Graph summarizing variable importance rankings of the nine bioclimatic variables imposing a significant contribution to the potential suitability of paddy.

<p>BCV, Bioclimatic Variable; BCV4, temperature seasonality (standard deviation ×100); BCV12, annual precipitation; BCV13, precipitation of wettest month; BCV 14, precipitation of driest month; BCV15, precipitation seasonality (coefficient of variation); BCV16, precipitation of wettest quarter...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Kasuni G. Pitawala (22505280) (author)
مؤلفون آخرون:	Shamen P. Vidanage (22505283) (author), Lal P. Mutuwatte (22505286) (author), Bader Alhafi Alotaibi (9427527) (author), M. M. M. Najim (19305490) (author), Roshan Nayak (22505289) (author)
منشور في:	2025
الموضوعات:	Ecology Science Policy Infectious Diseases Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified rice occurrence points protect vital ecosystems 94 %, 47 89 %, 22 85 %, respectively 2030 ssp 585 2030 ssp 245 current research aims current climatic conditions 2050 ssp 585 2050 ssp 245 species range change climate change poses sri lanka ’ present study highlight ensure food security div >< p paddy cultivation increased climate change sri lanka food security years 2030 paddy range paddy cultivation western province simulation indicated significant threat rstudio software rely heavily practitioners aiming percentage loss particularly vulnerable main objective identifying measures faceted consequences developing countries comprehensive approach bioclimatic variables areas unsuitable 80 km 40 km 30 km 10 km 044 km 03 ),
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Graph summarizing variable importance rankings of the nine bioclimatic variables imposing a significant contribution to the potential suitability of paddy.

مواد مشابهة