21 research outputs found

    Development of a Research-Based, User-Friendly, Rapid Scouting Procedure for the Invasive Sugarcane Aphid (Melanaphis sacchari), in Grain Sorghum

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    Sugarcane aphid (SCA), Melanaphis sacchari Zehntner, is a significant economic pest in grain sorghum in the Southeastern US and Southern Great Plains. A collaborative project led by Oklahoma State University was tasked with developing an effective scouting plan for SCA. A stratified sampling protocol was used to collect SCA data from 299 fields from six states (OK, KS, TX, AR, LA, MS), over two years (2016-2017). Using a nested analysis of variance (NANOVA) and Taylor's (1961) power law the within field sampling variance and dispersion pattern was defined. Results from these analyses revealed two significantly different geographical regions: a southern and a northern. Results show that in either sampling region three consecutive plant samples should be taken per stop within 30m of one another. Additionally, whole plant enumerative sampling was used to define where within the plant canopy sugarcane aphids were distributed. Results from that study showed the middle of the canopy may be the best area to extract the two-leaf sample unit. Three enumerative sampling plans for estimating population density and classification of a threshold were developed. Due to large sample sizes, these sampling protocols gave evidence that a binomial sequential sampling plan would be the best option for a rapid scouting tool. To develop the binomial sequential sampling tool tally threshold regressions were analyzed to define the relationship between the mean SCA per leaf and proportion of plants infested. After the fitness and practicality of the model was considered, tally thresholds of 50 and 100 aphids per plant were selected. Wald's sequential probability ratio test (SPRT) was used to determine stop lines for both sampling plans, which ranged from 10-24 plant samples per sampling event, with an average of 11 plant samples per sampling event, depending on state, action threshold, and error level. The binomial sampling plans were validated using 48 externally sampled fields analyzed with resampling for validation of sampling plans (RVSP) software. An in-field sampling tool was developed using the tally threshold of 50 SCA. This sequential binomial sampling plan for SCA will enable time-efficient scouting, expeditiously determine if, and when an action threshold is reached, and prevent unnecessary insecticide applications

    Pest e-alerts, vol. 17, no. 11: Managing sugarcane aphid report, 2018

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    This publication, formally known as the Plant Disease and Insect Advisory newsletter by the Oklahoma Cooperative Extension Service, underwent a title transition. It is now recognized by the title Pest e-Alerts.Entomology and Plant Patholog

    Pest e-alerts, vol. 16, no. 27: First Oklahoma sugarcane aphid report, 2017

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    This publication, formally known as the Plant Disease and Insect Advisory newsletter by the Oklahoma Cooperative Extension Service, underwent a title transition. It is now recognized by the title Pest e-Alerts.Entomology and Plant Patholog

    How to ensure threatened species monitoring leads to threatened species conservation

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    Monitoring is essential for effective conservation and management of threatened species and ecological communities. However, more often than not, threatened species monitoring is poorly implemented, meaning that conservation decisions are not informed by the best available knowledge. We outline challenges and provide best-practice guidelines for threatened species monitoring, informed by the diverse perspectives of 26 conservation managers and scientists from a range of organisations with expertise across Australian species and ecosystems. Our collective expertise synthesised five key principles that aim to enhance the design, implementation and outcomes of threatened species monitoring. These principles are: 1) Integrate monitoring with management; 2) Design fit-for-purpose monitoring programs; 3) Engage a diverse range of stakeholders; 4) Ensure good data management; and 5) Communicate the value of monitoring. We describe how to incorporate these principles into existing frameworks to improve current and future monitoring programs. Effective monitoring is essential to inform appropriate management and enable better conservation outcomes for our most vulnerable species and ecological communities.National Environmental Science Programme through the 382 Threatened Species Recovery Hu

    Essential principles to guide monitoring of threatened biodiversity

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    Monitoring of threatened species and ecological communities is currently inadequate in Australia. Monitoring biodiversity generally presents many challenges, but there are additional challenges associated with monitoring of threatened biodiversity that stem from the difficulties of reliably monitoring rare or rapidly declining species, or heavily fragmented and attenuated ecological communities. For threatened biota, the integration of monitoring into legal, management and policy settings is particularly crucial, as is good engagement with (and support from) the broader community. Clear guidance for both managers and monitoring practitioners is needed if we are to overcome these challenges and avoid the catastrophic consequences of absent or ineffective monitoring (e.g. species declines or extinction unnoticed because of inadequate data, and/or ineffectual links between monitoring and management action). This chapter presents the collective wisdom and experience from 26 threatened species monitoring practitioners and propose five principles that should be considered when designing monitoring programs for threatened species and ecological communities. These are: (1) engage people; (2) integrate monitoring with management; (3) plan, design and implement a fit-for-purpose monitoring program; (4) ensure good data management; and (5) communicate the value of monitoring. Our principles provide a clear framework in which to implement robust monitoring of threatened species and ecological communities in a way that guides management and enhances threatened biodiversity conservation outcomes, including avoiding extinctions

    Organisational perspectives on threatened species monitoring

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    Greater understanding of the issues, constraints and effective components of threatened species monitoring can be realised by sharing and consolidating the knowledge of managers and scientists engaged in such monitoring. This chapter collates the perspectives on monitoring of practitioners from government agencies, non-government organisations and universities involved with diverse monitoring programs of threatened species. Within and across organisational affiliations, it synthesises views on purpose, processes underpinning decisions and outcomes, and the strengths and constraints particular to threatened species monitoring programs. A commonly held view among all practitioners was that those directly involved with monitoring recognise its purpose, benefits and constraints, but others frequently do not understand or endorse these reasons. A synthesis of perspectives revealed that: (1) processes and decisions such as the selection of species to monitor are often influenced by external factors (e.g. funding, political priorities) as well as internal priorities; (2) a similar set of key components for good monitoring are recognised by all practitioners, but there are obstacles that prevent these components from being put into place; and (3) the strengths and constraints of monitoring programs specified by different practitioners are related to their organisational perspective. Overall, the essential ingredients for effective monitoring were identified as good design and methods, adequate resources,capable data management systems, integration with management, organisational support, effective communication and engagement with people. These components aligned with principles identified in Chapters 2 and 35. Understanding the issues, strengths and constraints faced by monitoring practitioners provides context for improving threatened species monitoring programs
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