Software Development Exam  >  Software Development Notes  >  Big Data & Analysis Tutorial: Introduction  >  Big Data is Helping in Wildlife Conservation

Big Data is Helping in Wildlife Conservation | Big Data & Analysis Tutorial: Introduction - Software Development PDF Download

1. Objective

Big data is on the boom these days as it has been helping every field to improve the services and manage things in a better manner.  Conservation of nature is one of the important areas where Big Data has come up as “Gift Of GOD” in saving the wildlife. Let us see few of the projects of Big Data in Wildlife Conservation that has used Big data and Machine Learning as their key components.


2. Big Data in Wildlife Conservation

In this section, various projects are discussed below which shows the aid of Big Data in Wildlife Conservation.

2.1. The Great Elephant Census

In Africa alone, more than 12,000 elephants have been killed each year since 2006 and if this goes on, that day is not far when there will not be any elephant left on this planet. The protection of ecosystem is vital not only to wildlife but the communities around them to complete the ecosystem cycle and Big Data is helping in the same. In 2014, a survey The Great Elephant Census was launched by Microsoft co-founder Paul Allen to achieve a greater understanding of elephants number in Africa. 90 researchers traversed over 285,000 miles of the African continent, over 21 countries to conduct this research.


One of the largest raw data sets was created in this survey. The survey has shown that African elephant numbers has become only 352,271 in 18 countries and has gone down by 30% in seven years. This highlighted the need for on-going monitoring to make ensure better response times to emergency situations. Big Data is having a huge impact on conservation efforts that is going to help protect the Elephant population of Africa.

2.2. eBird

This project was launched in 2002. It is an app that helps users’ in recording bird sightings as they find any and input this data into the app. The app was created with a target to help create usable Big Data sets that could be of value to professional and recreational bird watchers. These data sets are then being shared with professionals like teachers, land managers, ornithologists, biologists and conservation workers who have used this data to create BirdCast, a regional migration forecast giving real-time predictions of bird migration for the first time ever. This uses machine learning to predict migration and roosting patterns of different species of birds. This will provide benefits by providing more accurate intelligence for land planning and management and allowing necessary preparations for areas prone to roosting bird gatherings.


2.3. Earthcube Project

This project was launched 5 years ago with an aim to produce a living 3D replica of Earth to serve scientists of different disciplines. Computer science and big data have been used to build interconnected projects that are used in this project. Earthcube funds a variety of projects like the Coral Reef Science & Cyber infrastructure-Network (CRESCYNT). Species databases, image analysis software and 3d mapping are used to monitor the decline of the coral reef’s structural changes, coral disease and bleaching and sea temperatures. This research will finally lead to a greater understanding to help preserve coral reef.

The document Big Data is Helping in Wildlife Conservation | Big Data & Analysis Tutorial: Introduction - Software Development is a part of the Software Development Course Big Data & Analysis Tutorial: Introduction.
All you need of Software Development at this link: Software Development
13 docs

FAQs on Big Data is Helping in Wildlife Conservation - Big Data & Analysis Tutorial: Introduction - Software Development

1. What is big data and how is it being used in wildlife conservation?
Big data refers to large and complex datasets that cannot be easily processed using traditional methods. In wildlife conservation, big data is being used to collect and analyze vast amounts of information about animal behavior, habitat, and population dynamics. This data is then used to make informed decisions and develop effective conservation strategies.
2. How does big data help in monitoring and tracking wildlife?
Big data enables the use of various technologies such as GPS tracking, remote sensing, and camera traps to collect real-time information about wildlife movements and behaviors. This data can be analyzed to identify patterns, understand migration routes, monitor population trends, and detect potential threats or poaching activities.
3. What are the benefits of using big data in wildlife conservation?
Using big data in wildlife conservation offers several benefits. It allows researchers and conservationists to gather more accurate and comprehensive information about wildlife populations, which can lead to more targeted conservation efforts. Big data also facilitates collaboration and data sharing among different organizations and researchers, enhancing the overall effectiveness of conservation initiatives.
4. Are there any challenges or limitations to using big data in wildlife conservation?
Yes, there are challenges and limitations to using big data in wildlife conservation. One major challenge is the sheer volume and complexity of the data, which requires advanced analytical tools and expertise to process and interpret. Additionally, there may be limitations in data availability, particularly in remote or inaccessible areas. Maintaining data privacy and ensuring ethical use of the data are also important considerations.
5. Can you provide examples of how big data has made a positive impact on wildlife conservation?
Certainly! Big data has made significant contributions to wildlife conservation. For example, in the study of elephant populations, researchers have used big data analytics to track and predict their movements, leading to more effective anti-poaching efforts. In marine conservation, big data has helped identify critical habitats for endangered species, enabling targeted conservation actions. Additionally, big data analysis has aided in understanding the impact of climate change on wildlife and developing adaptive management strategies.
13 docs
Download as PDF
Explore Courses for Software Development exam
Signup for Free!
Signup to see your scores go up within 7 days! Learn & Practice with 1000+ FREE Notes, Videos & Tests.
10M+ students study on EduRev
Download the FREE EduRev App
Track your progress, build streaks, highlight & save important lessons and more!
Related Searches

past year papers

,

Semester Notes

,

ppt

,

Sample Paper

,

Big Data is Helping in Wildlife Conservation | Big Data & Analysis Tutorial: Introduction - Software Development

,

MCQs

,

Big Data is Helping in Wildlife Conservation | Big Data & Analysis Tutorial: Introduction - Software Development

,

study material

,

Extra Questions

,

Free

,

Important questions

,

video lectures

,

practice quizzes

,

shortcuts and tricks

,

Summary

,

Objective type Questions

,

Big Data is Helping in Wildlife Conservation | Big Data & Analysis Tutorial: Introduction - Software Development

,

Exam

,

Previous Year Questions with Solutions

,

Viva Questions

,

pdf

,

mock tests for examination

;