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Subsequently, the EFSA [60] proposed to define protection goals by the ecological entity (e.g. individual or population), by the attribute (e.g. lethality or abundance) and by three types of scale: magnitude of impact, spatial scale of impact and temporal scale of impact.
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They are intended to provide a framework for mapping more specific ecological entities of interest.
The very subsistence of both cultural and ecological entities is dependent upon these dynamic and cyclical systems.
The proposed 50% effect size as a field LoC seems to comply with statistical constraints rather than with biological needs of the affected ecological entities.
Any decisions on LoCs for the ERA must therefore be aware of the potential consequences of acceptable effect sizes for the relevant ecological entities and ecosystem functions and services if large-scale and long-term GMO cultivation is envisaged.
Management of ecological entities in agricultural landscapes is often challenged by a complex ownership structure governed by a cadastral system dictated by agricultural interests and historical land use practices.
In a broad overview of the risk assessment process we stress the need to build a conceptual model of the whole system including multiple species (humans and other ecological entities), stressors, and cumulative effects.
This paper presents a brief outline of the theoretical and conceptual fundamentals for the derivation of an ecosystem oriented indicator system to demonstrate the state of ecological entities on a holistic basis.
Recently, complex network theory has been applied to ecological entities, like food webs or mutualistic plant-animal interactions.
Sets are ecological entities associated with specific landforms, strongly influenced by dynamic morphological processes.
This reinforces the growing awareness that taxonomic units based on 18S rDNA identity are at least sometimes insufficiently resolving to identify distinct ecological entities [ 18- 21].
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