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Assessing extinction-risk of endangered plants using species distribution models: a case study of habitat depletion caused by the spread of greenhouses

机译:利用物种分布模型评估濒危植物的灭绝风险:以温室大棚蔓延引起的栖息地枯竭为例

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摘要

The species distribution models (SDMs) are useful tools for investigating rare and endangered species as well as the environmental variables affecting them. In this paper, we propose the application of SDMs to assess the extinction-risk of plant species in relation to the spread of greenhouses in a Mediterranean landscape, where habitat depletion is one of the main causes of biodiversity loss. For this purpose, presence records of the model species (Linaria nigricans, a endemic and threatened species) and the greenhouses, a dataset of environmental variables, and different only presence-based modelling algorithms (Bioclim, Domain, GARP, MaxEnt and ENFA) were used to build SDMs for L. nigricans as well as for greenhouses. To evaluate the models a modified approach of the area-under-curve ROC was applied. Combining the most accurate models, we generated an extinction-risk model of L. nigricans populations, which enabled us to assess the sustainability of the most threatened populations. Our results show that is possible to model greenhouses spreading as a “biological invasion”. The procedure explained and used in this work is quite novel, and offers an objective spatial criterion intended for the management of natural resources and for the conservation of the biodiversity in areas threatened by habitat depletion processes as particular as greenhouses expansion.
机译:物种分布模型(SDM)是研究稀有和濒危物种以及影响它们的环境变量的有用工具。在本文中,我们建议使用SDM来评估与地中海景观中温室传播有关的植物物种的灭绝风险,在该景观中,栖息地的枯竭是生物多样性丧失的主要原因之一。为此目的,模型动物(大叶利纳里亚(Linaria nigricans),特有和受威胁物种)和温室的存在记录,环境变量的数据集以及仅基于存在的建模算法(Bioclim,Domain,GARP,MaxEnt和ENFA)得到了记录。用于为黑麦草和温室建造SDM。为了评估模型,采用了曲线下ROC的改进方法。结合最准确的模型,我们生成了黑乳杆菌种群的灭绝风险模型,这使我们能够评估受威胁最大的种群的可持续性。我们的结果表明,可以将温室传播模拟为“生物入侵”。在这项工作中解释和使用的程序是相当新颖的,并且提供了一个客观的空间标准,旨在用于自然资源的管理以及在栖息地枯竭过程(尤其是温室扩大)所威胁的地区保护生物多样性。

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