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津巴布韦小农户的作物多样化与生计:应对环境变化的适应性管理

Crop diversification and livelihoods of smallholder farmers in Zimbabwe: adaptive management for environmental change.

作者信息

Makate Clifton, Wang Rongchang, Makate Marshall, Mango Nelson

机构信息

UNEP-Tongji Institute of Environment for Sustainable Development, Tongji University, Shanghai, 200092 China.

Key Laboratory of Yangtze Aquatic Environment (MOE), State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092 China.

出版信息

Springerplus. 2016 Jul 19;5(1):1135. doi: 10.1186/s40064-016-2802-4. eCollection 2016.

Abstract

This paper demonstrates how crop diversification impacts on two outcomes of climate smart agriculture; increased productivity (legume and cereal crop productivity) and enhanced resilience (household income, food security, and nutrition) in rural Zimbabwe. Using data from over 500 smallholder farmers, we jointly estimate crop diversification and each of the outcome variables within a conditional (recursive) mixed process framework that corrects for selectivity bias arising due to the voluntary nature of crop diversification. We find that crop diversification depends on the land size, farming experience, asset wealth, location, access to agricultural extension services, information on output prices, low transportation costs and general information access. Our results also indicate that an increase in the rate of adoption improves crop productivity, income, food security and nutrition at household level. Overall, our results are indicative of the importance of crop diversification as a viable climate smart agriculture practice that significantly enhances crop productivity and consequently resilience in rural smallholder farming systems. We, therefore, recommend wider adoption of diversified cropping systems notably those currently less diversified for greater adaptation to the ever-changing climate.

摘要

本文展示了作物多样化如何影响津巴布韦农村气候智能型农业的两个成果;提高生产力(豆类和谷类作物生产力)以及增强恢复力(家庭收入、粮食安全和营养)。利用来自500多名小农户的数据,我们在一个条件(递归)混合过程框架内联合估计作物多样化以及每个成果变量,该框架纠正了由于作物多样化的自愿性质而产生的选择性偏差。我们发现作物多样化取决于土地规模、耕作经验、资产财富、位置、获得农业推广服务的机会、产出价格信息、低运输成本和一般信息获取。我们的结果还表明,采用率的提高会提高家庭层面的作物生产力、收入、粮食安全和营养。总体而言,我们的结果表明作物多样化作为一种可行的气候智能型农业实践非常重要,它能显著提高作物生产力,从而增强农村小农户耕作系统的恢复力。因此,我们建议更广泛地采用多样化种植系统,特别是那些目前多样性较低的系统,以便更好地适应不断变化的气候。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/adad/4951382/42326d406e01/40064_2016_2802_Fig1_HTML.jpg

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