Post provided by AUD HALBRITTER
CHINESE TRANSLATION PROVIDED BY HUI TANG
Climate change is threatening biodiversity and ecosystems around the world. We urgently need to better understand how species and ecosystems respond to these changes. There are already thousands of climate change experiments and observational studies out there that could be used to synthesise findings across systems and regions. But it turns out that making meaningful syntheses isn‘t always so straightforward!
The Need for Standardised Methods and Reporting
There are two major challenges (and some minor ones too) for synthesising data across different experiments. First, the data are not always available. This problem arises because key study information – such as metadata, covariates or methodological details – are often not adequately or consistently reported across studies.
The second problem is that scientists use different protocols. This leads to a diversity of ways of measuring and quantifying the same variables. Different protocols may measure or report the same variables in slightly different ways, so the data are not compatible. Consistency in measurements and protocols is one reason why working in large networks – such as ITEX, Herbivory, or NutNet – to name only a few, is so powerful. In these networks, experiments and observations are repeated across large regions or worldwide using strict protocols for experimental design and measurements. Continue reading