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Forest Landscape Baseline No. 5 Brief Progress and Summary Reports 1994 | ![]() ![]() |
INFLUENCE OF LOGGING, STAND SIZE AND STAND SHAPE
ON THE REGENERATION OF WHITE PINE IN OLD-GROWTH FORESTS
by P. A. Quinby
Introduction
In order to have an economically viable society that depends on goods and services derived from the forest, we must have biologically viable forest ecosystems (Maser 1994). And, according to Ontario's new Comprehensive Forest Policy Framework (Ontario Forest Policy Panel 1993), this can only happen when "the use of renewable resources is sustainable [meaning the use] is within the resource's capacity for regeneration." Recent evidence of severely reduced white pine (Pinus strobus L.) regeneration in fragmented old-growth forests dominated by white pine in Temagami, Ontario (Quinby 1993a) suggests that the influence of adjacent logging activities is impairing the sustainability of old-growth white pine stands. Currently, there are less than 350 known stands of the endangered old-growth white pine forest remaining in the world (Quinby 1993b, Quinby and Giroux 1993), the vast majority of which have been fragmented by logging, agriculture or other forms of human activity. There is a high probability that those fragmented old-growth white pine stands beyond Temagami also do not have a sustainable level of white pine regeneration. The status of and requirements for white pine regeneration must be determined if these old growth forests are to be maintained.
Few studies of natural landscape fragmentation have focussed on the response of tree populations. Most have addressed effects on mammals, birds, insects and species diversity (Burgess and Sharpe 1981, Harris 1984, Hunter 1990, Shafer 1990, Noss and Cooperrider 1994). Those that have considered the influence of fragmentation on tree populations have focussed on insect pollinators (Aizen and Feinsinger 1994a); pollination, fruit set and seed set (Aizen and Feinsinger 1994b); seed production and dispersal (Johnson et al. 1981) and mature tree mortality (Lovejoy et al. 1986). No studies have yet investigated the influence of fragmentation on actual populations of regenerating trees. The purpose of this study is to examine the influence of forest fragmentation on white pine regeneration within old-growth forest stands dominated by white pine.
Methods
During the 1991 and 1992 field seasons, 14 old-growth white pine stands in Temagami, Ontario were sampled for white pine regeneration. Half of the stands are fragmented, although their interior remains unlogged, and the other half are surrounded by a natural, unlogged landscape. All individual white pine seedlings and saplings (1 to 65 yrs.) encountered in 1 x 1 m quadrats spaced at 6 m intervals along transects were aged by counting branch whorles. In each stand, 21 meters of transect were sampled for each ha of forest and transects were distributed according to the relative amount of slope, hill and flat topography present within the stand. In total, over 6,500 quadrats located along 40 km of transect
were assessed for regeneration of white pine in this study. In order to eliminate the influence of seed production on the density of regeneration, white pine regeneration was expressed relative to the density
of seed-producing trees (140 yrs.+; obtained from Quinby 1991) and was called regeneration production. The rank sum test (two-tailed) was used to test for differences between the means of the white pine regeneration production for the natural versus the fragmented stands (Analytical Software 1994). Also, for each stand the size, shape (edge to interior ratio or E:I) and percent of the stand boundary adjacent to the logged area were determined. Multiple linear regression was used to explore relationships between white pine regeneration production and the biogeographical variables (Analytical Software 1994). A log10 transformation for stand size provided a better linear relationship with regeneration production than did the untransformed stand size values.
Results
The means for white pine regeneration production for the natural (371) and fragmented (137) stands were significantly different (p=.02). Regeneration production in the natural stands was almost three times greater than in the fragmented stands (see Table 1 for stand variable values).
TABLE 1 - Biogeographical and Tree Density Values for
the 14 Old-Growth White Pine Stands (7 natural, 7 fragmented) in Temagami,
Ontario (E-I - edge to interior; Pw140+ - white pine over 139 years of
age; Pwreg. - white pine regeneration; Pwreg. Production - no. white pine
<66 yrs./Pw140+ Density)
| Stand No. | Size (ha) | Size log10 | % Boundary
Logged |
E-I
Ratio |
Pw140+
Density (no./ha) |
Pwreg.
Density (no./ha) |
Pwreg.
Production |
| 69 | 21 | 1.32 | 0 | 103 | 18 | 3600 | 200 |
| 47 | 41 | 1.61 | 0 | 79 | 10 | 3860 | 386 |
| 43 | 79 | 1.90 | 0 | 58 | 11 | 2981 | 271 |
| 58 | 90 | 1.95 | 0 | 66 | 8 | 3456 | 432 |
| 71 | 137 | 2.14 | 0 | 31 | 6 | 3348 | 558 |
| 44 | 179 | 2.25 | 0 | 54 | 14 | 3780 | 270 |
| 41 | 900 | 2.95 | 0 | 35 | 6 | 2880 | 480 |
| 56 | 21 | 1.32 | 68 | 142 | 22 | 2266 | 103 |
| 49 | 27 | 1.43 | 43 | 109 | 18 | 2214 | 123 |
| 70 | 29 | 1.46 | 34 | 171 | 22 | 2200 | 100 |
| 48 | 56 | 1.75 | 40 | 95 | 16 | 720 | 45 |
| 45 | 63 | 1.80 | 16 | 97 | 11 | 5192 | 472 |
| 42 | 110 | 2.04 | 45 | 112 | 23 | 1380 | 60 |
| 55 | 136 | 2.13 | 47 | 93 | 11 | 616 | 56 |
When stratified by regeneration production, most of the fragmented stands fall below the 201 to 300 class, whereas most of the natural stands fall above the 201 to 300 class (Figure 1).
The regression analysis showed that only the "% boundary logged" and the "E-I ratio" variables contributed significantly to the resulting regression equation (F<.003; R2=.64):
white pine regeneration production = 468 - (4.13 %boundlog) - (1.43 E-Iratio).
White pine regeneraton production was most highly correlated with the
% boundary logged variable (r=-.7731; p<.01) and was slightly less correlated
with the E-I ratio variable (r=-.7069; p<.01) (Figures 2a and 2b).
FIGURE 1 - Frequency Distribution of Regeneration Production in Fragmented and Natural Old-Growth White Pine Stands in Temagami, Ontario
FIGURE 2 - (a) Scatterplot of the Relationship Between Regeneration
Production and the % Boundary Logged Variable; (b) Scatterplot of the Relationship
Between Regeneration Production and the Edge to Interior Ratio Variable
(Old-Growth Stands in Temagami, Ontario)
| Figure 2a
|
Figure 2b
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Discussion
Regeneration production of white pine was almost three times higher in the natural old-growth white pine stands compared to the fragmented stands and the level of regeneration production is most highly correlated with the amount of adjacent logging. Generally, as the amount of logging contiguous to the stand (fragmentation) increases, regeneration production in the stand decreases. The shape of the stand is also significantly correlated with regeneration production - as the ratio of edge to interior increases, the regeneration production of white pine decreases. Although size has often been identified as the most important reserve viability variable (Noss and Cooperrider 1994), its correlation with regeneration production in this study was insignificant probably because of the extensive connectivity of the fragmented stands to the surrounding forested landscape which provides an external source of seed. On average, 58% of the boundaries of the fragmented stands are contiguous with either ancient or second-growth forest.
Both the logging and E:I variables represent the effects of fragmentation on old-growth white pine stands. Fragmentation tends to (1) create more stand boundary (2) change the physical environment along the modified edge of the stand and (3) reduce the amount of white pine seed germinating in the old-growth stands (Lovejoy et al. 1986, Saunders et al. 1991). It is likely that many white pine seeds are blown out of fragmented stands due to greater wind exposure along the edge which also penetrates into the stand, and for those seeds that do land within the old-growth stand, the germination rate is likely reduced due to higher temperatures and drier conditions at the forest floor.
The regression equation developed in this study can predict regeneration
production using biogeographical variables (the percent of the boundary
adjacent to logging and the edge to interior ratio) that can be easily
measured on aerial photographs. To evaluate the accuracy of the equation's
predictions, field tests should be conducted to compare predicted to actual
white pine regeneration production. Assuming an acceptable level of accuracy,
the fragmented old-growth white pine stands most in need of regeneration
management can be identified by using aerial photographs and the regeneration
production regression equation which is cheaper and faster than using field
methods.
References
Aizen, M. A. and P. Feinsinger. 1994a. Habitat fragmentation, native insect pollinators, and feral honey bees in Argentine "Chaco Serrano". Ecological Applications 4(2):378-392.
Aizen, M. A. and P. Feinsinger. 1994b. Forest fragmentation, pollination, and plant reproduction in a Chaco Dry Forest, Argentina. Ecology 75(2):330-351.
Analytical Software. 1994. Statistix: Version 4.1 User's Manual. Tallahassee, Florida. 329 pp.
Burgess, R. L. and D. M. Sharpe (Eds.). 1981. Forest Island Dynamics in Man-Dominated Landscapes. Springer-Verlag, New York. 310 pp.
Harris, L. D. 1984. The Fragmented Forest: Island Biogeographical Theory and the Preservation of Biotic Diversity. The University of Chicago Press, Chicago. 211 pp.
Hunter, M. L., Jr. 1990. Wildlife, Forests and Forestry: Principles of Managing Forests for Biological Diversity. Prentice Hall, Englewood Cliffs, N. J. 370 pp.
Johnson, W. C., D. M. Sharpe, D. L. DeAngelis, D. E. Fields and R. J. Olson. 1981. Modelling Seed Dispersal and Forest Island Dynamics. In: Forest Island Dynamics in Man-Dominated Landscapes, Ed. by Burgess, R. L. and D. M. Sharpe. Springer Verlag, New York. pp. 215-239.
Lovejoy, T. E., R. O. Bierregaard, Jr., A. B. Rylands, J. R. Malcolm, C. E. Quintela, L. H. Harper, K. S. Brown, Jr., A. H. Powell, G. V. N. Powell, H. O. R. Schubart and M. B. Hays. 1986. Edge and other Effects of Isolation on Amazon Forest Fragments, In: Conservation Biology: The Science of Scarcity and Diversity, Ed. by M. E. Soule. Sinauer Associates, Inc., Sunderland, Mass. pp. 257-285.
Maser, C. 1994. Sustainable Forestry: Philosophy, Science and Economics. St. Lucie Press, Delray Beach, Florida. 373 pp.
Noss, R. F. and A. Y. Cooperrider. 1994. Saving Nature's Legacy: Protecting and Restoring Biodiversity. Island Press, Washington, D.C. 416 pp.
Ontario Forest Policy Panel. 1993. Diversity: Forests, People, Communities - A Comprehensive Forest Policy Framework for Ontario. Queen's Printer for Ontario, Toronto. 147 pp.
Quinby, P. A. 1991. Preliminary Definitions of Old-Growth Red and White Pine Forest in Central Ontario. In: Ancient Forest Survival Guide: An Old-Growth Strategy for Ontario. Earthroots Coalition Research Report, Toronto, Ontario. 33 pp.
Quinby, P. A. 1993a. White pine regeneration in fragmented and natural old-growth pine stands in Temagami, Ontario. Forest Landcsape Baselines No. 1, Ancient Forest Exploration & Research, Powassan, Ontario. 4 pp.
Quinby, P. A. 1993b. Old-growth eastern white pine forest: An endangered ecosystem. Forest Landscape Baselines No. 2, Ancient Forest Exploration & Research, Powassan, Ontario. 4 pp.
Quinby, P. A. and P. A. Giroux. 1993. A Survey of Old-Growth Eastern White Pine Forest in Canada and the United States. Ancient Forest Research Report No. 2, Ancient Forest Exploration & Research, Powassan, Onatrio. 12 pp.
Saunders, D. A., R. J. Hobbs and C. R. Margules. 1991. Biological consequences of ecosystem fragmentation: A review. Conservation Biology 5(1):18-32.
Shafer, C. L. 1990. Nature Reserves: Island Theory and Conservation Practice. Smithsonian Institution, Washington, D.C. 189 pp.
Produced by Ancient Forest Exploration & Research, 93 Westmoreland Ave., Toronto, Ontario M6H 2Z8 (416) 535-0205; A progress report of the "Conservation Strategy for Ancient White and Red Pine Forests in the Temagami Region of Ontario" Project; technical contributions by P. A. Giroux and L. Hudson; funding provided by Earthwatch, Dr. J. Hackney, Dr. A. Stone, the Temagami Wilderness Fund, the Temagami Region Studies Institute, the Laidlaw Foundation, The Royal Canadian Geographical Society, Algonquin Canoe Store, the Madawaska Kanu Centre, the Charles Frederick Fell Charitable Trust, the Boland Foundation, the Helen McCrea Peacock Foundation, Smoothwater Outdoor Centre and the Algonquin Wildlands League
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