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Weed Abundance, Distribution, Diversity, and Community Analyses

Published online by Cambridge University Press:  20 January 2017

Roger Nkoa,
Micheal D. K. Owen and
Clarence J. Swanton
Roger Nkoa
Affiliation:
Department of Plant Agriculture, University of Guelph, 50 Stone Road East, Guelph, Ontario N1G 2W1, Canada
Micheal D. K. Owen
Affiliation:
Department of Agronomy, Iowa State University, Ames, IA 50011
Clarence J. Swanton*
Affiliation:
Department of Plant Agriculture, University of Guelph, 50 Stone Road East, Guelph, Ontario N1G 2W1, Canada
*
Corresponding author's Email: cswanton@uoguelph.ca
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Understanding abundance and distribution of weed species within the landscape of an agroecosystem is an important goal for weed science. Abundance is a measure of the number or frequency of individuals in an area. Distribution is a measure of the geographical range of a weed species. The study of weed population's abundance and distribution is helpful in determining how a population changes over time in response to selective pressures applied by our agronomic practices. Accurate estimates, however, of these two key variables are very important if we are to manage agricultural land both for productivity and for biodiversity.

Information

Type
Weed Biology and Ecology
Information
Weed Science , Volume 63 , Issue SP1: Special Issue: Research Methods in Weed Science , February 2015, pp. 64 - 90
Copyright
Copyright © Weed Science Society of America

References

Literature Cited

Allen, DW (2009) GIS Tutorial II. Redlands, CAESRI Press. 408 pGoogle Scholar
Blalock, HM Jr. (1979) Social Statistics. New YorkMcGraw-Hill. 625 pGoogle Scholar
Booth, BD, Murphy, SD, Swanton, CJ (2010) Invasive Plant Ecology in Natural and Agricultural Systems. 2nd edn. Cambridge, MACAB International. 299 pGoogle Scholar
Conroy, MJ, Noon, BR (1996) Mapping of species richness for conservation of biological diversity: conceptual and methodological issues. Ecol Appl 6:763–773Google Scholar
Cousins, SH (1991) Species diversity measurement: choosing the right index. Trends Ecol Evol 6:190–19210.1016/0169-5347(91)90212-GGoogle Scholar
Digby, PGN, Kempton, RA (1987) Appendix: Matrix algebra. Pages 193–203in Multivariate Analysis of Ecological Communities. New YorkChapman and HallGoogle Scholar
Everitt, BS (1989) Statistical Methods in Medical Investigation. LondonEdward Arnold. 195 pGoogle Scholar
Flanagan, C, Jennings, C, Flanagan, N (1994) Automated GIS Capture. Pages 25–38in Worboys, MF, ed. Innovations in GIS 1. London, UKTaylor and FrancisGoogle Scholar
Forcella, F, Harvey, SJ (1988) Patterns of weed migration in northwestern U.S.A. Weed Sci 36:194–201Google Scholar
Gaston, KJ (1991) How large is a species' geographic distribution? Oikos 61:434–437Google Scholar
Gaston, KJ, Fuller, RA (2009) The sizes of species' geographic ranges. J Appl Ecol 46:1–9Google Scholar
Gauch, HG Jr. (1982) Multivariate Analysis in Community Ecology. Cambridge, UKCambridge University Press. 295 p10.1017/CBO9780511623332Google Scholar
Goff, FG, Dawson, GA, Rochow, JJ (1982) Site examination for threatened and endangered plant species. Environ Manag 6(4):307–316Google Scholar
Gomez, KA, Gomez, AA (1984) Sampling in experimental plots. Chapter 15. Pages 532–561in Statistical Procedures for Agricultural Research. 2nd edn. New YorkJohn Wiley and SonsGoogle Scholar
Gorr, WL, Kurland, KS (2008) GIS Tutorial. 3rd edn. Redlands, CAESRI Press. 434 pGoogle Scholar
Harville, DA (1997) Matrix Algebra from a Statistician's Perspective. New YorkSpringer-Verlag. 634 pGoogle Scholar
Huebner, CD (2007) Detection and monitoring of invasive exotic plants: a comparison of four sampling methods. Northeast Nat 14(2):183–206Google Scholar
Jolliffe, IT (2002) Principal Component Analysis. New YorkSpringer-Verlag. 489 pGoogle Scholar
Kercher, SM, Frieswyk, CB, Zedler, JB (2003) Effects of sampling teams and estimation methods on the assessment of plant cover. J Veg Sci 14:899–906Google Scholar
Khattree, R, Naik, D (2000) Concepts from matrix algebra. Pages 7–20in Multivariate Data Reduction and Discrimination. Cary, NCSAS Institute, IncGoogle Scholar
Klecka, RW (1980) Discriminant Analysis. Beverly Hills, CASage Publications. 71 pGoogle Scholar
Lo, CP, Yeung, AKW (2007) Concepts and Techniques of Geographic Information Systems. 2nd edn. Cranbury, NJPearson Education. 532 pGoogle Scholar
Magnussen, S, Boyle, TJB (1995) Estimating sampling size for inference about the Shannon–Weiner and the Simpson indices of species diversity. For Ecol Manag 78:71–84Google Scholar
Magurran, AE (1988) Ecological Diversity and its Measurements. London, UKCroom Helm. 179 pGoogle Scholar
Mayo, T (1994) Computer-assisted tools for cartographic data capture. Pages 39–52in Worboys, MF, ed. Innovations in GIS 1. London, UKTaylor and FrancisGoogle Scholar
McClave, TJ, Dietrich, FH II (1988) Estimation and test of hypothesis: single sample. Pages 317–402in Statistics. 4th edn. San Francisco, CADellen PublishingGoogle Scholar
McCune, B, Grace, JB (2002) Analysis of Ecological Communities. Gleneden Beach, ORMjM Software Design. 304 pGoogle Scholar
Mitchell, A (1999) The ESRI Guide to GIS Analysis. Volume 1: Geographic Patterns and Relationships. Redlands, CAESRI Press. 186 pGoogle Scholar
Mitchell, A (2009) The ESRI Guide to GIS Analysis. Volume 2: Spatial Measurements and Statistics. Redlands, CAESRI Press. 238 pGoogle Scholar
Mountford, MD (1962) An index of similarity and its application to classificatory problems. Pages 43–50in Murphy, PW, ed. Progress in Soil Zoology. London, UKButterworthsGoogle Scholar
Pearman, PB, Randin, CF, Broennimann, O, Vittoz, P, van der Knaap, WO, Engler, R, Le Lay, G, Zimmermann, NE, Guisan, A (2008) Prediction of plant species distribution across six millennia. Ecol Lett 11:357–369Google Scholar
Penskar, MR (1991) Survey of the Ottawa National Forest for Endangered, Threatened, and Special Concern Species in Land Type Association 7 and Associated Ecological Land Type Phases. Lansing, MIMichigan Natural Features Inventory. 21 p plus appendicesGoogle Scholar
Rao, CR, Rao, MB (1998) Matrix Algebra and Its Applications to Statistics and Economics. SingaporeWorld Scientific. 535 pGoogle Scholar
Schlesinger, RC, Funk, DT, Roth, PL, Myers, CC (1994) Assessing changes in biological diversity over time. Nat Areas J 14:235–240Google Scholar
Schott, JR (2005) Matrix Analysis for Statistics. New YorkJohn Wiley and Sons. 480 pGoogle Scholar
Snedecor, GW, Cochran, WG (1967) Statistical Methods. 6th edn. Ames, IAIowa State University Press. 593 pGoogle Scholar
Sørensen, T (1948) A method of establishing groups of equal amplitude in plant sociology based on similarity of species content and its application to analysis of the vegetation on Danish commons. K Dan Vidensk Selsk Biol Skr 5:1–34Google Scholar
Stiling, P D (1999) Ecology: Theories and Applications. 3rd edn. Upper Saddle River, NJPrentice Hall. 638 pGoogle Scholar
Thomson, DQ, Stuckey, RL, Thompson, EB (1987) Spread, Impact, and Control of Purple Loosestrife (Lythrum salicaria) in North American Wetlands. Fish and Wild Life Research Report No. 2. Washington, DCU.S. Department of Interior, Fish and Wildlife Service. 55 pGoogle Scholar
Wilson, JB, Steel, JB, King, WM, Gitay, H (1999) The effect of spatial scale on evenness. J Veg Sci 10:463–468Google Scholar
Wolda, H (1981) Similarity indices, sample size and diversity. Oecologia 50:296–302Google Scholar
Yorks, TE, Dabydeen, S (1998) Modification of the Whittaker sampling technique to assess plant diversity in forested areas. Nat Areas J 18:185–189Google Scholar