A dataset of the food self-sufficiency assessment of Bristol and Vienna based on a foodshed approach.
A dataset of the food self-sufficiency assessment of Bristol and Vienna based on a foodshed approach.
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DOI：
10.1016/j.dib.2021.107434
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发表时间：
2021-10
期刊：
影响因子：
1.2
通讯作者：
Piorr A
中科院分区：
文献类型：
--
作者：
Vicente Vicente JL;Doernberg A;Zasada I;Piorr A
布里斯托和维也纳的粮食自给自足评估是通过在各自拟议的粮食棚中应用大都市粮食棚和自给自足情景模型进行的。就维也纳而言，选择了25个周边地区（即下萨克森州），而就布里斯托而言，则包括了城市周边的5个地区。该模型以消费模式以及在拟议的粮食棚农业的可用面积作为主要输入。中间计算是利用人口和产量数据进行的。应用MFSS模型后的输出是：（1）面积和半径方面的面积需求（即满足人口饮食需求所需的面积），以及（2）地区一级和整个粮食棚面积的潜在粮食自给率。在结合四个变量后，显示了12种情景的产出：（1）生产系统（传统与有机），（2）饮食变化（家庭与当前饮食），（3）减少粮食损失和浪费，以及（4）2015-2050年人口增长。应用GIS软件后，将MFSS模型的分析输出转换为空间数据。虽然关于输入的一些支持信息以空间方式显示，但空间输出显示在共同提交的出版物中，以及此处显示的数据集摘要。这些数据可用于制定两个城市地区的粮食政策，以及测试特定政策是否可行。在制定或评估这两个城市的粮食政策时，这些数据可能对决策者和治理行为体（如粮食政策委员会）特别有用。这些数据也可供其他城市的决策者用于制定粮食棚评估。此外，其他利益攸关方（如教育、非政府组织）可能会利用这些数据来提高人们对饮食模式对食物土地足迹影响的认识。
The food self-sufficiency assessment of Bristol and Vienna was developed by applying the Metropolitan Foodshed and Self-sufficiency scenario (MFSS) model in the proposed respective foodsheds. In the case of Vienna 25 surrounding districts (i.e. Niederösterreich region) were selected, whereas for Bristol 5 districts surrounding the city were included. The model takes the consumption patterns as well as the available area for agriculture in the proposed foodsheds as the main inputs. Intermediate calculations are developed using data on population and yields. The outputs after applying the MFSS model are: (1) the area demand (i.e. surface needed to meet the population´s dietary requirements) in terms of surface and radius, and (2) the potential food self-sufficiency, at district level and for the whole foodshed area. The outputs are shown for 12 scenarios resulting after combining four variables: (1) production system (conventional vs organic), (2) dietary shifts (domestic vs current diet), (3) reducing food losses and waste, and (4) population growth 2015–2050. The analytical outputs from the MFSS model are converted in spatial data after applying GIS software. Whereas some of the supporting information on the inputs are shown spatially, the spatial outputs are shown in the co-submitted publication, as well as a summary of the datasets shown here. These data can be used to develop food policies in both city-regions as well as to test whether a specific policy is feasible. The data might be especially useful for policymakers and governance actors (e.g. food policy councils) when developing or assessing the food policies for both cities. The data can be used also by policymakers in other cities developing foodshed assessments. Furthermore, other stakeholders (e.g. education, NGOs) might use the data to increase the awareness of the impact of dietary patterns on the food land footprint.
影响因子：
6
作者：
Vicente-Vicente, Jose Luis;Doernberg, Alexandra;Piorr, Annette
通讯作者：
Piorr, Annette