An assessment of liverwort richness, endemicity and conservation in a megadiverse country - Colombia

IF 3 2区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION
Yeison Jaroc Lombo-Sanchez, Karen Yuliana Suarez-Contento, Mércia Patrícia Pereira Silva, Kátia Cavalcanti Pôrto
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Abstract

Knowing the centers of richness and endemism is crucial for prioritizing biodiversity conservation efforts, particularly in taxa susceptible to environmental changes and in regions of significant biological importance. We used species occurrence data from species lists, online information sources, and herbarium records to identify the centers of endemism of liverworts in Colombia. Sampling biases were assessed using the ‘sampbias’ package. Geospatial analyses were applied to identify species richness and endemism centers, with the latter identified using the NDM/VNDM algorithm. Species conservation status was evaluated based on IUCN Red List criterion B using the ‘ConR’ package. Despite low sampling efforts across all regions, the collection bias model revealed disparities in sampling, with fewer expected records in the Orinoco, Caribbean, and Amazon regions, highlighting the need for new inventories in these priority areas. The Andean (567 total species, 16 endemic species and subspecies) and Pacific (301 total species, 7 endemic species) regions stood out with higher richness. Two centers of endemism were identified: the Pacific and the Andean regions, emerging as priorities for conservation investments. Only 4% of the total area of the centers of endemism in Colombia was found within protected areas (PAs), and 40% of species were classified as threatened. Despite the challenges, 22.7% of the endemic species are found within PAs, underscoring the urgent need for efficient PA management, especially those located along the central Andes Mountain range.

Abstract Image

评估一个物种丰富的国家(哥伦比亚)的肝草丰富度、特有性和保护情况
了解物种丰富度和特有性中心对于确定生物多样性保护工作的优先次序至关重要,尤其是在易受环境变化影响的类群和具有重要生物学意义的地区。我们利用来自物种名录、在线信息源和标本馆记录的物种出现数据,确定了哥伦比亚肝草属植物的特有性中心。使用 "sampbias "软件包对采样偏差进行了评估。应用地理空间分析确定物种丰富度和特有性中心,后者使用 NDM/VNDM 算法确定。使用 "ConR "软件包根据《世界自然保护联盟红色名录》标准 B 对物种保护状况进行了评估。尽管所有地区的采样工作都不多,但采集偏差模型显示采样工作存在差异,奥里诺科河、加勒比海和亚马逊地区的预期记录较少,这突出表明有必要在这些重点地区开展新的编目工作。安第斯地区(共有 567 个物种,16 个特有物种和亚种)和太平洋地区(共有 301 个物种,7 个特有物种)的物种丰富度较高。确定了两个特有物种中心:太平洋地区和安第斯地区,这两个地区成为保护投资的重点。哥伦比亚只有 4% 的特有物种中心位于保护区内,40% 的物种被列为濒危物种。尽管面临这些挑战,但仍有 22.7% 的特有物种分布在保护区内,这表明迫切需要对保护区进行有效管理,尤其是位于安第斯山脉中部的保护区。
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来源期刊
Biodiversity and Conservation
Biodiversity and Conservation 环境科学-环境科学
CiteScore
6.20
自引率
5.90%
发文量
153
审稿时长
9-18 weeks
期刊介绍: Biodiversity and Conservation is an international journal that publishes articles on all aspects of biological diversity-its description, analysis and conservation, and its controlled rational use by humankind. The scope of Biodiversity and Conservation is wide and multidisciplinary, and embraces all life-forms. The journal presents research papers, as well as editorials, comments and research notes on biodiversity and conservation, and contributions dealing with the practicalities of conservation management, economic, social and political issues. The journal provides a forum for examining conflicts between sustainable development and human dependence on biodiversity in agriculture, environmental management and biotechnology, and encourages contributions from developing countries to promote broad global perspectives on matters of biodiversity and conservation.
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