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评估人为景观对韧皮部杆菌驱动的“橄榄快速衰退综合征”在普利亚(意大利)分布的驱动作用。

Assessing the driving role of the anthropogenic landscape on the distribution of the Xylella fastidiosa-driven "olive quick decline syndrome" in Apulia (Italy).

机构信息

Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment (CREA-AA), Italy.

Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment (CREA-AA), Italy.

出版信息

Sci Total Environ. 2023 Oct 20;896:165231. doi: 10.1016/j.scitotenv.2023.165231. Epub 2023 Jun 29.

Abstract

The plant pathogen Xylella fastidiosa (Xf) is a significant threat to various economically important tree cash crops. Although previously found only in the Americas, the bacterium responsible for olive quick decline syndrome was detected in Apulia, Italy, in 2013. Since then, it has spread to approximately 54,000 ha of olive trees in the region, causing dramatic concern throughout the Mediterranean basin. As a result, it is crucial to comprehend its distribution and forecast its potential diffusion. The effect of the anthropogenic component of the landscape on the distribution of Xf remains little explored. The present study used an ecological niche model to identify how different land uses, used as proxies of different levels of human pressure across the Apulia territory, impacted the distribution of the Xf-infected olive trees in 2015-2021. Results demonstrated that the anthropogenic component significantly contributed to the epidemic, with the road system representing the main driver of diffusion and natural/seminatural areas hampering Xf spread at the landscape scale. This evidence highlighted the importance of explicitly considering the effects of the anthropogenic landscape when modelling Xf distribution and support the design of landscape-informed monitoring strategies to prevent Xf spread in Apulia and other Mediterranean countries.

摘要

植物病原菌 Xylella fastidiosa(Xf)对各种经济上重要的树木经济作物构成重大威胁。尽管该细菌以前仅在美洲发现,但 2013 年在意大利普利亚地区发现了导致油橄榄快速衰退综合征的细菌。自那时以来,它已传播到该地区约 54000 公顷的橄榄树,引起了整个地中海盆地的极大关注。因此,了解其分布并预测其潜在传播至关重要。人为景观因素对 Xf 分布的影响仍未得到充分研究。本研究使用生态位模型来确定不同土地利用方式(用作普利亚地区不同人类压力水平的代表)如何影响 2015-2021 年 Xf 感染橄榄树的分布。结果表明,人为因素对疫情有重大影响,道路系统是扩散的主要驱动因素,而自然/半自然区域则在景观尺度上阻碍了 Xf 的传播。这一证据强调了在建模 Xf 分布时明确考虑人为景观影响的重要性,并支持设计景观知情的监测策略,以防止 Xf 在普利亚和其他地中海国家传播。

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