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Spatial Distribution Patterns of Weed Communities in Corn Fields of Central Spain

Published online by Cambridge University Press:  20 January 2017

Carolina San Martín*
Affiliation:
Department of Crop Protection, Instituto de Ciencias Agrarias, CSIC, Serrano 115 B, 28006 Madrid, Spain
Dionisio Andújar
Affiliation:
Department of Crop Protection, Instituto de Ciencias Agrarias, CSIC, Serrano 115 B, 28006 Madrid, Spain
Cesar Fernández-Quintanilla
Affiliation:
Department of Crop Protection, Instituto de Ciencias Agrarias, CSIC, Serrano 115 B, 28006 Madrid, Spain
José Dorado
Affiliation:
Department of Crop Protection, Instituto de Ciencias Agrarias, CSIC, Serrano 115 B, 28006 Madrid, Spain
*
Corresponding author's E-mail: [email protected]

Abstract

The overall objective of this study was to identify common patterns in the spatial distribution of the major weed species present in the corn-growing region of central Spain, exploring the scale dependence of these patterns and the possible associations or dissociations between individual species. Weed density was assessed in 16 commercial fields using digital images acquired in a 9-m by 9-m sampling grid. A set of six species was found in all the fields: black nightshade, common cocklebur, fierce thornapple, johnsongrass, purple nutsedge, and velvetleaf. Spatial analysis by distance indices and inverse distance weighting interpolation methods were performed to create weed distribution maps. The results showed aggregated spatial distribution patterns for all individual species regardless their life cycle, annual or perennial. Some associations and dissociations among species were found in the analysis of interactions. Nevertheless, the spatial patterns of co-occurrence of weed species were field-specific and therefore cannot be considered general patterns of weed co-occurrence. In order to explore the scale dependence of these results, an additional study was conducted in an experimental field located in the same area using a 1.0-m by 0.75-m sampling grid. Although this resolution allowed for a better definition of the positions of the weed patches and weed-free gaps, the results obtained revealed similar patterns to those observed with a coarser sampling resolution.

Type
Weed Biology and Ecology
Copyright
Copyright © Weed Science Society of America 

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Footnotes

Associate Editor for this paper: J. Anita Dille, Kansas State University.

References

Literature Cited

Abdul-Wahab, AS, Rice, EL (1967) Plant inhibition by johnson grass and its possible significance in old-field succession. Bull Torrey Bot Club 94:486497 Google Scholar
Aligner, A, Petit, S (2012) Factors shaping the spatial variation of weed communities across a landscape mosaic. Weed Res 52:402410 Google Scholar
Andújar, D, Barroso, J, Fernández-Quintanilla, C, Dorado, J (2012) Spatial and temporal dynamics of Sorghum halepense patches in maize crops. Weed Res 52:411420 Google Scholar
Andújar, D, Ruiz, D, Ribeiro, A, Fernández-Quintanilla, C, Dorado, J (2011) Spatial distribution patterns of johnsongrass (Sorghum halepense) in commercial corn fields in Spain. Weed Sci 59:8289 Google Scholar
Ballaré, CL, Scopel, AL, Ghersa, CM (1987) The demography of Datura ferox (L.) in soybean crops. Weed Res 27:91102 Google Scholar
Barroso, J, Andújar, D, San Martín, C, Fernández-Quintanilla, Dorado, J (2012) Johnsongrass (Sorghum halepense) seed dispersal in corn crops under Mediterranean conditions. Weed Sci 60:3441 Google Scholar
Barroso, J, Fernández-Quintanilla, C, Maxwell, BD, Rew, LJ (2004) Simulating the effects of weed spatial pattern and resolution of mapping and spraying on economics of site-specific management. Weed Res 44:460468 Google Scholar
Berge, TW, Fyske, H, Aastveit, AH (2007) Patch spraying of weeds in spring cereals: simulated influences of threshold level and spraying resolution on spraying errors and potential herbicide reduction. Acta Agric Scand B-S P 57:212221 Google Scholar
Borgy, B, Gaba, S, Petit, S, Reboud, X (2012) Non-random distribution of weed species abundance in arable fields. Weed Res 52:383389 Google Scholar
Calha, IM, Sousa, E, Gonzalez-Andujar, JL (2014) Infestation maps and spatial stability of main weed species in maize culture. Planta Daninha 32:275282 Google Scholar
Cardina, J, Johnson, GA, Sparrow, DH (1997) The nature and consequence of weed spatial distribution. Weed Sci 45:364373 Google Scholar
Cardina, J, Sparrow, DH, McCoy, EL (1995) Analysis of spatial distribution of common lambsquarters (Chenopodium album) in no-till soybean (Glycine max). Weed Sci 43:258268 Google Scholar
Colbach, N, Forcella, F, Johnson, GA (2000) Spatial and temporal stability of weed populations over five years. Weed Sci 48:366370 Google Scholar
Cousens, RD, Brown, RW, McBratney, AB, Whelan, B, Moerkerk, M (2002) Sampling strategy is important for producing weed maps: a case study using kriging. Weed Sci 50:542546 Google Scholar
Cousens, R, Wallinga, J, Shaw, M (2004) Are the spatial patterns of weeds scale-invariant? Oikos 107:251264 Google Scholar
Dieleman, JA, Mortensen, DA (1999) Characterizing the spatial pattern of Abutilon theophrasti seedlings patches. Weed Res 39:455467 Google Scholar
Dorado, J, Sousa, E, Calha, IM, González-Andújar, JL, Fernández-Quintanilla, C (2009) Predicting weed emergence in maize crops under two contrasting climatic conditions. Weed Res. 49:251260 Google Scholar
Fried, G, Petit, S, Reboud, X (2010) A specialist–generalist classification of the arable flora and its response to changes in agricultural practices. BMC Ecol 10:20 Google Scholar
Gutjahr, C, Sökefeld, M, Gerhards, R (2012) Evaluation of two patch spraying systems in winter wheat and maize. Weed Res 52:510519 Google Scholar
Heijting, S, Kruijer, W, Stein, A, Van der Werf, W (2007) Testing the spatial significance of weed patterns in arable land using Mead's test. Weed Res 47:396405 Google Scholar
Holt, JS (1995) Plant response to light: a potential tool for weed management. Weed Sci 43:474482 Google Scholar
Johnson, GA, Mortensen, DA, Gotway, CA (1996) Spatial and temporal analysis of weed seedling populations using geostatistics. Weed Sci 44:704710 Google Scholar
Kazinczi, G, Beres, I, Narwal, SS (2001) Allelopathic plants. 3. Velvetleaf (Abutilon theophrasti Medic.). Allelopathy J 8:179188 Google Scholar
Li, B, Madden, LV, Xu, X (2012) Spatial analysis by distance indices: an alternative local clustering index for studying spatial patterns. Methods Ecol Evol 3:368377 Google Scholar
Maestre, FT, Cortina, J (2002) Spatial patterns of surface soil properties and vegetation in a Mediterranean semi-arid steppe. Plant Soil 241:279291 Google Scholar
Maestre, FT, Cortina, J, Bautista, S, Bellot, J, Vallejo, R (2003) Small-scale environmental heterogeneity and spatiotemporal dynamics of seedling establishment in a semiarid degraded ecosystem. Ecosystems 6:630643 Google Scholar
Mitskas, MB, Eleftherohorinos, IG, Damalas, CA (2003) Interference between corn and johnsongrass (Sorghum halepense) from seed or rhizomes. Weed Sci 51:540545 Google Scholar
Mortensen, DA, Johnson, GA, Young, LJ (1993) Weed distribution in agricultural fields. Pages 113123 in Robert, PC, Rust, RH, Larson, WE, eds. Soil Specific Crop Management. Madison, WI ASA, CSSA, SSSA Google Scholar
Oveisi, M, Yousefi, AR, Gonzalez-Andujar, JL (2010) Spatial distribution and temporal stability of crenate broomrape (Orobanche crenata Forsk) in faba bean (Vicia faba L.): a long-term study at two localities. Crop Prot 29:717720 Google Scholar
Patterson, DT (1982) Shading responses of purple and yellow nutsedges (Cyperus rotundus and Cyperus esculentus). Weed Sci 30:2530 Google Scholar
Perry, JN (1998) Measures of spatial pattern for counts. Ecology 79:10081017 Google Scholar
Perry, JN, Dixon, PM (2002) A new method to measure spatial association for ecological count data. Ecoscience 9:133141 Google Scholar
Perry, JN, Liebhold, AM, Rosenberg, MS, Dungan, J, Miriti, M, Jakomulska, A, Citron-Pousty, S (2002) Illustrations and guidelines for selecting statistical methods for quantifying spatial pattern in ecological data. Ecography 25:578600 Google Scholar
Perry, JN, Winder, L, Holland, JM, Alston, RD (1999) Red–blue plots for detecting clusters in count data. Ecol Lett 2:106113 Google Scholar
Petit, S, Fried, G (2012) Patterns of weed co-occurrence at the field and landscape level. J Veg Sci 23:11371147 Google Scholar
Pollnac, FW, Rew, LJ, Maxwell, BD, Menalled, FD (2008) Spatial patterns, species richness and cover in weed communities of organic and conventional no-tillage spring wheat systems. Weed Res 48:398407 Google Scholar
Quero, JL (2006) SADIE como herramienta de cuantificación de la heterogeneidad espacial: casos prácticos en el Parque Nacional de Sierra Nevada (Granada, España). Ecosistemas 15:4047 Google Scholar
Rew, LJ, Miller, PCH, Paice, MER (1997) The importance of mapping resolution for sprayer control. Asp Appl Biol 48:4956 Google Scholar
Roham, R, Pirdashti, H, Yaghubi, M, Nematzadeh, G (2014) Spatial distribution of nutsedge (Cyperus spp. L.) seed bank in rice growth cycle using geostatistics. Crop Prot 55:133141 Google Scholar
Vazin, F, Hassanzadeh, M, Madani, A, Nassiri-Mahallati, M, Nasri, M (2010) Modeling light interception and distribution in mixed canopy of common cocklebur (Xanthium strumarium) in competition with corn. Planta Danhina 28:455462 Google Scholar
Wallinga, J, Kropff, MJ, Rew, L (2002) Patterns of spread of annual weeds. Basic Appl Ecol 3:3138 Google Scholar
Weaver, SE, Lechowicz, MJ (1982) The biology of Canadian weeds. 56. Xanthium strumarium L. Can J Plant Sci 63:211225 Google Scholar
Weiher, E, Keddy, PA (1999) Assembly rules as general constraints on community composition. Pages 251271 in Weiher, E, Keddy, PA, eds. Ecological Assembly Rules: Perspectives, Advances, Retreats. Cambridge, UK Cambridge University Press Google Scholar
Winder, L, Alexander, CJ, Holland, JM, Woolley, C, Perry, JN (2001) Modelling the dynamic spatio-temporal response of predators to transient prey patches in the field. Ecol Lett 4:568576 Google Scholar
Xu, X, Madden, LV (2003) Considerations for the use of SADIE statistics to quantify spatial patterns. Ecography 26:821830 Google Scholar
Zanin, G, Berti, A, Riello, L (1998) Incorporation of weed spatial variability into the weed control decision-making process. Weed Res 38:107118 Google Scholar