Sub-regional variation in atmospheric and land variables regulates tea yield in the Dooars region of West Bengal, India.

التفاصيل البيبلوغرافية
العنوان:	Sub-regional variation in atmospheric and land variables regulates tea yield in the Dooars region of West Bengal, India.
المؤلفون:	Mallik P; School of Oceanographic Studies, Jadavpur University, Kolkata, 700032, India. piyasheemallik@gmail.com., Ghosh T; School of Oceanographic Studies, Jadavpur University, Kolkata, 700032, India.
المصدر:	International journal of biometeorology [Int J Biometeorol] 2023 Oct; Vol. 67 (10), pp. 1591-1605. Date of Electronic Publication: 2023 Jul 21.
نوع المنشور:	Journal Article
اللغة:	English
بيانات الدورية:	Publisher: Springer Verlag Country of Publication: United States NLM ID: 0374716 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1254 (Electronic) Linking ISSN: 00207128 NLM ISO Abbreviation: Int J Biometeorol Subsets: MEDLINE
أسماء مطبوعة:	Publication: New York, NY : Springer Verlag Original Publication: Leiden.
مواضيع طبية MeSH:	Soil* , Tea* , Crop Production* , Microclimate* , Weather*, Cluster Analysis ; India ; Climate ; Spatial Analysis ; Gardens
مستخلص:	Climatic variables can have localized variations within a region and these localized climate patterns can have significant effect on production of climate-sensitive crops such as tea. Even though tea cultivation and industries significantly contribute to employment generation and foreign earnings of several South Asian nations including India, sub-regional differences in the effects of climatic and soil variables on tea yield have remained unexplored since past studies focused on a tea-producing region as a whole and did not account for local agro-climatic conditions. Here, using a garden-level panel dataset based on tea gardens of Dooars region, a prominent tea-producing region in India, we explored how sub-regional variations in climatic and land variables might differently affect tea yield within a tea-producing region. Our analysis showed that the Dooars region harboured significant spatial variability for different climatic (temperature, precipitation, surface solar radiation) and soil temperature variables. Using graph-based Louvain clustering of tea gardens, we identified four spatial sub-regions which varied in terms of topography, annual and seasonal distribution of climatic and land variables and tea yield. Our sub-region-specific panel regression analyses revealed differential effects of climatic and land variables on tea yield of different sub-regions. Finally, for different emission scenario, we also projected future (2025-2100) tea yield in each sub-region based on predictions of climatic variables from three GCMs (MIROC5, CCSM4 and CESM1(CAM5)). A large variation in future seasonal production changes was projected across sub-regions (-23.4-35.7% changes in premonsoon, -4.2-3.1% changes in monsoon and -10.9-10.7% changes in postmonsoon tea production, respectively). (© 2023. The Author(s) under exclusive licence to International Society of Biometeorology.)
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معلومات مُعتمدة:	201819-SVSGC-2018-19-GE-WES-4093 University Grants Commission
فهرسة مساهمة:	Keywords: Atmospheric variable; Climate model projections; Panel regression; Soil temperature; Sub-regional variation; Tea yield
المشرفين على المادة:	0 (Soil) 0 (Tea)
تواريخ الأحداث:	Date Created: 20230721 Date Completed: 20230915 Latest Revision: 20230915
رمز التحديث:	20230915
DOI:	10.1007/s00484-023-02521-4
PMID:	37479848
قاعدة البيانات:	MEDLINE

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تدمد:	1432-1254
DOI:	10.1007/s00484-023-02521-4