Dataset for moth abundance, diversity and climate-lag analysis in a semi-natural campus ecosystem in Bangladesh
Description
This dataset supports a study of moth diversity and lag-dependent climatic associations with moth abundance in a semi-natural campus ecosystem in Bangladesh. Moths were sampled at Jahangirnagar University campus, Savar, Dhaka, from May 2025 to April 2026, using ultraviolet light traps operated for 20 hours per month across eight habitat sites representing open playgrounds, forest patches, lake edges, grassland and semi-urban vegetation. The dataset contains 1,119 individuals belonging to 123 species, 84 genera, 31 subfamilies and 12 families, collected over 48 collection events. Species identifications were screened against the GBIF Backbone Taxonomy and supporting Lepidoptera databases, with high-confidence spelling and family-placement corrections applied. Included tables cover: sampling site locations and habitat descriptions; the taxonomy-screened species checklist with abundance values; family-level richness and abundance summaries; monthly and seasonal abundance; diversity, richness and evenness indices (Shannon–Wiener, Simpson, Margalef, Menhinick, Pielou); daily climate observations (temperature, relative humidity, precipitation); and a collection-event-aggregated climate table used as input for a distributed lag non-linear model (DLNM). An independently runnable R script (dlnm_reconstruction.R) is provided to reproduce the Poisson DLNM analysis, including cross-basis construction for temperature, humidity and precipitation, likelihood-ratio tests of overall climatic associations, model diagnostics, and lag-response surface plots. The script requires R 4.4 or later and the CRAN package dlnm (version 2.4.10). All files are provided as UTF-8 CSV for broad reuse in R, Python, spreadsheet software, and other statistical packages, accompanied by a data dictionary describing every file and variable.
Files
Institutions
- Jahangirnagar UniversityDhaka Division, Dhaka