Americas, new world for a more sustainable palm oil

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Oil palm is the world’s leading oil crop, accounting for 36% of global vegetable oil production in 2020. Originally from Central and West Africa, oil palm plantations have been extended to Southeast Asia, partly at the expense of biodiversity-rich forests and peatlands storing large quantities of carbon. Negative environmental impacts have sometimes been accompanied by equally negative social impacts. Since the 2000s, oil palm plantations have been expanding rapidly in Latin America. The producing countries of the American continent have a number of characteristics in common, which differentiate them from Asia and Africa. Palm oil production costs are high, and oil palm fresh fruits bunches producers are dependent on the presence of extractive mills to purchase their production, sometimes with extensive mill supply basins based on networks of collect centers. Overall, edapho-climatic conditions are not as good as in Indonesia or Malaysia. Nevertheless, palm oil production represents an opportunity for the economic development of rural areas, and could help meet the needs in edible oil of domestic and regional markets in the continent’s producing countries. What are the expectations regarding the sector? What is the risk of expanding oil palm plantations at the expense of forests? Should we fear a scenario resembling Asian expansion dynamics? The development of a sustainable sector raises many challenges. This thematic issue explores some of them, and also highlights the need for further research on the American continent to support the sustainable development of the oil palm sector.

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CitationsShowing 1 of 1 papers
  • Research Article
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Agronomy and Environmental Sustainability of the Four Major Global Vegetable Oil Crops: Oil Palm, Soybean, Rapeseed, and Sunflower
  • Jun 16, 2025
  • Agronomy
  • Denis J Murphy

Four crops, oil palm, soybean, rapeseed, and sunflower, are collectively responsible for >91% of all globally traded vegetable oil production, worth an annual USD 223 billion. However, these crops fall into two distinctive categories with respect to their agronomy, yield, socioeconomic value, and overall sustainability. The dichotomy between perennial oil palm and the three annual oilseed crops is perhaps best shown in their relative efficiencies in oil production versus the amount of land that they occupy. Hence, land-friendly oil palm produces >90 Mt of oil on 29 Mha of land, with an average oil yield of 3.3 t/ha. In contrast, the three land-hungry annual crops collectively produce 121 Mt of oil on a huge land area of 191 Mha, giving a much lower average oil yield of 0.6 t/ha. In this study, the dichotomy between oil palm and the three major oilseed crops is examined further by comparing their respective carbon emission and uptake dynamics. The direct comparison of four such different crops is challenging, as much of the previous work has focused on single crops involving differing methodologies. The analysis therefore provides a novel perspective that enables several important conclusions to be drawn for policy decisions on the use of limited land resources. In particular, the sustainable production of vegetable oils needs to be reconsidered in the context of factors such as climate change, threats to food security, and the performance of the global economy.

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Biodiversity has been the buzz word and a subject for smear campaigns against the palm oil industry in the last few years due to the fear that further expansion of oil palm areas will destroy virgin forests and/or forests with high conservation value. There is also the accusation that oil palm plantations are devoid of biodiversity when compared with natural forests. Apart from some notable exceptions, large-scale empirical studies on the biodiversity of oil palm agriculture remain exceedingly few and far between. In August 2006, Kuala Lumpur Kepong Berhad (KLK) undertook a collaborative work with Princeton University, New Jersey, USA on a PhD project in Sabah to quantify biodiversity in KLK oil palm estates. This project comprises three phases with the following primary objectives: i) to document the agricultural biodiversity present in oil palm plantations (Phase I), ii) to compare oil palm biodiversity with that of other land uses (Phase II), iii) to identify ways to enhance biodiversity in oil palm plantations (Phase III), and (iv) to determine the economic value of biodiversity for oil palm agriculture (Phase III). This project is being conducted in 15 of KLK’s oil palm estates located in Tawau and Lahat Datu in Sabah, East Malaysia. During Phase I of this biodiversity study, a total of 26 butterfly, 35 bird and 7 mammal species were recorded from field surveys. Additionally, 11 species of birds and mammals were recorded through causal observations. Examples of species recorded include the Clipper (Parthenos sylvia), the Black–winged Kite (Elanus caeruleus) and the Prevost’s Squirrel (Callosciurus prevostii). It is hoped that this project will add more information on the richness of biodiversity in oil palm estates, particularly in Sabah and enable a better understanding of the biodiversity in oil palm plantations and for the palm oil sector in this region. In many ways this would also help us in building up our knowledge base. The data collected through these studies will be useful for the development of management systems that would enhance the level of biodiversity in oil palm plantations and to facilitate companies in meeting Criteria 5.1 and 5.2 of the principles and criteria of the RSPO (Roundtable on Sustainable Palm Oil). The ultimate goal of this series of studies is to provide the information for the reconciliation of biodiversity conservation and sustainable agriculture. Keywords: Oil palm, biodiversity, RSPO.

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High-resolution global map of smallholder and industrial closed-canopy oil palm plantations
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Abstract. Oil seed crops, especially oil palm, are among the most rapidly expanding agricultural land uses, and their expansion is known to cause significant environmental damage. Accordingly, these crops often feature in public and policy debates which are hampered or biased by a lack of accurate information on environmental impacts. In particular, the lack of accurate global crop maps remains a concern. Recent advances in deep-learning and remotely sensed data access make it possible to address this gap. We present a map of closed-canopy oil palm (Elaeis guineensis) plantations by typology (industrial versus smallholder plantations) at the global scale and with unprecedented detail (10 m resolution) for the year 2019. The DeepLabv3+ model, a convolutional neural network (CNN) for semantic segmentation, was trained to classify Sentinel-1 and Sentinel-2 images onto an oil palm land cover map. The characteristic backscatter response of closed-canopy oil palm stands in Sentinel-1 and the ability of CNN to learn spatial patterns, such as the harvest road networks, allowed the distinction between industrial and smallholder plantations globally (overall accuracy =98.52±0.20 %), outperforming the accuracy of existing regional oil palm datasets that used conventional machine-learning algorithms. The user's accuracy, reflecting commission error, in industrial and smallholders was 88.22 ± 2.73 % and 76.56 ± 4.53 %, and the producer's accuracy, reflecting omission error, was 75.78 ± 3.55 % and 86.92 ± 5.12 %, respectively. The global oil palm layer reveals that closed-canopy oil palm plantations are found in 49 countries, covering a mapped area of 19.60 Mha; the area estimate was 21.00 ± 0.42 Mha (72.7 % industrial and 27.3 % smallholder plantations). Southeast Asia ranks as the main producing region with an oil palm area estimate of 18.69 ± 0.33 Mha or 89 % of global closed-canopy plantations. Our analysis confirms significant regional variation in the ratio of industrial versus smallholder growers, but it also confirms that, from a typical land development perspective, large areas of legally defined smallholder oil palm resemble industrial-scale plantings. Since our study identified only closed-canopy oil palm stands, our area estimate was lower than the harvested area reported by the Food and Agriculture Organization (FAO), particularly in West Africa, due to the omission of young and sparse oil palm stands, oil palm in nonhomogeneous settings, and semi-wild oil palm plantations. An accurate global map of planted oil palm can help to shape the ongoing debate about the environmental impacts of oil seed crop expansion, especially if other crops can be mapped to the same level of accuracy. As our model can be regularly rerun as new images become available, it can be used to monitor the expansion of the crop in monocultural settings. The global oil palm layer for the second half of 2019 at a spatial resolution of 10 m can be found at https://doi.org/10.5281/zenodo.4473715 (Descals et al., 2021).

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