In the Amazon Rainforest, a unique post-carbon plan to mitigate global warming and to protect the exceptional bio-cultural diversity was experimented in 2007–2013 by the Ecuadorian government. To preserve the rainforest ecosystems within the Yasuní-ITT oil block, the release of 410 million metric tons of CO2 would have been avoided. The neologism “yasunization” emerged as an Amazonian narrative on “unburnable carbon” to be replicated worldwide. Considering the unburnable carbon, petroleum-associated gas flaring represents the unleakable part. Flaring is an irrational practice that consists of burning waste gases, representing not only a leak of energy but also a pollution source. The general aim of the paper is to monitor gas flaring as a tool, revealing, at the same time, the implementation of environmental technologies in the oil sector and the compliance of sustainable policies in the Amazon region and the Yasuní Biosphere Reserve. Specific objectives are: (i) identifying and estimating gas flaring over seven years (2012–2018); (ii) mapping new flaring sites; iii) estimating potentially affected areas among ecosystems and local communities. We processed National Oceanic and Atmospheric Administration (NOAA) Nightfire annual dataset, based on the elaboration of imagery from the Visible Infrared Imaging Radiometer Suite (VIIRS) and developed a GIS-based novel simple method to identify new flaring sites from daily detections. We found that 23.5% of gas flaring sites and 18.4% of volumes of all oil industries operating in Ecuador are located within the Yasuní Biosphere Reserve (YBR). Moreover, we detected 34 additional flaring sites not included in the NOAA dataset—12 in the YBR and one in Tiputini field, a key area for biological and cultural diversity conservation. We also found that at least 10 indigenous communities, 18 populated centers and 10 schools are located in the potentially affected area. Gas flaring can be used as a policy indicator to monitor the implementation of sustainable development practices in complex territories.

The purpose of this research was to critically analyze the social license to operate (SLO) for an oil company operating in Block 10, an oil concession located in the Ecuadorian Amazon. The specific study area is an important biodiversity hotspot, inhabited by indigenous villages. A mixed-methods approach was used to support a deeper understanding of SLO, grounded in participants’ direct experience. Semi-structured interviews (N = 53) were conducted with village leaders and members, indigenous associations, State institutions, and oil company staff, while household surveys were conducted with village residents (N = 346). The qualitative data informed a modified version of Moffat and Zhang’s SLO model, which was tested through structural equation modelling (SEM) analyses. Compared to the reference model, our findings revealed a more crucial role of procedural fairness in building community trust, as well as acceptance and approval of the company. Procedural fairness was found to be central in mediating the relationship between trust and the effects of essential services provided by the company (medical assistance, education, house availability) and sources of livelihoods (i.e., fishing, hunting, harvesting, cultivating, and waterway quality). The main results suggested that the concept of SLO may not appropriately apply without taking into account a community’s autonomy to decline company operation. To enhance procedural fairness and respect for the right of community self-determination, companies may need to consider the following: Establishing a meaningful and transparent dialogue with the local community; engaging the community in decision-making processes; enhancing fair distribution of project benefits; and properly addressing community concerns, even in the form of protests. The respect of the free prior informed consent procedure is also needed, through the collaboration of both the State and companies. The reduction of community dependence on companies (e.g., through the presence of developmental alternatives to oil extraction) is another important requirement to support an authentic SLO in the study area.

In the Ecuadorian Amazon - one of Earth's last high-biodiversity wilderness areas and home to uncontacted indigenous populations – 50 years of widespread oil development is jeopardizing biodiversity and feeding environmental conflicts. In 2019, a campaign to eliminate oil-related gas flaring, led by Amazonian communities impacted by fossil fuel production, resulted in an injunction against the Ecuadoran Ministry of Energy and Non-Renewable Natural Resources and the Ministry of Environment and Water. On January 26, 2021 the Court of Nueva Loja issued a historical order to ban gas flaring in the Ecuadorian Amazon. The present Citizen Science project plaied an important role in this process, enabling the production of independent spatial information through participatory mapping with indigenous and farmer communities. Globally, lack of independent information about oil activities has led to the monitoring of gas flaring by satellite imagery, achieving remarkable results. However, apart from institutional and remotely sensed data, reliable spatial information on gas flaring in the Ecuadorian Amazon is not available. Therefore, we adopted the Community-Based Participatory Action Research approach to develop a Participatory GIS process, aiming both to provide reliable data and to support social campaigns for environmental and climate justice. This work presents the first participatory mapping initiative of gas flaring at a regional scale, carried out completely through open source data and software. Having identified 295 previously unmapped gas flaring sites through participatory mapping, we highlight that the extent of gas flaring activities is well beyond the official data provided by the Ecuadorian Ministry of Environment and NOAA Nightfire annual datasets, which map only 24% and 33% of the sites, respectively. 75 of the detected sites were in the Yasuní Biosphere Reserve. Moreover, 39 of the identified sites were venting instead of flaring, a phenomenon never before documented in the Ecuadorian Amazon. This study demonstrates that, because official datasets and satellite imagery underestimate the extent of gas flaring in the Ecuadorian Amazon, community-based mapping offers a promising alternative for producing trusted, community-based scientific data. This community-produced data can support campaigns for legal recognition of human rights and environmental justice in the Ecuadorian Amazon. Finally, this study shows how local environmental conflicts can foster policy transformations that promote climate justice.