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Are weed patches stable in location? Application of an explicitly two‐dimensional methodology
Author(s) -
HEIJTING S,
VAN DER WERF W,
STEIN A,
KROPFF M J
Publication year - 2007
Publication title -
weed research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.693
H-Index - 74
eISSN - 1365-3180
pISSN - 0043-1737
DOI - 10.1111/j.1365-3180.2007.00580.x
Subject(s) - chenopodium , weed , echinochloa , population , stability (learning theory) , mathematics , biology , botany , agronomy , demography , machine learning , sociology , computer science
Summary Field observations were made in three years continuous maize cultivation in the Netherlands to study the spatial pattern and stability of spatial pattern over time in agricultural weeds. Two‐dimensional correlograms were made, using data from single years, to characterise spatial correlation and pattern, while data from two different years were used to calculate correlation over space and time, to characterise the stability of pattern. Weeds that were able to attain high recruitment also exhibited the strongest spatial correlations. These weeds were Echinochloa crus‐galli, Chenopodium album, Chenopodium polyspermum and Solanum nigrum. Weeds that were less successful in attaining high densities in the maize rotation, also showed less spatial correlation. Wind dispersing Compositae, e.g. Taraxacum officinale , had spatially uncorrelated patterns. All weeds that showed spatial correlation also showed stability in space, except E. crus‐galli . The latter species showed marked population increase and the locations and extent of its patches changed over the years. Statistical interpretation of the data is discussed, as are potential consequences for site‐specific management and optimal sampling of weeds.