Priya Davidar

Dr. Priya Davidar

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Research Focus & Metrics

Academic Career Length

44Years (1983-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 June 2015 in Proceedings of the National Academy of Sciences
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Journal Article
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JSJ. W. Ferry Slik
J. W. Ferry Slik
VAVíctor Arroyo-Rodríguez
Víctor Arroyo-Rodríguez
SAShin-Ichiro Aiba
Shin-Ichiro Aiba
PAPatricia Alvarez-Loayza
Patricia Alvarez-Loayza
LALuciana F. Alves
Luciana F. Alves
EVEduardo M. Venticinque
Eduardo M. Venticinque
Significance: People are fascinated by the amazing diversity of tropical forests and will be surprised to learn that robust estimates of the number of tropical tree species are lacking. We show that there are at least 40,000, but possibly more than 53,000, tree species in the tropics, in contrast to only 124 across temperate Europe. Almost all tropical tree species are restricted to their respective continents, and the Indo-Pacific region appears to be as species-rich as tropical America, with each of these two regions being almost five times as rich in tree species as African tropical forests. Our study shows that most tree species are extremely rare, meaning that they may be under serious risk of extinction at current deforestation rates.

1 September 2022 in Nature Communications
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Journal Article
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FSFrancesco Maria Sabatini
Francesco Maria Sabatini
BJBorja Jiménez-Alfaro
Borja Jiménez-Alfaro
UJUte Jandt
Ute Jandt
MCMilan Chytrý
Milan Chytrý
RFRichard Field
Richard Field
HBHelge Bruelheide
Helge Bruelheide
Global patterns of regional (gamma) plant diversity are relatively well known, but whether these patterns hold for local communities, and the dependence on spatial grain, remain controversial. Using data on 170,272 georeferenced local plant assemblages, we created global maps of alpha diversity (local species richness) for vascular plants at three different spatial grains, for forests and non-forests. We show that alpha diversity is consistently high across grains in some regions (for example, Andean-Amazonian foothills), but regional ‘scaling anomalies’ (deviations from the positive correlation) exist elsewhere, particularly in Eurasian temperate forests with disproportionally higher fine-grained richness and many African tropical forests with disproportionally higher coarse-grained richness. The influence of different climatic, topographic and biogeographical variables on alpha diversity also varies across grains. Our multi-grain maps return a nuanced understanding of vascular plant biodiversity patterns that complements classic maps of biodiversity hotspots and will improve predictions of global change effects on biodiversity.

1 July 2015 in International Journal of Applied Earth Observation and Geoinformation
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Journal Article
Closed access
Parth Sarathi RoyParth Sarathi Roy
Parth Sarathi Roy
MBMukunda Dev Behera
Mukunda Dev Behera
MMM.S.R. Murthy
M.S.R. Murthy
ARArijit Roy
Arijit Roy
SSSarnam Singh
Sarnam Singh
RRReshma M Ramachandran
Reshma M Ramachandran

1 December 2010 in Biological Conservation
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Journal Article
Closed access
PDPriya Davidar
Priya Davidar
SSSasmita Sahoo
Sasmita Sahoo
PMPratheesh C. Mammen
Pratheesh C. Mammen
PAPrashanth Acharya
Prashanth Acharya
JPJean-Philippe Puyravaud
Jean-Philippe Puyravaud
KRKrista Roessingh
Krista Roessingh

1 April 2006 in Journal of Environmental Management
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Journal Article
Closed access
MAM. Arjunan
M. Arjunan
CHChristopher Holmes
Christopher Holmes
JPJean-Philippe Puyravaud
Jean-Philippe Puyravaud
PDPriya Davidar
Priya Davidar

6 February 2019 in Diversity and Distributions
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Journal Article
Open access
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RKRajapandian Kanagaraj
Rajapandian Kanagaraj
MAMiguel B. Araujo
Miguel B. Araujo
RBRathin Barman
Rathin Barman
PDPriya Davidar
Priya Davidar
RDRahul De
Rahul De
SGSurendra P. Goyal
Surendra P. Goyal
Aim: Climate change alters the water cycle, potentially affecting the distribution of species. Using an ensemble of species distribution models (SDMs), we predicted changes in distribution of the Asian elephant in South Asia due to increasing climatic variability under warming climate and human pressures.Location: India and Nepal.Methods: We compiled a comprehensive geodatabase of 115 predictor variables, which included climatic, topographic, human pressures and land use, at a resolution of 1 km2, and an extensive database on current distribution of elephants. For variable selection, we first developed 14 candidate models based on different hypotheses on elephant habitat selection. For each candidate model, a series of 240 individual models were evaluated using several metrics. Using three climatic and one land use change datasets for two greenhouse gas scenarios, ensemble SDMs were used to predict future projections.Results: Nine predictor variables were selected for ensemble SDMs. Elephant distribution is driven predominantly by changes in climatic water balance (>60%), followed by changes in temperature and human‐induced disturbance. The results suggest that around 41.8% of the 256,518 km2 of habitat available at present will be lost by the end of this century due to combined effects of climate change and human pressure. Projected habitat loss will be higher in human‐dominated sites at lower elevations due to intensifying droughts, leading elephants to seek refuge at higher elevations along valleys with greater water availability in the Himalayan Mountains.Main conclusions: Changes in climatic water balance could play a crucial role in driving species distributions in regions with monsoonal climates. In response, species would shift their range upwards along gradients of water availability and seasonal droughts. Conservation and management of elephant populations under global change should include design of movement corridors to enable dispersal of the elephant and other associated species to more conducive environments.