Journal article
Integrating multiple data types to connect ecological theory and data among levels
JDL Yen, Z Tonkin, J Lyon, W Koster, A Kitchingman, K Stamation, PA Vesk
Frontiers in Ecology and Evolution | FRONTIERS MEDIA SA | Published : 2019
Open access
Abstract
Ecological theories often encompass multiple levels of biological organization, such as genes, individuals, populations, and communities. Despite substantial progress toward ecological theory spanning multiple levels, ecological data rarely are connected in this way. This is unfortunate because different types of ecological data often emerge from the same underlying processes and, therefore, are naturally connected among levels. Here, we describe an approach to integrate data collected at multiple levels (e.g., individuals, populations) in a single statistical analysis. The resulting integrated models make full use of existing data and might strengthen links between statistical ecology and e..
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Awarded by Australian Research Council Centre of Excellence for Environmental Decisions
Funding Acknowledgements
JY and PV were supported by the Australian Research Council Centre of Excellence for Environmental Decisions (CE11001000104). Data collections used in this work were funded by the Murray Darling Basin Authority, the Commonwealth Environmental Water Office Long-Term Intervention Monitoring project, and the Victorian Environmental Flow Monitoring and Assessment Program, Department of Environment, Land, Water and Planning. JY received additional funds from The University of Melbourne and The Robert Johanson and Anne Swann Fund.