Exploratory landscape metrics for agricultural sustainability

Socioeconomic growth and urban change have been an increasing concern for decision makers in recent decades. The monitoring, mapping, and analysis of agricultural land use change, especially in areas where urban change has been high, is crucial. The collision between traditional economic activities related to agriculture in tourist areas such as the Algarve and current demand for tourism infrastructures in urban regions is also leading to loss of economic activity. This article uses a combined geographical information system approach with CORINE land cover datasets to perform a Shannon’s diversity index quantifying changes in agricultural areas. The article then expands on the nature of the agricultural changes observed, and offers a multi-temporal assessment by means of landscape metrics in order to understand the shifting land use patterns for the Algarve in land use planning and regional economic equilibrium: a) forest regions become transformed into agricultural areas and agricultural areas become urban; b) areas that are initially agricultural become scattered residential regions created by economic investors; and c) agricultural land use changes have a cyclical nature in which—in the course of the economic recession—such dynamic effects brought about a decrease in tourism and focus on traditional sectors

Gravitational models and spatial foresight: from agricultural policy to agricultural loss

This paper discusses the issue and proposes a spatial land-cover accounting methodology to assess the impacts and changes occurred in the rural world, Portugal serving as a case study. So, furthermore, this paper aims to respond from a spatial perspective to the following questions: (i) Which are the most significant changes in Portuguese agricultural systems and where did they occur? (ii) Do municipalities in Portugal show dense agricultural regions that were lost, and if so, are they related to urban regions? The methods apply gravitational models to identify the compactness of agricultural areas within the different regions and detect the most significant land use variations. By comparative analyses of the different agricultural land classes, the variations in agricultural land use changes were detected. Also, the comparison of these values in a best-fit with Euclidean distances of artificial land-use questions the consequences of land-use change in Portugal over the last two decades. Finally, this paper demonstrates that the existence of spatial inventories such as the CORINE Land Cover, currently in its third assessment, provides useful information for the assessment of agricultural land-use dynamics

Spatial databases for decision support in agriculture

The Portuguese agriculture has experienced phases of change and its adaptation to the Common Agriculture Policy. Although serious problems have subsisted as structural difficulties in spite of the many public aids, it seems that, slowly, agricultural productivity increased, integrating some technological progress. However, other expectations related to food auto sufficiency or a more balanced equilibrium in the food trade were however, not achieved. For that study, after having desegregated possible determinants of growth for the agricultural sector, the econometric results showed a stationary tendency for all the vegetal production variables; contrarily, some of the detected growth factors were correlated to animal production, particularly to pork, poultry and milk production. Beside, the classical econometrics, new methods could allow us to a more in depth analysis of the state in the Portuguese agricultural activities. Our research uses Geographic Information Systems to those prompt spatial databases for monitoring land use change. This short essay opens prospects for a much better understanding of rurality when all those factors contributing to its sustainability, much broader than agricultural activities will be evaluated under the methods earlier described

Regional change in the Algarve: A Geographic Information System approach

Thesis submitted to the Instituto Superior de Estatística e Gestão de Informação da Universidade Nova de Lisboa in partial fulfillment of the requirements for the Degree of Doctor of Philosophy in Information Management – Geographic Information SystemsThe debate on sustainable development has led to an increasing interest covering the effects of the human beings on the natural environment. The development of information and communication technologies (ICT) allowed a better analysis of the drivers of environmental change. With the increase of ICT, especially related to monitoring of sustainable choices, methodologies for analysis of regional and local impact have made a significant contribution to the development of regional strategies at a policy level, but also contributed to the development of regional sciences. One of the main issues has been addressed by the analysis of carrying capacity and availability of scarce resources, resulting from a growing demand, leading to loss of vulnerable natural and historical areas. Much of the work of regional sciences has had a direct relation to space, due to the nature of socio-economic data. This thesis offers an integrated spatial assessment of the results of regional change brought by socio-economic growth. The Algarve region in Portugal is used as a laboratory to understand the current pressures and attempts to provide a framework for the future of socio-economic growth in the region and a systematic analysis of current pressures. While urban sprawl due to increasing tourist activity is an increasing concern, spatial analysis is used as an insightful tool for foresight of future change. Having considered that urban growth is a direct consequence of economic growth our research addresses the consequences of urban sprawl in the coastal region of the Algarve. By building up predictive tools for complex spatial system analysis, cellular automata are used to forecast future urban expansion in the region. The relationship of tourism to urban change is measured to assess what are true costs of tourism for the region. Tourism is then analysed within the duality of socio-economic pressures defining weak and strong sustainability. An integrated strategy considering the historical heritage of the Algarve is offered as a more interesting alternative to the current exploration of the marine environment. Thus, the dissertation expands on the usage of spatial analysis as tools to emphasize the importance of monitoring regional change in coastal environments from a socio-economic perspective. Geographic Information Systems are expressed as ubiquitous systems with unique properties to measure change and to offer relevant solutions for better decision making at local and regional level. An important asset of those tools in the context of information management is further explored in the capabilities of comparing results through spatial data manipulation and visualization of alternative futures for regional development

Why a multidisciplinary agenda for Southern Europe?

Since the process of southern Europe's integration in the European Union, the Mediterranean region has seen a more considerable gap between central and northern European countries and its southern European counterpart. Thus, in a European context of social cohesion, it becomes necessary to better understand Southern Europe, without escaping to the so required perception of the complexity of Mediterranean culture. As a significant player along history, Southern Europe established a platform of diversity and freedom consistently, bringing peace between different historic-cultural traditions. Moreover, the southern frontier of Europe to Africa and Asia has become a crucial determinant in the current times of change where ruptures in the political systems are also defining new patterns of regional migration.  Meanwhile, the integration of Italy, Portugal, Spain, and Greece in the European Union reinforced an essential search for stability, altering to some extent the political and economic predispositions of these countries. This has been followed by somewhat rigid institutions, that remain, to a certain extent, an obstacle to sustainable development, and justify a broader assessment of the potential of policy and governance intervention. A Mediterranean region where a context of stagnation or increasing poverty and migration is leading most impoverished areas to a deleterious deprivation of human resources and capital. In such cases towards conflict, Southern European countries may represent a bridging alternative and an exemplar representation of democracy. A co-joint positive Mediterranean agenda is necessary, where migration patterns become a substantial factor in the future of all the frontier countries: Italy and Greece, Spain, and Portugal. This special issue collects recent insights in socio-economic developments in Mediterranean countries in order to further a future agenda for Southern Europe

Of cells and cities: a comparative Econometric and Cellular Automata approach to Urban Growth Modeling

This paper presents a comparative assessment of two distinct urban growth modeling approaches. The first urban model uses a traditional Cellular Automata methodology, based on Markov transition chains to prospect probabilities of future urban change. Drawing forth from non-linear cell dynamics, a multi-criteria evaluation of known variables prospects the weights of variables related to urban planning (road net- works, slope and proximity to urban areas). The latter model, frames a novel approach to urban growth modeling using a linear Logit model (LLM) which can account for region specific variables and path depen- dency of urban growth. Hence, the drivers and constraints for both models are used similarly and the same study area is assessed. Both models are projected in the segment of Faro-Olh ̃ao for 2006 and a comparative assessment to ground truth is held. The calculation of Cohenââ¬â¢s Kappa for both projections in 2006 allows for an assessmentof both models. This instrumental approach illuminates the differ- ences between the traditional model and the new type of urban growth model which is used. Both models behave quite differently: While the Markov Cellular Automata model brings an over classification of ur- ban growth, the LLM responds in the underestimation of urban sprawl for the same period. Both excelled with a Kappa calculation of over 89%, and showed to have fairly good estimations for the study area. One may conclude that the Markov CA Model permits a riper un- derstanding of urban growth, but fails to analyze urban sprawl. The LLM model shares interesting results within the possibility of identi- fying urban sprawl patterns, and is therefore an interesting solution for some locations. Another advantage of the LLM is directly linked to the possibility of establishing probability for urban growth. Thus, while the traditional methodology shared better results, LLM can be also an interesting estimate for urban patterns from an econometric perspective. Hence further research is needed in exploring the utility of spatial econometric approaches to urban growth.

Theoretical foundations in support of small and medium towns

This theoretical review aims to create a comprehensive and systematic analysis based on previously published literature explaining how contemporary technological developments may promote new paths for small and medium-sized towns (SMTs) and their networking systems. Much has been said concerning the capacity of towns to absorb strategic knowledge, which is highly dependent on local governance systems. In this paper, five levels of multidisciplinary approaches will be addressed so as to pinpoint the theoretical grounds for the promotion and advocacy of small and medium-sized towns (SMTs) as major drivers of regional sustainability: agglomeration advantages and networking efficiencies-representing strict economic accounting of cost and benefits; clustering in a context of online environments, and its extension to open networking systems; sustainable innovation processes for SMTs, technology, and knowledge transfer in open innovation systems-both settings for discussions within the framing of new technological developments and artificial intelligence; knowledge and new technological developments with local spillovers-to be enhanced employing new educational programs and learning diffusion at advanced levels; the social functions of small and medium-sized towns-to be addressed in the areas of sociology, architecture, and planning.info:eu-repo/semantics/publishedVersio

Of cells and cities: a comparative Econometric and Cellular Automata approach to Urban Growth Modeling

This paper presents a comparative assessment of two distinct urban growth modeling approaches. The first urban model uses a traditional Cellular Automata methodology, based on Markov transition chains to prospect probabilities of future urban change. Drawing forth from non-linear cell dynamics, a multi-criteria evaluation of known variables prospects the weights of variables related to urban planning (road net- works, slope and proximity to urban areas). The latter model, frames a novel approach to urban growth modeling using a linear Logit model (LLM) which can account for region specific variables and path depen- dency of urban growth. Hence, the drivers and constraints for both models are used similarly and the same study area is assessed. Both models are projected in the segment of Faro-Olh ̃ao for 2006 and a comparative assessment to ground truth is held. The calculation of Cohen's Kappa for both projections in 2006 allows for an assessmentof both models. This instrumental approach illuminates the differ- ences between the traditional model and the new type of urban growth model which is used. Both models behave quite differently: While the Markov Cellular Automata model brings an over classification of ur- ban growth, the LLM responds in the underestimation of urban sprawl for the same period. Both excelled with a Kappa calculation of over 89%, and showed to have fairly good estimations for the study area. One may conclude that the Markov CA Model permits a riper un- derstanding of urban growth, but fails to analyze urban sprawl. The LLM model shares interesting results within the possibility of identi- fying urban sprawl patterns, and is therefore an interesting solution for some locations. Another advantage of the LLM is directly linked to the possibility of establishing probability for urban growth. Thus, while the traditional methodology shared better results, LLM can be also an interesting estimate for urban patterns from an econometric perspective. Hence further research is needed in exploring the utility of spatial econometric approaches to urban growth

How corporations deal with reporting sustainability: Assessment using the multicriteria logistic biplot approach

This paper suggests a new methodology capable of accessing in detail the contribution of companies to countries' sustainability related to economic performance. The concept of sustainability has been brought up in several debates, leading to a clearer understanding of its progress in recent decades. The most adequate indicators to achieve a unique value to define sustainability have been identified. However, specific behaviors of economic agents such as exist in particularly large organizations, have rarely been exposed and evaluated regarding their positive or negative contribution to the increase of sustainability throughout the world. This paper proposes an integrated approach incorporating an evaluation of the positive and negative contributions to sustainability by means of a logistic biplot application. This allows the creation of a summarized index that combines all single sustainability indicators. These synthetic indices allow the positioning of each of the companies in a geometric representation for an original exploration of the sustainability paradigm. The supplied method permits accessing and evaluating information concerning specific behaviors of economic agents such as big companies. In our paper, we have followed the engagements towards sustainability of big corporations, individually or as groups, across the different activity sectors in Portugal and Spain

A Multi-Scenario Forecast of Urban Change: A Study on Urban Growth in the Algarve

The Algarve region in Portugal is often considered as one of the most appealing regions for tourism in the country. Its attractive location and moderate climate have since the mid-1960s brought increasing economic prosperity. As a result of the development of mass tourism, available land-use resources were widely exploited to create an integrated tourist industry. This region has shown an increasing loss of ecosystems resulting from the expansion of urban areas. This has also been accompanied by a significant abandonment of rural areas and hinterlands, leading to loss of agriculture and other rural activities. Clearly, urban growth needs considerable attention in the context of sustainable development, as often peri-urban areas with fragile ecosystems are becoming increasingly vulnerable. This paper aims to develop and apply key tools to quantify the changes of land use and how this affects the regional spatial scope by using multi-temporal inventorying an d accounting of land-use change matrices. Using Cellular Automata and a combined interpretation of CORINE Land Cover Data, it converges into a qualitative to quantitative interpretation of land use change by means of Multi-Criteria Evaluation. Finally, our analysis to identify the scenario with the best fit, based on the evolution of the actual 2006 land cover, enabled us to build a future urban growth model for 2020 which was quantitatively assessed. The outcome suggests a picture of continuing growth for the region of the Algarve within the framework of current policies and regressive spatial trends