Background to constructing a synthetic predictive model of agricultural land use in Ontario

by Geoffrey Thomas McDonald

Publisher: Centre for Urban and Community Studies, University of Toronto in [Toronto]

Written in English
Published: Pages: 473 Downloads: 978
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Subjects:

  • Agriculture -- Economic aspects -- Ontario,
  • Forecasting -- Mathematical models,
  • Land -- Ontario -- Mathematical models,
  • Land -- Ontario

Edition Notes

Series[Environment study] Research paper, no. 37 Component study no. 5, Environment study -- no. 37, Urban development study (Component study no. 5
Classifications
LC ClassificationsHD1790 O5 M3
The Physical Object
Pagination[47,3 leaves]
Number of Pages473
ID Numbers
Open LibraryOL18955536M

This required assembling large quantities of food, which drove agricultural technology. The Demographic theories Carl Sauer[11] and adapted by Lewis Binford[12] and Kent Flannery - increasingly sedentary population that expanded up to the carrying capacity of the local environment and required more food than could be gathered. Some examples of these tools are • the spatial separation of conflicting land uses (e.g., agricultural and urban land use); • legislation and regulation with regard to the agricultural use of land (e.g., nitrate application criteria to protect water resources); • promotion of and provision of the means for nature management by farmers. management of agricultural land use including, e.g., changes in levels of inputs and the effect of this on profitability or the periodicity of complex land-use trajectories, e.g., fallow cycles, rotation systems or secondary forest regrowth. Agricultural land intensification has been one of the most significant forms of land-cover modifica-. This book presents an up-to-date review of advances in the mathematical modeling of agricultural systems. It covers a broad spectrum of problems and applications based on internet and communications technology, as well as methodological approaches based on the integration of different simulation and data management tools.

Mixed-model analysis of agricultural experiments: when some effects are random. Rong-Cai Yang. Alberta Agriculture and Rural Development. and. University of Alberta. @ CSA Statistics Symposium – GUELPH 09 August 7, a generalized linear mixed model (multinomial) of land use decisions is proposed to estimate agricultural land uses, in a prediction approach framework. The spatiotemporal correlation structure is assessed using semivariograms models and a panel data set on land uses and on auxiliary variables observed in a spatial sample. The tendency to use agricultural land. 4 Table 2 Changes in Land Uses Recorded Over a 30 Year Period Near a Large Reservoir Type of Use Total Change Agricultural , , , , (-) Residential 1, 7, (+) Commercial 18 39 The extent, however, to which agricultural practices serve as a nonpoint source of pollution is largely a function of how the agricultural land is managed. Farmers can use land-management practices that control erosion, increase soil moisture, and reduce the transport of .

Methods. More than half of France is covered by agricultural land, with regional differences in terms of agroecosystems. Croplands and grasslands represent respectively about 66% and 34% of the French agricultural area [].We used a typology of the major French agroecosystems (Fig. 1a.), classified based on their structural and dynamic similarities, as reported by AND International []. agricultural land by region and country, All organic land use types by region and country Organic producers and other operator types by country Land use and key crop groups in organic agriculture worldwide in the regions Data Providers and Data Sources. Willer, H. and Kilcher, L. (Eds. * When authors make use of data they should cite both the data set and the scientific publication, if available. Such a practice gives credit to data set producers and .

Background to constructing a synthetic predictive model of agricultural land use in Ontario by Geoffrey Thomas McDonald Download PDF EPUB FB2

A Background Paper Submitted to agricultural intensification is a major cause of land use change. Agricultural intensification can occur at both the intensive margin and the extensive margin. Agricultural assessment of the main methods used to model land use change and classify land use models along two dimensions: first, models that.

Farmers’ Preferences for Future Agricultural Land Use Under the Consideration of Climate Change. These results provide the background for a predictive model or decision support tool (DST), which shows the likely choices by the entire sample and its respective clusters for possible scenarios.

Below, we will use the DST to investigate the Cited by:   The combination of dynamic, process-based models with optimisation techniques underpinned the development of the Integrated Model to Predict European Land Use (IMPEL; Rounsevell et al., ).

The requirement for IMPEL was to be able to assess modifications to the spatial distribution of agricultural land-use in response to climate by:   Human expansion throughout the world caused that agriculture is a dominant form of land management globally.

Human influence on the land is accelerating because of rapid population growth and increasing food requirements. To stress the interactions between society and the environment, the driving forces (D), pressures (P), states (S), impacts (I), and response (R) (DPSIR) Cited by: 8.

facilities to more effectively use land and water resources. This model was the only approaches to intensification of agricultural production that was available to most of the world’s farmers. Agricultural development within the ambit of the conservation model, clearly was capable in many areas of the.

Agricultural Land Use P. Berger J. Bolte Tab le Distribution of agricultural land use for each scenario. Land Use LULC Agricultural % 83% 99% 80% Built 0% 1% 1% 6% model makes a crop decision, subject to the assumptions and constraints of the future scenario. Land-use shares model. The land-use shares model is an approach to analyze landscape dynamics when household or parcel level data is not available (see Wu and Brorsen,Miller and Plantinga,Wu and Adams,Wu and Li, for a detailed description of the model).

An analysis of factors affecting agricultural land use patterns and livelihood strategies of farm households in Kanchanaburi Province, Thailand. Journal of Land Use Science: Vol. 7. Wisconsin has been developing global databases of contemporary and historical agricultural land use and land cover.

SAGE has chosen to focus on agriculture because it is clearly the predominant land use activity on the planet today, and provides a vital service – food – for human societies. model was used as an instrument to allocate agricultural land uses, to rationalize and optimize the sustainable use of rural land and to promote rural development (Álvarez et al., ; Riveiro et al., ).

“Selected Proceedings from the 12th International Congress on Project Engineering”. Rwanda’s Crop Intensification Program, launched infor instance, balanced land use between intercropping of diverse crops and monocropping of a set of six priority crops.

The country’s agricultural transformation plan included specified priority agricultural value chains in both food and export commodities (including apiculture. subsidy increases are a natural experiment from which to measure land-use decisions against an exogenous change in premium rates.

Our econometric model of land-use change is based on the parcel-specific data on land use and land characteristics from the and National Resources Inven-tory (NRI). This paper examines the principle features of von Thunen’s agricultural land use model and its application in developing countries, particularly in Africa.

Further references from both developed and developing countries are provided for those who wish to establish a collection of empirical case studies.

Thus, land use is the backbone of agricultural economies and it provides substantial economic and social benefits. Land use change is necessary and essential for economic development and social progress.

Land use change, however, does not come without costs (see Table 1). Conversion of farmland and forests to. Abstract. This chapter focuses on the land use statistics of the state of Uttar Pradesh in context of general land use characteristics which include different categories of land occupied to the total reporting area of the state, viz., area devoted to forests, barren land, land not available for utilization, culturable waste, pastures, miscellaneous trees, current fallow, other than current.

The use value of agricultural land is defined as the net income one could expect to receive from crops (e.g., corn, alfalfa, pasture, and wheat) grown on the land, with the use value of horticultural land defined Beginning in TY, pasture was included as a crop within the use-value model The use-value 4 County or city 5 Crop acreages.

In the United States, around million hectares of agricultural land has been lost in the last 30 years as a result of soil degradation and conversion for urban use. GHGs released through land use change, or the expansion of agricultural cropland onto land not previously used for this purpose, is a driver for climate change.

The major concern with cropland expansion, in the United States or Brazil, is the release of CO 2 to the atmosphere from the natural carbon stocks in native vegetation and soils (Lark. The von Thunen model of agricultural land use states all of the following except that _____. most perishable items are cultivated nearest the city B.

the location of agriculture depends on transportation costs C. the epicenter is the least profitable land for farming D. land close to town is worth more.

Chapter IV: Auditing land use/land management issue(s) Appendices The first chapter gives an overview of definitions and concepts related to land, land use and land management, and outline the magnitude of the overall issues on these topics.

The second chapter presents the main environmental issues in land use. It explains the different types. In my study I will use a panel data set of Finnish farms in order to: 1. nd the preferred way to model land use in AGE model production function, 2. estimate the values of the substitution elasticities in the land use nest in Finnish AGE model.

The data is for Finnish farms and Finland as agricultural. The Advanced Series in Agricultural Sciences is designed to ftll a long-felt need for advanced educational and technological books in the agricultural sciences.

These texts, intended primarily for students of agriculture, should also provide up-to-date technical background reading for the many agricultural workers in extension services.

Agricultural Land-Use Change The Role of Economics and Policy Ruben N. Lubowski, Shawn Bucholtz, Roger Claassen, Michael J. Roberts, Joseph C. Cooper, Anna Gueorguieva, and Robert Johansson August Abstract This report examines evidence on the relationship between agricultural land-use.

Agriculture is the science and art of cultivating plants and livestock. Agriculture was the key development in the rise of sedentary human civilization, whereby farming of domesticated species created food surpluses that enabled people to live in cities.

The history of agriculture began thousands of years ago. After gathering wild grains beginning at leastyears ago, nascent farmers. Discussion and analysis of systems can be of them as actual systems (e.g., of constituent physical processes in the case of natural physical systems) or as representational representations or models of actual systems take such forms as written descriptions, physical models, mathematical models, flowcharts, tables of data and computer programs.

A shift to organic agriculture brings about significant change: first, the composition of the inputs changes. Together with a reduction in the use of synthetic fertilizer and pesticides, an increase of other inputs can occur, such as organic material, labour and machinery.

Agriculture also benefits more than million businesses annually, thanks to the $ billion it rakes in profit. Getting into agriculture by buying a farm is not a bad idea. Buying land through mortgage listings or agreeing to a tax deferred exchange with a farmer directly selling their land is a good start.

Before you do so, learn. A Model of Agricultural Land Use. The Von Thunen model of agricultural land use was created by farmer and amateur economist J.H.

Von Thunen () in (but it wasn't translated into English until ). Von Thunen's model was created before industrialization and is based on the following limiting assumptions. Globalands WP und 7 Figure Changes in land cover and land-use in Central Asia from to ; Bare lands (degraded land, deserts).

*Von Thunen's model is used to explain urban land use patterns. For example, the land values decrease as distance from the central point of attraction increases, and that different land use activities are contained in concentric rings equal to the distance from the central point of attraction based on the weight (transportation cost) of the activity.

Agricultural holdings in constitution of agricultural lands have a priority in usage and are subject to especial protection (Shmidt, Tsarenko & Neyfeld, ). Lands transfer of land areas in constitution of such lands in other categories is allowed in unique cases (Schierhorn et .ADVERTISEMENTS: After reading this article you will learn about: 1.

Analysis of Agricultural Project 2. Types of Agricultural Projects 3. Aspects 4. Economic Analysis 5. Financial Analysis 6. Costs 7. Benefits. Analysis of Agricultural Project: The analysis rests on: (a) Technicians, like agronomists, soil scientists, civil engineers etc.

use information and their judgment about the [ ].The originality of this book is to review and characterize the current body of scientific publications that describe the complete causal sequence from reorganization of agricultural production to land use changes (LUC) and the resulting environmental impacts.