Vernonia amygdalina (In) Asteraceae S/T All
    33 Grabiliya Grevillea robusta (Ex) Proteaceae T A
    34 Gulita Olea europaea (In) Oleaceae T All
    35 Halako Moringa oleifera (Ex) Moringaceae T C, A
    36 Hamaresa Acacia brevispica (In) Fabaceae S/T F
    37 Harfa Croton macrostachyus (In) Euphorbiaceae T All
    38 Hayilatso Rhamnus prinoides (In) Rhamnaceae S/T W, A, F
    39 Hudha Carissa spinarum (In) Apocynaceae S/T W, F
    40 Huribo Acacia albida (In) Fabaceae T All
    41 Jakaranda Jacaranda mimosifolia (Ex) Bignoniaceae T A
    42 Kazimira Casimiroa edulis (Ex) Rutaceae T A
    43 Kilikilo Dichrostachys cinerea (In) Fabaceae S G
    44 Koke Prunus persica (Ex) Rosaceae T A
    45 Kontire Acacia senegal (In) Fabaceae S/T F
    46 KooretoBibire Juniperus procera (In) Cupressaceae T All
    47 Koso Mixee Hagenia abyssinica (In) Rosaceae T C, G, W, F
    48 Lome Citrus aurantifolia (Ex) Rutaceae S/T A
    49 Mango Mangifera indica (Ex) Anacardiaceae T A
    50 Mereka Pouteria adolfi-friedericii (In) Sapotaceae T W
    51 Ochee Syzygium guineense (In) Myrtaceae T W, A, F
    52 Qaga Rosa abyssinica (In) Rosaceae S/T G, W, F
    53 Qamile Qmi’oo Galiniera saxifrage (In) Rubiaceae S/T F
    54 Qami’oo Coffea Arabica (In) Rubiaceae S/T A
    55 Qunido Schinus molle (Ex) Anacardiaceae T A
    56 Sabuno Acacia abyssinica (In) Fabaceae T All
    57 Salene ille Phoenix reclinata (In) Arecaceae T G, W, A, F
    58 Sanigara Dodonaea viscose (In) Sapindaceae S/T G, W, F
    59 Shiwashiwe Casuarina equisetifolia (Ex) Casuarinaceae T A
    60 Shore Sello Mimusops kummel (In) Sapotaceae T F
    61 Sisa Albizia gummifera (In) Fabaceae T A, F
    62 Tala Polyscias fulva (In) Araliaceae T G, W, A, F
    63 Tenitira Acacia polyacantha (In) Fabaceae T All
    64 Tirnigo Citrus medica (Ex) Rutaceae S/T A
    65 Tsedo Rhamnus staddo (In) Rhamnaceae S/T F
    66 Tsurura Entada abyssinica (In) Fabaceae T G, W
    67 Wachu Acacia seyal (In) Fabaceae T G, W, F
    68 Weybeta Terminalia brownie (In) Combretaceae T All
    69 Wusse Grewia bicolor (In) Tiliaceae S/T F
    70 Zargete Rhus vulgaris (In) Anacardiaceae S/T G, W, F
    71 Zeytuna Psidium guajava(Ex) Myrtaceae T A
    72 Zigesse Podocarpus (In) Podocarpaceae T All
    73 Zoyira Hagenia abyssinica (In) Rosaceae T A
    • Note: In = indigenous, Ex = exotic, EE = endemic to Ethiopia, T = tree, S = shrub, S/T = shrub/tree, C = cultivation, G = grazing land, W = woodland, F = forest, A = agroforestry, All = species found in all land use types.
    Table A2. Importance value index (IVI) of woody species in assessed land use types of Koore’s agricultural landscape.
    Fre RF RDo RDe IVI Rank
    Woody species in cultivation land
    Cordia africana 31 18.90 15.39 18.90 53.19 1
    Acacia tortilis 20 12.20 18.94 12.20 43.34 2
    Erythrina brucei 23 14.02 12.24 14.02 40.28 3
    Moringa oleifera 9 5.49 7.04 5.49 18.02 4
    Vernonia amygdalina 11 6.71 3.71 6.71 17.13 5
    Juniperus procera 10 6.10 3.90 6.10 16.10 6
    Erica arborea 8 4.88 2.47 4.88 12.23 7
    Acacia polyacantha 5 3.04 5.20 3.05 11.29 8
    Acacia albida 5 3.04 4.64 3.05 10.73 9
    Croton macrostachyus 5 3.04 4.19 3.05 10.28 10
    Olea africana 6 3.66 2.10 3.66 9.42 11
    Ficus vasta 3 1.83 4.57 1.83 8.23 12
    Acacia nigra 4 2.44 3.59 2.44 8.47 13
    Balanites aegyptiaca 4 2.44 3.11 2.44 7.99 14
    Acacia abyssinica 3 1.83 3.18 1.83 6.48 15
    Terminalia brownie 4 2.44 1.01 2.44 5.89 16
    Vernonia auriculifera 4 2.44 0.90 2.44 5.78 17
    Hagenia abyssinica 3 1.83 1.10 1.82 4.75 18
    Ficus sur 3 1.83 1.01 1.83 4.67 19
    Combretum molle 2 1.22 1.16 1.22 3.60 20
    Podocarpus falcatus 1 0.61 0.56 0.61 1.78 21
      
    Woody species in grazing land
    Acacia tortilis 23 9.86 15.59 10.30 35.75 1
    Cordia africana 18 7.72 10.74 7.73 26.19 2
    Combretum molle 18 7.72 6.37 9.01 23.10 3
    Croton macrostachyus 15 6.43 6.10 5.58 18.11 4
    Rhus vulgaris 11 4.71 6.61 6.01 17.33 5
    Erythrina brucei 13 5.58 3.08 5.58 14.24 6
    Phoenix reclinata 12 5.14 4.07 3.86 13.07 7
    Erica arborea 13 5.58 2.63 4.29 12.50 8
    Vernonia auriculifera 11 4.71 1.92 4.29 10.92 9
    Vernonia amygdalina 9 3.86 2.48 3.86 10.20 10
    Acacia nigra 9 3.86 1.44 3.86 9.16 11
    Acacia abyssinica 6 2.58 3.92 2.57 9.07 12
    Juniperus procera 6 2.58 3.89 2.58 9.05 13
    Olea europaea 5 2.15 3.44 3.00 8.59 14
    Entada abyssinica 5 2.15 3.86 2.57 8.58 15
    Acacia albida 5 2.15 2.81 3.00 7.96 16
    Acacia seyal 6 2.58 2.39 2.57 7.51 17
    Dodonaea viscose 6 2.58 2.27 2.57 7.42 18
    Polyscias fulva 5 2.15 2.09 2.58 6.82 19
    Ficus vasta 6 2.58 0.69 1.72 4.99 20
    Terminalia brownie 3 1.29 2.30 1.29 4.88 21
    Dichrostachys cinerea 3 1.29 2.30 1.29 4.88 22
    Acacia polyacantha 4 1.72 2.06 0.86 4.64 23
    Ficus sur 4 1.72 1.11 1.72 4.55 24
    Balanites aegyptiaca 4 1.72 0.72 1.72 4.16 25
    Bridelia micrantha 3 1.29 1.53 1.29 4.11 26
    Hagenia abyssinica 3 1.29 1.49 1.29 4.07 27
    Rosa abyssinica 3 1.29 1.17 1.29 3.75 28
    Podocarpus falcatus 2 0.86 0.63 0.86 2.35 29
    Gardenia volkensii 2 0.86 0.27 0.86 1.99 30
      
    Woody species in wood land
    Acacia polyacantha 29 7.02 17.31 7.51 31.84 1
    Acacia tortilis 42 10.17 9.37 10.17 29.71 2
    Juniperus procera 42 10.17 6.32 9.93 26.42 3
    Erythrina brucei 27 6.54 6.27 7.02 19.83 4
    Acacia abyssinica 13 3.15 5.67 3.15 11.97 5
    Rhamnus prinoides 18 4.36 2.83 4.36 11.55 6
    Cordia africana 14 3.39 4.31 3.39 11.09 7
    Hagenia abyssinica 16 3.87 3.35 3.87 11.09 8
    Rhus vulgaris 17 4.12 2.06 4.12 10.3 9
    Balanites aegyptiaca 13 3.15 2.49 3.14 8.78 10
    Vernonia amygdalina 12 2.91 2.55 3.15 8.61 11
    Phoenix reclinata 14 3.39 2.25 2.90 8.54 12
    Polyscias fulva 13 3.15 2.23 3.15 8.53 13
    Croton macrostachyus 11 2.66 2.94 2.66 8.26 14
    Acacia nigra 11 2.66 2.53 2.66 7.85 15
    Olea europaea 10 2.42 2.57 2.42 7.41 16
    Millettia ferruginea 12 2.91 2.01 2.42 7.34 17
    Podocarpus falcatus 7 1.69 3.35 1.69 6.73 18
    Rosa abyssinica 8 1.94 2.00 1.94 5.88 19
    Combretum molle 9 2.18 1.47 2.18 5.83 20
    Erica arborea 8 1.94 1.36 1.94 5.24 21
    Acacia albida 6 1.45 2.34 1.45 5.24 22
    Pouteria adolfi-friedericii 7 1.69 1.64 1.69 5.02 23
    Dodonaea viscose 7 1.69 0.86 1.69 4.24 24
    Ficus sur 5 1.21 1.69 1.21 4.11 25
    Acacia seyal 6 1.45 1.21 1.45 4.11 26
    Ehretia cymosa 6 1.45 1.15 1.45 4.05 27
    Terminalia brownie 5 1.21 1.02 1.22 3.45 28
    Bridelia micrantha 5 1.21 1.02 1.21 3.44 29
    Ficus vasta 3 0.73 1.56 0.73 3.02 30
    Vernonia auriculifera 4 0.97 0.50 0.97 2.44 31
    Syzygium guineense 3 0.73 0.58 0.73 2.04 32
    Ximenia americana 3 0.73 0.48 0.73 1.94 33
    Entada abyssinica 3 0.73 0.37 0.73 1.83 34
    Carissa spinarum 2 0.48 0.13 0.48 1.09 35
    Calotropis procera 1 0.24 0.13 0.24 0.61 36
    Acacia nilotica 1 0.24 0.09 0.24 0.57 37
      
    Woody species in forest land
    Acacia tortilis 62 6.91 7.87 7.13 21.91 1
    Olea capensis 42 4.68 6.88 5.46 17.02 2
    Acacia polyacantha 58 6.47 4.57 5.91 16.95 3
    Olea europaea 36 4.01 5.51 4.46 13.98 4
    Syzygium guineense 33 3.68 4.44 4.24 12.36 5
    Millettia ferruginea 33 3.68 4.47 3.68 11.83 6
    Juniperus procera 34 3.79 4.04 3.9 11.73 7
    Rosa abyssinica 27 3.11 5.15 3.01 11.27 8
    Erica arborea 37 4.12 1.88 4.68 10.68 9
    Cordia africana 27 3.01 4.28 3.01 10.30 10
    Rhus vulgaris 26 2.9 3.67 3.57 10.14 11
    Acacia nigra 32 3.57 2.84 3.57 9.98 12
    Terminalia brownie 29 3.23 3.08 3.23 9.54 13
    Phoenix reclinata 21 2.34 3.41 2.9 8.65 14
    Rhamnus staddo 29 3.23 2.29 2.9 8.42 15
    Acacia brevispica 22 2.45 2.46 2.9 7.81 16
    Rhamnus prinoides 20 2.23 3.32 2.23 7.78 17
    Dodonaea viscose 32 3.57 1.59 2.45 7.61 18
    Erythrina brucei 23 2.56 2.37 2.56 7.49 19
    Combretum molle 21 2.14 2.05 2.34 6.53 20
    Acacia abyssinica 18 2.01 2.26 2.01 6.28 21
    Podocarpus falcatus 15 1.67 2.33 1.67 5.67 22
    Polyscias fulva 27 3.11 0.78 1.56 5.45 23
    Croton macrostachyus 19 2.12 1.2 2.01 5.33 24
    Ficus sur 15 1.67 1.46 1.67 4.8 25
    Hagenia abyssinica 11 1.23 2.22 1.23 4.68 26
    Galiniera saxifrage 12 1.34 1.91 1.34 4.59 27
    Balanites aegyptiaca 14 1.56 1.43 1.56 4.55 28
    Bridelia micrantha 9 1 1.83 1 3.83 29
    Acacia seyal 13 1.45 0.78 1.45 3.68 30
    Acacia albida 9 1 1.07 1.23 3.30 31
    Albizia gummifera 11 1.23 0.77 1.23 3.23 32
    Vernonia auriculifera 13 1.45 0.54 1.11 3.10 33
    Vernonia amygdalina 11 1.23 0.43 1.23 2.89 34
    Acacia senegal 9 1 0.99 0.89 2.88 35
    Grewia bicolor 9 1 0.76 0.78 2.54 36
    Mimusops kummel 5 0.56 0.93 0.56 2.05 37
    Carissa spinarum 8 0.89 0.36 0.78 2.03 38
    Ficus vasta 5 0.56 0.65 0.56 1.77 39
    Ehretia cymosa 5 0.56 0.26 0.56 1.38 40
    Acacia bussei 4 0.45 0.35 0.45 1.25 41
    Gardenia volkensii 4 0.45 0.26 0.45 1.16 42
    Ximenia Americana 3 0.33 0.26 0.33 0.92 43
    Calotropis procera 4 0.45 0.03 0.22 0.7 44
      
    Woody species in agroforestry system
    Coffea Arabica 158 15.02 8.04 13.95 37.01 1
    Grevillea robusta 93 8.84 7.01 7.61 23.46 2
    Cordia africana 57 5.42 9.88 5.32 20.62 3
    Mangifera indica 82 7.8 3.97 7.98 19.75 4
    Persea americana 55 5.23 6.56 5.32 17.11 5
    Eucalyptus grandis 47 4.47 4.6 4.47 13.54 6
    Millettia ferruginea 34 3.23 4.94 3.23 11.4 7
    Eucalyptus globulus 40 3.8 3.48 3.8 11.08 8
    Casimiroa edulis 27 2.57 5.58 2.57 10.72 9
    Malus domestica 39 3.71 2.58 3.71 10.00 10
    Croton macrostachyus 31 2.95 3.62 2.95 9.52 11
    Acacia polyacantha 28 2.66 3.08 1.99 7.73 12
    Cordia africana 56 5.32 1.83 0.57 7.72 13
    Moringa oleifera 19 1.81 3.68 1.81 7.30 14
    Erythrina brucei 22 2.09 2.7 1.52 6.31 15
    Catha edulis 24 2.28 1.56 2.28 6.12 16
    Juniperus procera 25 2.38 1.5 2 5.88 17
    Acacia tortilis 13 1.24 2.24 1.23 4.71 18
    Acacia abyssinica 11 1.05 1.8 1.04 3.89 19
    Euphorbia candelabrum 13 1.24 1.42 1.23 3.89 20
    Acacia albida 6 0.57 2.43 0.86 3.86 21
    Syzygium guineense 8 0.76 1.94 0.76 3.46 22
    Citrus sinensis 15 1.43 0.85 0.95 3.23 23
    Psidium guajava 15 1.43 0.81 0.95 3.19 24
    Vernonia amygdalina 8 0.76 1.16 1.23 3.15 25
    Terminalia brownie 13 1.24 0.86 0.86 2.96 26
    Vernonia auriculifera 8 0.76 0.89 1.14 2.79 27
    Morus alba 11 1.05 0.66 1.05 2.76 28
    Citrus aurantifolia 12 1.14 0.53 1.05 2.72 29
    Hagenia abyssinica 12 1.14 0.47 0.48 2.09 30
    Cupressus lusitanica 7 0.67 0.58 0.66 1.91 31
    Melia azedarach 6 0.57 0.71 0.57 1.85 32
    Annona senegalensis 7 0.67 0.39 0.67 1.73 33
    Acacia nigra 3 0.29 0.66 0.28 1.23 34
    Jacaranda mimosifolia 3 0.29 0.61 0.28 1.18 35
    Bridelia micrantha 4 0.38 0.37 0.38 1.13 36
    Ficus sur 3 0.29 0.56 0.28 1.13 37
    Citrus medica 6 0.57 0.12 0.38 1.07 38
    Delonix regia 3 0.29 0.48 0.29 1.06 39
    Albizia gummifera 7 0.67 0.18 0.19 1.04 40
    Casuarina equisetifolia 4 0.38 0.2 0.38 0.96 41
    Prunus persica 3 0.29 0.32 0.28 0.89 42
    Phoenix reclinata 3 0.29 0.17 0.28 0.74 43
    Rhamnus prinoides 3 0.29 0.09 0.28 0.66 44
    Schinus molle 2 0.19 0.21 0.19 0.59 45
    Olea europaea 2 0.19 0.18 0.19 0.56 46
    Ehretia cymosa 2 0.19 0.17 0.19 0.55 47
    Podocarpus falcatus 1 0.1 0.22 0.1 0.42 48
    Polyscias fulva 1 0.1 0.1 0.19 0.39 49
    • Note: Fre = frequency.
    • Abbreviations: IVI = importance value index, RD = relative density, RDo = relative dominance, RF = relative frequency.
    Table A3. Regeneration status of woody species in assessed land use types of Koore’s agricultural landscape.
    Scientific name of species in cultivation land Matures Sapling Seedling Regeneration status
    Erica arborea 1 4 2 Good
    Combretum molle 2 Under risky
    Balanites aegyptiaca 3 1 Poor
    Ficus sur 1 1 1 Poor
    Cordia africana 17 8 6 Fair
    Erythrina brucei 10 13 Poor
    Vernonia auriculifera 1 2 2 Poor
    Acacia tortilis 4 Under risky
    Acacia nigra 18 2 Poor
    Ficus vasta 3 Under risky
    Vernonia amygdalina 6 4 1 Fair
    Olea europaea 3 2 1 Fair
    Moringa oleifera 6 3 Poor
    Croton macrostachyus 1 4 2 Good
    Acacia albida 4 1 Poor
    Juniperus procera 6 2 Poor
    Hagenia abyssinica 1 2 Poor
    Acacia abyssinica 5 Poor
    Acacia polyacantha 3 2 Poor
    Terminalia brownie 4 3 Poor
    Podocarpus falcatus 1 Under risky
    Scientific name of species in grazing land Matures Sapling Seedling Regeneration status
    Erica arborea 3 6 4 Good
    Combretum molle 8 9 1 Fair
    Balanites aegyptiaca 2 1 1 Poor
    Bridelia micrantha 3 Under risky
    Ficus sur 2 2 Poor
    Cordia africana 11 7 Poor
    Erythrina brucei 2 6 5 Good
    Vernonia auriculifera 7 4 Poor
    Acacia tortilis 10 9 4 Fair
    Acacia nigra 9 Under risky
    Gardenia volkensii 1 1 Poor
    Ficus vasta 3 2 1 Fair
    Vernonia amygdalina 2 4 3 Good
    Olea europaea 2 3 Poor
    Croton macrostachyus 7 6 2 Fair
    Acacia albida 2 1 2 Poor
    Dichrostachys cinerea 2 1 Poor
    Juniperus procera 4 2 Poor
    Hagenia abyssinica 1 2 Poor
    Rosa abyssinica 1 2 Poor
    Acacia abyssinica 6 Under risky
    Phoenix reclinata 5 4 3 Fair
    Dodonaea viscose 3 3 Poor
    Polyscias fulva 2 3 Poor
    Acacia polyacantha 3 1 Poor
    Entada abyssinica 4 1 Poor
    Acacia seyal 3 3 Poor
    Terminalia brownie 3 Under risky
    Rhus vulgaris 3 6 2 Fair
    Podocarpus falcatus 2 Under risky
    Scientific name of species in woodland Matures Sapling Seedling Regeneration status
    Erica arborea 4 2 2 Poor
    Combretum molle 4 2 3 Poor
    Ehretia cymosa 4 1 1 Poor
    Balanites aegyptiaca 3 5 5 Poor
    Bridelia micrantha 2 1 2 Poor
    Millettia ferruginea, EE 3 5 4 Good
    Ficus sur 2 3 Poor
    Cordia africana 8 4 2 Fair
    Erythrina brucei 4 14 9 Good
    Vernonia auriculifera 1 2 1 Poor
    Acacia nilotica 1 Poor
    Acacia tortilis 19 15 8 Fair
    Ximenia americana 1 2 Poor
    Acacia nigra 11 Under risky
    Ficus vasta 2 1 Poor
    Calotropis procera 1 Under risky
    Vernonia amygdalina 7 5 Poor
    Olea europaea 5 4 1 Fair
    Croton macrostachyus 5 6 Poor
    Rhamnus prinoides 8 7 3 Fair
    Carissa spinarum 1 1 Poor
    Acacia albida 2 2 2 Poor
    Juniperus procera 18 17 7 Fair
    Hagenia abyssinica 8 8 Poor
    Pouteria adolfi-friedericii 5 2 Poor
    Syzygium guineense 1 2 Poor
    Rosa abyssinica 3 5 Poor
    Acacia abyssinica 13 Under risky
    Phoenix reclinata 6 5 3 Fair
    Dodonaea viscose 1 6 Poor
    Polyscias fulva 6 4 3 Fair
    Acacia polyacantha 19 10 Poor
    Entada abyssinica 1 1 1 Poor
    Acacia seyal 4 2 Poor
    Terminalia brownie 4 1 Poor
    Rhus vulgaris 1 12 4 Good
    Podocarpus 7 Under risky
    Scientific name of species in forest land Matures Sapling Seedling Regeneration status
    Erica arborea 14 24 4 Poor
    Combretum molle 13 8 Poor
    Ehretia cymosa 2 3 Poor
    Balanites aegyptiaca 8 6 Poor
    Bridelia micrantha 8 1 Poor
    Millettia ferruginea 19 12 2 Fair
    Ficus sur 10 5 Poor
    Calotropis procera 2 2 Poor
    Cordia africana 21 6 Poor
    Erythrina brucei 13 9 1 Fair
    Vernonia auriculifera 3 8 7 Good
    Acacia bussei 2 2 Poor
    Acacia tortilis 38 29 1 Fair
    Ximenia Americana 1 2 Poor
    Acacia negra 32 Under risky
    Gardenia volkensii 2 2 Poor
    Olea capensis 34 12 3 Fair
    Ficus vasta 3 2 Poor
    Rhamnus prinoides 14 6 Poor
    Vernonia amygdalina 4 5 2 Poor
    Olea europaea 23 9 9 Poor
    Acacia brevispica 12 10 3 Fair
    Croton macrostachyus 8 7 4 Fair
    Carissa spinarum 4 2 2 Poor
    Acacia albida 5 2 2 Poor
    Acacia senegal 5 4 Poor
    Juniperus procera 16 11 7 Fair
    Hagenia abyssinica 7 4 Poor
    Syzygium guineense 23 13 2 Fair
    Rosa abyssinica 26 1 Poor
    Galiniera saxifrage 5 3 4 Poor
    Acacia abyssinica 18 Under risky
    Phoenix reclinata 12 9 4 Fair
    Dodonaea viscose 10 14 13 Good
    Mimusops kummel 4 1 Poor
    Albizia gummifera 5 4 2 Fair
    Polyscias fulva 7 11 9 Good
    Acacia polyacantha 53 9 3 Fair
    Rhamnus staddo 13 11 5 Fair
    Acacia seyal 6 2 5 Poor
    Terminalia brownie 16 9 4 Fair
    Grewia bicolor 4 4 1 Poor
    Rhus vulgaris 11 17 3 Poor
    Podocarpus falcatus 15 Under risky
    Scientific name of species in agroforestry system Matures Sapling Seedling Regeneration status
    Persea americana 27 21 7 Fair
    Euphorbia candelabrum 8 5 Poor
    Malus domestica 12 23 4 Poor
    Ehretia cymosa 1 1 Poor
    Bridelia micrantha 2 2 Poor
    Eucalyptus globulus 16 18 6 Fair
    Eucalyptus grandis 23 17 7 Fair
    Millettia ferruginea, EE 17 13 4 Fair
    Ficus sur 1 1 1 Poor
    Cordia africana 32 19 6 Fair
    Erythrina brucei 19 2 1 Fair
    Vernonia auriculifera 1 3 4 Poor
    Citrus sinensis 3 8 4 Good
    Catha edulis 11 8 5 Fair
    Melia azedarach 3 3 Poor
    Acacia tortilis 8 5 Poor
    Delonix regia 2 1 Poor
    Acacia nigra 3 Under risky
    Cupressus lusitanica 4 3 Poor
    Morus alba 3 3 5 Poor
    Annona senegalensis 3 2 2 Poor
    Vernonia amygdalina 1 2 5 Poor
    Grevillea robusta 52 29 12 Fair
    Olea europaea 1 1 Poor
    Moringa oleifera 9 8 2 Fair
    Croton macrostachyus 16 8 7 Fair
    Rhamnus prinoides 1 2 Poor
    Acacia albida 4 2 Poor
    Jacaranda mimosifolia 2 1 Poor
    Casimiroa edulis 15 11 1 Fair
    Prunus persica 2 1 Poor
    Juniperus procera 19 4 2 Fair
    Citrus aurantifolia 3 5 4 Good
    Mangifera indica 13 36 33 Good
    Syzygium guineense 3 5 Poor
    Coffea arabica 30 52 76 Good
    Schinus molle 1 1 Poor
    Acacia abyssinica 11 Under risky
    Phoenix reclinata 1 1 1 Poor
    Casuarina equisetifolia 1 1 2 Poor
    Albizia gummifera 4 2 1 Fair
    Polyscias fulva 1 Under risky
    Acacia polyacantha 25 2 1 Fair
    Citrus medica 1 3 2 Good
    Terminalia brownie 2 7 4 Good
    Psidium guajava 3 7 5 Good
    Podocarpus falcatus 1 Under risky
    Hagenia abyssinica 3 5 4 Good
    • Note: Good if sapling > seedling > matures, fair if matures > sapling > seedling, under risky if matures only without both sapling and seedling, and otherwise “Poor.”

    Appendix B: Semistructured Questionnaire

    Introduction.

    This questionnaire is prepared to collect data to undertake a research entitled “Evaluating Diversity, Structure, Regeneration Status and Preferences of Woody Species among Different Land Uses of Koore’s Agricultural Landscape, Southern Ethiopia.” Dear respondents, the result of this study will help different stakeholders and policy makers to understand the role of different land use types on woody species diversity conservation and management which helps to decide land resources management intervention in the future. Your responses are confidential. Therefore, you are kindly requested to provide genuine responses.

    General Information.

    Name of the enumerator ________________Signature _______ Date _________Q. No _____

    Respondent ID No ___________________ District _______ PA _______ Signature _______
    • A.

      Socioeconomic characteristics of households (circle the number you select)

    • 1.

      Age of household head ____________ and Sex of household head  (1) Male,  (2) Female

    • 2.

      Marital status  (1) Single,  (2) Married,  (3) Divorced,  (4) Widowed

    • 3.

      What is the level of education of household head?  (1) Illiterate,  (2) Read and write  (3) Junior and secondary (grades 7–12),  (4) Certificate and Above

    • 4.

      Total family numbers of the household___________________________

    • 5.

      Please tell us the details of your family members by age category

    image
    • 7.

      Did you have your own land?  (1) Yes,  (2) No

    • 8.

      If yes, how many plots do you have? _____. Totally how many times do you have? ______________________________________________________________

    • 9.

      Major annual crops of last year  (1) Maize,  (2) Teff,  (3) Haricot bean,  (4) Wheat,  (5) Barley,  (6) Sorghum  (7) Faba bean,  (8) Field Peas,  (9) Cabbage,  (10) Onion,  (11) Others_______________________________________

    • 10.

      What are your major perennial crops?  (1) Enset,  (2) Coffee,  (3) Sugar cane,  (4) Mango, (5) Avocado, (6) others, specify please _________________________________________

    • 11.

      What type of energy source do you use for your home-based consumption?  (1) Charcoal,  (2) Fuel wood,  (3) Crop residues,  (4) Electricity,  (5) Other, specify………………………………………………………………………….

    • 12.

      What land use types are abundantly found in your locality?  (1) Cultivation land,  (2) Forest,  (3) Grassland,  (4) Agroforestry,  (5) Woodland,  (6) Bush land,  (7) Barren land,  (8) Settlement,  (9) Wetland,  (10) Others, specify ……………………………….

    • B.

      Woody species future preferences by the community

    • 13.

      Do you have an experience of woody species plantation?  (1) Yes  (2) No

    • 14.

      If yes for Q13, what types of species did you plant?  (1) Native species  (2) Exotic species

    • 15.

      If you prepare native species, what are those woody species? (List in order of their importance) (1) ……………………. (2) ……………………… (3) ……………………(4) ………………………… (5) ……………………………… (6) ……………………

    • 16.

      Why do you prefer native species? (List in order of their importance/purpose for you) (1) ………………………… (2) ……………………………… (3) …………………… (4) …………………………. (5) …………………………… (6) ……………………

    • 17.

      If you prefer exotic species, what are those woody species? (List in order of their importance) (1) ………………………… (2) ……………………………… (3) …………………… (4) ………………………… (5) …………………………… (6) ……………………

    • 18.

      Why do you prefer native species? (List in order of their importance/purpose for you) (1) ………………………… (2) ……………………………… (3) …………………… (4) ………………………… (5) …………………………… (6) ……………………

    Thank You for Your Co-operation!!!

    Appendix C: Checklist for Focus Group Discussion and Key Informants’ Interview

    The following checklist contains different questions which aiming at supportive data gathering, pretesting of questionnaire, and crosschecking of datum that will collected from sampled households. The checklist will be used to guide interviews of key informants and focus group discussions that will comprise experts of the issue concern, well-experienced elders from the community including women.
    • 1.

      What are the land use types found in your locality? List the land use types orderly from the largest to smallest land coverage.

    • 2.

      What is the experience of woody species plantation trend seems in your locality?

    • 3.

      What types of species are commonly planted? (native species or exotic species)

    • 4.

      If native species, what are those woody species? (List in order of their importance) and for what purpose these native woody species are planted?

    • 5.

      If exotic species, what are those woody species? (List in order of their importance) and for what purpose these exotic woody species are planted?

    • 6.

      By your perception, which woody species (exotic or native) will dominate in your locality?

    Thank You for Your Co-operation!!!

    Data Availability Statement

    Data are available on request from the corresponding author.

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