Collected and observed Noctuoidea specimens from Mizoram

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 168 records.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

Hnialum M (2025). Collected and observed Noctuoidea specimens from Mizoram. Version 1.17. Biodiversity Data Journal. Occurrence dataset. https://ipt.pensoft.net/resource?r=collected_specimens_mizoram_noctuoidea&v=1.17

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is Biodiversity Data Journal. This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: f8f66f03-92bb-47bc-9892-5656c124b757.  Biodiversity Data Journal publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Participant Node Managers Committee.

Keywords

Occurrence; Noctuoidea; Mizoram; Indo-Myanmar; India

Contacts

Geographic Coverage

Mizoram, Located in the country of India. Set in the foothills of the Himalyas and the Indo-Myanmar biodiversity hotspot

Taxonomic Coverage

All the moths were identified at the species level. All specimens fall under the superfamily Noctuoidea.

Temporal Coverage

Project Data

The aims of the research were to study the elevational trends of diversity of Noctuoid moths in mizoram and to study their adherence to Rapoport’s rule

The personnel involved in the project:

Sampling Methods

Sampling Locations: 25 sites across Mizoram, chosen to represent different elevations and forest types. Collection Method: Light trapping using 160 W mercury vapor lamps and white sheet traps (10×15 ft). Light traps were operated from dusk until dawn to maximize moth attraction. Specimen Handling: Captured moths were collected and preserved for morphological identification. Identification was performed based on external morphology and genitalia dissection using a Leica M205A stereo microscope. Photographic Documentation: High-resolution images of each specimen were taken using a Canon EOS 5D Mark IV with a 100mm macro lens. Data Recording: For each specimen, date, time, altitude, GPS coordinates, and habitat details were recorde

Method step description:

1. 1. Study Extent The study focused on the elevational diversity of Noctuoidea (Lepidoptera) in Mizoram, India. Sampling covered 25 locations across different altitudinal zones (0–2,157 m a.s.l.), representing tropical, subtropical, and montane forest types. The goal was to examine species richness, elevational range sizes, and adherence to Rapoport’s rule. 2. Sampling Description 2.1 Site Selection Sites were chosen to represent a range of elevations and vegetation types. GPS coordinates were recorded at each location to ensure spatial accuracy. 2.2 Collection Method Light trapping method: Used 160 W mercury vapor lamps with a white sheet (10×15 ft) as the light source. Traps were set up before sunset and operated until dawn to maximize moth attraction. Sampling was conducted under similar weather and moonlight conditions to minimize bias. Specimen collection and preservation: Moths were manually collected from the sheet using forceps. Specimens were temporarily stored in plastic vials with ethyl acetate for immobilization. After identification, voucher specimens were preserved in dry-mounted condition or in 95% ethanol for further study. 2.3 Identification & Data Recording Morphological Identification: Specimens were identified based on external morphology and genitalia dissection using a Leica M205A stereo microscope. Reference to standard taxonomic literature was made to confirm species identity. Photographic Documentation: High-resolution images of specimens were captured using a Canon EOS 5D Mark IV with a 100mm macro lens. Metadata Recording: Each specimen was assigned occurrence data, including: Date & Time of collection Altitude & GPS coordinates (recorded via a high-accuracy GPS device) Habitat description 3. Quality Control 3.1 Taxonomic Validation Specimen identification was cross-checked with available literature and validated by taxonomic experts. Any ambiguous identifications were flagged for further verification. 3.2 Data Standardization Data was formatted according to Darwin Core (DwC) standards for seamless integration into GBIF. Records were checked for: Duplicate entries Incorrect taxonomic names (matched with authoritative sources) Geospatial inconsistencies (GPS points verified for accuracy) 3.3 Error Checking Before Submission Occurrence records were validated using GBIF data validation tools before final upload. Manual review ensured that missing values, format inconsistencies, or erroneous coordinates were corrected.

Additional Metadata