When does the spatial pattern of weeds matter? Predictions from neighborhood models

Ecological Applications

Volumn 8, Issue 4, 1998, Pages 1250-1259

  Garrett, Karen A ^a,b   Dixon, Philip M ^b  

^a OREGON STATE UNIVERSITY   (United States)

^b UNIVERSITY OF GEORGIA   (United States)

Author keywords

Aggregation; Area of influence; Competition; Economic thresholds; Interference; Neighborhood models; Spatial pattern; Spatial scale; Weed crop interaction

Indexed keywords

COMPETITION; MODELING; SPATIAL ANALYSIS; WEED CONTROL;

EID: 0031791449     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/1051-0761(1998)008[1250:WDTSPO]2.0.CO;2     Document Type: Article

References (34)

1. Auld, B. A., and C. A. Tisdell. 1988. Influence of spatial distribution on weeds on crop yield loss. Plant Protection Quarterly 3:81.
2. Brain, P., and R. Cousens. 1990. The effect of weed distribution on predictions of yield loss. Journal of Applied Ecology 27:735-742.
3. Byrd, J. D., Jr., and H. D. Coble. 1991. Interference of common cocklebur (Xanthium strumarium) and cotton (Gossympium hirsutum). Weed Technology 5:270-278.
4. Cardina, J., D. H. Sparrow, and E. L. McCoy. 1995. Analysis of spatial distribution of common lambsquarters (Chenopodium album) in no-till soybean (Glycine max). Weed Science 43:258-268.
5. Char, C. W., K. O. Geddes, G. H. Gonnet, B. L. Leong, M. B. Monagan, and S. M. Watt. 1991. Maple V language reference manual. Springer-Verlag, New York, New York, USA.
6. Clark, S. J., J. N. Perry, and E. J. P. Marshall. 1996. Estimating Taylor's power law parameters for weeds and the effect of spatial scale. Weed Research 36:405-417.
7. Cousens, R. 1985. A simple model relating yield loss to weed density. Annals of Applied Biology 107:239-252.
8. Dessaint, F. and J.-P. Caussanel. 1994. Trend surface analysis: a simple tool for modelling spatial patterns of weeds. Crop Protection 13:433-438.
9. Garrett, K. A. 1995. Selecting a sampling method for weed densities: the case of weed removal in strips. Weed Science 43:394-401.
10. Garrett, K. A., and P. M. Dixon. 1997. Environmental pseudointeractions: the effects of ignoring the scale of environmental variability in competition studies. Theoretical Population Biology 51:37-48.
11. Goldberg, D. E. 1987. Neighborhood competition in an oldfield plant community. Ecology 68:1211-1223.
12. Hughes, G. 1989. Spatial heterogeneity in yield-weed relationships for crop-loss assessment. Crop Research 29:87-94.
13. _. 1996. Incorporating spatial pattern of harmful organisms into crop loss models. Crop Protection 15:407-421.
14. Kotz, S., and N. L. Johnson. 1969. Distributions in statistics: discrete distributions. Wiley, New York, New York, USA.
15. Law, R., and A. R. Watkinson. 1987. Response-surface analysis of two-species competition: an experiment on Phleum areanarium and Vulpia fasciculata. Journal of Ecology 75: 871-886.
16. Lloyd, M. 1967. 'Mean crowding'. Journal of Animal Ecology 36:1-30.
17. Lybecker, D. W., E. E. Schweizer, and R. P. King. 1991. Weed management decisions in corn based on bioeconomic modeling. Weed Science 39:124-129.
18. Marshall, E. J. P. 1988. Field-scale estimates of grass weed populations in arable land. Weed Research 28:191-198.
19. Mercer, K. L., J. A. Pawlak, D. S. Murray, L. M. Verhalen, M. S. Riffle, and R. W. McNew. 1990. Distance-of-influence of devil's-claw (Proboscidea louisianica) on cotton (Gossypium hirsutum). Weed Technology 4:87-91.
20. Mumford, J. D., and G. A. Norton. 1984. Economics of decision making in pest management. Annual Review of Entomology 29:157-174.
21. Pacala, S. W. 1989. Plant population dynamic theory. Pages 54-67 in J. Roughgarden, R. M. May, and S. A. Levin, editors. Perspectives in ecological theory. Princeton University Press, Princeton, New Jersey, USA.
22. Pacala, S. W., and J. A. Silander, Jr. 1985. Neighborhood models of plant population dynamics. I. Single-species models of annuals. American Naturalist 125:385-411.
23. Pacala, S. W., and D. Tilman. 1994. Limiting similarity in mechanistic and spatial models of plant competition in heterogeneous environments. American Naturalist 143:222-257.
24. Pike, D. R., E. W. Stoller, and L. M. Wax. 1990. Modeling soybean growth and canopy apportionment in weed-soybean (Glycine max) competition. Weed Science 38:522-527.
25. Stauber, L. G., R. J. Smith, Jr., and R. E. Talbert. 1991. Density and spatial interference of barnyardgrass (Echinochloa crus-galli) with rice (Oryza sativa). Weed Science 39:163-168.
26. Taylor, L. R., I. P. Woiwod, and J. N. Perry. 1979. The negative binomial as a dynamic ecological model for aggregation, and the density dependence of k. Journal of Animal Ecology 48:289-304.
27. Thornton, P. K., R. H. Fawcett, J. B. Dent, and T. J. Perkins. 1990. Spatial weed distribution and economic thresholds for weed control. Crop Protection 9:337-342.
28. VanGessel, M. J., E. E. Schweizer, K. A. Garrett, and P. Westra. 1995. Influence of weed density and distribution on corn (Zea mays) yield. Weed Science 43:215-218.
29. Wiles, L. J., G. W. Oliver, A. C. York, H. J. Gold, and G. G. Wilkerson. 1992a. Spatial distribution of broadleaf weeds in North Carolina soybean (Glycine max) fields. Weed Science 40:554-557.
30. Wiles, L. J., G. G. Wilkerson, H. J. Gold, and H. D. Coble. 1992b. Modelling weed distributions for improved post-emergence control decisions. Weed Science 440:546-553.
31. Wilkerson, G. G., S. A. Modena, and H. D. Coble. 1991. HERB: decision model for postemergence weed control in soybean. Agronomy Journal 83:413-417.
32. Wilson, B. J., and P. Brain. 1991. Long-term stability of distribution of Alopecurus myosuroides Huds. within cereal fields. Weed Research 31:367-373.
33. Zadoks, J. C. 1985. On the conceptual basis of crop loss assessment: the threshold theory. Annual Review of Phytopathology 23:455-473.
34. Zimdahl, R. L. 1980. Weed-crop competition: a review. International Plant Protection Center, Corvallis, Oregon, USA.