CLIMATE-SMART PHOTOSYNTHESIS: INTEGRATING BOTANY AND ENVIRONMENTAL MODELING

Abstract

This paper examines the possibility of botanical science and environmental models to collaborate in an effort to develop superior climate-smart photosynthesis techniques to grow crops in a manner that is acceptable to the environment.  The work applies both real life studies on plant physiology research and computer climate models in an attempt to test and fix the performance of photosynthesis across various climatic conditions.  We determined the degree to which photosynthetic capacities varied with changes in temperature, light intensity and CO 2 concentration both in controlled and field situations. This indicated that several means of increasing the carbon uptake and water-use efficiencies are possible.  We ran environmental model to determine the performance of plants under various climatic scenarios of change. This was useful to identify the best possibilities of combinations of photosynthetic characters to achieve resilience and stable yield.  Findings indicated that specific optimization strategies enhanced biomass yield and stabilized yields as well as provided plants stability to stress in diverse weather conditions.  The merger of real-life physiological data with simulation-based data model prediction was effective in providing details to establish crops that would be able to resist the climate change.  This paper indicates the value of the application of diverse areas engaged in, e.g., plant science, genetics, and environmental modeling to assist farmers to cope with climate change in a manner that is environment-friendly.