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结合原始遗传关系和分布模式,可以深入了解沙坑入侵风险评估

Ming Yang¹, Yuhan Qi¹, Xiaoqing Xian¹

¹State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.

The Science of the total environment

|December 5, 2024

概括

侵袭性沙丘构成了全球威胁. 这项研究通过分析遗传学关系和适合息地来确定中国的高风险地区,帮助早期发现和管理沙入侵.

科学领域:

生态生态学生态生态学
侵入性物种生物学生物学
生物地理学是生物地理学.

背景情况:

侵袭性沙 (Cenchrus spp.) 是一种有毒的植物. 在全球范围内造成重大农业损失和生物多样性减少.
有效的管理需要通过综合的植物遗传和息地适宜性分析来确定高风险地区.
目前的风险评估往往缺乏对多种沙种类的综合方法.

研究的目的:

评估中国八种入侵性和潜在入侵性沙坑的入侵风险区域.
分析可能适合的息地 (PSH),物种丰富性 (SR) 和家族遗传结构.
量化利基重叠,并确定沙坑入侵的关键环境驱动因素.

主要方法:

对入侵性和潜在的入侵性沙坑物种的遗传学相关性分析.
使用气候和环境数据建模潜在适宜息地 (PSHs).
评估与入侵热点有关的物种丰富性 (SR) 和遗传学聚类.
统计分析以确定驱动因素 (例如降水,温度,地形).

主要成果:

潜在的入侵性沙 (C. ciliaris,C. setigerus,C. myosuroides) 由于其遗传学关系和气候适应性,具有很高的入侵潜力.
侵入性沙坑占据了更广泛,更适合环境的地区,不包括中国西北部.
潜在的入侵性沙坑集中在中国西南部和南部,并确定了特定的热点.
遗传学聚类和较高的SR与中国东部和南部沿海的入侵热点相关.
温度和地形影响SR和家族遗传关系.

结论:

遗传学关系和气候适应性是沙坑入侵潜力的关键指标.
中国的特定地区,特别是西南部和南部地区,容易受到沙入侵的影响.
未来的全球变暖可能会增加沙坑的扩张和对更高度的入侵风险.
调查结果为针对砂入侵的有针对性的预防和管理策略提供了关键的见解.

关键词:

树种类 (Cenchrus spp.) 的植物分布模式分布模式分布模式驱动因素驱动因素遗传学上的亲属关系.种类丰富性种类丰富性

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