Centro de Investigación para el Territorio y el Hábitat Sostenible

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Universidad Indoamérica

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From smartphones to satellites: Integrating citizen science and high-resolution environmental data for mapping plant invasions in urban mountain landscapes
(Elsevier BV, 2026-11)
Bonilla Bedoya, Santiago
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Salazar-Valenzuela, David
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Oleas Gallo, Nora Helena
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Buenaño, María Belén
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Quijano-Abril, Mario
Predicting the distribution of invasive species in urban mountain ecosystems is important for biodiversity conservation and effective management. We developed a sequential two-stage species distribution modelling framework to characterize habitat suitability for the invasive vine Thunbergia alata in the Metropolitan District of Quito and to evaluate the contribution of citizen science records, systematic field surveys, and multi-source environmental data. In the first stage, 637 iNaturalist occurrence records retained after quality control were combined with 12 bioclimatic variables from WorldClim to develop a preliminary MaxEnt model. The resulting habitat suitability map was classified into five categories and used to design a stratified field survey across the predicted suitability gradient. We sampled 1009 locations, obtaining 450 confirmed presences and 559 independent absence records. In the second stage, the field-derived occurrence data were used to develop a refined MaxEnt model incorporating the bioclimatic variables together with elevation, slope, land cover, VIIRS nighttime lights, NDVI, and the red spectral band. Environmental predictors were standardized to a common 5 m. spatial resolution and screened for multicollinearity. Both models were evaluated using receiver-operating characteristic analyses and AUC, with 10 replicate runs and 25% of occurrence records withheld for testing. Mean AUC values were 0.851 ± 0.012 and 0.902 ± 0.008 for the preliminary and refined models, respectively. In the preliminary model, habitat suitability was primarily associated with broad-scale climatic variables, particularly precipitation seasonality and temperature-related variables. In the refined model, nighttime light intensity and elevation showed the highest contributions and permutation importance, while NDVI and climatic variables also contributed to model predictions. Independent field validation showed that 47.2% of absence observations occurred in the two lowest suitability classes, whereas 33.5% occurred in areas classified as highly or very highly suitable. The refined model therefore captured substantial spatial variation in habitat suitability while also revealing areas of mismatch between predicted suitability and field observations. These results demonstrate the value of sequentially integrating citizen science, systematic field observations, and fine-resolution environmental predictors to improve invasive species mapping. This framework provides a practical approach for supporting targeted monitoring and management of invasive plants in complex urban mountain ecosystems. © 2026 The Authors.
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Tourism transport capacity under wildfire risk: A framework for highly visited protected areas
(Elsevier BV, 2026-09)
Ortega, M.
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Bonilla Bedoya, Santiago
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Molina, J.R.
Ecotourism is a major driver of rural development, particularly in natural protected areas. Existing approaches to estimating sustainable tourism capacity in these areas have focused primarily on physical, ecological, perceptual, and economic dimensions. However, these frameworks do not explicitly incorporate risks to people, vehicles, and infrastructure under wildfire scenarios. Given the global rise in large wildfires, this study develops a framework to quantify tourism transport capacity in a highly visited protected area. Tourism transport fire capacity is defined as the maximum number of vehicles permitted within a given sector to minimize wildfire exposure and potential impacts on infrastructure and assets. This capacity is determined by the interaction among structural infrastructure risk, tourism transport fire exposure, and the fire spread index. Under extreme fire spread conditions, results indicate that the number of vehicles during summer weekends should be reduced by 28–34% relative to current levels. Furthermore, when flame lengths exceed 4.3 m, 83.3% of the vegetation-free buffer strips tested in experimental burns fail to prevent impacts on infrastructure or vehicles. This study advances a risk-informed framework for integrating wildfire dynamics into tourism transport capacity assessments. The proposed approach should be incorporated into protected area management planning guidelines, in alignment with evolving fire regimes and regulatory requirements.
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Green synthesized silver nanoparticles act as algal growth inhibitors
(Springer Science and Business Media LLC, 2026-09-07)
Candreva, Angela
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Shoukat, Tayyaba
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Lauritano, Chiara
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Ruffolo, Silvestro Antonio
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Russa, Mauro Francesco La
Nanoparticles are increasingly being employed in a variety of industrial and environmental applications. In this study, we aimed to develop a sustainable method for synthesizing silver nanoparticles and to evaluate their potential as algal growth inhibitors. A seedless protocol was established using ascorbic acid and polyvinylpyrrolidone (PVP) to obtain spherical silver nanoparticles, thereby avoiding the use of strong reducing agents. The nanoparticles were characterized by UV-Vis spectroscopy, transmission electron microscopy (TEM), and IR spectroscopy. Since microalgae and other marine organisms often grow on the surfaces of boats, ships, and other human-made devices in aquatic environments, antifouling products are necessary to prevent unwanted fouling. The algal growth inhibition capacity of the synthesized silver nanoparticles was assessed using two marine diatoms Cylindrotheca Closterium and Skeletonema marinoi. The results revealed a marked inhibitory effect on algal proliferation in treated samples compared to controls. Overall, this study demonstrates the effectiveness of the proposed synthetic method and paves the way for the use of these silver nanoparticles as a tool for controlling microalgal growth. © The Author(s) 2026.
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A transition in the theoretical and methodological paradigms for the rehabilitation of hardened pyroclastic formations in tropical Andean landscapes
(Wiley, 2026-06-09)
Bonilla Bedoya, Santiago
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Zalakeviciute, Rasa
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Mejía‐Coronel, Danilo
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Silva, Gilson F.
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Molina, Juan R.
Introduction Global ecological restoration commitments face political, economic, and technical challenges that limit their implementation and long‐term success. Among the technical constraints, the lack of effective management and monitoring plans highlights the need for tools that support efficient and accurate spatial management of restoration landscapes. Objectives This study provides theoretical and methodological contributions to digital soil mapping (DSM) for the classification and local prediction of suitable microsites for vegetation establishment, with the aim of improving restoration efficiency in hardened pyroclastic formations ( cangahua ) of the Tropical Andes. Methods Unmanned aerial vehicles equipped with multispectral cameras were used to collect environmental data in a mountainous peri‐urban landscape dominated by cangahua . In a ravine sub‐landscape, 350 soil samples were collected at a depth of 0.15 m. Soil organic carbon (SOC) was analyzed and predictively modeled using two machine‐learning algorithms: Random Forest (RF) and Convolutional Neural Networks (CNNs). Results SOC exhibited substantial spatial variability, with minimum, mean, and maximum values of 0.69%, 2.48 ± 0.71%, and 4.33%, respectively. In DSM predictions of SOC, the CNN model showed better performance ( r 2 = 34.81%) than the RF model (out‐of‐bag error‐based coefficient of determination, r 2 OOB = 24%). The most influential variables in the CNN model were the red, near‐infrared, and blue spectral bands. Conclusions DSM proved effective for identifying spatial patterns of SOC and suitable restoration microsites in cangahua landscapes. At local scales, this approach provides valuable information on landscape structure, micro‐topography, and ecological and historical memory, improving understanding of how these factors interact to influence soil properties.
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Strengthening the Adoption of Copernicus Services in Latin America: Capacity Building Experiences in Ecuador and Bolivia
(2025)
Santos, Fabián
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Luisa Di Lucchio
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Manuel Múgica Barrera
The Copernicus program, an initiative by the European Union, offers open-access Earth observation data and high-level products through its services. However, these services are less well known in Latin America, underscoring the need to strengthen capacity-building efforts. In this context, this research examines the design and implementation of training workshops in Ecuador and panel discussions in Bolivia, focusing on the role of Copernicus Services in addressing regional challenges related to Environmental, Food Security, Climate Change, Security, and Risk Management through geospatial technologies. By tailoring training sessions in Ecuador to enhance stakeholders’ capabilities and conducting panel discussions in Bolivia to promote these services among public entities, this research highlights the successes and challenges of these initiatives. We emphasize the importance of flexible event design, alignment with local contexts, and the integration of interactive methodologies to enhance stakeholder engagement and learning outcomes. Additionally, differences and similarities between the event formats are discussed in terms of purposes and objectives, audience engagement, content delivery, attendance, and post-event outcomes. Finally, we outline the convergences and divergences in strategic priorities for future Copernicus Services training initiatives in both countries.
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Risk assessment of unlined oil pits leaking into groundwater in the Ecuadorian Amazon: A modified GIS-DRASTIC approach
(2022)
Durango-Cordero J.
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Saqalli M.
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Ferrant S.
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Bonilla S.
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Maurice L.
This study evaluates the risk of groundwater contamination from unlined oil pits, in the Northern Ecuadorian Amazon (NEA). Applying spatial analysis, several maps were provided for its integration in land use planning, public health improvement and future site-specific investigations. Two main maps were produced: (1) a vulnerability indexed map using a modified DRASTIC model and (2) a hazard map based on the past (1995–1997) and present (2018) contamination using a weighted density equation. The hazard was derived from hydrocarbon contained in oil pits associated with a cost-distance analysis to obtain different maximum distance ranges (MDR), to model the surface of potentially impacted groundwater. The results indicate a total calculated hydrocarbons of 39 052 tons. A MDR from 500–10 000 km was retained to map aquifers at risk, the maximum surface potentially at risk covers 13% of the NEA, while 83% of the area represents low to medium-low vulnerability. This study led to several recommendations, such as the level of suitability of the available information, and what gaps should be filled to improve future research. A surface of 271–766.5 km in the 500-2000-m distance range should be prioritised for finer scale risk assessment. © 2021 Elsevier Ltd
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Spatial and temporal trends of surface urban heat islands in the Andean city of Cuenca, Ecuador
(Elsevier BV, 2026-09)
Alvarez, Hermel
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Zalakeviciute, Rasa
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Bonilla Bedoya, Santiago
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Mejía C, Danilo
This study aims to assess the long-term spatio-temporal dynamics and magnitude of the Surface Urban Heat Island (SUHI) in the intermediate, high-altitude Andean city of Cuenca, Ecuador (∼2560 m a.s.l.). This research addresses a significant gap in urban climatology by analyzing the SUHI evolution over 34 years, utilizing Landsat data from 1989 to 2022. The analysis focused on the correlation between Landsat-derived Land Surface Temperature (LST) and key biophysical indices: the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Built-up Index (NDBI), which serve as proxies for characterizing surface cooling and warming mechanisms, respectively. The results confirm a strong and intensifying SUHI effect in Cuenca, characterized by a net increase of 1.28 °C in SUHI Intensity (SUHII) over the study period, rising from 4.47 °C (1989) to 5.75 °C (2022). Urban areas consistently exhibited mean temperatures 4.47–5.75 °C higher than surrounding unurbanized regions. The mechanisms driving this thermal anomaly are confirmed by strong correlations: LST exhibits a negative correlation with NDVI (R2 = 0.22 to 0.59), suggesting that vegetative cover provides evaporative cooling, while the strong positive correlation with NDBI (R2 = 0.47 to 0.59) indicates that the increase in impervious, thermally massive surfaces contributes significantly to SUHI intensification. These findings provide specific evidence for the magnitude and long-term trend of surface warming within a high-altitude Andean environment, underscoring the necessity of adopting climate-responsive urban planning measures centered on green infrastructure and surface material selection to mitigate the escalating SUHI effect in this context. Copyright © 2026. Published by Elsevier Ltd.
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Impacts of soil erosion and climate change on the built heritage of the Pambamarca Fortress Complex in northern Ecuador
(2023)
Santos F.
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Calle N.
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Bonilla S.
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Sarmiento F
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Herrnegger M.
The Pambamarca fortress complex in northern Ecuador is a cultural and built heritage with 18 prehispanic fortresses known as Pucaras. They are mostly located on the ridge of the Pambamarca volcano, which is severely affected by erosion. In this research, we implemented a multiscale methodology to identify sheet, rill and gully erosion in the context of climate change for the prehistoric sites. In a first phase, we coupled the Revised Universal Soil Loss Equation (RUSLE) and four CMIP6 climate models to evaluate and prioritize which Pucaras are prone to sheet and rill erosion, after comparing historical and future climate scenarios. Then, we conducted field visits to collect geophotos and soil samples for validation purposes, as well as drone flight campaigns to derive high resolution digital elevation models and identify gully erosion with the stream power index. Our erosion maps achieved an overall accuracy of 0.75 when compared with geophotos and correlated positively with soil samples sand fraction. The Pucaras evaluated with the historical climate scenario obtained erosion rates ranging between 0 and 20 ton*ha-1*yr-1. These rates also varied from -15.7% to 39.1% for four future climate change models that reported extreme conditions. In addition, after identifying and overflying six Pucaras that showed the highest erosion rates in the future climate models, we mapped their gully-prone areas that represented between 0.9% and 3.2% of their analyzed areas. The proposed methodology allowed us to observe how the design of the Pucaras and their concentric terraces have managed to reduce gully erosion, but also to notice the pressures they suffer due to their susceptibility to erosion, anthropic pressures and climate change. To address this, we suggest management strategies to guide the protection of this cultural and built heritage landscapes. © 2023 Santos et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Sentinel satellite data monitoring of air pollutants with interpolation methods in Guayaquil, Ecuador
(2023)
Mejía C. D.
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Alvarez H.
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Zalakeviciute R.
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Macancela D.
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Sanchez C.
In Ecuador, there is a limitation on air quality monitoring due to the cost of monitoring networks. Although air quality monitoring stations are instruments for air measurement, they do not cover an entire city due to their scope. Satellite remote sensing is now an effective tool to study atmospheric pollutants and has been applied to continuously assess a region and overcome the limitations of fixed stations. Despite the application of satellite data for air quality monitoring, there are some limitations, such as measurement frequency, cloud cover and wide spatial resolution, which do not allow the assessment of air pollution in cities. Therefore, downscaling, applying interpolation methods, is essential for continuous air quality monitoring at smaller scales. For this research, Nitrogen Dioxide (NO2) data from the Sentinel-5 satellite percussor was used in the city of Guayaquil for January–December 2020, which is considered before, during and after the COVID-19 quarantine. This mid-size port city does not have a permanent monitoring network, which prevents us from knowing the air quality. Due to the limitation of pixel size, this study used satellite data to apply interpolation techniques and reduce pixels to assess air quality. Two categories of interpolation were selected: deterministic and stochastic. The empirical Bayesian kriging (EBK) interpolation obtained a R2 of 0.9546, which was superior to the other methods applied. Therefore, the EBK method had the best accuracy for tropospheric NO2 concentration. Finally, the method used in this research can help monitor air quality in cities lacking continuous monitoring networks, as the reduction of the pixel size gives us a better pattern of pollutants. © 2023 The Authors
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Microalgal Diversity in the Ecuadorian Tropical Andes and Its Association with Abiotic Factors
(2025)
María Cristina Guamán-Burneo
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Nory González-Romero
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Santillán Sarmiento, Alex
The Ecuadorian Tropical Andes serve as vital biodiversity hotspots, crucial for hosting and preserving unique endemic species. While numerous taxonomic groups within these hotspots have been extensively studied, microalgae remain relatively unknown. This study aimed to document the microalgal diversity of Tropical Andean lakes in Ecuador and its relationship with abiotic environmental factors. Water samples were collected from 28 lakes throughout 10 conservation areas, spanning different altitudes in the Ecuadorian Tropical Andes, along with water physical/chemical data. A total of 92 microalgal genera were identified, spanning Bacillariophyta, Chlorophyta, Glaucophyta, Ocrophyta, Cyanophyta, and Euglenophyta. Lakes such as Rodeococha, Anteojos, Chinchillas, Toreadora, Magdalena, and La Mica exhibited the highest richness of microalgal genera. A positive association between temperature and the majority of microalgal phyla, except Glaucophyta, was observed. On the other hand, negative correlations were observed between total dissolved solids and water conductivity with microalgal biodiversity. Additionally, all groups displayed negative associations with pH, except Glaucophyta. The Jaccard similarity index was low among lake communities in agreement with the uniqueness of genera found in some lakes. This study represents a fundamental baseline for future investigations into Ecuador’s microalgal diversity and its relationship with abiotic environmental factors in the delicate freshwater ecosystems of Tropical Andean lakes.
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