Mapping the 1.6 billion people who live near forests

September 18, 2020

Global maps of places where people and forests coexist show that an estimated 1.6 billion people live within 5 kilometers of a forest. The assessment, based on data from 2000 and 2012 and published September 18 in the journal One Earth, showed that of these 1.6 billion "forest-proximate people," 64.5 percent were located in tropical countries, and 71.3 percent lived in countries classified as low or middle income by the World Bank.

"There were no data at all on how many people live in and around forests globally," says first author Peter Newton, an Assistant Professor in Environmental Studies at the University of Colorado Boulder. "The exercise was an initial step of trying to quantify the potential target population for projects that look at people's livelihoods in a forest environment."

People who rely on forest resources for subsistence or income are commonly known as forest-dependent people. Although the number of forest-proximate people coincidently matches the 1.6 billion forest-dependent people from a widely cited estimation from the World Bank, living near the forest doesn't necessarily mean one relies on the forest for livelihood. Newton says that while "forest-dependent people" widely refers to people who derive some benefits from forests, the term "forest-proximate people" merely captures the spatial relationship between people and forests.

"Large numbers of people do live in and around forests, so that makes forests an important habitat and biome for thinking about sustainable development as well as about conservation," says Newton. "The programs, projects, and policies that affect forests also affect large numbers of people."

To map out the spatial relationship between people and forests globally, Newton and his colleagues combined forest cover and human population density data for the year 2000 and 2012. They counted the number of people who lived within 5 km (3.1 miles) from the border of forests, which they defined as any area with more than 50 percent tree cover over 2 hectares (5 acres). But they excluded urban areas with a population above 1,500 people per square kilometer (0.4 square miles).

The work provides a sketch to which other researchers and decision-makers could add on different layers of data, such as social, economic, or cultural details to paint a more complete picture. However, many of these datasets aren't available at a global level.

"What other researchers or we could do in the future is home in on a particular region where we did have data," says Newton. From local data, scientists could infer how many of those forest-proximate people were also forest dependent or living in poverty to help decision-makers implement spatial targeting and impact assessment.
-end-
The researchers were supported by the Department for International Development, the USDA National Institute of Food and Agriculture, the European Union, the International Forestry Resources and Institutions, and the Forests and Livelihoods: Assessment, Research, and Engagement (FLARE) community of practice.

One Earth, Newton et al.: "The Number and Spatial Distribution of Forest-Proximate People Globally" https://www.cell.com/one-earth/fulltext/S2590-3322(20)30425-5

One Earth (@OneEarth_CP), published by Cell Press, is a monthly journal that features papers from the fields of natural, social, and applied sciences. One Earth is the home for high-quality research that seeks to understand and address today's environmental Grand Challenges, publishing across the spectrum of environmental change and sustainability science. Visit http://www.cell.com/one-earth. To receive Cell Press media alerts, contact press@cell.com.

Cell Press

Related Data Articles from Brightsurf:

Keep the data coming
A continuous data supply ensures data-intensive simulations can run at maximum speed.

Astronomers are bulging with data
For the first time, over 250 million stars in our galaxy's bulge have been surveyed in near-ultraviolet, optical, and near-infrared light, opening the door for astronomers to reexamine key questions about the Milky Way's formation and history.

Novel method for measuring spatial dependencies turns less data into more data
Researcher makes 'little data' act big through, the application of mathematical techniques normally used for time-series, to spatial processes.

Ups and downs in COVID-19 data may be caused by data reporting practices
As data accumulates on COVID-19 cases and deaths, researchers have observed patterns of peaks and valleys that repeat on a near-weekly basis.

Data centers use less energy than you think
Using the most detailed model to date of global data center energy use, researchers found that massive efficiency gains by data centers have kept energy use roughly flat over the past decade.

Storing data in music
Researchers at ETH Zurich have developed a technique for embedding data in music and transmitting it to a smartphone.

Life data economics: calling for new models to assess the value of human data
After the collapse of the blockchain bubble a number of research organisations are developing platforms to enable individual ownership of life data and establish the data valuation and pricing models.

Geoscience data group urges all scientific disciplines to make data open and accessible
Institutions, science funders, data repositories, publishers, researchers and scientific societies from all scientific disciplines must work together to ensure all scientific data are easy to find, access and use, according to a new commentary in Nature by members of the Enabling FAIR Data Steering Committee.

Democratizing data science
MIT researchers are hoping to advance the democratization of data science with a new tool for nonstatisticians that automatically generates models for analyzing raw data.

Getting the most out of atmospheric data analysis
An international team including researchers from Kanazawa University used a new approach to analyze an atmospheric data set spanning 18 years for the investigation of new-particle formation.

Read More: Data News and Data Current Events
Brightsurf.com is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com.