Diversity of geometrid moths (Lepidoptera: Geometroidea) from northernmost Western Ghats of Maharashtra, India, with notes on range extension.

Записи данных

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Как оформить ссылку

Исследователи должны дать ссылку на эту работу следующим образом:

Gurule S A, Rajput J A, Shere-Kharwar A S (2025). Diversity of geometrid moths (Lepidoptera: Geometroidea) from northernmost Western Ghats of Maharashtra, India, with notes on range extension.. Version 1.1. Gokhale Education Society. Occurrence dataset. https://cloud.gbif.org/asia/resource?r=geometridae&v=1.1

Права

Исследователи должны соблюдать следующие права:

Публикующей организацией и владельцем прав на данную работу является Gokhale Education Society. Эта работа находится под лицензией Creative Commons Attribution Non Commercial (CC-BY-NC 4.0).

Регистрация в GBIF

Этот ресурс был зарегистрирован в GBIF, ему был присвоен следующий UUID: 129dd4e0-6453-43de-ad3f-174929e772a0.  Gokhale Education Society отвечает за публикацию этого ресурса, и зарегистрирован в GBIF как издатель данных при оподдержке Participant Node Managers Committee.

Ключевые слова

Occurrence; Diversity; Moths; Geometroidea; Western Ghats; Range extension

Контакты

Географический охват

The dataset covers a geographic range extending from the northernmost point at 20.3911° N, 73.9167° E to the southernmost point at 19.5290° N, 73.7500° E, and from the easternmost point at 20.3817° N, 74.0300° E to the westernmost point at 20.1036° N, 73.3883° E.

Таксономический охват

Описание отсутсвует

Временной охват

Данные проекта

We present the first comprehensive checklist of geometrid moths from the northernmost Western Ghats of Maharashtra, India a biogeographically significant yet underexplored region. Surveys conducted across eight localities between 2022 and 2024 recorded 286 individuals representing 77 species and 9 genus-level morphotypes within the superfamily Geometroidea. These taxa span 46 genera, 20 tribes, and 7 subfamilies under two families, namely Geometridae (73 species) and Uraniidae (4 species). Sampling was carried out across an elevational gradient of 309–1243 m asl using non-invasive light-sheet methods supplemented with opportunistic photographic observations. The most species-rich subfamilies were Ennominae (29 species), Sterrhinae (22 species), and Geometrinae (17 species). Genera such as Scopula, Chiasmia, and Comibaena were frequently encountered, indicating ecological generalism and strong phototactic behavior. Notably, three species—Idaea protensa, Cleora cornaria, and Ophthalmitis herbidaria—are reported for the first time from Peninsular India, thus extending their known distributional ranges. In addition, range extensions of eight species to the northernmost Western Ghats in Maharashtra and a total of thirty species to the northern Western Ghats were recorded.

Исполнители проекта:

Методы сбора

Random sampling was carried out between July 2021 and February 2024 across 10 sites in the northernmost Western Ghats of Maharashtra (309–1243 m asl). Moths were primarily sampled using a non-invasive light-sheet method (mercury vapor and UV lights), supplemented by opportunistic photographic observations. Randomized temporal and habitat-based sampling ensured broad representation of species diversity with minimal collection bias.

Описание этапа методики:

1. Step 1: The moth was collected from multiple sites based on habitat variation and accessibility i.e Kalmuste, Belgaon Dhaga, Saptashrungi Vani, Kalsubai, Kasara, Peth, Waghere Harsul, for morphological and molecular (DNA barcoding) studies for biodiversity assessment.
2. Step 2: Light traps, LepiLed, and sweep nets was used for nocturnal moth collection.
3. Step 3: Moths were captured in bottles, and each specimen was labelled with locality, date, and collection code.
4. Step 4: Specimens were spread, and preserved using entomological pins, and stored in insect boxes to maintain and to avoid contamination or degradation naphthalene balls were placed for identification purpose.
5. Step 5: Each specimen had detailed metadata: Locality, Date, time of collection Environmental conditions (temperature, humidity, weather), Collector’s name or team, for accurate analysis.
6. Step 6: Meta Data All metadata and specimen information were entered into a excels sheet. Repeated entries and errors were checked for statistical analysis or publication.

Дополнительные метаданные