- Page 2 and 3: Agricultural Technologies and Tropi
- Page 4 and 5: Contributors Contributors Arild Ang
- Page 6 and 7: Contributors xi Peter Roebeling (pe
- Page 8 and 9: Preface Preface As researchers and
- Page 10 and 11: Contents Contents Contributors ix P
- Page 12: 14 A Century of Technological Chang
- Page 15 and 16: 2 Arild Angelsen and David Kaimowit
- Page 17 and 18: 4 Arild Angelsen and David Kaimowit
- Page 19 and 20: 6 Arild Angelsen and David Kaimowit
- Page 21: 8 Arild Angelsen and David Kaimowit
- Page 25 and 26: 12 Arild Angelsen and David Kaimowi
- Page 27 and 28: 14 Arild Angelsen and David Kaimowi
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- Page 32 and 33: Technological Arild 2 AngelsenChang
- Page 34 and 35: Technological Change and Deforestat
- Page 36 and 37: 3. Farm-level Effects Farmers respo
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- Page 40 and 41: Technological Change and Deforestat
- Page 42 and 43: 4. Macroanalysis: General Equilibri
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- Page 46 and 47: the relation between technological
- Page 48 and 49: Transition Alexander 3 from Mather
- Page 50 and 51: Transition from Deforestation to Re
- Page 52 and 53: Transition from Deforestation to Re
- Page 54 and 55: Transition from Deforestation to Re
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- Page 66 and 67: Did Thomas 4 a Green K. Rudel Revol
- Page 68 and 69: Did a Green Revolution Restore the
- Page 70 and 71: Did a Green Revolution Restore the
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Did a Green Revolution Restore the
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Did a Green Revolution Restore the
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Did a Green Revolution Restore the
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Did a Green Revolution Restore the
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4 Later, farmers learned to use mac
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Equilibrium Andrea 5 Cattaneo Analy
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Equilibrium Analysis of Technology,
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Equilibrium Analysis of Technology,
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Equilibrium Analysis of Technology,
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Equilibrium Analysis of Technology,
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Equilibrium Analysis of Technology,
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Equilibrium Analysis of Technology,
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Equilibrium Analysis of Technology,
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Equilibrium Analysis of Technology,
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Equilibrium Analysis of Technology,
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intensive in any specific factor, r
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Pasture Douglas 6 Management White
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large amounts of primary forest ult
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Pasture Management in Latin America
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Pasture Management in Latin America
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promising new forage germplasm. The
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6. Empirical Results Does improved
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Pasture Management in Latin America
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Secondly, we reported the above res
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management, if they had an incentiv
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Pasture Management in Latin America
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Pasture Management in Latin America
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114 Stephen A. Vosti et al. more fo
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116 Stephen A. Vosti et al. The pro
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118 Stephen A. Vosti et al. practic
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120 Stephen A. Vosti et al. fencing
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122 Stephen A. Vosti et al. Table 7
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124 Stephen A. Vosti et al. Table 7
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126 Stephen A. Vosti et al. competi
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128 Stephen A. Vosti et al. Herd gr
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130 Stephen A. Vosti et al. promoti
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132 Stephen A. Vosti et al. EMATER-
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Technological Peter 8 RoebelingProg
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Technological Progress versus Econo
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preferences determine productive ch
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eventually decide to sell their lan
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Technological Progress versus Econo
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159 Table 8.3. Technological progre
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Technological Progress versus Econo
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In conclusion, technological progre
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References Technological Progress v
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Land Francisco 9 Use, Pichon Agricu
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Land Use, Agricultural Technology a
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Land Use, Agricultural Technology a
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173 Other characteristics Impact on
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combination of labour constraints i
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Land Use, Agricultural Technology a
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Land Use, Agricultural Technology a
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Ecuador Sven 10 Wunder Goes Bananas
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Sections 2, 3 and 4 analyse three p
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Ecuador Goes Bananas 171 mule, on s
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Oro provinces, workers recall that
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from the 1950s to 1964, but the PNB
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191 Table 10.1. Geographical distri
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The technological package accompany
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195 Table 10.2. The diffusion of te
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Ecuador Goes Bananas 183 predominan
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199 Export markets Rising demand Sa
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Ecuador Goes Bananas 187 two factor
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Ecuador Goes Bananas 189 land, foll
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Ecuador Goes Bananas 191 In regard
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Ecuador Goes Bananas 193 Acosta, A.
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Soybean David 11 Kaimowitz Technolo
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Soybean Technology 197 Brazil has c
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Soybean Technology 199 3.1. Technol
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Soybean Technology 201 Table 11.1.
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4. The Brazilian Cerrado Soybean Te
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The soybean lobby Soybean Technolog
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Soybean Technology 207 Agricultural
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credit allowed Brazilian farmers to
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Soybean Technology 211 Morales, I.
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214 David Yanggen and Thomas Reardo
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216 David Yanggen and Thomas Reardo
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218 David Yanggen and Thomas Reardo
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220 David Yanggen and Thomas Reardo
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222 David Yanggen and Thomas Reardo
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224 David Yanggen and Thomas Reardo
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226 David Yanggen and Thomas Reardo
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228 David Yanggen and Thomas Reardo
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230 David Yanggen and Thomas Reardo
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232 Thomas Reardon and Christopher
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234 Thomas Reardon and Christopher
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236 Thomas Reardon and Christopher
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238 Thomas Reardon and Christopher
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240 Thomas Reardon and Christopher
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242 Thomas Reardon and Christopher
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244 Thomas Reardon and Christopher
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246 Thomas Reardon and Christopher
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248 Thomas Reardon and Christopher
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250 Thomas Reardon and Christopher
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252 Stein Holden Section 2 presents
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254 Stein Holden Holden (1991, 1993
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256 Stein Holden Table 14.1. Simula
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258 Stein Holden Table 14.3. Simula
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260 Stein Holden soils, while bean
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262 Stein Holden deforestation, at
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278 Table 14.6. The evolution of th
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266 Stein Holden agriculture and th
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268 Stein Holden Holden, S.T. (1993
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Livestock Robin 15 S. Reid Disease
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ut only 9% in infested areas (Reid
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Livestock Disease Control 275 38% i
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Livestock Disease Control 277 and t
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We applied our approach to modellin
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Livestock Disease Control 281 small
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Livestock Disease Control 283 deter
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to region, because different techno
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Livestock Disease Control 287 Bourn
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Livestock Disease Control 289 Ormer
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Tree François 16 Crops Ruf as Defo
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Tree Crops as Deforestation and Ref
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Tree Crops as Deforestation and Ref
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Tree Crops as Deforestation and Ref
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313 Planting with nurseries and pla
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Tree Crops as Deforestation and Ref
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Tree Crops as Deforestation and Ref
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Tree Crops as Deforestation and Ref
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321 Herbicides, mostly in the 1990s
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Tree Crops as Deforestation and Ref
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Tree Crops as Deforestation and Ref
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Tree Crops as Deforestation and Ref
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Tree Crops as Deforestation and Ref
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318 Sisira Jayasuriya feasible. Nev
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320 Sisira Jayasuriya 2.1. Case 1.1
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322 Sisira Jayasuriya Price increas
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338 Table 17.1. Summary of models,
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326 Sisira Jayasuriya because wage
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328 Sisira Jayasuriya most tropical
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330 Sisira Jayasuriya 4.5. Case 3.5
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332 Sisira Jayasuriya and commodity
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334 Sisira Jayasuriya Natural Resou
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336 Gerald Shively and Elmer Martin
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338 Gerald Shively and Elmer Martin
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340 Gerald Shively and Elmer Martin
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342 Gerald Shively and Elmer Martin
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344 Gerald Shively and Elmer Martin
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346 Gerald Shively and Elmer Martin
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348 Ian Coxhead et al. natural fore
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350 Ian Coxhead et al. Fig. 19.1. L
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352 Ian Coxhead et al. reduce depen
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354 Ian Coxhead et al. from externa
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356 Ian Coxhead et al. by hiring mo
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358 Ian Coxhead et al. More explana
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360 Ian Coxhead et al. domestic pro
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362 Ian Coxhead et al. IUCN (1988)
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364 Ian Coxhead et al. ∑[ i i i X
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The Wil 20 de Impact Jongof Rubber
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The Impact of Rubber on the Forest
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The Impact of Rubber on the Forest
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quality and farmers are willing to
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The Impact of Rubber on the Forest
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391 Table 20.2. General characteris
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take into account the degree of gov
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The Impact of Rubber on the Forest
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384 Arild Angelsen and David Kaimow
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386 Arild Angelsen and David Kaimow
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388 Arild Angelsen and David Kaimow
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390 Arild Angelsen and David Kaimow
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392 Arild Angelsen and David Kaimow
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394 Arild Angelsen and David Kaimow
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396 Arild Angelsen and David Kaimow
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398 Arild Angelsen and David Kaimow
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400 Arild Angelsen and David Kaimow
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402 Arild Angelsen and David Kaimow
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404 David Kaimowitz and Arild Angel
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406 David Kaimowitz and Arild Angel
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408 David Kaimowitz and Arild Angel
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410 David Kaimowitz and Arild Angel
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Index Index acidification 14, 203,
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commodity booms 9, 13, 15, 16, 30,
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primary forest 4, 178, 218, 296-297
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systems 113-130 see also cattle; da
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silvopastoral 106 slash-and-burn 4,