Results 201 to 210 of about 5,322 (252)

Rhopalocera Diversity in Ranga Reserve Forest, Lakhimpur, Assam: A Seasonal Perspective

Biological Diversity and Conservation
A detailed study on butterfly diversity was conducted in the Ranga Reserve Forest, Assam, India, between March 2021 and June 2022. Over the course of the research, 225 species of butterflies, belonging to 131 genera and six different families, were ...
Monish Kumar Thapa, Sourav Dutta, H. J. Das, T. Pradhan, Debajit Mahanta, Sujal Tossa, Ritu Kalita, Kamal Sharma, T. Sheikh   +8 more
semanticscholar   +1 more source

RICHNESS AND BIODIVERSITY OF BUTTERFLIES (LEPIDOPTERA: RHOPALOCERA) IN DISTRICTS OF BIHAR, INDIA

Annals of Entomology
The present study reflects the richness and diversity of butterflies in the districts of Bihar. During the survey, 52 species of butterflies were recorded in the seven districts of Bihar, India: Banka, Bhagalpur, Jamui, Lakhisarai, Munger, Katihar, and ...
B. Bharat, Md. Equbal Ahmad
semanticscholar   +1 more source

The butterfly (Lepidoptera, Rhopalocera) abundance of meadow ecosystems in the southern taiga

Theoretical and Applied Ecology
The article considered the structure of butterfly abundance, based on the ratio of the butterfly adults number in the meadow ecosystems in the Kirov Region southern taiga.
A. V. Mazeeva, A. Tatarinov, O. Kulakova
semanticscholar   +1 more source

Species diversity and abundance of butterflies (Lepidoptera: Rhopalocera) in Lata Hokkaido, Jeli, Kelantan

BIO Web of Conferences
Butterflies (Lepidoptera: Rhopalocera) serve as vital bioindicators for terrestrial environments and habitat quality, making them critical in biological monitoring and conservation efforts.
Irene Christianus, Muhamad Nizam Ismail, Aainaa Amir, Farah Khaliz Kedri, N. S. Sukri   +4 more
semanticscholar   +1 more source

Butterfly fauna (Lepidoptera: Rhopalocera) in and around Hirpora Wildlife Sanctuary, Shopian Kashmir, J&K UT, India

Biological Diversity and Conservation, 2022
Hirpora Doğal Hayatı Koruma Alanı ve ve bölge çevresindeki farklı habitatlardan toplanan kelebek örnekleri (Lepidoptera: Rhopalocera) sunulmuştur. Kutsal alan, Keşmir'in Shopian Bölgesi'nin güney yamacındaki Pir Panjal sıradağlarının (İç Himalayalar ...
Muzafar Riyaz
semanticscholar   +1 more source

???????????????????? ?????????????????????? (Lepidoptera, Rhopalocera) ?????????????????????? ???????????????????????????????? ??????????????????????

2023
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  +6 more sources

Species richness and dispersion patterns of Lepidoptera (Rhopalocera) in the Nuraksa Forest Park, Lombok, Indonesia

Biodiversitas Journal of Biological Diversity
. Ilhamdi ML, Idrus AA, Santoso D, Hadiprayitno G, Syazali M, Hariadi I. 2023. Species richness and dispersion patterns of Lepidoptera (Rhopalocera) in the Nuraksa Forest Park, Lombok, Indonesia. Biodiversitas 25: 62-70.
M. L. Ilhamdi, Agil Al Idrus, D. Santoso, G. Hadiprayitno, Muhammad Syazali, Ismawan Hariadi   +5 more
semanticscholar   +1 more source

Diversity and richness of day Butterflies species (Lepidoptera: Rhopalocera) in the Chettaba Forest, Constantine, Northeastern Algeria

Biodiversitas Journal of Biological Diversity, 2022
. Frahtia K, Attar MR, Diabi C. 2022. Diversity and richness of day butterflies species (Lepidoptera Rhopalocera) in the Chettaba Forest, Constantine, Northeastern Algeria. Biodiversitas 23: 3429-3436.
K. Frahtia, Mohamed Ramzy Attar, Chakib Diabi   +2 more
semanticscholar   +1 more source

Survey of the butterflies (Lepidoptera: Rhopalocera) species of the northern coast of East Java, Indonesia

International Journal of Tropical Drylands
. Arof AS, Barbosa FF. 2024. Survey of the butterflies (Lepidoptera: Rhopalocera) species of the northern coast of East Java, Indonesia. Intl J Trop Drylands 8: 83-94.
Agus Shoumul Arof, Felipe Francisco Barbosa   +1 more
semanticscholar   +1 more source

Efficient Approach for Rhopalocera Classification Using Growing Convolutional Neural Network

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2022
In the present times, artificial-intelligence based techniques are considered as one of the prominent ways to classify images which can be conveniently leveraged in the real-world scenarios.
Iqbaldeep Kaur, L. Goyal, Adrija Ghansiyal, D. J. Hemanth   +3 more
semanticscholar   +1 more source