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  1. Article ; Online: Mapping global inputs and impacts from of human sewage in coastal ecosystems.

    Cascade Tuholske / Benjamin S Halpern / Gordon Blasco / Juan Carlos Villasenor / Melanie Frazier / Kelly Caylor

    PLoS ONE, Vol 16, Iss 11, p e

    2021  Volume 0258898

    Abstract: Coastal marine ecosystems face a host of pressures from both offshore and land-based human activity. Research on terrestrial threats to coastal ecosystems has primarily focused on agricultural runoff, specifically showcasing how fertilizers and livestock ...

    Abstract Coastal marine ecosystems face a host of pressures from both offshore and land-based human activity. Research on terrestrial threats to coastal ecosystems has primarily focused on agricultural runoff, specifically showcasing how fertilizers and livestock waste create coastal eutrophication, harmful algae blooms, or hypoxic or anoxic zones. These impacts not only harm coastal species and ecosystems but also impact human health and economic activities. Few studies have assessed impacts of human wastewater on coastal ecosystems and community health. As such, we lack a comprehensive, fine-resolution, global assessment of human sewage inputs that captures both pathogens and nutrient flows to coastal waters and the potential impacts on coastal ecosystems. To address this gap, we use a new high-resolution geospatial model to measure and map nitrogen (N) and pathogen-fecal indicator organisms (FIO)-inputs from human sewage for ~135,000 watersheds globally. Because solutions depend on the source, we separate nitrogen and pathogen inputs from sewer, septic, and direct inputs. Our model indicates that wastewater adds 6.2Tg nitrogen into coastal waters, which is approximately 40% of total nitrogen from agriculture. Of total wastewater N, 63% (3.9Tg N) comes from sewered systems, 5% (0.3Tg N) from septic, and 32% (2.0Tg N) from direct input. We find that just 25 watersheds contribute nearly half of all wastewater N, but wastewater impacts most coastlines globally, with sewered, septic, and untreated wastewater inputs varying greatly across watersheds and by country. Importantly, model results find that 58% of coral and 88% of seagrass beds are exposed to wastewater N input. Across watersheds, N and FIO inputs are generally correlated. However, our model identifies important fine-grained spatial heterogeneity that highlight potential tradeoffs and synergies essential for management actions. Reducing impacts of nitrogen and pathogens on coastal ecosystems requires a greater focus on where wastewater inputs vary across the planet. Researchers and practitioners can also overlay these global, high resolution, wastewater input maps with maps describing the distribution of habitats and species, including humans, to determine the where the impacts of wastewater pressures are highest. This will help prioritize conservation efforts.Without such information, coastal ecosystems and the human communities that depend on them will remain imperiled.
    Keywords Medicine ; R ; Science ; Q
    Subject code 333
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Mapping global inputs and impacts from of human sewage in coastal ecosystems

    Cascade Tuholske / Benjamin S. Halpern / Gordon Blasco / Juan Carlos Villasenor / Melanie Frazier / Kelly Caylor

    PLoS ONE, Vol 16, Iss

    2021  Volume 11

    Abstract: Coastal marine ecosystems face a host of pressures from both offshore and land-based human activity. Research on terrestrial threats to coastal ecosystems has primarily focused on agricultural runoff, specifically showcasing how fertilizers and livestock ...

    Abstract Coastal marine ecosystems face a host of pressures from both offshore and land-based human activity. Research on terrestrial threats to coastal ecosystems has primarily focused on agricultural runoff, specifically showcasing how fertilizers and livestock waste create coastal eutrophication, harmful algae blooms, or hypoxic or anoxic zones. These impacts not only harm coastal species and ecosystems but also impact human health and economic activities. Few studies have assessed impacts of human wastewater on coastal ecosystems and community health. As such, we lack a comprehensive, fine-resolution, global assessment of human sewage inputs that captures both pathogens and nutrient flows to coastal waters and the potential impacts on coastal ecosystems. To address this gap, we use a new high-resolution geospatial model to measure and map nitrogen (N) and pathogen—fecal indicator organisms (FIO)—inputs from human sewage for ~135,000 watersheds globally. Because solutions depend on the source, we separate nitrogen and pathogen inputs from sewer, septic, and direct inputs. Our model indicates that wastewater adds 6.2Tg nitrogen into coastal waters, which is approximately 40% of total nitrogen from agriculture. Of total wastewater N, 63% (3.9Tg N) comes from sewered systems, 5% (0.3Tg N) from septic, and 32% (2.0Tg N) from direct input. We find that just 25 watersheds contribute nearly half of all wastewater N, but wastewater impacts most coastlines globally, with sewered, septic, and untreated wastewater inputs varying greatly across watersheds and by country. Importantly, model results find that 58% of coral and 88% of seagrass beds are exposed to wastewater N input. Across watersheds, N and FIO inputs are generally correlated. However, our model identifies important fine-grained spatial heterogeneity that highlight potential tradeoffs and synergies essential for management actions. Reducing impacts of nitrogen and pathogens on coastal ecosystems requires a greater focus on where wastewater inputs vary across the ...
    Keywords Medicine ; R ; Science ; Q
    Subject code 333
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Adaptive Governance and Market Heterogeneity

    Jordan Blekking / Cascade Tuholske / Tom Evans

    Sustainability, Vol 9, Iss 12, p

    An Institutional Analysis of an Urban Food System in Sub-Saharan Africa

    2017  Volume 2191

    Abstract: African cities face immense challenges over the coming decades. As countries urbanize, African cities must maintain service provision for rapidly increasing populations, yet with limited resources. In particular, urban food systems must be able to cope ... ...

    Abstract African cities face immense challenges over the coming decades. As countries urbanize, African cities must maintain service provision for rapidly increasing populations, yet with limited resources. In particular, urban food systems must be able to cope with regional food shortages and catalyze (or at least enable) the distribution of food from diverse sources in order to ensure that the cost of food remains affordable for all of the segments of a city’s population. Food systems in most African cities are composed of wholesale sellers, formal markets, street vendors, shops, and increasingly large-scale international stores, creating an evolving landscape of food sources. At the same time, urban population growth can result in rapid changes in urban structure with new peri-urban development and transitions in socioeconomic status within existing areas. Governance plays an important role in the creation and coordination of formal and informal actors across different types of food providers. At the municipal level, new markets must be approved to keep pace with urban expansion. Within residential areas, market management committees must work to maintain traditional markets in the context of increasing competition from large-scale grocers and small-scale street vendors. We use household and market-level data that was collected in Lusaka, Zambia, to conduct an institutional analysis of residential areas to examine the interplay between households, public markets, and street vendors. Analysis of the city’s food system identifies a complex network of relationships featuring formal and informal governance arrangements, which may affect food system functionality.
    Keywords food system governance ; urban food security ; urban food systems ; institutions ; Zambia ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 360
    Language English
    Publishing date 2017-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Implications for Tracking SDG Indicator Metrics with Gridded Population Data

    Cascade Tuholske / Andrea E. Gaughan / Alessandro Sorichetta / Alex de Sherbinin / Agathe Bucherie / Carolynne Hultquist / Forrest Stevens / Andrew Kruczkiewicz / Charles Huyck / Greg Yetman

    Sustainability, Vol 13, Iss 7329, p

    2021  Volume 7329

    Abstract: Achieving the seventeen United Nations Sustainable Development Goals (SDGs) requires accurate, consistent, and accessible population data. Yet many low- and middle-income countries lack reliable or recent census data at the sufficiently fine spatial ... ...

    Abstract Achieving the seventeen United Nations Sustainable Development Goals (SDGs) requires accurate, consistent, and accessible population data. Yet many low- and middle-income countries lack reliable or recent census data at the sufficiently fine spatial scales needed to monitor SDG progress. While the increasing abundance of Earth observation-derived gridded population products provides analysis-ready population estimates, end users lack clear use criteria to track SDGs indicators. In fact, recent comparisons of gridded population products identify wide variation across gridded population products. Here we present three case studies to illuminate how gridded population datasets compare in measuring and monitoring SDGs to advance the “fitness for use” guidance. Our focus is on SDG 11.5, which aims to reduce the number of people impacted by disasters. We use five gridded population datasets to measure and map hazard exposure for three case studies: the 2015 earthquake in Nepal; Cyclone Idai in Mozambique, Malawi, and Zimbabwe (MMZ) in 2019; and flash flood susceptibility in Ecuador. First, we map and quantify geographic patterns of agreement/disagreement across gridded population products for Nepal, MMZ, and Ecuador, including delineating urban and rural populations estimates. Second, we quantify the populations exposed to each hazard. Across hazards and geographic contexts, there were marked differences in population estimates across the gridded population datasets. As such, it is key that researchers, practitioners, and end users utilize multiple gridded population datasets—an ensemble approach—to capture uncertainty and/or provide range estimates when using gridded population products to track SDG indicators. To this end, we made available code and globally comprehensive datasets that allows for the intercomparison of gridded population products.
    Keywords Sustainable Development Goals ; hazards ; Earth observations ; remote sensing ; demography ; urbanization ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 333
    Language English
    Publishing date 2021-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Real-Time Evolution of Zika Virus Disease Outbreak, Roatán, Honduras

    Trevor Brooks / Arup Roy-Burman / Cascade Tuholske / Michael P. Busch / Sonia Bakkour / Mars Stone / Jeffrey M. Linnen / Kui Gao / Jayleen Coleman / Evan M. Bloch

    Emerging Infectious Diseases, Vol 23, Iss 8, Pp 1360-

    2017  Volume 1363

    Abstract: A Zika virus disease outbreak occurred in Roatán, Honduras, during September 2015–July 2016. Blood samples and clinical information were obtained from 183 patients given a clinical diagnosis of suspected dengue virus infection. A total of 79 patients ... ...

    Abstract A Zika virus disease outbreak occurred in Roatán, Honduras, during September 2015–July 2016. Blood samples and clinical information were obtained from 183 patients given a clinical diagnosis of suspected dengue virus infection. A total of 79 patients were positive for Zika virus, 13 for chikungunya virus, and 6 for dengue virus.
    Keywords Zika virus ; Zika virus disease ; viruses ; outbreak ; evolution ; dengue ; Medicine ; R ; Infectious and parasitic diseases ; RC109-216
    Language English
    Publishing date 2017-08-01T00:00:00Z
    Publisher Centers for Disease Control and Prevention
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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