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Chapter 38: Problem 1

In an effort to enter all identified species on Earth into a digital catalog, scientists are preparing a unique tag for each species. The following algorithms have been generated to create unique tags. Estimate which algorithm is best suited for the task. a. an algorithm that creates 15,000 to 20,000 unique tags b. an algorithm that creates 150,000 to 200,000 unique tags c. an algorithm that creates 1.5 million to 2 million unique tags d. an algorithm that creates 10 million to 20 million unique tags

Short Answer

Expert verified
The algorithm creating 10 million to 20 million unique tags is best suited.

Step by step solution

01

Understand the Problem

The problem requires selecting the best-suited algorithm to generate unique tags for all identified species on Earth for a digital catalog.
02

Identify the Options

The options provided are four distinct algorithms creating different ranges of unique tags: from 15,000 to 20,000 tags, 150,000 to 200,000 tags, 1.5 million to 2 million tags, and 10 million to 20 million tags.
03

Estimate the Number of Species

Based on various estimates, scientists believe there are around 8.7 million identified species on Earth.
04

Compare Estimate with Tag Ranges

Determine which tag range includes or exceeds the estimated number of 8.7 million species: a) 15,000 to 20,000 is too small. b) 150,000 to 200,000 is also too small. c) 1.5 million to 2 million is still insufficient. d) 10 million to 20 million is appropriate as it accommodates 8.7 million species.
05

Conclude

Based on the comparison, the algorithm that can generate 10 million to 20 million unique tags is best suited for the task as it meets the need to catalog all identified species.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Digital catalog of species
Creating a digital catalog of species is essential for organizing and preserving knowledge about Earth's biodiversity. This catalog will help scientists and researchers access information quickly and securely.
Within this digital catalog, each species needs a unique tag to avoid confusion and overlap.
A well-organized catalog can support important functions like:
  • Tracking species population changes
  • Facilitating research and conservation efforts
  • Providing data for educational purposes
By digitizing species data, we ensure that the information remains easily accessible and usable for future generations.
Unique tag generation
Generating unique tags is crucial for correctly identifying each species in the catalog. These tags act as unique identifiers, much like a fingerprint or a bar code.
Tags must be carefully crafted to ensure that no two species share the same tag. This helps maintain data integrity and avoids misidentification.
Several key points come into play with unique tag generation:
  • Scalability: Can the algorithm create a sufficient number of tags for all species?
  • Uniqueness: Are the tags guaranteed to be unique?
  • Efficient Usage: Are the tags easy to search and retrieve?
With a solid tagging system, the digital catalog becomes a reliable and precise tool for biodiversity management.
Species identification
Identifying species accurately is the foundation of creating a reliable digital catalog. Proper identification helps scientists distinguish between closely related species and avoid errors.
Identification involves observing various characteristics:
  • Physical traits: such as size, color, and shape
  • Behavioral traits: such as mating calls and feeding habits
  • Genetic traits: using DNA sequences
This rigorous process ensures that each species is correctly recognized and assigned the right tag, which is then recorded in the digital catalog.
Algorithm selection
Choosing the right algorithm is key to generating an appropriate number of unique tags. In our exercise, the goal is to estimate which algorithm best suits the task of tagging around 8.7 million species.
We have four algorithms with different tag ranges:
  • 15,000 to 20,000 tags
  • 150,000 to 200,000 tags
  • 1.5 million to 2 million tags
  • 10 million to 20 million tags
The choice becomes clear when we compare these ranges to our species count. The algorithm that creates 10 million to 20 million tags is best suited, as the other options offer far too few tags. By selecting an adequate algorithm, we ensure that all species receive a unique and functional tag.
Biodiversity estimation
Estimating biodiversity is a complex but essential task. It involves predicting the total number of species to ensure we have a comprehensive digital catalog.
In our exercise, the estimate indicates that there are around 8.7 million identified species on Earth. This estimation helps us determine the necessary tag range for our algorithm.
Biodiversity estimation serves several purposes:
  • Planning conservation strategies
  • Understanding ecological relationships
  • Tracking and predicting changes in ecosystems
Accurate biodiversity estimates allow us to develop effective tools, like our digital catalog, to support ongoing research and conservation efforts.

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Most popular questions from this chapter

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