Sustainability of Agricultural Plants under Fluctuations of Environmental Conditions: Physiological Bases, Monitoring, Simulation, and Prediction

Dear Colleagues,

Instability is the key characteristic of the environment, which is additionally stimulated by global climate changes. Parameters of many factors (light intensity, temperature, humidity, etc.) can fluctuate in time scale from seconds to years. In contrast to periodical changes in environmental conditions, fluctuations are of a stochastic character and an important problem when it comes to achieveing sustainability in the cultivation of agricultural plants. This Special Issue of Sustainability will be focused on several important points related to this problem. The first point is the investigations of mechanisms of plant adaptations to environmental fluctuations in different time scales. Revealing these mechanisms can provide a basis for the management of plant tolerance to environmental fluctuations. Development of new methods of increase of this tolerance is also an important part of the investigated problem. The second point is the development of approaches to monitor environmental fluctuations on agricultural plants. Early identification of what causes these fluctuations forms the basis for the timely use of methods of plant protection. The third point is development of mathematical models simulating responses of agricultural plants to fluctuations in environmental conditions. Analysis of the models can be used for various tasks, including prediction of crop loses under fluctuations of specific environmental factors, revelation of potentially effective ways for increase of plant tolerance, and interpretation of data of plant monitoring. Finally, it should be noted that the problem of sustainability of agricultural plants under environmental fluctuations is complex and multidisciplinary. The main aim of the Special Issue is to highlight different aspects of this problem and their interactions.

Dr. Vladimir Sukhov
Guest Editor

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• sustainability of agricultural plants
• environmental fluctuations
• adaptation mechanisms
• plant monitoring
• simulation of plant responses