The roses a.41 solicitation highlights the need within the earth science community to develop a more complete and more accurate understanding of the temporal and spatial behavior of plant and…

The National Aeronautics and Space Administration (NASA) awarded a $147,669.01 grant to the University of Arizona (doing business as the Arizona Board of Regents) to develop an Advanced Pheno-Climatic Information System (APIS). The objective is to create a data framework that consolidates phenological (seasonal natural phenomena) and climate data to improve research collaboration and the speed of results publication related to the impact of climate change on plant and animal populations. The grant does not have a set-aside designation. The University of Arizona, a U.S. state government entity and educational institution, will leverage existing expertise, techniques, and networks to build APIS through an iterative approach with three increasingly complex use cases. This work supports NASA's Earth science research priorities, specifically the need to better understand the spatial and temporal relationships between environmental parameters and organismal populations.

The roses a.41 solicitation highlights the need within the earth science community to develop a more complete and more accurate understanding of the temporal and spatial behavior of plant and animals species. IT specifically calls for the analysis of time series measurements of key environmental parameters with the spatiotemporal distribution of organismal populations, communities, and species for improved understanding of the impact of climate change." phenological observations (the study of cyclic and seasonal natural phenomena, especially in relation to climate and plant and animal life) are highly relevant to these needs. There are extensive existing efforts to collect phenologically-relevant information, including a range of data from in situ, to near-surface cameras and flux towers, to airborne data, to polar orbiting and geostationary satellites. There are also significant efforts to provide gridded historical and projected climate data. However, there is no consolidated effort to compile spatially-associated pheno-climatic information into a data framework that would improve information comparison and reuse, facilitate collaboration within the research community, and increase the speed of production and publication of results related to the needs identified in the solicitation. Here, our objective is to develop an advanced pheno-climatic information system (apis). The system will incorporate tools, workflows, and software for bringing phenological and climate data together. Apis will be designed to leverage existing expertise, techniques, and networks as much as possible. The primary benefit of this effort is that IT will focus on providing pheno-climatic data in way that would allow the scientific community to test families of hypotheses generated from the seed hypothesis that climate change is influencing the spatial distribution and temporal behavior of key populations of organisms, communities, and species. Founded in this seed hypothesis, our proposed methodology is to build apis with an iterative and agile programming approach and in parallel to a series of increasingly more complex use cases. These three use cases will both provide insights into constructing the information system as well as demonstrate its utility. We start with a fairly straightforward use case connecting observations at point locations to gridded phenology data. We then develop a more involved use case exploring the validation of satellite-based phenology products. Finally, we explore a more complex use case pertaining to the phenology of wildland corridors.