Nonlinear impacts of climate anomalies on oil palm productivity

Oil palm contributes to various global needs as one of the most productive oil crops, but there exist ongoing concerns regarding its yield reductions and associated environmental impacts resulting from land conversion. This is the first detailed report investigating the nonlinear threats to estate-l...

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Bibliographic Details
Main Authors: Kamil, Nur Nadia, Xiao, Saizi, Syed Salleh, Sharifah Nabilah, Xu, Hongbing, Zuang, Castiel Chen
Format: Article
Language:English
English
Published: Elsevier 2024
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Online Access:http://irep.iium.edu.my/113933/7/113933_Nonlinear%20impacts%20of%20climate%20anomalies.pdf
http://irep.iium.edu.my/113933/13/113933_Nonlinear%20impacts%20of%20climate%20anomalies_SCOPUS.pdf
http://irep.iium.edu.my/113933/
https://www.sciencedirect.com/science/article/pii/S2405844024118294/pdfft?md5=d793026e277c3cca58e4c44d290ed38a&pid=1-s2.0-S2405844024118294-main.pdf
https://doi.org/10.1016/j.heliyon.2024.e35798
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
English
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Summary:Oil palm contributes to various global needs as one of the most productive oil crops, but there exist ongoing concerns regarding its yield reductions and associated environmental impacts resulting from land conversion. This is the first detailed report investigating the nonlinear threats to estate-level oil palm yields posed by El Nino ˜ Southern Oscillation (ENSO) in the equatorial Pacific Ocean, a major driver of climate variability. Using the Malaysian Palm Oil Board administrative records on monthly performances reported by oil palm estates through the e-submissions portal spanning from January 2015 to June 2023, we focused on elucidating the impacts of ENSO on fresh fruit bunch yield, oil extraction rate, and oil yield. We found that both El Nino ˜ and La Nina ˜ conditions, characterized by extreme levels of ENSO indices cumulated over lags of 0–23 months prior to harvest, were associated with statistically significant reductions in yields. Lag association patterns unveiled that production risks were linked to preharvest exposure to extreme ENSO indices in various time windows. Subgroup analyses further revealed that the effects were pronounced in labor-intensive estates and those lacking fertilizer investments. This study underscores the necessity for adaptation strategies in response to future climate anomalies.