Workshop 4 (January 12)
Integrative analysis of spatial biodiversity data and Map of Life
Morning - 8:30 AM to 12:00 PM, Room S59, building RW I [link to map]
- up to 40 participants -
- Walter Jetz, Yale University, Department of Ecology and Evolutionary Biology, New Haven,CT, USA
- Adam Wilson, Department of Ecology and Evolutionary Biology, New Haven,CT, USA
- Rob Guralnick, Department of Biology, CU Boulder, USA
- Katrin Böhning-Gaese, Biodiversity and Climate Research Centre (BiK-F), Frankfurt, Germany
Aim and Content:
Spatial biodiversity data, together with environmental information, are growing rapidly providing a remarkable opportunity for integration in support of global change biology and biogeography. However, datasets usually suffer from data gaps, varying observer effort, and spatial and environmental biases that impede use and inference. Integration of different data sources and types together with appropriate modeling approaches can provide critical help to address these issues. The skills required to handle data quality issues, data assimilation and modeling of large, heterogeneous datasets are different from those usually taught in professional training programs. This workshop therefore fulfills a critical need.
The workshop will first provide an overview of the different pitfalls of spatial biodiversity data analysis, in fields ranging from biodiversity and ecological informatics, species distribution modeling, species niche characterization, species richness analyses to trait biogeography and conservation assessments. Second, it will provide examples of the way inclusion of different data types and sources, as well as not-yet standard modeling approaches can help quantify and potentially overcome these problems. One particular emphasis will be occupancy-based and Bayesian models. Third, it will introduce new tools in the Map of Life infrastructure as platform for performing many of these assessments. It will also provide a larger overview on how to contribute to the project and thus support others for similar assessments.