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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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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my.iium.irep.1139332024-11-11T00:38:37Z http://irep.iium.edu.my/113933/ Nonlinear impacts of climate anomalies on oil palm productivity Kamil, Nur Nadia Xiao, Saizi Syed Salleh, Sharifah Nabilah Xu, Hongbing Zuang, Castiel Chen HD1401 Agriculture HD2321 Industry 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. Elsevier 2024-08-06 Article PeerReviewed application/pdf en http://irep.iium.edu.my/113933/7/113933_Nonlinear%20impacts%20of%20climate%20anomalies.pdf application/pdf en http://irep.iium.edu.my/113933/13/113933_Nonlinear%20impacts%20of%20climate%20anomalies_SCOPUS.pdf Kamil, Nur Nadia and Xiao, Saizi and Syed Salleh, Sharifah Nabilah and Xu, Hongbing and Zuang, Castiel Chen (2024) Nonlinear impacts of climate anomalies on oil palm productivity. Heliyon, 10 (15). pp. 1-15. ISSN 2405-8440 E-ISSN 2405-8440 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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HD1401 Agriculture HD2321 Industry Kamil, Nur Nadia Xiao, Saizi Syed Salleh, Sharifah Nabilah Xu, Hongbing Zuang, Castiel Chen Nonlinear impacts of climate anomalies on oil palm productivity |
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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. |
format |
Article |
author |
Kamil, Nur Nadia Xiao, Saizi Syed Salleh, Sharifah Nabilah Xu, Hongbing Zuang, Castiel Chen |
author_facet |
Kamil, Nur Nadia Xiao, Saizi Syed Salleh, Sharifah Nabilah Xu, Hongbing Zuang, Castiel Chen |
author_sort |
Kamil, Nur Nadia |
title |
Nonlinear impacts of climate anomalies on oil palm productivity |
title_short |
Nonlinear impacts of climate anomalies on oil palm productivity |
title_full |
Nonlinear impacts of climate anomalies on oil palm productivity |
title_fullStr |
Nonlinear impacts of climate anomalies on oil palm productivity |
title_full_unstemmed |
Nonlinear impacts of climate anomalies on oil palm productivity |
title_sort |
nonlinear impacts of climate anomalies on oil palm productivity |
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Elsevier |
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2024 |
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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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