使用co-kriging插值构建一个参考指标模型,以确定中国飞复合体的地理来源
Zeshi Qin1,2, Yixia Cao3, Yan Wang3
1Sino-French Joint Laboratory for Invasive Forest Pests in Eurasia, Beijing Forestry University, Beijing, China.
Insect science
|February 23, 2024
概括
稳定的同位素揭示了中国飞蝶复合体 (FSMC) 的地理起源. 这种可追溯性技术使用 δ13C 值和协同克里格插值来进行昆虫起源分析.
科学领域:
- 生态可追溯性 生态可追溯性
- 稳定的同位素分析.
- 地理原产地确定确定
背景情况:
- 昆虫的可追溯性对于害虫管理至关重要,需要强大的同位素数据库.
- 飞蝶复合体 (FSMC) 是一个重要的害虫,需要原产地分析以进行有效的控制.
- 目前用于确定昆虫起源的方法缺乏全面的地理同位素数据.
研究的目的:
- 为中国FSMC δ13C值的地理分布开发一个预测模型.
- 为FSMC可追溯性建立一个稳定的同位素数据库.
- 提高FSMC的地理来源歧视的效率.
主要方法:
- 在中国12个省份 (2020-2022) 采集了FSMC的代表性样本.
- 对FSMC δ13C值与气候和地理因素 (经度,度,高度) 的相关性分析.
- 采用同热度和海拔高度的协同克里格插值,通过与11个候选模型的交叉验证进行验证.
主要成果:
- 协同调试的插值成功预测了FSMC δ13C的分布模式.
- "指数式"半变量图模型被选为最合适的模型.
- 生成的 δ13C 值分布图显示出显著的区域差异和定期的空间变化.
结论:
- 稳定同位素分析与协同克里格插值相结合是绘制FSMC δ13C值的有效方法.
- 生成的参考指标地图提高了FSMC地理来源歧视的效率.
- 这种方法为了解昆虫的分散和起源提供了有价值的工具.
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