Department of Biosystems Technology, Faculty of Technology, South Eastern University of Sri Lanka, University Park, Oluvil, Sri Lanka.
Institute of Biological Science, Faculty of Science, University of Malaya, Kuala Lumpur, Malaysia.
PLoS One. 2022 Mar 31;17(3):e0266076. doi: 10.1371/journal.pone.0266076. eCollection 2022.
Biodiversity research relies largely on knowledge about species responses to environmental gradients, assessed using some commonly applied sampling method. However, the consistency of detected responses using different sampling methods, and thus the generality of findings, has seldom been assessed in tropical ecosystems. Hence, we studied the response consistency and indicator functioning of beetle assemblages in altitudinal gradients from two mountains in Malaysia, using Malaise, light, and pitfall traps. The data were analyzed using generalized linear mixed-effects models (GLMM), non-metric multidimensional scaling (NMDS), multivariate regression trees (MRT), and indicator species analysis (IndVal). We collected 198 morpho-species of beetles representing 32 families, with a total number of 3,052 individual beetles. The richness measures generally declined with increasing altitude. The mountains differed little in terms of light and Malaise trap data but differed remarkably in pitfall-trap data. Only light traps (but not the other trap types) distinguished high from middle or low altitudes in terms of beetle richness and assemblage composition. The lower altitudes hosted about twice as many indicators as middle or high altitudes, and many species were trap-type specific in our data. These results suggest that the three sampling methods reflected the altitudinal gradient in different ways and the detection of community variation in the environment thus depends on the chosen sampling method. However, also the analytical approach appeared important, further underlining the need to use multiple methods in environmental assessments.
生物多样性研究在很大程度上依赖于对物种对环境梯度的反应的了解,这是通过一些常用的采样方法来评估的。然而,在热带生态系统中,很少评估使用不同采样方法检测到的反应的一致性,以及因此发现的普遍性。因此,我们使用玛氏陷阱、灯光和陷阱陷阱研究了来自马来西亚的两座山上的海拔梯度中甲虫组合的反应一致性和指示物种功能。使用广义线性混合效应模型 (GLMM)、非度量多维尺度 (NMDS)、多元回归树 (MRT) 和指示物种分析 (IndVal) 对数据进行了分析。我们收集了代表 32 个科的 198 种形态物种的甲虫,共有 3052 个个体甲虫。丰富度指标通常随海拔升高而降低。这两座山在灯光和玛氏陷阱数据方面差异不大,但在陷阱数据方面差异显著。只有灯光陷阱(而不是其他类型的陷阱)可以根据甲虫丰富度和组合组成将高海拔与中海拔或低海拔区分开来。低海拔地区的指示物种数量大约是中海拔或高海拔地区的两倍,而且在我们的数据中,许多物种是特定于陷阱类型的。这些结果表明,这三种采样方法以不同的方式反映了海拔梯度,并且对环境中群落变化的检测取决于所选的采样方法。然而,分析方法似乎也很重要,进一步强调了在环境评估中使用多种方法的必要性。