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基于 Maxent 的气候变化下亚洲两燕麦属杂草潜在入侵预测。

Prediction of potential invasion of two weeds of the genus Avena in Asia under climate change based on Maxent.

机构信息

College of Life Science, Shanxi Engineering Research Center of Microbial application technologies, Shanxi Normal University, Taiyuan, Shanxi, China.

College of Life Science, Shanxi Engineering Research Center of Microbial application technologies, Shanxi Normal University, Taiyuan, Shanxi, China.

出版信息

Sci Total Environ. 2024 Nov 10;950:175192. doi: 10.1016/j.scitotenv.2024.175192. Epub 2024 Aug 5.

Abstract

Avena sterilis L. (A. sterilis) and Avena ludoviciana Dur. (A. ludoviciana) are extremely invasive weeds with strong competitive ability and multiple transmission routes. Both species can invade a variety of dryland crops, including wheat, corn, and beans. Asia, as the world's major food-producing continent, will experience significant losses to agricultural production if it is invaded by these weeds on a large scale. This study used the MaxEnt model and ArcGIS to map the distribution of suitable habitats of the two species in Asia under climate change conditions. The constructed model comprised four levels, with a total of 25 index-level indicator factors used to evaluate the invasion risk of the two species. The results showed that the distribution of suitable habitats for both Avena species was highly dependent on precipitation and temperature. Under climate warming conditions, although overall the total suitable area is predicted to decrease compared to the current period, there are still moderately or highly suitable areas. Asian countries need to provide early warning for areas with significant increases in moderate and highly suitable zones for these two species of weeds under the background of climate change. If there is already an invaded area or if the suitability of the original area is increased, this should be closely monitored, and control measures should be taken to prevent further spread and deterioration.

摘要

野燕麦(Avena sterilis L.)和大野燕麦(Avena ludoviciana Dur.)是两种极具侵略性的杂草,具有很强的竞争力和多种传播途径。这两个物种都可以入侵多种旱地作物,包括小麦、玉米和豆类。亚洲作为世界主要的粮食生产大陆,如果这两种杂草大规模入侵,将对农业生产造成重大损失。本研究利用 MaxEnt 模型和 ArcGIS 绘制了这两个物种在气候变化条件下亚洲适宜生境的分布图谱。所构建的模型包含四个层次,共使用了 25 个指标级指示因子来评估这两个物种的入侵风险。结果表明,这两个燕麦物种的适宜生境分布高度依赖于降水和温度。在气候变暖的条件下,虽然与当前时期相比,总适宜面积预计会减少,但仍存在中度或高度适宜的区域。亚洲各国需要对气候变化背景下这两种杂草中度和高度适宜区显著增加的地区提供早期预警。如果已经有一个入侵地区,或者原来地区的适宜性增加,就应该进行密切监测,并采取控制措施,以防止进一步扩散和恶化。

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