'Biocomplexity' is a multidisciplinary field that examines and investigates emergent properties arising from the interaction of multiple biological agents, phenomena, and systems, which may range in spatiotemporal scales, biological relationships,interactions and levels from molecules to ecosystems. Research in this area investigates the nonlinear or chaotic dynamics, unpredictable behavior, self-organization, and adaptation of living systems, aware that biological systems can display characteristics that cannot be understood through the study of individual properties alone. [1] [2] [3]
Biocomplexity sheds light on the interconnectedness of life, recognizing that the behavior of biological entities emerges from the intricate interplay of countless biotic and abiotic factors. This understanding enables us to grasp how living systems can exhibit properties that go beyond the mere sum of their elements, opening up new possibilities for addressing real-world challenges in diverse fields such as medicine, ecology, and biotechnology. [4]
To answer questions about system resilience, self-organization and adaptation, new modelling approaches have been developed and researchers are transitioning to more quantitative methods in order to better understand and analyze complex human and natural systems. These approaches focus on questions about system properties and interactions that create self-organizing or emergent behavior, and the circumstances in which unexpected system responses may occur. Analyzing the state of these systems can provide insight into system resilience, vulnerability, and management. [5]
Primarily as a result of funding policy changes at the American National Science Foundation around 2000, some researchers have begun to use the term biocomplexity in a narrower sense to denote the complex behavioral, biological, social, chemical, and physical interactions of living organisms with their environment. This relatively new subfield of biocomplexity encompasses other domains such as biodiversity and ecology.
Ecology is the natural science of the relationships among living organisms, including humans, and their physical environment. Ecology considers organisms at the individual, population, community, ecosystem, and biosphere level. Ecology overlaps with the closely related sciences of biogeography, evolutionary biology, genetics, ethology, and natural history.
Systems theory is the transdisciplinary study of systems, i.e. cohesive groups of interrelated, interdependent components that can be natural or artificial. Every system has causal boundaries, is influenced by its context, defined by its structure, function and role, and expressed through its relations with other systems. A system is "more than the sum of its parts" by expressing synergy or emergent behavior.
Theoretical ecology is the scientific discipline devoted to the study of ecological systems using theoretical methods such as simple conceptual models, mathematical models, computational simulations, and advanced data analysis. Effective models improve understanding of the natural world by revealing how the dynamics of species populations are often based on fundamental biological conditions and processes. Further, the field aims to unify a diverse range of empirical observations by assuming that common, mechanistic processes generate observable phenomena across species and ecological environments. Based on biologically realistic assumptions, theoretical ecologists are able to uncover novel, non-intuitive insights about natural processes. Theoretical results are often verified by empirical and observational studies, revealing the power of theoretical methods in both predicting and understanding the noisy, diverse biological world.
In philosophy, systems theory, science, and art, emergence occurs when a complex entity has properties or behaviors that its parts do not have on their own, and emerge only when they interact in a wider whole.
A complex system is a system composed of many components which may interact with each other. Examples of complex systems are Earth's global climate, organisms, the human brain, infrastructure such as power grid, transportation or communication systems, complex software and electronic systems, social and economic organizations, an ecosystem, a living cell, and ultimately the entire universe.
A food web is the natural interconnection of food chains and a graphical representation of what-eats-what in an ecological community. Ecologists can broadly define all life forms as either autotrophs or heterotrophs, based on their trophic levels, the position that they occupy in the food web. To maintain their bodies, grow, develop, and to reproduce, autotrophs produce organic matter from inorganic substances, including both minerals and gases such as carbon dioxide. These chemical reactions require energy, which mainly comes from the Sun and largely by photosynthesis, although a very small amount comes from bioelectrogenesis in wetlands, and mineral electron donors in hydrothermal vents and hot springs. These trophic levels are not binary, but form a gradient that includes complete autotrophs, which obtain their sole source of carbon from the atmosphere, mixotrophs, which are autotrophic organisms that partially obtain organic matter from sources other than the atmosphere, and complete heterotrophs that must feed to obtain organic matter.
Systems Science, also referred to as systems research, or, simply, systems, is a transdisciplinary field that is concerned with understanding simple and complex systems in nature and society, for which leads to the advancements of formal, natural, social, and applied attributions throughout engineering, technology and science, itself.
Macroecology is a subfield in ecology that uses a methodological approach that investigates the empirical patterns and mechanistic processes by which the particulate components of complex ecological systems generate emergent structures and dynamics Unlike traditional ecology, which focuses on local and small-scale interactions, macroecology seeks to identify general emergent patterns within and across spatial and temporal scales.
A complex adaptive system is a system that is complex in that it is a dynamic network of interactions, but the behavior of the ensemble may not be predictable according to the behavior of the components. It is adaptive in that the individual and collective behavior mutate and self-organize corresponding to the change-initiating micro-event or collection of events. It is a "complex macroscopic collection" of relatively "similar and partially connected micro-structures" formed in order to adapt to the changing environment and increase their survivability as a macro-structure. The Complex Adaptive Systems approach builds on replicator dynamics.
In ecology, an ecosystem is said to possess ecological stability if it is capable of returning to its equilibrium state after a perturbation or does not experience unexpected large changes in its characteristics across time. Although the terms community stability and ecological stability are sometimes used interchangeably, community stability refers only to the characteristics of communities. It is possible for an ecosystem or a community to be stable in some of their properties and unstable in others. For example, a vegetation community in response to a drought might conserve biomass but lose biodiversity.
Systems ecology is an interdisciplinary field of ecology, a subset of Earth system science, that takes a holistic approach to the study of ecological systems, especially ecosystems. Systems ecology can be seen as an application of general systems theory to ecology. Central to the systems ecology approach is the idea that an ecosystem is a complex system exhibiting emergent properties. Systems ecology focuses on interactions and transactions within and between biological and ecological systems, and is especially concerned with the way the functioning of ecosystems can be influenced by human interventions. It uses and extends concepts from thermodynamics and develops other macroscopic descriptions of complex systems.
A coupled human–environment system characterizes the dynamical two-way interactions between human systems and natural systems. This coupling expresses the idea that the evolution of humans and environmental systems may no longer be treated as individual isolated systems.
The following outline is provided as an overview of and topical guide to ecology:
Biological organisation is the organisation of complex biological structures and systems that define life using a reductionistic approach. The traditional hierarchy, as detailed below, extends from atoms to biospheres. The higher levels of this scheme are often referred to as an ecological organisation concept, or as the field, hierarchical ecology.
Total human ecosystem (THE) is an eco-centric concept initially proposed by ecology professors Zeev Naveh and Arthur S. Lieberman in 1994.
A social-ecological system consists of 'a bio-geo-physical' unit and its associated social actors and institutions. Social-ecological systems are complex and adaptive and delimited by spatial or functional boundaries surrounding particular ecosystems and their context problems.
Artificial life is a field of study wherein researchers examine systems related to natural life, its processes, and its evolution, through the use of simulations with computer models, robotics, and biochemistry. The discipline was named by Christopher Langton, an American theoretical biologist, in 1986. In 1987 Langton organized the first conference on the field, in Los Alamos, New Mexico. There are three main kinds of alife, named for their approaches: soft, from software; hard, from hardware; and wet, from biochemistry. Artificial life researchers study traditional biology by trying to recreate aspects of biological phenomena.
This is a bibliography of ecology.
J. Stephen Lansing is an American anthropologist and complexity scientist. He is especially known from his decades of research on the emergent properties of human-environmental interactions in Bali, Borneo and the Malay Archipelago; social-ecological modeling, and complex adaptive systems. He is an external professor at the Santa Fe Institute and the Complexity Science Hub Vienna; a Fellow at the Center for Advanced Study in the Behavioral Sciences at Stanford; a visiting scholar at the Hoffman Global Institute for Business and Society at INSEAD Singapore, and emeritus professor of anthropology at the University of Arizona.
Catherine Mann Pringle is a distinguished research professor at the Odum School of Ecology at the University of Georgia. She studies aquatic ecosystems and conservation. Pringle has previously served as president of the Society for Freshwater Science. She is a Fellow of the American Association for the Advancement of Science and the Ecological Society of America.