Our ability to preserve and protect the nation’s premier natural areas for present and future generations is increasingly endangered by a variety of threats, including global climate change. This session brings together several speakers from the federal government, academia, and non-profit organizations who are developing and implementing methods for monitoring climate change through plant and animal phenology and remote sensing. The first speakers will describe some of the longest running citizen science phenology programs in the United States, and will discuss what the data are showing about phenology, as well as the unique difficulties and opportunities of citizen-based monitoring. The next two speakers will introduce attendees to two of the major ground-based methods for monitoring phenology: observational and photographic data. They will each present current results from their active research programs, and discuss the challenges that must be met to scale their research to a regional or national level. The following speakers will describe the progress being made to integrate phenology data collected using multiple methods and at different spatial scales; the first of these speakers will also talk about the use of acoustic recorders for monitoring phenology. Integration ranges from using the data from one method as a quality check on a different method, to enhancing our understanding about how phenology varies at different spatial scales, to incorporating multiple data streams (e.g., weather data) in order to better explain phenological patterns and trends. The final presentation focuses on the landscape level, and will introduce attendees to the methods and results of phenology models based on remotely sensed data, and demonstrate how the models are being integrated into tools to support natural resource management and climate change adaptation. This session presents a cross-section of the science behind monitoring phenology. It will be of broad interest to ESA members seeking to understand the latest methods for measuring and tracking phenology, as well as those interested in how ecological data can be used effectively by resource managers.