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

IF 2 3区环境科学与生态学 Q3 ECOLOGY

Applied Vegetation Science Pub Date : 2024-01-05 DOI:10.1111/avsc.12764

Gyula Pinke, András Vér, Krisztina Réder, Gábor Koltai, Gerhard Schlögl, Ákos Bede-Fazekas, Bálint Czúcz, Zoltán Botta-Dukát

{"title":"Drivers of species composition in arable-weed communities of the Austrian–Hungarian borderland region: What is the role of the country?","authors":"Gyula Pinke, András Vér, Krisztina Réder, Gábor Koltai, Gerhard Schlögl, Ákos Bede-Fazekas, Bálint Czúcz, Zoltán Botta-Dukát","doi":"10.1111/avsc.12764","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Questions</h3>\n \n <p>Due 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.</p>\n </section>\n \n <section>\n \n <h3> Location</h3>\n \n <p>The borderland region of Austria and Hungary.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We 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.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The 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.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Country 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.</p>\n </section>\n </div>","PeriodicalId":55494,"journal":{"name":"Applied Vegetation Science","volume":"27 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/avsc.12764","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Vegetation Science","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/avsc.12764","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Questions

Due 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.

Location

The borderland region of Austria and Hungary.

Methods

We 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.

Results

The 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.

Conclusions

Country 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.

Abstract Image

查看原文本刊更多论文

奥地利-匈牙利边境地区耕地杂草群落物种组成的驱动因素：国家的作用是什么？

问题由于生态和农艺的高度可变性，边境地区为研究集结模式提供了绝佳的机会。在这项研究中，我们比较了各种因素对由本地物种和引进物种组成的夏季一年生杂草群落的影响。地点奥地利和匈牙利的边境地区。方法我们评估了 300 块种植有六种夏季一年生作物的田地中杂草物种的丰度，并收集了每块地 26 个背景变量的信息。我们采用冗余分析（RDA）来估计多变量物种响应，并采用变异分区来比较三组变量（环境变量、管理变量和作为单组的国家）的相对重要性，我们还检查了国家与其他两组预测因子之间的统计关联。结果完整的 RDA 模型解释了杂草物种组成变异的 22.02%。变异分区显示，环境和管理对杂草的影响同样较高（约 8%），而国家的影响虽然不大，但也相当可观（约 1%），三组变异之间的重叠相对较少。比较各个变量，国家排名第三（仅次于前茬作物和实际作物）。另外 15 个变量的影响也很显著，包括 7 个管理变量和 7 个环境变量，以及田间取样地块的位置。国家间的比较表明，耕作类型、前茬作物、耕作制度、耕作深度和田块大小在国家间存在显著差异。结论国家对杂草群落组成的影响虽小，但却很明显，这无法用容易获得的管理和环境变量来解释。这表明，两国不同的农艺历史背景（可能涉及前铁幕时期的一些遗留问题）仍然对耕地杂草物种组成有影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Applied Vegetation Science 环境科学-林学

CiteScore

6.00

自引率

10.70%

发文量

审稿时长

3 months

期刊介绍： Applied Vegetation Science focuses on community-level topics relevant to human interaction with vegetation, including global change, nature conservation, nature management, restoration of plant communities and of natural habitats, and the planning of semi-natural and urban landscapes. Vegetation survey, modelling and remote-sensing applications are welcome. Papers on vegetation science which do not fit to this scope (do not have an applied aspect and are not vegetation survey) should be directed to our associate journal, the Journal of Vegetation Science. Both journals publish papers on the ecology of a single species only if it plays a key role in structuring plant communities.