Recent Developments in Monitoring of Complex Population Systems

The paper is an update of two earlier review papers concerning the application of the methodology of mathematical systems theory to population ecology, a research line initiated two decades ago. At the beginning the research was concentrated on basic qualitative properties of ecological models, such as observability and controllability. Observability is closely related to the monitoring problem of ecosystems, while controllability concerns both sustainable harvesting of population systems and equilibrium control of such systems, which is a major concern of conservation biology. For population system, observability means that, e.g. from partial observation of the system (observing only certain indicator species), in principle the whole state process can be recovered. Recently, for different ecosystems, the so-called observer systems (or state estimators) have been constructed that enable us to effectively estimate the whole state process from the observation. This technique offers an efficient methodology for monitoring of complex ecosystems (including spatially and stage-structured population systems). In this way, from the observation of a few indicator species the state of the whole complex system can be monitored, in particular certain abiotic effects such as environmental contamination can be identified. In this review, with simple and transparent examples, three topics illustrate the recent developments in monitoring methodology of ecological systems: stock estimation of a fish population with reserve area; and observer construction for two vertically structured population systems (verticum-type systems): a four-level ecological chain and a stage-structured fishery model with reserve area.

[1]  Hubertus F. von Bremen,et al.  Mathematical modeling and control of population systems: Applications in biological pest control , 2008, Appl. Math. Comput..

[2]  V. Sundarapandian Local observer design for nonlinear systems , 2002 .

[3]  Zoltán Varga Applications of mathematical systems theory in population biology , 2008, Period. Math. Hung..

[4]  M Gámez,et al.  Observability in dynamic evolutionary models. , 2004, Bio Systems.

[5]  C. Mead,et al.  Linear Systems Theory , 2004 .

[6]  Eva Balsa-Canto,et al.  DOTcvpSB, a software toolbox for dynamic optimization in systems biology , 2009, BMC Bioinformatics.

[7]  Marat Rafikov,et al.  Impulsive Biological Pest Control Strategies of the Sugarcane Borer , 2012 .

[8]  Ross Cressman,et al.  A game-theoretic model for punctuated equilibrium: species invasion and stasis through coevolution. , 2006, Bio Systems.

[9]  Peeyush Chandra,et al.  A model for fishery resource with reserve area , 2003 .

[10]  Eva Balsa-Canto,et al.  Dynamic optimization of bioprocesses: efficient and robust numerical strategies. , 2005, Journal of biotechnology.

[11]  Zoltán Varga,et al.  Observation and control in a model of a cell population affected by radiation , 2009, Biosyst..

[12]  Richárd Kicsiny,et al.  Real-time state observer design for solar thermal heating systems , 2012, Appl. Math. Comput..

[13]  E B Lee,et al.  Foundations of optimal control theory , 1967 .

[14]  G. Farkas,et al.  Local controllability of reactions , 1998 .

[15]  G. Farkas,et al.  On local observability of chemical systems , 1998 .

[16]  Cleo Kontoravdi,et al.  Dynamic Optimization of Bioprocesses , 2012 .

[17]  Zoltán Varga,et al.  Iterative scheme for the observation of a competitive Lotka-Volterra system , 2008, Appl. Math. Comput..

[18]  M. El Bagdouri,et al.  Stabilization of an Exploited Fish Population , 2003 .

[19]  Sándor Molnár,et al.  OBSERVATION OF NONLINEAR VERTICUM-TYPE SYSTEMS APPLIED TO ECOLOGICAL MONITORING , 2012 .

[20]  Antonino Scarelli,et al.  Controllability of selection-mutation systems. , 2002, Bio Systems.

[21]  Ferenc Szigeti,et al.  NONLINEAR SYSTEM INVERSION APPLIED TO ECOLOGICAL MONITORING , 2002 .

[22]  Marat Rafikov,et al.  Mathematical modelling of the biological pest control of the sugarcane borer , 2012, Int. J. Comput. Math..

[23]  Sándor Molnár,et al.  On “verticum”-type linear systems with time-dependent linkage , 1994 .

[24]  A. Iggidr,et al.  On the stock estimation for some fishery systems , 2009, Reviews in Fish Biology and Fisheries.

[25]  J. AllenF,et al.  The American Naturalist Vol , 1897 .

[26]  Michael A. Arbib,et al.  Topics in Mathematical System Theory , 1969 .

[27]  J. Garay,et al.  Stock estimation, environmental monitoring and equilibrium control of a fish population with reserve area , 2012, Reviews in Fish Biology and Fisheries.

[28]  Ross Cressman,et al.  The effects of opportunistic and intentional predators on the herding behavior of prey. , 2011, Ecology.

[29]  G. Niemi,et al.  Community Ecology , 2013 .

[30]  Ali Shamandy Monitoring of trophic chains. , 2005, Bio Systems.

[31]  Ross Cressman,et al.  Ideal Free Distributions, Evolutionary Games, and Population Dynamics in Multiple‐Species Environments , 2004, The American Naturalist.

[32]  Sándor Molnár,et al.  Observability and observers in a food web , 2007, Appl. Math. Lett..

[33]  József Garay Many species partial adaptive dynamics. , 2002, Bio Systems.

[34]  Manuel Gámez,et al.  Optimization of Mean Fitness of a Population via Artificial Selection , 2003 .

[35]  A. Shamandy,et al.  Open- and closed-loop equilibrium control of trophic chains , 2010 .

[36]  J. G. Navarro On observability of Fisher's model of selection , 1992 .

[37]  I. López,et al.  Verticum-type systems applied to ecological monitoring , 2010, Appl. Math. Comput..

[38]  J Hofbauer,et al.  Evolutionary stability concepts for N-species frequency-dependent interactions. , 2001, Journal of theoretical biology.

[39]  Sándor Molnár,et al.  Monitoring environmental change in an ecosystem , 2008, Biosyst..

[40]  I. Lópeza,et al.  Observer design for phenotypic observation of genetic processes , 2007 .

[41]  M Gámez,et al.  Observability in strategic models of viability selection. , 2003, Bio Systems.

[42]  Ross Cressman,et al.  A predator-prey refuge system: Evolutionary stability in ecological systems. , 2009, Theoretical population biology.

[43]  Ross Cressman,et al.  Stability in N-species coevolutionary systems. , 2003, Theoretical population biology.

[44]  A. Shamandy,et al.  State monitoring of a population system in changing environment , 2003 .

[45]  S. Molnár,et al.  Stabilization of verticum-type systems , 1993 .

[46]  Zoltán Varga,et al.  Monitoring in a Lotka-Volterra model , 2007, Biosyst..

[47]  M Gámez,et al.  Equilibrium, observability and controllability in selection-mutation models. , 2005, Bio Systems.

[48]  Ross Cressman,et al.  Evolutionary stability in Lotka-Volterra systems. , 2003, Journal of theoretical biology.

[49]  Ben M. Chen,et al.  Linear Systems Theory: A Structural Decomposition Approach , 2004 .

[50]  Richárd Kicsiny,et al.  Real-time nonlinear global state observer design for solar heating systems , 2013 .

[51]  Manuel Angel Gámez Cámara,et al.  Observabilidad y controbilidad en modelos de evolución , 2003 .