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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.

Ding, Yuanzhao. (2020). Current technologies and interdisciplinary research on biodiversity conservation. 10.14293/S2199-1006.1.SOR-.PPN9360.v2.

Schematic-illustration-showing-big-data-integrating-the-different-aspects-of-information.p
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