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Data from: Functional biogeography of weeds reveals how anthropogenic management blurs trait-climate relationships (Q5756)

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Dataset published at Zenodo repository.
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    Data from: Functional biogeography of weeds reveals how anthropogenic management blurs trait-climate relationships
    Dataset published at Zenodo repository.

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      The dataset gathers information onthe 954croplandand 5619 grassland plant assemblages studied in the research articleFunctional biogeography of weeds reveals how anthropogenic management blurs trait-climate relationshipsby Bourgeois, B., Munoz, F., Gaba, S., Denelle, P., Fried, G., Storkey, J. and Violle, C.published in theJournal of Vegetation Science. A R script for analyzing data is also provided. Data include: SURVEY.ID:unique identifier of the plant survey; HABITAT: type of habitat (2 levels: cropland - grassland); CROP TYPE: type of annual crop cultivated forcroplands (4 levels: maize - oilseed - sunflower - winter cereal); HERBICIDE TREATMENT:herbicide treatment forcroplands (2 levels: herbicide-free - herbicide-sprayed); CWM SLA: Community-Weighted Mean of Specific Leaf Area (in m2/ kg); CWM LDMC: Community-Weighted Mean of Leaf Dry Matter Content (in mg / kg); CWM LNC: Community-Weighted Mean of Leaf Nitrogen Content(in mg N / kg); CWVSLA: Community-Weighted Variance of Specific Leaf Area (in m2/ kg); CWVLDMC: Community-Weighted Variance of Leaf Dry Matter Content (in mg N / kg); CWVLNC: Community-Weighted Variance of Leaf Nitrogen Content(in mg / kg); GSLtw: Growing Season Length (in days) accounting for both temperature and soil water limitations; Xcoord, Ycoord: coordinates of the plant survey. Please contact the authors for further information.
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      12 February 2021
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