Here is a comprehensive overview of the published papers and grey literature that have cited or used the ILORA database. This list, compiled from web searches, is likely not exhaustive. We will regularly update this list from Google Scholar, Web of Science and Scopus.
Peer-reviewed papers
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Indian Himalayan Region alien flora study: Wani, S.A., Ahmad, R., Gulzar, R., Rashid, I., Malik, A.H., Rashid, I., & Khuroo, A.A. (2022). Diversity, distribution and drivers of alien flora in the Indian Himalayan region. Global Ecology and Conservation, 38, e02246. https://doi.org/10.1016/j.gecco.2022.e02246
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Biotic homogenization in Indian biodiversity hotspots: Wani, S.A., Ahmad, R., Gulzar, R., Rashid, I., & Khuroo, A.A. (2023). Alien flora causes biotic homogenization in the biodiversity hotspot regions of India. Science of the Total Environment, 884, 163856. https://doi.org/10.1016/j.scitotenv.2023.163856
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Citizen science mapping of invasive plants in the Nilgiris: Hiremath, A.J. (2023). Mapping invasive alien plants through citizen science: shortlisting species of concern for the Nilgiris. Journal of Threatened Taxa, 15(11): 24266–24276. https://doi.org/10.11609/jott.8576.15.11.24266-24276
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Integrated inventory of invasive alien flora of South Asia: Gulzar, R., Wani, S.A., Hassan, T., et al. (2024). Looking beyond the political boundaries: an integrated inventory of invasive alien flora of South Asia. Biological Invasions, 26, 57–78. https://doi.org/10.1007/s10530-023-03165-6
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Environmental and anthropogenic drivers in the Himalaya: Gulzar, R., Ahmad, R., Hassan, T., Rashid, I., & Khuroo, A.A. (2024). Environmental and anthropogenic drivers of invasive plant diversity and distribution in the Himalaya. Ecological Informatics, 81, 102586. https://doi.org/10.1016/j.ecoinf.2024.102586
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Alien flora of Ladakh (Trans-Himalaya): Gulzar, R., et al. (2025). Alien flora of the Himalayan highlands: Naturalised and invasive plants in the Trans-Himalayan region of Ladakh, India. Biological Invasions. https://doi.org/10.1007/s10530-025-03562-z
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Alien plant invasions in Indian savannas: Ojha, M., Shigwan, B.K., Nerlekar, A.N., Datar, M.N., Chavan, B.P., & Barua, D. (2025). Differential impacts of invasion on plant communities of two types of savannas in India. Ecological Applications, 35(3), e70035. https://doi.org/10.1002/eap.70035
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Book chapter on preventing alien plant invasions in India: Banerjee, A.K., & Sankaran, K.V. (2023). An Action Plan to Prevent and Manage Alien Plant Invasions in India. In: Tripathi, S., Bhadouria, R., Srivastava, P., Singh, R., & Batish, D.R. (eds.) Invasive Alien Species, Springer.
Grey literature
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Tamil Nadu state policy document: The Government of Tamil Nadu used ILORA to create their state-level alien flora checklist as part of the Tamil Nadu Policy on Invasive Alien Plant Species and Ecological Restoration of Habitats (TN-PIPER, 2022), published by the Tamil Nadu Forest Department. Read here.
Student projects
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Two M.Sc. Statistics students from IIT Bombay, Ayaan Khan and Ritika Khemka, leveraged the ILORA database to develop predictive machine learning models that identify which ecological and biological factors determine whether a plant species becomes invasive in India. Using four classification algorithms (Decision Tree, Random Forest, Support Vector Machine, and XGBoost) on ILORA's 1,717 species and 28 variables, they identified that anthropogenic biome distribution (anthromes) and climatic suitability variables were the strongest predictors of invasion status, achieving 61% accuracy with the SVM model. Additionally, they employed unsupervised clustering techniques to group invasive alien species into natural clusters based on anthrome preferences and climate niches—identifying 3 anthrome-based clusters and 4 climate-based clusters (Mild Dry Zone, Warm Wet & Variable, Tropical Super Wet, and Cold Dry Highlands). This analysis demonstrates how ILORA's multidimensional data can generate actionable insights for invasive species monitoring and management in India. Click here for the full report.