A Scientific Approach to Employ Monitoring and Modelling Techniques for Global Change and Terrestrial Ecosystems and Other Related Projects

Profound Changes in the Physical Environment of Lake Taihu From 25 Years of Long‐Term Observations: Implications for Algal Bloom Outbreaks and Aquatic Macrophyte Loss

“…Therefore, long-term observation data are vital for the monitoring and study of terrestrial and aquatic ecosystems and can provide unique perspectives on long-term patterns, processes, mechanisms, regulation, and management especially in rapidly changing environments driven by both intense anthropogenic activities and large-scale climate change (Daufresne et al, 2009;Jankowski et al, 2006;Lindenmayer et al, 2012;Rosenzweig et al, 2008). Currently, there are some global observation networks which already include the Global Climate Observing System, Global Terrestrial Observing System, and Global Ocean Observing System (Kozoderov, 1995;Miller & Bretherton, 1995;Smith, 1993). National observation networks include the U.S. Long-Term Ecological Research Network, UK Environmental Change Network, and Chinese Ecosystem Research Network (CERN;Clark et al, 2005;Fu et al, 2010;Hobbie et al, 2003); these programs were initiated and established in the 1980s and 1990s.…”

The Informational Content of Multispectral Space Imagery for Environmental Research

“…Below we obtain the values of the unconditional entropies, computed using expression (7) or (8) for the images of each of the three bends (1, I), (2,2), (3,3) of the MSU-E radiometer, and the conditional entropies, determined using expression (9), for each pair of bands (1,2), (1,3), and (2,3). The MSU-E images cover that part of Tver' Oblast that was used to elaborate the proposed methods in international experiments for assessing the state of forest and water resources.…”

Predictability problems of global change as seen through natural systems complexity description. 1. General Statements

“…The important attainment of Prigogine's theory (see Prigogine and Stengers, 1986; 1994) is that the theory has demonstrated by non-contradictory evidence the universal entropy increase for spontaneous natural processes as a reflection of objective properties of instability in dynamic systems (the upper limit of which are chaotic systems). We do not dwell here on thermodynamic and information properties of the entropy (Kozoderov, 1995), which are known to be formally equivalent (Volkenstein, 1986). Our main interest is concerned the information entropy and the consequent measures of uncertainty described by it.…”

“…In addition to the remarks concerning the conceptual SMM models application, one can say that besides a new sounding of such modelling techniques in data interpretation and analysis (Kozoderov, 1995), the SMM categories are meant to be a profitable tool in assessing state parameters of natural ecosystems using remotely sensed and ground-based data. On the eve of the Earth Observing System (EOS) era (see Earth Observing System, 1993), including GCOS, GOOS and GTOS as the Global Climate, Ocean and Terrestrial Observing Systems, respectively, the scientific community mostly relies on traditional applications of the giant amounts of data to be acquired from the Systems.…”