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PhenoPine: A simulation model to trace the phenological changes in Pinus roxhburghii in response to ambient temperature rise

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  • Kumar, Manoj
  • Kalra, Naveen
  • Khaiter, Peter
  • Ravindranath, N.H.
  • Singh, Varsha
  • Singh, Hukum
  • Sharma, Subrat
  • Rahnamayan, Shahryar

Abstract

The PhenoPine is a Growing Degree Day (GDD) simulation model that can be used to trace the phenology of pine (Pinus roxburghii) under changing regimes of ambient temperature rise. The PhenoPine was developed using field-based observations for pine – a dominant tree species under the “Chir Pine forests” of Indian Western Himalayan region. Phenological stages of pine have been worked out on the basis of GDD. The GDD was computed assuming zero degree Celsius as base temperature and the accumulated averaged values over different phenological stages for developing phenology of the tree. The model has been built in Fortran Simulation Translator. Initially, the model has been developed to trace the impacts of temperature considering temperature as the major driving force for the phenology, while the lack of data for other forces also made this an obvious choice. Simulation through the PhenoPine can be done to trace the stages of initiation and termination of needle (leaf) formation, litter fall, cone formation; and the longevity of each phases under the changing regime of temperature rise.

Suggested Citation

  • Kumar, Manoj & Kalra, Naveen & Khaiter, Peter & Ravindranath, N.H. & Singh, Varsha & Singh, Hukum & Sharma, Subrat & Rahnamayan, Shahryar, 2019. "PhenoPine: A simulation model to trace the phenological changes in Pinus roxhburghii in response to ambient temperature rise," Ecological Modelling, Elsevier, vol. 404(C), pages 12-20.
    • Handle: RePEc:eee:ecomod:v:404:y:2019:i:c:p:12-20
    DOI: 10.1016/j.ecolmodel.2019.05.003
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    References listed on IDEAS

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    1. Aggarwal, P.K. & Banerjee, B. & Daryaei, M.G. & Bhatia, A. & Bala, A. & Rani, S. & Chander, S. & Pathak, H. & Kalra, N., 2006. "InfoCrop: A dynamic simulation model for the assessment of crop yields, losses due to pests, and environmental impact of agro-ecosystems in tropical environments. II. Performance of the model," Agricultural Systems, Elsevier, vol. 89(1), pages 47-67, July.
    2. Aggarwal, P.K. & Kalra, N. & Chander, S. & Pathak, H., 2006. "InfoCrop: A dynamic simulation model for the assessment of crop yields, losses due to pests, and environmental impact of agro-ecosystems in tropical environments. I. Model description," Agricultural Systems, Elsevier, vol. 89(1), pages 1-25, July.
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    5. Biswas, Jatish C. & Kalra, Naveen & Maniruzzaman, M. & Choudhury, A.K. & Jahan, M.A.H.S. & Hossain, M.B. & Ishtiaque, S. & Haque, M.M. & Kabir, Wais, 2018. "Development of mungbean model (MungGro) and its application for climate change impact analysis in Bangladesh," Ecological Modelling, Elsevier, vol. 384(C), pages 1-9.
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    1. Shiekh Marifatul Haq & Umer Yaqoob & Eduardo Soares Calixto & Manoj Kumar & Inayat Ur Rahman & Abeer Hashem & Elsayed Fathi Abd_Allah & Maha Abdullah Alakeel & Abdulaziz A. Alqarawi & Mohnad Abdalla &, 2021. "Long-Term Impact of Transhumance Pastoralism and Associated Disturbances in High-Altitude Forests of Indian Western Himalaya," Sustainability, MDPI, vol. 13(22), pages 1-20, November.

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