Biomass Collapse in Amazonian Forest Fragments

Science 278, 1117 (1997)

William F. Laurance, * Susan G. Laurance, Leandro V. Ferreira, Judy M. Rankin-de Merona, dagger Claude Gascon, Thomas E. Lovejoy ddagger

Rain forest fragments in central Amazonia were found to experience a dramatic loss of above-ground tree biomass that is not offset by recruitment of new trees. These losses were largest within 100 meters of fragment edges, where tree mortality is sharply increased by microclimatic changes and elevated wind turbulence. Permanent study plots within 100 meters of edges lost up to 36 percent of their biomass in the first 10 to 17 years after fragmentation. Lianas (climbing woody vines) increased near edges but usually compensated for only a small fraction of the biomass lost as a result of increased tree mortality.

Biological Dynamics of Forest Fragments Project, National Institute for Research in the Amazon (INPA), Caixa Postal 478, Manaus, AM 69011-970, Brazil.
*   To whom correspondence should be addressed. E-mail: wfl@inpa.gov.br

dagger    Present address: Station de Recherches Forestieres, Institut National de la Recherche Agronomique-Groupe Regional de Guyane, Boite Postale 709, 97387 Kourou Cedex, France.

ddagger    Present address: Counselor to the Secretary for Biodiversity and Conservation, Smithsonian Institution, Washington, DC 20560, USA.


Habitat fragmentation affects the ecology of tropical rain forests in many ways, such as altering the diversity and composition of fragment biotas, and changing ecological processes like nutrient cycling and pollination (1, 2). Recent evidence indicates that fragmentation also alters rain forest dynamics, causing sharp increases in the rates of tree mortality, damage, and canopy-gap formation, apparently as a result of microclimatic changes and increased wind turbulence near forest edges (3). Here we demonstrate that in central Amazonian rain forests, fragmentation is having an equally measurable effect on above-ground biomass. Given that more than 15 × 106 ha of tropical forest are being cleared and fragmented annually (4), a decline of biomass in forest remnants could be a significant source of greenhouse gases such as CO2, released upon decay.

The study area, an experimentally fragmented landscape spanning about 20 km by 50 km, is located 80 km north of Manaus, Brazil (2°30'S, 60°W), at an elevation of 100 to 150 m. Between 1980 and 1986 a series of replicate forest patches of 1, 10, and 100 ha in area were isolated by clearing and often burning the surrounding vegetation to create cattle pastures. A total of 39 permanent, square, 1-ha study plots were established in four 1-ha fragments, three 10-ha fragments, and two 100-ha fragments, and 27 identical control plots were located in nearby continuous rain forest. The plots in the fragments were stratified so that edge and interior areas were both sampled. More than 1000 tree species have been identified in the study plots (5).

The plots were initially censused between January 1980 and January 1987, then subsequently censused two to five times, with the last census in early 1997 (mean of 3.6 censuses per plot). Estimates of above-ground dry biomass (AGBM) for each plot were derived by carefully measuring the diameters of all trees >=10 cm diameter-at-breast-height (DBH), except for buttress trees, which were measured just above the buttresses. DBH values were cross-checked for outliers (for example, declines of >5 mm or increases of >15 mm per year) by comparing multiple measurements over time of the same tree. DBH measurements were converted to biomass estimates with an allometric model derived by using 319 trees from local rain forests (6). Total AGBM estimates for each plot were adjusted upward by 12% to account for trees of <10 cm DBH (7). Lianas (climbing woody vines) of >=2 cm DBH were recorded in 21 of the plots in 1997 and converted to biomass estimates with a DBH-AGBM formula developed for Venezuelan rain forests (8).

We used linear regressions to estimate the rate of change in biomass on each plot (using AGBM as the dependent variable and the number of months since January 1980 as the independent variable). Slope terms for each plot were converted to metric tons of AGBM per hectare per year. The rate of biomass loss was significantly related to the distance of plots from the nearest forest edge (Fig. 1). On average, plots within 100 m of edges lost 3.5 ± 4.1 tons ha-1 year-1 during the first 10 to 17 years after fragmentation, with some plots losing up to 36% of their total AGBM (mean ± SD = 8.8 ± 10.2%, n = 30). Forest-interior plots (>=100 m from the edge) exhibited no significant changes in AGBM over the time period studied, with 15 plots declining and 21 increasing (P = 0.203, sign test).


Fig. 1. Rate of change in above-ground tree biomass as a function of distance of the plots from the forest edge. The solid line is an exponential curve fitted to the data, and the dashed lines are 95% confidence intervals for 26 forest-interior plots (>500 m from edge). The curve formula is biomass change = 9.58 - {22.47 × exp[-0.28 × log (distance to edge)]}. A linear regression comparing observed and fitted values was highly significant [F(1,64) = 21.47, R2 (coefficient of determination) = 25.1%, P = 0.00002]


To examine the actual kinetics of biomass loss, we plotted the mean percent decline of AGBM in 16 edge plots that had lost >=3 tons ha-1 year-1 since fragmentation (Fig. 2). Mean AGBM dropped sharply within 4 years of fragmentation, then roughly stabilized thereafter. At least within 10 to 17 years of fragmentation, recruitment of new trees (>=10 cm DBH) has not offset losses caused by tree mortality.


Fig. 2. Mean decline (± SE) in AGBM in 16 study plots before and after forest fragmentation (sample sizes: before fragmentation = 14; 0 to 2 years = 6; 2 to 4 years = 11; 4 to 6 years = 15; 6 to 8 years = 9; >8 years = 11).


Lianas, the only other abundant woody plants in the study area, have increased in plots within 100 m of edges, from 5.4 ± 0.7 to 7.9 ± 1.7 tons ha-1 (9). However, on most edge plots these increases constitute only a small fraction (<8%) of the biomass lost from elevated tree mortality.

Our long-term study, involving more than 137,000 DBH measurements of >56,000 trees, has revealed that the dynamics and biomass of fragmented rain forest are being fundamentally altered. Although growth of lianas and new trees (10) has increased in fragments, these have not offset the sudden loss of AGBM caused by the deaths of many large trees, which contain a disproportionately large fraction of AGBM. It is not yet known whether AGBM in fragments will eventually recover to the levels present before fragmentation or whether fragments will reach a new equilibrium that is lower than that of the original forest. We suspect the latter is more likely because fragmented forests are prone to recurring wind disturbance (3, 11), which can kill and damage many large trees. If this is the case, complex, old-growth rain forests will tend to be replaced by shorter, scrubby forests with smaller volume and biomass. The biomass losses described here are actually underestimates because rates of major tree damage (broken crowns or snapped trunks) are nearly as high within 100 m of edges (2.82% per year) as is tree mortality (3.04% per year) (3). Hence, for every tree that dies, another is badly damaged, and a portion of that tree's biomass is lost.

The loss of biomass is a previously unrecognized and unanticipated consequence of habitat fragmentation. Because AGBM declines near forest edges, the magnitude of biomass loss will depend on the spatial pattern of deforestation, which determines the sizes and shapes of forest fragments. Mathematical models suggest edge-related tree mortality and damage will increase sharply once Amazonian fragments fall below 100 to 400 ha in area, depending on fragment shape (3). Fragments in anthropogenic landscapes commonly fall within or below this size range (2), suggesting that the loss of biomass in recently fragmented landscapes could be a significant source of greenhouse gas emissions. Given the rapid rate of forest fragmentation in the tropics (4), such emissions may exacerbate effects of global warming above and beyond that caused by forest clearing per se.

REFERENCES AND NOTES

  1. T. E. Lovejoy et al., in Conservation Biology: The Science of Scarcity and Diversity, M. Soule, Ed. (Sinauer, Sunderland, MA, 1986), pp. 257-285.
  2. W. F. Laurance and R. O. Bierregaard, Eds., Tropical Forest Remnants: Ecology, Management, and Conservation of Fragmented Communities (Univ. of Chicago Press, Chicago, IL, 1997).
  3. L. V. Ferreira and W. F. Laurance, Conserv. Biol. 11, 797 (1997); W. F. Laurance, L. V. Ferreira, J. M. Rankin-de Merona, S. G. Laurance, Ecology, in press.
  4. T. C. Whitmore, in (2), pp. 3-12.
  5. J. M. Rankin-de Merona et al., Acta Amazonica 22, 493 (1992); S. G. Laurance, records of the Biological Dynamics of Forest Fragments Project (BDFFP) Herbarium, Manaus, Brazil.
  6. J. dos Santos, thesis, Univ. Federal de Vicosa, Brazil (1996). The allometric equation is AGBM = (exp{3.323 + [2.546 × ln (DBH/100)]}) × 600. The 319 trees used to derive the equation ranged from 5 to 120 cm DBH and were destructively sampled to determine AGBM. The trees were randomly selected at a site about 20 km southwest of our study area, in very similar lowland terra firma forest.
  7. C. Jordan and C. Uhl, Oecol. Plant. 13, 387 (1978). In our study area, the estimated AGBM of trees in 36 forest-interior plots was 381.5 ± 38.5 tons ha-1 (mean ± SD). In parts of the Amazon, the carbon content of soil below a depth of 1 m may rival or exceed that of AGBM [ D. C. Nepstad, et al., Nature 372, 666 (1994) ].
  8. F. E. Putz, Biotropica 15, 185 (1983).
  9. Lianas were sampled within 60 to 100 m of edges in 11 plots and ranging from 160 to 1200 m from edges in 10 plots.
  10. W. F. Laurance et al., Conserv. Biol., in press.
  11. W. F. Laurance, Biol. Conserv. 57, 205 (1991).
  12. We thank W. E. Magnusson, G. B. Williamson, P. M. Fearnside, S. L. Lewis, J. Q. Chambers, and two anonymous referees for comments on the manuscript. This study was supported by World Wildlife Fund-U.S., National Institute for Research in the Amazon, Smithsonian Institution, MacArthur Foundation, and Andrew W. Mellon Foundation. This is publication number 182 in the BDFFP technical series.

10 June 1997; accepted 11 September 1997

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