Resumen de Collaborative Proposal Development Towards Sustainable Communities
James Furze, Quanmin Zhu-, Feng Qiao
Sustainable communities require consideration from different perspectives. Maintaining a sustainable community using a systematic approach enables the meeting of multiple objectives benefitting ecological systems and human populations, who are dependent on the stability of them. We list examples of interdisciplinary research, benefitting collaborative proposal formation and generating and sustaining wide audiences within research and in communities. Mathematic integrated algorithm construction details qualitative characteristics of plant species integration into common models and quantification to dictate a control strategy based approach of relevance to over 300 000 plant species. Field-data simulations formed use genetic programming techniques and functional mathematic approximation via Gaussian process models. Implemented algorithms were made use of as the modeling basis on which we developed a geographic information system (GIS), summarizing plant distribution using principal variables of the water-energy dynamic. The primary metabolic process of plants was ordered within each of the 7 plant strategy environments. Dominance of 3 carbon photosynthesis was seen in ruderal through stress tolerant-ruderal to competitive-ruderal environments where water is the key part of the water-energy dynamic in effect. Dominance of 4 carbon photosynthesis was found in competitive and competitive-stress tolerant-ruderal environments. Dominance of crassulacean acid metabolism was found in competitive-stress tolerant and stress tolerant environments where energy is the key part of the water-energy dynamic in effect. Algorithms were tested by varying the dynamic variables inputted into the models, in which case the refined mathematic technique resulted in an incorrect summation. In conclusion control strategy offered a viable approach to describe plant characteristics using concise statements. It assisted in development of a modeled GIS to use as a tool for policy makers. The algorithmic basis of the GIS has great potential in simulation development. Linking of different time scenario climatic data, topographic data, image processing, map processing, species occurrence records and finally digital mapping enhance novel software formulation for design of control systems with both mathematical and geographical global inferences. Collaborative proposals between international research departments in control science, geography, operational research, plant science, computing / machine vision, co-operative systems and environmental planning law have potential subject unification, providing strong recommendations of policy formation with socio-economic connotations. These areas are key to motivating multi-participation in future research, which ensures natural and human sustainable communities in different settings.
