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Taha Toros Arşivi, Dosya No: 112-Lokantalarİstanbul Kalkınma Ajansı (TR10/14/YEN/0033) İstanbul Development Agency (TR10/14/YEN/0033
Integration of all FSSIM components within SEAMLESS-IF and a stand alone graphical user interface for FSSIM
SEAMLESS (System for Environmental and Agricultural Modelling; Linking European Science and Society) integrated project, EU 6th Framework Programme, contract no. 010036-2International audiencePolicy makers and farmers have an interest in making ex-ante assessments of the outcomes of their choices in terms of policy and farm plan. This interest mainly concerns the assessment of socio-economic and environmental performance of farms as a result of innovations and policies. Mathematical models based on systems analysis are suited to explore and assess uncertain future states of systems. A Bio-Economic Farm Model (BEFM) is defined as a model that links formulations describing farmers’ resource management decisions to formulations that describe current and alternative production possibilities in terms of required inputs to achieve certain outputs and associated externalities. Currently many descriptions and applications of BEFMs are being published. A BEFM that is easy to transfer between locations or farm types is called generic, which we define as ‘being able to deal with different scales, locations, functionalities, and levels of detail. Although some model studies claim that their model is easily transferable to other regions and farm types, there is little evidence from literature supporting these claims. A generic bio-economic farm model should be able to adequately represent arable, livestock and perennial activities, current agricultural activities and future alternative activities, different objective functions, different resource and policy constraints, future policies and technological innovations as scenarios and should include good calibration procedures. In SEAMLESS the Farming Systems SIMulator (FSSIM) has been developed as a generic and transferable model that can easily be extended with new features and re-used across data-sets, farm types and locations. In this deliverable we (i) describe FSSIM and its design as an integrated generic bio-economic farm model, (ii) briefly describe each of the components of FSSIM and provide references to relevant deliverables and publications for more detail and (iii) evaluating FSSIM on criteria for generic models by describing applications of FSSIM
Time and Reference Systems
Geodesy is the science of the measurement and
mapping of the Earth’s surface, and in this context
it is also the science that defines and realizes
coordinates and associated coordinate systems.
Geodesy thus is the foundation for all applications
of global navigation satellite system (GNSS). This
chapter presents the reference systems needed
to describe coordinates of points on the Earth’s
surface or in near space and to relate coordinate
systems among each other, as well as to some
absolute system, visually, a celestial system. The
topic is primarily one of geometry, but the geodynamics
of the Earth as a rotating body in the solar
system plays a fundamental role in defining and
transforming coordinate systems. Therefore, also
the fourth coordinate, time, is critical not only as
the independent variable in the dynamical theories,
but also as a parameter in modern geodetic
measurement systems. Instead of expounding the
theory of geodynamics and celestial mechanics,
it is sufficient for the purpose of this chapter to
describe the corresponding phenomena, textually,
analytically and illustratively, in order to give
a sense of the scope of the tasks involved in providing
accurate coordinate reference systems not
just to geodesists, but to all geoscientists