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174 results for “Oil palm”
Logging of rainforest and conversion to oil palm reduces bioturbator diversity but not levels of bioturbation.
<p>This dataset contains data about bioturbation performed by different soil animals in three types of differently degraded habitats in Sabah, Borneo. This include not only levels of bioturbation, but also data about the numbers, growth and turnover of termite mounds plus litter depth for each sampling point. </p>
Process Integration Multi-Actor Multi-Criteria Optimization (PI-MAMCO) Framework: Case Study on Palm Oil Based Complex (POBC)
<p>The dataset includes the complete workflow for the PI-MAMCO method implementation, demonstrated on a POBC integration case study. The files are structured as follows:</p> <ol> <li> <p><strong>NOTEBOOKS Folder</strong>: This folder contains the Jupyter notebooks that constitute the entire workflow of our case study. These notebooks import necessary model equations, data, and functions from the "MODEL" folder. Running these notebooks with the correct Python package versions will reproduce the exact results presented in our submitted article.</p> </li> <li> <p><strong>MODEL Folder</strong>: This folder includes all model equations, data, and functions required by the Jupyter notebooks. The scripts in this folder are integral to executing the PI-MAMCO method as outlined in our research.</p> </li> <li> <p><strong>OUTPUTS Folder</strong>: The results generated by running the notebooks are saved in this folder. This includes all outputs reported in our manuscript as well as additional results not included in the paper.</p> </li> <li><strong>OUTPUTS_GENERATED Folder</strong>: The files contained in this folder are the expected results from executing the case study notebook.</li> </ol> <p><em>Reproducibility</em>: To ensure the reproducibility of our results, please ensure that you are using the correct versions of the required Python packages. Detailed instructions for setting up the Python environment are provided within the notebook and the readme.txt.</p> <p>Contained are also outputs from the <a href="https://www.sciencedirect.com/science/article/pii/S0957417422003931" target="_blank" rel="noopener">IRenE procedure</a>, used for the literature review (<em>01_extracted_keywords.xlsx</em> ; <em>02_sampling_results.csv</em>)</p>
GC-MS data corresponding to: Methanol-Based Esterification of Palm Oil Sludge – Preparation of Fatty Acids (Palmitic and Oleic) Ethyl Esters via Ethyl Acetate Transesterification by Javier Chaparro-Acosta and Juan-Manuel Urbina-González
<p>GC-MS data corresponding to:</p> <p>Methanol-Based Esterification of Palm Oil Sludge – Preparation of Fatty Acids (Palmitic and Oleic) Ethyl Esters via Ethyl Acetate Transesterification<br> by<br> Javier Chaparro-Acosta<sup>(1)</sup> and Juan-Manuel Urbina-González<sup>(2*)</sup></p> <p><sup>1</sup>Escuela de Ingeniería Química, Universidad Industrial de Santander, Bucaramanga, 680002, Colombia<br> <sup>2</sup>Escuela de Química, Universidad Industrial de Santander, Bucaramanga, 680002, Colombia<br> * Correspondence: jurbina@uis.edu.co<br> <br> <strong>Abstract</strong><br> Acid catalyzed Fischer esterification of fatty acids using methanol (as reagent and solvent) allow the preparation of long chain alkyl methyl esters. Transesterification of palm oil in basic media using methanol is also a known path to monoalkyl methyl ethers derived of fatty acids. In this work we report the Fischer esterification using methanol of a sample of local palm oil sludge (a fraction rich in fatty acids) and how during the extraction with ethyl acetate a transesterification reaction occurred, allowing the preparation of ethyl esters of oleic and palmitic acids as main compounds.</p> <p> </p>
Pollinator visits to six plant species in an oil palm landscape
<p>Pollination sustains biodiversity and food security, but pollinators are threatened by habitat degradation, fragmentation and loss. Here we aimed to assess how remaining forests influence bee visits to flowers in an oil palm dominated landscape in Borneo, Indonesia. To do this, we observed pollinator visits to six plant species: four crops (<i>Capsicum frutescens </i>L.<i> </i>"chili"; <i>Citrullus lanatus </i>(Thunb.) Matsum. & Nakai<i> </i>"watermelon";<i> Solanum lycopersicum </i>L.<i> </i>"tomato";<i> </i>and<i> Solanum melongena </i>L.<i> </i>"eggplant"); one native plant<i> Melastoma malabathricum </i>L.<i> </i>"melastome";<i> </i>and the exotic <i>Turnera subulata </i>Smith<i> </i>"turnera". We made one local grid-based and one landscape scale transect-based study spanning to 208 m and 2,130 m from forest, respectively. We recorded a total of 1,535 pollinator visits to 4,831 flowers in 1,046 ten-minute observation periods, with bee visits making up 81.4% of these visits. We observed an overall mean of 0.23 and 0.34 bee visits per flower per ten-minute period for the grid-based and transect studies, respectively. <em>C. lanatus</em> had the highest observed visitation frequency (0.62 visits per flower per ten-minute period) while <em>S. lycopersicum</em> had no observed visits. The dataset includes raw data collected in the field from 22 July – 29 October 2017.</p>
Data from: Ensuring pollinator presence in expanding oil crops: The case of Mystrops debilis (Nitidulidae) and the macauba palm (Acrocomia aculeata, Arecaceae)
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Limited evidence of biodiversity spillover from forest fragments into oil palm plantations in the Amazon
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Data from: Higher avian biodiversity, increased shrub cover, and proximity to continuous forest may reduce pest insect crop loss in small-scale oil palm farming
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Data from: Weak edge effects on trees in Bornean rainforest remnants bordering oil palm
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Data from: Deforestation risks posed by oil palm expansion in the Peruvian Amazon
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Proximity to forest mediates trade-offs between yields and biodiversity of birds in oil palm smallholdings
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Data from: Addressing the challenges of managing and monitoring biodiversity in High Conservation Value areas and High Carbon Stock forests within oil palm landscapes
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No evidence for trade-offs between bird diversity, yield and water table depth on oil palm smallholdings: implications for tropical peatland landscape restoration
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Small temperature variations are a key regulator of reproductive growth and assimilate storage in oil palm (Elaeis guineensis)
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Pollinator visits to six plant species in an oil palm landscape
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Morphological traits mediate fish occurrences in oil palm-impacted tropical streams
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Complexity within an oil palm monoculture: the effects of habitat variability and rainfall on adult dragonfly (Odonata) communities.
<p>Recent expansion of oil palm agriculture has resulted in loss of forest habitat and forest-dependent species. However, large numbers of species – particularly insects – can persist within plantations. This study focuses on Odonata (dragonflies and damselflies): a charismatic indicator taxon, and a potentially valuable pest control agent. We surveyed adult Odonata populations biannually over three years within an industrial oil palm plantation in Sumatra, Indonesia. We assessed the effects of rainfall (including an El Niño Southern Oscillation-associated drought), the role of roadside ditches, and the importance of understory vegetation on Odonata populations. To assess the impacts of vegetation we took advantage of a long-term vegetation management experiment that is part of the Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) Programme. We found 41 Odonata species, and communities varied between plantation core and roadside edge microhabitats, and between seasons. Abundance was significantly related to rainfall levels four months before surveys, probably indicating the importance of high water levels in roadside ditches for successful larval development. We found no significant effect of the BEFTA understory vegetation treatments on Odonata abundance, and only limited effects on community composition, suggesting that local understory vegetation structure plays a relatively unimportant role in determining communities. Our findings highlight that there are large numbers of Odonata species present within oil palm plantations, and suggest that their abundance could potentially be increased by maintaining or establishing waterbodies. As Odonata are predators, this could bring pest control benefits, in addition to enhancing biodiversity within intensive agricultural landscapes.</p>
Global oil palm map
<p>This report has been written by the IUCN Oil Palm Task Force in response to IUCN Resolution WCC-2016-Res-061-EN requesting "a situation analysis of the implications for biodiversity conservation from the expansion of oil palm, and to review and define best practices in the industry". The Situation Analysis primarily focuses on oil palm in the context of biodiversity conservation based on literature published before 31 January 2018, and aims to provide a more constructive pathway to addressing sustainability challenges in the palm oil industry. A draft version of this report was reviewed by 43 external reviewers from non-governmental organizations, academic institutions and people working in the palm oil industry, who provided some 600 comments that were then incorporated into a revised version.</p> <p>This report does not assess the social and economic implications of palm oil production and expansion but will refer to these when they are likely to have an impact on biodiversity conservation. Through identification of key knowledge gaps, the Situation Analysis will also provide direction to the Oil Palm Task Force in terms of seeking to address these knowledge gaps in the remainder of the 2017-2020 Quadrennium.</p>
Data from: Simplifying understory complexity in oil palm plantations is associated with a reduction in the density of a cleptoparasitic spider, Argyrodes miniaceus (Araneae: Theridiidae), in host (Araneae: Nephilinae) webs
Expansion of oil palm agriculture is currently one of the main drivers of habitat modification in Southeast Asia. Habitat modification can have significant effects on biodiversity, ecosystem function, and interactions between species by altering species abundances or the available resources in an ecosystem. Increasing complexity within modified habitats has the potential to maintain biodiversity and preserve species interactions. We investigated trophic interactions between Argyrodes miniaceus, a cleptoparasitic spider, and its Nephila spp. spider hosts in mature oil palm plantations in Sumatra, Indonesia. A. miniaceus co-occupy the webs of Nephila spp. females and survive by stealing prey items caught in the web. We examined the effects of experimentally manipulated understory vegetation complexity on the density and abundance of A. miniaceus in Nephila spp. webs. Experimental understory treatments included enhanced complexity, standard complexity, and reduced complexity understory vegetation, which had been established as part of the ongoing Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) Project. A. miniaceus density ranged from 14.4 to 31.4 spiders per square meter of web, with significantly lower densities found in reduced vegetation complexity treatments compared with both enhanced and standard treatment plots. A. miniaceus abundance per plot was also significantly lower in reduced complexity than in standard and enhanced complexity plots. Synthesis and applications: Maintenance of understory vegetation complexity contributes to the preservation of spider host–cleptoparasite relationships in oil palm plantations. Understory structural complexity in these simplified agroecosystems therefore helps to support abundant spider populations, a functionally important taxon in agricultural landscapes. In addition, management for more structurally complex agricultural habitats can support more complex trophic interactions in tropical agroecosystems.
Data from: Reframing the evidence base for policy-relevance to increase impact: a case study on forest fragmentation in the oil palm sector
It is necessary to improve knowledge exchange between scientists and decision-makers so that scientific evidence can be readily accessed to inform policy. To maximise impact of scientific evidence in policy development, the scientific community should engage more fully with decision-makers, building long-term working relationships in order to identify and respond to 'policy windows' with science that is reframed for policy-relevance. We illustrate the process and challenges using a case study in which we synthesised evidence from studies of habitat fragmentation to provide information for improved biodiversity conservation in the oil palm sector, resulting in the uptake of this research into new industry guidelines. Policy implications. The case study demonstrates how having an in-depth understanding of the 'policy arena' (the state of policy and the actors and influencing factors that affect policy) and responding with relevant and specific information, enabled effective uptake of science to inform the design of conservation set-asides in the oil palm industry.
Data from: Tree performance in a biodiversity enrichment experiment in an oil palm landscape
1. Large-scale conversion of tropical forests into oil palm monocultures has led to dramatic losses of biodiversity and ecosystem functions. While ecological restoration is urgently needed in many oil palm landscapes, there is a lack of scientific knowledge of sustainable management strategies. 2. We established experimental tree islands of varying sizes (25 m2 to 1600 m2) and diversity levels (1, 2, 3 and 6 species) in an oil palm plantation in Sumatra, Indonesia. Six native multi-purpose tree species including Jengkol (Archidendron pauciflorum), Durian (Durio zibethinus), Petai (Parkia speciosa), Meranti (Shorea leprosula), Sungkai (Peronema canescens), and Jelutung (Dyera polyphylla) were planted between living and felled oil palms. Here, we analyze the controlling factors of tree growth and survival during the first four years at the level of local neighborhood and tree island. 3. We found a significant effect of diversity levels on tree productivity, i.e. basal area was higher in mixed-species than in single-species tree islands. This overyielding was attributed to enhanced tree growth, while mortality had no effect. In the local neighborhood, tree species richness had a positive effect on tree growth during the first year only, indicating that selection and dominance of well-performing species at high level of diversity are most likely driving overyielding. 4. Trees grew better away from living oil palms, suggesting tree-palm competition. Proximity to felled oil palms increased growth especially during the first years, during which the planted trees might have benefited from the additional available space and resources. Despite positive edge effects from the conventional oil palm management in the surrounding, tree island size had an overall positive effect on tree growth. 5. Synthesis and applications. We planted multiple native trees in an oil palm plantation following a tree island pattern. The establishment success differed widely among species. The selection of particular species is a decisive factor to foster a positive relationship between diversity andtree growth. Planting larger tree islands (e.g. 1'600 square meters) is a better option to enhance tree growth, but tree-palm competition implies a trade-off between tree growth and palm oil production locally.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.