Evidence map›Paper›PMID 39738588›Full record

ArticleScientific reports2024

Predicting the potential distribution of stingless bee, Tetragonula iridipennis in India using MaxEnt and CMIP6 climate projections.

V Karuppaiah, R Maruthadurai, Bappa Das, P S Soumia, Ankush Gadge, Chandrashekhar Pote, Dhananjay Shirsat, Trupti Pandit, Sanket Sawant, S V Ramesh and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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4 · The record

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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

11 authors.

V KaruppaiahICAR-Directorate of Onion and Garlic Research, Rajgurunagar, Pune, Maharashtra, 410 505, India. karuppaiahv2008@gmail.com.
R MaruthaduraiICAR-Central Coastal Agricultural Research Institute, Ela, Old Goa, Goa, 403 402, India. duraiento@gmail.com.
Bappa DasICAR-Central Coastal Agricultural Research Institute, Ela, Old Goa, Goa, 403 402, India.
P S SoumiaICAR-Directorate of Onion and Garlic Research, Rajgurunagar, Pune, Maharashtra, 410 505, India.
Ankush GadgeResearch Extension Centre, Central Silk Board, Aurangabad, Maharashtra, 431 003, India.
Chandrashekhar PoteICAR-Directorate of Onion and Garlic Research, Rajgurunagar, Pune, Maharashtra, 410 505, India.
Dhananjay ShirsatICAR-Directorate of Onion and Garlic Research, Rajgurunagar, Pune, Maharashtra, 410 505, India.
Trupti PanditICAR-Directorate of Onion and Garlic Research, Rajgurunagar, Pune, Maharashtra, 410 505, India.
Sanket SawantICAR-Directorate of Onion and Garlic Research, Rajgurunagar, Pune, Maharashtra, 410 505, India.
S V RameshICAR-Central Plantation Crops Research Institute, Kasaragod, Kerala, 671 124, India.
Vijay MahajanICAR-Directorate of Onion and Garlic Research, Rajgurunagar, Pune, Maharashtra, 410 505, India.

Funding

Department of Science and Technology (DST) - Science and Engineering Research Board (SERB), New Delhi CRG/2021/004267
6 · The paper itself

Abstract

Tetragonula iridipennis Smith, commonly known as the stingless bee or 'dammer bee', is a key native species that pollinates a wide variety of horticultural crops, including onions, in India. Climate change significantly affects species distribution and habitat suitability. This study utilized Maximum Entropy Modeling (MaxEnt) to predict the current and future distribution of T. iridipennis in India. By modeling the species' potential distribution using both historical climate data (1970-2000) and future projections for 2050 and 2070 under two socio-economic scenarios, SSP126 (low-emission) and SSP585 (high-emission), the study provided accurate predictions. The area under the receiver operating characteristic curve (AUC) for model training and testing was 0.848 and 0.830, respectively, indicating strong model accuracy. Additionally, the Continuous Boyce Index (CBI) values for training and testing were 0.966 and 0.907, while the True Skill Statistic (TSS) values were 0.510 and 0.484. These metrics confirm that the model effectively distinguishes between suitable and unsuitable habitats for the species. The two most influential variables determining 84.9% of T. iridipennis's potential distribution were temperature seasonality (bio4; 66.2%) and mean temperature of the coldest quarter (bio11; 18.7%). The ideal zone for these variables were 155-170 and 13-28, respectively. The model indicated that the potential distribution of T. iridipennis is concentrated primarily in central and southern peninsular India, with the species' habitat predicted to expand under both SSP126 and SSP585 scenarios. This study provides a detailed overview of the current and potential future habitable areas for T. iridipennis in India, offering insights that could help guide conservation efforts for this important native pollinator.

Indexed as

Climate ChangeEcosystemAnimal DistributionAnimalsBeesClimateIndiaPollinationBee pollinatorsBiodiversityClimate changeConservationHabitat suitabilityStingless bee

Identifiers

PMID39738588
PMCPMC11686262

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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.