Googling trends in conservation biology.

Area of Science:

• Conservation Biology
• Environmental Management
• Data Science

Background:

• Web-crawling approaches offer potential for ecological monitoring but lack a defined framework in conservation biology.
• Automated data mining of the internet can provide insights into ecosystem degradation and agricultural cycles.

Purpose of the Study:

• To demonstrate the utility of Google Trends for tracking biological processes, invasive species distribution, and public conservation awareness.
• To establish a methodological framework for applying web-crawling tools in conservation biology.

Main Methods:

• Utilized Google Trends data from 13 countries to analyze biological timing and latitudinal gradients.
• Mapped spatial distribution of 5 invasive species in the US using Google Trends data.
• Analyzed public awareness trends for conservation issues (ecosystem services, biodiversity, climate change) from 2004-2012.
• Developed an algorithm for efficient retrieval of Google Trends data.

Main Results:

• Google Trends successfully tracked seasonal biological events like pollen release and mosquito outbreaks across latitudes.
• Identified geographic patterns of invasive species distribution in the US consistent with known patterns.
• Observed varied trends in public awareness regarding biodiversity, climate change, and ecosystem services.

Conclusions:

• Google Trends is a valuable, accessible tool for conservation biology research, offering insights into ecological processes and public engagement.
• The developed algorithm facilitates further research at the intersection of conservation, collective knowledge, and environmental management.