Effects of environmental factors on weed species composition of cereal and stubble fields in western Hungary

Pinke, Gyula; Pál, Róbert W.; Botta‐Dukát, Zoltán

doi:10.2478/s11535-009-0079-0

Cited by 41 publications

(39 citation statements)

References 20 publications

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“…Distribution and establishment of weed communities are affected by several factors including soil properties and weather attributes (Fried et al, 2008;Pinke et al, 2010;Lousade et al, 2013). Preference of a weed species for a particular soil property may increase or decrease density on different soils which are poor or rich in that particular soil property, respectively.…”

Section: Correlation Between Weed Vegetation and Soil Properties/weatmentioning

confidence: 99%

Weed Flora of Citrus Orchards and Factors Affecting its Distribution in Western Mediterranean Region of Turkey

et al. 2018

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-Citrus is an important export commodity, mostly grown on Mediterranean and Aegean coasts of Turkey. Weeds are hidden foes impairing citrus productivity. Limited knowledge of weed distribution and factors affecting the distribution are among major hurdles in successful weed management. In this study, weed flora of citrus orchards and factors affecting its distributions in Mugla province of Turkey were determined. Sixty orchards were surveyed in spring and autumn seasons of 2010 and 2011. Data relating to frequency, coverage and density of weed species were recorded. Soil samples (0-30 cm depth) were collected and analyzed for physicochemical properties. Climatic variables, altitude and soil properties were correlated with weed flora. Sixty-eight weed species belonging to 30 families were documented. Higher number of weed species (54) was recorded in spring season compared with autumn (29 weed species). Annuals and therophytes were the most dominant growth and life forms, respectively. Canonical Correspondence Analysis (CCA) to correlate soil properties and weed vegetation data yielded three distinct groups dominated by phosphorus, sand and silt contents, which affected weed distribution. CCA to correlate vegetation data and weather attributes produced two distinct groups affected by altitude and precipitation. Generally, cosmopolitan weeds adapted to different ecosystems were observed during the survey. Keeping in view the spatial variability of soil and nature of weeds, site-specific/orchard-specific weed management practices are recommended to be opted for successful weed management.Keywords: weeds, multivariate analysis, soil properties, weather. Palavras-chave: plantas daninhas, análise multivariada, propriedades do solo, clima. RESUMO -Os citros

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Section: Correlation Between Weed Vegetation and Soil Properties/weatmentioning

confidence: 99%

Weed Flora of Citrus Orchards and Factors Affecting its Distribution in Western Mediterranean Region of Turkey

et al. 2018

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“…Firstly, the relative importance of climatic variables and altitude was found to decrease with decreasing length of gradients and thus potentially decreases with smaller spatial scale of a study (Lososová et al 2004;Cimalová and Lososová 2009). However, the same variables are also known to decrease in their relative importance towards southern Europe as they are generally more favourable for the weed vegetation there (Holzner and Immonen 1982;Šilc et al 2009;Pinke et al 2010Pinke et al , 2012. Another interesting fact is that variables representing a geographical position or region usually affect species composition much more when they are expressed as eco-region or phytogeographical region (Andersson and Milberg 1998;Hallgren et al 1999;Leeson et al 2000;Šilc et al 2009) rather than purely as latitude and longitude (Fried et al 2008;Hanzlik and Gerowitt 2011).…”

Section: Discussionmentioning

confidence: 99%

“…Substantial differences due to different phenological stages of the weed vegetation during the growing season are bound to appear when the survey includes spring and autumn sown crops (Hallgren et al 1999). Regarding the sampling season, it was found that even within the same crop more variation of the weed vegetation was explained by the season aspect (spring vs. summer) than by any other management or environmental parameter (Pinke et al 2010). For this reason, the sampling date (described, e.g.…”

Section: Sampling Seasonmentioning

confidence: 99%

“…However, canonical methods go one step further as they include the possibility to compute the respective importance of environmental factors both as gross effect and, by applying partial ordination (e.g. pCCA or pRDA; for abbreviations, see Table 2), as net effect corrected for the portion of explained variation shared with other variables (Lososová et al 2004;Fried et al 2008;Pinke et al 2010;Šilc et al 2009;Hanzlik and Gerowitt 2011). Finally, variation partitioning is a procedure where the explained variation is disassembled into components represented by single or thematically grouped variables.…”

Section: Multivariate Statisticsmentioning

confidence: 99%

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Methods to conduct and analyse weed surveys in arable farming: a review

Hanzlik

Gerowitt

2016

Agron. Sustain. Dev.

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Arable weeds always accompany arable farming; however, species and abundances vary in space and change in time. Surveys assess weeds on a large spatial scale. The regional and national importance, the abundances in which weeds occur, is derived from surveys. Environmental and management background data assist to explain the weed vegetation. Arable weed surveys can have an agronomic, a botanical or an ecological purpose-we approach the agronomic viewpoint. Scientific value results from spatial data about the arable weed vegetation for modelling the dependencies and predicting future changes on a large scale. Researchers, botanists, farmers, advisors, herbicide manufacturers and other industry players engaged in weed control can get rationale spatial impressions of trends in the weed vegetation. This review focuses on methodical aspects of weed surveys. Forty-three surveys on farmed fields, mainly but not exclusively undertaken in Europe, done in up to nine crops per survey covering periods of 1 to 67 years and including 59 to 4423 fields were excerpted for suitable methods to conduct and analyse surveys. The methods reflect agronomic and other targets, e.g. from vegetation science. When accessing existing data, the interdependencies of the layout and all targets should be handled with care. When setting up surveys for agronomic purpose, it is worthwhile to include 3 years and apply stratified sampling. We recommend assessing abundances rather than presence only. Weed survey data is most suitable for applying multivariate statistics. We recommend using proven methods, without discouraging to explore others. To collect sound explanatory data demands for robust contacts with land managers. Explanatory variables are important in survey analyses to extract knowledge about the drivers of the weed vegetation. We conclude that extra value can be obtained from existing weed survey data. We propose to setup public-private partnerships as a way to carry on with arable weed surveys.

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“…Šilc et al (2009) showed that the most important parameter in South-Eastern Europe was phytogeography and the second was crop. Pinke et al (2010) suggest that the most variation in species composition was explained by the seasonal aspect. Altitude was the least important factor.…”

Section: Introductionmentioning

confidence: 95%

Weed vegetation of arable land in the Czech Republic: environmental a management factors determining weed species composition

2014

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This paper reports on the current situation in weed vegetation composition on arable land in selected areas of the Czech Republic, assessment of influence of selected variables: applied management systems (conventional, organic), crops (winter cereals, root crops) and altitude and ranking of the importance of these particular factors. A phytocoenological survey was conducted from 2006 to 2008 during a vegetation period using relevés that were 100 m 2 in size, placed in the central part of fields. In total, 202 relevés of agricultural vegetation were recorded. The combined environmental variables explained 10.6% of the variability. Based on the pCCAs, the highest effect was found at altitude, which explains 5.1% of the species composition variability. The second and third most significant factors are crop and management system, which explain 3.3% and 1.8% of the variability, respectively. The lowlands were generally characterised by the thermophilous summer annual weed species. The higher altitudes were populated by species that are typical for colder areas and poor, humid, and acidic soil types, such as cambisoil.

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Effects of environmental factors on weed species composition of cereal and stubble fields in western Hungary

Cited by 41 publications

References 20 publications

Weed Flora of Citrus Orchards and Factors Affecting its Distribution in Western Mediterranean Region of Turkey

Weed Flora of Citrus Orchards and Factors Affecting its Distribution in Western Mediterranean Region of Turkey

Methods to conduct and analyse weed surveys in arable farming: a review

Weed vegetation of arable land in the Czech Republic: environmental a management factors determining weed species composition

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