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Modified Pollard transects for assessing tropical butterfly abundance and diversity

机译:修改的可原动动物横断性评估热带蝴蝶丰富和多样性

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This paper introduces and discusses the consistency and effectiveness of an inexpensive modification of Pollard transects for assessing the diversity and abundance of tropical butterfly communities in two national parks in Rio de Janeiro, Brazil. To measure butterfly abundance, students walked simultaneous timed transects at the interface of forest and cleared areas. They either counted the number of individuals observed or tabulated the number of specimens collected with nets. After a short training period, the number of butterflies observed or collected on simultaneous transects was statistically indistinguishable among student groups, and there was a significant positive correlation between observation counts and collected number of individuals. As a measure of species richness, the number of butterfly species sampled on each simultaneous transect was tabulated and did not differ statistically. To measure diversity, alpha of the logseries model was calculated for each collected sample, and statistical fit to a logseries model was determined. Although virtually all daily samples and the year's accumulated sample at one park fit the logseries model, about 35% of the daily samples and the entire year's sample did not fit at the other park. Despite these differences between the two parks, values for alpha from daily samples at both parks varied similarly (from 15 to 50 in almost all cases), and values from the entire year's samples were statistically indistinguishable. The repeatability of results among novices, such as students, suggests that timed transects have great promise for furthering our understanding of butterfly community demographics.
机译:本文介绍并讨论了对巴西里约热内卢的两个国家公园中的热带蝴蝶社区的多样性和丰度和丰富的可原动性修改的一致性和有效性。为了测量蝴蝶丰富,学生在森林和清除区域的界面上进行同时定时横断面。它们要么数量观察到的个体数目或表格用网收集的标本数量。在训练期短暂之后,在同时横断面观察或收集的蝴蝶的数量在学生群体中统计学难以区分,观察计数与收集的个人数量之间存在显着的正相关。作为物种丰富度的衡量标准,在每次同时横断后采样的蝶形物种的数量表明并没有统计学差异。为了测量多样性,针对每个收集的样本计算日志饲料模型的Alpha,并确定对Logseries模型的统计拟合。虽然几乎所有日常样品和一年的累计样本都适合Logseries模型,但大约35%的日样样本和整年的样本不适合另一个公园。尽管两个公园之间存在这些差异,但两个公园的日常样品的alpha的值类似地(几乎所有情况下的15到50),并且整年样本的价值在统计上无法区分。在新手之类的新手之类的结果的可重复性表明,在进一步了解我们对蝴蝶社区人口统计数据的理解方面具有很大的承诺。

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