Drivers of species composition in arable‐weed communities of the Austrian–Hungarian borderland region: What is the role of the country?

Author:

Pinke Gyula1ORCID,Vér András1ORCID,Réder Krisztina1ORCID,Koltai Gábor1ORCID,Schlögl Gerhard2,Bede‐Fazekas Ákos34ORCID,Czúcz Bálint5ORCID,Botta‐Dukát Zoltán3ORCID

Affiliation:

1. Albert Kázmér Faculty of Mosonmagyaróvár Széchenyi István University Mosonmagyaróvár Hungary

2. Projektberatung Schlögl Draßmarkt Austria

3. HUN‐REN Centre for Ecological Research Institute of Ecology and Botany Vácrátót Hungary

4. Faculty of Science, Department of Environmental and Landscape Geography ELTE Eötvös Loránd University Budapest Hungary

5. Norwegian Institute for Nature Research Trondheim Norway

Abstract

AbstractQuestionsDue to their high ecological and agronomical variability, borderland regions offer an excellent opportunity to study assembly patterns. In this study we compared the influence of various factors on summer annual weed communities consisting of both native and introduced species.LocationThe borderland region of Austria and Hungary.MethodsWe assessed the abundance of weed species in 300 fields of six summer annual crops, and collected information on 26 background variables for each plot. We applied redundancy analysis (RDA) to estimate multivariate species responses and variation partitioning to compare the relative importance of three groups of variables (environmental variables, management variables, and country as a singleton group), and we also checked for statistical association between country and the predictors of the other two groups.ResultsThe full RDA model explained 22.02% of the variance in weed species composition. Variation partitioning showed that environment and management had similarly high (~8%) influence on weeds, while country had a modest yet substantial (~1%) effect, and there was relatively little overlap between the variance attributable to the three groups. Comparing the individual variables, country ranked third (after preceding crop, and actual crop). The effects of 15 further variables were also significant, including seven management, and seven environmental variables, as well as the location of the sampling plots within the fields. Comparisons between the countries showed that farming type, preceding crops, tillage system, tillage depth and field size were significantly different between the countries.ConclusionsCountry exhibited a small but significant influence on weed community composition, which could not be explained with easily accessible management and environmental variables. This suggests that the distinct historical agronomical background of the two countries, possibly involving some legacies of the former Iron Curtain period, still has an impact on the weed species composition of arable fields.

Publisher

Wiley

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