项目编号: | BB/L012286/1
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项目名称: | New approaches for the early detection of tree health pests and pathogens |
作者: | Carsten Ambelas Skjoth
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承担单位: | University of Worcester
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批准年: | 2013
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开始日期: | 2014-01-04
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结束日期: | 2018-31-03
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资助金额: | GBP192610
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资助来源: | UK-BBSRC
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项目类别: | Research Grant
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国家: | UK
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语种: | 英语
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特色学科分类: | Agri-environmental science
; Science and Technology Studies
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英文摘要: | The UK's forests, woods and trees are under threat from a growing number of pests and diseases. Many of these threats are alien; historically not present in the UK and having been introduced from overseas. Some of these threats may reach the UK naturally i.e. as wind-borne spores from continental Europe; potentially one pathway for introduction of the disease ash die-back. The alternative and probably more common pathway of introduction is via human activity, especially trade; for example moving infected plants (another pathway identified for ash die-back) or through the shipping of goods associated with infested timber (as was the case with the recent introduction of the Asian long-horn beetle into Kent in packaging crates for stone). These cases clearly demonstrate that we need to do more to improve our nation's biosecurity and protect our plants and trees; both cultivated and in the wider environment.
In order to do this we need better methods for detecting these pests and diseases that allow us to find them earlier and with greater efficiency. By detecting these threats earlier you can minimize the damage they cause, by either preventing an outbreak occurring in the first place or by finding it early and then stopping it from establishing and spreading further. At present we rely on trained inspectors to find these alien pests and pathogens, mainly via visual inspections of imported plants and plant-based products e.g. timber. However, given the volume of inspections required, the finite amount of resource available and the huge practical challenges associated with these inspections, this task is extremely difficult and the efficiency of detection is low.
This project is designed to change that situation by providing better methods for detecting tree pests and pathogens; both moving in trade and in the environment. It will look at new technologies for the detecting changes in infected plants; using either 'sniffer' technology to identify differences in the volatile chemicals given off by diseased and healthy plants or imaging techniques that can detect changes beyond the range of human vision. It will also look at developing and designing novel traps for capturing insects and DNA-based detection approaches that look for air- and water-borne pathogens. This will include better approaches for trapping spores and then applying high-throughput sequencing methods that will allow the identification of not only known pathogens but also new ones too.
However, developing these new technologies is only part of the challenge. It is also necessary to make sure these new methods are fit-for-purpose and that they work in a way that meets the needs of those enforcing tree health regulations (e.g. government), those upon who those regulation impact (e.g. woodland owners and industry) and the end-users who would be expected to use these new tools (e.g. inspectors in the field). We will also examine what type of end-users could be involved; this could be trained government inspectors (the traditional approach) or alternatives such as those working in the industry, volunteers or even the general public. So looking to see if a so-called 'citizen science' approach could be used for any of these new approaches.
It is also important to ensure that these new approaches can be deployed effectively, for example at locations that pose the greatest risk, and in a way that offers the best cost-benefit (i.e. the best balance between cost of using the technology and the improvements it can offer in terms of better pest and disease detection). In order to do this, we will take an interdisciplinary approach; getting experts from many different fields e.g. biology, mathematics, chemistry, engineering, physics, economics and social science, to work together to come up with the best overall solution that works technically, economically and socially. |
资源类型: | 项目
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标识符: | http://119.78.100.158/handle/2HF3EXSE/102054
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Appears in Collections: | 科学计划与规划 气候变化与战略
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作者单位: | University of Worcester
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Recommended Citation: |
Carsten Ambelas Skjoth. New approaches for the early detection of tree health pests and pathogens. 2013-01-01.
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