Impact of policies and subsidies in agribusiness: The case of oil palm and biofuels in Colombia

Castiblanco, Carmenza; Moreno, A.; Etter, Andrés

doi:10.1016/j.eneco.2015.02.025

Cited by 36 publications

(13 citation statements)

References 16 publications

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“…4) Crops: Agriculture consisting of annual or semiannual crops (corn, sugar canna, plantain, mainly). 5) Palm plantations: Extensive areas of the CGE have been cultivated with African palm ( Elaeis Guineensis Jacq) [51]. These palms take about three years to mature and produce oil.…”

Section: Methodsmentioning

confidence: 99%

Geospatial modeling of land cover change in the Chocó-Darien global ecoregion of South America; One of most biodiverse and rainy areas in the world

Fagua

Ramsey

2019

PLoS ONE

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The tropical rain forests of northwest South America fall within the Chocó-Darien Global Ecoregion (CGE). The CGE is one of 25 global biodiversity hotspots prioritized for conservation due to its high biodiversity and endemism as well as threats due to deforestation. The analysis of land-use and land-cover (LULC) change within the CGE using remotely sensed imagery is challenging because this area is considered to be one of the rainiest places on the planet (hence high frequency of cloud cover). Furthermore, the availability of high-resolution remotely sensed data is low for developing countries before 2015. Using the Random Forest ensemble learning classification tree system, we developed annual LULC maps in the CGE from 2002 to 2015 using a time series of cloud-free MODIS vegetation index products. The MODIS imagery was processed through a Gaussian weighted filter to further correct for cloud pollution and matched to visual interpretations of land cover and land use from available high spatial resolution imagery (WorldView-2, Quick Bird, Ikonos and GeoEye-1). Validation of LULC maps resulted in a Kappa of 0.87 (Sd = 0.008). We detected a gradual replacement of forested areas with agriculture (mainly grassland planted to support livestock grazing), and secondary vegetation (agriculture reverting to forest) across the CGE. Forest loss was higher between 2010–2015 when compared to 2002–2010. LULC change trends, deforestation drivers, and reforestation transitions varied according to administrative organization (countries: Panamanian CGE, Colombian CGE, and Ecuadorian CGE).

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Section: Methodsmentioning

confidence: 99%

Geospatial modeling of land cover change in the Chocó-Darien global ecoregion of South America; One of most biodiverse and rainy areas in the world

Fagua

Ramsey

2019

PLoS ONE

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“…, Rangel ). Crops : consists of annual or semiannual crops (corn, sugar canna, plantain, mainly). Palm plantations : Extensive areas of the CGE have been cultivated with African palm ( Elaeis Guineensis Jacq; Castiblanco et al. ). The productive life of this crop is about 25 yr, at which point plantations are replanted with younger palms (Mingorance et al.…”

Section: Methodsmentioning

confidence: 99%

Drivers of forest cover changes in the Chocó‐Darien Global Ecoregion of South America

2019

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Tropical rain forests are suffering the highest deforestation and reforestation ever recorded. Interactions between direct (proximate or direct causes) and indirect (underling or indirect causes) drivers could cluster these forest cover changes forming hotspots (areas that exhibit significant spatial correlation of deforestation or reforestation transitions). Using land use–land cover maps and global (I) and local (Ii) Moran's tests, we identified these hotspots in the Chocó‐Darien Global Ecoregion (CGE) of South America, a natural region that was declared one of the top 25 hotspots for conservation priorities in the world. Subsequently, we tested and studied the effects and interactions between deforestation and reforestation hotspots and their direct and indirect drivers using Bayesian Structural Equation Modeling (Bayesian SEM). We found that deforestation and reforestation were spatially auto‐correlated forming hotspots (I = 0.49, P = 0.001 for deforestation transitions and I = 0.48, P = 0.001 for reforestation transitions). Also, hotspots of deforestation and reforestation were auto‐correlated within municipality borders (I = 0.5, P = 0.001 for deforestation transitions; I = 0.49, P = 0.001 for reforestation transitions). Eighteen municipalities located on the border between Colombia and Ecuador showed significant aggregations of deforestation hotspots, while thirty‐four municipalities in three areas of Colombia and the area between the Colombian and Ecuadorian border showed significant clustering of reforestation hotspots. Eleven of these municipalities presented significant clustering of both reforestation and deforestation hotspots. The Bayesian SEM for deforestation showed that population growth and road density were indirect drivers of deforestation hotspots (0.191 and 0.127 standard deviation units). The Bayesian SEM for reforestation found that armed conflicts, Gross Domestic Product, and average annual rain were indirect drivers related to reforestation hotspots (0.228, 0.076, and 0.081 standard deviation units, respectively). Our assessment shows a novel methodology to study interactions among direct and indirect drivers of forest change and their potential dissimilar effects on forest transitions.

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“…La expansión del cultivo en Indonesia y Malasia se incrementó de manera vertiginosa durante los últimos ocho años, lo que les permitió convertirse en el soporte del mercado de aceite de palma, participando con el 84% de la producción mundial en 2015 (GreenPalm, 2016). La elevada rentabilidad de la palma de aceite en estos países se debe a la sumatoria de varios factores: disponibilidad de financiamiento, importantes subsidios y apoyos por parte del Estado, dinámicas de informalidad y bajos precios de la tierra, disponibilidad de fuerza de trabajo mal remunerada, elevados rendimientos por hectárea y óptimas condiciones edafoclimáticas para el desarrollo del cultivo (Achten y Verchot, 2011, Castiblanco et al, 2015;Dürr, 2016).…”

Section: Introductionunclassified

Variabilidad espacial y análisis multitemporal sobre los cambios en las coberturas de la tierra ocasionados por la expansión del cultivo de la palma de aceite en los años 1985, 2000 y 2016 en el municipio de San Carlos de Guaroa (Colombia)

Rojas

Rozo

2018

Gest. Ambient.

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El cultivo de palma de aceite ha transformado el ambiente debido a la demanda global de materias primas para biocombustibles, la política doméstica de sustitución de importaciones y el modelo de desarrollo agroindustrial. En este artículo se presentan los principales resultados de un ejercicio de análisis espacial multitemporal desarrollado para el municipio de San Carlos de Guaroa (departamento del Meta, Colombia) con el propósito de identificar y analizar las transiciones de uso del suelo durante los años 1985, 2000 y 2016. Se identificaron patrones de cambio en tres coberturas de suelo definidas: bosques de galería, cultivo de palma de aceite y áreas de uso agropecuario. Entre 1985-2016 el 19,38% de los bosques de galería desapareció (1.845,45 hectáreas), con una tasa anual de reducción estimada media de 3,22% (59,53 hectáreas) y en su mayoría fueron reemplazados por cultivos de palma de aceite. La expansión del cultivo de palma de aceite en este periodo fue estimada en un promedio de 1.312,56 hectáreas por año.

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Impact of policies and subsidies in agribusiness: The case of oil palm and biofuels in Colombia

Cited by 36 publications

References 16 publications

Geospatial modeling of land cover change in the Chocó-Darien global ecoregion of South America; One of most biodiverse and rainy areas in the world

Geospatial modeling of land cover change in the Chocó-Darien global ecoregion of South America; One of most biodiverse and rainy areas in the world

Drivers of forest cover changes in the Chocó‐Darien Global Ecoregion of South America

Variabilidad espacial y análisis multitemporal sobre los cambios en las coberturas de la tierra ocasionados por la expansión del cultivo de la palma de aceite en los años 1985, 2000 y 2016 en el municipio de San Carlos de Guaroa (Colombia)

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