Search Results (21)

Woody plant encroachment (WPE) is transforming grasslands globally, yet accurately mapping this process remains challenging. State-funded, publicly available high-resolution aerial imagery offers a potential solution, including the USDA’s National Agriculture Imagery Program (NAIP) and NSF’s National Ecological Observatory Network (NEON) Aerial Observation Platform (AOP). We evaluated the accuracy of land cover classification using NAIP, NEON, and both sources combined. We compared two machine learning models—support vector machines and random forests—implemented in R using large training and evaluation data sets. Our study site, Konza Prairie Biological Station, is a long-term experiment in which variable fire and grazing have created mosaics of herbaceous plants, shrubs, deciduous trees, and evergreen trees (Juniperus virginiana). All models achieved high overall accuracy (>90%), with NEON slightly outperforming NAIP. NAIP underperformed in detecting evergreen trees (52–78% vs. 83–86% accuracy with NEON). NEON models relied on LiDAR-based canopy height data, whereas NAIP relied on multispectral bands. Combining data from both platforms yielded the best results, with 97.7% overall accuracy. Vegetation indices contributed little to model accuracy, including NDVI (normalized digital vegetation index) and EVI (enhanced vegetation index). Both machine learning methods achieved similar accuracy. Our results demonstrate that free, high-resolution imagery and open-source tools can enable accurate, high-resolution, landscape-scale WPE monitoring. Broader adoption of such approaches could substantially improve the monitoring and management of grassland biodiversity, ecosystem function, ecosystem services, and environmental resilience. Full article

Urbanization is reshaping landscapes and posing unprecedented sustainability challenges, necessitating more integrative approaches to urban observation. This review synthesizes recent advancements in traditional remote sensing and emerging social sensing technologies, emphasizing their convergence within urban science. A systematic thematic analysis of 667 peer-reviewed articles highlights the methodological progress, practical applications, and theoretical innovations arising from this integration. Traditional remote sensing effectively captures urban physical features but lacks insights into human behaviors. Conversely, social sensing, leveraging digital traces from social media and mobile data, introduces essential human-centered dimensions into urban monitoring. The fusion of these complementary paradigms through advanced data analytics and multimodal integration has produced transformative methodologies, enhancing urban resilience frameworks, functional zone delineation, and real-time disaster responses. Despite significant progress, the integration faces persistent challenges, including data heterogeneity, representational bias, ethical concerns, and scalability limitations. Differing from previous reviews that survey the landscape, the current work argues that current integration efforts remain ad hoc and technologically driven, lacking a unifying theory for real-time urban governance. To address this critical gap, I develop and operationalize a new systems-based framework for hybrid urban observatories. This framework is built on a socio-ecological foundation and explicitly integrates technical components with an essential governance layer, advancing both methodological rigor and actionable guidance for the field. Such a framework will enable a more holistic, responsive, and equitable approach to urban governance and sustainability. Full article

The current changing climate requires the development of water–energy–food (WEF) nexus-oriented systems capable of mainstreaming climate-smart innovations into resource management. This study demonstrates the cross-sectoral impacts of climate change on interlinked sectors of water, energy, and food in Narok County, Kenya, and Vhembe District, South Africa. This study used projected hydroclimatic extremes across past, present, and future scenarios to examine potential effects on the availability and accessibility of these essential resources. The projected temperature and rainfall are based on nine dynamically downscaled Coupled Model Intercomparison Project Phase 5 (CMIP 5) of the Global Climate Models (GCMs). The model outputs were derived from two IPCC “Representative Concentration Pathways (RCPs)’’, the RCP 4.5 “moderate scenario”, and RCP 8.5 “business as usual scenario”, also defined as the addition of 4.5 W/m² and 8.5 W/m² radiative forcing in the atmosphere, respectively, by the year 2100. For the climate change projections, outputs from the historical period (1976–2005) and projected time intervals spanning the near future, defined as the period starting from 2036 to 2065, and the far future, spanning from 2066 to 2095, were considered. An ensemble model to increase the skill, reliability, and consistency of output was formulated from the nine models. The statistical bias correction based on quantile mapping using seven ground-based observation data from the South African Weather Services (SAWS) for Limpopo province and nine ground-based observation data acquired from the Trans-African Hydro-Meteorological Observatory (TAHMO) for Narok were used to correct the systematic biases. Results indicate downscaled climate change scenarios and integrate a modelling framework designed to depict the perceptions of future climate change impacts on communities based on questionnaires and first-hand accounts. Furthermore, the analysis points to concerted efforts of multi-stakeholder engagement, the access and use of technology, understanding the changing business environment, integrated government and private sector partnerships, and the co-development of community resilience options, including climate change adaptation and mitigation in the changing climate. The conceptual climate and WEF resource modelling framework confirmed that future climate change will have noticeable interlinked impacts on WEF resources that will impact the livelihoods of vulnerable communities. Building the resilience of communities can be achieved through transformative WEF nexus solutions that are inclusive, sustainable, equitable, and balance adaptation and mitigation goals to ensure a just and sustainable future for all. Full article

Traffic on backbone communication networks is growing significantly every year. This results in an increase in both energy consumption and the carbon footprint they leave on the environment. As a response, research efforts are focused on reducing energy consumption in telecom networks. Wavelength division multiplexing (WDM) optical networks are key for addressing rising bandwidth demands in backbone networks, but this leads to a concurrent surge in energy usage. Additionally, regions with high seismic activity risk damage to backbone networks from earthquakes, causing significant bandwidth loss and service disruptions. This paper aims to reduce the energy consumption in a backbone network by implementing an algorithm that optimizes energy efficiency while preserving network connectivity and resistance to earthquake phenomena. The proposed algorithm redesigns and modifies a backbone network by deactivating the unnecessary links without affecting the network performance. The scheme is extensively evaluated through simulations using real seismic data from the Geodynamic Institute of the National Observatory of Athens, confirming earthquake resilience and energy efficiency goals, with an energy saving of up to 9% compared to existing solutions. Full article

A shifting phenology in deciduous broadleaf forests (DBFs) can indicate forest health, resilience, and changes in the face of a rapidly changing climate. The availability of satellite-based solar-induced fluorescence (SIF) from the Orbiting Carbon Observatory-2 (OCO-2) promises to add to the understanding of the regional-level DBF phenology that has been developed, for instance, using proxies of gross primary productivity (GPP) from the Moderate Imaging Spectroradiometer (MODIS). It is unclear how OCO-2 and MODIS metrics compare in terms of capturing intra-annual variations and benchmarking DBF seasonality, thus necessitating a comparison. In this study, spatiotemporally matched OCO-2 SIF metrics (at footprint level) and corresponding MODIS GPP, normalized difference vegetation index (NDVI), and enhanced vegetation index (EVI) products within a temperate DBF were used to compare the phenology captured by the productivity metrics. Additionally, an estimate of the SIF yield (SIF_y), derived from OCO-2 SIF measurements, and a MODIS fraction of photosynthetically active radiation (fPAR) were tested. An examination of the trends and correlations showed relatively few qualitative differences among productivity metrics and environmental variables, but it highlighted a lack of seasonal signal in the calculation of SIF_y. However, a seasonality analysis quantitatively showed similar seasonal timings and levels of seasonal production in and out of the growing season between SIF and GPP. In contrast, NDVI seasonality was least comparable to that of SIF and GPP, with senescence occurring approximately one month apart. Taken together, we conclude that satellite-based SIF and GPP (and EVI to a smaller degree) provide the most similar measurements of forest function, while NDVI is not sensitive to the same changes. In this regard, phenological metrics calculated with satellite-based SIF, along with those calculated with GPP and EVI from MODIS, can enhance our current understanding of deciduous forest structures and functions and provide additional information over NDVI. We recommend that future studies consider metrics other than NDVI for phenology analyses. Full article

With the COVID-19 pandemic, the notion of health system (HS) performance has been discussed, and the notion of resilience has become increasingly important. Lacking a recognised framework that measures the performance of HSs throughout a crisis, i.e., one that explicitly includes time as a key aspect, we examined the literature about conceptual frameworks for measuring the performance and the resilience of HSs. This review highlighted a significant diversity among 18 distinct HS performance frameworks and 13 distinct HS resilience frameworks. On this basis, we developed a model that integrates the WHO’s widely recognised six building block framework in a novel approach derived from the European Observatory on HSs and Policies. The resulting framework adapts the building blocks to the different stages of a crisis, thereby allowing for a comprehensive assessment of an entire health system’s performance throughout the crisis’s duration, while also considering the key aspect of resilience. For a more pragmatic use of this framework in the future, indicators will be developed as a next step. Full article

The Great Barrier Reef (GBR) is a marine protected area subject to natural and anthropogenic disturbances. Water quality is critical for the health and protecting resilience of GBR coral ecosystems against the synergistic and cumulative pressures of tropical cyclones, marine heat waves, and outbreaks of crown-of-thorns starfish. The concentration of Total Suspended Solids (TSS) is a key water quality parameter measured at multiple spatio-temporal scales from in situ probes to satellite observations. High TSS concentrations can adversely impact coral and seagrasses on the inshore GBR. We present diurnal TSS derived from Himawari-8 Geostationary satellite observations at 10 min frequency and demonstrate its applicability for improved monitoring of GBR water quality. Diurnal TSS obtained from Himawari-8 observations were compared to TSS computed from in situ bio-optical measurements at the Lucinda Jetty Coastal Observatory (LJCO). The coastal waters at LJCO experience diurnal variability of TSS (~7 mg L⁻¹), where magnitude peaks followed the slack tides, and the largest diurnal changes were associated with freshwater discharge residuals from the wet season. Exceedance maps revealed that TSS is above guideline thresholds in the open coastal and mid-shelf waters for ~60% of the valid monthly observations, including during dry season months. Full article

Public environmental information can improve industry performance, reduce environmental conflicts, and foster informed citizenship. The latter is directly linked to resilience because it is a “process that enables people to learn together, support experimentation, and increase the potential for (social and technological) innovation”. Importantly, the transparency and disclosure of environmental information alone do not have the desired impact; the general public may have access to information but not understand the content. It is necessary to reframe the technical language of information to reach broader stakeholder understanding. The Environmental Observatory for Mining Projects is an applied research project that aims to provide a public information access system for diverse stakeholders. It integrates data from various public services and makes them available to a variety of stakeholders, including the general public, through a web server and application that facilitate accessibility and understanding by using the co-creation methodology for public services. As a result of the project, the authors identified 25 indicators, six of which relate to climate change, including greenhouse gas emissions, water pollution, air pollution, hazardous waste, and tailing deposit locations. These indicators are relevant for decision making through the combined knowledge of public policies, information priorities on the impacts and vulnerabilities of climate change, and more practical issues related to data availability. The authors conclude that environmental information systems must provide people with essential data, but that such information must also be understandable, manageable, comparable, and interoperable so as to promote access to crucial information for resilient communities. Full article

Island territories and their coastal regions are subject to a wide variety of stresses, both natural and anthropogenic. With increasing pressures on these vulnerable environments, the need to improve our knowledge of these ecosystems increases as well. Unmanned Aerial Vehicles (UAVs) have recently shown their worth as a tool for data acquisition in coastal zones. This literature review explores the field of UAVs in the context of coastal monitoring on island territories by highlighting the types of platforms, sensors, software, and validation methods available for this relatively new data acquisition method. Reviewing the existing literature will assist data collectors, researchers, and risk managers in more efficiently monitoring their coastal zones on vulnerable island territories. The scientific literature reviewed was strictly analyzed in peer-reviewed articles ranging from 2016 to 2022. This review then focuses on the operationalization of the concept of resilience as a risk management technique. The aim is to identify a procedure from raw data acquisition to quantifying indicators for the evaluation of the resilience of a territory and finally linking the analyzed data to a spatial decision support system. This system could aid the decision-making process and uses the islands of French Polynesia and its Resilience Observatory as a case study. Full article

The paper is rooted in the results of the Resilience Practices Observatory (RPO) project, which engaged more than one hundred community-led practices to improve local resilience capacities and about fifty applied research and institutional-led initiatives. The article in retracing the complex and articulated RPO research-action project aims to stimulate the disciplinary debate on the contribution and role of resilience practices in a renewed landscape planning framework process. In particular, the paper focuses on the resilience practices acting on ecological landscape enhancement, assuming nature-based solutions as an umbrella concept under numerous approaches, models, and theoretical frameworks supporting the integration of ecological values in the territorial and urban transformation towards their conservation and improvement. The selected cases are placed in the Milano metropolitan area, aiming to safeguard, improve, and valorize urban and periurban landscapes. The cases are used to explore three emerging phenomena: (1) the alliances and the role of community in orienting landscape planning; (2) the role of practices in solution co-design and planning implementation; (3) the role of community in micro-intervention for urban biodiversity and landscape functionality. The final section emphasizes the potential role of community-led initiatives in implementing the NBS European policy and landscape planning guidelines. In the meantime, final remarks underline perspectives in overcoming the existing criticalities towards renovated and adaptive governance process, enabling a more collaborative arena supporting the engagement of differentiated actors along the whole process, from decision making to the implementation and management of landscape planning. Full article

Data from historical observatories and future simulations were analyzed using the representative concentration pathway (RCP) 8.5 scenario, which covered the period from 1951 to 2100. In order to characterize the drought, three widely used drought indicators were used: the standardized precipitation index (SPI), the reconnaissance drought index (RDI), and the standardized precipitation and evapotranspiration index (SPEI). The ensemble of the seven (7) GCMs that used RCA-4 was able to capture several useful characteristics of Nigeria’s historical climatology. Future climates were forecasted to be wetter than previous periods during the study period based on the output of drought characteristics as determined by SPI. SPEI and RDI predicted drier weather, in contrast. SPEI and RDI’s predictions must have been based on the effect of rising temperatures brought on by global warming as depicted by RCP 8.5, which would then have an impact on the rate of evapotranspiration. According to drought studies using the RCP 8.5 scenario, rising temperatures will probably cause more severe/extreme droughts to occur more frequently. SPEI drought frequency changes in Nigeria often range from 0.75 (2031–2060) to 1.80 (2071–2100) month/year, whereas RDI changes typically range from 0.30 (2031–2060) to 0.60 (2071–2100) month/year. The frequency of drought incidence has recently increased and is now harder to forecast. Since the Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR) and the Sustainable Development Goals (SDGs) have few more years left to be completed, drastic efforts must be made to create climate-resilient systems that can tackle the effects that climate change may have on the water resources and agricultural sectors. Full article

The access to open government data has been a relevant topic for societies around the world, especially over the last ten years. This paper aims to analyze the indicators of the São Paulo City Observatory (ObservaSampa), confronting them with the ISO 3712x series (sustainable, smart, and resilient cities) standards, to assess if the former meet both open data principles and the ISO prescriptions. Bibliometric analysis, comparative analysis, cluster analysis, and principal component analysis (PCA) were the methods used in this research. From the comparative analysis, 18 indicators were identified as conforming and 41 as partially conforming. Thus, 20% of the ObservaSampa indicators adhere to the ISO standards. The PCA applied to the conforming indicators shows component 1 is related to socioeconomic dimensions, while component 2 refers to social policy, with both appraisals confirmed by cluster analysis. Measuring and presenting city data in compliance with indicator standards is relevant because they open the possibility of comparing different cities. However, there is still a lack of consensus on a common set of indicators to be accommodated within the current ISO standards system. Full article

Climate change has an ever-increasing impact on island territories. Whether it is due to rising sea levels or the increase in recurrence and intensity of extreme events, island territories are increasingly vulnerable. These impacts are expected to affect marine and terrestrial biodiversity, human occupation (infrastructure) and other activities such as agriculture and tourism, the two economic pillars of French Polynesia. While the current and future impacts of climate change on island territories are generally accepted, data acquisition, modeling, and projections of climate change are more complex to obtain and limitedly cover the island territories of the Pacific region. This article aims to develop methodologies for the acquisition and exploitation of data on current and future climate risks and their impacts in French Polynesia. This work of acquisition and valorization is part of a research project for the development of an observatory of resilience to climate risks in the perspective of building a spatial decision support system. Full article

Background and Objectives: While the impact on mental health of 2019 coronavirus (COVID-19) has been extensively documented, little is known about its influence on subjective fears. Here, we investigate the COVID-19 impact and its related restrictions on fears of patients admitted to a psychiatric Emergency Department (ED) during and post-lockdown. Materials and Methods: A retrospective study on 1477 consultations at the psychiatric ED of the University Hospital of Geneva (HUG) was performed using a mixed-methods analysis. The first analysis section was qualitative, aiming to explore the type of fears, while the second section statistically compared fears (i) during lockdown (16 March 2020–10 May 2020) and (ii) post-lockdown (11 May 2020–5 July 2020). Fears were also explored among different patient-age sub-groups. Results: 334 patients expressed one/more fears. Both in lockdown and post-lockdown, fears mostly pertained to “containment measures” (isolation, loneliness). When compared lockdown vs. post-lockdown, fears about “work status” (deteriorating, losing work) prevailed in lockdown (p = 0.029) while “hopelessness” (powerless feeling, inability to find solutions) in post-lockdown (p = 0.001). “Self around COVID-19” (dying, getting sick) fear was relatively more frequent in youth (p = 0.039), while “hopelessness” in the elderly (p < 0.001). Conclusions: Collectively, these findings highlight that lockdown/post-lockdown periods generated temporally and demographically distinct COVID-19 related fears patterns, with special regard to youth and elderly, two particularly vulnerable populations when faced with sudden and unexpected dramatic events. For this reason, the particular ED “front-line service” status makes it a privileged observatory that can provide novel insights. From a mental health perspective, these latter can be translated into pragmatic, more personalized prevention strategies to reinforce specific resilience resources and mitigate the current and long-term pandemic’s impact. Full article

The volcanic-hydrothermal geo-diversity of the Basse-Terre Island of Guadeloupe archipelago (Eastern Caribbean, France) is a major asset of the Caribbean bio-geoheritage. In this paper, we use Guadeloupe as a representative of many small island developing states (SIDS), to show that the volcanic-hydrothermal geodiversity is a major resource and strategic thread for resilience and sustainability. These latter are related to the specific richness of Guadeloupe’s volcanic-geothermal diversity, which is de facto inalienable even in the wake of climate change and natural risks that are responsible for this diversity, i.e., volcanic eruptions. We propose the interweaving the specificity of volcanic-geothermal diversity into planning initiatives for resilience and sustainability. Among these initiatives research and development programs focused on the knowledge of geodiversity, biodiversity and related resources and risks are central for the long-term management of the water resource, lato sensu. Such a management should include a comprehensive scientific observatory for the characterization, exploration, and sustainable exploitation of the volcanic-hydrothermal geodiversity alongside planning for and mitigating geophysical risks related to sudden volcanic-induced phenomena and long-term systemic drifts due to climate change. The results of this exercise for Guadeloupe could typify innovative paths for similar SIDS around their own volcanic-hydrothermal geodiversity. Full article