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Distribution and habitat associations of the critically endangered bird species of São Tomé Island (Gulf of Guinea)

Published online by Cambridge University Press:  14 November 2016

RICARDO F. DE LIMA*
Affiliation:
CE3C - Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal. Associação Monte Pico, Monte Café, São Tomé, Democratic Republic of São Tomé and Príncipe.
HUGO SAMPAIO
Affiliation:
Sociedade Portuguesa para o Estudo das Aves, Lisbon, Portugal.
JONATHON C. DUNN
Affiliation:
School of Biology, Newcastle University, Newcastle upon Tyne, UK.
GABRIEL CABINDA
Affiliation:
Associação Monte Pico, Monte Café, São Tomé, Democratic Republic of São Tomé and Príncipe.
RICARDO FONSECA
Affiliation:
Associação Monte Pico, Monte Café, São Tomé, Democratic Republic of São Tomé and Príncipe.
GABRIEL OQUIONGO
Affiliation:
Associação Monte Pico, Monte Café, São Tomé, Democratic Republic of São Tomé and Príncipe.
JOEL OQUIONGO
Affiliation:
Associação Monte Pico, Monte Café, São Tomé, Democratic Republic of São Tomé and Príncipe.
SEDNEY SAMBA
Affiliation:
Associação Monte Pico, Monte Café, São Tomé, Democratic Republic of São Tomé and Príncipe.
ARISTIDES SANTANA
Affiliation:
Associação Monte Pico, Monte Café, São Tomé, Democratic Republic of São Tomé and Príncipe.
ESTEVÃO SOARES
Affiliation:
Associação Monte Pico, Monte Café, São Tomé, Democratic Republic of São Tomé and Príncipe. Parque Natural do Obô de São Tomé, Bom Sucesso, São Tomé, Democratic Republic of São Tomé and Príncipe.
LEONEL VIEGAS
Affiliation:
Associação Monte Pico, Monte Café, São Tomé, Democratic Republic of São Tomé and Príncipe. Parque Natural do Obô de São Tomé, Bom Sucesso, São Tomé, Democratic Republic of São Tomé and Príncipe.
ALICE WARD-FRANCIS
Affiliation:
The Royal Society for the Protection of Birds, Sandy, UK.
LUÍS T. COSTA
Affiliation:
Sociedade Portuguesa para o Estudo das Aves, Lisbon, Portugal.
JORGE M. PALMEIRIM
Affiliation:
CE3C - Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal.
GRAEME M. BUCHANAN
Affiliation:
The Royal Society for the Protection of Birds, Sandy, UK.
*
*Author for correspondence; e-mail: rfaustinol@gmail.com
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Summary

São Tomé holds 20 endemic bird species, including the little known and ‘Critically Endangered’ Dwarf Olive Ibis Bostrychia bocagei, São Tomé Fiscal Lanius newtoni and São Tomé Grosbeak Neospiza concolor. We conducted a systematic survey of the core forest area, performing 1,680 point counts and compiling occasional observations, which enabled the identification of new areas of occurrence for the target species. MaxEnt distribution modelling suggested that the ibis and fiscal have roughly half of the potential area of occurrence that had been assumed (127 and 117 km2, respectively), while it more than doubled that of the grosbeak (187 km2). The south-west central region of the island, most of which is included in the São Tomé Obô Natural Park, has the highest potential for the Critically Endangered birds. We confirmed the association of all target species with native forest. The ibis preferred high tree density, while the fiscal selected low tree density and intermediate altitudes. Despite very restricted ranges, population sizes seem to be larger than previously assumed. These results suggest that the fiscal and grosbeak might be better classified as ‘Endangered’, while the ibis should maintain its status under different criteria, due to a very restricted range during the breeding season. This work provides vital ecological knowledge to support conservation action focusing on these species and their habitats, highlighting the need to improve the effectiveness of the São Tomé Obô Natural Park in protecting its unique biodiversity.

Sumário

São Tomé alberga 20 espécies endémicas de aves, incluindo a Galinhola Bostrychia bocagei, o Picanço Lanius newtoni e o Anjoló Neospiza concolor, todos pouco conhecidos e em perigo crítico. Prospectámos sistematicamente o bloco central de floresta, realizando 1680 pontos de contagem e compilando observações ocasionais, que permitiram identificar novas áreas de ocorrência para as espécies alvo. A modelação de distribuição usando MaxEnt sugere que a galinhola e o picanço têm aproximadamente metade da área potencial de ocorrência que havia sido assumida (127 e 117 km2, respectivamente), enquanto que mais que duplicou a do anjoló (187 km2). A região centro e sudoeste da ilha, maioritariamente incluída no Parque Natural do Obô de São Tomé, tem o potencial mais elevado para as aves criticamente ameaçadas. Confirmámos a associação de todas as espécies alvo com a floresta nativa. A galinhola prefere densidades arbóreas elevadas, enquanto que o picanço selecciona densidades arbóreas baixas e altitudes intermédias. Apesar das distribuições muito restritas, os tamanhos populacionais aparentam ser maiores do que assumido anteriormente. Estes resultados sugerem que o picanço e o anjoló poderão ser melhor classificados como em perigo, enquanto que a galinhola deverá manter o seu estatuto, sob critérios distintos, devido à distribuição muito restrita durante a época reprodutora. Este trabalho esclarece alguns aspectos ecológicos cruciais para fundamentar acções de conservação focadas nestas espécies e nos seus habitats, sublinhando a necessidade de melhorar a eficácia do Parque Natural do Obô de São Tomé para proteger a sua biodiversidade única.

Information

Type
Research Article
Copyright
Copyright © BirdLife International 2016 
Figure 0

Figure 1. Map of São Tomé Island showing study area. The squares represent 1-km2 quadrats in the 4-km2 tetrads that were sampled at least once. The dots indicate systematic point counts. The boundaries of the São Tomé Obô Natural Park are shown by the bold black lines. The 100-m contour lines are shown in grey and island outline in black.

Figure 1

Table 1. Point count habitat variables. Each variable was assessed within a 20-m radius around each point count.

Figure 2

Figure 2. The distribution of São Tomé Dwarf Olive Ibis (a), Fiscal (b) and Grosbeak (c). The black quadrats represent confirmed locations, while the superimposed grey areas represent suitable ranges, according to the categorical annual distribution predicted by logistic MaxEnt modelling. Zonation based on categorical SDM (d) is also shown, with the darkest colours indicating the most important conservation areas and the coolest colours indicating the least important conservation areas (0–19% = almost white, 20–49% = very light grey, 50–74% = light grey, 75–89% = intermediate grey, 90–94% = dark grey, 95–97% = very dark grey and 98–100% = black).

Figure 3

Table 2. Spatial overlap between categorical MaxEnt SDM outputs. The lines show the values for each of the three Critically Endangered bird species and across all species. Each column shows the values for each possible comparison between the three seasonal models considered (annual, gravana and gravanito). Values correspond to Schoener’s D, Warren’s I and Cohen’s K statistics, respectively. For across the species, only D and I statistics values are shown. For D and I statistics, 0 means no overlap and 1 complete overlap. For K 0 means no agreement, values between 0 and 0.20 slight agreement, between 0.21 and 0.40 fair agreement, between 0.41 and 0.60 moderate agreement, between 0.61 and 0.80 substantial agreement and between 0.81 and 1 almost perfect agreement.

Figure 4

Table 3. Relative importance (Imp.) and averaged coefficients (Coef.) of variables obtained from generalised linear models on the presence of São Tomé’s Critically Endangered bird species. The grey shading highlights variables with the highest relative importance values (larger than 0.3) and the asterisks indicate variables that on their own perform better than the null model. A relative importance value of 1 means that the variable is included in all best models (Figure S3). Habitat and Season are factorial variables with positive values corresponding to a preference for secondary forest and gravanito, respectively.

Figure 5

Figure 3. Relationship between the presence of São Tomé’s Critically Endangered bird species and environmental variables. Only the variables with the highest relative importance values for each species are plotted (Table 3).

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