Extending ecological network analysis measures to dynamic ecosystem models

dc.contributor.author	Kazanci, C	en
dc.contributor.author	Ma, Q	en
dc.date.accessioned	2014-06-06T06:51:48Z
dc.date.available	2014-06-06T06:51:48Z
dc.date.issued	2012	en
dc.identifier.issn	03043800	en
dc.identifier.uri	http://dx.doi.org/10.1016/j.ecolmodel.2012.05.021	en
dc.identifier.uri	http://62.217.125.90/xmlui/handle/123456789/5709
dc.subject	Agent based model	en
dc.subject	Ecological networks	en
dc.subject	Network analysis	en
dc.subject	Residence time	en
dc.subject	Storage analysis	en
dc.subject.other	Agent based	en
dc.subject.other	Agent-based model	en
dc.subject.other	Climate shifts	en
dc.subject.other	Compartmental model	en
dc.subject.other	Ecological network analysis	en
dc.subject.other	Ecological networks	en
dc.subject.other	Ecosystem model	en
dc.subject.other	Ecosystem organization	en
dc.subject.other	Environmental science	en
dc.subject.other	External input	en
dc.subject.other	Holistic approach	en
dc.subject.other	Indirect effects	en
dc.subject.other	Mean residence time	en
dc.subject.other	Novel methodology	en
dc.subject.other	Particle tracking	en
dc.subject.other	Residence time	en
dc.subject.other	Seasonal changes	en
dc.subject.other	Steady-state flows	en
dc.subject.other	Steady-state models	en
dc.subject.other	System boundary	en
dc.subject.other	Throughflow	en
dc.subject.other	Dynamic models	en
dc.subject.other	Electric network analysis	en
dc.subject.other	Environmental management	en
dc.subject.other	Tissue	en
dc.subject.other	Ecosystems	en
dc.subject.other	climate change	en
dc.subject.other	compartmentalization	en
dc.subject.other	ecosystem modeling	en
dc.subject.other	environmental impact	en
dc.subject.other	holistic approach	en
dc.subject.other	network analysis	en
dc.subject.other	residence time	en
dc.subject.other	seasonal variation	en
dc.subject.other	steady-state equilibrium	en
dc.subject.other	throughflow	en
dc.title	Extending ecological network analysis measures to dynamic ecosystem models	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.ecolmodel.2012.05.021	en
heal.publicationDate	2012	en
heal.abstract	Ecological network analysis measures such as cycling index, indirect effects, and storage analysis provide insightful information on ecosystem organization and function, which can be extremely useful for environmental management and control. These system-wide measures focus on indirect relations among system compartments, providing a holistic approach. Unfortunately, the application of these useful measures are restricted to steady state models. Seasonal changes, environmental impacts, and climate shifts are not accommodated by the current methodology, which greatly limits their application. The novel methodology introduced in this paper extends the application of these useful but limited measures to dynamic compartmental models. This method relies on network particle tracking simulation, which is an agent based algorithm, whereas the current methods utilize steady-state flow rates and compartment storage values. We apply this new methodology to storage analysis, which quantifies how much storage is generated at any compartment within the system by a unit external input into another compartment. Also called compartmental mean residence time, this measure is widely used in environmental sciences, pharmacokinetics and nutrition, to assess the interaction between system boundary (e.g. drug intake, pollution, feeding) and internal compartments (e.g. tissues, crops, species). Storage analysis is chosen for demonstration because it is applicable to a limited class of dynamic models (linear and donor-controlled), which gives us an opportunity to verify our new method. The methodology introduced here is also applicable to Finn's cycling index, indirect effects index, throughflow analysis, and possibly other network analysis based indicators as well. © 2012.	en
heal.journalName	Ecological Modelling	en
dc.identifier.volume	242	en
dc.identifier.doi	10.1016/j.ecolmodel.2012.05.021	en
dc.identifier.spage	180	en
dc.identifier.epage	188	en