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The Djibouti francolin and juniper forest in Djibouti: the need for both ecosystem and species-specific conservation

Published online by Cambridge University Press:  25 September 2009

Zomo S. Y. Fisher*
Affiliation:
Centre for Environmental Policy, Imperial College London, London, UK
Samantha Cartwright
Affiliation:
Centre for Agri-Environmental Research, School of Agriculture, Policy and Development, University of Reading, UK.
Clive Bealey
Affiliation:
World Pheasant Association, Newcastle, UK.
Houssein A. Rayaleh
Affiliation:
Djibouti Nature, Djibouti.
Philip McGowan
Affiliation:
World Pheasant Association, Newcastle, UK.
E. J. Milner-Gulland
Affiliation:
Conservation Science, Division of Biology, Imperial College London, London, UK.
*
Centre for Environmental Policy, Imperial College London, London, UK. E-mail zomo.fisher@erm.com
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Abstract

The majority of Galliformes are ground dwelling, many live in forests, and c. 25% are on the IUCN Red List. The Djibouti francolin Francolinus ochropectus is a Critically Endangered galliform endemic to only two areas of relict Juniperus procera forest in Djibouti. This study assessed population status and habitat condition in the species' stronghold in the Forêt du Day during the post-breeding season. Line transect distance sampling was used to survey the francolin, recording visual encounters and calls. Canopy and understorey vegetation were sampled across the study area at 150-m intervals using 400-m2 quadrats. Interviews were conducted in all adjacent villages to obtain information about francolin sightings, forest use and capacity for community-based conservation. Distance was used to generate francolin population density estimates. A geographical information system and generalized linear modelling were used to determine predictors of francolin presence and juniper condition. The Distance model estimated francolin density to be 38–94 km-2. Within the Forêt du Day this is equivalent to a population of 285–705 individuals. The presence of juveniles in the samples suggests that the effective population size may be lower and therefore, although this is the first estimate of Djibouti francolin density using standard survey methodology, it should be interpreted cautiously. Juniper condition in the Forêt du Day is poor. The healthiest forest is 50% dead. Francolins are more abundant where tree cover is high. This cover now mostly consists of Buxus hildebrandtii, which appears to have mostly replaced the original juniper. In areas of high tree cover, grazing intensity is significantly negatively correlated with francolin presence. Anthropogenic influences on juniper health and francolin decline are mediated through the large number of cows grazing in the forest. We recommend an ecosystem approach to conservation of the forest, with additional species-specific protection measures for the francolin and juniper.

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Copyright
Copyright © Fauna & Flora International 2009
Figure 0

Fig. 1 The study area of the Forêt du Day on the Goda Massif, with places mentioned in the text and the boundary of the study area. The satellite photograph backdrop illustrates the landforms. The inset shows the location of the main map in Djibouti.

Figure 1

Plate 1 (a) Dead juniper (condition 0%) on the Garab plateau and (b) healthy juniper (condition 100%) at Diyara (Fig. 1).

Figure 2

Fig. 2 Mean density (with standard error bars) of dead and living juniper Juniperus procera in the five main regions of the Forêt du Day (Fig. 1).

Figure 3

Table 1 Distance analysis of francolin density (with 95% confidence intervals, CI), and cluster density and size, using a half-normal model with a cosine function.

Figure 4

Fig. 3 Illustration of (a) mean juniper condition:grazing and (b) tree cover:grazing interactions in relation to francolin presence. Low and high mean condition and tree cover are calculated by dividing the data set in half, with the lowest 50% of values in one data set and highest values in the other. Values shown are averages.

Figure 5

Table 2 Minimum adequate model for francolin presence/absence (see text for further details). Model deviance is 182.0.