Organización para Estudios Tropicales, (OET), Costa Rica
Bibliografía Nacional en Biología Tropical, (BINABITROP)

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Signatura:Biblioteca OET: NBINA-4786.
Autor: Geist, Helmut J; Lambin, Eric F.
Dirección: University of Louvain, Department of Geography, LUCC International Project Office, Place Louis Pasteur 3, 1348 Louvain-la-Neuve, BE lucc.ipo@geog.ucl.ac.be.
Título: LUCC Report Series, no. 4. What drives tropical deforestation? A meta-analysis of proximate and underlying causes of deforestation based on subnational case study evidence. ¨Qué dirige la deforestación tropical? Un meta-análisis de las causas próximas y subyacentes de la deforestación con base a un estudio de caso subnacional.
P.imprenta: 136 pp. Año 2001. Editorial Louvain-la-Neuve, University of Louvain, BE.
Descriptores: DEFORESTATION; CAUSES; FOREST DECLINE; CYCLONES; NATURAL FIRES; PESTS; FLOODING; AGRICULTURAL EXPANSION; CATTLE RANCHING; LOGGING; MINING; CONSTRUCTION OF DAMS; ROADS; MARKET FAILURES; MISTAKEN POLICY INTERVENTIONS; POPULATION GROWTH; POPULATION DENSITY; ECONOMIC GROWTH; GREENHOUSE EFFECT; CLIMATE CHANGE.
COSTA RICA; HONDURAS; GUATEMALA; CENTRAL AMERICA; MEXICO; NORTH AMERICA; ECUADOR; BRAZIL; BOLIVIA; COLOMBIA; SOUTH AMERICA.
Resumen: To conclude this overview on proximate, underlying and other causes associated with tropical deforestation, we developed a preliminary scheme which depicts the relations between proximate and underlying causes as translated from the meta-analysis of subnational cases in a descriptive manner. Compared to another, most recent descriptive (but not quantified) scheme, striking similarities (e.g., grouping of natural causes at the proximate or direct level) and minor differences (e.g., formatting of cultural and technological factors) are obvious - cf Figures 2 and 3. Considering our meta-anlysis to be the first study which relates underlying to proximate causes in a systematised manner, a summarisation of the quantified scheme of Figure 3 is provided in Figure 9 (inlay). To conclude the discussion of strengths and weaknesses of the methodology used (which certainly has implications for the conclusions drawn from the statistical results), we are aware of own interpretation bias (variable grouping, coding, data exploration), while original author bias is minimal and selection bias (case study areas, not so agents) is limited. As compared to the methodological foundations of other case study comparisons ? see subchapters 1 and 2.1 ?, we feel that our standard criteria, i.e., to choose only ISI covered journal articles and to try a middle way between fine-scale local studies and crossnational data explorations, is unique and timely. This meta-analysis is the first study which, in a systematised manner, relates underlying to proximate causes for a very large number of case studies - and, first time, quantifies the causative linkages (cf Figure 9)
Compiled by: Organization for Tropical Studies


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