Data on the distribution of mammals from Mauritania, West Africa

Brito, José Carlos; Álvares, Francisco; Martínez‐Freiría, Fernando; Sierra, Pablo; Sillero, Neftalí; Tarroso, Pedro

doi:10.1515/mamm.2010.055

Cited by 12 publications

(21 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Results from this study emphasize the biological value of Mauritanian mountains, and further support the importance of these island-like mountains for conservation of Sahelo-Saharan biodiversity (Telleria et al, 2008;Padial and Tellen'a, 2009;Trape, 2009;Brito et al, 2010Brito et al, , 2011Vale, Alvares and Brito, 2012;Padial et al, in press). Distribution and habitat selection patterns observed may give indications about other mountain-restricted species in the region, with fragmented distributions and similar habitat requirements, such as Tarentola parvicarinata, Pristurus adrarensis or Ptyodactylus ragazzi.…”

Section: Observationssupporting

confidence: 76%

Distribution, suitable areas and conservation status of the Boulenger’s agama (Agama boulengeri, Lataste 1886)

et al. 2012

Self Cite

View full text Add to dashboard Cite

bstract. Agama boulengeri is a West African endemic lizard. It occurs in arid rocky areas in the Mauritanian mountains and Kayes region of Mali. Data on the distribution of Agama boulengeri is however very coarse, and the contribution of climatic and habitat factors for population isolation are unknown. Using Maxent, GLM, and high-resolution data, we generated environmental niche models, and quantified suitable areas for species occurrence. Field observations and predicted suitable areas were used to evaluate the conservation status of Agama boulengeri. Results revealed the species occurs preferentially close to gueltas, bare areas, and rocky deserts and in areas of increasing rainfall. Suitable cells were mostly located in Mauritania, and four potentially fragmented subpopulations were identified. The conservation status of Agama boulengeri was determined to be of Least Concern.

show abstract

Section: Observationssupporting

confidence: 76%

Distribution, suitable areas and conservation status of the Boulenger’s agama (Agama boulengeri, Lataste 1886)

et al. 2012

Self Cite

View full text Add to dashboard Cite

show abstract

“…1; Methods S1 in Supporting Information): (1) the Patas monkey (Erythrocebus patas Schreber, 1774) ranges across sub-Saharan Africa, with marginal populations in a few Sahara mountains restricted to productive environments around rocky pools (locally known as gueltas), rivers and streams (de Jong et al, 2009;Brito et al, 2010); (2) the Bull frog (Hoplobatrachus occipitalis G€ unther, 1858) ranges from southern Sahara, through East Africa to northern Zambia, with marginal populations at Sahara mountains restricted to temporary water features such gueltas (R€ odel et al, 2006;Padial et al, in press); 1; Methods S1 in Supporting Information): (1) the Patas monkey (Erythrocebus patas Schreber, 1774) ranges across sub-Saharan Africa, with marginal populations in a few Sahara mountains restricted to productive environments around rocky pools (locally known as gueltas), rivers and streams (de Jong et al, 2009;Brito et al, 2010); (2) the Bull frog (Hoplobatrachus occipitalis G€ unther, 1858) ranges from southern Sahara, through East Africa to northern Zambia, with marginal populations at Sahara mountains restricted to temporary water features such gueltas (R€ odel et al, 2006;Padial et al, in press);…”

Section: Target Speciesmentioning

confidence: 99%

“…(3) the Rock hyrax (Procavia capensis Pallas, 1766) is distributed throughout sub-Saharan and west Arabian Peninsula, with isolated populations in Mauritanian and Algerian mountains, where it appears to be dependent on permanent water sources (Barry et al, 2008;Brito et al, 2010).…”

Section: Target Speciesmentioning

confidence: 99%

“…A total of 142 species' observations (E. patas: N = 39; H. occipitalis: N = 72; P. capensis: N = 31) were used for modelling purposes: 82 were collected by authors (Brito, 2003;Brito et al, 2010; C.G. A total of 142 species' observations (E. patas: N = 39; H. occipitalis: N = 72; P. capensis: N = 31) were used for modelling purposes: 82 were collected by authors (Brito, 2003;Brito et al, 2010; C.G.…”

Section: Species Datamentioning

confidence: 99%

See 1 more Smart Citation

Predicting species distribution at range margins: testing the effects of study area extent, resolution and threshold selection in the Sahara–Sahel transition zone

Vale

Tarroso

Brito

2013

Diversity and Distributions

Self Cite

115

View full text Add to dashboard Cite

Aim Compare the performance of continental and regional models in predicting species distributions at range margins. Selection of study area extent, resolution and threshold affects ecological model predictions. At range margins of species distribution, local populations may be restricted to suboptimal environments distinct from the species' global range, which may be missed by continental models.Location Africa and West Africa.Methods We analysed differences in predicted distributions at range margins of three widespread African species that in West Africa occur in peripheral populations restricted to particular habitats. We made comparisons between models built with data from the complete and restricted range of species' distributions (Africa and West Africa, respectively), with coarse and fine resolutions (10 9 10 km and 1 9 1 km, respectively), and classified with three thresholds of species presence (minimum training presence, 10th percentile training presence and maximum training sensitivity plus specificity thresholds). We predicted the species' distributions and quantified environmental variable importance and profile using maximum entropy and estimated niche breadth parameters with ecological niche factor analysis. Results We found differences between model types in niche breadth estimates and also in response curves of the most important variables, suggesting that fine resolution models are more accurate at selecting marginal habitats in West Africa than in Africa. The predictions of species distributions differed with model extent, resolution and threshold analysed. Models built with the complete species environmental range and with coarse resolution tended to overestimate species distributions at the edge, but accuracy increased when more restrictive thresholds were used. In West Africa, independently of the resolution, the threshold value was less important for maximizing agreement between predicted probabilities and observed distribution.Main conclusions At range margins of species distributions, regional models with precise data and conservative thresholds should be preferred over continental models with coarser resolution to identify suitable areas for peripheral populations.

show abstract

“…The major mountains of Mauritania, Adrar Atar, Tagant, Assaba and Afollé (Fig. 1), hold isolated populations of several vertebrate species of Afro-tropical origin (Trape, 2009;Brito et al, 2010Brito et al, , 2011. During the rainy season, raging water fills streams, partially connecting many gueltas, and flows to the lower Senegal river, through the Gorgol el Abiod, Gorgol el Akhdar and Garfa basins (Fig.…”

Section: Introductionmentioning

confidence: 99%

Normalized difference water indexes have dissimilar performances in detecting seasonal and permanent water in the Sahara–Sahel transition zone

Campos

Sillero

Brito

2012

Journal of Hydrology

Self Cite

114

View full text Add to dashboard Cite

Data on the distribution of mammals from Mauritania, West Africa

Abstract: No abstract available

Cited by 12 publications

References 6 publications

Distribution, suitable areas and conservation status of the Boulenger’s agama (Agama boulengeri, Lataste 1886)

Distribution, suitable areas and conservation status of the Boulenger’s agama (Agama boulengeri, Lataste 1886)

Predicting species distribution at range margins: testing the effects of study area extent, resolution and threshold selection in the Sahara–Sahel transition zone

Normalized difference water indexes have dissimilar performances in detecting seasonal and permanent water in the Sahara–Sahel transition zone

Contact Info

Product

Resources

About