无脊椎动物的安乐死方法:对方法和福利标准的批判性叙述审查
Jaco Bakker1, Melissa A de la Garza2, Margot Morel3
1Animal Science Department, Biomedical Primate Research Centre, 2288 GJ Rijswijk, The Netherlands.
Animals : an open access journal from MDPI
|January 28, 2026
概括
有限的研究存在于人类无脊椎动物安乐死. 本综述提出了一种两步的方法:麻醉,然后破坏中枢神经系统,以改善无脊椎动物福利和临床管理.
科学领域:
- 兽医科学 兽医科学 兽医科学
- 动物福利 动物福利
- 无脊椎动物生物学 脊椎动物生物学
背景情况:
- 在消费,物,研究和动物园中越来越多地使用无脊椎动物,需要更好的福利和临床管理理解.
- 对于无脊椎动物的感觉,疼痛感知和安乐死,知识有限,没有标准化的协议.
- 现有的安乐死指南往往不完整,事,缺乏主要无脊椎动物类的覆盖.
研究的目的:
- 批判性地评估现有的无脊椎动物安乐死方法及其对福利的影响.
- 确定改进无脊椎动物现有的生命终结程序的机会.
- 根据现有的文献,提出无脊椎动物安乐死的实际两步方法.
主要方法:
- 进行了叙事文献审查,重点关注无脊椎动物安乐死.
- 批判性地评估现有的安乐死技术,福利影响和潜在的改进.
- 审查的重点是拟议的两步安乐死方法的应用.
主要成果:
- 关于无脊椎动物安乐死的有限和分散的同行评审,特定物种的文献.
- 描述的许多方法没有得到充分的研究,或者不符合安乐死的定义.
- 安乐死技术的有效性和人性在无脊椎动物的种类和生命阶段之间有很大差异.
结论:
- 对于无脊椎动物安乐死,建议采用两步方法 (麻醉,然后破坏中枢神经系统).
- 需要进行大量的进一步研究,以验证和优化对各种无脊椎动物物种的人性化的生命终结程序.
- 解决无脊椎动物福利和终身护理方面的知识差距至关重要.
相关概念视频
Critical Numbers and the Closed Interval Method
62
Understanding the maximum and minimum values of a function is essential for analyzing its overall behavior. These values, often referred to as extrema, provide insight into how a function behaves across its domain. In mathematical terms, extrema can be either local—representing peaks and valleys within a limited region—or absolute, indicating the highest or lowest points over an entire interval.A function’s extrema occur at critical numbers, which are values in the domain...
62
Review and Preview
8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview
11.2K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.2K
Empirical Method to Interpret Standard Deviation
10.2K
The empirical rule, also known as the three-sigma rule, allows a statistician to interpret the standard deviation in a normally distributed dataset. The rule states that 68% of the data lies within one standard deviation from the mean, 95% lies within two standard deviations from the mean, and 99.7% lies within three standard deviations from the mean. Additionally, this rule is also called the 68-95-99.7 rule.
This rule is used widely in statistics to calculate the proportion of data values...
This rule is used widely in statistics to calculate the proportion of data values...
10.2K
Critical Region, Critical Values and Significance Level
13.3K
The critical region, critical value, and significance level are interdependent concepts crucial in hypothesis testing.
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the...
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the...
13.3K
Critical Values
10.3K
A critical value is a definite value obtained from a particular probability distribution at a predecided confidence level (or a predecided significance level) for a given population parameter. The critical value provides demarcation that separates the sample statistics that are likely to occur from the ones that are unlikely to occur based on the given probability distribution and the population parameter to be estimated. The critical value for normal distribution is obtained from the z...
10.3K


