IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v404y2019icp12-20.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380019301681
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2019.05.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    3. Jones, J. W. & Keating, B. A. & Porter, C. H., 2001. "Approaches to modular model development," Agricultural Systems, Elsevier, vol. 70(2-3), pages 421-443.
    4. Bouman, B.A.M. & van Laar, H.H., 2006. "Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions," Agricultural Systems, Elsevier, vol. 87(3), pages 249-273, March.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Saon Banerjee & Subharanjan Das & Asis Mukherjee & Apurba Mukherjee & B. Saikia, 2016. "Adaptation strategies to combat climate change effect on rice and mustard in Eastern India," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 21(2), pages 249-261, February.
    2. M. Sujithra & Subhash Chander, 2013. "Simulation of rice brown planthopper, Nilaparvata lugens (Stal.) population and crop-pest interactions to assess climate change impact," Climatic Change, Springer, vol. 121(2), pages 331-347, November.
    3. Paresh B. Shirsath & Vinay Kumar Sehgal & Pramod K. Aggarwal, 2020. "Downscaling Regional Crop Yields to Local Scale Using Remote Sensing," Agriculture, MDPI, vol. 10(3), pages 1-14, March.
    4. Kattarkandi Byjesh & Soora Kumar & Pramod Aggarwal, 2010. "Simulating impacts, potential adaptation and vulnerability of maize to climate change in India," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 15(5), pages 413-431, June.
    5. Fargue-Lelièvre, A. & Le Cœur, D. & Baudry, J., 2011. "Integrating farming techniques in an ecological matrix model: Implementation on the primrose (Primula vulgaris)," Ecological Modelling, Elsevier, vol. 222(4), pages 1002-1015.
    6. Trnka, M. & Muška, F. & Semerádová, D. & Dubrovský, M. & Kocmánková, E. & Žalud, Z., 2007. "European Corn Borer life stage model: Regional estimates of pest development and spatial distribution under present and future climate," Ecological Modelling, Elsevier, vol. 207(2), pages 61-84.
    7. Sulav Paudel & Lalit P. Sah & Mukti Devkota & Vijaya Poudyal & P.V. Vara Prasad & Manuel R. Reyes, 2020. "Conservation Agriculture and Integrated Pest Management Practices Improve Yield and Income while Reducing Labor, Pests, Diseases and Chemical Pesticide Use in Smallholder Vegetable Farms in Nepal," Sustainability, MDPI, vol. 12(16), pages 1-16, August.
    8. Singh, P. & Aggarwal, P. K. & Bhatia, V. S. & Murty, M. V. R. & Pala, M. & Oweis, T. & Benli, B. & Rao, K. P. C. & Wani, S. P., 2009. "Yield gap analysis: modelling of achievable yields at farm level," IWMI Books, Reports H041995, International Water Management Institute.
    9. Selvaraj Krishnan & Subhash Chander, 2015. "Simulation of climatic change impact on crop-pest interactions: a case study of rice pink stem borer Sesamia inferens (Walker)," Climatic Change, Springer, vol. 131(2), pages 259-272, July.
    10. K. Viswanath & P. Sinha & S. Naresh Kumar & Taru Sharma & Shalini Saxena & Shweta Panjwani & H. Pathak & Shalu Mishra Shukla, 2017. "Simulation of leaf blast infection in tropical rice agro-ecology under climate change scenario," Climatic Change, Springer, vol. 142(1), pages 155-167, May.
    11. A. Mukherjee & A. K. S. Huda, 2018. "Assessment of climate variability and trend on wheat productivity in West Bengal, India: crop growth simulation approach," Climatic Change, Springer, vol. 147(1), pages 235-252, March.
    12. Kalra, Naveen & Chakraborty, Debashis & Ramesh Kumar, P. & Jolly, Monica & Sharma, P.K., 2007. "An approach to bridging yield gaps, combining response to water and other resource inputs for wheat in northern India, using research trials and farmers' fields data," Agricultural Water Management, Elsevier, vol. 93(1-2), pages 54-64, October.
    13. Faramarzi, Monireh & Yang, Hong & Schulin, Rainer & Abbaspour, Karim C., 2010. "Modeling wheat yield and crop water productivity in Iran: Implications of agricultural water management for wheat production," Agricultural Water Management, Elsevier, vol. 97(11), pages 1861-1875, November.
    14. K. Hebbar & M. Venugopalan & A. Prakash & P. Aggarwal, 2013. "Simulating the impacts of climate change on cotton production in India," Climatic Change, Springer, vol. 118(3), pages 701-713, June.
    15. Mohammed Khalil Mellal & Rassim Khelifa & Abdelmadjid Chelli & Naima Djouadi & Khodir Madani, 2023. "Combined Effects of Climate and Pests on Fig ( Ficus carica L.) Yield in a Mediterranean Region: Implications for Sustainable Agricultural Strategies," Sustainability, MDPI, vol. 15(7), pages 1-12, March.
    16. Vayssières, Jonathan & Guerrin, François & Paillat, Jean-Marie & Lecomte, Philippe, 2009. "GAMEDE: A global activity model for evaluating the sustainability of dairy enterprises Part I - Whole-farm dynamic model," Agricultural Systems, Elsevier, vol. 101(3), pages 128-138, July.
    17. Dhakar, Rajkumar & Sehgal, Vinay Kumar & Chakraborty, Debasish & Sahoo, Rabi Narayan & Mukherjee, Joydeep & Ines, Amor V.M. & Kumar, Soora Naresh & Shirsath, Paresh B. & Roy, Somnath Baidya, 2022. "Field scale spatial wheat yield forecasting system under limited field data availability by integrating crop simulation model with weather forecast and satellite remote sensing," Agricultural Systems, Elsevier, vol. 195(C).
    18. Lacroix, Octave & Lescourret, Françoise & Génard, Michel & Memah, Mohamed-Mahmoud & Vercambre, Gilles & Valsesia, Pierre & Bevacqua, Daniele & Grechi, Isabelle, 2024. "Modeling the effect of multiple pests on ecosystem services provided by fruit crops: Application to apple," Agricultural Systems, Elsevier, vol. 213(C).
    19. Pathak, H. & Wassmann, R., 2007. "Introducing greenhouse gas mitigation as a development objective in rice-based agriculture: I. Generation of technical coefficients," Agricultural Systems, Elsevier, vol. 94(3), pages 807-825, June.
    20. Siad, Si Mokrane & Iacobellis, Vito & Zdruli, Pandi & Gioia, Andrea & Stavi, Ilan & Hoogenboom, Gerrit, 2019. "A review of coupled hydrologic and crop growth models," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:404:y:2019:i:c:p:12-20. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.