相关实验视频

Updated: May 3, 2026

High-Throughput Assays of Critical Thermal Limits in Insects

High-Throughput Assays of Critical Thermal Limits in Insects

Published on: June 15, 2020

一个概括的风险评估指数,用于预测温度影响下的昆虫种群

Frank T Ndjomatchoua¹, Ritter A Y Guimapi², Luca Rossini³

¹Department of Plant Sciences, School of the Biological Sciences, University of Cambridge, Cambridge, CB2 3EA, United Kingdom.

Journal of thermal biology

|June 15, 2024

概括

一个新的风险指数结合了害虫的发展,死亡率和生育率,以评估气候影响. 这种工具有助于预测害虫种群的增长,并为棕色虫和斑点翼虫等入侵物种绘制气候驱动的风险.

科学领域:

生态生态学生态生态学
数学生物学数学生物学
昆虫学昆虫学是一门学科.

背景情况:

了解害虫对环境因素的反应对于有效管理至关重要.
现有的方法缺乏统一的功能来评估气候驱动的害虫风险.
生物史特征是害虫种群动态的关键指标.

研究的目的:

开发一个新的风险指数,整合关键生物人口统计率.
创建一个预测工具来评估害虫种群在不同温度下增长的情况.
为了风险映射,将指数应用于主要农业害虫.

主要方法:

开发一个阶段结构化的动态数学模型.
将发育,死亡率和生育率整合到一个单一功能中.
该模型应用于对Nilaparvata lugens和Drosophila suzukii的案例研究.

主要成果:

我们得出了一个单一的数学函数,它包含了热生物统计率.
该函数确定了人口增长的温度值.
该指数成功描述了有利的条件,并为测试的害虫生成了地理空间风险地图.

结论:

开发的风险指数为了解害虫生物地理提供了一个灵活的工具.
它产生了类似于热性能曲线的生物健康指数.
该指数为在气候变化情景下改善害虫管理策略提供了基础.

关键词:

分区模型是分区模型.综合性害虫防治综合性害虫防治基于生理学的模型.空间分布模型的空间分布模型.温度依赖的发展依赖于温度.热性能热性能热性能

更多相关视频

Topical Application Bioassay to Quantify Insecticide Toxicity for Mosquitoes and Fruit Flies

Topical Application Bioassay to Quantify Insecticide Toxicity for Mosquitoes and Fruit Flies

Published on: January 19, 2022

Determining Temperature Preference of Mosquitoes and Other Ectotherms

Determining Temperature Preference of Mosquitoes and Other Ectotherms

Published on: September 28, 2022

相关概念视频

Responses to Heat and Cold Stress

Responses to Heat and Cold Stress

Every organism has an optimum temperature range within which healthy growth and physiological functioning can occur. At the ends of this range, there will be a minimum and maximum temperature that interrupt biological processes.

Factors Affecting Body Temperature

Factors Affecting Body Temperature

As a nurse, it is vital to understand the factors affecting body temperature to monitor variations and effectively evaluate deviations from regular.
Factors may include:

Derivatives: Problem Solving

Derivatives: Problem Solving

Temperature-Dependent Growth of Brook TroutThe growth of brook trout is closely influenced by water temperature. Experimental data demonstrate how trout weight changes over a 24-day period in response to varying water temperatures. At lower temperatures, such as 15.5 degrees Celsius, brook trout show significant weight gain. However, as the temperature increases, the amount of weight gained steadily decreases. At the highest temperature measured, 24.4 degrees Celsius, trout experience a net...