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Application of a Kohonen's self-organizing map for evaluation of long-term changes in forest vegetation.

机译:Kohonen的自组织图在评估森林植被长期变化中的应用。

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Question: Can a Kohonen's self-organizing map, which is robust to non-linear relationships between variables and their non-normal distributions, be effective in patterning the data on plant communities investigated with the classical Braun-Blanquet phytosociological method based on the ordinal scale? Does the application of the self-organizing map make it possible to obtain new information from the analysed plant communities when compared to the Braun-Blanquet method alone? Location: The Babsk nature reserve, Central Poland. Methods: The analysed data were derived from two separate series of phytosociological studies on plant communities dating from periods 31 yr apart (1960 and 1991). The data consisted of 24 quantitative sampling lists of plant species (=phytosociological releves). The releves were analysed by the application of a Kohonen's self-organizing map and the indicator value (IndVal). Results: The transformations from Querco roboris-Pinetum to Tilio cordatae-Carpinetum betuli in the vegetation in the Babsk nature reserve over 31 yr were determined precisely. Valuable new data were also obtained on: (1) significant associations of individual plant species with the previous and recent phytocoenoses, i.e. diagnostic groups of plant species for each phytocoenosis; (2) abiotic conditions (determined retrospectively in the two study periods on the basis of ecological indicators for vascular plants); and (3) the concordance of phytocoenoses with the biotope. Conclusions: The Kohonen's self-organizing map method and the IndVal made it possible to efficiently identify abiotic and biotic patterns for plant communities on the basis of the data expressed in the conventional Braun-Blanquet scale.Digital Object Identifier http://dx.doi.org/10.1111/j.1654-1103.2012.01468.x
机译:问题:对变量及其非正态分布之间的非线性关系具有鲁棒性的Kohonen自组织图是否可以有效地对基于序数尺度的经典Braun-Blanquet植物社会学方法研究的植物群落数据进行模式化?与单独的Braun-Blanquet方法相比,自组织图的应用是否有可能从被分析的植物群落中获得新信息?地点:波兰中部巴布斯克自然保护区。方法:分析的数据来自相距31年(1960年和1991年)的植物群落的两个单独的植物社会学研究系列。数据包括24种植物物种的定量采样清单(=植物社会学学上的数据)。应用Kohonen的自组织图和指标值(IndVal)分析了这些版本。结果:精确地确定了31年以上Babsk自然保护区植被中的Querco roboris-Pinetum向Tilio cordatae-Carpinetum betuli的转化。在以下方面也获得了宝贵的新数据:(1)单个植物物种与以前和最近的植物群落的重要关联,即每种植物群落的诊断植物群; (2)非生物条件(根据维管植物的生态指标在两个研究期内进行回顾性确定); (3)植物表皮酶与生物群落的一致性。结论:Kohonen的自组织映射方法和IndVal使得可以根据常规Braun-Blanquet量表表达的数据有效识别植物群落的非生物和生物模式。数字对象标识符http://dx.doi .org / 10.1111 / j.1654-1103.2012.01468.x

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