Scalercio Stefano, Di Marco Carlo, Puletti Nicola
Council for Agricultural Research and Economics, Research Centre for Forestry and Wood, Via Settimio Severo 83, Rende I-87036, Italy.
Council for Agricultural Research and Economics, Research Centre for Forestry and Wood, Viale Santa Margherita 80, Arezzo I-52100, Italy.
Data Brief. 2022 Jan 28;41:107882. doi: 10.1016/j.dib.2022.107882. eCollection 2022 Apr.
In this paper we provide a georeferenced dataset of raw data concerning occurrence and abundance of nocturnal macrolepidoptera, an insect group largely recognized as a good ecological indicator of forest ecosystems. Data have been collected by using light traps located in 15 beech and 20 Calabrian black pine forest lots, 20 of which included in Natura 2000 sites. The sampling was carried out monthly lasting from May to late October 2019 and 2020 in order to cover the entire period during which favourable conditions for adult monitoring occurred, and to encompass phenological changes occurring across seasons in moth diversity. The dataset is composed by a total of 42,834 individuals belonging to 363 species. Due to the relatively small attractive radius of used light traps (about 25 m), georeferenced lepidopteran data can be easily correlated to any kind of spatial environmental variables and forest attributes and to their temporal variations being useful to quantify also the effects of long-term ecological drivers.
在本文中，我们提供了一个关于夜间大型鳞翅目昆虫出现情况和数量的地理参考原始数据集，该昆虫群体在很大程度上被认为是森林生态系统良好的生态指标。数据是通过设置在15个山毛榉林地块和20个卡拉布里亚黑松林地块中的诱虫灯收集的，其中20个地块位于“2000自然网络”（Natura 2000）保护区内。采样于2019年和2020年的5月至10月下旬每月进行一次，以涵盖成虫监测的整个有利时期，并包含蛾类多样性随季节发生的物候变化。该数据集共有42834个个体，分属于363个物种。由于所用诱虫灯的吸引半径相对较小（约25米），地理参考的鳞翅目昆虫数据可以很容易地与任何类型的空间环境变量、森林属性及其时间变化相关联，这对于量化长期生态驱动因素的影响也很有用。
