Evidence map›Paper›PMID 31953519›Full record

ArticleScientific reports2020

Past, Present and Future: Combining habitat suitability and future landcover simulation for long-term conservation management of Indian rhino.

Tanoy Mukherjee, Lalit Kumar Sharma, Goutam K Saha, Mukesh Thakur, Kailash Chandra

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Tanoy MukherjeeZoological Survey of India, Prani Vigyan Bhawan, New Alipore, Kolkata, West Bengal, India.
Lalit Kumar SharmaZoological Survey of India, Prani Vigyan Bhawan, New Alipore, Kolkata, West Bengal, India. lalitganga@gmail.com.
Goutam K SahaDepartment of Zoology, University of Calcutta, Kolkata, West Bengal, India.
Mukesh ThakurZoological Survey of India, Prani Vigyan Bhawan, New Alipore, Kolkata, West Bengal, India.
Kailash ChandraZoological Survey of India, Prani Vigyan Bhawan, New Alipore, Kolkata, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Indian rhino (Rhinoceros unicornis) is susceptible to habitat change and fragmentation due to illegal logging, rapid urbanization and non-forest use and therefore were confined in to isolated areas throughout its distribution. The present study was conducted in Gorumara landscape which is composed of two protected areas (PAs) viz., Gorumara National Park (GNP) and Chapramari Wildlife Sanctuary. Both PAs were separated by a territorial forest range (Bridge Area), which is between both the PAs and under high anthropogenic disturbance. The study was designed to understand the impacts of landcover change on habitat suitability of R. unicornis in a multi-temporal scenario from 1998 to 2018 using ensemble approach and also to simulate the future habitat suitability for 2028. Our result suggests a significant increase in woodland cover inside the PAs, whereas the grassland cover has increased outside the PA in territorial range. We found a strong positive association of R. unicornis with grasslands. The Comparison of the future suitability model of 2028 with that of 2018 indicates a substantial increase in rhino suitable area by 13% in the territorial forest. Hence, bringing the territorial forest into the PA network, will be a crucial step to increase the fodder availability and better connectivity for the long term survival of the species.

Indexed as

AnimalsConservation of Natural ResourcesEcosystemForestsGrasslandIndiaLogistic ModelsNepalNeural Networks, ComputerPerissodactyla

Identifiers

PMID31953519
PMCPMC6969075

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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.