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相关概念视频

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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Predator-Prey Interactions02:39

Predator-Prey Interactions

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Predators consume prey for energy. Predators that acquire prey and prey that avoid predation both increase their chances of survival and reproduction (i.e., fitness). Routine predator-prey interactions elicit mutual adaptations that improve predator offenses, such as claws, teeth, and speed, as well as prey defenses, including crypsis, aposematism, and mimicry. Thus, predator-prey interactions resemble an evolutionary arms race.
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Ecological Niches02:02

Ecological Niches

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All organisms have a position within an ecosystem. The complete set of living and nonliving factors—including food resources, climate, and terrain—that define the position of a given organism are collectively referred to as the organism’s ecological niche.
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Conservation of Small Populations02:04

Conservation of Small Populations

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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...
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Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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Levels of Use of a GIS01:29

Levels of Use of a GIS

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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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相关实验视频

Updated: May 15, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

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原住民知识作为息地选择功能中唯一的数据来源.

Rowenna Gryba1,2,3, Andrew Von Duyke4, Henry P Huntington5

  • 1Department of Statistics, University of British Columbia, Vancouver V6T 1Z4, British Columbia, Canada.

Proceedings of the National Academy of Sciences of the United States of America
|April 8, 2025
PubMed
概括
此摘要是机器生成的。

土著知识 (IK) 从统计学上描述了物种与息地的关系,为保护和管理提供了信息. 这种方法,包括动态息地,确定了环状海等物种的关键区域,支持土著社区.

关键词:
在北极,北极的北极.原住民知识 原住民知识息地建模 息地建模环状海是一种环状海.保护物种 保护物种

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Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity
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相关实验视频

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科学领域:

  • 保护生物学 保护生物学
  • 野生动物管理 野生动物管理
  • 民族生态学 民族生态学

背景情况:

  • 西方物种息地模型经常排除土著知识 (IK),可能会影响土著社区和物种保护.
  • 在管理中排除IK可能会导致对文化和生计重要物种的获取受到限制.
  • 需要将IK纳入有效物种管理的科学框架.

研究的目的:

  • 开发统计方法来表征物种息地关系的土著知识 (IK).
  • 创建物种息地模型,仅使用IK来识别重要的息地和物种使用区域.
  • 证明这些方法在动态息地类型和物种管理中的应用.

主要方法:

  • 开发了统计技术来描述关于物种息地关联的土著知识 (IK).
  • 创建的物种息地模型仅基于已记录的 IK,包括动态息地变量,如冰度.
  • 将该方法应用于阿拉斯加水域的环状海,并结合Iñupiat猎人的知识.

主要成果:

  • 成功开发并应用了利用土著知识 (IK) 来统计模型物种息地关系的方法.
  • 鉴定出重要的息地和物种使用区域,以单独基于 IK.
  • 证明了 IK,特别是与动态息地考虑,增强现有的绘图和识别方法.

结论:

  • 原住民知识 (IK) 为物种息地建模提供了有价值和可统计的数据集.
  • 整合 IK,包括动态息地类型,为识别关键物种息地提供了可靠的方法.
  • 这种方法有助于在物种管理和共同管理倡议中有意义地纳入IK.