Simulations and results Directory UMM :Data Elmu:jurnal:A:Agriculture, Ecosystems and Environment:Vol82.Issue1-3.Dec2000:

82 C. Line Carpentier et al. Agriculture, Ecosystems and Environment 82 2000 73–88 Table 3 Technological coefficients for settlement farms cattle production systems in Acre, by level of technology Technical coefficients Extensive Intensive Herd dynamics Calving rate 50 67 Mortality rate 1 year 10 6 2 years 5 3 2 years 3 2 Cullingdiscard rate Cows 10 Bull 6 12 Herd inputs Feed supplements elephant grass, forage kganimal 20 Salt kganimalyear 10 Mineral salt kganimalyear 18.25 Animal health Aftosa vaccinationsanimalyear 2 2 Brucellosis vaccinationsfemale calfyear 1 Rabies vaccinationsanimalyear 1 Carrapaciticida ml of butoxanimalyear; to control ticks 5 10 Worm control mlanimalyear 10 25 Antibiotics Mata bicheira cubic centimeteranimalyear; to control internal parasites 0.03 Terramicina mlyear to 1 2 the herd 0.06 0.13 Labor for herd management Milking man-dayslactating cowmonth 0.9 1.5 Other livestock man-daysanimal unitmonth 0.3 0.6 Herd production Meat production Calf weight kg 60 75 Weight of fattened steer kg 210 225 Milk production Milk production dry lday 2.5 4.5 Milk production wet lday 3 6 Lactation period daysyear 180 240 man-days requires a chain saw and 0.2 man-days re- quires an ox. The remaining is just labor. Returns per cubic meter or per hectare, excluding labor and equip- ment costs but including transportation costs, is R95.

4. Simulations and results

This section presents four simulations represent- ing different types of intensification along with their resulting land uses and incomes. 4.1. Simulations The validated model reflecting 1994 policy, socio- economic, technological, and biophysical conditions is used to simulate the environmental and income implications of four different types of intensification available or that could be made available to farmers. The model contains all types of intensification and simulations are generated by “turning on” some or all intensification types, thus making them available to farmers. C. Line Carpentier et al. Agriculture, Ecosystems and Environment 82 2000 73–88 83 Intensification has typically been viewed as inten- sifying activities on cultivated or cleared land. Types of intensification on cleared land are added one at a time to generate the first three simulations for the well-situated farmer described in Section 3.2. Extrac- tion of timber is not allowed for these simulations. First, the model is constrained to use only the ex- tensive low-productivity activities; all intensification types are turned off. Second, all types of intensifica- tion are available to choose for non-livestock annuals and perennials activities on cleared land. Then in- tensification is available on all cleared land activities annuals, perennials, pasture and cattle production. For the fourth simulation, all intensification types on the cleared land are turned on, in addition to the low-impact forest management on forested land. In all simulations with intensification technologies turned on, the farmer is free to choose extensive or intensive systems for some or all of the activities. Adoption of particular land uses and technology levels indicates that given the model constraints, these activities are the most profitable over the 25-year period. 4.2. Land-use results 4.2.1. No intensification available This simulation reflects the situation of farmers that do not have access to intensification information because of inadequate extension services, lack of edu- cation making farmers unable to comprehend avail- able information, or farm remoteness. This would not typically be the case for the well-situated farmer modeled here. Under this technological starvation de- forestation begins slowly, accelerates somewhat from about year 3 to year 15, and then slows substantially but does not stop. Fig. 4 shows how land uses change from the initial land-use conditions to replace forest with pasture and fallow. The area in pasture expands dramatically between year 3 and about year 10, and remains constant thereafter, though the composition of this pasture changes as older pastures are put into fallow rehabilitation cycles and new pastures are es- tablished. Extensive pasture has a useful life of only 11 years, thus pasture starts being rehabilitated in year 14 and cycles in and out as batches of a pasture’s use- ful life expires. At year 25 pasture reaches 31 ha and forest 9 ha. Annual crops increase slightly and then stay constant at 5 ha throughout the planning horizon. Manioc for consumption is the only perennial crop grown here. The initial fallow disappears at the be- ginning of the simulation and then reappears in year 12, to reach 11 ha at year 25. This “no intensification” simulation thus retains a fair amount of biomass in the forest and fallow land uses, although the lot is dominated by pasture at year 25. This simulation has farmers sell on an average 130 man-days off the farm, although about 40 man-days are hired-in during the peak months of February, April, and May. Therefore, even with extensive low-productivity technologies, activities on cultivated land generate greater revenues than Brazil nut extraction. Revenues average R1800 per year and are generated mostly from sales of annual crops, milk, and labor. 4.2.2. Intensification available on non-livestock activities on cleared land This simulation could result from lack of access to pasture and cattle technologies, either because of lack of access to the farm as above, or because anti-cattle policies prevent research and diffusion of intensive cattle production technologies. Intensified annual rice, corn, and bean production in monoculture are adopted when intensification is allowed on non-livestock ac- tivities. Perennials other than manioc are still not adopted. This adoption indicates that intensified an- nual crop production is now more profitable than the extensive pasture and livestock activities. As a result, 7 ha, the maximum amount of hectares in annuals that can be maintained given the labor constraint, are planted. Pasture is still grown but less than in the technological starvation simulation. At year 25, 28 ha of pasture are present Fig. 5, mainly because pasture requires labor in different months than the an- nuals. A cycle of fallow rotation is initiated earlier to sustain the annual production the intensified system presented here does not use commercial fertilizers. The deforestation rate is initially higher than when no intensification is available, thus less forest remains at year 25, i.e. 8 ha, compared to 9 ha above. The deforestation rate increases because 1 more capital is available earlier on to hire labor to deforest and 2 future incomes from the cleared land are higher than before. About 2 ha of pasture are rehabilitated in any given year after year 10. Revenues average approxi- mately R2900 and sold labor is approximately 100 man-days, while hired labor averaged 38 man-days 84 C. Line Carpentier et al. Agriculture, Ecosystems and Environment 82 2000 73–88 after the first 4 years. Two-thirds of the income is generated from livestock activities and 20 from annuals. 4.2.3. Intensification available on all activities on cleared land This simulation could be considered the baseline for the well-situated farmers modeled here because 1 farmers are not currently allowed to extract timber from their forest reserves, 2 the low-impact forest management technology is still at the pilot level, and 3 well-situated farmers are likely to have access to intensification information on all technologies. Other farm types more distant from the market or with less farmer education may not have such access, so there baselines may lie somewhere between the first three simulations. When allowed to choose the intensity level of all activities on cleared land including pasture and cat- tle production, the modeled farmer overwhelmingly selects the intensified technologies on all activities. Intensified pasture and livestock activities are more profitable than intensified annuals or perennials and 85 of the farm is in pasture at year 25. Fig. 6 depicts the land-use patterns associated with this sim- ulation. Although more cash is available to hire labor to slash and burn the forest, and the larger stream of revenues from the cleared land should provide incen- tive for higher deforestation rates, the deforestation rate is slower than under the limited intensification simulations on cleared land because labor demand for pasture establishment and maintenance limits the rate at which the forest can be cleared. However, that rate is maintained throughout the simulation and the forest disappears completely at year 25. Extended out to 35 years, the simulation suggests that fallow continues to increase at approximately 0.20 ha ev- ery 2 years and plateaus at 5.5 ha in year 35. The only brake on deforestation under this simulation is the labor constraint; without constraint on labor, the forest disappears within 19 years Carpentier et al., 2000a. Not all activities and land uses are homogeneous. Mainly because of differences in labor demand and the months in which this labor is needed, the same activities are practiced at different levels of intensity. For example, in almost any year, some annuals are grown with the extensive and intensified technologies Fig. 6. Also, some extensive pasture is maintained throughout for the bull and the ox. Finally, fallow ap- pears between years 5 and 12, disappears completely, and reappears in year 18, after which it keeps on in- creasing to provide the nutrients to support annual crop production. Even after the forest has completely dis- appeared, it is still cheaper to grow the family’s basic food rice, corn, beans, and manioc, which requires fallowing some land for a few years, than to buy the food at market prices plus transportation costs. Taken together, financial flows from on-farm agri- cultural and extractive activities and off-farm sales of adult male labor are substantial. Savings during the first few years allow for subsequent investments that boost production and consumption in later years. Large investments negative savings are required in years 5, 9, and 11 to expand intensified pasture areas and purchase higher-quality cattle. Farm profits peak at about year 13, at a level of approximately R9000 per year, and appear to begin to decline or stabilize af- ter the end of the 25-year time horizon presented here. Sold labor averages approximately 125 man-days and hired labor about 48 man-days after the first 3 years. 4.2.4. Intensification allowed on all activities on cleared and forested land This simulation makes available an intensive ac- tivity on the forested land in addition to the intensi- fication technologies of the previous simulation. This intensification technology is the pilot low-impact forest management conducted by EMBRAPA. As mentioned earlier, before this technology is available to farmers three obstacles have to be surmounted: 1 the technology must be perfected and passed on to farmers, 2 farmers must be willing to manage their forests as common property, and 3 the law must be changed to legalize the activity. Fig. 7 presents the land uses associated with in- tensification on both sides of the farm, cleared and forested land. Clearly given 1994 prices and costs, intensification on the forested land reduces the defor- estation rate and preserves more forest at year 25 than the other intensification simulations. Land uses under this simulation are closer to the simulation with avail- able intensification on all cleared land than the no and limited intensification on cleared land. At year 25, 47 ha are in pasture, 9 ha in forest, and 4 ha in annuals C. Line Carpentier et al. Agriculture, Ecosystems and Environment 82 2000 73–88 85 and perennials. Thus, compared to intensification on cleared land, the annual area is reduced and fallow is eliminated completely, reflecting the higher opportu- nity cost of the land under this simulation. Intensified pasture is still the dominant land use. Intensifying on both sides of the farm, at least for the type of inten- sification presented here, takes some pressure off the forest but does not stop deforestation. The average rate of deforestation for intensification on cleared land only is 1.72, compared to 1.38 for intensification on both cleared and forested land. The rate of defor- estation decreases over time for all simulations, but it decreases more quickly for the simulation with intensi- fication on all land. The average deforestation rate for the last 5 years is 1.5 for the intensification on cleared land and 0.8 for the simulation with intensification on all land. At that rate, the forest would not disappear for another 10.5 years, or in 35.5 years instead of 25 years. The hired and sold labor patterns vary more drastically under this simulation. Hired labor is ap- proximately 28 man-days after 3 years, increases to 40 man-days between years 4 and 9, and drops back down to 20 man-days starting in year 10. Sold labor is 140 man-days the first 3 years, drops to 90 man-days from year 4 to 13, and increase to 125 thereafter. Large investments are made in years 5, 9, and 11. The average income approximates 9500, composed of dairy activities 85, annuals 9, extraction activi- ties 4, and labor 2. The difference between the simulation with intensification on all cleared land is Fig. 8. Income and forest preserved at year 25 by level and type of intensification. that its deforestation rate is maintained until all forest is gone, while the deforestation rate of the other simu- lations slow down earlier on. The main difference with the no and limited intensification on cleared land simulations is not how much forest is preserved, but rather the elimination of fallow and degraded pasture, lower annuals, and more pasture. For instance, the no and limited intensification on cleared land have 14 and 17 ha of fallow and degraded land, respectively. These hectares constitute additional pasture under the simu- lation with intensification on all land. In addition, this simulation has half as much annuals as the no and lim- ited intensification on cleared land. Sensitivity analy- sis with 1996 prices reveals that 20 ha of forest would be preserved with the higher timber and coffee prices farmers were offered in 1996. Even in 1996, however, income from the cleared land is larger than from the forested land since the forest keeps going down. 4.3. Farm income results Of critical interest to settlement farmers is the profit stream they can hope to earn from the collec- tions of on- and off-farm activities they choose. Fig. 8 charts the net present value NPV of the income streams generated by the four simulations set out above. Clearly, there is a trade-off between income and forest preserved as the farm is intensified on the cleared land. As intensification increases on cleared land, larger incomes are generated: R9020 for the 86 C. Line Carpentier et al. Agriculture, Ecosystems and Environment 82 2000 73–88 technological starvation, R19 813 for intensifica- tion on non-livestock cleared land, and R50 635 for intensification on all cleared land simulations. The corresponding hectares of forest preserved at year 25 for these simulations are 9, 8, and 0 ha, respectively. Intensification on the forested land, on the other hand, provides a gain in both income and forest pre- served in year 25. The NPV of the income stream over the 25-year period is R55 000, and 9 ha of forest re- main in year 25. Sensitivity analysis with 1996 prices increases this income further to R90 000. Thus high coffee and timber prices provide a win-win situation in which both farmers’ income and amount of forest preserved increase. The average number of man-days hired-in and sold off-farm over the years sum over the months in each year under each simulation indicate the cyclical nature of labor demand, the profitability of on-farm activity compared to on-going wages, and relative re- turns to labor. The simulation with intensification on all cleared land hired-in the most man-days, approxi- mately 50, while the simulation with intensification on both cleared and forested land hired-in the least, approximately 30 man-days. More labor was needed under the simulation with intensification on all cleared land to support the sustained deforestation rate and the intensive pasture system. Under the last simula- tion, more labor was needed during the early years to extract timber, deforest, and establish pasture, but declined once less timber remained to be extracted, the pasture was established, and deforestation slowed down. Of the total 180 man-days that could have been sold off-farm, the well-situated farm sold the least under the intensification on non-livestock activities on cleared land simulation and the most under the no in- tensification simulation. That is returns to labor under no intensification were generally lower than on going wages. Moreover, intensive annual production selected under the intensification on non-livestock activities simulation generated large enough returns to main- tain labor on-farm and is more labor intensive than pasture production or pasture and timber extraction.

5. Conclusion and policy implications