
How digital technology could help save this keystone species

Using Big Data
to help save endangered species
Big Data refers to the processing of massive and complex data sets, which help in analysis of a predetermined goal.
In conservation it can help with:
Awareness: Big Data creates awareness in people, recovery agencies, and governments to take necessary, appropriate and timely actions.
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Information: Software helps manage data, identify, and analyze the behavioral patterns, eating habits, habitats, health problems, migration history and trends, adaptability, and the impact of climate change.
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Planning: Big Data tools allow scientists and the U.S. Fish and Wildlife Service to increase the protection of threatened species by strategized planning: the time involved, benefits of recovery, and cost factors.
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Budgeting: Big Data can help in fund allocation and fund raising, expense control and monitoring to achieve the priorities and objectives of the campaign.
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Problem Identification: Big Data can identify the issues, size of the problem and offer alternative actions.
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Decision Making: Big Data gives a clear picture of connecting and missing links in the data, giving us an idea of human impacts and modifications to aid the recovery program.
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Forecasting: Big Data can give an accurate projection of the numbers that can be recovered or protected in the stipulated time with the existing funds.
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Alerts: Big Data quickly identifies any unusual, sudden changes in activity or behaviour, or health conditions, such as decreases in birth rates, increases in death or disease.
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Targets: Big Data gives a clear picture for future goals to save the environment and the species.
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R & D: Big Data provides a vast amount of historic data that is needed to deliver change.
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Transferability: Big Data used to save some species can be applied to other endangered species to speed their recovery.