Multi-Scale Governance of Sustainable Natural Resource Use—Challenges and Opportunities for Monitoring and Institutional Development at the National and Global Level

In a globalized economy, the use of natural resources is determined by the demand of modern production and consumption systems, and by infrastructure development. Sustainable natural resource use will require good governance and management based on sound scientific information, data and indicators. There is a rich literature on natural resource management, yet the national and global scale and macro-economic policy making has been underrepresented. We provide an overview of the scholarly literature on multi-scale governance of natural resources, focusing on the information required by relevant actors from local to global scale. Global natural resource use is largely determined by national, regional, and local policies. We observe that in recent decades, the development of public policies of natural resource use has been fostered by an “inspiration cycle” between the research, policy and statistics community, fostering social learning. Effective natural resource policies require adequate monitoring tools, in particular indicators for the use of materials, energy, land, and water as well as waste and GHG emissions of national economies. We summarize the state-of-the-art of the application of accounting methods and data sources for national material flow accounts and indicators, including territorial and product-life-cycle based approaches. We show how accounts on natural resource use can inform the Sustainable Development Goals (SDGs) and argue that information on natural resource use, and in particular footprint indicators, will be indispensable for a consistent implementation of the SDGs. We recognize that improving the knowledge base for global natural resource use will require further institutional development including at national and international levels, for which we outline options.

Iowa State Park Recycling Research Study, 2012

The Department of Natural Resources’ mission of “Leading Iowans in caring for our natural resources” provides the framework within which the Iowa State Park Recycling Research Study was conducted. Recycling at home and in places of business is becoming common for most Iowans but recycling is not available in any form at most Iowa State Parks. The Iowa State Park Recycling Research Study was undertaken to determine the amount of solid waste generated, primarily by campground guests, and how much of this waste is locally recyclable. The study also looked at existing solid waste hauling contracts and the location of area recycling centers. Based on data collected, recommendations are made regarding the economic and operational viability of implementing recycling in the eight (8) state parks participating in the study.

Identificación de redes nacionales y mundiales de distribución de petróleo y gas natural y su relación con la conformación de comunidades

El presente proyecto investiga la relación entre las organizaciones con el medio y marketing, para lo cual se debe mencionar el conflicto de intereses de la comunidad y de la organización, y como se intenta percibir a la organización como un buen vecino dentro de la comunidad. A su vez éste estudio cuenta con objetivos basados en la identificación de redes de distribución de petróleo y gas natural, tanto nacionales como internacionales, para así abarcar un sector estratégico más preciso, y mostrar las relación entre las organizaciones y la conformación de comunidades. Se tienen en cuenta factores elementales en el estudio de este sector energético, como son sus principales componentes, así como un marco teórico específico que permita desarrollar el concepto de conformación de comunidades para lograr una exitosa aplicación del mismo. Del mismo modo se incluirán temas relacionados con marketing, pero desde un punto de vista más cercano a la comunidad, tomando los medios y el marketing como un concepto más importante en el impacto de las organizaciones en la comunidad, es decir tomando el concepto de marketing como aquellas comunidades que rodean las organizaciones, como éstas dos interactúan, y que impactos tienen una sobre la otra. De la misma manera se tienen resultados en cuanto a planteamientos más profundos sobre conceptos de marketing que no son desarrollados muy a menudo, los cuales conservan su esencia fundamental y siguen impactando en silencio a las organizaciones, pero que si lo estudiamos y aprovechamos de algún modo lograremos beneficios para nuestra organización y para los intereses colectivos.

Propuesta de creación de la Reserva Natural Municipal El Chuval en el Municipio de El Retén, Magdalena, Colombia

Colombia se ha comprometido a nivel internacional a realizar acciones que conduzcan al país hacia el desarrollo sostenible, específicamente a proteger los recursos naturales. En línea con esta apuesta, la presente investigación propone la construcción de la Reserva Natural El Chuval, en el municipio El Retén, Magdalena. Para la construcción de dicha Reserva se realiza un diagnóstico que indica las principales características del Chuval, se identifican posibles riesgos para la conservación de sus valores ambientales, y se complementa el análisis con una propuesta de manejo que se enmarca en la metodología de Agendas Ambientales Locales desarrollada por la ONU. Pese a que el municipio es consciente de la relevancia ambiental del Chuval, aún no se han tomado decisiones definitivas para proteger esta zona, razón por la cual, la presente investigación busca llenar un vacío en el ordenamiento territorial del municipio, que fortalezca la protección de la Ciénaga Grande de Santa Marta.

Alternativas de integración de ecosistemas estratégicos a la planificación urbana. Estudio de caso: el crecimiento urbano sobre la función eco-sistémica del corredor natural Usaquén – Suba. Periodo 2003– 2016

Los modelos de gestión urbana a nivel global, incorporan en la planeación y en el desarrollo de los entornos urbanos, al suelo natural de soporte como estructura fundamental; debido principalmente a sus funciones ecosistémicas y a los bienes ambientales que provee, incluyendo la biodiversidad y la conservación de entornos con calidad paisajística, entre otros. Teniendo en cuenta lo anterior, el objetivo principal de esta investigación, consiste en hacer un seguimiento y caracterización del ecosistema estratégico del corredor biológico borde norte en la ciudad de Bogotá, con el fin de identificar y dar visibilidad a los aspectos críticos, que son necesarios a tener en cuenta en la política e instrumentos de planeación, para el tratamiento de ésta área. En el desarrollo de esta investigación, se aplicaron las nociones metodológicas de la ecología urbana, dando inicio con una fase de diagnóstico y caracterización de la situación actual, seguido de la formulación de alternativas, entre las que se destacan, la restauración ecológica. En el diagnóstico se pudo identificar que, si bien existe disponibilidad de agua y de cobertura vegetal en las condiciones de suelo, también está presente una gran presión inmobiliaria en el sector, lo cual, ha promovido la alteración de los predios, haciendo urgente un tratamiento integral de restauración ecológica de éste corredor, que permita la recuperación de la función ecosistémica, aportando beneficios a la ciudad.

Percepción de los trabajadores acerca de la seguridad en el trabajo en una empresa del sector de gas natural en Casanare

Introducción: La percepción puede ser considerada principalmente como un grupo de procesos internos en las personas que genera en los observadores una representación mental del entorno. Percibir es adelantarse al suceso, a lo que puede llegar a suceder, determinando lo que puede ser un peligro a nuestra seguridad y salud. Objetivo: El presente estudio tiene como objetivo determinar la percepción de los trabajadores acerca de la seguridad en el trabajo en áreas de procesos automatizados y mecánicas en una empresa del sector de gas natural en el departamento de Casanare, Colombia 2016. Metodología: Se llevó a cabo un estudio de corte transversal en 50 trabajadores de una empresa del sector de gas natural en Casanare. Se uttilizó el Cuestionario nórdico NOSACQ-50-Spanish, instrumento validado para evaluar la percepción acerca de la seguridad y salud en el lugar de trabajo. Se incluyeron variables sociodemográficas, laborales y las relacionadas con la percepción de la seguridad en el lugar del trabajo. Para el análsiis estadistico se calcularon medidas de tendencia central y de dispersión. El estudio de la percepción de seguridad tuvo como puntos de corte: < 2,5 mala percepción y > 2,5 buena percepción. Se emplearon pruebas de asociación X2 o test exacto de Fisher (valores esperados <5) y medidas de asociación OR con sus intervalos de confianza del 95% y se usaron modelos de regresión lineal. Resultados: El total de trabajadores fue de 50 personas, el 76% correspondió al sexo masculino y la mayor distribución se presentó en áreas mecánicas con 52% frente al 48% que se encontró en áreas automatizadas. Se halló asociación estadísticamente significativa entre las variables sociodemográficas área/sexo (Pr = 0,016), indicando que a los trabajadores de sexo femenino se les ubican en el área mecánica mientras que los de sexo masculino, laboran en todas las áreas sin darle relevancia al género. También se encontró asociación con las variables área/año de nacimiento (Pr =0.022), indicando que en el área automatizada se dejan profesionales con promedio de edad de 32 años, por el tipo de requisitos en competencias que exigen para ejecutar las labores. Para las demás variables ocupacionales que evaluaron la percepción de seguridad frente al trabajo, no se encontró asociación significativa. Conclusión: Los resultados permiten realizar acciones en pro de mejorar la percepción de los trabajadores dentro de la organización. Se podrán desarrollar programas de seguridad y salud en el trabajo, que respondan de manera efectiva a los peligros laborales detectados.

Benthic nematode assemblage composition and diversity during a natural recovery process of Zostera noltii seagrass beds,

In 2008, the stable seagrass beds of the Mira estuary (SW Portugal) disappeared completely; however, during 2009, they have begun to present early symptoms of natural recovery, characterised by a strongly heterogeneous distribution. This study was designed to investigate the spatial and temporal variability patterns of species composition, densities and trophic composition of the benthic nematode assemblages in this early recovery process, at two sampling sites with three stations each and at five sampling occasions. Because of the erratic and highly patchy seagrass recovery and the high environmental similarity of the two sampling sites, we expected within-site variability in nematode assemblages to exceed between-site variability. However, contrary to that expectation, whilst nematode genus composition was broadly similar between sites, nematode densities differed significantly between sites, and this between-site variability exceeded within-site variability. This may be linked to differences in the Zostera recovery patterns between both sites. In addition, no clear temporal patterns of nematode density, trophic composition and diversity were evident.

Aphid resistance in brazilian hexaploid wheat does not correlate with levels of the benzoxazinoid natural product DIMBOA.

2016

The natural plant stress elicitor cis-jasmone causes cultivar-dependent reduction in growth of the stink bug, Euschistus heros and associated changes in flavonoid concentrations in soybean, Glycine max.

To test the hypothesis that the plant stress related elicitor cis-jasmone (cJ) provides protection in soybean pods against the seed-sucking stink bug pest, Euschistus heros, the growth of E. heros on cJ-treated pods was investigated using three soybean cultivars differing in insect susceptibility, i.e. BRS 134 (susceptible), IAC 100 (resistant) and Dowling (resistant). E. heros showed reduced weight gain when fed cJ-treated Dowling, whereas no effect on weight gain was observed when fed other treated cultivars. Using analysis of variance, a three factor (cultivar x treatment x time) interaction was observed with concentrations of the flavonoid glycosides daidzin and genistin, and their corresponding aglycones, daidzein and genistein. There were increases in genistein and genistin concentrations in cJ-treated Dowling at 144 and 120 h post treatment, respectively. Higher concentrations of malonyldaidzin and malonylgenistin in Dowling, compared to BRS 134 and IAC 100, were observed independently of time, the highest concentrations being observed in cJ-treated seeds. Levels of glycitin and malonylglycitin were higher in BRS 134 and IAC 100 compared to Dowling. Canonical variate analysis indicated daidzein (in the first two canonical variates) and genistein (in the first only) as important discriminatory variables. These results suggest that cJ treatment leads to an increase in the levels of potentially defensive isoflavonoids in immature soybean seeds, but the negative effect upon E. heros performance is cultivar-dependent.

Towards Unstructured Knowledge Integration in Natural Language Processing

In the last decades, Artificial Intelligence has witnessed multiple breakthroughs in deep learning. In particular, purely data-driven approaches have opened to a wide variety of successful applications due to the large availability of data. Nonetheless, the integration of prior knowledge is still required to compensate for specific issues like lack of generalization from limited data, fairness, robustness, and biases. In this thesis, we analyze the methodology of integrating knowledge into deep learning models in the field of Natural Language Processing (NLP). We start by remarking on the importance of knowledge integration. We highlight the possible shortcomings of these approaches and investigate the implications of integrating unstructured textual knowledge. We introduce Unstructured Knowledge Integration (UKI) as the process of integrating unstructured knowledge into machine learning models. We discuss UKI in the field of NLP, where knowledge is represented in a natural language format. We identify UKI as a complex process comprised of multiple sub-processes, different knowledge types, and knowledge integration properties to guarantee. We remark on the challenges of integrating unstructured textual knowledge and bridge connections with well-known research areas in NLP. We provide a unified vision of structured knowledge extraction (KE) and UKI by identifying KE as a sub-process of UKI. We investigate some challenging scenarios where structured knowledge is not a feasible prior assumption and formulate each task from the point of view of UKI. We adopt simple yet effective neural architectures and discuss the challenges of such an approach. Finally, we identify KE as a form of symbolic representation. From this perspective, we remark on the need of defining sophisticated UKI processes to verify the validity of knowledge integration. To this end, we foresee frameworks capable of combining symbolic and sub-symbolic representations for learning as a solution.

Appropriate technologies and natural systems for wastewater treatment in low- and middle-income countries

Wastewater management is an environmental and social burden that primarily affects populations in Low- and Middle-Income Countries and the global environment. Wastewater collection, treatment, and reuse have become urgent, especially considering that 80% of the world's wastewater is untreated or improperly treated and discharged directly into water bodies. In recent years, the role of wastewater treatment plants in a sustainable water cycle has become even more critical, as they are the final destination of the collected wastewater. Indeed, the management of wastewater treatment plants should play an essential role in achieving SDG target 6.3 of the United Nations 2030 Agenda for SD. In this context, water reuse, especially wastewater reuse, plays a key role. This research focuses on investigating the valorization of wastewater resources applying Appropriate Technologies and Natural Systems for wastewater treatment in two different Low- and Middle-Income Countries, the Palestinian Territories and Sub-Saharan Africa. The research objectives are: (1) Determine the characteristics and quality of wastewater in the two case studies analysed. (2) Identify Appropriate Technology to be used in the Palestinian Territories to treat wastewater for reuse in agriculture. (3) Assess the environmental, economic, and social impacts of this project. (4) Assess the feasibility of using natural wetlands for household wastewater treatment in Sub-Saharan region. The first study, conducted in Rafah, Gaza Strip, showed that implementing existing primary treatment plant with a natural secondary treatment plant properly optimized the wastewater quality for reuse in agriculture and was suitable for the study area. The second case study was conducted in Cape Coast, Ghana. It shows that the natural wetland studied is currently overly polluted and threatened by various anthropogenic factors that cannot remove pollutants from the incoming domestic wastewater. Therefore, some recommendations were made in order to improve the efficiency of this natural wetland.

Towards cheaper, safer and low environmental impact materials for energy storage devices: natural resources-derived carbon based electrodes and aqueous electrolytes for supercapacitors

The growing market of electrical cars, portable electronics, photovoltaic systems..etc. requires the development of efficient, low-cost, and low environmental impact energy storage devices (ESDs) including batteries and supercapacitors.. Due to their extended charge-discharge cycle, high specific capacitance, and power capabilities supercapacitors are considered among the most attractive ESDs. Over the last decade, research and development in supercapacitor technology have accelerated: thousands of articles have been published in the literature describing the electrochemical properties of the electrode materials and electrolyte in addition to separators and current collectors. Carbon-based supercapacitor electrodes materials have gained increasing attention due to their high specific surface area, good electrical conductivity, and excellent stability in harsh environments, as well as other characteristics. Recently, there has been a surge of interest in activated carbon derived from low-cost abundant sources such as biomass for supercapacitor electrode materials. Also, particular attention was given to a major challenging issue concerning the substitution of organic solutions currently used as electrolytes due to their highest electrochemical stability window even though their high cost, toxicity, and flammability. In this regard, the main objective of this thesis is to investigate the performances of supercapacitors using low cost abundant safe, and low environmental impact materials for electrodes and electrolytes. Several prototypes were constructed and tested using natural resources through optimization of the preparation of appropriate carbon electrodes using agriculture by-products waste or coal (i.e. Argan shell or Anthracite from Jerrada). Such electrodes were tested using several electrolyte formulations (aqueous and water in salt electrolytes) beneficing their non-flammability, lower cost, and environmental impact; the characteristics that provide a promising opportunity to design safer, inexpensive, and environmentally friendly devices compared to organic electrolytes.

Analysis of technological accidents triggered by natural events (Natech) in the perspective of climate change

The severe accidents deriving from the impact of natural events on industrial installations have become a matter of growing concern in the last decades. In the literature, these events are typically referred to as Natech accidents. Several peculiarities distinguish them from conventional industrial accidents caused by internal factors, such as the possible occurrence of multiple simultaneous failures, and the enhanced probability of cascading events. The research project provides a comprehensive overview of Natech accidents that occurred in the Chemical and Process Industry, allowing for the identification of relevant aspects of Natech events. Quantified event trees and probability of ignition are derived from the collected dataset, providing a step forward in the quantitative risk assessment of Natech accidents. The investigation of past Natech accidents also demonstrated that wildfires may cause technological accidents. Climate change and global warming are promoting the conditions for wildfire development and rapid spread. Hence, ensuring the safety of industrial facilities exposed to wildfires is paramount. This was achieved defining safety distances between wildland vegetation and industrial equipment items. In addition, an innovative methodology for the vulnerability assessment of Natech and Domino scenarios triggered by wildfires was developed. The approach accounted for the dynamic behaviour of wildfire events and related technological scenarios. Besides, the performance of the emergency response and the related intervention time in the case of cascading events caused by natural events were evaluated. Overall, the tools presented in this thesis represent a step forward in the Quantitative Risk Assessment of Natech accidents. The methodologies developed also provide a solid basis for the definition of effective strategies for risk mitigation and reduction. These aspects are crucial to improve the resilience of industrial plants to natural hazards, especially considering the effects that climate change may have on the severity of such events.

Advancing digital healthcare research and machine learning-aided knowledge extraction amidst the COVID-19 pandemic

The rapid progression of biomedical research coupled with the explosion of scientific literature has generated an exigent need for efficient and reliable systems of knowledge extraction. This dissertation contends with this challenge through a concentrated investigation of digital health, Artificial Intelligence, and specifically Machine Learning and Natural Language Processing's (NLP) potential to expedite systematic literature reviews and refine the knowledge extraction process. The surge of COVID-19 complicated the efforts of scientists, policymakers, and medical professionals in identifying pertinent articles and assessing their scientific validity. This thesis presents a substantial solution in the form of the COKE Project, an initiative that interlaces machine reading with the rigorous protocols of Evidence-Based Medicine to streamline knowledge extraction. In the framework of the COKE (“COVID-19 Knowledge Extraction framework for next-generation discovery science”) Project, this thesis aims to underscore the capacity of machine reading to create knowledge graphs from scientific texts. The project is remarkable for its innovative use of NLP techniques such as a BERT + bi-LSTM language model. This combination is employed to detect and categorize elements within medical abstracts, thereby enhancing the systematic literature review process. The COKE project's outcomes show that NLP, when used in a judiciously structured manner, can significantly reduce the time and effort required to produce medical guidelines. These findings are particularly salient during times of medical emergency, like the COVID-19 pandemic, when quick and accurate research results are critical.