GreeneCanhamCoatesEtAl2004a

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Greene, D.F., Canham, C.D., Coates, K.D. and Lepage, P.T. (2004) An evaluation of alternative dispersal functions for trees. Journal of Ecology, 92(5):758-766.

Résumé

1. We compared three commonly used empirical seed/seedling dispersal functions for trees (lognormal, 2Dt, and two-parameter Weibull) by analysis of published studies where the location of the source is known, as well as by inverse modelling within an old growth hardwood forest in southern Quebec. Almost all the species were wind-dispersed. 2. For the discrete source studies, the lognormal was clearly superior, while for the inverse modelling the performance of the three dispersal functions was somewhat more even. We speculate that collisions with boles spuriously enhanced the likelihood of the 2Dt and the Weibull with inverse modelling, as both these functions assume that the greatest seed/seedling density will occur at the base of the maternal parent bole. 3. We conclude that the lognormal function is to be preferred because, as well as providing a framework for mechanistic interpretation, it tends to provide a closer approximation to observed dispersal curves. 4. We also argue that mean distances travelled by seed crops are far more extensive than indicated by previous studies that used the Weibull function.

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@ARTICLE { GreeneCanhamCoatesEtAl2004a,
    AUTHOR = { Greene, D.F. and Canham, C.D. and Coates, K.D. and Lepage, P.T. },
    TITLE = { An evaluation of alternative dispersal functions for trees },
    JOURNAL = { Journal of Ecology },
    YEAR = { 2004 },
    VOLUME = { 92 },
    PAGES = { 758-766 },
    NUMBER = { 5 },
    NOTE = { 00220477 (ISSN) Cited By (since 1996): 14 Export Date: 27 April 2007 Source: Scopus CODEN: JECOA doi: 10.1111/j.0022-0477.2004.00921.x Language of Original Document: English Correspondence Address: Greene, D.F.; Department of Geography; Concordia University; 1455 de Maisonnueve Boulevard Montreal, Que. H3G 1M8, Canada; email: greene@alcor.concordia.ca References: Augspurger, C.K., Seedling escape from fungal pathogens (1983) Journal of Ecology, 71, pp. 759-772; Augspurger, C.K., Hogan, K.P., Wind dispersal of fruits with variable seed number in a tropical tree (Lonchocarpus pentaphyllus, Leguminosae) (1983) American Journal of Botany, 70, pp. 1031-1037; Bullock, J.M., Clarke, R.T., Long distance seed dispersal by wind: Measuring and modelling the tail of the curve (2000) Oecologia, 124, pp. 506-521; Bullock, J.M., Moy, I.L., Plants as seed traps: Interspecific interference with dispersal (2004) Acta Oecologia, 25, pp. 35-41; Calogeropoulos, C., Greene, D.F., Messier, C., Brais, S., Refining tree recruitment models (2003) Canadian Journal of Forest Research, 33, pp. 41-46; Canham, C.D., Coates, K.D., Bartemucci, P., Quaglia, S., Measurement and modeling of spatially-explicit variation in light transmission through interior cedar-hemlock forests of British Columbia (1999) Canadian Journal of Forest Research, 29, pp. 1775-1783; Canham, C.D., Finzi, A.C., Pacala, S.W., Burbank, D.H., Causes and consequences of resource heterogeneity in forests: Interspecific variation in light transmission by canopy trees (1994) Canadian Journal of Forest Research, 24, pp. 337-349; Clark, J.S., Silman, M., Kern, R., Macklin, E., HilleRis-Lambers, J.H., Seed dispersal near and far: Patterns across temperate and tropical forests (1999) Ecology, 80, pp. 1475-1494; Crossley, D.I., (1955) The Production and Dispersal of Lodgepole Pine Seed, , Technical Note Number 25. 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Hails., Blackwell Press, Oxford; Greene, D.F., Johnson, E.A., A micrometeorological model of the dispersal of winged or plumed seeds from a point source (1989) Ecology, 70, pp. 339-347; Greene, D.F., Johnson, E.A., Can the variation in samara mass and terminal velocity on an individual plant affect the distribution of dispersal distances? (1992) American Naturalist, 139, pp. 825-838; Greene, D.F., Johnson, E.A., Wind dispersal of seeds from a forest into a clearing (1996) Ecology, 77, pp. 595-609; Greene, D.F., Zasada, J.C., Sirois, L., Kneeshaw, D., Morin, H., Charron, I., A review of the regeneration dynamics of boreal forest tree species (1999) Canadian Journal of Forest Research, 29, pp. 824-839; Harms, K., Wright, S.J., Calderon, O., Hernandez, A., Herre, E.A., Pervasive density-dependent recruitment enhances seedling diversity in a tropical forest (2000) Nature, 404, pp. 493-495; Hooper, M.C., Arii, K., Lechowicz, M.J., Impact of a major ice storm on an old-growth hardwood forest (2001) Canadian Journal of Botany, 79, pp. 70-75; Jung, C., Croft, B.A., Aerial dispersal of phytoseiid mites (Acari: Phytoseiidae): Estimating falling speed and dispersal distances for adult females (2001) Oikos, 94, pp. 182-190; Kitajima, K., Augspurger, C.K., Seed and seedling ecology of a monocarpic tropical tree, Tachigalia versicolor (1989) Ecology, 70, pp. 1102-1114; LePage, P.T., Canham, C.D., Coates, K.D., Bartemucci, P., Seed abundance versus substrate limitation of seedling recruitment in northern temperate forests of British Columbia (2000) Canadian Journal of Forest Research, 30, pp. 415-427; Melanson, S., Lechowicz, M.J., Differences in the damage caused by glaze ice on codominant Acer saccharum and Fagus grandifolia (1987) Canadian Journal of Botany, 65, pp. 1157-1159; Murray, K.G., Avian seed dispersal of three neotropical gap-dependent plants (1988) Ecological Monographs, 58, pp. 271-298; Nathan, R., Horn, H.S., Chave, J., Levin, S.A., Mechanistic models for tree seed dispersal by wind in dense forest and open landscapes (2002) Seed Dispersal and Frugivory: Ecology, Evolution, and Conservation, pp. 69-82. , eds D.J. Levey, W.R. Silva \& M. Galetti., CAB International Press, Wallingford; Nathan, R., Katul, G., Horn, H.S., Levin, S.A., Mechanisms of long-distance dispersal of seeds by wind (2002) Nature, 418, pp. 409-413; Nathan, R., Muller-Landau, H., Spatial patterns of seed dispersal, their determinants and consequences for recruitment (2000) Trends in Evolution and Ecology, 15, pp. 278-285; Nathan, R., Safriel, U.N., Noy-Meir, I., Field validation and sensitivity analysis of a mechanistic model for tree seed dispersal by wind (2001) Ecology, 82, pp. 374-388; Okubo, A., Levin, S.A., A theoretical framework for data analysis of wind dispersal of seeds and pollen (1989) Ecology, 70, pp. 329-338; Proulx, O., Greene, D.F., The effect of the magnitude of ice accretion and tree size on tree damage during ice storms (2001) Canadian Journal of Forest Research, 31, pp. 1758-1767; Ribbens, E.J., Silander, J.A., Pacala, S.W., Seedling recruitment in forests: Calibrating models to predict patterns of tree seedling dispersion (1994) Ecology, 75, pp. 1794-1806; Ronco, F., (1970) Engelmann Spruce Seed Dispersal and Seedling Establishment in Clearcut Forest Openings in Colorado - A Progress Report, , Research Note Number RM-168. Rocky Mountain Forest and Range Experiment Station, Fort Collins, Colorado; Rudis, V.A., Ek, A.R., Balsiger, J.W., Within-stand seedling dispersal for isolated Pinus strobus within hardwood stands (1978) Canadian Journal of Forest Research, 8, pp. 10-13; Schupp, E.W., Milleron, T., Russo, S.E., Dissemination limitation and the origin and maintenance of species-rich tropical forests (2002) Seed Dispersal and Frugivory: Ecology, Evolution, and Conservation, pp. 69-82. , eds D.J. Levey, W.R. Silva \& M. Galetti., CAB International Press, Wallingford; Squillace, A.E., (1954) Engelmann Spruce Seed Dispersal into a Clear-Cut Area, , Research Note Number INT-11. Intermountain Forest and Range Experiment Station, Ogden, Utah; Stoyan, D., Wagner, S., Estimating the fruit dispersion of anemochorous trees (2001) Ecological Modelling, 145, pp. 35-47; Tackenberg, O., Modelling long distance dispersal of plant diaspores by wind (2003) Ecological Monographs, 73, pp. 173-189; Tanaka, H., Shibata, M., Nakashizuka, T., A mechanistic approach for evaluating the role of wind dispersal in tree population dynamics (1998) Journal of Sustainable Forestry, 6, pp. 155-174; Wood, O.M., An example of white pine reproduction on burned lands in northeastern Pennsylvania (1932) Journal of Forestry, 30, pp. 838-845. },
    ABSTRACT = { 1. We compared three commonly used empirical seed/seedling dispersal functions for trees (lognormal, 2Dt, and two-parameter Weibull) by analysis of published studies where the location of the source is known, as well as by inverse modelling within an old growth hardwood forest in southern Quebec. Almost all the species were wind-dispersed. 2. For the discrete source studies, the lognormal was clearly superior, while for the inverse modelling the performance of the three dispersal functions was somewhat more even. We speculate that collisions with boles spuriously enhanced the likelihood of the 2Dt and the Weibull with inverse modelling, as both these functions assume that the greatest seed/seedling density will occur at the base of the maternal parent bole. 3. We conclude that the lognormal function is to be preferred because, as well as providing a framework for mechanistic interpretation, it tends to provide a closer approximation to observed dispersal curves. 4. We also argue that mean distances travelled by seed crops are far more extensive than indicated by previous studies that used the Weibull function. },
    KEYWORDS = { Anemochory Inverse modelling Recruitment Seed dispersal Tree regeneration anemochory empirical analysis seed dispersal tree Canada North America Quebec },
    OWNER = { brugerolles },
    TIMESTAMP = { 2007.12.05 },
}

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