An Ecological Footprint-Based Spatial Zoning Approach for Sustainable Metropolitan Agro-Food Systems
Based on research undertaken in Berlin, Milan, London, Ljubljana, Rotterdam and Nairobi, the EU FP7 Project ‘Food Planning and Innovation for Sustainable Metropolitan Regions’ (www.foodmetres.eu) has developed a string of assessment tools and food planning concepts that are especially geared towards the role of metropolitan regions as spatial-functional entities of sustainable food supply. Focusing on the example of the Rotterdam Metropolitan Region, this paper puts forward a spatial-analytical approach that combines an ecological footprint analysis with land use assessment and knowledge on the impacts of food chains on the social, environmental and economic dimensions of the agro-food sector. Drawing upon existing work, we have developed an approach to delineate Metropolitan Agro-Food Systems (MAS) as spatially explicit foodsheds. Taking the food demand of a city into consideration, the required amount and location of ‘local hectares’ of agricultural areas meeting these demands are identified as the starting point illustrating the challenge of feeding an urban population. Using the example of the Rotterdam region, we show how the von Thunen model can be adapted to a dynamic interpretation of the regional food supply potentials on the basis of local hectare calculations deriving from food consumption census data.
- Research Article
- 10.1080/00385417.1978.10640251
- Oct 1, 1978
- Soviet Geography
Von Thunen's classical model of agricultural location was published in the Soviet Union in Russian translation in 1926, a hundred years after its original publication in Germany, but was soon denounced as a bourgeois theory seeking to optimize location from the point of view of minimizing production costs or maximizing the profit of the entrepreneur. The view that the von Thunen model was not applicable to Soviet conditions was stated as late as 1966 in Vol. V of the Kratkaya geograficheskaya entsiklopediya [Short Geographical Encyclopedia], pp. 196, 525. A Moscow University agricultural geographer, in reassessing the von Thunen model, now points out that its objective of determining optimal production systems for a given set of physical (land quality) and economic (market) conditions is shared by anyone who seeks the most highly cost-effective form of agriculture in a particular setting.
- Research Article
1
- 10.1088/1755-1315/739/1/012012
- Apr 1, 2021
- IOP Conference Series: Earth and Environmental Science
One of the issues of environmental priority in Balikpapan City is the limited availability of raw water. Based on the problem, it is necessary to carry out a sustainability analysis to determine the status sustainability of clean water supply for Balikpapan city. The purpose of this research is to analyze the sustainability of clean water supply in Balikpapan City based on environmental, economic, social, infrastructure and technology dimensions, legal and institutional dimensions. The research location was in The Balikpapan City with a research time of six months. This research uses primary data and secondary data obtained through literature studies, stakeholder interviews, and field surveys. The technique of determining respondents used a proposive sampling technique. Sustainability analysis using the Rapid Appraisal of the Status (RAP) technique that consists of Multi-Dimensional Scaling (MDS) analysis, Monte Carlo analysis, and Leverage analysis. The results showed that the provision of clean water in the city of Balikpapan is relatively sustainable in environmental dimensions (51.48), economic dimensions (63.49), infrastructure and technology dimensions (50.57), and legal and institutional dimensions (56.14). but relatively unsustainable on the social dimension (47.69). Besides that, it is known five attributes that are most sensitive or influence the sustainability of water supply in Balikpapan city. They are water conservation areas, availability of paying for water usage, community participation in reforestation programs, water treatment plant conditions, cooperation between stakeholders
- Single Book
131
- 10.1596/1813-9450-4117
- Feb 1, 2007
This paper presents a framework for analyzing tropical deforestation and reforestation using the von Thunen model as its starting point: land is allocated to the use which yields the highest rent, and the rents of various land uses are determined by location. Forest cover change therefore becomes a question of changes in rent of forest versus non-forest use. While this is a simple and powerful starting point, more intriguing issues arise when this is applied to analyze real cases. An initial shift in the rent of one particular land use generates feedbacks which affect the rent of all land uses. For example, a new technology in extensive agriculture should make this land use more profitable and lead to more forest clearing, but general equilibrium effects (changes in prices and local wages) can modify or even reverse this conclusion. Another issue is how a policy change or a shift in broader market, technological, and institutional forces will affect various land use rents. The paper deals with three such areas: technological progress in agriculture, land tenure regimes, and community forest management. The second part of the paper links the von Thunen framework to the forest transition theory. The forest transition theory describes a sequence over time where a forested region goes through a period of deforestation before the forest cover eventually stabilizes and starts to increase. This sequence can be seen as a systematic pattern of change in the agricultural and forest land rents over time. Increasing agricultural rent leads to high rates of deforestation. The slow-down of deforestation and eventual reforestation is due to lower agricultural rents (the economic development path) and higher forest rent (the forest scarcity path). Various forces leading to these changes are discussed and supported by empirical evidence from different tropical regions
- Research Article
3
- 10.3390/w14223731
- Nov 17, 2022
- Water
Flooding occurrence is one of the most common phenomena that impact urban areas, and this intensifies during heavy rainfall periods. Knowing the areas with the greatest vulnerability is of paramount importance as it allows mitigating actions to be implemented in order to minimize the generated impacts. In this context, this study aimed to use Geographic Information System (GIS) tools to identify the areas with greater flooding vulnerability in Espírito Santo state, Brazil. The study was based on the following methodological steps: (1) a Digital Elevation Model (DEM) acquisition and watersheds delimitation; (2) maximum and accumulated rainfall intensity calculations for the three studied periods using meteorological data; (3) a land use and occupation map reclassification regarding flood vulnerability and fuzzy logic application; (4) an application of Euclidean distance and fuzzy logic in hydrography and water mass vector variables; (5) a flood vulnerability model generation. Based on the found results, it was observed that the metropolitan and coastal regions presented as greater flood vulnerability areas during the dry season, as in these regions, almost all of the 9.18% of the state’s area was classified as highly vulnerable, while during rainy season, the most vulnerable areas were concentrated in Caparaó and in the coastal and immigration and metropolitan regions, as in these regions, almost all of the 12.72% of the state’s area was classified as highly vulnerable. In general, by annually distributing the rainfall rates, a greater flood vulnerability was observed in the metropolitan and coastal and immigration regions, as in these areas, almost all of the 7.72% of the state’s area was classified as highly vulnerable. According to the study, Espírito Santo state was mostly classified as a low (29.15%) and medium (28.06%) flood vulnerability area considering the annual period, while its metropolitan region has a very high flood vulnerability risk. Finally, GIS modeling is important to assist in decision making regarding public management and the employed methodology presents worldwide application potential.
- Research Article
11
- 10.1080/01944363.2021.1911673
- Jun 25, 2021
- Journal of the American Planning Association
Problem, research strategy, and findings Many fast-growing metropolitan regions face a housing affordability crisis that necessitates cities change their land use policies to address this problem. How do cities in metropolitan regions change their land use policies to equitably address the region’s housing needs? We focused on 180 cities in the Southern California region, which has a shortage of housing for all income groups and a severe shortage of affordable housing. We first examined the region-wide distribution of land uses and evaluated whether land use portfolios of cities are associated with their populations’ socioeconomic characteristics using cluster analysis and one-way analysis of variance. Next, we examined land use change by cities and measured the “weakening” (a reduction in cities’ share of residential land use for multifamily housing from 2008 to 2016) and “exclusiveness” (cities’ share of residential land use for single-family housing in 2016) of their land use portfolios. We revealed inequities in the region-wide distribution of multifamily land use, found an association between land use portfolios of cities and their populations’ socioeconomic characteristics, and thus conclude that land use change by cities inequitably addresses the region’s housing needs. We did not, however, examine the effects of land use change on housing production or affordability, which could provide further insights. Takeaway for practice Our findings suggest that a) California’s state government should require cities to reform their land use policies to mitigate the region-wide inequities in the distribution of multifamily housing and to equitably address the housing affordability crisis and b) researchers could similarly evaluate land use portfolios of cities in other metropolitan regions to suggest how to equitably address the region’s housing needs.
- Research Article
3
- 10.1016/j.jtrangeo.2018.10.008
- Oct 25, 2018
- Journal of Transport Geography
Urban population density and freeways in North America: A Re-assessment
- Research Article
87
- 10.3389/fsufs.2022.1053031
- Nov 7, 2022
- Frontiers in Sustainable Food Systems
Food security in a just energy transition is a growing debate about designing sustainable food secure networks worldwide. Energy transition, land-use change, and food security are crucial factors for food security and provision. The increased demand for food products and customer preferences regarding food safety provide various issues for the current agriculture food supply chain (AFSC). Along with rising sustainability concerns, strict government regulation, food security, and traceability concerns compel managers, business houses, and practitioners working in AFSC to adopt new tools, techniques, and methodologies to model current food supply chain problems. Thus, in turn, design the food logistics network for food security. Hence, this study investigates the core determinants of food security and supply in Egypt, Morocco, Tunisia, and Lebanon over the period of 2010–2019. In order to estimate the objectives of the study, we employ the fully modified ordinary least square (FMOLS) and dynamic ordinary least squares estimators (DOLS) to draw the study findings. However, the estimated results show a negative association of land use with food security and supply. Likewise, energy transition, gross domestic product, and agricultural value added (AVA) contribute to the food security supply. In contrast, urbanization's negative but insignificant contribution to the food supply in selected economies exists. Besides, another core objective of the study is to investigate the moderate role of the energy transition on the gross domestic product, agriculture sector, and land use and find the significant contribution to the food supply. However, the current study also tries forecasting for the next 10 years and employs the impulse response function (IRF) and variance decomposition analysis (VDA). Congruently, this study uses the pairwise panel causality test and finds exciting outcomes. The COVID-19 crisis has posed challenges such as energy consumption and food security issues. On behalf of the results, the current study proposes imperative policies to investigate the desired level of food supply. The findings provide valuable insights for experts, policymakers, and officials to take practical measures for energy use and food security challenges.
- Book Chapter
3
- 10.1007/978-3-319-14699-7_12
- Jan 1, 2015
Stable societies depend upon sustainable food supplies for their very existence. However, very few food sources or food supply chains have been independently certified as truly sustainable. As world food demand goes up and supply goes down, sustainable food supply is a myth for both the poor and the rich. Instead, there is widespread ignorance regarding the dangers of the present ‘profit-only’ driven world food supply system. These dangers are concealed behind a confusing array of mostly unreliable and misleading green claims and green labels. In the transition to a sustainable future, there is an urgent need for world food business to change from a competitive corporate paradigm to a sustainable stewardship paradigm. There is also an urgent need for an independent, incorruptible, and universal green label that can authenticate, on one consistent and reliable platform, all types of truly sustainable foods and food supply chains world-wide. This chapter will discuss these issues, how paradigm change might occur, and how the brand family of Green Tick® ‘Sustainable’, ‘Natural’, ‘Organic’, ‘Carbon Neutral’, ‘Carbon Negative’, ‘GE-Free’ and ‘Fair Trader’ meet the need for an incorruptible and universal ‘green’ label for food and food supply chains.
- Research Article
80
- 10.1016/j.jag.2014.09.009
- Oct 25, 2014
- International Journal of Applied Earth Observation and Geoinformation
An assessment of a collaborative mapping approach for exploring land use patterns for several European metropolises
- Research Article
86
- 10.3390/ijerph121114192
- Nov 1, 2015
- International Journal of Environmental Research and Public Health
Land use and land cover change is driven by multiple influential factors from environmental and social dimensions in a land system. Land use practices of human decision-makers modify the landscape of the land system, possibly leading to landscape fragmentation, biodiversity loss, or environmental pollution—severe environmental or ecological impacts. While landscape-level ecological risk assessment supports the evaluation of these impacts, investigations on how these ecological risks induced by land use practices change over space and time in response to alternative policy intervention remain inadequate. In this article, we conducted spatially explicit landscape ecological risk analysis in Ezhou City, China. Our study area is a national ecologically representative region experiencing drastic land use and land cover change, and is regulated by multiple policies represented by farmland protection, ecological conservation, and urban development. We employed landscape metrics to consider the influence of potential landscape-level disturbance for the evaluation of landscape ecological risks. Using spatiotemporal simulation, we designed scenarios to examine spatiotemporal patterns in landscape ecological risks in response to policy intervention. Our study demonstrated that spatially explicit landscape ecological risk analysis combined with simulation-driven scenario analysis is of particular importance for guiding the sustainable development of ecologically vulnerable land systems.
- Research Article
3
- 10.1155/2022/6726662
- Sep 12, 2022
- Computational Intelligence and Neuroscience
The food supply chain is one of the most sensitive supply chains as it is directly related to the health of humans and society. Therefore, this study aims to evaluate the components of the sustainable supply chain in the food industry. For this purpose, in the first step, several studies and research backgrounds have been conducted by researchers to identify the effective index on sustainability in the food and agricultural supply chain. After reviewing the literature, general indicators of sustainability that affect the agricultural supply chain are specified. Next, by using the fuzzy DEMATEL method, the effectiveness and efficiency of these criteria in three economic, environmental, and social dimensions have been assessed. The results show that in the economic dimension, the use of high technology in the production and the presentation of various citrus forms by using intermediate and conversion industries is the most effective. Criteria for purchasing and using livestock manure instead of using chemical fertilizers have a very high level of effectiveness. In the environmental dimension, reducing or eliminating waste production using recyclable and environmentally friendly materials has the most significant impact. In the social dimension, the positive mental image of customers has a more positive approach to manufacturers who use a sustainable supply chain and has the most impact. The main achievement of this study is that the most important factor in sustainability is the citrus quality control of the agricultural supply chain.
- Research Article
1
- 10.5075/epfl-thesis-7716
- Jan 1, 2017
In the context of a growing world population, the fundamental need for foodstuff makes a sustainable management of the food supply an imperative. Sustainability issues in the food supply chain range from responsible use of limited resources, safe and secure food supply, minimizing food waste, while maintaining economic interests of each player. A novel ap- proach is presented integrating Processing Time, Cost and Operational Risk (PTCORk1) in one quantitative model. It allows for designing Pareto optimal monitoring systems. In a com- parative study, exact and (meta) heuristic methods are compared for best performance. The study with real-world data from an international food company is based on a common and widely consumed foodstuff with typical sustainable food supply chain challenges. Results are thus generalizable to other value chains in the food industry. It provides novel understanding of the seeming contradiction between Processing Time & Cost (PTC) and Operational Risk (ORk). On the system level, the efficient frontier reveals a quantified non-linear relationship. Within the monitoring system the relative contribution of each monitoring activity to the objective function shows a saturation effect enabling practicioners to identify critical monitor- ing activities and engage in step-by-step optimization. Evidence is presented that favorable solutions reveal potential for equidistribution of operational risks and time- and cost-efficient risk allocation. The advantages of a multi-objective approach are compared to either single objective approach. Away from conflicting formulations of minimal operational risk, process- ing time and cost, the approach fosters a more differentiated and quantifiable understanding of the relationship of processing time, cost and operational risk enabeling decision makes to formulate advantageous trade-offs. Optimized scenarios are tested for robustness and potential multiplicatory effects by numerical simulation of a connected dynamic supply chain environment. The approach provides valuable insights for practitioners and enables specific actions for a sustainable and competitive food supply.
- Dissertation
- 10.53846/goediss-8383
- Feb 21, 2022
Urbanisation, Land Use and Soil Resource: Spatio-Temporal Analyses of Trends and Environmental Effects in Two Metropolitan Regions of Ghana (West Africa)
- Research Article
5
- 10.2478/geosc-2021-0001
- Jun 1, 2021
- GeoScape
The urban expansion from the city center to the suburb and beyond is indicated by Shannon entropy, a robust and versatile measure of sprawl. However, the metropolitan regionwide entropy masks the morphology of land cover and land use consequential to urban expansion within the city-region. To surmount the limitation, we focus on the block-group, which is a US census defined socio-spatial unit that identifies the metropolitan region’s development pattern structurally, forming tracts that comprise neighborhoods. The concentration and dispersion of land use and land cover by block-group reveals a North American metropolitan region’s commonly known but rarely measured spatial structure of its urban and suburban sprawl. We use parcel data from county assessor of property (GIS) and land cover pixel data from the National Land Cover Data (NLCD) to compute block-group land-use and land-cover entropy. The change in block group entropy over a decade indicates whether the city- region’s land use and land cover transition to a concentrated or dispersed pattern. Furthermore, we test a hypothesis that blight correlates with sprawl. Blight and sprawl are among the key factors that plague the metropolitan region. We determine the correlations with household income as well as (block group) distance from the city center. It turns out, blight is among the universally held distance-decay phenomena. The share of the block group’s blighted properties decays (nonlinearly) with distance from the city center. Highlights for public administration, management and planning: • The metropolitan region’s outward growth is highlighted by mapping the changing morphology of the block group within the city-region. • The block group entropy is computed with land use (parcel) and land cover (pixel) data. • The block group entropy change indicates the pattern of the land use and land cover transition with concentration or dispersion. • We test the hypothesis that blight correlates with sprawl with statistical models. • The block group’s blighted properties decrease (nonlinearly) with distance from the city center.
- Research Article
83
- 10.1007/s10551-015-2597-1
- Mar 7, 2015
- Journal of Business Ethics
Sustainability reporting guidelines developed by Global Reporting Initiative (GRI) provide a systematic approach for the companies to report their performance on social, environmental, and economic dimensions of sustainability. This study compared the sustainability reports of leading Indian public and private sector companies. Reports were analyzed based on GRI guidelines toward their reporting on sustainability. A numerical score from 0 to 3 was assigned for each of the 84 performance indicators (9, 30, and 45 indicators for economic, environment, and social dimensions, respectively) of the GRI 2011 guidelines based on inclusiveness of sustainability report. The analysis showed that reporting on economic dimension was comparatively better as compared to social and environmental dimensions. Sampled companies did not show much difference in their reporting practices on economic performances. However, considerable difference was observed in their reporting practices on environmental and social dimensions. Reporting practices of Tata Steel were better in all dimensions of sustainability and emerged as a responsible company on sustainability reporting.
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