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Your search keyword '"Stewart-Koster, Ben"' showing total 31 results
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31 results on '"Stewart-Koster, Ben"'

1. Safe and just Earth system boundaries

Author

Rockström, Johan, Gupta, Joyeeta, Qin, Dahe, Lade, Steven J., Abrams, Jesse F., Andersen, Lauren S., Armstrong McKay, David I., Bai, Xuemei, Bala, Govindasamy, Bunn, Stuart E., Ciobanu, Daniel, DeClerck, Fabrice, Ebi, Kristie, Gifford, Lauren, Gordon, Christopher, Hasan, Syezlin, Kanie, Norichika, Lenton, Timothy M., Loriani, Sina, Liverman, Diana M., Mohamed, Awaz, Nakicenovic, Nebojsa, Obura, David, Ospina, Daniel, Prodani, Klaudia, Rammelt, Crelis, Sakschewski, Boris, Scholtens, Joeri, Stewart-Koster, Ben, Tharammal, Thejna, van Vuuren, Detlef, Verburg, Peter H., Winkelmann, Ricarda, Zimm, Caroline, Bennett, Elena M., Bringezu, Stefan, Broadgate, Wendy, Green, Pamela A., Huang, Lei, Jacobson, Lisa, Ndehedehe, Christopher, Pedde, Simona, Rocha, Juan, Scheffer, Marten, Schulte-Uebbing, Lena, de Vries, Wim, Xiao, Cunde, Xu, Chi, Xu, Xinwu, Zafra-Calvo, Noelia, and Zhang, Xin

Published
2023
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2. Optimal Sampling Regimes for Estimating Population Dynamics

Author

Atanga, Rebecca E., Boone, Edward L., Ghanam, Ryad A., and Stewart-Koster, Ben

Subjects
Statistics - Methodology
Abstract

Ecologists are interested in modeling the population growth of species in various ecosystems. Studying population dynamics can assist environmental managers in making better decisions for the environment. Traditionally, the sampling of species and tracking of populations have been recorded on a regular time frequency. However, sampling can be an expensive process due to available resources, money and time. Limiting sampling makes it challenging to properly track the growth of a population. Thus, we propose a new and novel approach to designing sampling regimes based on the dynamics associated with population growth models. This design study minimizes the amount of time ecologists spend in the field, while maximizing the information provided by the data.

Published
2020

3. Achieving a nature- and people-positive future

Author

Obura, David O., DeClerck, Fabrice, Verburg, Peter H., Gupta, Joyeeta, Abrams, Jesse F., Bai, Xuemei, Bunn, Stuart, Ebi, Kristie L., Gifford, Lauren, Gordon, Chris, Jacobson, Lisa, Lenton, Timothy M., Liverman, Diana, Mohamed, Awaz, Prodani, Klaudia, Rocha, Juan Carlos, Rockström, Johan, Sakschewski, Boris, Stewart-Koster, Ben, van Vuuren, Detlef, Winkelmann, Ricarda, and Zimm, Caroline

Published
2023
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12. Developing a Decision Support App for Computational Agriculture

Author

Lewis, Andrew, Randall, Marcus, and Stewart-Koster, Ben

Subjects
Bayesian Belief Networks, Decision support for farmers, App development, Article
Abstract

In the age of climate change, increasing populations and more limited resources, efficient agricultural production is being sought by farmers across the world. In the case of smallholder farms with limited capacity to cope with years of low production, this is even more important. To help to achieve this aim, data analytics and decision support systems are being used to an ever greater extent. For rice/shrimp farmers in the Mekong Delta, Vietnam, trying to tune the conditions so that both crops can be successfully grown simultaneously is an ongoing challenge. In this paper, the design and development of a smartphone app, from a well researched Bayesian Belief Network, is described. This now gives farmers the ability to make better informed planting and harvesting decisions. The app has been initially well received by water management practitioners and farmers alike.

Published
2020

14. Correction: A Bayesian belief data mining approach applied to rice and shrimp aquaculture.

Author

Randall, Marcus, Lewis, Andrew, Stewart-Koster, Ben, Anh, Nguyen Dieu, Burford, Michelle A., Condon, Jason, Qui, Nguyen Van, Hiep, Le Huu, Bay, Doan Van, Sang, Nguyen Van, and Sammut, Jesmond

Subjects
SHRIMP culture, DATA mining, RICE, AQUACULTURE, RICE quality
Abstract

The 5th and 11th authors' names are written incorrectly. The correct names are, respectively: Michelle A. Burford and Jesmond Sammut.By Marcus Randall; Andrew Lewis; Ben Stewart-Koster; Nguyen Dieu Anh; Michelle A. Burford; Jason Condon; Nguyen Van Qui; Le Huu Hiep; Doan Van Bay; Nguyen Van Sang and Jesmond SammutReported by Author; Author; Author; Author; Author; Author; Author; Author; Author; Author; Author [Extracted from the article]

Published
2024
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25. Claims that anthropogenic stressor facilitate jellyfish blooms have been amplified beyond the available evidence: a systematic review: anthropogenic causes of jellyfish blooms

Author

Pitt, Kylie, Lucas, Catherine, Condon, Robert, Duarte, Carlos, and Stewart-Koster, Ben

Abstract

The perception that anthropogenic stressors cause jellyfish blooms is widespread within the scientific literature and media but robust evidence in support of these claims appears scarce. We used a citation analysis of papers published on “jellyfish blooms” to assess the extent to which such claims are made and the robustness of the evidence cited to support claims. Our search of the Web of Science returned 365 papers on “jellyfish blooms.” Each paper was searched for statements linking jellyfish blooms to specific anthropogenic stressors. For each statement we recorded the affirmation afforded to the claim, identified the stressors purported to cause blooms, the sources cited to support the statement, the type of study cited and the species studied in the cited source. Almost half the papers contained statements claiming that blooms were facilitated by anthropogenic stressors but most (70%) afforded a low degree of affirmation to the claim. We identified three major limitations in the evidence cited to support claims: (1) it was dominated by studies of two wide-spread and highly invasive taxa (Aurelia aurita and Mnemiopsis leidyi) that may not represent the responses of jellyfishes more generally; (2) the empirical evidence cited was dominated by correlative studies which, whilst useful for generating hypotheses, cannot attribute causation; and (3) the reviews most commonly-cited as evidence mostly cited circumstantial evidence and other reviews and provided conceptual models of how stressors could influence blooms, rather than robust evidence. We conclude that, although anthropogenic stressors could enhance jellyfish blooms, robust evidence is limited. Claims that strongly affirm anthropogenic stressors as causes of jellyfish blooms appear to be amplifying the evidence beyond that available. As a community we need to qualify the statements we make about jellyfish to strike a better balance between perpetuating perception and accurately portraying the state of knowledge.

Published
2018

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