Hobby Farms and British Columbia’s Agricultural Land Reserve

Agricultural land protection near the urban-rural fringe is a goal of many jurisdictions, including British Columbia, Canada, which uses a provincial-wide zoning scheme to prevent subdivisions and non-agricultural uses of the land. Preferential taxes are also used to encourage agricultural use of the land. Small scale hobby farmers are present at the urban fringe near Victoria (the capital), both inside and outside of the Agricultural Land Reserve (ALR). The goal of this paper is to investigate whether hobby farms create problems for agricultural land preservation. We make use of a GIS (geographic information system) model to construct detailed spatial variables and analyse our parcel-level data set using an hedonic pricing model and a limited dependent variable model. The results show that hobby farmers tend to select small parcels that are near open space and relatively close to the city and they tend to support horses and other livestock. In terms of price, farmland is worth more per ha the smaller the parcel is and the closer it is to the city. In general farmland is worth more when it is less fragmented but this appears to be reversed for hobby farms – indicating that hobby farmers may be better adapted to surviving in the urban fringe than conventional farmers. The conclusions drawn from the results in this paper would likely apply to other jurisdictions which seek to protect agricultural land in the urban fringe.Hobby farmers, Agricultural Land Reserve, Geographical Information System, urban-rural fringe, zoning systems, farmland fragmentation

Modelling policies for urban sustainability

The objective of the EU research project PROPOLIS (Planning and Research of Policies for Land Use and Transport for Increasing Urban Sustainability) is to assess urban strategies and to demonstrate their long-term effect in European cities. To reach this goal, a comprehensive framework of methodologies including integrated land use, transport and environmental modelling as well as indicator, evaluation and presentation systems have been developed. Sustainable development is viewed as comprising the environmental, socio-cultural and economic dimension. About thirty key indicators have been defined to measure the three dimensions of sustainability, such as air pollution, consumption of natural resources, quality of open space, population exposure to air pollution and noise, equity and opportunities and economic benefits from transport and land use. Indicator values are derived from state-of-the-art urban land use and transport models. A number of additional modules, including a justice evaluation module, an economic evaluation module and a GIS-based raster module, have been developed and integrated to provide further indicator values. Both multicriteria and cost-benefit analysis methods are used to consistently evaluate the impact of the policies. The environmental and social dimensions of sustainability are measured using multicriteria analysis for the evaluation of the indicators, whereas cost-benefit analysis is used for the economic dimension. The modelling and evaluation system is currently being implemented in seven European urban agglomerations: Bilbao (Spain), Brussels (Belgium), Dortmund (Germany), Helsinki (Finland), Inverness (Scotland), Naples (Italy) and Vicenza (Italy). A large number of policies will be tested with the modelling and evaluation system in the seven urban regions. Policies to be investigated are land use policies, transport infrastructure policies, transport regulation and pricing policies and combinations of these. Besides a common policy set for all seven urban regions, city-specific local policies will be assessed as well. The first part of the paper will introduce the methodology and the modelling system developed. The second part will present first results of the policy testing and evaluation. The paper will conclude with initial conclusions on successful strategies to enhance the long-term sustainability of urban regions.

Fractal Location and Anomalous Diffusion Dynamics for Oil Wells from the KY Geological Survey

Utilizing data available from the Kentucky Geonet (KYGeonet.ky.gov) the fossil fuel mining locations created by the Kentucky Geological Survey geo-locating oil and gas wells are mapped using ESRI ArcGIS in Kentucky single plain 1602 ft projection. This data was then exported into a spreadsheet showing latitude and longitude for each point to be used for modeling at different scales to determine the fractal dimension of the set. Following the porosity and diffusivity studies of Tarafdar and Roy1 we extract fractal dimensions of the fossil fuel mining locations and search for evidence of scaling laws for the set of deposits. The Levy index is used to determine a match to a statistical mechanically motivated generalized probability function for the wells. This probability distribution corresponds to a solution of a dynamical anomalous diffusion equation of fractional order that describes the Levy paths which can be solved in the diffusion limit by the Fox H function ansatz.Comment: : 8 pages, 3 figures, AIPG Conference Meeting, Grand Junction CO, Oct. 200

Flattening an object algebra to provide performance

Algebraic transformation and optimization techniques have been the method of choice in relational query execution, but applying them in object-oriented (OO) DBMSs is difficult due to the complexity of OO query languages. This paper demonstrates that the problem can be simplified by mapping an OO data model to the binary relational model implemented by Monet, a state-of-the-art database kernel. We present a generic mapping scheme to flatten data models and study the case of straightforward OO model. We show how flattening enabled us to implement a query algebra, using only a very limited set of simple operations. The required primitives and query execution strategies are discussed, and their performance is evaluated on the 1-GByte TPC-D (Transaction-processing Performance Council's Benchmark D), showing that our divide-and-conquer approach yields excellent result

Hobby Farms and Protection of Farmland in British Columbia

Agricultural land protection near the urban-rural fringe is a goal of many jurisdictions, and none more so than British Columbia, Canada, which uses a provincial-wide zoning scheme to prevent subdivisions and non-agricultural uses of the land. A preferential tax regulation scheme for farmers is also in place, as in many jurisdictions. Small scale hobby farmers are present at the urban fringe near Victoria (the capital) both on land inside and outside of the Agricultural Land Reserve (ALR). The goal of this paper is to investigate whether or not the establishment of hobby farms creates problems for agricultural land preservation. We make use of a GIS (geographic information system) to construct detailed spatial variables and we employ two models to analyse our parcel-level data set: an hedonic pricing model and a limited dependent variable model. The conclusions drawn from the results in this paper would likely apply to other jurisdictions which seek to protect agricultural land in the urban fringe.Hobby farmers, Agricultural Land Reserve, Geographical Information System, urban-rural fringe,zoning systems, farmland fragmentation

Evaluating Urban Sustainability Using Land-Use Transport Interaction Models

The objective of the EU research project PROPOLIS (Planning and Research of Policies for Land Use and Transport for Increasing Urban Sustainability) was to assess urban strategies and to demonstrate their long-term effects in European cities. To reach this goal, a comprehensive framework of methodologies including integrated land-use, transport and environmental models as well as indicator, evaluation and presentation systems was developed. Sustainable development is viewed as comprising the environmental, socio-cultural and economic dimension. Thirty-five indicators were defined to measure the three dimensions of sustainability, such as air pollution, consumption of natural resources, quality of open space, population exposure to air pollution and noise, equity and opportunities and economic benefits from transport and land use.  Indicator values are derived from state-of-the-art urban land-use and transport models. A number of additional modules, including a justice evaluation module, an economic evaluation module and a GIS-based raster module, were developed and integrated to provide further indicator values. Both multicriteria and cost-benefit analysis methods are used to consistently evaluate the impacts of the policies. The environmental and social dimensions of sustainability are measured using multicriteria analysis for the evaluation of the indicators, whereas cost-benefit analysis is used for the economic dimension. The modelling and evaluation system was implemented in seven European urban regions: Bilbao (Spain), Brussels (Belgium), Dortmund (Germany), Helsinki (Finland), Inverness (Scotland), Naples (Italy) and Vicenza (Italy). A large number of policies were tested with the modelling and evaluation system in the seven urban regions. Policies investigated are land use policies, transport infrastructure policies, transport regulation and pricing policies and combinations of these. Besides a common set of policies examined in all seven urban regions, also city-specific local policies were assessed in each urban region.  The first part of the paper introduces the methodology and the model system developed. A particular focus is on the development of indicators describing urban sustainability derived from different indicator modules in the modelling system. The second part presents selected aggregated results of the policy testing and evaluation for Dortmund as one of the seven urban regions. The paper concludes with recommendations on how successful strategies to enhance the long-term  ustainability of urban regions should look like

Territorial analysis method of socio-economic conflicts between human development and environmental conservation.

This paper focuses on a methodology for analyzing potential territory capacities such as local development and conflict resolution of the use of land natural resources. Ecological economics and landscape ecology are the theoretical origins of this methodology so that it’s possible to give a value to both economic aspects and social-environmental aspects. In this case public stakeholder choices will have many actuation opportunities because they will be based on the sustainable development concept. The aim of our study is to describe the multifunctional role that the agricultural activities carry out within a territory; to do this, it is necessary to find a methodology which can define social functions that characterize the territory of analysis. According to the definitions widely accepted by part of the European scientific community, the agricultural field expresses four kinds of functions: environmental, natural, social and economic. Among these, the role of the forest is particularly important. For every defined function a set of indicators has been chosen that permit the analysis of the various aspects of agricultural activities. The statistical basis was the 2000 Agriculture Census (Istat, 2001). In this document there is present different types of information that are connected to the multifunctional aspects of the field.

LandParcelS: A module for automated land partitioning

Land fragmentation is a widespread problem and schemes for consolidating land are required to improve agricultural efficiency. This paper explains the development of a module called LandParcelS (Land Parcelling System) that is part of an integrated planning and decision support system called LAONISS which is being developed to assist land consolidation planning in Cyprus. LandParcelS is the component of the system that automates the land partitioning process by optimising land parcels in terms of shape, size and value. The methodology employs a genetic algorithm and results are presented when treating the partitioning task as either a single or multi-objective problem

Genetic Land - Modeling land use change using evolutionary algorithms

Future land use configurations provide valuable knowledge for policy makers and economic agents, especially under expected environmental changes such as decreasing rainfall or increasing temperatures, or scenarios of policy guidance such as carbon sequestration enforcement. In this paper, modelling land use change is designed as an optimization problem in which landscapes (land uses) are generated through the use of genetic algorithms (GA), according to an objective function (e.g. minimization of soil erosion, or maximization of carbon sequestration), and a set of local restrictions (e.g. soil depth, water availability, or landscape structure). GAs are search and optimization procedures based on the mechanics of natural selection and genetics. The GA starts with a population of random individuals, each corresponding to a particular candidate solution to the problem. The best solutions are propagated; they are mated with each other and originate “offspring solutions” which randomly combine the characteristics of each “parent”. The repeated application of these operations leads to a dynamic system that emulates the evolutionary mechanisms that occur in nature. The fittest individuals survive and propagate their traits to future generations, while unfit individuals have a tendency to die and become extinct (Goldberg, 1989). Applications of GA to land use planning have been experimented (Brookes, 2001, Ducheyne et al, 2001). However, long-term planning with a time-span component has not yet been addressed. GeneticLand, the GA for land use generation, works on a region represented by a bi-dimensional array of cells. For each cell, there is a number of possible land uses (U1, U2, ..., Un). The task of the GA is to search for an optimal assignment of these land uses to the cells, evolving the landscape patterns that are most suitable for satisfying the objective function, for a certain time period (e.g. 50 years in the future). GeneticLand develops under a multi-objective function: (i) Minimization of soil erosion – each solution is validated by applying the USLE, with the best solution being the one that minimizes the landscape soil erosion value; (ii) Maximization of carbon sequestration – each solution is validated by applying atmospheric CO2 carbon uptake estimates, with the best solution being the one that maximizes the landscape carbon uptake; and (iii) Maximization of the landscape economic value – each solution is validated by applying an economic value (derived from expert judgment), with the best solution being the one that maximizes the landscape economic value. As an optimization problem, not all possible land use assignments are feasible. GeneticLand considers two sets of restrictions that must be met: (i) physical constraints (soil type suitability, slope, rainfall-evapotranspiration ratio, and a soil wetness index) and (ii) landscape ecology restrictions at several levels (minimum patch area, land use adjacency index and landscape contagion index). The former assures physical feasibility and the latter the spatial coherence of the landscape. The physical and landscape restrictions were derived from the analysis of past events based on a time series of Landsat images (1985-2003), in order to identify the drivers of land use change and structure. Since the problem has multiple objectives, the GA integrates multi-objective extensions allowing it to evolve a set of non-dominated solutions. An evolutive type algorithm – Evolutive strategy (1+1) – is used, due to the need to accommodate the very large solution space. Current applications have about 1000 decision variables, while the problem analysed by GeneticLand has almost 111000, generated by a landscape with 333*333 discrete pixels. GeneticLand is developed and validated for a Mediterranean type landscape located in southern Portugal. Future climate triggers, such as the increase of intense rainfall episodes, is accommodated to simulate climate change . This paper presents: (1) the formulation of land use modelling as an optimization problem; (2) the formulation of the GA for the explicit spatial domain, (3) the land use constraints derived for a Mediterranean landscape, (4) the results illustrating conflicting objectives, and (5) limitations encountered.

Patterns of past and recent conversion of indigenous grasslands in the South Island, New Zealand

We used recent satellite imagery to quantify the extent, type, and rate of conversion of remaining indigenous grasslands in the inland eastern South Island of New Zealand in recent years. We describe the pattern of conversion in relation to national classifications of land use capability and land environments, and ecological and administrative districts and regions. We show that although large areas of indigenous grasslands remain, grassland loss has been ongoing. Indigenous grassland was reduced in the study area by 3% (70 200 ha) between 1990 and 2008. Almost two-thirds of post-1990 conversion occurred in threatened environments with less than 30% of indigenous cover remaining, primarily in the Waitaki, Mackenzie and Central Otago administrative districts. This conversion occurred primarily on non-arable land. In the Mackenzie and Waitaki districts the rate of conversion in 2001-2008 was approximately twice that in 1990-2001. Opportunities to protect more of the full range of indigenous grasslands lie with the continuing tenure review process in these districts