# Deforestation Deforestation refers to the process by which forested areas are cleared, often to make way for agricultural or urban development. This activity results in the removal of trees and leads to habitat loss, altered ecosystems, and changes in the carbon cycle. The consequences of deforestation are complex, affecting biodiversity, climate change, and local communities. Effective management requires a comprehensive understanding of its drivers and impacts. In relation to data, technological advancements in satellite imaging and remote sensing enable precise monitoring of deforestation patterns. This data facilitates informed decision-making and helps devise strategies to mitigate its adverse effects. For more information about recent deforestation research, please consult the following resources: * [WorldCat](https://search.worldcat.org/search?&offset=1&q=Recent+studies+about+data+and+data+governance+and+Deforestation) * [Consensus](https://consensus.app/results/?synthesize=off&copilot=off&q=Recent+studies+about+data+and+data+governance+and+Deforestation) * [Google Scholar](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Recent+studies+about+data+and+data+governance+and+Deforestation) Our research team, partners, and the extended Network of the Datasphere have identified the following organizations working at the intersection of data or data governance and deforestation. We recognize this is a dynamic field and would appreciate your help to [[contact our research team|improve]] this resource.