دورية أكاديمية

The structures underpinning vulnerability:Examining landscape-society interactions in a smallholder coffee agroforestry system

التفاصيل البيبلوغرافية
العنوان: The structures underpinning vulnerability:Examining landscape-society interactions in a smallholder coffee agroforestry system
المؤلفون: Morel, Alexandra C., Hirons, Mark, Demissie, Sheleme, Gonfa, Techane, Mehrabi, Zia, Long, Peter R., Rifai, Sami, Woldemariam Gole, Tadesse, Mason, John, McDermott, Constance L., Boyd, Emily, Robinson, Elizabeth J.Z., Malhi, Yadvinder, Norris, Ken
المصدر: Morel , A C , Hirons , M , Demissie , S , Gonfa , T , Mehrabi , Z , Long , P R , Rifai , S , Woldemariam Gole , T , Mason , J , McDermott , C L , Boyd , E , Robinson , E J Z , Malhi , Y & Norris , K 2019 , ' The structures underpinning vulnerability : Examining landscape-society interactions in a smallholder coffee agroforestry system ' , Environmental Research Letters , vol. 14 , no. 7 , 075006 . https://doi.org/10.1088/1748-9326/ab2280Test
سنة النشر: 2019
المجموعة: Discovery - University of Dundee Online Publications
مصطلحات موضوعية: coffee forest, El Nino, Ethiopia, smallholder, vulnerability, /dk/atira/pure/subjectarea/asjc/2100/2105, name=Renewable Energy, Sustainability and the Environment, /dk/atira/pure/subjectarea/asjc/2300/2300, name=General Environmental Science, /dk/atira/pure/subjectarea/asjc/2700/2739, name=Public Health, Environmental and Occupational Health
الوصف: Smallholder farmers dependent on rain-fed agriculture are particularly vulnerable to extreme climate events and, therefore, it is necessary to identify adaptive measures that would increase farmer resilience to these shocks. The management options in a low-input system, like forest coffee (Coffea arabica), are limited and there are several factors out of farmers' control driving their vulnerability to changing climatic conditions. These can relate to social structures and landscape factors, which can interact to reduce farmers' adaptive capacity, creating a state of contextual vulnerability. We explored the potential synergies of this interaction across elevation, patch area and shade management gradients for smallholder coffee farms around the UNESCO Yayu Coffee Forest Biosphere Reserve in Ethiopia before, during and immediately following the 2015/16 El Niño. We documented a dramatic collapse in coffee yields across all farms, resulting in coffee incomes 29.5% ±18.0% and 19.5% ±10.0% of 2014 incomes in 2015 and 2016, respectively. We identified farms at elevations between 1500 and 1600 m with canopy openness between 40% and 45% as being consistently low yielding over our study period. We found these farmers had the highest rates of income diversification and, therefore, were already exhibiting adaptive capacity. Farmers with the largest income losses were spatially concentrated between 1600 and 1700 m, located in larger patch areas with lower canopy openness. Farmers at this elevation have access to poor infrastructure, restrictions on shade management and reported higher dependence on income from coffee, indicating an interaction of biotic and social factors exacerbating their vulnerability. Unfortunately, due to a nationally declared state of emergency, we were unable to survey farmers on the adaptive measures they undertook; therefore, we are limited in assessing their resilience. However, we do show the importance of considering both biotically and socially-mediated influences for assessing smallholder ...
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
العلاقة: https://discovery.dundee.ac.uk/en/publications/febae437-24db-4d20-81da-41b3d2f60a60Test
DOI: 10.1088/1748-9326/ab2280
الإتاحة: https://doi.org/10.1088/1748-9326/ab2280Test
https://discovery.dundee.ac.uk/en/publications/febae437-24db-4d20-81da-41b3d2f60a60Test
https://discovery.dundee.ac.uk/ws/files/42131094/Final_Published_Version.pdfTest
http://www.scopus.com/inward/record.url?scp=85072041607&partnerID=8YFLogxKTest
حقوق: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.A6A4079B
قاعدة البيانات: BASE