Evidence map›Paper›PMID 39143090›Full record

ArticleScientific reports2024

Revisiting current distribution and future habitat suitability models for the endemic Malabar Tree Toad (Pedostibes tuberculosus) using citizen science data.

C K Aravind, Hebbar Priti, S Harikrishnan, Chellam Ravi, Mapping Malabar Tree Toad Programme, Kotambylu Vasudeva Gururaja

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

C K AravindCentre for Ecological Sciences, Indian Institute of Science, Bengaluru, 560012, India. aravindck09@gmail.com.ORCID 0009-0004-4386-4500
Hebbar PritiCentre for Ecological Sciences, Indian Institute of Science, Bengaluru, 560012, India.ORCID 0000-0002-4526-139X
S HarikrishnanMetastring Foundation, 591/11, 3Rd Main Road, Sadashivanagar, Bengaluru, 560080, India.ORCID 0000-0002-2340-2120
Chellam RaviMetastring Foundation, 591/11, 3Rd Main Road, Sadashivanagar, Bengaluru, 560080, India.ORCID 0000-0002-9319-4881
Mapping Malabar Tree Toad Programme
Kotambylu Vasudeva GururajaSrishti Manipal Institute of Art, Design and Technology, Manipal Academy of Higher Education, Manipal, 576104, India. gururaja.kv@manipal.edu.ORCID 0000-0001-6907-9907

Funding

The Habitats Trust Lesser Known Species Grant 2019
6 · The paper itself

Abstract

Climate change is one of the major drivers of biodiversity loss. Among vertebrates, amphibians are one of the more sensitive groups to climate change due to their unique ecology, habitat requirements, narrow thermal tolerance and relatively limited dispersal abilities. We projected the influence of climate change on an endemic toad, Malabar Tree Toad (Pedostibes tuberculosus; hereafter MTT) from the Western Ghats biodiversity hotspot, India, for two different shared socio-economic pathways (SSP) using multiple modeling approaches for current and future (2061-2080) scenarios. The data used predominantly comes from a citizen science program, 'Mapping Malabar Tree Toad' which is a part of the Frog Watch citizen science program, India Biodiversity Portal. We also evaluated the availability of suitable habitats for the MTT in Protected Areas (PAs) under the current and future scenarios. Our results show that annual precipitation was the most important bioclimatic variable influencing the distribution of MTT. We used MaxEnt (MEM) and Ensemble (ESM) modeling algorithms. The predicted distribution of MTT with selected environmental layers using MEM was 4556.95 km

Indexed as

BiodiversityBufonidaeCitizen ScienceClimate ChangeEcosystemAnimalsConservation of Natural ResourcesIndiaAmphibiansCitizen scienceEndemic toadIndiaSpecies distribution modelsWestern Ghats

Identifiers

PMID39143090
PMCPMC11324762

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LicenceCC BY-NC-ND
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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.