23 research outputs found

    The Effects of Access Restrictions and Communication Strategies for Divisive Environmental Management

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    In 2018, the U.S. National Park Service announced a controversial plan to translocate 20−30 gray wolves (Canis lupus) to Isle Royale National Park to increase genetic diversity and ultimately the dwindling wolf population. Media were restricted physical access during the translocations, citing safety concerns for the wolves and management team, as well as logistical challenges because of the remoteness of the park. Given these restrictions, we used interviews and quantitative analyses of news stories and press releases to examine what communication strategies the National Park Service and its partners deployed and how access restriction affected the way news outlets covered the events. By identifying source diversity groups, we found U.S. government sources were predominately featured with few other source types included, and that coverage heavily relied on press release information. We discuss the implications of this communication strategy and potential consequences for access restrictions when covering divisive events in remote locations

    Preparing the Next Generation of Sustainability Scientists

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    Graduate programs emerging in universities over recent decades support the advanced study of sustainability issues in complex socio-environmental systems. Constructing the problem-scope to address these issues requires graduate students to integrate across disciplines and synthesize the social and natural dimensions of sustainability. Graduate programs that are designed to foster inter- and transdisciplinary research acknowledge the importance of training students to use integrative research approaches. However, this training is not available in all graduate programs that support integrative research, often requiring students to seek external training opportunities. We present perspectives from a group of doctoral students with diverse disciplinary backgrounds conducting integrative research in universities across the United States who participated in a 10-day, National Science Foundation-funded integrative research training workshop to learn and develop socio-environmental research skills. Following the workshop, students conducted a collaborative autoethnographic study to share pre- and postworkshop research experiences and discuss ways to increase integrative research training opportunities. Results reveal that students, regardless of disciplinary background, face common barriers conducting integrative research that include: (1) lack of exposure to epistemological frameworks and team-science skills, (2) challenges to effectively include stakeholder perspectives in his/her research, and (3) variable levels of committee support to conduct integrative research. To overcome the identified barriers and advance integrative research, students recommend how training opportunities can be embedded within existing graduate programs. Students advocate that both internal and external training opportunities are necessary to support the next generation of sustainability scientists

    Non-Invasive Detection of a Small Number of Bioluminescent Cancer Cells In Vivo

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    Early detection of tumors can significantly improve the outcome of tumor treatment. One of the most frequently asked questions in cancer imaging is how many cells can be detected non-invasively in a live animal. Although many factors limit such detection, increasing the light emission from cells is one of the most effective ways of overcoming these limitations. Here, we describe development and utilization of a lentiviral vector containing enhanced firefly luciferase (luc2) gene. The resulting single cell clones of the mouse mammary gland tumor (4T1-luc2) showed stable light emission in the range of 10,000 photons/sec/cell. In some cases individual 4T1-luc2 cells inserted under the skin of a nu/nu mouse could be detected non-invasively using a cooled CCD camera in some cases. In addition, we showed that only few cells are needed to develop tumors in these mice and tumor progression can be monitored right after the cells are implanted. Significantly higher luciferase activity in these cells allowed us to detect micrometastases in both, syngeneic Balb/c and nu/nu mice

    Quantitative ecology at the graduate level

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/167785/1/fee2338_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/167785/2/fee2338.pd

    Climate change, cattle, and the challenge of sustainability in a telecoupled system in Africa

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    Information, energy, and materials are flowing over greater distances than in the past, changing the structure and feedbacks within and across coupled human and natural systems worldwide. The telecoupling framework was recently developed to understand the feedbacks and multidirectional flows characterizing social and environmental interactions between distant systems. We extend the application of the telecoupling framework to illustrate how flows in beef affect and are affected by social-ecological processes occurring between distant systems in Africa, and how those dynamics will likely change over the next few decades because of climate-induced shifts in a major bovine disease, trypanosomosis. The disease is currently wide-spread in Africa, affecting millions of cattle every year and resulting in massive economic losses. Increasing temperatures are predicted to substantially reduce the geographic range of the cattle disease by 2050 in regions of Africa, thereby potentially releasing cattle from disease control in those areas. Despite the societal and economic benefits, greater cattle production can also lead to significant environmental degradation. Our investigation takes a qualitative, yet systematic, approach to explore how changes in the regional distribution of cattle production, caused by shifts in the bovine disease, will affect the social and ecological conditions of the telecoupled system in the future. Doing so lays the groundwork to quantify telecouplings and improve decision making under uncertainty in the future

    Human adaptation strategies are key to cobenefits in human–wildlife systems

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    Sustainable development goals such as global food security and biodiversity conservation can conflict because these efforts create situations where humans and wildlife share landscapes, often leading to interactions that detrimentally affect both groups. Therefore, coexistence between humans and wildlife is more likely when adaptation strategies produce and sustain cobenefits, rather than benefitting one group only. However, we lack a good understanding of how different social and ecological factors contribute to cobenefit outcomes, which limits our opportunities to address local issues and scale up successful conservation actions. Here, we performed the first global review of the human–wildlife interaction literature to assess which human adaptation strategies generated cobenefits and how stakeholder involvement and other context‐specific conditions mediated those outcomes. We found that active guarding, fencing, repellents, and socioeconomic mechanisms consistently led to cobenefits across species and contexts. Thus, these interventions might be the best candidates for scaling up coexistence from local to regional or national scales. Surprisingly, stakeholder involvement was less consequential than other variables, yet, overall, it played an important role in sustaining cobenefits regardless of adaptation strategy or social–ecological context. We highlight future research directions to help manage tradeoffs and achieve sustainable coexistence outcomes in shared landscapes.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/167539/1/conl12769.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/167539/2/conl12769_am.pd

    Integrating spaceborne estimates of structural diversity of habitat into wildlife occupancy models

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    Vegetation structure is a crucial dimension of wildlife habitat, responsive to global changes in human activities and ecosystem processes. NASA’s recent Global Ecosystem Dynamics Investigation (GEDI) provides an exciting opportunity to explore how spaceborne waveform observations can improve our ability to measure wildlife habitat and advance animal ecology in the Anthropocene. We tested the utility of GEDI data in univariate occupancy models to estimate habitat use in a remote mountain system in central Idaho, USA. We collected data from 49 camera trap stations from two surveys in 2018–2019 and modeled the occupancy for each of seven mammal species representing different trophic levels and feeding strategies: American black bear ( Ursus americanus ), deer ( Odocoileus hemionus ), elk ( Cervus canadensis ), moose ( Alces alces ), coyote ( Canis latrans ), wolf ( Canis lupus ), and mountain lion ( Puma concolor ). We first derived structural diversity indices (richness, evenness, and divergence) of GEDI-derived canopy height, plant area index, and foliage height diversity to represent different dimensions of vegetation structure. This spatial aggregation is necessary due to gaps in GEDI footprints and parallels commonly used functional diversity metrics applied to biological communities that are calculated using trait probability densities. We measured these indices across three spatial scales that reflect different species movement and habitat selection patterns. We found the structural diversity indices of canopy height, foliage height diversity, and plant area index had the strongest effects on the occupancy of most mammals compared to two-dimensional (2D) variables (e.g. tree cover, normalized difference vegetation index). The spatial extent of these indices also influenced the strength of response, highlighting the importance of selecting a scale large enough to capture sufficient GEDI footprints but small enough to reflect site-level variance. Compared to 2D covariates, our results suggest that GEDI variables allow researchers to generate more detailed inference on the forms of habitat that wildlife use. We discuss the implications of these findings for habitat management and future wildlife research from local to global scales
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