理解和模拟非农收入对热带森林砍伐的模糊影响

IF 2.7 4区 环境科学与生态学 Q1 AGRICULTURE, MULTIDISCIPLINARY
T. Knoke, E. Gosling, Esther Reith
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引用次数: 0

摘要

很少有土地分配模型考虑非农收入对热带森林砍伐的影响。我们提出了一个将非农收入整合到一个机械的多目标土地分配模型中的概念,同时区分了是否重新分配非农劳动力以获得非农收入的农场。在劳动力重新分配的农场,我们发现非农收入降低了农民对毁林相关农业收入的经济依赖,从而减少了热带森林砍伐。非农收入的影响包括两个方面:可获得的额外收入和非农劳动力对非农活动的再分配。劳动力效应比收入效应更倾向于减少森林砍伐。在没有重新分配农场劳动力的农场,我们展示了农民如何利用非农收入购买额外的劳动力来加速森林砍伐。我们的研究强调了在土地利用模型中考虑非农收入的重要性,这样可以更好地理解、模拟并可能遏制热带森林砍伐。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding and modelling the ambiguous impact of off-farm income on tropical deforestation
ABSTRACT Few land-allocation models consider the impact of off-farm income on tropical deforestation. We provide a concept to integrate off-farm income in a mechanistic multiple-objective land-allocation model, while distinguishing between farms with and without re-allocation of on-farm labor to obtain off-farm income. On farms with re-allocation of labor we found that off-farm income reduced farmers’ financial dependency on deforestation-related agricultural income leading to less tropical deforestation. The influence of off-farm income covered two aspects: availability of additional income and re-allocation of on-farm labor to off-farm activities. The labor effect tended to reduce deforestation slightly more than the income effect. On farms without re-allocation of on-farm labor we showed how farmers can use off-farm income to purchase additional labor to accelerate deforestation. Our study highlights the importance of considering off-farm income in land-use models to better understand, model and possibly curb tropical deforestation.
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来源期刊
Journal of Land Use Science
Journal of Land Use Science Environmental Science-Management, Monitoring, Policy and Law
CiteScore
5.40
自引率
6.20%
发文量
26
期刊介绍: The Journal of Land Use Science provides a central outlet for high-quality articles on theoretical and empirical aspects of land-use science at the interface of social and environmental systems. The Journal brings together an array of research perspectives at multiple temporal, spatial and social scales that contribute a better understanding of land-system dynamics and communicate scientific advances towards attaining land-system sustainability.
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