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Similar bird communities in homegardens at different distances from Afromontane forests

Published online by Cambridge University Press:  15 August 2016

DRIES ENGELEN
Affiliation:
Department of Ecology, Environment and Plant Sciences, Stockholm University, SE-106 91, Stockholm, Sweden.
DEBISSA LEMESSA
Affiliation:
Department of Ecology, Environment and Plant Sciences, Stockholm University, SE-106 91, Stockholm, Sweden.
ÇAĞAN H. ŞEKERCIOĞLU
Affiliation:
Department of Biology, University of Utah, Salt Lake City, UT 84112, USA. College of Sciences, Koç University, Rumelifeneri, Sariver 34450, Istanbul, Turkey.
KRISTOFFER HYLANDER*
Affiliation:
Department of Ecology, Environment and Plant Sciences, Stockholm University, SE-106 91, Stockholm, Sweden.
*
*Author for correspondence; e-mail: kristoffer.hylander@su.se
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Summary

Human modified landscapes make up a growing proportion of the tropics, but are relatively little studied. The spatial distribution of remnant vegetation can structure and shape local biodiversity, affecting the provisioning of ecosystem services and regulation of pest problems. We compared species composition, abundance and functional diversity of birds between forest and homegardens close to (0–100 m) and further away from (1,500–2,000 m) moist evergreen Afromontane forests in south-western Ethiopia. We thoroughly inventoried birds with point counts and mist netting in two forest sites and three garden sites of each type. Gardens differed in general species composition from forests, with fewer forest specialist species (7% versus 29% of recorded species), but instead supported many other species that were rarely encountered in the forests. Overall gardens had higher numbers of species than forests. Homegardens close to the forest and further from the forest were similar to each other in terms of species richness and overall species composition. Both garden types had a similar composition in terms of the relative proportion of species with different habitat preferences as well as the composition of species from different feeding guilds. The lack of forest specialists in even the most structurally complex part of the agricultural landscape close to forest edges suggests that the last larger forest remnants are critical for conservation of forest specialists. Nonetheless, homegardens maintain rich bird diversity that also should be considered in a biodiversity conservation context. Further research is needed to establish to what extent the richness and composition of the agro-ecological bird fauna is regulated by the existence of forest patches in the region. Our results could not resolve this question since gardens two kilometers from the forest edge were similar in composition to gardens close to the forest edges.

Type
Research Article
Copyright
Copyright © BirdLife International 2016 

Introduction

Degraded and modified habitats make up a growing proportion of the tropics and it is therefore important to assess their capacity to sustain biodiversity (Gray et al. Reference Gray, Baldauf, Mayhew and Hill2007, Laube et al. Reference Laube, Breitbach and Böhning-Gaese2008, Renwick et al. Reference Renwick, Vickery, Potts, Bolwig, Nalwanga, Pomeroy, Mushabe and Atkinson2014). Alterations in species richness and composition can affect the functional diversity of an ecological community (Gray et al. Reference Gray, Baldauf, Mayhew and Hill2007, Şekercioğlu Reference Şekercioğlu2012a), which in turn could have an effect on ecosystem function and services. Birds play an important role in providing regulatory ecosystem services such as pollination, pest control, seed dispersal and scavenging (Şekercioğlu et al. Reference Şekercioğlu, Wenny and Whelan2016) and specialist birds are more likely to be threatened with extinction (Şekercioğlu Reference Şekercioğlu2011). However, birds can also provide ecosystem “disservices”, with granivores sometimes becoming pests by feeding on cereals (de Mey et al. Reference De Mey, Demont and Diagne2012) and birds of prey on poultry (Dessie and Ogle Reference Dessie and Ogle2001).

Previous studies in the tropics have shown that birds from different feeding guilds respond differently to forest disturbance and conversion (Gray et al. Reference Gray, Baldauf, Mayhew and Hill2007, Tscharntke et al. Reference Tscharntke, Şekercioğlu, Dietsch, Sodhi, Hoehn and Tylianakis2008, Sodhi et al. Reference Sodhi, Şekercioğlu, Robinson and Barlow2011). In general, forest modification and fragmentation result in an increase of granivores and a decline of large frugivores and insectivores (Sodhi et al. Reference Sodhi, Posa, Lee and Warkentin2008, Şekercioğlu Reference Şekercioğlu2012a, Bregman et al. Reference Bregman, Şekercioğlu and Tobias2014). For insectivores, the impact differs among the various sub-guilds (Dale et al. Reference Dale, Mork, Solvang and Plumptre2000) and is most severe for species of the understorey. These are thought to be sensitive to disturbance because of their inability to disperse in a non-forest matrix (Newmark Reference Newmark1991, Şekercioğlu et al. Reference Şekercioğlu, Ehrlich, Daily, Aygen, Goehring and Sandi2002). The effects of habitat disturbance on numbers of omnivores, carnivores and nectarivores are less general and differ among regions (Gray et al. Reference Gray, Baldauf, Mayhew and Hill2007, Şekercioğlu Reference Şekercioğlu2012a). As Africa is understudied in this aspect, similar generalisations cannot be made for this continent (Gray et al. Reference Gray, Baldauf, Mayhew and Hill2007).

In this study, we examine the bird communities of forest and homegardens located in an agricultural landscape in south-western Ethiopia by investigating the compositional changes, focusing on species richness and abundances of birds with different diet and habitat preferences. We compare homegardens close to and 2 km away from forest, in particular, to see whether distance to forest has an effect on bird functional and species diversity. Although bird species composition is primarily determined by vegetation complexity and tree density (Naidoo Reference Naidoo2004, Laube et al. Reference Laube, Breitbach and Böhning-Gaese2008, Douglas et al. Reference Douglas, Nalwanga, Katebaka, Atkinson, Pomeroy, Nkuutu and Vickery2014), proximity to forest has been observed to be an important factor for especially forest-dependent birds (Laube et al. Reference Laube, Breitbach and Böhning-Gaese2008; Sodhi et al. Reference Sodhi, Şekercioğlu, Robinson and Barlow2011). Thus, in order to highlight the effect of distance, we chose homegardens of similar structural complexity. We combined point counts and mist netting to maximize our sampling effort.

Based on previous studies of agroecosystems in Ethiopia (Wilson et al. Reference Wilson, Reid, Stanton and Perry1997, Gove et al. Reference Gove, Hylander, Nemomisa and Shimelis2008, Reference Gove, Hylander, Nemomissa, Shimelis and Enkossa2013) and East Africa (Naidoo Reference Naidoo2004, Mulwa et al. Reference Mulwa, Böhning-Gaese and Schleuning2012), we expect to find two distinct bird communities in forests and homegardens. The abundance and species richness of forest specialists and forest generalists would decline with distance from forest as homegardens closer to forest are more easily colonised or visited by foraging individuals (especially in the dry season; Laube et al. Reference Laube, Breitbach and Böhning-Gaese2008). With regard to bird functional diversity, we hypothesise that with increasing distance from forest, absolute numbers of insectivorous and possibly frugivorous species will decline while granivores will increase (Şekercioğlu Reference Şekercioğlu2012a).

Methods

Study area and sites

The fieldwork took place during February–May 2012 in the countryside between Agaro and Gera, Jimma Zone, south-west Ethiopia (07o45”–07o48”N, 36o17”–36o24”E; 1,850–2,100 m asl). This agricultural landscape is bordered to the north and south by two large forest remnants belonging to the so called Belete-Gera national forest priority area (Figure 1).

Figure 1. Overview map of the study area in south-west Ethiopia. Black – forest sites, dark grey – homegardens close to forest (0–100 m) and white – homegardens further away from forest (1,500–2,000 m). (Google Earth; Image © 2016 CNES/Astrium).

These moist evergreen forests belong to the Eastern Afromontane global biodiversity hotspot. The average annual temperature is 20°C and the annual precipitation ranges from 1,500 to more than 2,000 mm (Friis et al. Reference Friis, Demissew and Breugel2011). Dominant canopy tree species include Pouteria adolfi-friederici, Albizia gummifera, Croton macrostachyus, Syzygium guineense, and Millettia ferruginea (Cheng et al. Reference Cheng, Hiwatashi, Imai, Naito and Numbata1998, Friis et al. Reference Friis, Demissew and Breugel2011). The shrubby understorey is diverse, as are the number of epiphytes and lianas. In 1998, the Belete-Gera forest covered an area of 150,000 ha, but its size is continuously reduced due to agricultural encroachment (Cheng et al. Reference Cheng, Hiwatashi, Imai, Naito and Numbata1998, Hylander et al. Reference Hylander, Nemomissa, Delrue and Enkosa2013). Like most of the forest remnants in Ethiopia (Teketay et al. Reference Teketay, Lemenih, Bekele, Yemshaw, Feleke, Tadesse, Moges, Hundle, Nigussie, Bongers and Tennigkeit2010) and Eastern Africa (Borghesio Reference Borghesio2008), our study forests are also heavily disturbed by human activities such as selective logging, livestock grazing and coffee production (Cheng et al. Reference Cheng, Hiwatashi, Imai, Naito and Numbata1998, Hundera et al. Reference Hundera, Aerts, Fontaine, van Mechelen, Gijbels, Honnay and Muys2013, Hylander et al. Reference Hylander, Nemomissa, Delrue and Enkosa2013). Coffee Coffea arabica is a native species in the forests, but is also widely promoted in the study area and many trees and shrubs of the understory are therefore frequently cleared (Hundera et al. Reference Hundera, Aerts, Fontaine, van Mechelen, Gijbels, Honnay and Muys2013). The more intensively used areas along forest margins and in forest patches are denoted semi-forest coffee or even in some cases semi-plantation coffee (Hundera et al. Reference Hundera, Aerts, Fontaine, van Mechelen, Gijbels, Honnay and Muys2013).

The agricultural landscape is structurally complex and contains shrublands, (wet) grasslands, exotic tree plantations and cultivated areas. The smallholder farmers grow several crops such as teff, maize, sorghum, khat, avocado, banana and ensete (Lemessa et al. Reference Lemessa, Hylander and Hambäck2013). Their live fences consist of natural vegetation and planted species of Euphorbia and Erythrina. Scattered across the landscape are remnant forest trees, which are used for shading coffee and hanging beehives, but there are also introduced trees such as several Eucalyptus spp., which mostly serve as firewood or construction material (Ango et al. Reference Ango, Börjesen, Senbeta and Hyander2014).

Study design and bird surveys

We selected nine sites: three forest sites inside the major forest block, three homegardens close to that forest (0–100 m) and three homegardens further away from that and any other larger forest block (1,500–2,000 m), but had to omit one forest site due to unforeseen circumstances (Figure 1). All eight sites were at least 1,500 m apart. Forest sites were selected to be as undisturbed as possible and at 300–400 m from the edge (see Dale et al. Reference Dale, Mork, Solvang and Plumptre2000). Although there had been some understorey clearing for promoting coffee, our selected sites had many other native trees and shrubs. Since the forest is located on hilly slopes, the selected sites were situated at c.100 m higher elevations than the garden sites. Homegarden sites were typical smallholder farms with several crops and live fences with an area of around 1 ha. Homegardens vary a lot in tree species richness, in the amount of trees and shrubs and in their vertical complexity. Therefore, we chose six sites that were at the complex end of these gradients and as similar to one another as possible. These sites were part of a larger study involving 40 homegardens (Lemessa et al. Reference Lemessa, Hylander and Hambäck2015), so more details on vegetation characteristics can be found there.

Each site was visited six times in total. These visits were equally divided between only mist netting, only point counts or conducting both methods simultaneously. Consequently, the data from each site are based on four mist netting days and four point-count days. Point counts at each site were separated by at least eight days and mist netting was done twice for two consecutive days, with at least a two-week gap.

For mist netting, we used 14 2.5 m-high, 4-shelf nets (12 x 12 m nets and 2 x 9 m nets), for a total of 162 m at each site. The nets were opened every day from 06h00 to 12h00, but had to be occasionally closed during periods of rain, passing cattle, etc. (for a total of 10 h in close gardens, 2.5 h in far gardens and 0 h in forest). Nets were checked every half hour by two people working in opposite directions in order to limit the time spent around the nets. After the birds were extracted, they were identified using Redman et al. (Reference Redman, Stevenson and Fanshawe2011) and banded with numbered metal rings. Biometric and demographic data were collected on age, sex, wing length, tail length, weight, wing moult, body moult and fat score (for Palearctic migrants). Birds that were positively identified but escaped before ringing were included in the data as “unringed”. Recaptured individuals were used only once in the analyses.

Point counts were conducted at four locations in each site, all at least 50 m apart from one another. For homegardens, these places were selected in a way so that the entire garden could be overseen and surveyed. In forests, point count locations were positioned in a more or less square constellation and chosen in such a way that combining these locations enabled us to survey both the understorey and the canopy in every site. Point counts took place between 07h00 and 10h30 and all four locations within a site were visited twice during this period for 20 min each time. Species name, number of individuals and location (tree, bush, ground) were recorded. Birds observed from a point count location that were outside the site area were not counted, but overflying species were included in the count. However, overflying birds were not used in all analyses (see below).

Due to unforeseen problems we had to close the mist nets for one entire day in one of the homegardens close to forest. Despite this, the correction of mist netting data by effort shows that capture rates were highest in close gardens (5.2 captures per 100 m of mist net per hour, compared to 4.4 for far gardens and 0.88 for forest sites).

Bird classification

Observed birds were grouped into six different feeding guilds based on ‘The Birds of Africa volumes I-VII’ (Brown et al. Reference Brown, Urban and Newman1982, Urban et al. Reference Urban, Fry and Keith1986, Reference Urban, Fry and Keith1997, Fry et al. Reference Fry, Keith and Urban1988, Keith et al. Reference Keith, Urban and Fry1992, Fry and Keith Reference Fry and Keith2000, Reference Fry and Keith2004). These guilds are carnivores, frugivores, granivores, insectivores, nectarivores and omnivores (Appendix S1 in the online supplementary material). A species that feeds equally on two or more food sources was considered to be an omnivore. Following Gove et al. (Reference Gove, Hylander, Nemomissa, Shimelis and Enkossa2013 [except the ‘bees’ category]) insectivores were further divided into seven different sub-guilds: aerial foragers, arboreal foliage gleaners, bark gleaners, pouncers, salliers, terrestrial species and understorey foliage gleaners. Definitions of the different insectivorous feeding strategies are described by Gokula and Vijayan (Reference Gokula and Vijayan2000).

Birds were also classified according to habitat preference as forest specialist, forest generalist, forest visitor or species of open country (Appendix S1). This was done primarily by following Bennun et al. (Reference Bennun, Dranzoa and Pomeroy1996), but also ‘The Birds of Africa volumes I-VII’ and BirdLife International (2015). Species not known to occur in forest were categorised as birds of open country.

Data analyses

We omitted all raptors (10 species), swifts (one species), and swallows/martins (four species) from the comparisons between forests and gardens, since these are mostly aerial species that are less detectable in the forest and not obviously associated with the specific site. However, all species were retained in the comparisons between close gardens and those further away.

In order to create one robust dataset that made use of both data from the point counts and mist-netting and at the same time included a ranking from frequent to rare, we defined a measure called “bird record” as follows. For each species observed during a point count, we used the frequency of observation days in one locality (1–4 occasions) as the number of records to be used in the analysis. Species only encountered during mist netting at a locality were counted as one record, since we assume that it was a rarer species than those encountered also by the point count method. It was uncommon to encounter a species several times in mist nets at a site without ever recording it during a point count. This provides support for our scoring system, with the caveat that the occurrence of a few species of skulking understorey species might have been slightly underestimated. Thus, for each locality each species encountered got a value from one to four.

We used Permutational Multivariate Analysis of Variance with the ADONIS-function (with 999 permutations) in the vegan package to analyse the difference in species composition of the habitats (forest versus homegardens and close and far away gardens, respectively) using the data matrix of bird records. The same dataset was used in an Indicator Species Analysis to compare forest and gardens using the package labsdv. In order to compare compositions of habitat preference groups and feeding guilds, we ran a χ2-test based on the combined data of the sites in each habitat. We created species accumulation curves from the pooled data from the two forest sites and the three garden sites of each type, respectively, using the software EstimateS (Colwell Reference Colwell2013). As input data we used the bird record matrix (see above).

The numbers of species belonging to different habitat preference groups were compared between close and far gardens with a generalised linear model with a Poisson distribution (or in case of over-dispersion, quasi-Poisson error structure). A significant interaction between garden type (close or far) and habitat preference group would indicate a difference in certain groups. A similar analysis was run for number of individuals caught in mist nets. The same approach was also followed for comparisons between garden types of species richness and abundances of mist netted birds categorized by feeding guilds. Model assumptions were evaluated by inspecting residual plots. All analyses were executed in R 3.1.1 (R Development Core Team 2014) unless otherwise stated.

Results

Species composition, mist netting and point counts

We recorded a total of 107 species belonging to 38 families at the eight different sites (Appendix S1). Among these were 12 Palearctic migrants, two inter-African migrants and seven species endemic to the Abyssinian Highlands. Four species (all vultures) are globally threatened with extinction (BirdLife International 2015). In total we observed 11 forest specialist species, 20 forest generalists, 57 forest visitors and 19 species of open country. In total we observed 98 bird species during 128 point counts and we caught 1092 birds of 68 species in the mist nets. Point counts were similarly efficient in all sites and recorded between 85% and 91% percent of all observed birds. Mist netting detections, however, were lower in forest sites (34–47 %) compared to both close (68–73 %) and far gardens (64–74 %). Without mist-netting, we would have missed Green Twinspot Mandingoa nitidula and Abyssinian Crimsonwing Cryptospiza salvadorii in the forest, while missing Black-and-white Mannikin Lonchura bicolor, Whinchat Saxicola rubetra, African Hill-babbler Pseudoalcippe abyssinica, Lemon Dove Columba larvata, Green Twinspot, Scaly-throated Honeyguide Indicator variegatus, Greater Honeyguide Indicator indicator, Pin-tailed Whydah Vidua macroura, Eurasian Reed Warbler Acrocephalus scirpaceus, Malachite Kingfisher Alcedo cristata and Common Fiscal Lanius collaris in gardens.

Forests vs. gardens

Forest sites had a significantly different species composition than gardens (ADONIS, P = 0.035), exemplified by a higher relative proportion of forest specialists (29% of the recorded species in the forests versus 7% in gardens) and forest generalists (32% vs. 20%) (Fig 2, [χ 2 (3) = 18.8, P < 0.001]). An indicator species analysis showed that several forest specialists (e.g. Grey Cuckooshrike Coracina caesia, Abyssinian Oriole Oriolus monacha, White-cheeked Turaco Tauraco leucotis) were especially overrepresented in the forest sites, while several species classified as open habitat species, forest visitors and even some forest generalists (e.g. Abyssinian Slaty Flycatcher Melaenornis chocolatinus and Mountain Thrush Turdus abyssinicus) had a significant preference for garden sites (Appendix S1). The forest sites tended to have lower species richness than both garden types, as seen when comparing the species accumulation curves of observations in the three habitats (Fig. 3).

Figure 2. Compositions of bird communities divided into habitat preference groups for homegardens (pooled), forest, close and far gardens (based on combined data for every habitat).

Figure 3. Number of accumulated species as a function of number of species records in the pooled data from forests, homegardens close to forests and homegardens 2 km further away from forests. A record is defined as a presence/absence record of the species during one day of point counting (possible values 0–4 per species). If a species was only observed by ringing, it was given a record number of 1. Pooled data are from the two forest sites and the three sites of each of the homegarden types (See also Methods). Accumulation curves with 95% confidence intervals shown.

Close and far gardens

The species compositions of close and far gardens were similar (ADONIS, P = 0.18), which was also seen when comparing the relative proportion of habitat preference groups (χ 2-test P = 0.75, Fig. 4a). Close and far gardens did not significantly differ in the number of species for any of the habitat preference groups (Figure 4a). Neither was there any significant effect on abundances of mist-netted birds in general or the interaction with habitat preference group (P = 0.18 for the interaction in a glm with quasi-Poisson error structure). However, there was a tendency for more individuals of forest generalists in close gardens (Figure 4c). There were no significant differences in either number of species (Figure 4b) or bird individuals caught in the mist-nets (Figure 4d) between close and far gardens when separated by feeding guilds (no significant effect of garden type or the interaction between garden type and feeding guild in glms with Poisson error terms, P > 0.4). All different sub-guilds of insectivorous species occurred both in close and far gardens and none of the groups seemed to be restricted to forest (Table 1).

Figure 4. Mean number of species (a, b) and individuals caught in the mist nets (c, d) according to their habitat preference group (a, c) and feeding guilds (b, d) for close and far garden sites. Black lines indicate standard error.

Table 1. Number of encountered insectivore species per subguild for forest, close gardens and gardens 2 km from the forest (far gardens), and farmland based on the combined data for each habitat. n = number of sites.

* not included in the general comparison between forests and farmland

Discussion

Our results show three important patterns of the bird communities across the landscape: (1) species richness of forest sites was lower than that of gardens; (2) forest and gardens were characterised by two distinct bird communities; (3) distance to forest (up to 2 km) had no significant effect on the species composition (close and far gardens were surprisingly similar). The first two results agree with those of other studies conducted in agro-ecosystems of East Africa (Naidoo Reference Naidoo2004, Gove et al. Reference Gove, Hylander, Nemomisa and Shimelis2008, Reference Gove, Hylander, Nemomissa, Shimelis and Enkossa2013, Laube et al. Reference Laube, Breitbach and Böhning-Gaese2008, Mulwa et al. Reference Mulwa, Böhning-Gaese and Schleuning2012), but the absence of the effect of distance is interesting, as changes in community composition and a decline of forest specialist species have been attributed to distance from forest (Naidoo Reference Naidoo2004, Gove et al. Reference Gove, Hylander, Nemomisa and Shimelis2008, Laube et al. Reference Laube, Breitbach and Böhning-Gaese2008). Forest specialists disappeared immediately at the forest border, while forest generalists were found across the entire 2-km gradient. With a longer gradient than 2 km, we might have seen a decline also for the forest generalists.

Proportions of forest specialists and generalists were higher in forest, while forest visitors and open country species were proportionally more abundant in farmland. Birds assigned to the latter group were completely absent from forest sites. The sensitivity of forest specialist species to forest disturbance and conversion has been documented extensively (Fjeldså Reference Fjeldså1999, Şekercioğlu Reference Şekercioğlu2002, Naidoo Reference Naidoo2004, Borghesio Reference Borghesio2008, Gove et al. Reference Gove, Hylander, Nemomisa and Shimelis2008, Laube et al. Reference Laube, Breitbach and Böhning-Gaese2008, Mulwa et al. Reference Mulwa, Böhning-Gaese and Schleuning2012, Buechley et al. Reference Buechley, Şekercioğlu, Duguma, Ndungu, Lens, Abdu and Beyene2015). In this study only one forest specialist (out of 11), Olive Sunbird, was seen several times in both close and far gardens, which makes the classification of this species as a forest specialist by Bennun et al. (Reference Bennun, Dranzoa and Pomeroy1996) questionable. The fact that proximity to forest did not seem to affect the presence of forest specialists in gardens could suggest that the vegetation complexity has already decreased to such an extent that distance is not important anymore. For birds in the agricultural landscape, distance might play a bigger role when it involves moving to secondary forests or coffee agroforest sites where tree density and vertical heterogeneity are much higher than in complex gardens (Naidoo Reference Naidoo2004, Buechley et al. Reference Buechley, Şekercioğlu, Duguma, Ndungu, Lens, Abdu and Beyene2015). Forest remnants are important as a species pool for neighbouring regenerating forests (Newmark Reference Newmark1991, Naidoo Reference Naidoo2004, Aerts et al. Reference Aerts, Lerouge, November, Lens, Hermy and Muys2008, Mulwa et al. Reference Mulwa, Böhning-Gaese and Schleuning2012). In contrast, heterogeneous farmland, despite hosting a large number of species, seems unable to support forest specialists (even as visitors) and will thus not offset forest loss (see also Naidoo Reference Naidoo2004, Laube et al. Reference Laube, Breitbach and Böhning-Gaese2008, Hulme et al. Reference Hulme, Vickery, Green, Phalan, Chamberlain, Pomeroy, Nalwanga, Mushabe, Katebaka, Bolwig and Atkinson2013, Buechley et al. Reference Buechley, Şekercioğlu, Duguma, Ndungu, Lens, Abdu and Beyene2015).

On the contrary, forest generalists were seen regularly in the agricultural landscape. However, observations of forest-dependent species in farmland may not indicate the actual suitability of agricultural habitats to sustain these species in the absence of surrounding forest (Naidoo Reference Naidoo2004). Some species observed in the farmland may be travelling between forest remnants or could consist of declining sink populations that can only be identified through long-term demographic studies. Also, if the study had taken place during the breeding season, fewer forest generalists might have been observed in the homegardens (Bennun et al. Reference Bennun, Dranzoa and Pomeroy1996). Gove et al. (Reference Gove, Hylander, Nemomisa and Shimelis2008) observed birds during the wet season in a similar landscape in Ethiopia and did indeed find more forest generalists in the forest than in the agricultural landscape.

What is clear from our results is that the feeding guild composition did not change with distance from forest over these rather short distances (2 km). Both garden types hold very similar number of species and abundances of each of the individual feeding guilds (Figures. 4b, 4d) and it could be argued that distance to forest does not affect the provisioning of ecosystem (dis)services by birds in this landscape. Even when insectivores were divided into sub-guilds, it seems like their occurrence pattern is uniform between the close gardens and those further away. Interestingly however, each of the sub-guilds was represented by a higher number of species in farmland than in forest (Table 1). This is surprising since many previous studies from other areas highlight the negative impact on insectivorous birds - terrestrial and understorey gleaners in particular - caused by forest disturbance (Fjeldså Reference Fjeldså1999, Dale et al. Reference Dale, Mork, Solvang and Plumptre2000, Şekercioğlu Reference Şekercioğlu2002, Borghesio Reference Borghesio2008), fragmentation (Bregman et al. Reference Bregman, Şekercioğlu and Tobias2014) and conversion to farmland (Waltert et al. Reference Waltert, Bobo, Sainge, Fermon and Mühlenberg2005, Mulwa et al. Reference Mulwa, Böhning-Gaese and Schleuning2012). However, our results with many insectivores in the tree-rich agricultural landscape are in line with previous findings in Ethiopia (Gove et al. Reference Gove, Hylander, Nemomissa, Shimelis and Enkossa2013, Buechley et al. Reference Buechley, Şekercioğlu, Duguma, Ndungu, Lens, Abdu and Beyene2015) and could possibly be explained by the impoverished forest avifauna of Ethiopia compared to other Afromontane regions (lacking understorey genera such as Illadopsis, Sheppardia and Neocossyphus, and other typical forest insectivores, like members of the greenbul family and the genus Apalis) as a result of extinctions linked to climatic changes in the past (Moreau Reference Moreau1966). With global climate once again threating tropical bird communities worldwide (Wormworth and Şekercioğlu Reference Wormworth and Şekercioğlu2011), in this traditional landscape where native coffee plants are often grown under the shade of native forest trees, it is essential to maintain and promote this biodiversity-friendly agriculture in order to connect native forest remnants surrounded by a growing agricultural matrix.

Previous studies have also shown that forest specialist frugivores especially decline with distance from forest (Laube et al. Reference Laube, Breitbach and Böhning-Gaese2008) and forest disturbance (Borghesio Reference Borghesio2008, Kirika et al. Reference Kirika, Farwig and Böhning-Gaese2008). Of the nine frugivorous species observed in this study, the majority were forest-dependent (four forest specialist and three generalist species) and had a tendency to occur more frequently in forests than in gardens (Appendix S1). However, there was no significant difference in guild composition between gardens close to and 2 km away from forests. Although some other fruit-eating birds (e.g. barbets, tinkerbirds, thrushes) were classified as omnivores in this study, their services in terms of fruit removal are unlikely to replace those of forest specialists (Kirika et al. Reference Kirika, Farwig and Böhning-Gaese2008). Frugivorous birds play an important role in seed dispersal and subsequent habitat regeneration (Şekercioğlu Reference Şekercioğlu, del Hoyo, Elliot and Christie2006, Şekercioğlu et al. Reference Şekercioğlu, Wenny and Whelan2016). A decline in their overall numbers, and in forest specialist frugivores in particular, could have serious negative impacts on future forest recovery. Even though there are other frugivorous animals besides birds and the distribution of frugivorous birds across the landscape can be affected by several other factors, such as season (Mulwa et al. Reference Mulwa, Neuschulz, Böhning-Gaese and Schleuning2013) and fruiting tree distribution (Laube et al. Reference Laube, Breitbach and Böhning-Gaese2008), our observations of seed-dispersing frugivorous birds have important implications for a country with little natural forest left (Teketay et al. Reference Teketay, Lemenih, Bekele, Yemshaw, Feleke, Tadesse, Moges, Hundle, Nigussie, Bongers and Tennigkeit2010).

Our results supported point counts as the preferred method because its success was equal among habitats and it detected over 84% of all observed species at every site. Especially in forest, this method was significantly more productive, as also noted by other studies in the tropics (Whitman et al. Reference Whitman, Hagan and Brokaw1997, Blake and Loiselle Reference Blake and Loiselle2001). However, mist netting did add unique species to each site and it can thus be argued that a combination of both methods is the best approach when there is enough time and available labour (Whitman et al. Reference Whitman, Hagan and Brokaw1997) to detect the widest range of species (Dunn and Ralph Reference Dunn and Ralph2004, Şekercioğlu Reference Şekercioğlu2012b). For example, without mist- netting we would have missed two of the most abundant forest specialists (sensu Buechley et al. Reference Buechley, Şekercioğlu, Duguma, Ndungu, Lens, Abdu and Beyene2015), Green Twinspot and Abyssinian Crimsonwing. Mist-netting is also essential for marking individual birds with numbered bands and for conducting capture-mark-recapture analyses of population dynamics (Şekercioğlu Reference Şekercioğlu2012b).

Conclusion

Our study confirms that complex agricultural landscapes can have higher species diversity than forests. This seems to be the rule rather than the exception for montane regions of Eastern Africa (Naidoo Reference Naidoo2004, Laube et al. Reference Laube, Breitbach and Böhning-Gaese2008, Gove et al. Reference Gove, Hylander, Nemomisa and Shimelis2008, Buechley et al. Reference Buechley, Şekercioğlu, Duguma, Ndungu, Lens, Abdu and Beyene2015). Yet, in Ethiopia this difference is perhaps more striking because of a hypothesised impoverished state of the forest bird community (Moreau Reference Moreau1966, Gove et al. Reference Gove, Hylander, Nemomissa, Shimelis and Enkossa2013). The majority of threatened and range-restricted tropical bird species are tropical forest specialists that do not occur in agricultural landscapes (Şekercioğlu Reference Şekercioğlu2012a). Consequently, when assessing the value of tropical agricultural landscapes for biodiversity, it is essential to go beyond the superficial measure of overall species richness and separately compare different species groups based on forest dependence, conservation status, global distribution, diet, and other ecological characteristics. However, the high avian diversity of Ethiopian farmland underlines the importance of incorporating complex agroecosystems into conservation policies (Gove et al. Reference Gove, Hylander, Nemomissa, Shimelis and Enkossa2013). As close and far gardens did not differ much in bird functional diversity, it seems that farmers living in complex gardens as far as 2,000 m from forest do not experience a different subset of ecosystem services and disservices. However, to what extent reduction in structural heterogeneity at garden level or landscape level influences bird richness and functional diversity deserves more attention since we do not know to what extent the bird fauna in these sites are dependent on the presence (or proximity) of forests in the landscape (cf. Gove et al. Reference Gove, Hylander, Nemomissa, Shimelis and Enkossa2013). Finally, this study shows that point counts are the preferred method when comparing species diversity in habitats that are so different, but abundance, demographic and other hands-on data derived from mist netting can reveal additional patterns, which ultimately helps to better assess the bird community and conservation value of an area (e.g. Buechley et al. Reference Buechley, Şekercioğlu, Duguma, Ndungu, Lens, Abdu and Beyene2015).

Supplementary Material

To view supplementary material for this article, please visit https://doi.org/10.1017/S0959270916000162

Acknowledgements

We thank the farmers for their hospitality and permitting us to work on their lands. Further thanks go out to driver Belema (R.I.P.), licensed bird bander Ian Lees and field assistants Imam and Kalifa Ali for their help in the field. Thanks also to Sileshi Nemomissa for much support. We are grateful to the Ethiopian Wildlife and Natural History Society and Ethiopian Wildlife Conservation Authority for their assistance. We also thank Evan Buechley for his comments on a previous version of the manuscript. This study was supported by grants from the Swedish International Development Cooperation Agency (SIDA) and Formas [to DE and KH].

Footnotes

4 Present address: Fransestraat 1, 6524 HP Nijmegen, The Netherlands.
5 Present address: Ethiopian Biodiversity Institute, P.O. Box 30726, Addis Ababa, Ethiopia.

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Figure 0

Figure 1. Overview map of the study area in south-west Ethiopia. Black – forest sites, dark grey – homegardens close to forest (0–100 m) and white – homegardens further away from forest (1,500–2,000 m). (Google Earth; Image © 2016 CNES/Astrium).

Figure 1

Figure 2. Compositions of bird communities divided into habitat preference groups for homegardens (pooled), forest, close and far gardens (based on combined data for every habitat).

Figure 2

Figure 3. Number of accumulated species as a function of number of species records in the pooled data from forests, homegardens close to forests and homegardens 2 km further away from forests. A record is defined as a presence/absence record of the species during one day of point counting (possible values 0–4 per species). If a species was only observed by ringing, it was given a record number of 1. Pooled data are from the two forest sites and the three sites of each of the homegarden types (See also Methods). Accumulation curves with 95% confidence intervals shown.

Figure 3

Figure 4. Mean number of species (a, b) and individuals caught in the mist nets (c, d) according to their habitat preference group (a, c) and feeding guilds (b, d) for close and far garden sites. Black lines indicate standard error.

Figure 4

Table 1. Number of encountered insectivore species per subguild for forest, close gardens and gardens 2 km from the forest (far gardens), and farmland based on the combined data for each habitat. n = number of sites.

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