Human society has increased its capacity to exploit natural resources thanks to new technologies, which are one of the results of information exchange in the knowledge society. Many approaches to understanding the interactions between human society and natural systems have been developed in the last decades, and some have included considerations about information. However, none of them has considered information as an active variable or flowing entity in the human–natural/social-ecological system, or, moreover, even as a driving force of their interactions. This paper explores these interactions in socio-ecological systems by briefly introducing a conceptual frame focused on the exchange of information, matter, and energy. The human population is presented as a convergence variable of these three physical entities, and a population distribution model for Colombia is developed based on the maximum entropy principle to integrate the balances of related variables as macro-state restrictions. The selected variables were electrical consumption, water demand, and higher education rates (energy, matter, and information). The final model includes statistical moments for previous population distributions. It is shown how population distribution can be predicted yearly by combining these variables, allowing future dynamics exploration. The implications of this model can contribute to bridging information sciences and sustainability studies.
The road infrastructure produces several impacts on the environment. In the Colombian Caribbean region, the growing road infrastructure threatens systems equilibrium in diverse and not well-known ways. Despite the several administrative tools available in Colombian legislation to manage every project impact, the big picture of the interconnected regional ecosystems falls out of scope. To study the large-scale problems in landscape, we analyzed eight Environmental Impact Studies of road construction projects in the region. We did a scientific and institutional literature review to shed light on the possible unseen problems and future challenges. Results suggest that Environmental Impact Assessments for each project focus on construction processes, ignore accumulative and residual effects, and use typified measures to cover a broad set of impacts. We offer recommendations from an integrated analysis perspective for future projects to understand landscape and water systems alteration at the regional scale.
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