Estimating aboveground biomass of broadleaved woody plants in the understory of Florida Keys pine forests
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Alaback, 1986, Biomass regression equations for understory plants in coastal Alaska: effects of species and sampling design on estimates, Northwest Sci., 60, 90
Alexander, 1970, Vegetational changes in the National Key Deer Refuge, Quart. J. Florida Acad. Sci., 33, 81
Alexander, 1972, Vegetational changes in the National Key Deer Refuge-II, Quart. J. Florida Acad. Sci., 35, 85
Alaback, P.B., 1987. Biomass-dimension relationships of understory vegetation in relation to site and stand age. In: Wharton, E.H., Cunia, T. (Eds.), Tree Biomass Regression Functions and their Contribution to the Error of Forestry Inventory Estimates. USDA Forest Service, General Technical Report NE-GTR-117. pp. 141–148.
Baskerville, 1972, Use of logarithmic regression in the estimation of plant biomass, Can. J. For. Res., 2, 49, 10.1139/x72-009
Bergh, 1996
Brand, 1985, Evaluating allometric shrub biomass equations fit to generated data, Can. J. Bot., 63, 63, 10.1139/b85-010
Brown, 1976, Estimating shrub biomass from basal stem diameters, Can. J. For. Res., 6, 154, 10.1139/x76-019
Buech, 1989, Biomass relations of shrub components and their generality, For. Ecol. Manage., 26, 257, 10.1016/0378-1127(89)90086-8
Carlson, 1993, Fire in key deer habitat improves browse, prevents succession, and preserves endemic herbs, J. Wildlife Manage., 57, 914, 10.2307/3809097
Cochrane, 1999, Positive feedbacks in the fire dynamic of closed canopy tropical forests, Science (Washington), 284, 1832, 10.1126/science.284.5421.1832
Crow, 1978, Common regressions to estimate tree biomass in tropical stands, For. Sci., 10, 180
Crow, 1988, A guide to using regression equations for estimating tree biomass, North. J. Appl. For., 5, 15, 10.1093/njaf/5.1.15
Draper, 1998
Dudley, 1992, Preliminary biomass equations for eight species of fast-growing tropical trees, J. Trop. For. Sci., 5, 68
Freedman, 1984, The relationship between the aboveground dry weight and diameter for a wide size range of erect land plants, Can. J. Bot., 62, 2370, 10.1139/b84-323
Haase, 1995, Above-ground biomass estimates for invasive trees and shrubs in the Pantanal of Mato Grosso, Brazil For. Ecol. Manage., 73, 29, 10.1016/0378-1127(94)03509-U
Halpern, 1996, Equations for predicting aboveground biomass of plant species in early successional forests of the western Cascade Range, Oregon, Northwest Sci., 70, 306
Harrington, 1979, Estimation of above-ground biomass of trees and shrubs in a Eucalyptus populaca F. Muell woodland by regression of mass on trunk diameter and plant height, Aust. J. Bot., 27, 135, 10.1071/BT9790135
Kauffman, 1994, Relationships of fire, biomass and nutrient dynamics along a vegetation gradient in the Brazilian cerrado, J. Ecol., 82, 519, 10.2307/2261261
Ludwig, 1975, Size-biomass relationships of several Chihuahuan desert shrubs, Am. Midl. Nat., 94, 451, 10.2307/2424437
Martin, 1981
McCaw, 2002, Stand characteristics and fuel accumulation in a sequence of even-aged Karri (Eucalyptus diversicolor) stands in southwest Western Australia, For. Ecol. Manage., 158, 263, 10.1016/S0378-1127(00)00719-2
Murray, 1982, An evaluation of dimension analysis for predicting shrub biomass, J. Range Manage., 35, 451, 10.2307/3898603
Nelson, 1999, Allometric regressions for improved estimate of secondary forest biomass in the central Amazon, For. Ecol. Manage, 117, 149, 10.1016/S0378-1127(98)00475-7
Neter, 1983
Ohmann, L.F., Grigal, D.F., Rogers, L.L., 1981. Estimating plant biomass for undergrowth species of northeastern Minnesota forest communities. General Technical Report NC-61. USDA Forest Service, North Central Forest Experimental Station, St. Paul, MN, USA, 10 pp.
Overman, 1994, Evaluation of regression models for above-ground biomass determination in Amazon rainforest, J. Trop. Ecol., 10, 207, 10.1017/S0266467400007859
Pastor, 1984, Biomass prediction using generalized allometric regressions for some Northeast tree species, For. Ecol. Manage., 7, 265, 10.1016/0378-1127(84)90003-3
Paatalo, 1998, Factors influencing occurrence and impacts of fires in northern European forests, Silva Fenn., 32, 185, 10.14214/sf.695
Paton, 1998, Growth and productivity in forage biomass in relation to the age assessed by dendrochronology in the evergreen shrub Cistus ladanifer (L.) using different regression models, J. Arid Environ., 38, 221, 10.1006/jare.1997.0328
Peek, 1970, Relation of canopy area and volume to production of three woody species, Ecology, 51, 1098, 10.2307/1933640
Pereira, 1995, Structural properties and dimensional relations of some Mediterranean shrub fuels, Int. J. Wildland Fire., 5, 35, 10.1071/WF9950035
Rocca, 1997
Ross, 2003, Soil-productivity relationships and organic matter turnover in dry tropical forests of the Florida Keys, Plant Soil., 253, 479, 10.1023/A:1024843130866
Rothermel, R.C., 1972. A mathematical model for predicting fire spread in wildland fuels. USDA Forest Service Research Paper INT-115: Intermountain Forest and Range Experiment Station, 40 pp.
Saldarriaga, 1988, Long-term chronosequence of forest succession in the upper Rio Negro of Colombia and Venezuela, J. Ecol., 76, 938, 10.2307/2260625
Schlaegel, B., 1981. Testing, reporting, and using biomass estimation models. In: Proceedings of 1981 Southern Forest Biomass Workshop. The Belle W. Baruch Forest Science Institute, Clemson University, SC, USA, pp. 95–112.
Smith, W.B., Brand, G.J., 1983. Allometric biomass equations for 96 species of herb, shrubs and small trees. Research Note NC-299. USDA Forest Service, North Central Forest Experimental Station, St. Paul, MN, USA.
Snyder, J.R., 1991. Fire regimes in subtropical South Florida. In: Proceedings of the Tall Timbers Fire Ecology Conference no. 17, High Intensity Fire in Wildlands: Management Challenges and Options. May 18–21, 1989. Tall Timbers Research Station, Tallahassee, FL, USA, pp. 303–319.
Sprugel, 1983, Correcting for bias in log-transformed allometric equations, Ecology, 64, 209, 10.2307/1937343
Ter-Mikaelian, 1997, Biomass equations for sixty-five North American tree species, For. Ecol. Manage., 97, 1, 10.1016/S0378-1127(97)00019-4
Tietema, 1993, Biomass determination of fuelwood trees and bushes of Botswana, southern Africa, For. Ecol. Manage., 60, 257, 10.1016/0378-1127(93)90083-Y
Tritton, L.M., Hombeck, J.W., 1982. Biomass equations for sixty-five North American tree species of the Northeast. U.S. Forest Survey General Technical Report NE-69, 46 pp.
Uso, 1997, Allometric regression equations to determine aerial biomasses of Mediterranean shrubs, Plant Ecol., 132, 59, 10.1023/A:1009765825024
Van Wilgen, 1982, Some effects of post fire age on the aboveground plant biomass of fynbos macchia vegetation in South Africa, J. Ecol., 70, 217, 10.2307/2259874
Vora, 1988, Predicting biomass of five shrub species in northeastern California, J. Range Manage., 41, 63, 10.2307/3898792
Wade, D., Ewel, J., Hofstetter, R., 1980. Fire in south Florida ecosystems. US Forest Service, General Technical Report # SE-17, 125 pp.
Whittakcr, R.H., Woodwell, G.M., 1968. Dimension and production relations of trees and shrubs in the Brookhaven Forest, New York. J. Ecol. 56,1–25.
Wirth, 1999, Above-ground biomass and structure of pristine Siberian Scots pine forests as controlled by competition and fire, Oecologia, 121, 66, 10.1007/s004420050908