Avifaunal Diversity along the Riverine Habitats of Papikonda National Park, Andhra Pradesh, India
Journal of Threatened Taxa(2020)
Abstract
This study was carried out to record the avifaunal diversity of the riverine habitats along the Godavari River in Papikonda National Park, during a short survey conducted from 2017 to 2018. A total of 63 bird species belonging to 25 families were recorded during the survey. The study resulted in the recording of eight globally threatened avian species including the Endangered Black-bellied Tern Sterna acuticauda, and seven Near Threatened species, viz.: Painted Stork Mycteria leucocephala, Black-headed Ibis Threskiornis melanocephalus, Great Thick Knee Esacus recurvirostris, River Lapwing Vanellus duvaucelli, Malabar Pied Hornbill Anthracoceros coronatus, Grey-headed Fish Eagle Haliaeetus ichthyaetus, and Oriental Darter Anhinga melanogaster. Species including Black-bellied Tern Sterna acuticauda, Grey-headed Fish Eagle Haliaeetus ichthyaetus, Indian Eagle-owl Bubo bengalensis, and Black Eagle Ictinaetus malaiensis were recorded for the first time along the riverine habitats of Papikonda National Park. Sand mining of the riverbed and discharge of effluents into the Godavari River has already negatively impacted the associated habitats and avifaunal diversity.
MoreTranslated text
PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Try using models to generate summary,it takes about 60s
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Related Papers
Avian Species Diversity in Three Major Forest Types in Part of Northern Eastern Ghats, Odisha, India
ORNITHOLOGY RESEARCH 2023
被引用1
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
GPU is busy, summary generation fails
Rerequest