18 research outputs found

    The Adaptive Cycle As a Lens for Service Learning – Community Engagement Partnerships

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    This paper deploys the adaptive cycle as a construct to understand the dynamics of community engagement and partnership building during an international service-learning project. A multi-disciplinary team of USA-based university students collaborated with a local community in Zambia to build two ventilated improved pit (VIP) latrines. Post-field project reflection challenged the ‘product-first’ view commonly held in service learning projects.  Time was a central point of post-field reflection. Through critical scrutiny, the team came to recognize that contextually sensitive relationship building had been essential in enabling community ownership of the project.  The construct of the adaptive cycle provided a crucial analytical tool for tracing the process through which partners from very different backgrounds achieved a sense of common purpose and opened the way for an understanding of community engagement as weaving a thread through the complex dynamics of partnership. The adaptive cycle may be useful in the preparation and implementation framework for other service learning projects emanating from institutions of higher education

    Tropospheric Carbon Monoxide Measurements from the Scanning High-Resolution Interferometer Sounder on 7 September 2000 in Southern Africa During SAFARI 2000

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    [1] Retrieved tropospheric carbon monoxide (CO) column densities are presented for more than 9000 spectra obtained by the University of Wisconsin-Madison (UWis) Scanning High-Resolution Interferometer Sounder (SHIS) during a flight on the NASA ER-2 on 7 September 2000 as part of the Southern African Regional Science Initiative (SAFARI 2000) dry season field campaign. Enhancements in tropospheric column CO were detected in the vicinity of a controlled biomass burn in the Timbavati Game Reserve in northeastern South Africa and over the edge of the river of smoke in south central Mozambique. Relatively clean air was observed over the far southern coast of Mozambique. Quantitative comparisons are presented with in situ measurements from five different instruments flying on two other aircraft: the University of Washington Convair-580 (CV) and the South African Aerocommander JRB in the vicinity of the Timbavati fire. Measured tropospheric CO columns (extrapolated from 337 to 100 mb) of 2.1 × 1018 cm−2 in background air and up to 1.5 × 1019 cm−2 in the smoke plume agree well with SHIS retrieved tropospheric CO columns of (2.3 ± 0.25) × 1018 cm−2 over background air near the fire and (1.5 ± 0.35) × 1019 cm−2 over the smoke plume. Qualitative comparisons are presented with three other in situ CO profiles obtained by the South African JRA aircraft over Mozambique and northern South Africa showing the influence of the river of smoke

    The Southern African Regional Science Initiative (SAFARI 2000): Overview of the Dry Season Field Campaign

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    The Southern African Regional Science Initiative (SAFARI 2000) is an international science project investigating the earth-atmosphere-human system in southern Africa. The programme was conducted over a two-year period from March 1999 to March 2001. The dry season field campaign (August-September 2000) was the most intensive activity and involved over 200 scientists from eighteen countries. The main objectives were to characterize and quantify biogenic, pyrogenic and anthropogenic aerosol and trace gas emissions and their transport and transformations in the atmosphere, and to validate NASA\u27s Earth Observing System\u27s satellite Terra within a scientific context. Five aircraft - two South African Weather Service Aerocommanders, the University of Washington\u27s CV-580, the U.K. Meteorological Office\u27s C-130, and NASA\u27s ER-2-with different altitude capabilities, participated in the campaign. Additional airborne sampling of southern African air masses, that had moved downwind of the subcontinent, was conducted by the CSIRO over Australia. Multiple observations were made in various geographical sectors under different synoptic conditions. Airborne missions were designed to optimize the value of synchronous over-flights of the Terra satellite platform, above regional ground validation and science targets. Numerous smaller-scale ground validation activities took place throughout the subcontinent during the campaign period

    New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS)

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    GEMS will monitor air quality over Asia at unprecedented spatial and temporal resolution from GEO for the first time, providing column measurements of aerosol, ozone and their precursors (nitrogen dioxide, sulfur dioxide and formaldehyde). Geostationary Environment Monitoring Spectrometer (GEMS) is scheduled for launch in late 2019 - early 2020 to monitor Air Quality (AQ) at an unprecedented spatial and temporal resolution from a Geostationary Earth Orbit (GEO) for the first time. With the development of UV-visible spectrometers at sub-nm spectral resolution and sophisticated retrieval algorithms, estimates of the column amounts of atmospheric pollutants (O3, NO2, SO2, HCHO, CHOCHO and aerosols) can be obtained. To date, all the UV-visible satellite missions monitoring air quality have been in Low Earth orbit (LEO), allowing one to two observations per day. With UV-visible instruments on GEO platforms, the diurnal variations of these pollutants can now be determined. Details of the GEMS mission are presented, including instrumentation, scientific algorithms, predicted performance, and applications for air quality forecasts through data assimilation. GEMS will be onboard the GEO-KOMPSAT-2 satellite series, which also hosts the Advanced Meteorological Imager (AMI) and Geostationary Ocean Color Imager (GOCI)-2. These three instruments will provide synergistic science products to better understand air quality, meteorology, the long-range transport of air pollutants, emission source distributions, and chemical processes. Faster sampling rates at higher spatial resolution will increase the probability of finding cloud-free pixels, leading to more observations of aerosols and trace gases than is possible from LEO. GEMS will be joined by NASA's TEMPO and ESA's Sentinel-4 to form a GEO AQ satellite constellation in early 2020s, coordinated by the Committee on Earth Observation Satellites (CEOS)

    Africa burning: A thematic analysis of the Southern African Regional Science Initiative (SAFARI 2000)

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    The Southern African Regional Science Initiative (SAFARI 2000) was a major surface, airborne, and spaceborne field campaign carried out in southern Africa in 2000 and 2001 that addressed a broad range of phenomena related to land-atmosphere interactions and the biogeochemical functioning of the southern African system. This paper presents a thematic analysis and integration of the Journal of Geophysical Research SAFARI 2000 Special Issue, presenting key findings of an intensive field campaign over southern Africa in August and September of 2000

    The Drape: a new way to characterize ecosystem states, dynamics, and tipping points from process-based models

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    International audienceThere are many ways to study ecosystem dynamics, all having several issues. Main limitations of differential equation systems are the necessarily small number of interactions between few variables used, and parameter values to be set before the system dynamics can be studied. Main drawbacks of large-scale snapshot observation datasets to build a stability landscape are assuming that the most represented conditions are the most stable states, and using the computed landscape to directly study the system’s dynamics. To remedy these aforementioned shortcomings and study complex systems based on the processes that characterize them without having to limit the number of variables, neither set parameter values, nor to use observations serving both model buildup and system’s dynamics analysis, we propose a geometric model as an additional and novel aid to study ecosystem dynamics. The Drape is a generic multi-dimensional analysis, derived from process-based model datasets that include disturbances. We illustrate the methodology to apply our concept on a continental-scale system and by using a mechanistic vegetation model to obtain values of state variables. The model integrates long-term dynamics in ecosystem components beyond the theoretical stability and potential landscape representations currently published. Our approach also differs from others that use resolution of differential equation systems. We used Africa as example, representing it as a grid of 9395 pixels. We simulated each pixel to build the ecosystem domain and then to transform it into the Drape – the mean response surface. Then, we applied a textural analysis to this surface to discriminate stable states (flat regions) from unstable states (gradient or crest regions), which likely represent tipping points. Projecting observed data onto the Drape surface allows testing ecological hypotheses, such as illustrated here with the savanna-forest alternative stable states, that are still today debated topics, mainly due to methods and data used. The Drape provides new insights on all ecosystem types and states, identifying likely tipping points (represented as narrow ridges versus stable states across flat regions), and allowing projection and analysis of multiple ecosystem types whose state variables are based on the same three variables

    The Definition of Community: A Student Perspective

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    <p>When designing service-learning programs, catch-words like &lsquo;community engagement&rsquo; and &lsquo;community partners&rsquo; comes to mind. As undergraduate students seeking funding for research-service projects abroad, we are told to work with and through &lsquo;the community&rsquo; and to have &lsquo;community-centered&rsquo; project design. The dominant rhetoric gives rise to a homogenizing and simplifying view of &lsquo;community&rsquo; that is implicit to &lsquo;community engagement&rsquo; initiatives. In June 2010, we traveled to Belize on a research grant with the goal of installing slow-sand water filters in a rural community. Our perceptions of &lsquo;community&rsquo; profoundly shaped the way we designed and implemented our project, and we quickly found that our initial conception of the &lsquo;community&rsquo; was incorrect. We saw that there is a large difference between how the &lsquo;community&rsquo; is treated in service-learning discourse and actual on-the-ground realities. This paper offers a unique student perspective on the definition of &lsquo;community.&rsquo; We hope that other students will learn from our experiences and that educators will be able to more critically examine how the concept of &lsquo;community&rsquo; is presented to students.</p><p>&nbsp;</p><p><span style="text-decoration: underline;">KEYWORDS</span></p><p>service-learning; community engagement; definition of community; student perspective</p

    Observation and quantification of aerosol outflow from southern Africa using spaceborne lidar

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    Biomass burning in Africa provides a prolific source of aerosols that are transported from the source region to distant areas, as far away as South America and Australia. Models have long predicted the primary outflow and transport routes. Over time, field studies have validated the basic production and dynamics that underlie these transport patterns. In more recent years, the advancement of spaceborne active remote-sensing techniques has allowed for more detailed verification of the models and, importantly, verification of the vertical distribution of the aerosols in the transport regions, particularly with respect to westerly transport over the Atlantic Ocean. The Cloud-Aerosol Transport System (CATS) lidar on the International Space Station has detection sensitivity that provides observations that support long-held theories of aerosol transport from the African subcontinent over the remote Indian Ocean and as far downstream as Australia. Significance: Biomass burning in Africa can have impacts as far away as Australia. Flow of aerosols from Africa towards Australia has long been postulated by transport models, but has been poorly characterised due to a lack of measurements. The CATS instrument on the International Space Station has detection sensitivity that captures aerosol transport from Africa over the Indian Ocean to Australia. Open data set:&nbsp; https://cats.gsfc.nasa.gov

    Sulphur isotopes in the central Namib Desert ecosystem

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    <div><p>The Namib Desert is hyper-arid in terms of rainfall, but its ecology is influenced by frequent fog events. Fog utilisation by Namib biota has been well studied, but its role in nutrient deposition and cycling, particularly with respect to soil processes, still has open questions. Given its potential for distinguishing between various ecosystem components and fluxes, sulphur isotopic composition (δ<sup>34</sup>S) is evaluated here as a passive tracer of aerosol deposition and plant water sources in the Namib. Measurements of δ<sup>34</sup>S in Namib fog, groundwater, soils, plants and aerosols are presented and are consistent with the previously described system of sulphur cycling: primary marine sulphur accumulates as gypsum in the gravel plains and is redistributed by wind. Kuiseb River sediments had a wide range of δ<sup>34</sup>S values, with several samples that were quite depleted relative to soils, plants, groundwater and gypsum of the gravel plains. This depleted signal appears more commonly in the fine (0.5, 1.0 <i>µ</i>m) rather than in the coarse (1.5, 7.6 <i>µ</i>m) aerosol size fractions. Fog and aerosol δ<sup>34</sup>S values are consistent with local dust as a major sulphur source, limiting the utility of δ<sup>34</sup>S as a unique tracer of fog deposition. It can still provide useful information in certain situations. For example, the 16.5‰ δ<sup>34</sup>S value for the brackish groundwater at Hope Mine is distinct from the 10.2‰ value in <i>Welwitschia mirabilis</i> stem material at that site. This type of comparison could be one useful line of evidence in evaluating plant water sources.</p></div
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