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首页> 外文期刊>Environment and Natural Resources Research >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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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?

机译：比较合适的栖息地模型以预测稀有植物和特有植物物种的分布：科特迪瓦可乐树（Ma科）生态位的局限性是什么？

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Cola lorougnonis is an endemic, rare, and treated species. It was recently recorded in Dekpa forest near Agbaou (a village of Divo region, Cote 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 Cote d’Ivoire. They are more sensitive to changes in rainfall of both warmest and coldest seasons. The State of C?te 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.
机译：可乐lorougnonis是一种地方性，罕见和经过处理的物种。最近在Agbaou（科特迪瓦Divo地区的一个村庄）附近的Dekpa森林中记录了它。在同一森林中，还记录了其他20种稀有和特有植物物种。这些物种的地理分布的准确模型对于生态和生物多样性保护中的各种应用至关重要。本研究分析了21种适合的生境模型。主要目的是测试可疑物种可乐的地理预测。我们使用Maxent建模方法，结合环境变量和物种记录来预测潜在的合适栖息地。我们使用接收器工作特征曲线（AUC）下的面积评估了Maxent预测。对于每个物种，都使用DIVA-GIS设计了分布图。我们比较了物种之间合适的栖息地。主要规范分析允许根据环境变量对物种进行排序。 AUC值可以使11种具有优良分布模型的物种，8种具有良好分布模型的物种和2种具有预测模型的物种被认为是可以接受的。 Lorougnonis可乐（AUC = 0.99）和Drypetes singroboensis（AUC = 0.96）具有相同的关注区域：科特迪瓦湿润的半落叶林。它们对最暖和最冷季节的降雨变化更为敏感。科特迪瓦国必须对在本领土内可能发现这些物种的所有生境进行监测，评估和报告保护状况的促进。可以考虑针对研究范围和未来气候条件的生态位模型进行其他研究。

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