Sustainable Intensification in a Forest-agriculture Frontier Landscape: Analysis of C Capture and Sequestration Potential Under Two Different Scenarios in Binga District, Zimbabwe

M. Ruggeri
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引用次数: 2

Abstract

Zimbabwe has been experiencing widespread land degradation, soil erosion, increasing aridity and temperatures that, coupled with population growth, pose a menace to agricultural production and prospective food security. As a win-win strategy, conservation agriculture (CA) is being promoted across the country with the objective to restore damaged ecosystems, curb and revert environmental depletion and guarantee food security. Binga district, where smallholders’ cropland expansion has been identified as the main driver of deforestation, has been one of the first recipient of CA-supporting projects and is the current beneficiary of a newly implemented Reducing Emissions from Deforestation and Degradation (REDD)+ project. In light of the controversial forest-sparing/forest-clearing effect of sustainable intensification, the present study tried to assess how the adoption of CA may influence deforestation rates in the area and related C stocks under two hypothetical future scenarios. A pool of experts was consulted with the objective to quantify land cover changes in 2040 and the model InVEST was used to compute the district C stocks under the two considered scenarios. Findings show that the rate of CA adoption in Binga is very limited, partly failing to address the problem of agriculture-driven deforestation and widespread farmland degradation. Consequently, both scenarios portray a district doomed to a poverty-environmental degradation vicious cycle that, according to experts, requires a holistic approach to be eased.
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林农前沿景观的可持续集约化:津巴布韦宾加地区两种不同情景下碳捕获和固存潜力分析
津巴布韦一直在经历广泛的土地退化、土壤侵蚀、日益干旱和温度升高,加上人口增长,对农业生产和未来的粮食安全构成威胁。作为一个双赢的战略,保护性农业(CA)正在全国范围内推广,目的是恢复受损的生态系统,遏制和恢复环境枯竭,保障粮食安全。在宾加地区,小农的耕地扩张已被确定为森林砍伐的主要驱动因素,该地区是首批获得ca支持项目的地区之一,也是新实施的“减少森林砍伐和退化造成的排放”(REDD +)项目的受益者。鉴于有争议的可持续集约化对森林保护/森林砍伐的影响,本研究试图评估在两种假设的未来情景下,采用CA如何影响该地区的森林砍伐率和相关的碳储量。为了量化2040年的土地覆盖变化,我们咨询了大量专家,并使用InVEST模型计算了两种考虑情景下的C区储量。研究结果表明,Binga的CA采用率非常有限,在一定程度上未能解决农业驱动的森林砍伐和广泛的农田退化问题。因此,这两种情况都描绘了一个注定要陷入贫困-环境退化恶性循环的地区,据专家称,需要采取全面的方法来缓解这种恶性循环。
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