The long-term relationship between population growth and vegetation cover: an empirical analysis based on the panel data of 21 cities in Guangdong Province, China

Clicks: 438
ID: 111500
2013
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Star

Ranked #37 of 862 articles by views in International journal of environmental research and public health

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 862 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
It is generally believed that there is an inverse relationship between population growth and vegetation cover. However, reports about vegetation protection and reforestation around the World have been continuously increasing in recent decades, which seems to indicate that this relationship may not b …
Reference Key
c2013internationalthe Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Li C;Kuang Y;Huang N;Zhang C;;
Journal International journal of environmental research and public health
Year 2013
DOI
DOI not found
URL
https://www.pubmed.gov/23435589/
Keywords
National Center for Biotechnology Information NCBI NLM MEDLINE China humans pubmed abstract nih national institutes of health national library of medicine models pmid:23435589 pmc3635169 doi:10.3390/ijerph10020660 chao li yaoqiu kuang chao zhang cities conservation of natural resources theoretical* plants* population growth* urbanization*

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.