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相关概念视频

What is Biodiversity?01:19

What is Biodiversity?

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Biodiversity describes the variety of living things at multiple organizational levels: genetic, species and ecosystem diversity. Species diversity includes all branches of the evolutionary tree from single-celled prokaryotic organisms, bacteria, and archaea, to the eukaryotic kingdoms: plants; animals; fungi; and protists. To date, there have been about 1.75 million species identified, and new species are discovered every week.
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Biodiversity and Human Values01:24

Biodiversity and Human Values

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Human civilization relies on biodiversity in many ways. Sudden changes in species biodiversity result in environmental changes that can modify weather patterns and therefore human civilizations.
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What is Conservation Biology?01:57

What is Conservation Biology?

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Conservation biology is a scientific field that focuses on the preservation of biodiversity in order to protect ecosystems while meeting the needs of the human population. Humans require properly functioning ecosystems to maintain our supply of natural resources, including food, medicines, and building materials.
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Habitat Fragmentation02:31

Habitat Fragmentation

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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.
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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Threats to Biodiversity01:50

Threats to Biodiversity

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There have been five major extinction events throughout geological history, resulting in the elimination of biodiversity, followed by a rebound of species that adapted to the new conditions. In the current geological epoch, the Holocene, there is a sixth extinction event in progress. This mass extinction has been attributed to human activities and is thus provisionally called the Anthropocene. In 2019 the human population reached 7.7 billion people and is projected to comprise 10 billion by...
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相关实验视频

Updated: Jun 11, 2025

Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
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Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing

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从多个来源获取生物多样性数据:使二次数据标准化和可访问.

Nubia Marques1, Carla Danielle de Melo Soares1, Daniel de Melo Casali1

  • 1Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil.

Biodiversity data journal
|September 30, 2024
PubMed
概括

本研究提出了一个框架,使用FAIR原则和达尔文核心模型来改善生物多样性数据的质量和可访问性. 标准化数据增强了宏观生态建模,生物多样性管理和保护工作.

关键词:
达尔文核心标准达尔文核心标准公平的数据是公平的.高尔夫球Maranhense 的时间二次数据二次数据二次数据

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Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data
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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

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相关实验视频

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Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data
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科学领域:

  • 生物多样性科学是生物多样性的科学.
  • 数据科学是数据科学.
  • 生态生态学 生态生态学

背景情况:

  • 生物多样性数据 (物种发生率,丰度) 对科学假设至关重要,但往往缺乏FAIR (可查找,可访问,可互操作,可重复使用) 原则.
  • 研究数据集经常面临数据质量,准确性和可用性的挑战,阻碍了科学进步.
  • 由于数据科学和分析的进步,21世纪要求聚合,标准化和共享生物多样性数据.

研究的目的:

  • 提出一个改进和使二次生物多样性数据符合FAIR标准的框架.
  • 提高生物多样性数据的可用性和可用性,用于宏观生态建模和其他研究.
  • 为了促进数据策划和验证多种类型的发生和丰度数据.

主要方法:

  • 使用达尔文核心基础模型进行数据标准化.
  • 将框架应用于与亚马逊东部接壤的生态区域的河口生态系统的生物多样性数据.
  • 专注于改进与物种发生和丰度相关的数据.

主要成果:

  • 制定了一个框架,以改善生物多样性数据质量和遵守FAIR原则.
  • 在研究区域内对多种种类型的标准化和验证的发生和丰度数据.
  • 展示了一种提高科学研究数据可用性的方法.

结论:

  • 标准化的公共数据库对于推动科学进步具有重要意义.
  • 精心策划和可访问的生物多样性数据对于有效的生物多样性管理和保护至关重要.
  • 拟议的框架有助于使生物多样性数据更加易于查找,可访问,可互操作和可重复使用.