Collaborative Research: ABI Development: A toolbox for analysis of long-term ecological dynamics using the Kepler Workflow System
- Matthew B. Jones
- Scott L. Collins
- Corinna Gries
|Workshop||5th—7th February 2014||Participant List|
Ecological communities are highly dynamic in space and time. Analysis of spatial variability has a long history in ecology, yet because of the historical dearth of long-term, well- documented, on-line datasets we know comparatively little about rates and patterns of temporal change in ecological communities. Fortunately, an expanding array of long-term datasets is now available through sources such as the LTER Network and LTREB program. This growing availability of high-resolution (annual) temporal data sets creates new opportunities to address questions about how ecological communities change over time in response to global environmental change. Although, several metrics for analyzing long-term change in biotic communities have been developed, most are used in one-off approaches, frequently involving calculations, modeling, and visualization in spreadsheets or custom programs (e.g., Rank Clocks). Most of these indices are not available in common statistical packages. We propose to combine two open source programs, the statistical package R and the Kepler workflow system, to make long-term community change analysis more accessible. Taking the extra step and encoding complete workflows for community analysis in Kepler will provide the option of re-running analyses whenever new data are available. The output, a value added data product, may be used for purposes well beyond detecting and interpreting community change. We will improve Kepler's workflow sharing subsystems to grow an enthusiastic group of ecological researchers that create and share temporal community analyses to accelerate the study of community change. And finally, we will refactor Kepler's data handling subsystems to be compatible with the emergent DataONE repository federation. Intellectual merit: As ecologists continue to gather long-term data at site, regional, continental and global scales, there will be an increasing need for tools to measure the pattern and rate of change in plant and animal communities in response to multiple environmental drivers. Gathering together multiple metrics of ecological dynamics into one toolbox will provide ecologists with a new set of tools for quantifying how communities change over time. Our proposed approach builds upon many recent informatics developments (Kepler, DataONE, Ecological Metadata Language) to advance ecological research. Long-term data sets collected by LTER sites and others will be used to demonstrate data and system accessibility and interoperability, and through implementation of new metrics we will gain insights into community change on a continental scale. Data will be accessed via the DataONE portal and the LTER Network Information System using metadata encoded in the Ecological Metadata Language and analyzed with R routines in Kepler workflows. Broader Impacts: The toolbox will make community analysis more accessible and in turn expose a variety of indices to wider use, thorough testing, and open discussion of applicability for quantifying and visualizing ecological dynamics. Existing workflows will help reduce effort in data preparation and foster unprecedented potential for collaboration. Value added data products of community change indices across habitats are particularly valuable for education and outreach, and in broader synthetic activities related to environmental health, management, and dynamics at larger scales. Through the LTER Schoolyard program these data and understanding of environmental change will reach a large number and diversity of schoolchildren.