Spatial distribution, ecological niche model of pignut and control eradication strategies in the context of climate and global change for Benin, West Africa

Aïkpon Gorgias, Koura Kourouma, Ganglo C. Jean
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Abstract

Benin’s native biodiversity, like other countries in the world, is facing biological invasions through the proliferation of invasive alien species. One of them, the pignut (Mesosphaerum suaveolens (L.) Kuntze, Lamiaceae), represents a serious threat to the biodiversity. The control of its spatial distribution and ecological niche are essential to understand its favorable spatial area and predict its dynamics. The objective of this study was to contribute to the biodiversity conservation. A total of 193 farmers and breeders, were subjected to a questionnaire in order to determine their knowledge with respect to M. suaveolens. The cumulative collection of occurrence data across the literature, the Global Biodiversity Information Facility (GBIF), and field data generated a total of 2900 occurrence points. Modeling across Africa using Maxent (version3.4.1) helped establish the potential and future distribution of this species. The Africlim climatic ensemble model was used with two climatic scenarios of the Intergovernmental Platform on Climate Change (IPCC): rcp4.5 and rcp8.5 horizon 2055. On 24 bioclimatic and environmental parameters tested, four bioclimatic variables who most contributed to the model were selected. Four risk level zones of invasion were identified: limited risk zone, risk zone, high risk zone, and very high risk zone.   Key words: Maxent, biodiversity, modeling, biological invasions, Benin, Africa.
西非贝宁木质素的空间分布、生态位模型以及气候和全球变化背景下的控制根除战略
贝宁的本土生物多样性同世界上其他国家一样,由于外来入侵物种的扩散而面临生物入侵。其中一种是甜果仁(Mesosphaerum suaveolens, L.)昆孜,Lamiaceae),对生物多样性构成严重威胁。控制其空间分布和生态位是了解其有利空间区域和预测其动态的关键。本研究旨在为生物多样性保护做出贡献。共对193名农民和育种者进行了问卷调查,以确定他们对沙瓦伊勒支原体的了解程度。通过文献资料、全球生物多样性信息设施(GBIF)和野外数据的累积收集,共生成2900个发生点。使用Maxent (version3.4.1)对整个非洲进行建模,帮助确定了该物种的潜在分布和未来分布。在rcp4.5和rcp8.5地平线2055两种气候情景下,采用非洲气候集合模式进行了研究。对24个生物气候和环境参数进行了测试,选择了对模型贡献最大的4个生物气候变量。确定了有限风险区、风险区、高风险区和极高风险区4个入侵风险等级区。关键词:Maxent,生物多样性,建模,生物入侵,贝宁,非洲
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