The Spatial Dimension of Agriculture and Food Security
| Jazyk: | angličtina |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
kleine boeren
agribusiness markten spatial planning ruimtelijke planning spatially-explicit policy integratie van agro-ruimtelijk beleid food security Remote sensing GIS sustainable agri-food systems agribusiness markets agri-spatial policy integration ruimtelijk expliciet beleid GIS-gebaseerde indicatoren smallholder farmers voedselveiligheid GIS-based indicators Teledetectie duurzame agrovoedingssystemen |
| Popis: | Addressing the intertwined challenges of low agricultural productivity, food insecurity and non-market participation by poor smallholder households is a complex undertaking that would require an integrated multidisciplinary approach and spatially integrated agriculture policies. However, many of the agricultural policies in LMICs are not usually sufficiently spatially integrated and are deficient in multi-level, multi-sectoral, and multi-actor integration. With the increasing embedding of agricultural production and food insecurity challenges in local spatial complexity, and, given the multidimensional nature of food security, agriculture policies should be spatially sensitive to the spatial variation of food insecurity and spatial heterogeneity of territorial resources. By mapping the spatial patterns of households’ food inequalities, policy planners can better understand the local causation of low agriculture productivity and food insecurity. This can enable policymakers and relevant stakeholders to spatially target deprived areas and develop appropriate, place-based intervention strategies and policies. Using Geographic Information Systems (GIS) and remote sensing technologies to map local spatial patterns of food insecurity offers important insights into the spatial disparities of the territorial dimension of food security and causes of agriculture productivity and poverty. With increasing recognition that place-specific features and territorial specificities strongly influence agriculture activities and food security outcomes, there is a need for place-specific policies and spatial-based interventions that are grounded in the local reality and informed by the local needs of smallholders. However, traditionally based “top-down” and sector-specific agriculture policies often designed at the national level, do not sufficiently take into account the spatial heterogeneity of territories. Thus, they would not offer sufficient conditions to address the multi-dimensional causes of low agriculture productivity and food insecurity. This thesis presents a combination of GIS-based indicators and spatially explicit methodologies to offer a more viable diagnostic tool for mapping local spatial interactions and increases the effectiveness of unearthing deep-rooted causes of food insecurity. This provides policymakers and local governments with an evidence-based approach in the application of remedy policies for prioritization of resources, spatial targeting of resources, and the design of location-specific interventions in improving the sustainability of smallholder systems. Well-articulated and coordinated spatial targeted development policies that tap into the resource heterogeneity of territories with geographic specificities while enhancing the diversity of particular regions would create the prerequisites required to develop local and sustainable smallholder systems while enhancing their sustainability. With increasing global food insecurity, poverty, climate change, and global food supply chains crisis brought about by the covid-19 pandemic, and the Russia-Ukraine war, there is a need for LMICs to shift their dependency on globalized agri-food value chains and instead focus more on the development of localized agribusiness value chains. In this regard, the development of local smallholder agribusiness value chains should become an urgent public policy priority, especially in LMICs that suffer from a perpetual food crisis. Addressing complex food security problems will call for the adoption of transdisciplinary, farmers-led, and spatially-explicit approaches that integrate a diversity of local factors, societal actors, and institutions in knowledge co-sharing and co-creation to find lasting solutions to complex food production problems. Now and in the future, GIS and RS technologies will even become more important in the development of spatially integrated agriculture policies to improve sustainable agricultural practices. In addition, the spatialization of agriculture policies will go a long way in supporting spatially integrated solutions to complex problems facing smallholder agricultural systems. |
| Databáze: | OpenAIRE |
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