Joining weed survey datasets for analyses on a European scale a proposal Jana Bürger Bärbel Gerowitt Crop Health, University Rostock, Germany European Weed Research Society WG Meeting Weeds and Biodiversity Riga 2016
Precipitation Why? Data on occurences and environment Soil Precipitation Temperature Environmental Niche (environmental conditions) Species records Distribution (Projection) Geographic space Distribution model Mean temperature Var 1+ Var 2+ Var 3 + Var Environmental space
Why?
Why? Solanum nigrum 51.0 52.0 53.0 54.0 recent now 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 51.0 52.0 53.0 54.0 future 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 6 7 8 9 10 11 12 6 7 8 9 10 11 12 p/a p/a 51.0 52.0 53.0 54.0 1.0 0.8 0.6 0.4 0.2 0.0 51.0 52.0 53.0 54.0 1.0 0.8 0.6 0.4 0.2 0.0 6 7 8 9 10 11 12 6 7 8 9 10 11 12
Precipitation Why? Not each plant is a problem. Environmental niche damage niche Damage niche Mean temperature
Maize weeds in Europe Highly significant, occuring widespread and regularly Meissle et al. (2010) J. Appl. Entomol. 134 357 375
Chenopodium album Environmental niche Damage niche Setaria viridis 51.0 51.5 52.0 52.5 53.0 53.5 54.0 6 7 8 9 10 11 12 1.0 0.5 0.0 51.0 51.5 52.0 52.5 53.0 53.5 54.0 6 7 8 9 10 11 12 1. 0. 0. 51.0 51.5 52.0 52.5 53.0 53.5 54.0 1.0 0.5 0.0 51.0 51.5 52.0 52.5 53.0 53.5 54.0 1. 0. 0. 6 7 8 9 10 11 12 6 7 8 9 10 11 12
How would it be done? Make data visible Collaborate on analyses Talk about possible & necessary extra data Build data base Learn from other disciplines
Make data visible Continuum of visibility: list within Working Group --> public Collect list of data sets
Make data visible Continuum of visibility: list within Working Group --> public Collect list of data sets Publish metadata in GIVD
Make data visible
Make data visible Continuum of visibility: list within Working Group --> public Collect list of data sets Publish metadata in GIVD Data base report
Make data visible
Collaborate on analyses Distribution and distribution changes Weed communities Relationship environment managementweed (community)
Work on data Email discussions, small working group Agree on minimum extra information required Unify formats Use tools (Turboveg, R ) Hands on Workshop (Funding by EWRS, sdiv, Volkswagen Foundation)
Organise and build data base Money? Collaborations WeedMap initiative Vegetation scientists: European Vegetation Archive Adapting existing structures
What s to be gained In general: Easier access to data for many Interdisciplinarity For you: Data Publications Citations Exchange
What would YOU be interested in?
Acknowledgement I thank the EWRS for their help to attend the meeting with a travel grant.
Species loss in arable weed vegetation Recent review (Richner et al. 2014 Weed Research 55, 1 13) 53 data sets with an average 252 plots Denmark: Andreasen et al. 1996 Journal of Applied Ecology 33: 619-626 Germany: Baessler & Klotz 2006 Agriculture, Ecosystems and Environment 115:43-50 France: Fried et al. 2009 Journal of Vegetation Science 20:49-58 Decline in average species number per plot: 20% Mainly characteristic or threatened arable weed species Increase in average species number per plot in studies after 1980. Species preferring nutrient-rich sites, neophytes and monocotyledons
Learn about weeds. Use ecological methods. Typical associations and shaping factors Weeds surveys and resurveys Recent Review (Hanzlik & Gerowitt 2016 Agron. Sustain. Dev. 36:11) 43 surveys on farmed fields up to nine crops periods of 1 to 67 years 59 to 4423 fields unified methodology needed for good comparability