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Crops & Soil - Predicting the host plant associations of insect herbivores using community-level interaction data.

Crops & Soil - Predicting the host plant associations of insect herbivores using community-level interaction data.
农作物
批准号:
2746424
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
翻译
持续的环境变化越来越多地与许多物种的范围扩张以及本地植物(粮食作物,林业,本地生物多样性)暴露于新的天敌套件有关。其中,许多最具破坏性的是昆虫,每年造成数十亿美元的损失。气候变化规划的一个重要方面是“地平线扫描”,预测哪些具有经济和社会重要性的植物可能成为尚未到达英国的范围扩大的食草动物的潜在食物植物。
英文摘要
Ongoing environmental change is increasingly associated with range expansions by many species, and the exposure of native plants (food crops, forestry, native biodiversity) to new suites of natural enemies. Of these, many of the most damaging are insects, responsible for billions of dollars worth of damage and loss annually. An important aspect of planning for climate change is 'horizon scanning', predicting which economically and socially important plants are likely to be potential food plants for range expanding herbivores yet to reach the UK.
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