Version 1
: Received: 1 April 2023 / Approved: 3 April 2023 / Online: 3 April 2023 (05:17:10 CEST)
How to cite:
Ding, Y. Assessing Human Influence on Ecological Dynamics: A Study of Anthropogenic Ecology and Impact Measurement. Preprints2023, 2023040008. https://doi.org/10.20944/preprints202304.0008.v1
Ding, Y. Assessing Human Influence on Ecological Dynamics: A Study of Anthropogenic Ecology and Impact Measurement. Preprints 2023, 2023040008. https://doi.org/10.20944/preprints202304.0008.v1
Ding, Y. Assessing Human Influence on Ecological Dynamics: A Study of Anthropogenic Ecology and Impact Measurement. Preprints2023, 2023040008. https://doi.org/10.20944/preprints202304.0008.v1
APA Style
Ding, Y. (2023). Assessing Human Influence on Ecological Dynamics: A Study of Anthropogenic Ecology and Impact Measurement. Preprints. https://doi.org/10.20944/preprints202304.0008.v1
Chicago/Turabian Style
Ding, Y. 2023 "Assessing Human Influence on Ecological Dynamics: A Study of Anthropogenic Ecology and Impact Measurement" Preprints. https://doi.org/10.20944/preprints202304.0008.v1
Abstract
The current epoch, known as the Anthropocene, is characterized by significant human impact on the global ecological system, including altered species survival and distribution patterns due to global warming resulting from industrialization. Accurately quantifying and assessing the extent of human impact on the environment is of utmost importance. To this end, four primary methods have been developed to measure human impact: (1) ecological footprint, (2) Human appropriation of net primary production (HANPP), (3) Planetary boundary, and (4) Living Planet Index. In this paper, we aim to provide a comprehensive understanding of these methods, including their strengths and weaknesses, to evaluate their efficacy in accurately assessing the impact of human activities on the global ecosystem. Furthermore, we explore the potential of utilizing novel machine learning modelling for future predictions in this area. By analyzing and comparing these methods, we can gain insight into the ways in which human activities impact the environment and use this knowledge to inform future policies and practices to mitigate negative effects.
Keywords
Anthropocene; Ecological system; Human impacts; Artificial intelligence; Machine learning
Subject
Environmental and Earth Sciences, Ecology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
