A 基于本福德的法律框架,以确定从生态监测数据库中对物种分布建模的发生地点的门
Taeyong Shim1, Zhonghyun Kim2, Jinho Jung3
1Ojeong Resilience Institute, Korea University, Seoul, 02841, Republic of Korea.
Scientific reports
|October 5, 2023
概括
确定物种分布模型 (SDM) 的最小发生地点至关重要. 这项研究建议使用Benford.
科学领域:
- 生态生态学 生态生态学
- 计算生物学 计算生物学
- 数据科学数据科学数据科学
背景情况:
- 物种分布模型 (SDM) 越来越多地用于生态研究.
- 对于从生态监测数据中获得可靠的SDM所需的最低发生地点数量,存在不足的指导.
- 在建模之前,验证事件数据集的质量和可靠性至关重要.
研究的目的:
- 提出和验证一个框架,以确定SDM发生地点的最低数量.
- 使用本福德定律评估生态监测数据集的可靠性.
- 为了在SDM中建立一个普遍的,与模型无关的最低发生地点的门.
主要方法:
- 开发了一个新的框架来确定SDM的最小发生地点值.
- 使用Benford's Law合规测试来评估物种发生数据集的自然性和可靠性.
- 使用真实技能统计 (TSS) 来量化模型性能并确定最低站点要求.
主要成果:
- 本福德合规测试证实了全国范围的淡水鱼监测数据集的可靠性.
- 至少有20个发生地点被确定为可靠物种分布建模所必需的.
- 该模型实现了0.793的真实技能统计 (TSS) 值和0.804.804的整体准确性.
结论:
- 本福德法规合规性测试提供了一种快速有效的方法来评估物种发生数据集的可靠性.
- 该研究建立了一个框架,用于推导SDM的通用,模型独立的最低发生值.
- 需要进一步的研究来评估这种方法对其他物种的可转移性,并与SDM性能进行验证.
相关概念视频
Mechanistic Models: Compartment Models in Individual and Population Analysis
62
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
62
Habitat Fragmentation
17.6K
Habitat fragmentation describes the division of a more extensive, continuous habitat into smaller, discontinuous areas. Human activities such as land conversion, as well as slower geological processes leading to changes in the physical environment, are the two leading causes of habitat fragmentation. The fragmentation process typically follows the same steps: perforation, dissection, fragmentation, shrinkage, and attrition.
17.6K
Distribution and Dispersion
21.8K
To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
21.8K
Conservation of Small Populations
13.2K
Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...
13.2K
Conservation of Declining Populations
9.7K
Conservation of declining population focuses on ways of detecting, diagnosing, and halting a population decline. The approach uses methods to prevent populations from going extinct.
9.7K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
82
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
82


