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Effective alleviation of rural poverty depends on the interplay between productivity, nutrients, water and soil quality

机译:有效减轻农村贫困取决于生产力,养分,水和土壤质量之间的相互作用

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Most of the world's poorest people come from rural areas and depend on their local ecosystems for food production. Recent research has highlighted the importance of self-reinforcing dynamics between low soil quality and persistent poverty but little is known on how they affect poverty alleviation. We investigate how the intertwined dynamics of household assets, nutrients (especially phosphorus), water and soil quality influence food production and determine the conditions for escape from poverty for the rural poor. We have developed a suite of dynamic, multidimensional poverty trap models of households that combine economic aspects of growth with ecological dynamics of soil quality, water and nutrient flows to analyze the effectiveness of common poverty alleviation strategies such as intensification through agrochemical inputs, diversification of energy sources and conservation tillage. Our results show that (i) agrochemical inputs can reinforce poverty by degrading soil quality, (ii) diversification of household energy sources can create possibilities for effective application of other strategies, and (iii) sequencing of interventions can improve effectiveness of conservation tillage. Our model-based approach demonstrates the interdependence of economic and ecological dynamics which preclude blanket solution for poverty alleviation. Stylized models as developed here can be used for testing effectiveness of different strategies given biophysical and economic settings in the target region.
机译:世界上大多数最贫穷的人都来自农村地区,依靠当地的生态系统来生产粮食。最近的研究强调了在低土壤质量和持续贫困之间进行自我强化动态的重要性,但人们对它们如何影响扶贫知之甚少。我们调查了家庭资产,营养素(尤其是磷),水和土壤质量的相互交错的动态如何影响粮食生产,并确定了农村贫困人口摆脱贫困的条件。我们开发了一套动态的多维贫困陷阱模型,将家庭的经济增长与土壤质量,水和养分流的生态动力学相结合,以分析常见的减贫战略(例如通过农用化学品投入的集约化,能源的多样化)的有效性来源和保护性耕作。我们的结果表明,(i)农用化学品的投入可以通过降低土壤质量来加剧贫困;(ii)家庭能源的多样化可以为其他策略的有效应用创造可能性;(iii)干预的顺序可以提高保护性耕作的有效性。我们基于模型的方法论证了经济和生态动力学的相互依存关系,从而无法一揽子地解决贫困问题。在目标区域的生物物理和经济环境下,此处开发的程式化模型可用于测试不同策略的有效性。

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