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1 January 2020 Occupancy and Conservation Prospects of Endemic Banded Wattle-Eye Platysteira laticincta in the Kilum–Ijim Community Forest, Northwestern Cameroon
Valery A. Binda, Theodore B. Mayaka
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Abstract

The banded wattle-eye bird species, BWE (Platysteira laticincta) is rare, endangered, and endemic to the Bamenda Highlands, Western Cameroon. Kilum–Ijim Community Forest is its last stronghold. Little is known about BWE’s distribution and habitat requirements—the present baseline study aimed at reducing this knowledge gap. Bird occurrence—using call playback technique—and vegetation variables were recorded in 50-m radius sampling plots placed in the altitude range 2,100 to 2,800 m. The BWE occurred at 43 (35%) of 123 plots mostly within Kilum sector of the Community Forest, at altitude range 2,168 to 2,707 m. The log-odds of BWE occurrence significantly (a) increased with canopy height, herb relative abundance, bare soil relative abundance, and shrub relative abundance and (b) decreased with altitude and understory height. These results suggest that the BWE may prefer forest areas at lower altitude with more bare ground and denser undergrowth cover. The implications for BWE conservation are discussed.

Introduction

The globally threatened banded wattle-eye, BWE (Platysteira laticincta) is a bird endemic to Bamenda Highlands (Cameroon), with the Kilum–Ijim Community Forest (KICF) as last stronghold (Forboseh & Ikfuingei, 2001; Stuart, 1986). The BWE is listed as endangered on IUCN Red List and is classed “A” (fully protected) under Cameroon’s legislation (Djeukam, 2012; Forboseh & Ikfuingei, 2001). The species remains poorly studied with the only study on it being a 2½-decade-old preliminary survey focused on its population status (McKay, 1994).

Current data on BWE population distribution and ecological requirements are lacking (Dowsett-Lemaire & Dowsett, 1998; Forboseh, Keming, Toh, & Wultof, 2003). Therefore, any strategy for effective conservation of the BWE is hindered by a lack of baseline data (Brooks, Collar, Green, Marsden, & Pain, 2008; Forboseh et al., 2003). We researched the extent to which the occurrence of the BWE in the KICF is determined by altitude and vegetation structure. We hypothesized that the species’ occurrence would be (a) mostly restricted to 2,000 to 2,800 m altitude range of the montane forest of which it is specialist (Forboseh et al., 2003; Ingram & Nsom Jam, 2007; Thomas, Anders, & Penn, 2000) and (b) influenced by the forest vegetation structure, as reported on several forest bird species elsewhere (Carvalho et al., 2015; Douglas et al., 2014).

Methods

This study occurred in the KICF (6°05′–6°20′N and 10°20′–l0°34′E; ca. 20,000 ha; 1,600–3,011 m a.s.l., but mostly above 2,000 m), inside the Bamenda Highlands of northwestern Cameroon (Thomas et al., 2000; Figure 1).

Figure 1.

Geographic location of study area (Kilum–Ijim Community Forest) showing sampling units where the banded wattle-eye was detected (green dots) and not detected (red dots).

10.1177_1940082919882884-fig1.tif

Bird surveys were conducted in November 2016 to April 2017 which is dry season and species’ nesting period (McKay & Coulthard, 1996) in the Kilum and Ijim mountain forests also known as the KICF. The study area is a mosaic of (Solefack, 2017) montane forest—of which the BWE is specialist (Ingram & Nsom Jam, 2007)—montane grassland, and subalpine vegetation. The survey was restricted to the montane forest, without need for stratification.

The bird survey combined the point-count method (Bibby, Burgess, & Hill, 1992) with call playback technique to increase the detectability of the BWE—the species is elusive (Gregory, Gibbons, & Donald, 2004)—in the period 06:30 to 11:30 of high detectability and low variation in activity, as a pilot study we undertook had found. The surveyor traversed transects of varying lengths—set up under the Kilum–Ijim Forest Project—that run from the forest fringe at around 2,100 m elevation toward the summit at 2,800 m elevation. Sampling plots of 50-m radius were established 100 m apart on alternate sides of the transect route (following Marsden, Jones, Linsley, Mead, & Hounsome, 1997) to minimize bias from edge effect. At each sampling plot center, the surveyor played the aggression call of the BWE—sourced from Xeno-Canto online database recommended by Woog, Renner, and Fjeldsa, (2010)—using a Sony ICD-UX533 tape recorder equipped with a portable Sony battery-powered 4 W speaker. The call broadcast was limited to 20 seconds (to avoid stressing the bird and influencing its normal behavior) and any response noted in the ensuing 30 seconds. At each sampling point, location, altitude, and distance between points were measured using a handheld Garmin 64s GPS receiver with an average error of 4 m. Although the species is known to occur between 1,800 m and 2,450 m (BirdLife International, 2012), surveys were extended a little beyond the 2,450 m upper limit, where possible, to confirm their absence as recommended by Gregory et al. (2004). Forest below 2,000 m a.s.l. has been converted to farmland (Valery A. Binda, personal observation) and surveying below the 1,800 m lower limit was thus not necessary.

Habitat selection by the BWE was investigated more fully through further vegetation assessment of all survey points. To avoid disturbing birds and for efficient time use, habitat surveys occurred each day after completion of the call playback sampling. For each sampling plot, measurement points were located at the northern, eastern, southern, and western ends of the plot with a fifth one in the center. Direction was estimated using a compass. Habitat measurements included (i) canopy height: the height of the tallest vegetation components above ground level, (ii) canopy cover: the proportion of the forest floor covered by the vertical projection of the tree crowns, (iii) understory height: average of vegetation between 2.4 and 11 m in height, and (iv) relative percentage abundance of stratified vegetation including (a) trees (perennial plants higher than 6 m with an emergent stem or trunk and branches made of wood), (b) shrubs (woody plants smaller than a tree but with several main stems arising at or near the ground, usually less than 6 m high), (c) herbs (seed-bearing plants which do not have a woody stem and dies down to the ground after flowering), and (d) bare soil (soil not covered by vegetation, litter or downed woody material). Canopy height and canopy cover were estimated using a Nikon Laser600 laser rangefinder and a spherical densiometer, respectively. Estimates of understory height and relative percentage abundance of trees, shrubs, herbs, and bare soil were made through direct observations. To avoid interobserver bias, observations were taken by a single observer.

All computations were performed under version 3.5.0 of software R (R Core Team, 2013). The covariables were mean-centered and scaled with scale () function, prior to a multicollinearity check. The BWE occurrence is a Bernoulli event with probability π. Thus, we used a binary logistic regression (Agresti, 2002; Venables & Ripley, 2002) to model the logit of occurrence probability as a linear predictor function of altitude X (linear and quadratic gradients) and the subset of habitat characteristics Zp that passed the automated selection. The human signs were not included in the model, as few were recorded in Ijim subarea of study. Altitude is meaningful both ecologically (for a montane forest specialist like BWE) and statistically (for testing the altitude gradient). Latitude did not pass the criterion for entering the model which read thus:

10.1177_1940082919882884-eq1.tif
where πijk is the BWE’s occurrence probability at sampling plot k in transect j of area i; α0 α1, and α11 are respectively the intercept, linear gradient, and quadratic gradient of altitude in Kilum area (reference level); δ0, δ1, and δ2 are the corresponding differential gradient effects for the Ijim sector; the βps are the regression coefficients of habitat characteristics. The aforementioned model was simplified through gradual removal of the interaction effects, after due tests, namely, H0(i): δi=0 versus H1(i): δi0, using a chi-squared approximation of the Likelihood ratio test at 5% significance probability level. The final model was selected using the Akaike’s information criterion.

Results

The BWE occurred in 2,168 to 2,707 m altitude range. The birds were recorded in 39% of Kilum plots (37 of n = 93 plots), 20% of Ijim plots (6 of n = 30 plots), and in 35% of the overall plots (43 of n = 123 plots). See Figure 1 for location of detections and column 3 of Table 1 for detailed statistics.

Table 1.

Mean (± SD) BWE detection rate and vegetation measurements at transect and sector level .

10.1177_1940082919882884-table1.tif

The vegetation in Ijim compared to that of Kilum is as follows (Table 1): a taller understory, a greater shrub relative abundance, a lower canopy height, a lower tree relative abundance, a smaller bare soil relative abundance, and similar herb relative abundance.

None of the interaction effects was significant at 5% probability level. As seen in Table 2, the log-odds of BWE occurrence significantly: (a) increased with canopy height, shrub relative abundance, herb relative abundance, bare soil relative abundance and (b) decreased with altitude and understory height.

Table 2.

Output of Logistic Regression for Predicting Occurrence Probability of the Banded Wattle-Eye.

10.1177_1940082919882884-table2.tif

Discussion

The 2,100 to 2,800 m altitude range within which the BWE occurred during this study differs from the 1,800 to 2,450 m range previously reported (BirdLife International, 2012; McKay & Coulthard, 1996). This is a cause for concern as not only the forest below 2,000 m a.s.l. has been already converted to farmland, but the species seems to avoid altitudes higher than 2,500 m (see Figure 2). The absence of a buffer zone exposes the forest fringes at lower altitude to disturbance and encroachment from farming activities (Valery A. Binda, personal observation). This presents a serious threat to the BWE which seems to prefer forest areas at lower altitude.

Figure 2.

Change in the detection probability of BWE with altitude (in scale units) using the fitted regression model. The detection probability reaches a maximum at about 2,500 m, that is, the upper range limit reported by BirdLife International (2012) then decreases, all habitat characteristics being equal.

10.1177_1940082919882884-fig2.tif

The study corroborated previous reports on the bird’s preference for areas with abundant herbs (Maisels, as cited in BirdLife International, 2012). Even though the Ministry of Forestry and Wildlife (MINFOF) placed a legal ban on grazing activities at the summit (Muam, 2004), these activities remain intensive. Livestock—mainly goats and sheep from the summit now encroach into adjacent forest areas (see Figure 3) where they browse on seedlings and mature herbs within their reach. This is a conservation threat especially to the BWE which inhabits thick undergrowth cover and nests close to the ground (Valery A. Binda, personal observation). The BWE preference for thick undergrowth cover makes it extremely vulnerable to habitat destruction by forest fires which according to Fotso (1996) are often started accidentally by beekeepers and farmers. It also exposes the BWE to reproductive failure resulting from egg collection by children and nest destruction by forest users. BWE prefer areas with high-canopy trees comprising a large proportion of species that are exploited for their high economic value: Prunus africana, Podocarpus latifolius, and Schefflera spp. The indiscriminate felling of these tree species threatens the BWE whose occurrence is favored by their high canopies. Forest management must be shared among traditional authorities, local communities, and MINFOF (Thomas et al., 2000); however, MINFOF has been weak in her role of law enforcement and monitoring.

Figure 3.

Photographs of signs of various human activities in the KICF recorded during the study: (a) felling, (b) debarking, (c) snare, (d) grazing, (e) fire, and (f) beehives. Photo credit: Valery A. Binda.

10.1177_1940082919882884-fig3.tif

Implications for Conservation

Our knowledge of the BWE is still insufficient; however, this study identified vegetation characteristics preferred by the BWE and discusses potential human threats to the species within the KICF. Fire remains the most damaging threat to the species and its habitat. MINFOF should ban bushfires or keep them to strict necessity within and around forest boundaries. Creating and maintaining a buffer zone between the forest and farms, and a fire-watch system could also be an effective approach in preventing forest fires. A buffer zone would also prevent further encroachment of forest fringes at lower altitude from farming activities which could be a serious threat to the BWE that seems to prefer forest areas at lower altitude. The use of beekeeping techniques that minimize fire hazards should be promoted. The enforcement of the forest-wide rules is paramount to the success of community forest management. A permanent MINFOF structure should be instituted to support and monitor the management and utilization of the forest by local communities, and to ensure that bans on grazing, bushfires, and indiscriminate felling of trees are enforced. Environmental education and conservation outreach programs targeting the BWE should be implemented.

Acknowledgments

Valery A. Binda thanks Dr. Taku Awa II (University of Dschang), Dr. Kevin Y. Njabo (University of California Institute of the Environment), and Prof. Tsi Evaristus Angwafo (University of Bamenda) for their support with study design and implementation. Clive McKay kindly shared useful information about the species. Ernest Keming made an excellent field assistant. The authors are grateful to three anonymous referees whose comments helped improve the initial draft.

Declaration of Conflicting Interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Generous financial support was gratefully received from the Conservation Action Research Network [grant number 2016-01] through the Congo Basin Grant Program.

References

1.

Agresti, A. (2002). Categorical data analysis. New York, NY: Wiley. Google Scholar

2.

Bibby, C. J., Burgess, N. D., Hill, D. A. (1992). Bird census techniques. London, England: Academic Press. Google Scholar

3.

BirdLife International. (2012). Platysteira laticincta. The IUCN Red List of Threatened Species 2012: e.T22707929A39321256. Retrieved from  http://doi.org/10.2305/IUCN.UK.2012 1.RLTS.T22707929A39321256.en Google Scholar

4.

Brooks, T. M., Collar, N. J., Green, R. E., Marsden, S. J., Pain, D. J. (2008). The science of bird conservation. Bird Conservation International, 18, S2–S12. Google Scholar

5.

Carvalho, M., Fa, J. E., Rego, F. C., de Lima, R. F., Santos, G., Palmeirim, J. M. (2015). Factors influencing the distribution and abundance of endemic pigeons on São Tomé Island (Gulf of Guinea). Bird Conservation International, 25, 71–86. Google Scholar

6.

Djeukam, R. (2012). The wildlife law as a tool for protecting threatened species in Cameroon. Yaounde, Cameroon: Ministry of Forestry of Forestry and Wildlife (MINFOF), Government of Cameroon. Google Scholar

7.

Douglas, D. J. T., Nalwanga, D., Katebaka, R., Atkinson, P. W., Pomeroy, D. E., Nkuutu, D., Vickery, J. A. (2014). The importance of native trees for forest bird conservation in tropical farmland. Animal Conservation, 14, 256–264. Google Scholar

8.

Dowsett-Lemaire, F., Dowsett, R. J. (1998). Surveys of Oku Mt and other IBAs in NW Province (Cameroon), February-March 1998. Report for BirdLife International. Liege, Belgium: Tauraco Press & Aves a. s. b. l. Google Scholar

9.

Forboseh, P. F., Ikfuingei, R. N. (2001). Estimating the population densities of Tauraco bannermani in the Kilum-Ijim forest, northwestern Cameroon. Ostrich Supplement, 15, 114–118. Google Scholar

10.

Forboseh, P. F., Keming, E. C., Toh, C. L., Wultof, I. N. (2003). Monitoring of Kilum-Ijim forest bird communities: Initial findings. Bird Conservation International, 13, 255–271. Google Scholar

11.

Fotso, R. C. (1996). Seasonal breeding in birds and its implications for the conservation of biodiversity in the Oku region, Cameroon. Bird Conservation International, 6, 393–408. Google Scholar

12.

Gregory, R. D., Gibbons, D. W., Donald, P. F. (2004). Bird census and survey techniques (Chapter 2). In Sutherland, W. J., Newton, I., Green, R. E. (Eds.), Bird ecology and conservation: A handbook of techniques (pp. 17–56). Oxford, England: Oxford University Press. Google Scholar

13.

Ingram, V., Nsom Jam, A. (2007). Plant and animal guide for the Western Cameroon highlands. Nature & Fauna, 22, 29–36. Google Scholar

14.

Marsden, S., Jones, M., Linsley, M., Mead, C., Hounsome, M. (1997). The conservation status of the restricted-range lowland birds of Buru, Indonesia. Bird Conservation International, 7, 213–233. Google Scholar

15.

McKay, C. R. (1994). Survey of important bird areas for Bannerman's Turaco Tauraco bannermani and banded wattle-eye Platysteira laticincta in North West Cameroon Interim report. Cambridge, England: BirdLife International. Google Scholar

16.

McKay, C. R., Coulthard, N. (1996). The Kilum-Ijim Forests IBA in Cameroon: Monitoring biodiversity using birds as indicators. Ostrich, 71, 177–180. Google Scholar

17.

Muam, A. (2004). Kilum mountain forest project-Kilum mountain forest-legal status of state forest-status of community forest and national forest-execution of an administrative act-trespass into government premises-prosecution of grazers-traditional use rights. Juridis Périodique, 57, 38–47. Google Scholar

18.

R Core Team. (2013). R: A language and environment for statistical computing. Retrieved from  http://www.R-project.org/ Google Scholar

19.

Solefack, M. C. M. (2017). Plant assemblages along an altitudinal gradient of Mount Oku forests (Cameroon). Journal of Agriculture and Ecology Research International, 11, 1–10. Google Scholar

20.

Stuart, S. N. (1986). Conservation of Cameroon Montane forests. Cambridge, England: International Council for Bird Preservation. Google Scholar

21.

Thomas, D. H. L., Anders, S., Penn, N. J. (2000). Conservation in the community: The Kilum-Ijim Forest Project, Cameroon. Ostrich, 71, 157–161. Google Scholar

22.

Venables, W. N., Ripley, B. D. (2002). Modern applied statistics with S. New York, NY: Springer. Google Scholar

23.

Woog, F., Renner, S. C., Fjeldsa, J. (2010). Tips for bird surveys and censuses in countries without existing monitoring schemes. ABC Taxa, 8, 558–586. Google Scholar
© The Author(s) 2019 Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Valery A. Binda and Theodore B. Mayaka "Occupancy and Conservation Prospects of Endemic Banded Wattle-Eye Platysteira laticincta in the Kilum–Ijim Community Forest, Northwestern Cameroon," Tropical Conservation Science 12(1), (1 January 2020). https://doi.org/10.1177/1940082919882884
Received: 13 July 2019; Accepted: 23 September 2019; Published: 1 January 2020
KEYWORDS
banded wattle-eye
bird occurrence
conservation
endangered
endemic
Kilum–Ijim Community Forest
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