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Bioclimatology and vegetation series in Sicily: a geostatistical approach

机译:西西里的生物气候和植被系列:地统计学方法

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摘要

Tackling the Sicilian woody vegetation as a case-study, this work aims to verify the correspondence between Rivas-Martinez's bioclimatic units and the main vegetation series in the Mediterranean region. Following this approach, one macrobioclimate and 25 bioclimatic type belts can be recognized in Sicily. By means of a geostatistical analysis based on WorldClim data sets, cartographic models of the distribution range of each single bioclimatic unit were obtained and combined with vegetation data, in order to develop a new regional spatial framework, integrating climatic and vegetation data. Fidelity of each vegetation unit to a given climatic range was then evaluated as percent distribution of the occupied surface within a given bioclimatic unit, while the predictive power of the WorldClim data sets was tested by using half of the spatial data of the processed vegetation units as independent variables. Our results suggest that: (1) any kind of numerical threshold used to define bioclimatic units is not effective a priori, but only after it has been adjusted to the territory and to the spatial scale used to set the model; (2) bioclimatic indices being an empirical tool, the model can be trained and eventually adjusted when applied to different territories; (3) fidelity of vegetation units to a given bioclimatic unit is highly variable; (4) the mechanistic pitfall that climatophilous vegetation has to be necessarily linked to a single bioclimatic unit should be avoided.
机译:以西西里木本植被为例,这项工作旨在验证Rivas-Martinez的生物气候单位与地中海地区主要植被系列之间的对应关系。按照这种方法,在西西里岛可以识别出一个大型生物气候带和25个生物气候类型带。通过基于WorldClim数据集的地统计分析,获得了每个单一生物气候单元分布范围的制图模型,并将其与植被数据相结合,以开发出一个整合了气候和植被数据的新的区域空间框架。然后,将每个植被单位在给定气候范围内的保真度评估为给定生物气候单位内所占面积的百分比分布,同时,WorldClim数据集的预测能力通过使用已处理植被单位的一半空间数据作为自变量。我们的结果表明:(1)用于定义生物气候单位的任何类型的数字阈值都不是先验有效的方法,只有在将其调整到用于设置模型的区域和空间尺度之后,才有效。 (2)生物气候指数是一种经验工具,可以对模型进行训练,并在将其应用于不同地区时进行最终调整; (3)植被单位对特定生物气候单位的保真度高度可变; (4)应避免必须将气候性植被与单个生物气候单元联系起来的机械陷阱。

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