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首页> 外文期刊>Insectes Sociaux: Bulletin de l'Union Internationale pour l'Etude des Insectes Sociaux >Which is the best field method for assessing volume and surface area of arboreal termite nests?
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Which is the best field method for assessing volume and surface area of arboreal termite nests?

机译:这是评估树栖白蚁巢的体积和表面积的最佳现场方法?

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Arboreal nests of eusocial insects are typically roughly egg- or pear shaped with superficial irregularities, which makes the correct determination of their volume or surface area in the field difficult. Here, we evaluated the accuracy (benefit) of different geometric proxies with varying number of underlying measurements (cost) when assessing the volume and surface area of arboreal termite nests ofMicrocerotermes indistinctusandConstrictotermes cyphergaster. We compared size measures based on the 3D models with the most common shape models in literature: spheres (1-3 parameters), ellipsoids (3 parameters), cylinders (3 parameters), and a combination of superimposed cylinders with spherical caps (at least 9 parameters). The most complex model returned the most accurate results (low estimation error and low error variability). However, estimation errors did not differ from simpler shape models, based on only three (ellipsoids, spheres using half of the arithmetic mean of height, width and depth as radius) or even a single parameter (spheres using half of depth as radius). Cylindric proxies and spheres based on nest height or width, on the other hand, returned far less accurate results with estimation errors of up to almost 300%. Although nests ofM. indistinctusshowed a higher variation in shape and more surface irregularities than those ofC. cyphergaster, each geometric proxy tested in the present study determined the nest size of both termite species with equal precision. This suggests that each shape model may generate similarly accurate estimates of volume and surface area over a wider range of termite species that build egg-shaped arboreal nests.
机译:Eusocial昆虫的树栖巢通常是粗糙的或梨形,具有表面不规则性,这使得难以确定其体积或表面积的难度。在这里,我们评估了不同几何代理的精度(益处),不同数量的底层测量(成本)在评估indistintermes indistintussandconstrictotermes cyphergaster的植物巢穴的体积和表面积时。我们将基于3D模型的尺寸措施与文献中最常见的形状模型进行了比较:球体(1-3参数),椭圆体(3个参数),汽缸(3个参数),以及具有球形帽的叠加圆柱体的组合(至少9参数)。最复杂的模型返回最准确的结果(低估计误差和低误差变异性)。然而,估计误差与更简单的形状模型没有不同的,基于仅三个(椭球,使用高度的一半,宽度和深度为半径的一半)甚至单个参数(使用半径的一半的球体)。另一方面,基于巢高度或宽度的圆柱形代理和球体返回的估计误差高达近300%的准确结果。虽然巢穴。 Indistintuss的形状变化和比OFC更高的表面不规则。 Cyphergaster,本研究中测试的每个几何代理确定了具有相同精度的白蚁物种的巢大小。这表明每个形状模型可以在更宽范围内的葡萄球菌种类上产生类似地精确的体积和表面积估计,这些蚁巢巢穴。

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