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Phenotypic, Geological, and Climatic Spatio-Temporal Analyses of an Exotic Grevillea robusta in the Northwestern Himalayas

Author

Listed:
  • Aman Dabral

    (Division of Genetics & Tree Improvement, ICFRE-Forest Research Institute, Dehradun 248195, India)

  • Rajeev Shankhwar

    (Division of Genetics & Tree Improvement, ICFRE-Forest Research Institute, Dehradun 248195, India)

  • Marco Antonio Caçador Martins-Ferreira

    (Faculdade de Ciências e Tecnologia, Universidade Federal de Goiás, Rua Mucuri, Aparecida de Goiania 74968755, Brazil)

  • Shailesh Pandey

    (Forest Pathology Discipline, Division of Forest Protection, ICFRE-Forest Research Institute, Dehradun 248006, India)

  • Rama Kant

    (Division of Genetics & Tree Improvement, ICFRE-Forest Research Institute, Dehradun 248195, India)

  • Rajendra K. Meena

    (Division of Genetics & Tree Improvement, ICFRE-Forest Research Institute, Dehradun 248195, India)

  • Girish Chandra

    (Department of Statistics, University of Allahabad, Prayagraj 211002, India)

  • Harish S. Ginwal

    (Division of Genetics & Tree Improvement, ICFRE-Forest Research Institute, Dehradun 248195, India)

  • Pawan Kumar Thakur

    (Forest Ecology and Climate Change Division, ICFRE-Himalayan Forest Research Institute, Shimla 171013, India)

  • Maneesh S. Bhandari

    (Division of Genetics & Tree Improvement, ICFRE-Forest Research Institute, Dehradun 248195, India)

  • Netrananda Sahu

    (Department of Geography, Delhi School of Economics, University of Delhi, Delhi 110007, India)

  • Sridhara Nayak

    (Research and Development Center, Japan Meteorological Corporation, Osaka 5300011, Japan)

Abstract

The last five decades (since 1980) have witnessed the introduction of exotic trees as a popular practice in India to fulfill the demand of forest-based products for utilization in afforestation programmes. This study examines the distribution and habitat suitability of exotic Grevillea robusta trees in the northwestern Himalayas (state: Uttarakhand), focusing on the interaction between G. robusta and abiotic factors, such as climate, soil, and habitat suitability. This multipurpose agroforestry species is mainly grown by farmers as a boundary tree, windbreak, or shelterbelt and among intercrops on small farms in agroforestry systems worldwide. The results indicate that phenotypic plasticity is determined by tree height and diameter, indicating a higher frequency of young and adult trees. The study also highlights spatio-temporal modeling coupled with geological analysis to address the current distribution pattern and future habitat suitability range through MaxEnt modeling. The AUC ranged from 0.793 ± 3.6 (RCP 6.0_70) to 0.836 ± 0.008 (current) with statistical measures, such as K (0.216), NMI (0.240), and TSS (0.686), revealing the high accuracy of the model output. The variables, which include the minimum temperature of the coldest month (Bio 6), the slope (Slo), the mean temperature of the driest quarter (Bio 9), and the precipitation of the driest quarter (Bio 17), contribute significantly to the prediction of the distribution of the species in the Himalayan state. The model predicts a significant habitat suitability range for G. robusta based on bio-climatic variables, covering an area of approximately ~1641 km 2 with maximal occurrence in Pauri (~321 km 2 ) and Almora (~317 km 2 ). Notably, the future prediction scenario corroborates with the regions of Tons (Upper Yamuna, Uttarkashi), Kalsi (Mussoorie, Dehradun), the Kedarnath Wildlife Sanctuary, and the Badrinath Forest Division for the potentially suitable areas. The climate was found to have a strong influence on the species’ distribution, as evidenced by its correlation with the Köppen–Geiger climate classification (KGCC) map. While the species demonstrated adaptability, its occurrence showed a high correlation with bedrocks containing an elevated iron content. Furthermore, the study also provides the first trees outside forests (TOF) map of G. robusta in the region, as well as insight into its future habitat suitability.

Suggested Citation

  • Aman Dabral & Rajeev Shankhwar & Marco Antonio Caçador Martins-Ferreira & Shailesh Pandey & Rama Kant & Rajendra K. Meena & Girish Chandra & Harish S. Ginwal & Pawan Kumar Thakur & Maneesh S. Bhandari, 2023. "Phenotypic, Geological, and Climatic Spatio-Temporal Analyses of an Exotic Grevillea robusta in the Northwestern Himalayas," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12292-:d:1215638
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    References listed on IDEAS

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