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A multi-temporal approach to model endangered species distribution in Europe. The case of the Eurasian otter in Italy

机译:一种多时间方法来模拟欧洲濒危物种分布的多时间方法。 意大利欧亚水獭的案例

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摘要

We analyzed the relationship between changes in land cover patterns and the Eurasian otter occurrence in southern Italy over the course of approximately 20 years (1985–2006) using multi-temporal species distribution models (SDMs). The study area includes five river catchments covering most of the otter's Italian range. Land cover and topographic data were used as proxies for the ecological requirements of the otter within a 300-m buffer around river courses. We used species presence, pseudo-absence data, and environmental predictors to build past (1985) and current (2006) SDMs by applying an ensemble procedure through the BIOMOD modeling package. The performance of each model was evaluated by measuring the area under the curve (AUC) of the receiver-operating characteristic (ROC). Multi-temporal analysis of species distribution was performed by comparing the maps produced for 1985 and 2006. The ensemble procedure provided good overall modeling accuracy, revealing that elevation and slope affected the otter's distribution in the past; in contrast, land cover predictors, such as cultivations and forests, were more important in the present period. During the transition period, 20.5% of the area became suitable, with 76% of the new otter presence data being located in these newly available areas. The multi- temporal analysis suggested that the quality of otter habitat improved in the past 20 years due to the expansion of forests and to the reduction of cultivated fields in riparian belts. This evidence stresses the great potential of riverine habitat restoration and environmental management in supporting the future expansion of the otter in Italy.
机译:我们在大约20年(1985-2006)使用多临时物种分布模型(SDMS),分析了意大利南部南部地区变化与意大利欧亚水獭发生之间的关系。研究区包括五个河流集水区,涵盖了大部分水獭的意大利范围。陆地覆盖和地形数据被用作河流课程300米缓冲区内输电机的生态需求的代理。我们使用物种存在,伪缺失数据和环境预测因子来通过使用BioMod建模包应用集合程序来构建过去(1985)和电流(2006)SDMS。通过测量接收器操作特征(ROC)的曲线(AUC)下的区域来评估每个模型的性能。通过比较1985年和2006年生产的地图进行物种分布的多时间分析。集合程序提供了良好的整体建模精度,揭示了海拔和坡度影响了过去的水獭的分布;相比之下,陆地覆盖预测因子,如栽培和森林,在本期更重要。在过渡期间,该区域的20.5%是合适的,76%的新型水獭存在数据位于这些新可用区域中。多时间分析表明,由于森林的扩张和河岸培养的耕地减少,过去20年来改善了水獭栖息地的质量。这证据强调了河流栖息地恢复和环境管理的巨大潜力,支持在意大利的Otter未来扩张。

著录项

  • 来源
    《Ecological Modelling》 |2014年第null期|共8页
  • 作者单位

    Envix-Lab Department of Biosciences and Territory University of Molise C.da Fonte Lappone I-86090 Pesche IS Italy;

    Department of Ecology and Evolution University of Lausanne CH-1015 Lausanne Switzerland;

    Department of Ecology and Evolution University of Lausanne CH-1015 Lausanne Switzerland;

    IMAA Italian National Research Council – CNR C.da S.ta Loja I-85050 Tito PZ Italy;

    Envix-Lab Department of Biosciences and Territory University of Molise C.da Fonte Lappone I-86090 Pesche IS Italy;

    Envix-Lab Department of Biosciences and Territory University of Molise C.da Fonte Lappone I-86090 Pesche IS Italy;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境生物学;
  • 关键词

    Multitemporal species distribution; modeling; Otter; Italy;

    机译:多发性物种分布;建模;水獭;意大利;

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