@inbook {Fernandez_Gershenson_2014,
	title = {Measuring Complexity in an Aquatic Ecosystem},
	booktitle = {Advances in Computational Biology},
	series = {Advances in Intelligent Systems and Computing},
	volume = {232},
	year = {2014},
	pages = {83-89},
	publisher = {Springer},
	organization = {Springer},
	abstract = {We apply formal measures of emergence, self-organization, homeostasis, autopoiesis and complexity to an aquatic ecosystem; in particular to the physiochemical component of an Arctic lake. These measures are based on information theory. Variables with an homogeneous distribution have higher values of emergence, while variables with a more heterogeneous distribution have a higher self-organization. Variables with a high complexity reflect a balance between change (emergence) and regularity/order (self-organization). In addition, homeostasis values coincide with the variation of the winter and summer seasons. Autopoiesis values show a higher degree of independence of biological components over their environment. Our approach shows how the ecological dynamics can be described in terms of information.},
	doi = {10.1007/978-3-319-01568-2_12},
	url = {http://arxiv.org/abs/1305.5413},
	author = {Fern{\'a}ndez, Nelson and Gershenson, Carlos},
	editor = {Castillo, Luis F. and Cristancho, Marco and Isaza, Gustavo and Pinz{\'o}n, Andr{\'e}s and Corchado Rodr{\'\i}guez, Juan Manuel}
}
