Evidence map›Paper›PMID 37367366›Full record

ArticleInsects2023

Geography of Indian Butterflies: Patterns Revealed by Checklists of Federal States.

Gaurab Nandi Das, Zdenek Faltynek Fric, Shristee Panthee, Jatishwor Singh Irungbam, Martin Konvicka

Abstract read
In one paragraph

Article in Insects, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Gaurab Nandi DasFaculty of Sciences, University of South Bohemia, 370 05 České Budějovice, Czech Republic.ORCID 0000-0002-4722-3100
Zdenek Faltynek FricBiology Centre CAS, Institute of Entomology, 370 05 České Budějovice, Czech Republic.ORCID 0000-0002-3611-8022
Shristee PantheeCAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla 666303, China.ORCID 0000-0002-9111-1747
Jatishwor Singh IrungbamSphingidae Museum, Orlov, 261 01 Pribram, Czech Republic.
Martin KonvickaFaculty of Sciences, University of South Bohemia, 370 05 České Budějovice, Czech Republic.

Funding

Grant Agency of the University of South Bohemia 100/2022/P
6 · The paper itself

Abstract

Butterflies are widely used to analyze biogeographical patterns, both at the global and regional scales. Thus far, most of the latter originated from well-surveyed northern regions, while the species-rich tropical areas lag due to a lack of appropriate data. We used checklists of 1379 butterfly species recorded in 36 federal states of the Republic of India (1) to explore the basic macroecological rules, and (2) to relate species richness and the distribution of endemics and geographic elements to geography, climate, land covers and socioeconomic conditions of the states. The area, land covers diversity and latitude did not affect species richness, whereas topographic diversity and the precipitation/temperature ratio (energy availability) were positive predictors. This is due the geographic and climatic idiosyncrasies of the Indian subcontinent, with its highest species richness in the small, densely forested mountainous northeast that receives summer monsoons. The peninsular effect that decreases the richness towards the tip of subcontinent is counterbalanced by the mountainous forested Western Ghats. Afrotropical elements are associated with savannahs, while Palearctic elements are associated with treeless habitats. The bulk of Indian butterfly richness, and the highest conservation priorities, overlap with global biodiversity hotspots, but the mountainous states of the Western Himalayas and the savannah states of peninsular India host distinctive faunas.

Indexed as

biogeographic elementsclimatefaunal turnoverlatitudinal gradientOriental realmpeninsular effect

Identifiers

PMID37367366
PMCPMC10299651

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.