Guía para cubrir temas ambientales en época electoral

A 2022 guide for journalists to cover environmental issues during Colombia's presidential elections, highlighting critical areas such as Amazonian deforestation, the energy transition away from fossil fuels, and the protection of environmental defenders.

• Colombia faces significant deforestation challenges, with 171,685 hectares lost in 2020 according to IDEAM. The Amazon region is the most affected, and the National Natural Parks System lost 15,886 hectares in 2020, with the Tinigua National Natural Park being the most devastated with 5,708 hectares lost.
• The Colombian Amazon covers 44.3% of the national territory and is critical for global climate balance, storing approximately 130 billion tons of carbon. However, it faces a security crisis and high deforestation rates; between 2019 and 2020, deforestation increased by 48%, the highest extension since 2006.

APA

Transforma (2022). Guía para cubrir temas ambientales en época electoral. https://transforma.global/wp-content/uploads/2025/05/Guia-para-cubrir-temas-ambientales-en-elecciones-WWF-Transforma-Gaia-Amazonas.pdf

Chicago

Transforma. Guía para cubrir temas ambientales en época electoral. 2022. https://transforma.global/wp-content/uploads/2025/05/Guia-para-cubrir-temas-ambientales-en-elecciones-WWF-Transforma-Gaia-Amazonas.pdf.

Wikipedia

{{cite report |author=Transforma |title=Guía para cubrir temas ambientales en época electoral |date=April 2022 |url=https://transforma.global/wp-content/uploads/2025/05/Guia-para-cubrir-temas-ambientales-en-elecciones-WWF-Transforma-Gaia-Amazonas.pdf |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{transforma2022gua, author = {{Transforma}}, title = {{Guía para cubrir temas ambientales en época electoral}}, institution = {Transforma}, year = {2022}, month = apr, url = {https://transforma.global/wp-content/uploads/2025/05/Guia-para-cubrir-temas-ambientales-en-elecciones-WWF-Transforma-Gaia-Amazonas.pdf}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }