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15 September 2008 Forest patch structures and bird species composition of a lowland riverine coastal forest in Kenya
Alfred O. Owino, George Amutete, Ronald. K. Mulwa, Joseph O. Oyugi
Author Affiliations +
Abstract

The Lower Tana River forests in coastal Kenya represent lowland evergreen riverine tropical forest types that are rare in Kenya and probably in Africa. We assessed the bird species composition and forest conditions of 14 forest patches within the Lower Tana River valley each February and October between 1999 and 2004. Vegetation structures showed variations of different strengths in individual forest patches, but only canopy height differed significantly across sites. Overall, canopy cover was correlated directly with canopy height but inversely with bare ground. A total of 155 bird species of 43 families comprising 9 forest specialists (FF), 27 forest generalists (F), 42 forest visitors (f) and 77 species associated with savannah/woodland ecosystems were recorded from the 14 forest patches. The overall bird species composition did not differ significantly across these forest patches, but similarities in species composition of different strengths were evident across the sites.

Introduction

The conservation of forests is a major challenge in developing countries because of high dependence on forest resources for livelihood [1]. Given the rapid population growth and ensuing increased demands for forest resources, this trend is likely to continue in tropical regions [2, 3]. Birds have often been used as “bio-indicators” of forest conditions [4, 5]. Many forest-dependent birds have been shown to be detrimentally affected by forest loss and degradation, and cases of species extinction have been reported when forest fragments are either too small or too degraded to support viable populations [6, 7, 8]. Although certain degraded forests have been shown to sustain subsets of primary forest avifauna, tropical birds are generally less resilient to habitat disturbance due to their high habitat specificity compared to their temperate counterparts [9, 10]. Due to this characteristic, there is need for considerable efforts to conserve the remaining natural and intact tropical forests to reduce threats to forest-dependent species.

A number of studies have examined how forest loss and fragmentation affect birds in Africa [2, 4, 11, 12, 13, 14, 15, 16, 17]. The Lower Tana River forests in coastal Kenya are unique in many ways. They represent lowland evergreen riverine tropical forest types which are rare in Kenya and probably in Africa, and whose importance for biodiversity has long been recognized [18, 19]. Over the years, these forests have experienced considerable demographic pressures. Generally, their use has been unsustainable, with burning, pole cutting, and felling of large trees for building canoes being of particular concern [18]. In addition, the forests are surrounded by agricultural and grazing lands—a trend toward forest conversion that has proceeded at an alarming rate in recent years [19]. Given the current human growth trends in Kenya's Lower Tana River area, the demand for forest products will increase tremendously in the future [18].

Although the Lower Tana River forests are listed among the key forests for bird conservation in Africa and as an Important Bird Area (IBA) in Kenya [20], their avifauna is poorly known. Apart from general surveys in the 1970s [21], there is little ornithological information. As a step toward a better understanding of the avifauna of the Lower Tana River forests, we carried out focused ornithological surveys of the forest patches located within the Tana River Primate National Reserve. Although the forest patches within the Reserve are legally protected, they continue to experience human pressures like other patches located outside the Reserve.

In this paper we focused on assessment of forest structures and bird species composition, and based our analyses on 14 forest patches within the Reserve with the view of assessing their conservation values for birds.

Methods

Study area

The Tana River National Primate Reserve (1°55'S, 40°5'E) covers an area of about 171 km2 within the Lower Tana River forest system [18]. The Reserve (Fig. 1) was gazetted in 1976 to protect the riverine forests and two highly endangered primates; the Tana River red colobus Colobus badius rufomitratus and Tana River mangabey Cercocebus galeritus galeritus [18, 22]. Annual precipitation is about 250mm/year, and this increases downstream to about 1000mm/year over the Tana River Delta [23]. The forests within the Reserve occur in patches in the riparian zone extending for about 16 km along the meandering course of the Tana River. Of the 71 forest patches within the Lower Tana River forest system, 23 covering about 1527 ha fall within the Reserve [19]. We focused on 14 of these patches in our surveys (Table 1). Although these patches show fairly continuous stands, their separation distances are evident from ground observations. Most patches have separation distances of approximately 100 m consisting of regenerating vegetation following clearance by surrounding communities.

The Reserve's flora is quite diverse and comprises a complex mix of pan-African species of western and central African rainforest species and eastern and coastal forest endemic species, with at least 10 rare woody plant species [24]. Characteristic trees across the patches include Ficus spp., Phoenix reclinata, Acacia robusta, Diospyros mespiliformis [25]. These species form a mosaic of habitats comprising grasslands, bushlands, and deciduous woodlands along the banks of the Tana River.

Fig.1.

The forest patches and surrounding land covers at Tana River Primate National Reserve Lower Tana River forest system, Kenya

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Bird surveys

In each of the 14 forest patches, we conducted bird surveys by a combination of mist netting and timed species counts [26]. Ten mist nets (3 × 12 m, 36 mm mesh) were placed haphazardly in the understorey along cleared narrow trails. The nets were placed at intervals of about 30 meters. These surveys were conducted every February and October from 1999 to 2004, coinciding with the dry and wet seasons in the area. Four days of mist netting were conducted in each patch with nets operated between 06:30h and 11:00h (an average of 10 mist-netting hours per patch). Recaptures from mist-netting sessions were excluded from the analyses. Following [27], timed species counts (TSCs) were conducted simultaneously with mist netting, and attempts were made to cover more than 50% of each patch. Every time a bird species was detected, we recorded time, together with an indication of whether the detection was by sight or sound, and if it was within a distance of 25 m and above 3 m from the ground. The distance was chosen since few birds could be detected beyond 30 m because of the density of vegetation. Detected species were scored according to when first recorded (four if in the first 10 minutes, three if in the next 10 minutes, and so on). A total of 12 counting sessions, each lasting 40 minutes (an average of 7−8 hours), was done in each patch.

Forests patch structures surveys>

We conducted vegetation surveys to determine structural characteristics of each patch. This involved estimation of habitat complexity following Braun-Blanquet scales of visual estimation of cover [28]. We walked in haphazardly selected directions through the forests and marked 40 points at intervals of 10 m. At each point, canopy height was estimated to the nearest 1 m of the vegetation height range, 4−20 m. Canopy cover was estimated to the nearest 5/10% for the same height range. Shrub density was estimated using a square checkered board of 40 × 40 cm divided into 8times8 cm black and white squares. Researchers counted the number of squares visible at a vegetation height range of 1−2 m within a fixed radius of 5 m north and south of the observer standing at each of the 40 points. This was a modification of the half-sight measurement technique [see 11]. Two plots measuring 1times1 m were also established at each point and the percentage of herb, litter cover, and open areas was estimated visually. Other vegetation variables such as plant species present were also recorded.

Table 1.

Bird species richness and the forest structural features in 14 patches in the Tana River Primate National Reserve, Kenya.

10.1177_194008290800100306-table1.tif

Statistical analyses

All statistical analyses were done using STATISTICA 7.0 [29]. Vegetation measures over the 40 points were averaged for each forest patch and percentages arcsine-transformed for normality before analysis [30]. A two-way analysis of variance followed by Student Newman-Keuls multiple range tests were used to assess structural differences among the 14 forest patches. Standard stepwise multiple regression analyses were used to assess the relationships between the vegetation variables across sites and how they were correlated. The number of bird species recorded from each patch through mist-netting and timed species counts was compiled and forest bird categories defined following Bennun et al. [31]: “FF species” (forest specialists) are true forest birds, characteristic of the interior of the undisturbed forest; “F species” (forest generalists) may occur in undisturbed forest but are also regularly found in forest strips, edges and gaps; “f species” (forest visitors) are birds which are often recorded in forests but are not dependent upon it; “s species” are birds associated with savannah/woodlands areas and are not dependent on forests. We tested for statistical differences in overall species richness and of individual forest bird categories across the 14 patches using ANOVA [32]. The patches (most separated by approximate distances of about 100m) were treated as independent sampling units. Similarities in species composition between each pair of forests were assessed using Jaccard's similarity index of range 0 (dissimilar) to 1 (identical) [23]: Sj = α/α+β+Δ; where α = joint occurrence species in patch A and B; β = number of species in patch B but not in A; Δ = number of species in patch A but not in B. Patches with Sj > 0.6 indicated higher level of similarity and vice versa. The numbers of individual understory species ringed per forest were compiled and analysis of variance used to compare ringing totals across patches. The scores of individual canopy/mid-level species detected from the TSCs were averaged over all counts per patch to give simple relative abundance indices that were ranked for each patch. We adopted a two-step procedure to determine how bird species richness was influenced by patch structure variables. First, we evaluated the relationship between overall species richness and patch characteristics using multiple stepwise regression models (forward selection procedure). Second, we investigated the effects of patch characteristics on the presence/absence of individual forest specialist birds (FF) pooled for each patch across the 14 patches.

Table 2.

Pair-wise Jaccard's similarity indices of the bird species composition for the 14 patches in the Tana River Primate National Reserve, Kenya

10.1177_194008290800100306-table2.tif

Results

Bird species composition

A total of 155 species of 43 families was recorded from the 14 patches. These comprised 9 species categorized as forest specialists (FF), 27 forest generalists (F), 42 forest visitors (f) and 77 species associated with savannah/woodland ecosystems (see Appendix 1). Makere East (81) and Sifa East (81) had the highest numbers of species. Mnazini North (33) had the fewest species (Table 1). The overall species composition did not differ significantly across the 14 patches (F = 4.01, p = 0.06). Wenje East/Central, Makere East and Sifa East had the highest numbers of forest-specialist birds, with FF of 7, 7 and 8, respectively. Similarities in species composition of different levels among the 14 patches were evident (Table 2). Makere East/Wenje (Sj = 0.74), Sifa East/Mchelelo East (Sj = 0.74) and Mchelelo East/Wenje East/Central (Sj = 0.68) had higher levels of similarities in bird species composition. Among the species categories, only savannah/woodland species differed significantly across sites (F = 7.62, p = 0.02). Differences in other groups across the patches were not significant.

Forty under-storey species comprising 386 individuals were ringed in the 14 patches. Forest specialists (FF) and forest generalists (F) formed the bulk of individuals ringed (Appendix 2). Higher ringing records were from Mchelelo Complex (83) and Maroni East (38). Olive sunbird Nectarinia olivacea (forest specialist), red-capped robin-chat Cossypha natalensis (forest generalist) and Fischer's greenbul Phyllastrephus fischeri (forest specialist) formed the bulk of individual species captured across the patches with 70, 68, and 34 individuals respectively. Tropical boubou Laniarius aethiopicus (forest visitor) ranked highest in relative abundance in most patches (see Appendix 3).

Forest patch structures

Canopy heights differed significantly across the sites (F-test = 8.56, p < 0.01, df = 12). Baomo South had the highest mean canopy height, 30 $pL 21.3 (mean $pL S.D.) of the 14 patches (Table 1). Other vegetation variables showed variations in individual patches, but these did not differ significantly across the patches. Overall, canopy cover was directly correlated with canopy height (Pearson r = 0.56, p = 0.04) but inversely correlated with bare ground (Pearson r = −0.57, p = 0.03). The percentage of bare ground was directly correlated with the percentage of shrub density (Pearson r = 0.64, p = 0.01) but inversely correlated with percentage of litter cover (Pearson r = −0.74, p = 0.002) across the patches.

Fig. 2.

Linear regression analyses for overall species richness and forest-dependent species with the forest patch sizes at the Tana River Primate National Reserve, Kenya.

10.1177_194008290800100306-fig2.tif

Forest patch structural features and bird species composition

There was an overall positive relationship between overall bird species richness, forest-dependent bird species with the overall forest patch sizes (Fig. 2). In particular, patch sizes significantly influenced the numbers of forest-dependent birds (p < 0.04). Other bird categories showed associations of different strengths but these were not significant. Individual patch structural features showed that canopy cover played a major role in the species richness and the numbers of forest-dependent species (Fig. 3). Other structural variables showed no significant associations with either species richness or richness of individual forest bird categories.

Figure 3.

Linear regression analyses for overall species richness and forest-dependent species with the percentage canopy cover at the Tana River Primate National Reserve, Kenya

10.1177_194008290800100306-fig3.tif

The assessment of the presence/absence of individual forest specialists (FF) based on the vegetation variables of canopy cover, shrub density, and open areas showed that the presence of Fischer's greenbul Phyllastrephus fischeri, black-headed apalis Apalis melanocephala, and olive sunbird Nectarinia olivacea was influenced significantly by a combination of these vegetation variables (Table 3).

Discussion

Our results show that overall species composition did not differ significantly across the 14 patches surveyed, and similarities of different levels among the patches were common. This could suggest that most forest patches still have suitable habitats that ensure availability of food, nesting sites, and protective cover for the species but are still vulnerable to persistent encroachment evident around them. In the long term this could jeopardize the ability to sustain particular bird species, especially forest-dependent bird categories. In addition, results from this study suggest that individual species responded differentially to changes in the forest conditions brought about by increasing changes and encroachment. Generally, the proportion of forest-dependent species and individuals was lower than in many Kenyan forests [33]. This is not surprising, given that these forest patches are surrounded by non-forest habitats indicating forest disturbance. The observed differing distribution with some species occurring in only some patches and not in others could suggest the sensitivity of those species to particular structural changes. This observation may be linked to the requirements of individual bird species.

Table 3.

Logistic regression models for multiple forest structure variables of canopy cover, shrub density, and open areas with the nine forest-dependent species (FF) across the 14 forests fragments of the Tana River Primate National Reserve. Dependent variable (species) = logit of probability of occurrence along a gradient of habitat variables.

10.1177_194008290800100306-table3.tif

The vegetation measures suggested that all forests patches were experiencing different levels of human disturbance. Vegetation parameters measured from the various patches indicate much variability, especially in canopy height and cover. Generally, it can be shown that a few forest patches are in better condition than others. Baomo South, Guru North, Sifa East, Makere, Mnazini North, and Mchelelo Complex had characteristics of fairly good habitats judging from their high values of canopy height and percentage canopy cover. These also had a high abundance of forest-dependent species as would be expected. Some patches, such as Kipendi and Maroni, hosted fewer forest-dependent species, but this may not necessarily mean that they have lost their potential conservation importance. As observed elsewhere [33, 34], vegetation data are usually “noisy”, and the occurrence of some species in forests of apparently different habitat conditions may complicate the search for general patterns. However, the relative abundance at which forest-dependent species occurred in the various patches could provide a means to assess the habitat quality of each patch.

Generally loss and fragmentation of natural habitat rank among the most severe threats to biodiversity worldwide, with tropical forests being degraded and destroyed more rapidly due to human activities [35, 36, 37]. For forest-dependent organisms, such habitat changes represent significant threats to ecosystem sustainability, and have direct implications on the quality of habitats on which the forests depend [38, 39]. Ground observations during our study showed that human influences (encroachment, mid-forest farming, fires, and tree cutting) were dominant especially around two patches (Wenje East/Central and Baomo South) that had high densities of human settlements. However, all patches surveyed supported a moderately rich avifauna that is characteristic of coastal forests [18]. But these bird assemblages could be threatened by deforestation and degradation unless urgent conservation measures are undertaken.

The continued forest loss and degradation in the Lower Tana River of coastal Kenya presents a conservation challenge. These forest patches are individually too small to support viable populations of bird species, and there are presumably considerable bird movements between them. The continued reduction in patch sizes will affect the ecological requirements for forest-dependent birds, and create habitats for generalists, and possibly predator species in and around the patches. Some of the bird species recorded during the study, including the southern banded snake eagle Circaetus fasciolatus, Fischer's turaco Tauraco fischeri, and the East Coast akalat Sheppardia gunningi, are listed as globally threatened [20], and could face severe impacts on their long-term survival if conservation action for the forest patches is not fast-tracked accordingly. It was evident that these species are still found in some forest patches in the area. Reduced breeding success of forest-dependent birds is likely as suitable habitats diminish. It is therefore important that a large set of more-or-less interconnected patches be maintained within the Lower Tana River Forests and within the Reserve in particular.

Fig. 4.

Photos of some bird species recorded from the Tana River Primate National Reserve. (a) Lilac-breasted roller Coracias caudate (Photo by: Ornithology Section, National Museums of Kenya); (b) Grey-headed kingfisher Halcyon leucocephala (Photo by: Ornithology Section, National Museums of Kenya); (c) African paradise flycatcher Terpsiphone viridis (Photo by: Ornithology Section, National Museums of Kenya; (d) Narina's trogon Apaloderma narina (Photo by: Ornithology Section, National Museums of Kenya).

10.1177_194008290800100306-fig4.tif

Implications for conservation

This study provides baseline information, and supplements the required information necessary for conservation actions using birds as key taxa in the Lower Tana River Forests. Given that bird species vary greatly in their sensitivity to habitat disturbance, it would be more effective to use the numbers of sensitive species, especially forest specialists, rather than total species richness in the evaluation of conservation values of forest patches on the area. This is due to the fact that loss of sensitive species may be masked in the total species richness by invasion of species adapted to relatively disturbed patches. As observed in this study, these could include species associated with the savannah/woodland areas. Particular forest patches had higher forest-dependent species, indicating that some patches still have pristine patches that require adequate protection and conservation measures to avoid further degradation. For example, considerable changes in intact forest and other land covers occurred at the Tana River Primate National Reserve between 1994 and 2004. The total forest proportion decreased from 0.69 to 0.57 over the period with estimated linear annual rate of loss of forest of 22.3 ha (Owino, Unpublished data).

The patches within the Reserve are also a home to the Pokomo people, who farm the river banks. Generally the forest use and biodiversity within including birds is thought to be unsustainable despite the protection status as a reserve. The forest patches are exploited by the local people mainly for fuel wood, timber and traditional medicines. Some of the trees targeted for exploitation could be important to bird species. Unsustainable hunting of birds for subsistence has also been reported in the past, but these have not been adequately documented. However, with the increase in human population within the Reserve and the surrounding areas, there is likelihood that further risks of unsustainable use practices is eminent, and is a factor that can not be ignored.

The protection status of all Lower Tana River forest especially those patches within the Reserve need to be improved. Following the unsuccessful major World Bank GEF-funded project, which began in 1997 and was suspended, the urgency for conservation and protection of the Reserve has become very important. The GEF-funded project aimed at among and a other things the relocation programme of the local people living within the Tana River Primate Reserve to create a better opportunity for enhanced protection of the Reserve. Due to challenges and resistance from the local people to the GEF-Project, there is a need for concerted efforts focusing on habitat monitoring programmes within the Reserve. This should involve working closely with the local people living within the Reserve. Further, it is particularly important to document the effects on birds of selective logging of particular tree species within the Reserve. This would be important in developing guidelines for programs to restore the degraded areas with appropriate tree species that can enhance bird species richness and other fauna in the area.

Acknowledgments

We thank the Tana River Primate National Reserve for financial support of this study and the Kenya Wildlife Service for logistical assistance during the study. We also thank all field assistants who participated in the field data collection.

References

1.

Fernández-Juricic, E., 2004. Spatial and temporal analysis of the distribution of forest specialists in an urban-fragmented landscape (Madrid, Spain): implications for the local and regional bird conservation. Landscape and Urban Planning 69: 17–32. Google Scholar

2.

Beier, P., Drielen, M.V., and Kankam, B.O., 2002. Avifaunal collapse in West African forest fragments. Conservation Biology 16: 1097–1111. Google Scholar

3.

Sodhi, N.S., Koh, L.P., Prawiradilaga, D.T., Putra, D.D., and Tan, T.H.T., 2005. Land use and conservation value for forest birds in central Sulawesi (Indonesia). Biological Conservation 122: 547–558. Google Scholar

4.

Dale, S., Mork, K., Solvang, R., and Plumptre, A.J., 2000. Edge effects on the understorey bird community in a logged forest in Uganda. Conservation Biology 14: 265–276. Google Scholar

5.

Turner, I.M., 1996. Species loss in fragments of tropical rain forest: a review of evidence. Journal of Applied Ecology 33: 200–209. Google Scholar

6.

Renjifo, L.M., 1999. Composition changes in subandean avifauna after long-term forest fragmentation. Conservation Biology 13: 1124–1139. Google Scholar

7.

Watson, J.E.M., Whittaker, R.J., and Dawson, T.P., 2004. Habitat structure and proximity to forest edge affect the abundance and distribution of forest dependent birds in tropical coastal forests of southeastern Madagascar. Biological Conservation 120: 311–327. Google Scholar

8.

Wright, S. J., and Muller-Landau, H. C., 2006The Future of Tropical Forest Species. Biotropica 38: 287–301. Google Scholar

9.

Marsden, S.J., 1998. Changes in bird abundance following selective logging in Seram, Indonesia. Conservation Biology 12: 605–611. Google Scholar

10.

Tellería, J.L., and Santos, T., 1997. Seasonal and interannual occupation of a forest archipelago by insectivorous passerines. Oikos 78: 239–248. Google Scholar

11.

Brooks, T.M., Pimm, S.L., and Oyugi, J.O., 1999. Time lag between deforestation and bird extinction in tropical forest fragments. Conservation Biology 13: 1140–1150. Google Scholar

12.

Cordeiro, N.J., and Howe, H.F., 2003. Forest fragmentation severs mutualism between seed dispersers and an endemic African tree. PNAS 100: 14052–14056. Google Scholar

13.

Githiru, M., and Lens, L., 2004. Using scientific evidence to guide the conservation of a highly fragmented and threatened Afrotrpical forest. Oryx 38: 404–409. Google Scholar

14.

Githiru, M., and Lens, L., 2006. Demography of an Afrotropical passerine in a highly fragmented and threatened forest landscape. Animal Conservation 9: 21–27. Google Scholar

15.

Githiru, M., Lens, L., Bennun, L.A., and Matthysen, E., 2007. Can a common bird species be used as a surrogate to draw insights for the conservation of a rare species? A case study from the fragmented Taita Hills, Kenya. Oryx 41: 239–246. Google Scholar

16.

Lawton, J.H., Bignell, D.E., Bolton, B., Bloemers, G.F., Eggleton, P., Hammond, P.M., Hodda, M., Holt, R.D., Larsen, T.B., Mawdsley, N.A., Stork, N.E., Srivastava, D.S., and Watt, A.D., 1998. Biodiversity inventories, indicator taxa and effects of habitat modification in tropical forest. Nature 391: 72–76. Google Scholar

17.

Lens, L., Van Dongen, S., Norris, K., Githiru, M., and Matthysen, E., 2002. Avian persistence in fragmented rainforest. Science 298: 1236–1238. Google Scholar

18.

Bennun, L.A., and Njoroge, P., 1999. Important Bird Areas in Kenya. East Africa Natural History Society, Nairobi. Google Scholar

19.

Wahungu, G.M., Muoria, P.K., Moinde, N.N., Oguge, N.O., and Kirathe, J.N., 2005. Changes in forest fragment sizes and primate population trends along the River Tana floodplain, Kenya. African Journal of Ecology 43: 81–90. Google Scholar

20.

BirdLife International 2004. Threatened Birds of the World (CD-ROM). BirdLife International, Cambridge. Google Scholar

21.

Andrews, P., Groves, C. P., and Horne, J.F.M., 1975. The ecology of the Lower Tana River floodplain (Kenya). Journal of East Africa Natural History 151: 1–31. Google Scholar

22.

Butynski, T.M., and Mwangi, G., 1995. Census of Kenya's endangered Red Columbus and Crested Mangabey. African Primates 1: 8–10. Google Scholar

23.

Hughes, R.H., and Hughes, J.S., 1992. Directory of African Wetlands. World Conservation Union (IUCN). Gland Switzerland. Google Scholar

24.

Medley, K.E., 1993. Primate conservation along the Tana River, Kenya: an examination of forest habitat. Conservation Biology 7: 109–121. Google Scholar

25.

Robertson, S.A., and Luke, W.R.Q., 1993. Kenya Coastal Forests. The report of the NMK/WWF coast forest survey. World Wide Fund for Nature, Nairobi. Google Scholar

26.

Bibby, C.J., Burgess, N.D., and Hill, D.A., 2000. Bird Census Techniques. Academic Press, London. Google Scholar

27.

Bennun, L.A., and Waiyaki, E., 1993. Using Timed Species-Counts to compare avifauna in the Mau Forests, southwest Kenya. Proceedings of the VIII Pan-African Ornithological Congress, 333. Google Scholar

28.

Bullock, J., 2002. Plants. In: Sutherland, W.J., (ed), Ecological Census Techniques: A handbook. Cambridge University Press, Cambridge, U.K, Pp. 221–247. Google Scholar

29.

StatSoft, 2005. STATISTICA 7.0. Tulsa, StatSoft, U.S.A. Google Scholar

30.

Krebs, C.J., 1994. Ecological Methodology. Addison-Wesley Educational Publishers, California. Google Scholar

31.

Bennun, L., Dranzoa, C., and Pomeroy, D., 1996. The forest birds of Kenya and Uganda. Journal of East Africa Natural History 85: 23–48. Google Scholar

32.

Zar, J.H., 1999. Biostatistical Analysis. Third Edition. Prentice-Hall, Englewood Cliffs, NJ. Google Scholar

33.

Fanshawe, J.F., and Bennun, L.A., 1991. Bird conservation in Kenya: creating a national strategy. Bird Conservation International 1: 293–315. Google Scholar

34.

Nemeth, E., 1996. Distribution, habitat selection and behaviour of the East Coast Akalat Sheppardia gunningi. Konrad Lorenz Institute, Vienna, Austria: Report for project no.5443 for the National Bank of Austria. Google Scholar

35.

Laurance, W.F., and Bierregaard, R.O.J., 1997. Tropical Forest Remnants: Ecology, Management, and Conservation of Fragmented Communities. University of Chicago Press, Chicago. Google Scholar

36.

Laurance, W.F., Lovejoy, T.E., Vasconelos, H.L., Bruna, E.M., Didham, R.K., Stouffer, P.C., Gascon, C., Bierregaard, R.O.J., Laurance, S.G., and Sampiao, E., 2002. Ecosystem decay of Amazonian forest fragments: a 22-year investigation. Conservation Biology 16: 605–618. Google Scholar

37.

Lovett, J.C., and Wasser, S.K., 1993. Biogeography and Ecology of the Rainforests of Eastern Africa. Cambridge University Press, Cambridge. Google Scholar

38.

Davis, S.K., 2004. Area sensitivity in grassland passerines: effects of patch size, patch shape, and vegetation structure on bird abundance and occurrence in southern Saskatchewan. Auk 121: 1130–1145. Google Scholar

39.

Githiru, M., and Lens, L., 2007. Application of fragmentation research to conservation planning for multiple stakeholders: An example from the Taita Hills, southeast Kenya. Biological Conservation 134: 271–278. Google Scholar

40.

Ornithological Sub-committee 1996. Checklist of the Birds of Kenya. East Africa Natural History Society, Nairobi. Google Scholar

Appendix 1.

Bird species recorded from the 14 forest patches of the Tana River Primate National Reserve. Taxonomy and species order follow the Ornithological Sub-Committee of the East Africa Natural History Society [40]. Species groups follow Bennun et al. [31].

10.1177_194008290800100306-table4.tif

Appendix 2.

Bird species ringed from the14 forest patches of the Tana River Primate National Reserve, Kenya.

10.1177_194008290800100306-table5.tif

Appendix 3.

Relative abundance and ranks (in parentheses) for the top 10 bird species identified from the timed species counts in the 14 forest patches of the Tana River Primate National Reserve. Only birds recorded above 3 m and within 25 m included.

10.1177_194008290800100306-table6.tif
© 2008 Owino, A. O., Amutete, G., Mulwa, R. K. and Oyugi, J. O. This is an open access paper. We use the Creative Commons Attribution 3.0 license http://creativecommons.org/licenses/by/3.0/ - The license permits any user to download, print out, extract, archive, and distribute the article, so long as appropriate credit is given to the authors and source of the work. The license ensures that the published article will be as widely available as possible and that your article can be included in any scientific archive. Open Access authors retain the copyrights of their papers. Open access is a property of individual works, not necessarily journals or publishers.
Alfred O. Owino, George Amutete, Ronald. K. Mulwa, and Joseph O. Oyugi "Forest patch structures and bird species composition of a lowland riverine coastal forest in Kenya," Tropical Conservation Science 1(3), 242-264, (15 September 2008). https://doi.org/10.1177/194008290800100306
Received: 4 May 2008; Accepted: 31 July 2008; Published: 15 September 2008
KEYWORDS
avian diversity
avian species richness
Kenya
Lower Tana River forests
vegetation structure
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