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\section{Introduction}   Biological and ecological systems dynamics generate novel information from the relevant interactions among components. Interactions determine the future of systems and its complex behavior. Novel information limits predictability, as it is not included in initial   or boundary conditions. It can be said that this novel information is emergent since it is not in the components, but produced by their interactions. Interactions can also be used by components to self-organize, i.e. produce a global pattern from local dynamics.   The In recent years, the scientic study of complexity in ecological systems, including lakes, has increased the understanding of a broad range of phenomena, such as diversity, abundance, and hierarchical structure. In Ecology, the study of complexity as property have been different approximations (Relations of EC with ecological integrity, diversity and resilience   EC ( General) as ecological Indicator: Exploration of its potential useful. Description of spatial, temporal, structural or spatial temporal signatures of an ecosystems.)     In spite of the valuable efforts carried out in order to understanding, clarigy and measuring complexity in ecological systemas, more explorations are requiered. Boarding complexity aspects in ecology, it is important to consider that ecological systems exhibit properties like emergence, self-organization, and life. Lake dynamics generate novel information from the relevant interactions among components. Interactions determine the future of systems and its complex behavior. Novel information limits predictability, as it is not included in initial or boundary conditions. It can be said that this novel information is emergent since it is not in the components, but produced by their interactions. Interactions can also be used by components to self-organize, i.e. produce a global pattern from local dynamics. Interactions are one the most important reason for complexity generation.     Considering that there are multiple ways to describe the state of an ecosystem, in particular the  balance between change (chaos) and stability (order) states has been proposed as a characteristic of complexity. Since Based on Information Theory, we can say that  more chaotic systems produce more information (emergence) and more stable systems are more organized, organized; thus  complexity can be defined as the balance between emergence and self-organization. In addition, there are two properties that support the above processes: homeostasis refers to regularity of states in the system and autopoiesis that reflects autonomy. \cite{cite:0}