China has added forest the size of Texas since 1990 (e360.yale.edu)

Article summary

China has added over 170 million acres of forest since 1990, an area roughly the size of Texas, according to a new U.N. report. This is part of a larger trend where forests are regrowing in richer countries, including the U.S., Canada, Russia, and much of Europe. The report also notes that the world has lost around 20 million acres of forest per year for the past several years, mainly due to deforestation for farming and ranching. China's reforestation efforts have been driven by aggressive tree-planting programs, including a 2,000-mile-long belt of trees around the Taklamakan Desert.

Main themes

• Reforestation efforts
• Deforestation trends
• Environmental conservation
• Economic development
• Sustainable land use
• Global forest cover

What commenters say

• As countries become richer, they tend to become more environmentally conscious and invest in reforestation efforts.
• The relationship between economic development and environmental conservation is complex, and increased wealth does not necessarily lead to improved environmental outcomes.
• Urbanization can lead to increased forest cover as people move away from rural areas and no longer rely on subsistence farming.
• The quality and type of vegetation being added through reforestation efforts is an important consideration, and not all newly planted trees may be suitable for the local environment.
• Developing countries may be able to leapfrog traditional infrastructure development and adopt more sustainable technologies, such as solar power, due to limited existing infrastructure.
• India's reforestation efforts are not as systematic or effective as China's, and more needs to be done to harness knowledge and expertise in a coordinated way.
• The impact of human activity on the environment is a complex issue, and both positive and negative trends can be observed in different parts of the world.
• The measurement and reporting of forest cover and reforestation efforts can be subject to methodological limitations and biases.