Description
Enregistrements de données
Les données de cette ressource occurrence ont été publiées sous forme d'une Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant qu'ensemble d'un ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 168 enregistrements.
Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.
Versions
Le tableau ci-dessous n'affiche que les versions publiées de la ressource accessibles publiquement.
Comment citer
Les chercheurs doivent citer cette ressource comme suit:
Hnialum M (2025). Collected and observed Noctuoidea specimens from Mizoram. Version 1.34. Biodiversity Data Journal. Occurrence dataset. https://ipt.pensoft.net/resource?r=collected_specimens_mizoram_noctuoidea&v=1.34
Droits
Les chercheurs doivent respecter la déclaration de droits suivante:
L’éditeur et détenteur des droits de cette ressource est Biodiversity Data Journal. Ce travail est sous licence Creative Commons Attribution Non Commercial (CC-BY-NC) 4.0.
Enregistrement GBIF
Cette ressource a été enregistrée sur le portail GBIF, et possède l'UUID GBIF suivante : f8f66f03-92bb-47bc-9892-5656c124b757. Biodiversity Data Journal publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du Participant Node Managers Committee.
Mots-clé
Occurrence; Noctuoidea; Mizoram; Indo-Myanmar; India
Contacts
- Personne De Contact
- Personne De Contact
Couverture géographique
Mizoram, Located in the country of India. Set in the foothills of the Himalyas and the Indo-Myanmar biodiversity hotspot
| Enveloppe géographique | Sud Ouest [22,529, 92,426], Nord Est [24,491, 93,391] |
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Couverture taxonomique
All the moths were identified at the species level. All specimens fall under the superfamily Noctuoidea.
| Kingdom | Animalia |
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Couverture temporelle
| Date de début / Date de fin | 2024-04-11 / 2024-07-18 |
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Données sur le projet
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
| Titre | Alpha diversity with increasing altitude and Rapoport’s rule adherence: Elevational trends in Noctuoidea (Lepidoptera) of Mizoram, India |
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| Identifiant | Noctuoidea survey of Mizoram |
| Financement | The study was self funded byt the authors |
| Description du domaine d'étude / de recherche | Mizoram, located in northeastern India, lies between 21.967°N to 24.583°N latitude and 92.267°E to 93.433°E longitude. It shares international borders with Myanmar to the east and south and Bangladesh to the west, while domestically, it is bordered by Tripura, Assam, and Manipur. The state is characterized by a rugged, mountainous landscape with parallel north-south running ranges, deep valleys, and riverine systems. The elevation varies from 40 m to over 2,100 m above sea level, with Phawngpui (Blue Mountain) being the highest peak at 2,157 m. Mizoram experiences a subtropical to tropical monsoon climate, with high annual rainfall and dense evergreen and semi-evergreen forests, making it a biodiversity-rich region. The region falls within the Indo-Burma biodiversity hotspot, supporting diverse flora and fauna, including many endemic and threatened species. |
| Description du design | This study was designed to assess the alpha diversity and elevational distribution of noctuoid moths in Mizoram, India, across a range of altitudes, from 0 to 2,157 m a.s.l. The research aimed to investigate patterns of species richness and adherence to Rapoport’s rule, which predicts a positive correlation between altitude and species range size. Study Approach: Sampling Locations: 25 sites across different altitudes in Mizoram, covering tropical, subtropical, and montane forests. Collection Methods: Light trapping using 160 W mercury vapor lamps and white sheet traps (10×15 ft). Identification: Morphological identification and genitalia examination using Leica M205A stereo microscope. Data Analysis: Species diversity was analyzed using Hill numbers (q = 0, 1, 2), and Rapoport’s rule was tested using Stevens', Rohde’s, Pagel’s, and cross-species methods. Significance: The study contributes to understanding biodiversity distribution patterns in the Indo-Myanmar biodiversity hotspot, with implications for conservation and ecological research. |
Les personnes impliquées dans le projet:
https://orcid.org/https://orcid.org/0009-0000-5458-3764
Méthodes d'échantillonnage
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
| Etendue de l'étude | This study investigated the alpha diversity and elevational distribution of noctuoid moths across 25 locations in Mizoram, India, covering an altitude range from 0 to 2,157 m above sea level. The study area includes tropical evergreen forests, moist deciduous forests, subtropical forests, and montane pine forests. Sampling was conducted during the peak moth activity period, covering various environmental conditions to ensure comprehensive data collection. |
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| Contrôle qualité | Taxonomic Validation: Specimens were identified using standard taxonomic keys and cross-verified with authoritative literature. Uncertain identifications were reviewed by taxonomic experts. Georeferencing Accuracy: GPS coordinates were recorded using a high-accuracy GPS device, with errors minimized through manual verification. Data Standardization: The dataset follows Darwin Core (DwC) standards to ensure compatibility with GBIF requirements. Data was checked for duplicate records, missing values, and formatting inconsistencies before submission. |
Description des étapes de la méthode:
- 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.
Métadonnées additionnelles
| Remerciements | This study was self-funded by the authors. We acknowledge Tamil Nadu Agricultural University (TNAU), Coimbatore, India, for providing research facilities for specimen identification and data analysis. We thank local field assistants and forest officials in Mizoram for their support during fieldwork. We also extend our gratitude to taxonomic experts who assisted in species identification and validation. |
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| Introduction | <p class="MsoNormal">The Noctuoidea (Lepidoptera) superfamily comprises approximately 43,000 species worldwide, many of which play crucial ecological roles as pollinators, herbivores, and prey species. Despite their ecological significance, limited research has been conducted on noctuoid moth diversity in the Indo-Myanmar biodiversity hotspot, particularly in Mizoram, India. |
| Premiers pas | <p class="MsoNormal">This dataset consists of occurrence records for 42 species of noctuoid moths from three families (Erebidae, Noctuidae, and Nolidae). The data were collected using standardized light trapping methods and processed following taxonomic best practices. This dataset is designed for biodiversity researchers, conservationists, and ecologists, and it can be used for meta-analyses, ecological modeling, and conservation planning. |
| Objet | <p class="MsoNormal">This dataset provides occurrence records of noctuoid moths collected across different altitudes in Mizoram, India, an area within the Indo-Myanmar biodiversity hotspot. The purpose of the dataset is to document alpha diversity and the elevational distribution of moth species, contributing to the understanding of biodiversity patterns along an altitudinal gradient. This dataset also evaluates the applicability of Rapoport’s rule, which predicts that species' range sizes increase with elevation. |
| Identifiants alternatifs | f8f66f03-92bb-47bc-9892-5656c124b757 |
| https://ipt.pensoft.net/resource?r=collected_specimens_mizoram_noctuoidea |