Rare’s Conservation Campaigns: Community Decision Making and Public Participation for Behavioral Change in Indonesia, China, and Latin America

In this chapter we explore the ways in which Rare, an international non-profit organization, uses institutional, practical, and local knowledge as a symbolic resource to create environmental change. Rare’s approach involves identifying human behaviors that cause threats to biodiversity, using social science research to identify community-based and public participation solutions to change these behaviors, launching a Pride campaign designed to instill pride within a local community and to facilitate the removal of barriers to conservation, and adapting conservation solutions on a broader scale. Such an approach enables Rare and its campaign managers to draw on expertise from all kinds of backgrounds, experiences, and different knowledge bases that allows for contextual and effective behavior change in conservation rooted in public participation and community empowerment. Rare partners with The University of Texas at El Paso to offer a master’s degree program for Pride campaign managers, and we have collected data while supervising the coursework and assignments for this program through qualitative approaches, such as ethnography, interviews, and field site visits, and quantitative approaches, such as knowledge-attitude-practice (KAP) surveys implemented by our students (the Rare campaign managers). Based on these data, we offer case studies from three regions where Rare works: Indonesia, Latin America, and China. While conservation efforts often focus on tangible material resources, limiting the available options for change, we ultimately argue that Rare’s focus on symbolic resources in Pride campaigns uses the paradigm of constructed potentiality (Foss & Foss, 2011), generating multiple options for creating change through public participation

Establishment and Spread of a Single Parthenogenic Genotype of the Mediterranean arundo wasp, Tetramesa romana1, In the Variable Climate of Texas

As part of a biological control program for the invasive weed, Arundo donax L., several genotypically unique populations of the parthenogenetic stemgalling wasp, Tetramesa romana Walker (Hymenoptera: Eurytomidae), from Spain and France were released in an infested riparian zone along the Rio Grande from Brownsville to Del Rio, TX. An adventive population of the wasp of unknown origin with limited distribution in Texas was also discovered, evaluated, and released as part of the program. More than 1.2 million wasps representing the mixture of genotypes were aerially released from 2009 to 2011. Wasps dispersed from their original release locations and now have a continuous distribution along the Rio Grande from Brownsville to Del Rio, and have dispersed throughout most of Central Texas with satellite populations as far west as San Angelo (Tom Green County), north as far as Kaufman (Kaufman County), and east to Navasota (Grimes County). The most successful genotype (#4) represented 390 of the 409 wasps recovered and matched both an imported population from the Mediterranean coast of Spain and an adventive population established in Texas before the start of the biological control program. Several other European genotypes of the wasp released in the program apparently failed to establish. This result demonstrated the benefits of evaluating and releasing the maximum genetic diversity of the biological control agent in the introduced range. Abundance of T. romana on the Rio Grande from Laredo to Del Rio averaged 190% more in 2013-2014 compared to a similar study in 2008-2009 before release of the European wasps. A favorability index was developed that showed that conditions from 1969 to 1977 would have been adverse to the wasp; conditions after 2009 were more favorable. Climate matching predicts the wasp will disperse throughout the southern U.S. and Mexico

Concordancia entre el Índice de Capacidad Laboral y los Años de Discapacidad Sobrevenida Estimados mediante metodología PoRT-9LSQ

Objetivo: Analizar la asociación entre los estilos de vida y factores de riesgo para la salud que pueden suponer un abandono prematuro del trabajo, con los años de discapacidad sobrevenida estimados (ADSE) en población laboral, y calcular la correlación entre el Índice de Capacidad Laboral (ICL) y el Work Ability Score (WAS), y ambos con los ADSE y su coste económico. Métodos: Estudio transversal en una muestra de trabajadores a los que se realizó un examen de salud. La información se recogió mediante los cuestionarios ICL y WAS, y la metodología PoRT-9LSQ. Se realizó un análisis de la asociación entre los factores de riesgo analizados y los ADSE mediante regresión lineal y análisis de la varianza (ANOVA). Se analizó la correlación entre ICL y WAS usando el coeficiente de correlación intraclase (CCI), y con los ADSE y su coste económico mediante regresión lineal ajustada.  Resultados: Se incluyeron 590 trabajadores. Los factores que más influyeron en la media de ADSE fueron el sedentarismo, la mala alimentación y el sobrepeso/obesidad, con diferencias estadísticamente significativas según sexo, turno y ocupación (p<0,05). El CCI entre ICL y WAS fue del 93,0% para una valoración excelente/buena. La regresión lineal ajustada entre ICL y los ADSE fue de 7,982-0,136xICL (p<0,05), siendo similar para el WAS.  Conclusiones: El ICL se ha mostrado útil para la predictibilidad de los ADSE en población laboral, lo que facilitará la toma de decisiones del personal sanitario para identificar personas vulnerables favoreciendo cambios en los estilos de vida y el autocuidado.

Concordancia entre el Índice de Capacidad Laboral y los Años de Discapacidad Sobrevenida Estimados mediante metodología PoRT-9LSQ

Objetivo: Analizar la asociación entre los estilos de vida y factores de riesgo para la salud que pueden suponer un abandono prematuro del trabajo, con los años de discapacidad sobrevenida estimados (ADSE) en población laboral, y calcular la correlación entre el Índice de Capacidad Laboral (ICL) y el Work Ability Score (WAS), y ambos con los ADSE y su coste económico. Métodos: Estudio transversal en una muestra de trabajadores a los que se realizó un examen de salud. La información se recogió mediante los cuestionarios ICL y WAS, y la metodología PoRT-9LSQ. Se realizó un análisis de la asociación entre los factores de riesgo analizados y los ADSE mediante regresión lineal y análisis de la varianza (ANOVA). Se analizó la correlación entre ICL y WAS usando el coeficiente de correlación intraclase (CCI), y con los ADSE y su coste económico mediante regresión lineal ajustada.  Resultados: Se incluyeron 590 trabajadores. Los factores que más influyeron en la media de ADSE fueron el sedentarismo, la mala alimentación y el sobrepeso/obesidad, con diferencias estadísticamente significativas según sexo, turno y ocupación (p<0,05). El CCI entre ICL y WAS fue del 93,0% para una valoración excelente/buena. La regresión lineal ajustada entre ICL y los ADSE fue de 7,982-0,136xICL (p<0,05), siendo similar para el WAS.  Conclusiones: El ICL se ha mostrado útil para la predictibilidad de los ADSE en población laboral, lo que facilitará la toma de decisiones del personal sanitario para identificar personas vulnerables favoreciendo cambios en los estilos de vida y el autocuidado.

Partición de la evapotranspiración usando isótopos estables en estudios ecohidrológicos

La ecohidrología como disciplina emergente pretende generar conocimiento para entender procesos fundamentales de los ecosistemas en función de la dinámica del ciclo hidrológico. Durante la temporada de lluvias, que coincide con las altas temperaturas en las zonas semiáridas, se desencadenan diversos procesos ecológicos relacionados con el intercambio de agua entre la superficie terrestre y la atmósfera, vía evapotranspiración (ET). A pesar de que existen diferentes metodologías para estimar ET, conocer la proporción de sus componentes, evaporación del suelo (Es) y transpiración de la vegetación (T), en escalas congruentes es todavía complicado. El presente trabajo tiene como objetivo conocer la proporción de T/ET durante un día de la temporada de lluvias en un ecosistema semiárido del noroeste de México, usando isótopos estables como trazadores de los diferentes componentes de la ET. Durante el 24 de julio de 2007 se obtuvo que la proporción T/ET fue de 59 ± 6%, pero mostró una variación importante entre la mañana y la tarde, ya que la T/ET fue de 86 ± 21% por la mañana y decayó a 46 ± 9% en la tarde. Estos resultados apuntan a que durante la mañana la vegetación se mantiene más activa, contribuyendo más a la ET vía T, en contraste con lo que se observa en la tarde. Con el uso de isótopos estables es posible separar la ET en sus componentes en nivel de ecosistema, lo cual permite el avance del conocimiento ecohidrológico

Brain metastases from breast cancer: lessons from experimental magnetic resonance imaging studies and clinical implications.

Breast cancer that has metastasized to the brain presents difficult clinical challenges. This diagnosis comes with high mortality rates, largely due to complexities in early detection and ineffective therapies associated with both dormancy and impermeability of the blood-brain barrier (BBB). Magnetic resonance imaging (MRI) is the current gold standard for diagnosis and assessment of brain tumors. It has been used clinically to investigate metastatic development as well as monitor response to therapy. Here, we describe preclinical imaging strategies that we have used to study the development of brain metastases due to breast cancer. Using this approach, we have identified three subsets of metastatic disease: permeable metastases, nonpermeable metastases, and solitary, dormant cancer cells, which likely have very different biology and responses to therapy. The ability to simultaneously monitor the spatial and temporal distribution of dormant cancer cells, metastatic growth, and associated tumor permeability can provide great insight into factors that contribute to malignant proliferation. Our preclinical findings suggest that standard clinical detection strategies may underestimate the true metastatic burden of breast cancer that has metastasized to the brain. A better understanding of true metastatic burden in brains will be important to assist in the development of more effective chemotherapeutics-particularly those targeted to cross the BBB-as well as detection of small nonpermeable metastases

TRY plant trait database - enhanced coverage and open access

Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Training evaluation: a case study of training Iranian health managers

<p>Abstract</p> <p>Background</p> <p>The Ministry of Health and Medical Education in the Islamic Republic of Iran has undertaken a reform of its health system, in which-lower level managers are given new roles and responsibilities in a decentralized system. To support these efforts, a United Kingdom-based university was contracted by the World Health Organization to design a series of courses for health managers and trainers. This process was also intended to develop the capacity of the National Public Health Management Centre in Tabriz, Iran, to enable it to organize relevant short courses in health management on a continuing basis. A total of seven short training courses were implemented, three in the United Kingdom and four in Tabriz, with 35 participants. A detailed evaluation of the courses was undertaken to guide future development of the training programmes.</p> <p>Methods</p> <p>The Kirkpatrick framework for evaluation of training was used to measure participants' reactions, learning, application to the job, and to a lesser extent, organizational impact. Particular emphasis was put on application of learning to the participants' job. A structured questionnaire was administered to 23 participants, out of 35, between one and 13 months after they had attended the courses. Respondents, like the training course participants, were predominantly from provincial universities, with both health system and academic responsibilities. Interviews with key informants and ex-trainees provided supplemental information, especially on organizational impact.</p> <p>Results</p> <p>Participants' preferred interactive methods for learning about health planning and management. They found the course content to be relevant, but with an overemphasis on theory compared to practical, locally-specific information. In terms of application of learning to their jobs, participants found specific information and skills to be most useful, such as health systems research and group work/problem solving. The least useful areas were those that dealt with training and leadership. Participants reported little difficulty in applying learning deemed "useful", and had applied it often. In general, a learning area was used less when it was found difficult to apply, with a few exceptions, such as problem-solving. Four fifths of respondents claimed they could perform their jobs better because of new skills and more in-depth understanding of health systems, and one third had been asked to train their colleagues, indicating a potential for impact on their organization. Interviews with key informants indicated that job performance of trainees had improved.</p> <p>Conclusion</p> <p>The health management training programmes in Iran, and the external university involved in capacity building, benefited from following basic principles of good training practice, which incorporated needs assessment, selection of participants and definition of appropriate learning outcomes, course content and methods, along with focused evaluation. Contracts for external assistance should include specific mention of capacity building, and allow for the collaborative development of courses and of evaluation plans, in order to build capacity of local partners throughout the training cycle. This would also help to develop training content that uses material from local health management situations to demonstrate key theories and develop locally required skills. Training evaluations should as a minimum assess participants' reactions and learning for every course. Communication of evaluation results should be designed to ensure that data informs training activities, as well as the health and human resources managers who are investing in the development of their staff.</p