Map of Life: Preserving biodiversity with data
Wednesday, December 20, 2017
About Map of Life Map of Life supports global biodiversity education, monitoring, research, and decision-making by integrating and analyzing global information about species distributions and dynamics. Using hosted cloud technology, Map of Life makes its data available to scholars, researchers, students, teachers, and conservationists.
Industries: Education, Non-profit Location: United States Products: App Engine, BigQuery, Cloud SQL, Cloud Storage, Compute Engine, Google Earth Engine
Map of Life supports biodiversity education, monitoring, research, and decision-making by using Google Cloud Platform products to collect, analyze, and visually represent global data
Stores over 600M records for 44K+ species
Google Cloud Platform Results Speeds up data analysis required for accurate assessments of endangered species Provides scientific evidence to support conservation efforts Scales on demand to support additions and updates to large data volumes Stores over 600M records for 44K+ species
The richness and diversity of life on Earth is fundamental to the complex systems that inhabit it. But phenomena including climate change, pollution, unsustainable agriculture, and habitat destruction and degradation threaten the planet’s ecosystems and inhabitants. The World Wildlife Fund (WWF) estimates that wildlife populations worldwide declined by 58% between 1970 and 2012.
To reverse such trends, scientists, conservationists, and governments need to know where and how to target efforts to help prevent extinction and preserve biodiversity. Yale University and the University of Florida (UF) partnered to tackle the challenge by collecting and analyzing global sources of data and making information available to help guide research, policy, and conservation.
“Google Cloud Platform offers all the tools we need for large-scale data management and analysis. Its integration with Google Earth Engine makes it ideal for data visualization.” —Walter Jetz, Associate Professor, Department of Ecology and Evolutionary Biology, Yale University
Their solution, Map of Life, contains data about vertebrates, plants, and insects from international, national, and local sources, including BirdLife International, International Union for Conservation of Nature (IUCN), the Global Biodiversity Information Facility (GBIF). Yale and UF chose Google Cloud Platform to support Map of Life’s data storage, analysis, and mapping because of its superior ability to scale, integrate, manage, mine, and display data.
“Google Cloud Platform offers all the tools we need for large-scale data management and analysis,” says Walter Jetz, Associate Professor, Department of Ecology and Evolutionary Biology at Yale University. “Its integration with Google Earth Engine and Google Maps make it ideal for data visualization.”
Mapping where species are at-risk
Map of Life currently draws from more than 600 million records worldwide that contain information about approximately 44,351 species of vertebrates, plants, and insects and more than 700,000 species names, stores the information in Google Cloud Storage. Its scalable, high-performance architecture also includes the Google App Engine platform-as-a-service (PaaS) to host application logic and feed information to various user interfaces via RESTful application program interfaces (APIs). Geolocation and spatial data can be analyzed and displayed through Google App Engine APIs that connect to the Google Earth Engine, and CARTO geolocation data cloud platforms. The Map of Life CARTO service runs on Google Compute Engine virtual machines to improve scalability of on-demand vector mapping and query needs.
Combining data from multiple sources allows Map of Life to estimate the distribution of and trends within at-risk species and make this information available to naturalists, conservation groups, natural resource managers, scientists, and interested amateurs. Anyone who visits the website or downloads the mobile app can view the information.
Google Compute Engine performs complex data analyses to predict which species are at risk. The science behind understanding biodiversity and identifying and predicting trends within species requires multiple analytic iterations, each of which accounts for corrections and new input from scientists. Google Compute Engine is particularly well suited for this because of how quickly it processes each iteration.
“Map of Life uses Google BigQuery to analyze massive data sets, quickly. We can perform a query on 600 million species occurrence records in less than a minute, helping scientists reach conclusions more quickly.” —Jeremy Malczyk, Lead Software Engineer, Map of Life
“Every day we’re gathering more data, including from remote sensors,” says Walter. “Using Google Cloud Platform and Google Earth Engine, we’re able to make more accurate predictions about at-risk species worldwide.”
Map of Life continually incorporates new data sets, including those from individual observers who submit observations about vertebrates, plants, and insects. The platform even integrates remote-sensing data from Google Earth Engine and uses Google BigQuery to analyze large sets of unstructured data.
“Map of Life uses Google BigQuery to analyze massive data sets, quickly,” says Jeremy Malczyk, Lead Software Engineer for Map of Life. “We can perform a query on 600 million species occurrence records in less than a minute, helping scientists reach conclusions more quickly.”
Global conservation powered by data More than 100,000 scientists and concerned citizens already use Map of Life for biodiversity research and discovery. Map of Life is also developing new tools and visualizations to support the specific needs of government agencies and conservation organizations to help support the development of environmental policy.
The Chicago Field Museum and Map of Life received a $300,000 MacArthur Foundation grant to support conservation efforts in South America. Map of Life is creating data visualization dashboards for park managers, who can use the biodiversity information to improve conservation strategies in protected areas across Colombia, Ecuador, and Peru.
“Humankind has historically had very little information about biodiversity with sufficient spatial detail at a global scale. Map of Life is setting out to change that,” adds Walter. “By combining in data and models we aim to help everyone from eco-tourists who can appreciate biodiversity wherever they travel, to resource managers who need to handle development in a sustainable way, and to governments who want to protect biodiversity.”