caa a22 4500 606169229 CHVBK 20210128100711.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s10098-014-0889-2 doi (NATIONALLICENCE)springer-10.1007/s10098-014-0889-2 Maximizing sustainability of ecosystem model through socio-economic policies derived from multivariable optimal control theory [Elektronische Daten] [Rohan Doshi, Urmila Diwekar, Pahola Benavides, Kirti Yenkie, Heriberto Cabezas] Current practices in natural resources consumption are unsustainable and may eventually lead to ecosystem extinction. Sustainable ecosystem management is necessary to ensure that human and ecological needs of the present are satisfied without compromising the ability of future generations to meet their own. This paper uses a simple mathematical model of an integrated ecological and economic system representing our planet's sectors, including, but not limited to, natural, industrial, housing, and energy production sectors. The aim of the project is to maximize the sustainability of this system, using Fisher information as a statistical measure as a measure of sustainability, and derive socio-economic policies using optimal control techniques. By controlling six policy parameters, we were able to sustain all the ecological mass compartments (which were not sustainable in the consumption increase scenario of the future), thus significantly increasing the lifespan of all the species in the model. Springer-Verlag Berlin Heidelberg, 2014 Sustainability nationallicence Ecosystem management nationallicence Optimal control nationallicence Policy nationallicence Fisher information nationallicence Multivariable nationallicence Doshi Rohan Princeton University, 08544, Princeton, NJ, USA aut Diwekar Urmila Department of Bioengineering, University of Illinois, 60607, Chicago, IL, USA aut Benavides Pahola Department of Bioengineering, University of Illinois, 60607, Chicago, IL, USA aut Yenkie Kirti Department of Bioengineering, University of Illinois, 60607, Chicago, IL, USA aut Cabezas Heriberto Department of Computer Science and Systems Technology, University of Pannonia, 8200, Veszprem, Hungary aut Clean Technologies and Environmental Policy Springer Berlin Heidelberg 17/6(2015-08-01), 1573-1583 1618-954X 17:6<1573 2015 17 10098 https://doi.org/10.1007/s10098-014-0889-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10098-014-0889-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Doshi Rohan Princeton University, 08544, Princeton, NJ, USA aut NATIONALLICENCE 700 1- Diwekar Urmila Department of Bioengineering, University of Illinois, 60607, Chicago, IL, USA aut NATIONALLICENCE 700 1- Benavides Pahola Department of Bioengineering, University of Illinois, 60607, Chicago, IL, USA aut NATIONALLICENCE 700 1- Yenkie Kirti Department of Bioengineering, University of Illinois, 60607, Chicago, IL, USA aut NATIONALLICENCE 700 1- Cabezas Heriberto Department of Computer Science and Systems Technology, University of Pannonia, 8200, Veszprem, Hungary aut NATIONALLICENCE 773 0- Clean Technologies and Environmental Policy Springer Berlin Heidelberg 17/6(2015-08-01), 1573-1583 1618-954X 17:6<1573 2015 17 10098