The surveys in #AWME are use a range of methodologies and contain different data types so compiling them for analysis can be challenging. We identified 6 key challenges and provide some potential solutions
i) species nomenclature
ii) Comparability of environment and management data
iii)Compatibility of abundance measures
iv)The relative timing (season) of sampling
v)Balance of data and spatial sampling biases
vi) Disparity in plot size between surveys

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To start, for those unfamiliar with #AWME

The ‘Arable Weeds and Management in Europe’ (AWME) database is a collection of 36 arable vegetation surveys and their associated management data. The collection is open to new data submissions or data requests for research

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New paper is now online in #WeedResearch

The utility of the ‘Arable Weeds and Management in Europe’ database: Challenges and opportunities of combining weed survey data at a European scale

https://doi.org/10.1111/wre.12562

#NewPaper #AWME #WeedSurvey #DataScience #DataAnalysis #Ecology #VegetationScience @ecologies