Do levels of income explain differences in game abundance? An emperical test in two Honduran villages
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Artículo
impreso(a)
y electrónico
Idioma: Inglés Tema(s) en español: Recurso en línea: Formatos físicos adicionales disponibles: - Disponible en línea
| Tipo de ítem | Biblioteca actual | Colección | Info Vol | Estado | Código de barras | |
|---|---|---|---|---|---|---|
| Artículos | Biblioteca Electrónica Recursos en línea (RE) | FROSUR | Recurso digital | ECO400402253985 | ||
| Artículos | Biblioteca San Cristóbal Artículos Honduras Hemeroteca (AR H H) | FROSUR | 001 | Disponible | 250918CB8675 |
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Although researchers have documented the role of anthropogenic hunting pressure on the abundance of game, few have measured the direct effects of income or economic development on game abundance. Economic theory tends to predict an ambiguous causal relation between income and the abundance of game. Here we test whether income (a standard proxy of economic development) erodes the abundance of game in two Tawahka Amerindian villages in the rain forest of Honduras. The two villages have similar ecologies and weather and lie 17 km apart but differ in income, population size, wealth, the presence of outside institutions, and hunting pressure. A census of animals done over 2 continuous years suggests that the richer village had less game and relatively fewer large-bodied animals. At the level of animal groups (e.g., mammals) or individual species, or when we include controls for the simultaneous effect of vegetation type, distance from the start of the hunting trail, and time of the year through a random-effect probit model, the two villages display no statistically significant differences in game abundance. A random-effect, multivariate tobit model, in fact, suggests that being in the more remote village correlated with 43.5% fewer animals seen in any one encounter; results were significant at the 99% confidence level. The conclusions contain a discussion of why income might produce ambiguous effects on game abundance and the tradeoffs of using bivariate and multivariate techniques to analyze the covariates of game abundance in the tropical rain forests of the New World. Inglés
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