In the light of the 21st century, after two devastating world wars, humanity still has not learned to solve their conflicts through peaceful negotiations and dialogue. Armed conflicts, both international and within a single state, still cause devastation, displacement, and death all over the world. Not to mention the consequences that war has on the environment. Due to a lack of published research about war impact on modern air quality, this work studies air pollution evolution during the first months of the Russian-Ukrainian conflict. Satellite images of NO₂, CO, O₃, SO₂, and PM_2.5 over Ukrainian territory and PM_2.5 land monitoring data for Kyiv were analyzed. The results showed that NO₂ and PM_2.5 correlated the most with war activities. CO and O3 levels increased, while SO₂ concentrations reduced four-fold as war intensified. Drastic increases in pollution (especially PM_2.5) from bombing and structural fires, raise additional health concerns, which might have serious implications for the exposed local and regional populations. This study is an invaluable proof of the impact any armed conflict has on air quality, the population, and environment.

Global emergence of Rights of Nature (RoN) has gained momentum since Ecuador became the first country to constitutionally recognize it in 2008. The shift from perceiving nature as an object, to granting it legal subjecthood, can revolutionize protection of ecological systems. In 2021, Ecuador's Constitutional Court issued a landmark ruling, halting mining in the Los Cedros Protected Forest. Three pillars form the basis for legal protection of Los Cedros: (i) the right to timely, Free Prior Informed Environmental Consultation, (ii) application of the Precautionary Principle in risk to RoN, and (iii) the Right to Water. We analyse the Court ruling to identify legal frameworks applied then map and rank mining risk to other protected forests, Indigenous territories, unprotected native ecosystems, biodiversity and areas of water resource conflict to determine potential scale of conflict between mining and RoN. 7813 mining concessions of 22,812km² overlay 9.2% of Ecuadorian mainland, 2323 concessions (29.7%) overlap 16,081km² of protected forest (4781 km², 20%), Indigenous territory (6473 km², 8%) and native vegetation outside protected areas and Indigenous territories (13,390 km², 9%). With 80% of their protected forests at risk from large‐scale mining, the most impacted Indigenous communities are the Shuar. Synthesis and applications: The Los Cedros legal case in Ecuador sets a precedent for using RoN to challenge mining in 4781 km² of similar Protected Forest, with potential to protect an additional 16,081 km² of Indigenous lands and biologically important ecosystems. However, lack of biological data for these areas will necessitate extensive data collection, possibly through community‐empowering citizen science. Our study emphasizes the urgent need to integrate indigenous and traditional ecological knowledge (ITEK), law and ecology. We propose a new transdisciplinary field of ‘ecological forensics’ to support nature protection within the RoN framework. Our research also identifies areas where RoN could effectively protect nature and that are likely to be of high investment risk for the mining industry. The final recommendation is to reconsider mining concessions in Ecuador, especially in ecologically sensitive areas, Indigenous territories, high biodiversity areas, and regions with water resource conflicts, to maintain ecological integrity and social harmony. Read the free Plain Language Summary for this article on the Journal blog.

Artificial light at night (ALAN) has positive and negative effects on social, economic, environmental, and ecological systems, and will increase with urban expansion. In this study, we used a multi-spectral 1.5 m resolution night-time acquisition from a Jilin-1 satellite over the city of Quito, Ecuador, to evaluate spatial lighting patterns in an expanding and topography complex-built environment. We demonstrated a requirement for robust georeferencing and orthorectification due to the complex topography, with errors on the order of 4–6 pixels (5.8–8.4 m CE95). We also quantified differences in observed brightness due to the image acquisition and local geometry. Street light type was distinguishable between high-pressure sodium (HPS) and light emitting diode (LED) sources (F1-score = 0.72–0.83) using a shark random forest decision tree approach. Additionally, street lights could be located within 10 m (F1-score = 0.71) with balanced omissions and commissions. Spatial trends revealed that the road network was the dominant source of illumination, accounting for 45% of illuminated pixels, whereas built-up areas accounted for 23%. Overall, 68% of all illuminated pixels were on or within 10 m of the road. Higher socio-economic development was associated with higher proportions of LED lighting, greater road network lighting and density of street lights, higher overall radiance for built-up areas and the road network, and greater coverage and illumination of designated green spaces. The broad impacts of ALAN mean that addressing the causes and consequences of lighting inequalities is a complex issue. Nonetheless, Jilin-1 night-time imagery offers a low-cost way to map and monitor light sources at high-resolution that will be beneficial to city-planners and progressing Sustainable Development Goals.

The concentration of gases in the atmosphere is a topic of growing concern due to its effects on health, ecosystems etc. Its monitoring is commonly carried out through ground stations which offer high precision and temporal resolution. However, in countries with few stations, such as Ecuador, these data fail to adequately describe the spatial variability of pollutant concentrations. Remote sensing data have great potential to solve this complication. This study evaluates the spatiotemporal distribution of nitrogen dioxide (NO₂) and ozone (O₃) concentrations in Quito and Cuenca, using data obtained from ground-based and Sentinel-5 Precursor mission sources during the years 2019 and 2020. Moreover, a Linear Regression Model (LRM) was employed to analyze the correlation between ground-based and satellite datasets, revealing positive associations for O₃ (R² = 0.83, RMSE = 0.18) and NO₂ (R² = 0.83, RMSE = 0.25) in Quito; and O₃ (R² = 0.74, RMSE = 0.23) and NO₂, (R² = 0.73, RMSE = 0.23) for Cuenca. The agreement between ground-based and satellite datasets was analyzed by employing the intra-class correlation coefficient (ICC), reflecting good agreement between them (ICC ≥0.57); and using Bland and Altman coefficients, which showed low bias and that more than 95% of the differences are within the limits of agreement. Furthermore, the study investigated the impact of COVID-19 pandemic-related restrictions, such as social distancing and isolation, on atmospheric conditions. This was categorized into three periods for 2019 and 2020: before (from January 1st to March 15th), during (from March 16th to May 17th), and after (from March 18th to December 31st). A 51% decrease in NO₂ concentrations was recorded for Cuenca, while Quito experienced a 14.7% decrease. The tropospheric column decreased by 27.3% in Cuenca and 15.1% in Quito. O₃ showed an increasing trend, with tropospheric concentrations rising by 0.42% and 0.11% for Cuenca and Quito respectively, while the concentration in Cuenca decreased by 14.4%. Quito experienced an increase of 10.5%. Finally, the reduction of chemical species in the atmosphere as a consequence of mobility restrictions is highlighted. This study compared satellite and ground station data for NO₂ and O₃ concentrations. Despite differing units preventing data validation, it verified the Sentinel-5P satellite's effectiveness in anomaly detection. Our research's value lies in its applicability to developing countries, which may lack extensive monitoring networks, demonstrating the potential use of satellite technology in urban planning.