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Detectability of species of Carex varies with abundance, morphology, and site complexity

机译:Carex种类的可检测性因丰富,形貌和现场复杂而异

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Questions Are graminoids more poorly detected than other life forms of vascular plants in surveys? How well do observer-, species-, and site-specific variables explain variation in detection of Carex species across forests of different structure? Location Northeastern Alberta, Canada. Methods Species inventories were assessed within 50 belt transects, each 100 m in length and 2 m in width. Pseudoturnover was estimated for four life forms and all encountered species. Site-specific factors were then compared with pseudoturnover of all vascular plants and graminoids using generalized linear regression. Carex detection probabilities were compared based on morphological groups. Detection success at a site and delays in detection within a site were assessed using logistic regression with AIC used to rank a-priori hypotheses and standardized variables used to determine effect sizes of parameters related to plant detectability. Results Pseudoturnover for graminoids was similar to that for other life forms and best related to ground layer cover. Morphological groups related to differences in detection, with short, small-inflorescence Carex most poorly detected. Detection failure was best explained by species abundance and morphology, but delays were more tied to a site's vegetation structure and species abundance than to species morphology. Conclusions Surveys targeting graminoids, including species of Carex, can achieve high detection rates with high survey effort over small areas, but should consider species- and site-specific biases in detection success. Abundance is likely the most influential factor in determining detection success, and this must be accounted for when searching for low-density species. We recommend that increased effort (time, repeat observations) be applied when searching for morphologically small graminoids.
机译:麦片曲面是检测到的血管植物的其他血管植物中的麦克风素吗?观察者,物种和特定的变量如何解释不同结构森林森林的检测的变化?位置东北艾伯塔,加拿大。方法在50带横断面内进行评估物种库存,每次100米长,宽度为2米。伪责任估计四种生命形式和所有遇到的物种。然后使用广义线性回归与所有血管植物和禾本科的伪损伤的特定因子进行比较。基于形态组进行比较Carex检测概率。使用逻辑回归对网站内的检测成功和在网站内的检测延迟进行评估,用于对用于确定与工厂可检测性有关的参数的效果大小的效果大小的AIC进行评级。结果禾本科对其他生命形式和与地层盖的最佳相关的结果类似于该蛋白质。与检测差异有关的形态组,短,小花序护克最差检测到。物种丰富和形态最好解释检测失败,但延迟与场地的植被结构和物种丰富的延误比物种形态更具统治。结论调查靶向禾本科(包括Carex),可以在小区的高调查工作中实现高度检测率,但应考虑在检测成功方面的物种和特异性偏见。丰度可能是确定检测成功的最有影响力的因素,并且必须在寻找低密度物种时占据这一点。我们建议在寻找形态学上的小禾本科时增加努力(时间,重复观察)。

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