Arid
DOI10.1007/s12517-020-06384-6
Prediction of ecological and geological niches of Salvadora oleoides in arid zones of India: causes and consequences of global warming
Bhandari, Maneesh S.; Shankhwar, Rajeev; Maikhuri, Sandeep; Pandey, Shailesh; Meena, Rajendra K.; Ginwal, Harish S.; Kant, Rama; Rawat, Parveen S.; Cacador Martins-Ferreira, Marco Antonio; Carrera Silveira, Livia Helena
通讯作者Bhandari, MS (corresponding author), Forest Res Inst, Div Genet & Tree Improvement, Dehra Dun 248195, Uttarakhand, India.
来源期刊ARABIAN JOURNAL OF GEOSCIENCES
ISSN1866-7511
EISSN1866-7538
出版年2021
卷号14期号:6
英文摘要Salvadora oleoides is a keystone and economically important species in the desert biome of the Indian subcontinent. However, species decline has been observed during field surveys (2016-2019) conducted in the Indian states of Punjab, Haryana, Rajasthan and Gujarat. For species distribution mapping, geospatial data of 683 trees were recorded, out of which 70.28% were used for training and the rest to validate the MaxEnt model. The statistically significant AUC value ranged from 0.92 +/- 0.02 (LGM) to 0.93 +/- 0.01 (RCP 2.6_70) with an average of 0.92 +/- 0.00. The bioclimatic variables, namely precipitation of warmest quarter (Bio 18), annual precipitation (Bio 12), altitude (Alt), precipitation of wettest month (Bio 13), precipitation of coldest quarter (Bio 19) and maximum temperature of warmest month (Bio 5), contributed significantly for predicting the species distribution, which ranged from 60.3% (Last Glacial Maximum, LGM) to 85.5% (Current) with an average of 75.82%. For the climate change scenario (2050s and 2070s), a sharp decline in the species distribution area was observed for all RCPs (when compared with the current estimate of 8638.01 km(2)), which ranged from 2102.90 (RCP 2.6_70) to 5494.23 km(2) (RCP 8.5_70). The model output revealed that the distribution is in accordance with the Koppen-Geiger climate classification system and the geological map of northwestern India. In relation to the geological variables, distribution of S. oleoides occurrence is conditioned to the presence of calcium-rich bedrock, which is used as a mechanism of compensation for the high salinity of desert soils. Overall, the study provides an eco-geo-distribution map and the potential use of MaxEnt in prediction modelling of the species. Furthermore, the research led to insights for suitable conservation and management plans for S. oleoides in arid zones of south Asian sub-continental climatic conditions.
英文关键词Salvadora oleoides MaxEnt model Koppen-Geiger climate classification system Geological analysis
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000629623700008
WOS类目Geosciences, Multidisciplinary
WOS研究方向Geology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/349549
作者单位[Bhandari, Maneesh S.; Shankhwar, Rajeev; Maikhuri, Sandeep; Meena, Rajendra K.; Ginwal, Harish S.; Kant, Rama] Forest Res Inst, Div Genet & Tree Improvement, Dehra Dun 248195, Uttarakhand, India; [Pandey, Shailesh] Forest Res Inst, Div Forest Protect, Forest Pathol Discipline, Dehra Dun 248006, Uttarakhand, India; [Rawat, Parveen S.] Forest Res Inst, Div Res & Coordinat Sect, Dehra Dun 248006, Uttarakhand, India; [Cacador Martins-Ferreira, Marco Antonio] Univ Fed Goias UFG, Fac Ciencias & Tecnol, Rua Mucuri, BR-74968755 Goiania, Go, Brazil; [Carrera Silveira, Livia Helena] Inst Brasileiro Meio Ambiente & Recursos Nat Reno, BR-70818900 Brasilia, DF, Brazil
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Bhandari, Maneesh S.,Shankhwar, Rajeev,Maikhuri, Sandeep,et al. Prediction of ecological and geological niches of Salvadora oleoides in arid zones of India: causes and consequences of global warming[J],2021,14(6).
APA Bhandari, Maneesh S..,Shankhwar, Rajeev.,Maikhuri, Sandeep.,Pandey, Shailesh.,Meena, Rajendra K..,...&Carrera Silveira, Livia Helena.(2021).Prediction of ecological and geological niches of Salvadora oleoides in arid zones of India: causes and consequences of global warming.ARABIAN JOURNAL OF GEOSCIENCES,14(6).
MLA Bhandari, Maneesh S.,et al."Prediction of ecological and geological niches of Salvadora oleoides in arid zones of India: causes and consequences of global warming".ARABIAN JOURNAL OF GEOSCIENCES 14.6(2021).
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