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Predicting the potential spatial distributions of epiphytic lichen species at the landscape scale

机译:在景观尺度上预测附生地衣物种的潜在空间分布

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摘要

The potential spatial distributions of six epiphytic lichen species were assessed in Switzerland (41 000 km2) as a function of various key climatic drivers and forest types using logistic regression models. Cetrelia cetrarioides is ‘near threatened', Lobaria pulmonaria is ‘vulnerable', and Graphis scripta, Hypogymnia physodes, Lecanora cadubriae, Letharia vulpina are not endangered according to the Red List assessment based on IUCN criteria. Lichen presence and absence were derived from the SwissLichens database that contains spatially explicit information on both species presence and absence. The spatial lichen niches are predicted with R2 values between 0·5 and 0·75 and AUC values between 0·63 and 0·94. Model evaluation shows that the models perform well. Lichenologists reviewed the spatial predictions of lichen species on the basis of their expert knowledge and concluded that parsimonious regression models may suffice for successful prediction of the potential spatial niche distributions of epiphytic lichen species
机译:在瑞士(41 000 km2)使用逻辑回归模型评估了六种附生地衣物种的潜在空间分布,该分布是各种关键气候驱动因素和森林类型的函数。根据IUCN标准,根据红色清单评估,Cetrelia cetrarioides处于“近乎威胁”状态,Lobaria肺炎是“脆弱”状态,Graphis scripta,Hypogymnia physodes,Lecanora cadubriae,Letharia vulpina均未受到威胁。地衣的存在和缺乏都来自SwissLichens数据库,该数据库包含有关物种存在和缺乏的空间明确信息。预测空间地衣ni的R2值在0·5和0·75之间,而AUC值在0·63和0·94之间。模型评估表明模型表现良好。地衣学家根据其专业知识回顾了地衣物种的空间预测,并得出结论,简约回归模型可能足以成功预测附生地衣物种的潜在空间生态位分布。

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