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Rural geography --- Geographical perception --- Géographie rurale --- Perception géographique --- Rural geography. --- 911.373 --- Rural settlements (their study and geography) --- 711.3 --- 911.3:63 --- Geography --- Environmental perception --- Maps, Mental --- Mental maps --- Perceptual cartography --- Perceptual maps --- Perception --- Orientation (Psychology) --- Space perception --- 711.3 Agrarische planologie --- Agrarische planologie --- Agricultural geography --- Geographical perception.

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Sustainable agriculture is a rapidly growing field aiming at producing food and energy in a sustainable way for humans and their children. Sustainable agriculture is a discipline that addresses current issues such as climate change, increasing food and fuel prices, poor-nation starvation, rich-nation obesity, water pollution, soil erosion, fertility loss, pest control, and biodiversity depletion. Novel, environmentally-friendly solutions are proposed based on integrated knowledge from sciences as diverse as agronomy, soil science, molecular biology, chemistry, toxicology, ecology, economy, and social sciences. Indeed, sustainable agriculture decipher mechanisms of processes that occur from the molecular level to the farming system to the global level at time scales ranging from seconds to centuries. For that, scientists use the system approach that involves studying components and interactions of a whole system to address scientific, economic and social issues. In that respect, sustainable agriculture is not a classical, narrow science. Instead of solving problems using the classical painkiller approach that treats only negative impacts, sustainable agriculture treats problem sources. Because most actual society issues are now intertwined, global, and fast-developing, sustainable agriculture will bring solutions to build a safer world. This book series gathers review articles that analyze current agricultural issues and knowledge, then propose alternative solutions. It will therefore help all scientists, decision-makers, professors, farmers and politicians who wish to build a safe agriculture, energy and food system for future generations.

Biomass energy. --- Farming. --- Genetics. --- Biomass energy --- Sustainable agriculture --- Agricultural systems --- Chemical & Materials Engineering --- Agriculture --- Engineering & Applied Sciences --- Earth & Environmental Sciences --- Chemical Engineering --- Agriculture - General --- Bio-energy (Biomass energy) --- Bioenergy (Biomass energy) --- Biofuels --- Biological fuels --- Energy, Biomass --- Microbial energy conversion --- Farming systems --- Systems, Agricultural --- Systems, Farming --- Life sciences. --- Agriculture. --- Life Sciences. --- Agricultural geography --- Farm management --- Energy conversion --- Fuel --- Energy crops --- Microbial fuel cells --- Refuse as fuel --- Waste products as fuel --- Farming --- Husbandry --- Industrial arts --- Life sciences --- Food supply --- Land use, Rural

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The bio-economic modeling approach presented in this book is a result of two distinct developments: by one side, the improvement of bio-physical simulation models applied to agricultural systems and by the other, the evolution of agricultural policies demanding a kind of assessment that conventional economic models are not able to provide. Some economists began to realize that biophysical models could be considered as detailed engineering production functions, allowing to represent in a consistent manner the joint products of agricultural activities. The perspectives that this vision provides allow dealing with environmental and natural resources issues with an economic perspective in an efficient manner. Representing environmental impacts of agricultural activities measured in physical units allows performing cost-efficiency calculations of alternative policies, potentially able to attain specified policy targets. This capability permitted in recent years the development of applied research related with institutional demands from national and international public institutions. But this approach requires a multidisciplinary approach, with positive and negative effects. The positive one is, both for economists and biophysical scientists, to enlarge their vision of the world. The negative effects are the greater difficulty to get recognized in their specific discipline, the obstacles to obtain the necessary information for properly use these models, and the longer time to perform the research activity. The “productivity” for producing papers is lower for economists applying this approach compared with economists applying econometric methods, using available published data. In spite of these negative effects, as the demands from the real world for the assessment these models are able to provide is increasing, it is quite possible that there is a future for bio-economic models applied to agricultural systems. The challenges of Climate Change, the increase care for the preservation of natural resources and the environment will require further developments of this kind of approach.

Agricultural systems -- Simulation methods. --- Agriculture -- Economic aspects -- Mathematical models. --- Biological systems -- Simulation methods. --- Agricultural systems --- Biological systems --- Agriculture --- Business & Economics --- Earth & Environmental Sciences --- Agricultural Economics --- Agriculture - General --- Simulation methods --- Agricultural systems. --- Biology, Economic. --- Economic aspects. --- Economic biology --- Farming systems --- Systems, Agricultural --- Systems, Farming --- Operations research. --- Management science. --- Agricultural economics. --- Environmental economics. --- Economics. --- Agricultural Economics. --- Environmental Economics. --- Operations Research, Management Science. --- Pests --- Agricultural geography --- Farm management --- Economics --- Environmental quality --- Agrarian question --- Agribusiness --- Agricultural economics --- Agricultural production economics --- Production economics, Agricultural --- Land use, Rural --- Environmental aspects --- Economic aspects --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory

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Food security --- Agricultural systems --- Agricultural productivity --- Sustainable agriculture --- Poor --- Economically Disadvantaged. --- Geographic information systems --- Northeastern States. --- Disadvantaged, Economically --- Economically disadvantaged --- Impoverished people --- Low-income people --- Pauperism --- Poor, The --- Poor people --- Persons --- Social classes --- Poverty --- Low-input agriculture --- Low-input sustainable agriculture --- Lower input agriculture --- Resource-efficient agriculture --- Sustainable farming --- Agriculture --- Alternative agriculture --- Productivity, Agricultural --- Farm management --- Farming systems --- Systems, Agricultural --- Systems, Farming --- Agricultural geography --- Food deserts --- Food insecurity --- Insecurity, Food --- Security, Food --- Human security --- Food supply --- Economic conditions --- Economic aspects --- Northeast --- Northeastern United States