Optimising control of an agricultural weed in sheep-production pastures

Chalak, Morteza; Pannell, David J.

doi:10.1016/j.agsy.2012.01.010

Cited by 7 publications

(2 citation statements)

References 41 publications

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“…Modeling can assist in optimizing the management strategies of invasive species that sheep and goats can manage. Chalak and Pannell (2012) utilized stochastic dynamic simulation modeling to understand the most efficient and cost-effective solutions to managing weed blackberry ( Rubus anglocandicans ), an invasive shrub found worldwide. These modeling techniques were used to determine the estimated net present value of various control measures across different infestation levels.…”

Section: Extensive Precision Operationsmentioning

confidence: 99%

ASAS–NANP Symposium: Mathematical Modeling in Animal Nutrition: Opportunities and challenges of confined and extensive precision livestock production

Menendez

Brennan

Gaillard

et al. 2022

Journal of Animal Science

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Modern animal scientists, industry, and managers have never faced a more complex world. Precision livestock technologies have altered management in confined operations to meet production, environmental, and consumer goals. Applications of precision technologies have been limited in extensive systems such as rangelands due to lack of infrastructure, electrical power, communication, and durability. However, advancements in technology have helped to overcome many of these challenges. Investment in precision technologies is growing within the livestock sector, requiring the need to assess opportunities and challenges associated with implementation to enhance livestock production systems. In this review, precision livestock farming and digital livestock farming are explained in the context of a logical and iterative five-step process to successfully integrate precision livestock measurement and management tools, emphasizing the need for precision system models (PSM). This five-step process acts as a guide to realize anticipated benefits from precision technologies and avoid unintended consequences. Consequently, the synthesis of precision livestock and modeling examples and key case studies help highlight past challenges and current opportunities within confined and extensive systems. Successfully developing PSM requires appropriate model(s) selection that aligns with desired management goals and precision technology capabilities. Therefore, it is imperative to consider the entire system to ensure that precision technology integration achieves desired goals, while remaining economically and managerially sustainable. Achieving long-term success using precision technology requires the next generation of animal scientists to obtain additional skills to keep up with the rapid pace of technology innovation. Building workforce capacity and synergistic relationships between research, industry, and managers will be critical. As the process of precision technology adoption continues in, more challenging and harsh, extensive systems it is likely that confined operations will benefit from required advances in precision technology and PSM, ultimately strengthening the benefits from precision technology to achieve short-and long-term goals.

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Section: Extensive Precision Operationsmentioning

confidence: 99%

ASAS–NANP Symposium: Mathematical Modeling in Animal Nutrition: Opportunities and challenges of confined and extensive precision livestock production

Menendez

Brennan

Gaillard

et al. 2022

Journal of Animal Science

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“…Invasive species are significant threats to biodiversity, natural ecosystems and agriculture, leading to major economic and environmental damage worldwide (Costello et al 2007;Olson and Roy 2010). Most economic studies have analyzed temporal aspects of the invasive-species control while ignoring its spatial and stochastic aspects (e.g., Saphores 2000;Chalak and Pannell 2012;Aadland, Sims, and Finnoff 2015). However, the spread of invasive species is a stochastic process over time and space.…”

mentioning

confidence: 99%

Economics of Controlling Invasive Species: A Stochastic Optimization Model for a Spatial‐dynamic Process

Chalak

Polyakov

Pannell

2016

American J Agri Economics

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We analyze the dynamic process of invasive-species control in a spatially explicit and stochastic setting. An integer optimization model is applied to identify optimal strategies to deal with invasive species at steady state. Optimal strategies depend on the spatial location of invasion as well as on stochastic characteristics of spread and control. Previous studies of invasive-species control have been stochastic or spatial but not both. We model a landscape as consisting of multiple cells, each of which may be subject to border control or eradication within the cell. Optimal strategies from the model are characterized as eradication, containment or abandonment of control. Representing the rate of species spread as stochastic rather than deterministic results in less-intensive control becoming optimal at equilibrium. The optimal strategy may switch from eradication to containment or from containment to abandonment. If an infestation occurs at the boundary of the region within which it may spread, it is more likely to be optimal to eradicate or contain the species, compared to an infestation in the interior of the region. If the effectiveness of border control is stochastic, then containment is not feasible in the long term, but it is still optimal as a temporary measure in some scenarios.

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