Deforestation and world population sustainability: a quantitative analysis
- Submitting institution
-
Goldsmiths' College
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 3408
- Type
- D - Journal article
- DOI
-
10.1038/s41598-020-63657-6
- Title of journal
- Scientific Reports
- Article number
- 7631
- First page
- -
- Volume
- 10
- Issue
- -
- ISSN
- 2045-2322
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2020
- URL
-
http://research.gold.ac.uk/id/eprint/28728/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- By combining a mathematical generalised logistic model for humans-forest interaction and numerical stochastic simulations, the authors were able to predict the likelihood of a catastrophic drop in population due to the effects of deforestation and the timescale for its occurrence. This paper has attracted attention academically and stirred a debate in the public domain. It recorded more than 90,000 accesses on nature.com website and was cited by several media outlets. The authors were invited for interviews on national radio in New Zealand and for debates at the University of Exeter.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -