Linking smallholder land use and fire activity: examining biomass burning in the Brazilian Lower Amazon
Introduction
Since the mid 1980s, unusually strong ENSO events have brought fire issues to the forefront in research on deforestation and tropical rain forests (Cochrane et al., 1999, Nepstadt et al., 1999). An estimated 10,000 km2 of mature forest burned in Rondônia, Brazil, alone the later half of 1997 through 1998, while other large fires were detected in eastern Pará and the Tapajós Basin (Barbosa, 1998 sited in Cochrane and Sculze, 1998a). Although charcoal remnants suggest fire is a natural disturbance mechanism within tropical moist forest ecosystems, fire frequency is thought to be extremely low, at intervals in the hundreds if not thousands of years (Sanford et al., 1985, Saldarriaga et al., 1988, Turcq et al., 1998). Recent dramatic increases, however, are no doubt propelled by persisting development of the Amazon in combination with occasionally severe drought conditions. Field study evidence of potential forest damage from accidental fire is particularly startling. Whereas initial forest fires may cause some damage, an estimated 10% loss of live biomass, re-current fires within formerly burnt forest areas can destroy up to 80% of living biomass (Cochrane and Schulze, 1998b). Such fires may increase over all deforestation estimates in some regions by 129% (Cochrane et al., 1999).
Forest structure and conditions left after selective logging also bring concern of increased forest flammability as gaps in forest canopies and residual tree damage create dry fuel loads at forest ground level, that more easily combust during peak dry periods (Uhl and Buschbacher, 1985, Uhl et al., 1988, Fearnside, 1990, Uhl and Kauffman, 1990). The estimated 80–90% forest canopy of mature tropical moist forests can be reduced to 50% after experiencing logging (Nepstad et al., 1991). There is also evidence that burn or re-current burn damage in forests can vary by log extraction technique (Holdsworth and Uhl, 1997). The size of potentially vulnerable forest cover is significant: an estimated 10,000–15,000 km2 of forest per year are currently damaged by logging crews (Instituto do Homen e Meio Ambiente da Amazônia, sited in Holdsworth and Uhl, 1997, Nepstadt et al., 1999). Yet, much of this research has been conducted on large-scale cattle ranches, which often include vulnerable logged forest patches. Less attention has been focused on links between those setting fires and other land use pathways which eventually culminate in fire activity, accidental fire and environmental degradation. An estimated 400,000 smallholders are distributed across Amazon territory and use fire in their land use practices (Serrão and Homma, 1993). Their potential impacts on local fire activity need further investigation.
In addition to field scale studies on forest flammability, biomass burning accumulation and potential trace gas emissions form a crux of regional scale research on fire issues in the Brazilian Amazon. Brazil’s contribution to global biomass burning has been estimated at 50–70% of total biomass burning (Myers, 1991), while annual CO2 accumulation is calculated at 228 t × 106 for the Brazilian Legal Amazon1 in the base year 1990 (Fearnside, 1997). To derive regional biomass burning estimates, a multiscaled strategy is often employed which includes land cover classification of remotely sensed data and extrapolation of finer scale ecological processes (Houghton et al., 1991, Schroeder and Winjum, 1995, Fearnside, 1997). In particular, field survey data on biomass content within mature and secondary forest covers, estimates of fire efficiency, and calculations on replacement biomass, comprise the important finer scale variables necessary for estimation (Seiler and Crutzen, 1980, Brass et al., 1996, Fearnside and Guimaraes, 1996). Yet, error is often compounded through sampling scale or extrapolation, decreasing biomass burning estimation accuracy (Robinson, 1989, Rastetter et al., 1992, McGwire et al., 1993). For example, Malingreau and Belward (1992) found that burns can be under-or over-represented in remotely sensed data dependent on the spatial resolution of that data. While issues of scale translation in landscape ecosystem assessment and monitoring continue to be discussed (Turner et al., 1989, Levine, 1992, Rastetter et al., 1992), how accuracy is affected when translation involves both biotic (i.e., biomass content) and non-biotic processes (i.e., microclimatic conditions, human action, land area exposed to fire) has not been thoroughly addressed. To reduce potential inaccuracy, refinement of how local ecological variables interact with non-biotic processes, particularly human land use decisions is necessary (Sorrensen, 1998).
This paper examines smallholder fire use practices and presents a strategy to analyze ecological and non-biotic processes at the ground level and refine ecological variables used in regional biomass burning estimation. It presents a conceptual model to link biomass burning variables to land use pathways that influence these variables. Then it presents research focused on one specific pathway, that of smallholder farming. While multi-scale work is occurring, particularly on deforestation (Brondizio et al., 1994, Moran et al., 1994, Skole et al., 1994), this paper highlights those variables that are specifically important to biomass burning: biomass density, total area exposed to fire, burning efficiency, replacement vegetation, and vulnerability of vegetation to fire. Biomass burning is very much linked to deforestation, being the most common land clearance practice after trees have been felled. However, burning is also associated to a number of land management strategies after initial deforestation, making the temporal aspect of local fire use complex. Evaluating net emissions also depends on temporal understanding of land use and subsequent replacement vegetation (Fearnside and Guimarães, 1996). Concerns of global biomass burning merit strategies that cater specifically to fire use study and can be utilized in extrapolation to larger spatial scales.
The study region is located in the agricultural frontier south of the regional city of Santarém, Pará, and is contained in the municipality of Belterra (Fig. 1). Fire activity, forest flammability and field surveying for regional estimation has typically focused on the ‘arc’ of deforestation that runs through eastern Pará and along the southern flank of the Legal Amazon. Consequently, areas with a mixture of old spontaneous settlement and contemporary colonization have not been investigated. The study region is such an area and resides north central of this arc. Climate is tropical with an annual rainfall over 2000 mm and a distinct dry season of 2–3 months. Mean annual air temperature is 25°C. The native vegetation in the region is classified as terra firme, an upland forest cover that is not subject to periodic inundation by river systems (Olegário Pereira de Carvalho, 1992). These forests are usually situated on well-drained plateaus with heights exceeding 40 m. As human settlement has persisted, vegetation cover is more varied now. Up to 50 year old secondary succession from rubber plantations encircles the town of Belterra, while the long established rural area east of Belterra and the Santarém-Cuiabá Road (BR-163 in Fig. 1) contains largely younger secondary succession (less than 25 years old). South of Belterra, along the Santarém-Cuiabá Road smallholder lots still maintain between 50–70% primary forest, with the rest of land cover a mix of cropland, pasture and fallows (secondary succession).
Section snippets
Methods
Methods were adapted from Moran and Brondizio (1998), reorienting sampling towards measurement of variables important for biomass burning issues. A schematic is shown in Fig. 2. Local field surveying consisted of sampling fallows to estimate pre-burn and post-burn biomass content. Fourteen fallows representing secondary succession at various stages (1–5 years, 6–10 years, and 11–15 years) and one forest were sampled. All sites were selected, slashed and burnt by their respective owners and
Fire types, land use pathways and fire activity
Many common land use pathways in the Brazilian Amazon utilize fire either directly or indirectly. These pathways involve different human players and vegetation cover, and produce different fire types with varying fuel loads, fire regimes, trace gas emissions compositions, fire efficiencies, and land sizes exposed to flames (Fig. 3). While research has addressed specific aspects of fire activity, it is useful to conceptualize general land use strategies associated to fire activity because land
Vegetation vulnerability to smallholder intentional fires
Smallholder farmers often slash and burn more than one plot on their properties and these fires occur in different aged slashed secondary succession or forest at different points in the burning season. Table 1, Table 2, Table 3, Table 4, show results from household surveys on burning practices. Overall, households burn slashed young and intermediate succession, with less than 10% of vegetation burnt originating from forest cover. Burning of slashed young succession occurs throughout the 5 month
Fire efficiency on smallholder properties
Fire efficiency is a difficult variable in biomass burning estimation to quantify accurately (Fearnside et al., 1993). In the Brazilian Amazon, a 27–33% efficiency ratio is typically used for estimating slashed forest biomass loss resulting from fires, while a higher rate 40–60% is used in slashed secondary succession (Schroeder and Winjum, 1995, Fearnside, 1997). Table 5 shows pre-fire and post-fire biomass loads and fire efficiency rates for all sites sampled in this study. Sites are ordered
Discussion
Smallholders in the study region burn mostly secondary succession near to areas previously worked and abandoned. This limits the threat of accidental fire to forest cover that tends to be located in more remote areas of smallholder lots. If smallholders were to place all new agricultural fields on the outskirts of their properties, perhaps forest cover, either logged or mature, would be more frequently susceptible to fire. However, farmers usually select locations for cropland that are
Acknowledgements
Fieldwork was funded by the Center for Institutions, Population, and Environment at Indiana University, Bloomington, IN and the National Aeronautics and Space Administration (NGT5-300420). In addition, I am grateful to the Belém, Santarém, and Belterra personnel of Embrapa for their logistical support during fieldwork. I would like to thank Joanna Tucker and Valnilson Barbosa for their hard work and expertise. I would like to thank reviewers of this manuscript for their valuable comments.
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