Typologies and Spatialization of Agricultural Production Systems in Rondônia, Brazil: Linking Land Use, Socioeconomics and Territorial Configuration
Abstract
:1. Introduction
2. Materials and Data Preparation
2.1. Study Area
2.2. Metrics to Characterization of Production Systems
2.2.1. Dimension 1: Agricultural Production
2.2.2. Dimension 2: Economics
2.2.2.1. Gross Domestic Product (GDP)
2.2.2.2. Agricultural Credit
2.2.2.3. Logistics
2.2.3. Dimension 3: Territorial Configuration
2.2.3.1. The Amazon Deforestation Monitoring Project (PRODES)
2.2.3.2. TerraClass
2.2.3.3. Conservation Units
2.2.4. Dimension 4: Social Characteristics
3. Metrics and Data Analysis
3.1. Identification of Agricultural Production Systems
3.2. Characterization of Agricultural Production Systems
3.2.1. Concentration of Annual Crops and Coffee
3.2.2. Verification of Metrics
4. Results
4.1. Localization of Agricultural Production Systems
4.2. Characterization of Agricultural Production Systems
4.2.1. Concentration of Annual Crops
4.2.2. Quantitative Analysis of Production Systems
5. Discussion
5.1. Agricultural Production
5.2. Economics
5.3. Territorial Configuration
5.4. Social Characteristics
6. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
Abbreviations
EMBRAPA | Brazilian Agricultural Research Corporation—Empresa Brasileira de Pesquisa Agropecuária (in Portuguese) |
GDP | Gross Domestic Product—Produto Interno Bruto |
IBGE | Brazilian Institute of Geography and Statistics—Instituto Brasileiro de Geografia e Estatística |
INCRA | National Institute of Colonization and Agrarian ReformInstituto Nacional de Colonização e Reforma Agrária |
INPE | Nacional Institute for Space research—Instituto Nacional de Pesquisas Espaciais |
MHDI | Municipal Human Development Index—Indice de Desenvolvimento Humano Municipal (in portuguese) |
PRODES | Project for the Monitoring of Brasilian Amazon Forest by satellite—Projeto de Monitoramento da Floresta Amazônica Brasileira por Satelite |
SIPAM | Amazon Protection System—Sistema de proteção da Amazônia |
TerraClass | Project for Monitoring the Land Use Land Cover in Brazilian Amazon—Projeto de Monitoramento do Uso e Cobertura da terra na Amazônica Brasileira |
Appendix A
Metrics
Dimension | Metric | Description | Unit |
---|---|---|---|
agricultural production (Section 2.2.1) | AMProp | Mean area of properties within municipality (total area of properties/total number of properties) | km2 |
NbovPast_T2 | Average capacity of TerraClass (Clean, dirty and regenerating) pastures = Total number of cattle in municipality 2010/Total number of TerraClass pastures in 2010 | Cattle/ha | |
NVacReb_T2 | Proportion of milk cows within the total cattle population | % | |
AMCafe_T2 | Mean cultivation area of coffee in the municipality in 2010 | ha | |
DACafeT2 | Percent of deforested area in each municipality cultivated by coffee in 2010 | % | |
economics (Section 2.2.2) PIB (Section 2.2.2.1) | PIB_T2 | Municipal GDP in 2010 | R$ × 1000 |
PIBAgro_T2 | Municipal GDP for agricultural sector in 2010 | R$ × 1000 | |
EvPIB_T1T2 | Evolution of GDP (2000 to 2010) = GDP 2010 – GDP 2000 | R$ × 1000 | |
EvPIBAgro_T1T2 | Evolution of agricultural GDP (2000 to 2010) = agricultural GDP 2010 – agricultural GDP 2000 | R$ × 1000 | |
PIBPRD_T2 | Relationship between GDP in 2010 and mean deforestation from PRODES in 2010 | R$ × 1000/km2 PRODES | |
EvPIBPRD_T1T2 | Evolution of PIBPRD between 2000 and 2010 = PIBPRD_T2 – PIBPRD_T1 | R$ × 1000/km2 PRODES | |
PIBAgroPRD_T2 | Relationship between agricultural GDP in 2010 de 2010 and mean deforestation from PRODES in 2010 | R$ × 1000/km2 PRODES | |
EvPIBAgroPRD_T1T2 | Evolution of PIBAgroPRD between 2000 and 2010. = PIBAgroPRD_T2 – PIBAgroPRD_T1 | R$ × 1000/km2 PRODES | |
PIBHab_T2 | Relationship between GDP 2010 and human population of municipality | R$ × 1000/hab. | |
EvPIBHab_T1T2 | Evolution of the relationship between GDP and human population of municipality 2000–2010 | R$ × 1000/hab. | |
PIBAgroPopR_T2 | Relationship between GDP and human population of the rural zone of the municipality in 2010 | R$ × 1000/hab. | |
EvPIBAgroPopR_T1T2 | Evolution of the relationship between GDP and human population of the rural zone of the municipality 2000–2010 | R$ × 1000/hab. | |
economics (Section 2.2.2) agricultural credit (Section 2.2.2.2) | NcrAg_2010 | Mean number of agricultural credit operations in municipality in 2010 | Unit |
NTCrAg_T1T2 | Mean number of agricultural credit operations in municipality 2000–2010 | Unit | |
RsMCrAg_T2 | Mean value of agricultural credit operations in municipality in 2010 | R$ × 1000 | |
RsCrAgPRD_T2 | Relationship between total agricultural credit in 2010 and mean deforestation up to 2010 from PRODES | R$ × 1000/km2 Deforest. | |
RsmCrAgPRD_T1T2 | Relationship between total agricultural credit in 2010 and mean deforestation between 2000 and 2010 from PRODES | R$ × 1000/km2 Deforet. | |
economics (Section 2.2.2) Logística (Section 2.2.2.3) | DEst | Relationship between the total perimeter of roads and the total municipal area | km/km2 |
DHdr | Total perimeter of polygons and vectors for hydrography of municipality/total area of municipality | km/km2 | |
territorial configuration (Section 2.2.3) PRODES (Section 2.2.3.1) | AMPRD_T1T2 | Mean area of PRODES polygons 2000–2010 | km2 |
APPRD_T1T2 | Area/Perimeter of PRODES polygons 2000–2010 | - | |
DDesf_T2 | % deforestation in municipality from PRODES for 2010 | % | |
DDesf_T1T2 | Evolution of % deforestation in municipality from PRODES between 2000 and 2010 = DdesfT2 – DdesfT1 | % | |
TxMDesf_T1T2 | Mean rate of annual deforestation 2001–2010 from PRODES. | % | |
territorial configuration (Section 2.2.3) TerraClass (Section 2.2.3.2) | AMPTC_T2 | Mean area of TerraClass 2010 polygons | km2 |
APTC_T2 | Area/Perimeter of TerraClass 2010 polygons | - | |
DPTC_T2 | Density of TerraClass 2010 polygons | poligons/km2 | |
DATCAA_T2 | Density of annual crop class from TerraClass 2010 | % | |
DATCMO_T2 | Density of mosaic occupation class from TerraClass 2010 | % | |
DATCPL_T2 | Density of clean pasture class from TerraClass 2010 | % | |
DATCPS_T2 | Density of dirty pasture class from TerraClass 2010 | % | |
DATCRP_T2 | Density of regerating pasture class from TerraClass 2010 | % | |
DATCVS_T2 | Density of secondary vegetation class from TerraClass 2010 | % | |
territorial configuration (Section 2.2.3) Unidades Conservação Ambiental (Section 2.2.3.3) | DAUPA | % area of conservation units within municipality | % |
Social characteristics (Section 2.2.4) | IDHM_T2 | Human development index (HDI) for 2010, composed of three dimensions of human development: longevity, education and income | Index (0 to 1) |
IDHM_T1aT2 | Evolution of municipal HDI between 2000–2010 | Index (0 to 1) | |
DPobre_T2 | % of adults with an income equal to or below R$14,000 per month in August 2010 | % of municipal population | |
EvDPobre_T1T2 | Change in % of people living under poverty between 2000 and 2010 | % of municipal population | |
DPAss | % municipal area occupied by settlement projects | % | |
PopR_T2 | Population of the rural zone (demographic census 2010) | Unit | |
EvPopR_T1T2 | Change in population in rural zone 2000–2010 | Unit | |
PopRPRD_T2 | Relationship between population of the rural zone and mean deforestation to 2010 from PRODES | inhabitants /km2 Deforest. | |
EvPopRPRD_T1T2 | Change in relationship between population of the rural zone and deforested from PRODES data, areas between 2000 and 2010 | inhabitants /km2 Deforest. | |
EvPopRPRD_T1T2 (%) | % change in relationship between population of the rural zone in 2010 and mean deforestation from PRODES until 2010 | % |
% Economic Contribution | ||||||||
---|---|---|---|---|---|---|---|---|
Municipality | Production System | Rice | Beans | Cassava | Corn | Soybean | Concentration | Principal Crop |
Cabixi | CA | 4% | 0% | 4% | 13% | 79% | “concentrated” | Soybean |
Cerejeiras | 11% | 0% | 2% | 20% | 67% | “concentrated” | Soybean | |
Corumbiara | 12% | 0% | 3% | 11% | 74% | “concentrated” | Soybean | |
Pimenteiras do Oeste | 7% | 0% | 1% | 2% | 90% | “concentrated” | Soybean | |
Vilhena | 3% | 0% | 1% | 25% | 71% | “concentrated” | Soybean | |
Rio Crespo | IB | 40% | 1% | 50% | 8% | 1% | “conjugated” | Cassava |
Espigão D’Oeste | 14% | 1% | 42% | 43% | 0% | “conjugated” | Corn | |
Alto Paraiso | 11% | 1% | 85% | 3% | 0% | “concentrated” | Cassava | |
Buritis | 6% | 2% | 76% | 15% | 0% | “concentrated” | Cassava | |
Cacaulândia | 1% | 0% | 96% | 4% | 0% | “concentrated” | Cassava | |
Nova Mamoré | 1% | 1% | 91% | 7% | 0% | “concentrated” | Cassava | |
Ariquemes | 44% | 2% | 26% | 18% | 10% | “diffused” | Rice | |
Primavera de Rondônia | 48% | 1% | 33% | 18% | 0% | “diffused” | Rice | |
São Francisco do Guaporé | 41% | 0% | 31% | 28% | 0% | “diffused” | Rice | |
Campo Novo deRondônia | 26% | 3% | 42% | 29% | 0% | “diffused” | Cassava | |
Castanheiras | 28% | 0% | 56% | 16% | 0% | “diffused” | Cassava | |
Ministro Andreazza | 12% | 5% | 62% | 21% | 0% | “diffused” | Cassava | |
Montenegro | 30% | 4% | 43% | 24% | 0% | “diffused” | Cassava | |
Rolim de Moura | 19% | 7% | 53% | 21% | 0% | “diffused” | Cassava | |
Santa Luzia D’Oeste | 21% | 15% | 29% | 35% | 0% | “diffused” | Corn | |
Chupinguaia | 18% | 0% | 3% | 14% | 65% | “diffused” | Soybean | |
Colorado do Oeste | 29% | 1% | 19% | 8% | 44% | “diffused” | Soybean | |
Presidente Medici | IBM | 46% | 1% | 42% | 11% | 0% | “conjugated” | Rice |
Vale do Paraiso | 6% | 3% | 24% | 67% | 0% | “conjugated” | Corn | |
Ji-Paraná | 2% | 1% | 83% | 14% | 0% | “concentrated” | Cassava | |
Ouro Preto do Oeste | 2% | 1% | 92% | 6% | 0% | “concentrated” | Cassava | |
Alvorada D’Oeste | 38% | 3% | 39% | 19% | 0% | “diffused” | Cassava | |
Gov.Jorge Teixeira | 8% | 24% | 45% | 23% | 0% | “diffused” | Cassava | |
Jaru | 11% | 12% | 61% | 16% | 0% | “diffused” | Cassava | |
Nova União | 12% | 13% | 56% | 18% | 0% | “diffused” | Cassava | |
Novo Horizonte do Oeste | 34% | 6% | 38% | 22% | 0% | “diffused” | Cassava | |
Teixeirópolis | 14% | 3% | 49% | 35% | 0% | “diffused” | Cassava | |
Theobroma | 20% | 3% | 55% | 22% | 0% | “diffused” | Cassava | |
Vale do Anari | 24% | 2% | 58% | 17% | 0% | “diffused” | Cassava | |
Urupa | 9% | 10% | 39% | 42% | 0% | “diffused” | Corn | |
Cacoal | SIB | 13% | 2% | 58% | 27% | 0% | “conjugated” | Cassava |
Costa Marques | 24% | 2% | 66% | 8% | 0% | “conjugated” | Cassava | |
Candeias do Jamari | 4% | 0% | 95% | 1% | 0% | “concentrated” | Cassava | |
Cujubim | 14% | 5% | 77% | 5% | 0% | “concentrated” | Cassava | |
Gujara-Mirim | 1% | 0% | 93% | 5% | 0% | “concentrated” | Cassava | |
Itapuã do Oeste | 12% | 4% | 72% | 3% | 9% | “concentrated” | Cassava | |
Pimenta Bueno | 10% | 0% | 80% | 9% | 0% | “concentrated” | Cassava | |
Seringueiras | 15% | 1% | 74% | 9% | 0% | “concentrated” | Cassava | |
Parecis | 14% | 3% | 46% | 37% | 0% | “diffused” | Cassava | |
Alta Floresta do Oeste | 7% | 27% | 20% | 46% | 0% | “diffused” | Corn | |
Alto Alegre do Parecis | 10% | 24% | 26% | 40% | 0% | “diffused” | Corn | |
São Miguel do Guaporé | SIBM | 44% | 1% | 43% | 11% | 0% | “conjugated” | Rice |
Machadinho D’Oeste | 10% | 3% | 76% | 12% | 0% | “concentrated” | Cassava | |
São Felipe D’Oeste | 41% | 13% | 8% | 38% | 0% | “diffused” | Rice | |
Mirante da Serra | 15% | 8% | 51% | 26% | 0% | “diffused” | Cassava | |
Nova Brasilândia D’Oeste | 18% | 5% | 62% | 16% | 0% | “diffused” | Cassava |
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Rules | Class of Concentration | Number of Principal Crops |
---|---|---|
C1 ≥ 67% | “concentrated” | one crop |
C1 < 67% and C1 + C2 ≥ 84% | “conjugated” | two crops |
C1 + C2 < 84% | “diffused” | three or more crops |
Production System | Concentration | Principal Crop | Municipality |
---|---|---|---|
CA | “concentrated” | Soybean | Cabixi (2), Cerejeiras (3), Corumbiara (4), Pimenteiras do Oeste (5), Vilhena (6) |
IB | “conjugated” | Cassava | Rio Crespo (36) |
Corn | Espigão D’Oeste (31) | ||
“concentrated” | Cassava | Alto Paraiso (23), Buritis (25), Cacaulândia (26), Nova Mamoré (34) | |
“diffused” | Rice | Ariquemes (24), Primavera de Rondônia (35), São Francisco do Guaporé (39) | |
Cassava | Campo Novo de Rondônia (27), Castanheiras (28), Ministro Andreazza (32), Montenegro (33), Rolim de Moura (37) | ||
Corn | Santa Luzia D’Oeste (38) | ||
Soybean | Chupinguaia (29), Colorado do Oeste (30) | ||
IBM | “conjugated” | Rice | Presidente Medici (47) |
Corn | Vale do Paraiso (52) | ||
“concentrated” | Cassava | Ji-Paraná (43), Ouro Preto do Oeste (46) | |
“diffused” | Cassava | Alvorada D’Oeste (40), Gov.Jorge Teixeira (41), Jaru (42), Nova União (44), Novo Horizonte do Oeste (45), Teixeirópolis (48), Theobroma (49), Vale do Anari (51) | |
Corn | Urupa (50) | ||
SIB | “conjugated” | Cassava | Cacoal (9), Costa Marques (11) |
“concentrated” | Cassava | Candeias do Jamari (10), Cujubim (12), Guajara-Mirim (13), Itapuã do Oeste (14), Pimenta Bueno (16), Seringueiras (17) | |
“diffused” | Cassava | Parecis (15) | |
Corn | Alta Floresta do Oeste (7), Alto Alegre do Parecis (8) | ||
SIBM | “conjugated” | Rice | São Miguel do Guaporé (22) |
“concentrated” | Cassava | Machadinho D’Oeste (18) | |
“diffused” | Rice | São Felipe D’Oeste (21) | |
Cassava | Mirante da Serra (19), Nova Brasilândia D’Oeste (20) |
Agricultural Production System | ||||||
---|---|---|---|---|---|---|
Dimension | Metric | CA | IB | IBM | SIB | SIBM |
agricultural production (Section 2.2.1) | AMProp | 2.65 (a) | 1.24 (b) | 0.69 (b) | 1.45 (ab) | 0.59 (b) |
NbovPast_T2 | 1.74 (ab) | 2.05 (ab) | 2.21 (a) | 1.62 (b) | 1.91 (ab) | |
NvacReb_T2 | 5.49 (c) | 5.93 (c) | 19.67 (a) | 4.87 (c) | 15.18 (b) | |
AMCafe_T2 | 50 (c) | 2487 (bc) | 3043 (abc) | 3346 (ab) | 7376 (a) | |
DACafe_T2 | 0.04 | 0.11 | 2.21 | 2.66 | 2.27 | |
economics (Section 2.2.2) PIB (Section 2.2.2.1) | PIB_T2 | 414,322.20 | 343,418.94 | 329,017.15 | 267,644.00 | 196,971.80 |
PIBAgro_T2 | 98,103.80 | 87,592.06 | 72,330.62 | 80,524.00 | 75,123.80 | |
EvPIB_T1T2 | 292,951.80 | 246,097.56 | 222,601.00 | 211,807.58 | 145,211.20 | |
EvPIBAgro_T1T2 | 72,661.80 | 67,386.13 | 49,017.15 | 68,555.92 | 59,915.20 | |
PIBPRD_T2 | 286.55 | 184.94 | 195.06 | 160.52 | 201.73 | |
EvPIBPRD_T1T2 | 181.39 | 121.63 | 125.18 | 111.32 | 142.16 | |
PIBAgroPRD_T2 | 73.90 | 53.54 | 56.13 | 47.08 | 81.36 | |
EvPIBAgroPRD_T1T2 | 49.86 | 37.67 | 36.25 | 36.33 | 64.37 | |
PIBHab_T2 | 22.21 (a) | 15.04 (ab) | 12.26 (b) | 13.95 (ab) | 14.68 (ab) | |
EvPIBHab_T1T2 | 16.71 | 10.95 | 8.61 | 10.26 | 11.27 | |
PIBAgroPopR_T2 | 34.54 (a) | 12.66 (b) | 8.44 (b) | 13.64 (b) | 9.56 (b) | |
EvPIBAgroPopR_T1T2 | 26.51 (a) | 10.09 (b) | 6.45 (b) | 11.56 (b) | 8.09 (b) | |
economics (Section 2.2.2) agricultural credit (Section 2.2.2.2) | NcrAg_T2 | 397.80 | 453.65 | 474.00 | 458.00 | 667.20 |
NTCrAg_T1T2 | 4522.00 | 4582.00 | 6675.92 | 5673.55 | 8361.40 | |
RsMCrAg_T2 | 56.13 (a) | 30.79 (ab) | 29.45 (ab) | 31.23 (ab) | 12.56 (b) | |
RsCrAgPRD_T2 | 15.35 (a) | 7.38 (b) | 10.23 (ab) | 6.19 (b) | 8.36 (a) | |
RsMCrAgPRD_T1T2 | 8.95 (ab) | 4.11 (ab) | 4.58 (ab) | 3.10 (b) | 10.05 (a) | |
economics (Section 2.2.2) logístics (Section 2.2.2.3) | DEst | 7.95 | 6.97 | 6.76 | 15.36 | 8.59 |
DHdr | 0.058 | 0.047 | 0.061 | 0.062 | 0.066 | |
territorial configuration (Section 2.2.3) PRODES (Section 2.2.3.1) | AMPRD_T1T2 (km2) | 0.220 (a) | 0.183 (b) | 0.140 (c) | 0.179 (b) | 0.150 (c) |
APPRD_T1T2 | 62.02 (a) | 60.36 (b) | 52.81 (e) | 59.41 (c) | 55.94 (d) | |
DDesf_T2 (%) | 41.5 (b) | 66.7 (a) | 71.4 (a) | 32.4 (b) | 54.4 (ab) | |
DDesf_T1T2 (%) | 4.9 | 10.4 | 6.3 | 11.6 | 8.3 | |
TxMDesf_T1aT2 (%) | 1.4 (b) | 3.0 (a) | 3.4 (a) | 2.0 (ab) | 2.3 (ab) | |
territorial configuration (Section 2.2.3) TerraClass (Section 2.2.3.2) | AMPTC_T2 (km2) | 0.712 | 0.651 | 0.413 | 0.418 | 0.360 |
APTC_T2 | 44.67 (a) | 42.53 (c) | 38.26 (e) | 43.42 (b) | 40.94 (d) | |
DPTC_T2 | 1.94 (b) | 3.17 (ab) | 3.40 (a) | 2.07 (ab) | 3.18 (ab) | |
DATCAA_T2 | 24.12 (a) | 1.19 (b) | 0.07 (b) | 0.72 (b) | 0.52 (b) | |
DATCMO_T2 | 0.22 (b) | 1.43 (b) | 2.33 (ab) | 1.58 (b) | 6.23 (a) | |
DATCPL_T2 | 45.07 (c) | 68.79 (a) | 73.52 (a) | 52.90 (bc) | 56.10 (b) | |
DATCPS_T2 | 6.07 (b) | 7.16 (b) | 5.55 (b) | 13.32 (a) | 11.42(ab) | |
DATCRP_T2 | 8.47 (a) | 3.01 (b) | 2.25 (b) | 9.01 (a) | 7.30 (a) | |
DATCVS_T2 | 13.90 | 16.37 | 15.79 | 19.44 | 17.72 | |
territorial configuration (Section 2.2.3) conservation units (Section 2.2.3.3) | DAUPA (%) | 29.1 (ab) | 12.2 (b) | 16.5 (b) | 43.9 (a) | 27.9 (ab) |
social characteristics (Section 2.2.4) | IDHM_T2 | 0.67 | 0.65 | 0.64 | 0.63 | 0.64 |
IDHM_T1aT2 | 0.16 | 0.17 | 0.18 | 0.16 | 0.18 | |
DPobre_T2 | 16.76 | 19.87 | 23.33 | 23.13 | 26.52 | |
EvDPobre_T1T2 | −17.85 | −15.89 | −15.83 | −16.45 | −13.32 | |
DPAss | 0.20 | 0.47 | 0.52 | 0.20 | 0.28 | |
PopR_T2 | 3486.00 (b) | 7387.81 (ab) | 8449.85 (ab) | 6695.25 (ab) | 9964.40 (a) | |
EvPopR_T1T2 | −657.80 | −1141.31 | −2959.54 | 408.42 | −684.60 | |
PopRPRD_T2 | 2.62 (c) | 4.81 (b) | 6.97 (a) | 4.24 (b) | 8.08 (a) | |
EvPopRPRD_T1T2 | −0.99 (a) | −2.05 (ab) | −3.36 (bc) | −1.83 (a) | −3.59 (c) | |
EvPopRPRD_T1T2 (%) | −24.31 | −27.37 | −32.48 | −26.07 | −29.06 |
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Almeida, C.; Mourão, M.; Dessay, N.; Lacques, A.-E.; Monteiro, A.; Durieux, L.; Venturieri, A.; Seyler, F. Typologies and Spatialization of Agricultural Production Systems in Rondônia, Brazil: Linking Land Use, Socioeconomics and Territorial Configuration. Land 2016, 5, 18. https://doi.org/10.3390/land5020018
Almeida C, Mourão M, Dessay N, Lacques A-E, Monteiro A, Durieux L, Venturieri A, Seyler F. Typologies and Spatialization of Agricultural Production Systems in Rondônia, Brazil: Linking Land Use, Socioeconomics and Territorial Configuration. Land. 2016; 5(2):18. https://doi.org/10.3390/land5020018
Chicago/Turabian StyleAlmeida, Cláudio, Moisés Mourão, Nadine Dessay, Anne-Elisabeth Lacques, Antônio Monteiro, Laurent Durieux, Adriano Venturieri, and Frédérique Seyler. 2016. "Typologies and Spatialization of Agricultural Production Systems in Rondônia, Brazil: Linking Land Use, Socioeconomics and Territorial Configuration" Land 5, no. 2: 18. https://doi.org/10.3390/land5020018
APA StyleAlmeida, C., Mourão, M., Dessay, N., Lacques, A.-E., Monteiro, A., Durieux, L., Venturieri, A., & Seyler, F. (2016). Typologies and Spatialization of Agricultural Production Systems in Rondônia, Brazil: Linking Land Use, Socioeconomics and Territorial Configuration. Land, 5(2), 18. https://doi.org/10.3390/land5020018