Modeling the Geographic Distribution of Prosopis africana (G. and Perr.) Taub. in Niger

Abdou, Laouali; Diouf, Abdoulaye; Inoussa, Maman Maârouhi; Mamoudou, Boubacar Moussa; Illiassou, Salamatou Abdourahamane; Mahamane, Ali

doi:10.5539/enrr.v6n2p136

“…This study is based only on a set of existing data. These results could be better with additional data collected in the field, as it has been done by Abdou et al (2016) about niche modeling of Prosopis africana in Niger and others authors (Hirzel & Guisan, 2002).…”

Section: Model Performance Predictions and Suitable Potential Habitamentioning

confidence: 95%

“…Visual comparisons of the actual records data of the two species (Aké-Assi, 1998;Aké-Assi, 2001-2002, Poorter et al, 2004 in Côte d'Ivoire will represent also an excellent agreement. These kind of results have permitted to suggest the conservation plan for some West African target species such as Chrysophyllum albidum in Bénin (Gbesso et al, 2013) and Prosopis africana in Niger (Abdou et al, 2016). This is a general situation under the tropics according to Cayuela et al (2009) who have investigated the problems and potentialities of species distribution modeling as a tool for conservation planning and policy development and implementation in tropical regions.…”

Section: Platysepalum Hirsutum Triclisia Patensmentioning

confidence: 99%

“…Maximum entropy distribution or Maxent is a general-purpose method for characterizing probable distributions from incomplete information, and has recently been applied to model species distributions (Phillips et al, 2006;Abdou et al, 2016). This method has been found best among several many different modeling methods (Elith et al, 2006;Ortega-Huerta & Peterson, 2008), and may remain effective despite small sample sizes (Hernandez et al, 2006;Pearson et al, 2007;Papes & Gaubert, 2007;Wisz et al, 2008;Benito et al, 2009).…”

Section: Suitable Habitat Modeling Proceduresmentioning

confidence: 99%

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Comparing Suitable Habitat Models to Predict Rare and Endemic Plant Species Distributions: What are the Limits of the Niche of Cola lorougnonis (Malvaceae) in Cote d'Ivoire?

Vroh

¹

,

Yao²,

Kpangui³

et al. 2016

ENRR

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Cola lorougnonis is an endemic, rare, and treated species. It was recently recorded in Dékpa forest near Agbaou (a village of Divo region, Côte d'Ivoire). In the same forest, 20 other rare and endemic plant species were recorded. Accurate modeling of geographical distributions of these species is crucial to various applications in ecology and biodiversity conservation. The present study analyzed suitable habitat models for the 21 species. The main objective was to test geographical predictions for the focused species: Cola lorougnonis. We used Maxent modelling method for predicting potential suitable habitats combining environmental variables and species records. We evaluated Maxent predictions using the area under the receiver-operating characteristic curve (AUC). For each species, the map of distribution was engineered using DIVA-GIS. We compared the suitable habitat areas among species. Principal Canonical Analysis allowed the ordination of species according to environmental variables. AUC values allowed to get 11 species with excellent distribution models, 8 species with good distribution models, and 2 species with predictive models considered as acceptable. Cola lorougnonis (AUC = 0.99) and Drypetes singroboensis (AUC = 0.96) have the same focused area: moist semi-deciduous forest in Côte d'Ivoire. They are more sensitive to changes in rainfall of both warmest and coldest seasons. The State of Côte d'Ivoire has to undertake monitoring, assessment and reporting of conservation status facilitation for all habitats where these species could be found within the territory. Additional studies focusing on the investigation areas and niche models onto future conditions of climate could be considered.

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“…Visual comparisons of the actual records data of the two species (Aké-Assi, 1998;Aké-Assi, 2001-2002, Poorter et al, 2004 in Côte d'Ivoire will represent also an excellent agreement. These kind of results have permitted to suggest the conservation plan for some West African target species such as Chrysophyllum albidum in Bénin (Gbesso et al, 2013) and Prosopis africana in Niger (Abdou et al, 2016). This is a general situation under the tropics according to Cayuela et al (2009) who have investigated the problems and potentialities of species distribution modeling as a tool for conservation planning and policy development and implementation in tropical regions.…”

Section: Suitable Habitats Comparison Between These Twenty One Rare Smentioning

confidence: 98%

Untitled

2016

ENRR

1

0

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Cola lorougnonis is an endemic, rare, and treated species. It was recently recorded in Dékpa forest near Agbaou (a village of Divo region, Côte d'Ivoire). In the same forest, 20 other rare and endemic plant species were recorded. Accurate modeling of geographical distributions of these species is crucial to various applications in ecology and biodiversity conservation. The present study analyzed suitable habitat models for the 21 species. The main objective was to test geographical predictions for the focused species: Cola lorougnonis. We used Maxent modelling method for predicting potential suitable habitats combining environmental variables and species records. We evaluated Maxent predictions using the area under the receiver-operating characteristic curve (AUC). For each species, the map of distribution was engineered using DIVA-GIS. We compared the suitable habitat areas among species. Principal Canonical Analysis allowed the ordination of species according to environmental variables. AUC values allowed to get 11 species with excellent distribution models, 8 species with good distribution models, and 2 species with predictive models considered as acceptable. Cola lorougnonis (AUC = 0.99) and Drypetes singroboensis (AUC = 0.96) have the same focused area: moist semi-deciduous forest in Côte d'Ivoire. They are more sensitive to changes in rainfall of both warmest and coldest seasons. The State of Côte d'Ivoire has to undertake monitoring, assessment and reporting of conservation status facilitation for all habitats where these species could be found within the territory. Additional studies focusing on the investigation areas and niche models onto future conditions of climate could be considered.

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Assessment of Climate Change Impact on Future Distribution of Palm Trees in Niger, West Africa

Kanda,

Da,

Maârouhi

et al. 2024

Discov Sustain

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Modeling the Geographic Distribution of Prosopis africana (G. and Perr.) Taub. in Niger

Cited by 3 publications

References 23 publications

Comparing Suitable Habitat Models to Predict Rare and Endemic Plant Species Distributions: What are the Limits of the Niche of Cola lorougnonis (Malvaceae) in Cote d'Ivoire?

Comparing Suitable Habitat Models to Predict Rare and Endemic Plant Species Distributions: What are the Limits of the Niche of Cola lorougnonis (Malvaceae) in Cote d'Ivoire?

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Assessment of Climate Change Impact on Future Distribution of Palm Trees in Niger, West Africa

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