Global Ecological Human Imprint, Sustainable Development and Environment: Assessment and Impacts

Authors

  • Safwat H. Shakir Hanna Texas Gulf Coast Environmental Data (TEXGED) Center, Chemical Engineering Department, Roy G. Perry, College of Engineering, Prairie View A&M University, The Texas A&M University
  • Kendal T. Harris Texas Gulf Coast Environmental Data (TEXGED) Center, Chemical Engineering Department, Roy G. Perry, College of Engineering, Prairie View A&M University, The Texas A&M University
  • Irvin W. Osborne-Lee Texas Gulf Coast Environmental Data (TEXGED) Center, Chemical Engineering Department, Roy G. Perry, College of Engineering, Prairie View A&M University, The Texas A&M University
  • Gian Paolo Cesaretti Università degli Studi di Napoli “Parthenope”, Dipartimento di Studi Economico Giuridici, Via G.Parisi - 13, Napoli, Italy.
  • Rosa Misso Università degli Studi di Napoli “Parthenope”, Dipartimento di Studi Economico Giuridici, Via G.Parisi - 13, Napoli, Italy.
  • Zacharoula S. Andreopoulou Aristotle University of Thessaloniki, Faculty of Forestry and Natural Environment- Lab of Forest Informatics, P. O. Box 247, 54124, Thessaloniki, Greece.

DOI:

https://doi.org/10.14207/ejsd.2014.v3n3p1

Abstract

Ecological Human Imprint (EHI), sustainability, and environment form three points of the
triangle of technology development. These three points when integrated are the key to
understanding how to improve global sustainability. The present research focuses on
assessment and impacts of global issues of sustainability of human activities. This research
uses modeling of these points and predicts the impacts of human activities on our global
Earth and its natural resources and in consequence, the economic and social impacts.
Further, the model uses assessments to develop suggestions about how to conserve our
global environment and natural resources for future generations. The model is constructed
on data collected and analyzed using published data from USA Agencies: United Nation
Agencies and other public published data from different countries in the world. Stella™
software is used in the development of the model to make the prediction for the next 100
years.
The results of research applying the model are presented in three scenarios. These
scenarios are formed applying (1) relaxed, (2) moderate, and (3) very conservative
assumptions. In addition to these scenarios, predictions are developed according to the
real-time data availability. According to the model, it is very important to maintain the
trend of more efficient use of natural resources. Additionally, the more widespread
education is very important to combat high demands for on natural resources and to
conserve existing resources for continuation of global ecosystems and to supply life on
Earth with the goods and services needed. Further, it is important to maintain the global
the regenerative biological capacities (i.e. renewable resources) of Earth, while conserving
(and developing new sources of) non-renewable resources. Finally, the model shows that
the nations should close the gaps between population growth and the economic
development.
Key Words: Ecology, natural resources, world population, sustainable development

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Published

2014-10-01

How to Cite

Shakir Hanna, S. H., Harris, K. T., Osborne-Lee, I. W., Cesaretti, G. P., Misso, R., & Andreopoulou, Z. S. (2014). Global Ecological Human Imprint, Sustainable Development and Environment: Assessment and Impacts. European Journal of Sustainable Development, 3(3), 1. https://doi.org/10.14207/ejsd.2014.v3n3p1

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