Dataset Information

The climbing flora of India: A comprehensive checklist.

ABSTRACT: The climbing plants in India are listed in detail in this data note. This comprehensive list of climbers was compiled using more than 100 published and unpublished sources that span more than a century. It includes a total of 2,608 species representing 585 genera and 104 spermatophyte plant families. Each species listed in the dataset is categorised according to its degree of woodiness and climbing strategies. The dataset also includes information on The International Union for Conservation of Nature (IUCN) status of all climber species from India. The botanical nomenclature used in the data has been updated to reflect Angiosperm Phylogeny Group (APG) IV classification. Researchers who are conducting ecological, taxonomic, phylogenetic, and evolutionary studies on climbers will be particularly interested in this dataset.

SUBMITTER: Pandi V

PROVIDER: S-EPMC9579740 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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The climbing flora of India: A comprehensive checklist.

Pandi Vivek V Babu Kanda Naveen KN

F1000Research 20220825

The climbing plants in India are listed in detail in this data note. This comprehensive list of climbers was compiled using more than 100 published and unpublished sources that span more than a century. It includes a total of 2,608 species representing 585 genera and 104 spermatophyte plant families. Each species listed in the dataset is categorised according to its degree of woodiness and climbing strategies. The dataset also includes information on The International Union for Conservation of N ...[more]

PMID: 36300034

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Project description:India is one of the 12 mega biodiversity countries of the world, which represents 11% of world's flora in about 2.4% of global land mass. Approximately 28% of the total Indian flora and 33% of angiosperms occurring in India are endemic. Higher human population density in biodiversity hotspots in India puts undue pressure on these sensitive eco-regions. In the present study, we predict the future distribution of 637 endemic plant species from three biodiversity hotspots in India; Himalaya, Western Ghats, Indo-Burma, based on A1B scenario for year 2050 and 2080. We develop individual variable based models as well as mixed models in MaxEnt by combining ten least co-related bioclimatic variables, two disturbance variables and one physiography variable as predictor variables. The projected changes suggest that the endemic flora will be adversely impacted, even under such a moderate climate scenario. The future distribution is predicted to shift in northern and north-eastern direction in Himalaya and Indo-Burma, while in southern and south-western direction in Western Ghats, due to cooler climatic conditions in these regions. In the future distribution of endemic plants, we observe a significant shift and reduction in the distribution range compared to the present distribution. The model predicts a 23.99% range reduction and a 7.70% range expansion in future distribution by 2050, while a 41.34% range reduction and a 24.10% range expansion by 2080. Integration of disturbance and physiography variables along with bioclimatic variables in the models improved the prediction accuracy. Mixed models provide most accurate results for most of the combinations of climatic and non-climatic variables as compared to individual variable based models. We conclude that a) regions with cooler climates and higher moisture availability could serve as refugia for endemic plants in future climatic conditions; b) mixed models provide more accurate results, compared to single variable based models.

Dataset Information

The climbing flora of India: A comprehensive checklist.

Publications

The climbing flora of India: A comprehensive checklist.

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