Landscape dynamics and

H. Frauenfelder, B.H. McMahon, R.H. Austin, K. Chu, and J.T. Groves, The role of structure, energy landscape, dynamics, and allostery in the enzymatic function of myoglobin. Proc. Natl. Acad. Sci. 98, 2370(2001). 

Leuven RSEW, Poudevigne I. 2002. Riverine landscape dynamics and ecological risk assessment. Freshwater Biol 47 845-865. 

In this chapter, we will look at the different types of software but be warned that software development is quite dynamic and the landscape may be very different when you come to read this section ... 

Skjemstad JO, Spouncer LR, Cowie B, Swift RS (2004) Calibration of the Rathamsted organic carbon turnover model using measurable soil organic carbon pools. Aus J Soil Res 42 79-88 Soon YK, Malhi SS (2005) Soil nitrogen dynamics as affected by landscape position and nitrogen fertilizer. Can J Soil Sci 85 579-587... 

Wiens, J.A. 1997. Metapopulation dynamics and landscape ecology. In Metapopulation Biology (I. Hanski and M.E. Gilpin, eds), pp. 43-62. Academic Press, San Diego. 

Relate the aspects of physician adoption to components of patient dynamics and various treatments in a competihve landscape... 

I will never forget the moment I landed in Rio de Janeiro, Brazil. As the plane descended, I was awed by the dynamic geography and the juxtaposition of the sea, the mountains, and the city s skyline. I absorbed the landscape further and my eyes focused on thefavelas mounted on the hillsides. 

Caraco, N., and J. Cole. 1999. Regional scale export of C, N, P and sediment What river data tell us about key controlling variables. In Integrating Hydrology, Ecosystem Dynamics, and Biogeochemistry in Complex Landscapes (J. D. Tenhunen and P. Kabat, Eds.). Wiley, New York. 

Costanza, R., Sklar, F.H., and White, M.L. (1990) Modeling coastal landscape dynamics. BioScience 40, 91-107. 

The correlation of the landscape measures the fitness similarity between a sequence and its d-mutant neighbors, where d is the number of mutations. As a sequence accumulates mutations, the fitness is increasingly altered. On smooth landscapes, the rate of fitness change is slow and therefore the landscape is correlated. Conversely, on rugged landscapes, the rate is more rapid and the landscape is uncorrelated. Studies of the relationship between fitness and distance have been used to quantitate the correlation among population ensembles on the RNA landscape (Fontana and Shuster, 1987), recombination dynamics (Born-holdt, 1998), and the success of genetic algorithms (Manderick et al., 1991 Jones and Forrest, 1995). 

In Section VII we conclude our results and discuss several issues arising from our proposals. We revisit our original motivation—that is, to find a simple model, in the sense of dynamical systems, that captures several common aspects of slow dynamics in liquid water, or more generally supercooled liquids or glasses. Our attempt is to make clear the relation and compatibility between the potential energy landscape picture and phase space theories in the Hamiltonian dynamics. Importance of heterogeneity of the system is discussed in several respects. Unclarified and unsolved points that still remain but should be considered as crucial issues in slow dynamics in molecular systems are listed. 

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