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Found 9972 publications. Showing page 180 of 399:

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Mass deaths of crocodiles in the Kruger National Park, South Africa: an investigation into possible causes.

Nieuwoudt, C.; Quinn, C.; Pieters, R.; Enge, E.K.; Kylin, H.; Pienaar, D.; Bouwman, H.

2009

Mass Cultivation of Microalgae: I. Experiences with Vertical Column Airlift Photobioreactors, Diatoms and CO2 Sequestration

From 2015 to 2021, we optimized mass cultivation of diatoms in our own developed vertical column airlift photobioreactors using natural and artificial light (LEDs). The project took place at the ferrosilicon producer Finnfjord AS in North Norway as a joint venture with UiT—The Arctic University of Norway. Small (0.1–6–14 m3) reactors were used for initial experiments and to produce inoculum cultures while upscaling experiments took place in a 300 m3 reactor. We here argue that species cultivated in reactors should be large since biovolume specific self-shadowing of light can be lower for large vs. small cells. The highest production, 1.28 cm3 L−1 biovolume (0.09–0.31 g DW day−1), was obtained with continuous culture at ca. 19% light utilization efficiency and 34% CO2 uptake. We cultivated 4–6 months without microbial contamination or biofouling, and this we argue was due to a natural antifouling (anti-biofilm) agent in the algae. In terms of protein quality all essential amino acids were present, and the composition and digestibility of the fatty acids were as required for feed ingredients. Lipid content was ca. 20% of ash-free DW with high EPA levels, and omega-3 and amino acid content increased when factory fume was added. The content of heavy metals in algae cultivated with fume was well within the accepted safety limits. Organic pollutants (e.g., dioxins and PCBs) were below the limits required by the European Union food safety regulations, and bioprospecting revealed several promising findings.

2022

Marine Contribution to Antarctic Carbonaceous Aerosol

Rauber, M.; Salazar, G.; Yttri, Karl Espen; Moschos, V.; Haddad, Imad El; Prévôt, A. S. H.; Glasius, M.; Szidat, S.

2021

Mapscore database. NILU F

Vik, A.F.; Braathen, G.O.

2003

Mapscore database. NILU F

Vik, A.F.; Braathen, G.O.

2003

Mapping urban air quality using low-cost sensors: Opportunities and challenges.

Schneider, P.; Castell, N.; Lahoz, W.; Vallejo, I.; Bartonova, A.

2016

Mapping urban air quality using low-cost sensor networks

Schneider, Philipp; Castell, Nuria; Bartonova, Alena

2020

Mapping urban air quality using a network of low-cost sensors: A data assimilation approach

Schneider, Philipp; Castell, Nuria; Bartonova, Alena; Lahoz, William A.

2018

Mapping urban air quality in real-time: Applications of crowdsourced microsensor data.

Schneider, P.; Castell, N.; Vogt, M.; Lahoz, W.; Bartonova, A.

2017

Mapping selected organic contaminants in the Barents Sea 2007. NIVA-rapport, 5589-2008

Bakke, T.; Boitsov, S.; Breivik, E.M.; Gabrielsen, G.W.; Green, N.; Halgason, L.B.; Klungsøyr, J.; Laknes, H.; Miljeteig, C.; Måge, A.; Rolfsnes, B.E.; Savinova, T.; Schlabach, M.; Skaare, B.B.; Valdersnes, S.

2008

Mapping potential conflicts between global agriculture and terrestrial conservation

Demand for food products, often from international trade, has brought agricultural land use into direct competition with biodiversity. Where these potential conflicts occur and which consumers are responsible is poorly understood. By combining conservation priority (CP) maps with agricultural trade data, we estimate current potential conservation risk hotspots driven by 197 countries across 48 agricultural products. Globally, a third of agricultural production occurs in sites of high CP (CP > 0.75, max = 1.0). While cattle, maize, rice, and soybean pose the greatest threat to very high-CP sites, other low-conservation risk products (e.g., sugar beet, pearl millet, and sunflower) currently are less likely to be grown in sites of agriculture–conservation conflict. Our analysis suggests that a commodity can cause dissimilar conservation threats in different production regions. Accordingly, some of the conservation risks posed by different countries depend on their demand and sourcing patterns of agricultural commodities. Our spatial analyses identify potential hotspots of competition between agriculture and high-conservation value sites (i.e., 0.5° resolution, or ~367 to 3,077km2, grid cells containing both agriculture and high-biodiversity priority habitat), thereby providing additional information that could help prioritize conservation activities and safeguard biodiversity in individual countries and globally. A web-based GIS tool at https://agriculture.spatialfootprint.com/biodiversity/ systematically visualizes the results of our analyses.

2023

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