Study investigates the effect of large-scale land acquisitions on climate change

In 2007, an increase in world food prices led to a global rush for land in the form of land grabs or large-scale land acquisitions. Over the last two decades, such acquisitions have resulted in millions of hectares of land changing hands in developing nations.

Although such changeover can increase the cultivation of crops needed to feed the world's growing population and spark new agricultural practices and technologies, it can also lead to environmental degradation, increased carbon emissions and threats to the livelihoods of smallholder farmers.

The socioeconomic and environmental consequences of such large-scale land acquisitions have been studied, but the effect of land grabs on carbon emissions has not, at least until now.

In a newly published study in the journal Nature Food, researchers looked at what drives large-scale land acquisitions and how the implementation of large-scale land acquisitions for agricultural development affect carbon emissions, and in turn, climate change.

Overall, the findings suggest there is a cost-effective way to produce more food while minimizing carbon emissions from this process."

Chuan Liao, Study Lead Author, Assistant Professor, School of Sustainability, Arizona State University

"It's unrealistic to say that we can't convert more land given that the world's population is growing especially in developing countries, but we still must minimize carbon emissions while pursuing agricultural development," he said.

The study researchers analyzed countries that were engaged in over 1,000 transnational, large-scale land acquisitions. They identified three distinct geographic areas where land grabs take place including coastal West Africa and the East African Rift Valley; Southeast Asia; Central-South Latin America; and Eastern Europe and western Russia.

The study showed that the quest for resources, like arable land and water, drives large-scale land acquisitions. That is, countries with low or medium-low arable land availability are usually investors, whereas those with medium-high or high arable land serve as hosts, said Liao. Likewise, countries with less water scarcity often supply land, whereas those countries with higher water scarcity invest in land.

The researchers also estimated carbon emissions from nearly 1,500 cases of large-scale land acquisitions under two agricultural-development scenarios, including business as usual and enforcement of environmental regulations.

In analyzing those emissions, the researchers found that the business-as-usual scenario, that is, clearing all vegetation from 37 million hectares of land, would emit approximately 2.26 gigatons of carbon. In contrast, implementing environmental regulations to constrain land conversion and save high-carbon-value forests would reduce emissions to 0.81 gigatons.

The study also found that enforcing environmental regulation policies does not reduce the amount of land that can be used for agricultural development at the same proportion as the reduction in carbon emission.

"Instead, we allow agricultural development on lands that have lower carbon values," explained Liao. "Our strategy is to better manage these tradeoffs because food security and carbon emission mitigation are both important."

Source:
Journal reference:

Liao, C., et al. (2021) Carbon emissions from the global land rush and potential mitigation. Nature Food. doi.org/10.1038/s43016-020-00215-3.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of AZoLifeSciences.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.