Evidence map›Paper›PMID 31900668›Full record

ArticleEnvironmental monitoring and assessment2020

Land use and climate change impacts on distribution of plant species of conservation value in Eastern Ghats, India: a simulation study.

Reshma M Ramachandran, Parth Sarathi Roy, Vishnubhotla Chakravarthi, Pawan Kumar Joshi, J Sanjay

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Article in Environmental monitoring and assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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.

Reshma M RamachandranCentre for Earth, Ocean and Atmospheric Sciences, University of Hyderabad, Hyderabad, 500046, India. reshmamr04@gmail.com.ORCID http://orcid.org/0000-0002-1503-7143
Parth Sarathi RoyInnovation Systems for the Dry lands, ICRISAT, Pathancheru, Hyderabad, 502 324, India.
Vishnubhotla ChakravarthiCentre for Earth, Ocean and Atmospheric Sciences, University of Hyderabad, Hyderabad, 500046, India.
Pawan Kumar JoshiSchool of Environmental Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.
J SanjayIndian Institute of Tropical Meteorology, Centre for Climate Change Research, Pashan, Pune, 411008, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective monitoring of the current status of species distributions and predicting future distributions are very important for conservation practices at the ecosystem and species levels. The human population, land use, and climate are important factors that influence the distributions of species. Even though future simulations have many uncertainties, such studies can provide a means of obtaining species distributions, range shifts, and food production and help mitigation and adaptation planning. Here, we simulate the population, land use/land cover and species distributions in the Eastern Ghats, India. A MaxEnt species distribution model was used to simulate the potential habitats of a group of endemic (28 species found in this region) and rare, endangered, and threatened (RET) (22 species found in this region) plant species on the basis of IPCC AR5 scenarios developed for 2050 and 2070. Simulations of populations in 2050 indicate that they will increase at a rate of 1.12% relative to the base year, 2011. These increases in population create a demand for more land for settlement and food productions. Land use land cover (LULC) simulations show an increase in built-up land from 3665.00 km

Indexed as

Climate ChangeConservation of Natural ResourcesEnvironmental MonitoringPlantsAgricultureAnimalsBiodiversityEcosystemEndangered SpeciesForecastingHumansIndiaClimateConservationEndemicsLand useSimulationSpecies distributions

Identifiers

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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.