Remotely Sensed High-Resolution Global Cloud Dynamics for Predicting Ecosystem and Biodiversity Distributions

Data and Resources

Additional Info

Field Value
Last Updated September 11, 2018, 09:07 (UTC)
Created July 26, 2018, 11:32 (UTC)
Language Eng
Original language English
Abstract Presenting a dataset that reveals cloud cover dynamics at unprecedented spatial resolution to improve predictions of habitats, ecosystem, and species distributions with reduced spatial autocorrelation compared to commonly used interpolated climate data.
License CC-BY-4.0
Classification Geoscientific information
Responsible party Organisation: PLOS
Role: Publisher
Related publications Wilson Adam M., and Walter Jetz (2016). "Remotely sensed high-resolution global cloud dynamics for predicting ecosystem and biodiversity distributions." PLoS biology 14, no. 3: e1002415.